bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of the HOTAIR (rs920778) and miR-3117 (rs7512692) variants on the Susceptibility and Clinicopathologic characteristics of patients with colorectal cancer
Authors: Trujillo-Fernández Yuri Giovanna Vanessa , Rodríguez-Torres Dalia Elizabeth , Tovar-Jacome Cesar de Jesús , Barros-Núñez Patricio , Godínez-Rodríguez Miriam Yadira , Pérez-Bojórquez Perla Janeth , Flores-Martínez Luis Alberto , Pineda-Razo Tomás Daniel , Marín-Contreras María Eugenia , Alcaraz-Wong Aldo Antonio , Mariscal-Ramírez Ignacio , Rosales-Reynoso Mónica Alejandra 
Published: May 2024

Abstract

Background: Colorectal cancer (CRC) is the most common type of gastrointestinal cancer. Genetic, epigenetic, and lifestyle factors have been implicated in the development of CRC. Non-coding RNAs such as HOX transcript antisense RNA (HOTAIR) andmiR-3117genes have been associated with cell proliferation, progression, invasion, and metastasis as well as poor survival in several cancers. This study examines the potential association between theHOTAIRrs920778 andmiR-3117variants and the clinicopathological features of CRC in Mexican patients.Methods: The study included peripheral blood samples from 588 individuals (289 CRC patients and 299 controls). The variants were identified by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The association was calculated using the odds ratio (OR) test. P-values were adjusted using the Bonferroni test (0.016).Results: Individuals carrying the T/C and T/T genotypes for theHOTAIRrs920778 variant exhibited a higher susceptibility to CRC (OR=1.73, 95% CI: 1.15-2.58, P=0.009 and OR=2.78, 95% CI: 1.74-4.45, P=0.001, respectively). Male patients older than 50 years and carrying the C/C genotype demonstrated an increased susceptibility for developing CRC (OR=1.73, 95% CI: 1.15-2.58, P=0.009). Additionally, C/C genotype carriers exhibited an association with advanced TNM stage. Furthermore, for the rs7512692 variant of themiR-3117gene, patients carrying the C/T genotype exhibited increased susceptibility for developing CRC (OR=1.92, 95% CI: 1.35-2.74, P=0.001). Male patients over 50 years of age and carrying the C/T genotype demonstrated increased susceptibility for early TNM stages and tumor location in the colon.Conclusion: The results obtained suggest that theHOTAIRrs920778 andmiR-3117rs7512692 variants play a significant role in colorectal cancer risk.
Resource curse: Natural resources and their divergent Impact on development in Madagascar
Authors: Josué ANDRIANADY Ravahiny 
Published: May 2024

Abstract

Madagascar, renowned for its rich biodiversity and abundant natural resources, faces a perplexing paradox: the very assets that hold promise for economic advancement often present formidable barriers to development. This study delves into the intricate dynamics of the ''raw material curse'' in Madagascar, where the exploitation of natural resources fails to translate into sustained economic growth and prosperity. Through an in-depth analysis of economic data and empirical evidence, we uncover the complex interplay between natural resource abundance, economic dependency, and development outcomes. Our findings underscore the urgent need for targeted policy interventions to mitigate the adverse effects of resource dependence and foster inclusive development. By shedding light on the challenges posed by the raw material curse, this research aims to inform policymakers, stakeholders, and the international community about the imperative of sustainable and equitable resource management in Madagascar's quest for socio-economic advancement.
L1 Education in Times of Globalization, Digitalization and Super-Diversity
Authors: Kroon Sjaak , Spotti Massimiliano 
Published: May 2024

