bluuebunny/crossref_metadata_2025_split huggingface dataset:
The development of a high-plex spatial proteomic methodology for the characterisation of the head and neck tumour microenvironment
Authors: Tan Chin Wee , Berrell Naomi , Donovan Meg L , Monkman James , Sadeghirad Habib , Naei Vahid Yaghoubi , Chen Jinjin , Rossenbloom Alyssa , Bonnett Shilah , Conner Mark , Filanoski Brian , Kang Christine , Beechem Joseph M. , Fraser John F , Barnett Catherine , Ladwa Rahul , Hughes Brett GM , Kulasinghe Arutha 
Published: October 2024

Abstract

Mucosal head and neck squamous cell carcinoma (HNSCC) is a debilitating disease that accounts for an estimated 890,000 new cases per year, making it the seventh most common cancer globally. HNSCC is a heterogenous group of cancers that affect various regions of the head and neck which stem from the epithelial cells in the mucosal lining. Despite advancements in chemotherapy, radiotherapy, surgery and immunotherapy, the prognosis of HNSCC has remained relatively unchanged for more than a decade. There is a need to better understand the tumour microenvironment (TME) using spatially resolved approaches, to gain insights into the TME associated with clinical endpoints such as Disease-Free Survival (DFS) and Overall Survival (OS). Here, we profiled 84 mucosal HNSCC tissue samples using next-generation ultra-high plex spatial protein profiling (580-proteins, Immuno-Oncology Proteome Atlas) and spatial transcriptome mapping (18,000 mRNA, Whole Transcriptome Atlas) from Nanostring Technologies (Bruker). Patient specimens were collected during tumour resection, where patients then went on to receive either chemotherapy and/or radiotherapy. Each patient tissue sample was subdivided into tumour and stromal regions prior to digital spatial profiling. We found that patient survival outcomes (both DFS and OS) were associated with anatomical locations and tumour stage. Notably, there were specific proteomic and transcriptomic features in both the tumour and stromal regions that associated with DFS and OS. Independent validation of key proteomic findings (including CD34 and CD44) was performed using single-cell protein profiling (PhenoCycler-Fusion, Akoya Biosciences). Finally, cell type deconvolution based on transcriptomic signatures revealed cell types associated with patient survival. Taken together, this study provides a systematic workflow for discovery and validation of high-plex protein and transcriptomic profiling in mucosal HNSCC.
Analysis of risk factors and complications of neonatal infection in 500 pregnant women with premature rupture of membranes
Authors: Yu Xiaohong , Chen Haiying , Chen Guoce 
Published: October 2024

Abstract

Objective
Analyze the risk factors and complications of neonatal infection in 500 pregnant women with premature rupture of membranes(PROM), providing guidance for early prevention and timely treatment in clinical practice.
Methods
This retrospective study included 500 pregnant women randomly selected between October 2023 and October 2024, who were admitted to the obstetrics department of Wenzhou People's Hospital,Zhejiang Province, China, at 37-40 weeks of pregnancy due to PROM.Based on the infection status of newborns, the participants were divided into an infected group(77 cases) and an uninfected group(423 cases).The differences between the two groups were compared,and the risk factors and complications of neonatal infections were evaluated and analyzed.
Results
Neonatal infection was used as the dependent variable,while the duration of PROM, length of the first stage, length of the second stage, nulliparity, placental inflammation,fetal tachocardia, prenatal fever, amniotic fluid contamination,and group B streptococcus (GBS) colonization were used as independent variables. The results indicated that the duration of PROM, length of the first stage,length of the second stage,placental inflammation,fetal tachocardia, prenatal fever, amniotic fluid contamination,and GBS colonization wereindependent risk factors for neonatal infections (p<0.05).In this study, the neonatal infection rate was 15.4%, including 19 cases of pneumonia (24.6%), 8 cases of respiratory distress syndrome (10.4%), 10 cases of respiratory failure (13.0%), and 40 cases of early-onset neonatal infection (52.0%). Among the 77 cases of neonatal infections, 11 cases (14.3%) were severe infections.
Conclusion: Pregnant women with PROM face a higher risk of neonatal infection and severe neonatal infection, especially when associated with certain risk factors. In clinical practice, it is crucial to closely monitorfull-term pregnant women with PROM, improve the management of PROM, actively administer antibiotics to prevent infection, and terminate pregnancy promptly to minimize neonatal risks.These measures can help prevent and reduce the occurrence of neonatal infections, including severe cases.
Prevalence of complementary therapy use for inflammatory arthritis patients: A cross-sectional study
Authors: Ni Jianping , Wang Xinqi , Fang Jun , Zhang Tao , Ni Man , Deng Yujie , Sun Xiaoya , Chen Yuting , Pan Faming 
Published: October 2024