This introduction first briefly sketches the (history of the) International Mother Tongue Education Network (IMEN). IMEN was founded in 1981 as an information and research network that over the years initiated an empirical-interpretive research program focusing on comparative analyses of the rhetoric and practices of L1 education across a dozen of European countries. Main elements of IMEN’s methodology that will be discussed below were the development of different types of research collaboration, a theoretical framework for comparative analysis, and a method for international triangulation. It then describes how, at the turn of the century, IMEN’s way of doing slow science became increasingly threatened by the requirements of publish or perish mainstream research, and how its research program was confronted with the challenges posed to L1 education by processes of globalization, digitalization, and super-diversity, becoming manifest in the superdiverse nature of student bodies, their sociolinguistic and ethnocultural doings, and the increasingly digitalized modes of teaching and learning they are exposed to. All these elements, in one way or another, also have an impact on the teaching-learning practices in mainstream L1 education and consequently must be addressed by IMEN-like studies. Finally this contribution briefly introduces the contributions to this special issue and suggests that they are a strong argument for a renewed interest in international comparative discussion on and around L1 education and a plea to further collaborative research from an empirical interpretive ethnographic perspective on teachers’ professional practical knowledge and classroom practices that can guide our understanding of the ubiquitous school subject L1 education that aims at preparing students for a global, digital, and super-diverse society.
Limning of HIF-2 and HIF-3 in the Tumor Microenvironment: Developing Concepts for the Treatment of Hypoxic Cancer
Authors: Ray Suman Kumar , Mukherjee Sukhes 
Published: May 2024

Abstract:
Hypoxia, characterized by insufficient oxygen supply to tissues, is a
significant factor in tumor growth and resistance to treatment. The hypoxia-inducible
factor (HIF) signaling pathway is activated when oxygen levels decline, influencing cell
activities and promoting tumor progression. HIF-1α and HIF-2α are the main targets for
therapeutic intervention in tumors. Nevertheless, the significance of HIF-2α is often
overlooked. This review examines the physiological role of HIF-2α in tumor growth and
its involvement in tumor growth. HIFs, composed of hypoxia-responsive α and oxygeninsensitive
β subunits, play a crucial role in controlling gene expression in both normal
and solid tumor tissues under low oxygen levels. HIF-3α, formerly considered a
detrimental modulator of HIF-regulated genes, exerts a transcriptional regulatory role
by inhibiting gene expression through competition with HIF-1α and HIF-2α for binding
to transcriptional sites in target genes under hypoxia. Recent research indicates that
various HIF-3 variants exhibit distinct and potentially contrasting functionalities.
Hypoxia often occurs during the initiation and progression of cancer formation. Recent
research has discovered that HIF-2α, also known as endothelial PAS domain protein
1, has a significant impact on tumors. HIF-2α is a significant cancer-causing gene and
a crucial predictor of prognosis in non-small cell lung cancer. However, due to limited
research investigating the relationship between HIF-2α and small-cell lung cancer, it is
not possible to reach a definitive conclusion. HIF-2α plays a vital function in cancer by
preserving the stemness of cancer cells. This review provides a comprehensive
overview of HIF-2 and the role of HIF-3 in various cancer-related processes, as well as
its potential as a targeted therapeutic approach.
Need-satisfaction as a Mediator of Teaching Style and School-Bullying Intentions
Authors: Purwandari Eny , Rahayu Sabrina Anindya , Taufik Taufik 
Published: May 2024

Background
In response to the escalating incidents of bullying, the Indonesian government initiated the Roots Program. This program emphasizes the establishment of positive discipline through the involvement of teachers employing an authoritative teaching style.

Aim
This research aimed to analyze the role of teachers in shaping bullying intentions by employing a model based on the framework of the basic psychological needs theory.

Objective
The objective of this study was to explore the mediating effect of need satisfaction on the relationship between an authoritative teaching style and bullying intentions among high school students.

Methods
This study employed a correlational quantitative approach, utilizing convenience sampling to gather data from 396 high school and vocational school students. Data collection involved the use of three scales: the modified Bullying Intention Scale, the Indonesian version of TASCQ, and the Indonesian version of the BPNSFS Satisfaction subscale. Data analysis was conducted using PLS-SEM.

Results
The findings indicated that basic psychological need-satisfaction significantly mediates the relationship between authoritative teaching style and bullying intentions (β = -0.11, p<0.05, 95%CI = -0.17, -0.07). Although the relationship is significant, the effect of an authoritative teaching style on bullying intentions through the mediation of basic psychological need satisfaction remains weak.

Discussion
Consistent with the basic psychological needs theory framework, this study confirms the critical role of need satisfaction in promoting anti-bullying attitudes. Students who perceive their psychological needs being met through the implementation of an authoritative teaching style by teachers exhibit lower bullying intentions.

Conclusion
The study concludes that periodic assessments of the basic psychological need-satisfaction of students are essential for the sustainability of anti-bullying programs, thereby enhancing the effectiveness of such initiatives.
Dermal Delivery of Hypericum perforatum (L.) Loaded Nanogel: Formulation
to Preclinical Psoriasis Assessment
Authors: Singh Neelam , Yadav Shubh Deep , Gupta Puneet , Ali Faraat , Arora Sandeep 
Published: May 2024

Background:
Nanophytosomes represent an effective choice for topical drug delivery
systems thanks to their small size, general non-toxicity, ease of functionalization and high surface
to volume ratio. The goal of the current study was to investigate the potential benefits of using Hypericum
perforatum extract nanogel as a means of improving skin penetration and prolonging skin
deposition in dermatitis similar to psoriasis.

Methods:
Nanophytosomes (NPs) were developed, optimised and thoroughly characterised. The optimised
NPs were then placed in a Carbopol gel base matrix and tested ex-vivo (skin penetration and
dermatokinetic) and in-vivo (antipsoriatic activity in an Imiquimod-induced psoriatic rat model).

Results:
The optimised NPs had a spherical form and entrapment efficiency of 69.68% with a nanosized
and zeta potential of 168nm and -10.37mV, respectively. XRD spectra and transmission
electron microscopy tests confirmed the plant botanical encapsulation in the NPs. Following 60
days of storage at 40 ± 2°C/75 ± 5% RH, the optimised formula remained relatively stable. As
compared to extract gel, nano-gel showed a much-improved ex vivo permeability profile and considerable
drug deposition in the viable epidermal-dermal layers. When developed nano-gel was applied
topically to a rat model of psoriasis, it demonstrated distinct in vivo anti-psoriatic efficacy in
terms of drug activity and reduction of epidermal thickness in comparison to other formulations and
the control. ELISA and histopathologic studies also demonstrated that nano-organogel had improved
skin integrity and downregulated inflammatory markers (IL-17, IL-6, IFN-γ and MCP-1).

Conclusion:
Findings suggest that a developed plant botanicals-based nanogel has a potential for
the treatment of psoriasis-like dermatitis with better skin retention and effectiveness.
Chitosan and Chitosan-Essential Oil Composites as Edible Coatings for Meat and Meat Products: A Review
Authors: Abd Elgadir Mohamed , Mirghani Mohamed E. S. , Mariod Abdalbasit 
Published: May 2024

Abstract:
The massive and uncontrolled use of petroleum-based plastic food packaging has resulted
in serious environmental problems. As a result, the food packaging industry should improve
packaging materials based on biodegradable polymers, such as chitosan. Edible food coating
maintains and improves the shelf life and condition of packaged foods. Researchers have widely
investigated the potential applications of biodegradable natural polymers, such as chitosan, cellulose,
starch, whey protein, and gelatin in the food packaging industry. Among the natural biodegradable
materials available, chitosan and its derivatives have attracted great interest because they
have antimicrobial, antifungal, and metal-chelating properties. They are biodegradable polysaccharides
and are non-toxic; therefore, they are considered perfect materials for food coating. Adding
other active materials, such as fruit extracts, phenolic compounds, and essential oils, can significantly
enhance the antimicrobial and antioxidant capacity of chitosan-based packaging materials.
Thus, this article investigates the recent updates in food packaging applications based on
chitosan essential oil composites.
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling
Authors: Mullick Tahsin , Shaaban Sam , Radovic Ana , Doryab Afsaneh 
Published: May 2024

Background
Passive mobile sensing provides opportunities for measuring and monitoring health status in the wild and outside of clinics. However, longitudinal, multimodal mobile sensor data can be small, noisy, and incomplete. This makes processing, modeling, and prediction of these data challenging. The small size of the data set restricts it from being modeled using complex deep learning networks. The current state of the art (SOTA) tackles small sensor data sets following a singular modeling paradigm based on traditional machine learning (ML) algorithms. These opt for either a user-agnostic modeling approach, making the model susceptible to a larger degree of noise, or a personalized approach, where training on individual data alludes to a more limited data set, giving rise to overfitting, therefore, ultimately, having to seek a trade-off by choosing 1 of the 2 modeling approaches to reach predictions.

Objective
The objective of this study was to filter, rank, and output the best predictions for small, multimodal, longitudinal sensor data using a framework that is designed to tackle data sets that are limited in size (particularly targeting health studies that use passive multimodal sensors) and that combines both user agnostic and personalized approaches, along with a combination of ranking strategies to filter predictions.