Abstract

Objective
To investigate the characteristics of patients with inflammatory arthritis (IA) who use complementary and alternative medicine (CAM) and to examine the relationship between pain, fatigue, anxiety, depression, and sleep status in patients with IA and the use of CAM.
Method
A cross-sectional study was conducted at the Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui Medical University in Anhui, China between October 2021 and February 2022. Unpaired Student's t-tests, Chi-square tests, and Pearson correlation tests were employed to compare users versus non-users. Finally, logistic regression analysis was used to explore the independent influences on the use of CAM in inflammatory joint disease.
Result
Significant associations were found between Multidimensional Fatigue Inventory (MFI) scores, the Depression-Anxiety-Stress Self-Assessment Scale (DASS-21), and the Pittsburgh Sleep Quality Index (PSQI), and CAM use. The results showed that the logistic regression model was statistically significant (χ2 = 64.891, P = 0.000), and the model diagnostic compliance rate was 65.2%. The Hosmer Leeshawn test showed P = 0.787 > 0.05 and the model was well fitted.
Conclusion
Overall, older age, longer disease duration, higher disease activity, and more severe anxiety levels were associated with higher rates of CAM utilization.
Targeting climate finance for global forests
Authors: Austin Kemen , Favero Alice , Forsell Nicklas , Sohngen Brent , Wade Chris , Ohrel Sara , Ragnauth Shaun 
Published: October 2024

Abstract

Comprehensive data on the costs of climate change mitigation are needed to direct the scale and distribution of climate finance to the sectors and regions where it will be most cost effective. We estimate finance needed to achieve regional forest-based mitigation targets aggregated from Nationally Determined Contributions (NDCs) to the Paris Agreement, submitted between 2015 - 2021. We compare the costs of achieving these regional targets to a Global Coordination scenario in which a similar level of finance is available as is required to meet upper bound NDC targets, but which allows mitigation to occur in regions where it is lowest cost. We find that regions accounting for 70% of global forest carbon stocks can meet or exceed their forest-based NDC targets with carbon prices less than $100 / ton CO2. Total investment required to meet these goals is $28-70 billion annually by 2030. Under a Global Coordination scenario, we project nearly 3x the quantity of mitigation as in the upper bound NDC scenario, under similar levels of investment, in 2030. These findings demonstrate an opportunity for increasing mitigation action among regions with low-cost abatement potential that is not reflected in current NDCs, as well as substantial cost savings via policy solutions that target low-cost mitigation opportunities. This assessment provides insight into the magnitude and distribution of forest climate finance needed to reach current mitigation targets and informs the development of the next generation of NDCs.
Enhancing Public Finance Accountability: A Comprehensive Analysis of Parliamentary Oversight on Audit Reports in Bangladesh
Authors: Jubaer AKM 
Published: October 2024

Abstract

This research paper, titled "Enhancing Public Finance Accountability: A Comprehensive Analysis of Parliamentary Oversight on Audit Reports in Bangladesh," delves into the critical role of parliamentary oversight in ensuring fiscal accountability within the context of Bangladesh's economic landscape. Against the backdrop of commendable economic growth, the study scrutinizes the challenges faced by the Public Accounts Committee (PAC) and the Office of the Comptroller and Auditor General (OCAG) in examining government audit reports. The research questions aim to assess the effectiveness of current oversight mechanisms, identify challenges encountered by the PAC, and propose actionable recommendations. Utilizing a theoretical framework grounded in accountability theory, institutional analysis, and governance literature, the study employs a mixed-method research design. Primary data is extracted from PAC reports and parliamentary proceedings, supplemented by external sources and comparative case studies. The comprehensive analysis reveals multifaceted challenges, including political interference, resource limitations, and technological gaps, hindering the transparency and accountability of public finances. The study combines mixed-method research, including efficiency analysis, document analysis, key informant interviews, surveys, and case studies, to propose actionable recommendations for strengthening transparency, accountability, and good governance in Bangladesh's financial management. The findings emphasize the urgent need for reforms and a multifaceted strategy to address the identified challenges, fostering economic growth and sustainable development. The findings underscore the urgency for a holistic strategy, leading to a set of recommendations categorized into capacity building, independence and transparency reforms, digitalization and automation, open government data initiatives, and strategic resource allocation. A long-term impact assessment envisions positive economic outcomes, including GDP growth and reduced deficit and debt burden, endorsing the transformative potential of the proposed reforms. In conclusion, this research emphasizes the pivotal role of parliamentary oversight in reshaping Bangladesh's financial governance. The proposed recommendations, supported by a multicriterial analysis, offer a pathway to fortify public finance accountability, fostering transparency, efficiency, and public trust. The research contributes valuable insights for policymakers, practitioners, and citizens, advocating for continuous inquiry to refine strategies and ensure sustained improvements in governance and accountability.
One-fifth of the world's population at high risk from climate-related hazards
Authors: Hill Ruth , Gorgulu Nisan , Brunckhorst Ben , Nguyen Minh , Hallegatte Stephane , Naikal Esther 
Published: October 2024

Abstract

Climate change is increasing the frequency and intensity of extreme weather events. When these events occur, they threaten lives and livelihoods. Here we estimate the global population at high risk from climate-related hazards by examining household level vulnerability and local exposure to four types of events: droughts, floods, heatwaves and cyclones. Under current climate conditions, 4.5 billion people are expected to experience these hazards at intensities exceeding critical thresholds within their lifetime. One third of this population is considered highly vulnerable, based on seven dimensions that influence potential welfare impacts: income, education, access to finance, social protection, drinking water, electricity, and access to services and markets. Overall, we estimate that 1 in 5 people globally are at high risk from these hazards meaning that they are likely to experience them and would struggle to recover from their impacts. While the proportion of the population at high risk has nearly halved since 2010 due to decreased vulnerability, the number of people exposed has increased, and progress has been uneven across regions. This study demonstrates how household survey and high-resolution spatial data can be used to consistently track climate risks across countries and over time. The findings are relevant for policymakers working on climate change adaptation strategies.
Penerapan Machine Learning dalam Aplikasi Penjualan Produk Secara Online (Studi Pada Mitra Gobiz di Kota Malang)
Authors: Ridho Zamrudhi Akhlul , Firmanto Yuki 
Published: October 2024

This study aims to determine the application of machine learning on Gobiz merchant application, employing phenomenological qualitative approach. Data are collected from interviews and document studies, and analyzed by PIECES methodwith Information System Success Model (ISSM) analysis as an indicator of its assessment. The results of this study exhibit that the application of machine learning on Gobiz application is fairly good, including stable performance, availability of information and recommendations, supporting economic aspects, security, efficiency and adequate service, making Gobiz the priority application for businessowners in selling their products online.

Abstrak
Penelitian ini bertujuan untuk mengetahui bagaimana penerapan machine learning pada salah satu aplikasi penjualan produk secara online, yakni Gobiz. Penelitian ini merupakan jenis penelitian kualitatif dengan pendekatan fenomenologi. Teknik pengumpulan data yang digunakan adalah wawancara dan studi dokumen. Metode yang digunakan yaitu metode PIECES dengan analisis Information System Susscess Model (ISSM) sebagai indikator penilaiannya. Hasil penelitian ini menunjukkan bahwa penerapan machine learning pada aplikasi Gobiz sudah cukup baik, yakni mencakup kestabilan performa, ketersediaan informasi dan rekomendasi, pendukung aspek ekonomi, keamanan, efisiensi dan pelayanan yang memadai. Hal ini yang menjadikan Gobiz menjadi aplikasi prioritas bagi para pemilik usaha dalam menjual produknya secara online.
Value Relevance of Fair Value of Financial Assets Among Indonesia Banking Companies
Authors: Farhan Hariadi Pratama  , Subekti Imam 
Published: October 2024

This research aims to prove the value relevance of share price which are linked to Earning Per share and Book Value per share. Moderated by the fair value of financial assets. This research employs a quantitative approach. The population in this study are banking company listed on the Indonesia Stock Exchange (IDX). This research use banking companies as the sample, taking 68 observable data with a total sample size of 34 companies within 2 years of observation from 2021 to 2022 are collected from documentation of the annual reports. This study used the method of multiple linear regression. Within this research, it shows that earnings per share and book value per share have a positive and significant effect on share prices. Then, the fair value of financial assets can strengthen the effect of earnings per share and book value per share on share prices.

Abstrak
Penelitian ini bertujuan untuk membuktikan relevansi nilai terhadap harga saham yang diukut dengan Earning Per share dan Book Value per share serta dimoderasi oleh nilai wajar aset keuangan. Penelitian ini menggunakan pendekatan kuantitatif. Populasi pada penelitian ini adalah perusahaan perbankan yang terdaftar di Bursa Efek Indonesia (BEI). Penelitian ini menggunakan perusahaan perbankan sebagai sampel, mengambil 68 data yang dapat diobservasi dengan jumlah sampel 34 perusahaan dalam 2 tahun pengamatan dari 2021 sampai 2022 dikumpulkan dari dokumentasi berupa laporan tahunan. Penelitian ini menggunakan metode regresi linier berganda. Dalam penelitian ini, menunjukkan bahwa earning per share dan book value per share berpengaruh positif dan signifikan terhadap harga saham. Lalu, Nilai wajar aset keuangan dapat memperkuat pengaruh earning per share dan book value per share terhadap harga saham.
The Association Between COVID-19 Vaccination Uptake and Information-Seeking Behaviors Using the Internet: Nationwide Cross-Sectional Study
Authors: Taira Kazuya , Shiomi Misa , Nakabe Takayo , Imanaka Yuichi 
Published: October 2024

Background
The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet’s role as a vital resource for seeking health information. The proliferation of misinformation on social media was observed, potentially influencing vaccination decisions and timing.

Objective
This study aimed to explore the relationship between COVID-19 vaccination rates, including the timing of vaccination, and reliance on internet-based information sources in Japan.

Methods
Using a cross-sectional study design using a subset of panel data, this nationwide survey was conducted in 7 waves. A total of 10,000 participants were randomly selected through an internet survey firm, narrowing down to 8724 after applying inclusion and exclusion criteria. The primary outcome was the COVID-19 vaccination date, divided into vaccinated versus unvaccinated and early versus late vaccination groups. The main exposure variable was the use of internet-based information sources. Control variables included gender, family structure, education level, employment status, household income, eligibility for priority COVID-19 vaccination due to pre-existing medical conditions, and a health literacy scale score. Two regression analyses using generalized estimating equations accounted for prefecture-specific correlations, focusing on vaccination status and timing. In addition, chi-square tests assessed the relationship between each information source and vaccination rates.

Results
Representing a cross-section of the Japanese population, the regression analysis found a significant association between internet information seeking and higher vaccination rates (adjusted odds ratio [aOR] 1.42 for those younger than 65 years; aOR 1.66 for those aged 65 years and older). However, no significant link was found regarding vaccination timing. Chi-square tests showed positive associations with vaccination for television, government web pages, and web news, whereas blogs and some social networking sites were negatively correlated.

Conclusions
Internet-based information seeking is positively linked to COVID-19 vaccination rates in Japan, underscoring the significant influence of online information on public health decisions. Nonetheless, certain online information sources, including blogs and some social networks, negatively affected vaccination rates, warranting caution in their use and recognition. The study highlights the critical role of credible online sources in public health communication and the challenge of combating misinformation on less regulated platforms. This research sheds light on how the digital information landscape influences health behaviors, stressing the importance of accurate and trustworthy health information amidst global health emergencies.
Simulación quirúrgica en modelos biológicos porcinos en la formación de residentes de cirugía cardiotorácica
Authors: Sierra Fernández Carlos Rafael , Suárez Bravo María Fernanda , Hernández Mejía Iván , Juárez Hernández Alejandro , Castillo Romero César , Sánchez Pacheco Jesús 
Published: October 2024

Introducción: Los planes de residencia médica quirúrgicos enfrentan el dilema de los métodos de enseñanza tradicionales, que promueven la adquisición de habilidades y competencias por medio de prácticas “in vivo”. Al día de hoy, el proceso de aprendizaje para la práctica quirúrgica de la cirugía cardiaca no ha logrado consolidarse totalmente. El desarrollo de nuevas estrategias de enseñanza es necesario para la evolución de los planes de entrenamiento. Una opción viable es generar programas de simulación en modelos biológicos que se sumen a los planes de enseñanza tradicionales.
Objetivo: Evaluar el impacto en el desarrollo de habilidades quirúrgicas de un programa de aprendizaje estructurado de técnicas de cirugía cardiaca en modelos biológicos porcinos en un grupo de residentes de cirugía cardiotorácica.
Método: Se implementó un programa de simulación quirúrgica en modelos biológicos porcinos conformado por 20 sesiones teórico-prácticas, simulando la interacción entre cirujano y primer ayudante dentro de quirófano, guiados por un tutor y dos instructores. Se realizó una evaluación y análisis sobre el impacto del programa, en el desarrollo de habilidades y conocimientos adquiridos, al inicio y al término del programa.
Resultados: Se realizaron 20 prácticas durante el ciclo académico, con 10 médicos residentes participantes, observándose una evolución favorable en las habilidades motrices de los asistentes evaluados al finalizar el programa, con una media en la calificación inicial de 18.8 (DS ±4.686), que evolucionó a 27.3 (DS ±2.003) de un total de 30 puntos al final del programa.
Discusión: Con base en la evaluación del programa, se observó una mejoría en las habilidades quirúrgicas obtenidas por los médicos residentes.
Conclusiones: El aprendizaje por simulación implica un proceso de práctica segura para los residentes y pacientes, que tiene un impacto positivo en el desarrollo de habilidades motrices.
Factores asociados a la publicación científica en estudiantes de medicina colombianos
Authors: Franco-Ramírez Juan-Darío , Álvarez-Escobar Sergio , Taborda-Cardona Tatiana , Prado-Echeverry Julio Andrés , Alzate-Piedrahita John Alexander 
Published: October 2024

Introducción: En Latinoamérica es significativamente bajo el número de estudiantes que participa de manera activa en proyectos fuera de los ofrecidos por su currículo y mucho menor el número de estudiantes que se encuentra en grupos o semilleros dedicados a la investigación.
Objetivo: Identificar las dinámicas en el contexto del desarrollo de una investigación y publicación científica en una población de estudiantes de pregrado de medicina en Colombia.
Métodos: Estudio de corte transversal en el que se utilizó una encuesta autoaplicada sobre intereses en la investigación y número de publicaciones a distintos estudiantes de medicina en todo el país.
Resultados: Se realizaron 235 encuestas, el 60.9% correspondieron al sexo femenino; la media de edad fue de 21.1 años; la media de semestre fue de 6.64 semestres cursados; la moda fue 6 semestres cursados; y la media de publicaciones fue de 0.5 publicaciones por estudiante encuestado. Se evaluaron estudiantes de 31 universidades distintas a lo largo de Colombia, de las cuales el 58.3% fue de carácter público. El 28.9% de los encuestados tenía algún tipo de publicación científica. Se encontró asociación entre publicación y mayor edad (p = 0.003), mayor semestre académico (p < 0.001), pertenecer a una sociedad científica de estudiantes de medicina (p = 0.004), tener un manuscrito en proceso de publicación (p < 0.001), sexo masculino (p < 0.010) y presentar un trabajo de investigación en un congreso (p < 0.001). Dentro de las dificultades para publicación, destaca la ausencia de asesoría por parte de un docente, debido a alta carga académica.
Conclusión: El número de estudiantes que se involucran en procesos de investigación es bajo, se necesita un cambio de enfoque desde el pregrado de medicina que estimule la participación de estudiantes en investigación y desarrollo científico.