Methods
In this paper, we introduced a novel ranking framework for longitudinal multimodal sensors (FLMS) to address challenges encountered in health studies involving passive multimodal sensors. Using the FLMS, we (1) built a tensor-based aggregation and ranking strategy for final interpretation, (2) processed various combinations of sensor fusions, and (3) balanced user-agnostic and personalized modeling approaches with appropriate cross-validation strategies. The performance of the FLMS was validated with the help of a real data set of adolescents diagnosed with major depressive disorder for the prediction of change in depression in the adolescent participants.

Results
Predictions output by the proposed FLMS achieved a 7% increase in accuracy and a 13% increase in recall for the real data set. Experiments with existing SOTA ML algorithms showed an 11% increase in accuracy for the depression data set and how overfitting and sparsity were handled.

Conclusions
The FLMS aims to fill the gap that currently exists when modeling passive sensor data with a small number of data points. It achieves this through leveraging both user-agnostic and personalized modeling techniques in tandem with an effective ranking strategy to filter predictions.
Determinan Penguat Aktivitas Pendukung Pertumbuhan Ekonomi Pada Sektor Industri Pengolahan di Kabupaten/Kota Jawa Timur
Authors: Flourenansyah Ferra 
Published: May 2024

This study aims to identify the influence of the workforce, the industrial processing sector and the quality of education on economic growth. The research method uses multiple linear regression test panel data, which covers 38 regencies/cities of East Java Province for the 2013-2021 period. The results of the study show that labor has a positive and insignificant effect on economic growth, while the manufacturing sector has a positive and significant effect on economic growth, and for the quality of education it has a negative and significant effect on economic growth.

Penelitian ini bertujuan untuk mengidentifikasi pengaruh tenaga kerja, sektor industri pengolahan dan kualitas pendidikan terhadap pertumbuhan ekonomi. Metode penelitian menggunakan uji regresi linier berganda data panel, yang mencakup 38 kabupaten/kota Provinsi Jawa Timur periode 2013-2021. Hasil penelitian mengemukakan jika tenaga kerja berpengaruh positif dan tidak signifikan terhadap pertumbuhan ekonomi, sedangkan sektor industri pengolahan berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi, dan untuk kualitas pendidikan memiliki pengaruh negatif dan signifikan terhadap pertumbuhan ekonomi.
Analisis Faktor-Faktor yang Mempengaruhi Kemiskinan di Kawasan Kabupaten Provinsi Jawa Barat
Authors: 'Izazi Zulfaya Salsabila , Boedirochminarni Arfida 
Published: May 2024

This study aims to determine the factors of poverty in the Regency Area of ​​West Java Province in 2017-2021. The analysis tool used is quantitative descriptive using secondary data from BPS with panel data which is time series data for the 2017-2021 period and cross section data from 18 regencies in West Java Province. The method used in this study is the panel data regression method with the help of Eviews 9. The most appropriate model for using panel data is the Random Effect Model. The results of the study show that the variable Economic Growth has a positive and significant effect on poverty in the Regency Area of ​​West Java Province, the Human Development Index Variable has a negative and significant effect on poverty in the Regency Area of ​​West Java Province, the Open Unemployment Rate variable has a positive and significant effect on poverty in the Region Regency of West Java Province.

Penelitian ini bertujuan untuk mengetahui faktor-faktor kemiskinan di Kawasan Kabupaten Provinsi Jawa Barat Tahun 2017-2021. Alat analisis yang digunakan adalah deskriptif kuantitatif dengan menggunakan data sekunder yang berasal dari BPS dengan data panel yang merupakan data time series periode 2017-2021 dan data cross section dari 18 kabupaten di Provinsi Jawa Barat. Metode yang digunakan dalam penelitian ini adalah dengan menggunakan metode regresi data panel dengan bantuan Eviews 9. Adapun model yang paling tepat dalam penggunaan data panel adalah Random Effect Model. Dari hasil penelitian menunjukkan bahwa variabel Pertumbuhan Ekonomi berpengaruh positif dan signifikan terhadap kemiskinan di Kawasan Kabupaten Provinsi Jawa Barat, Variabel Indeks Pembagunan Manusia berpengaruh negatif dan signifikan terhadap kemiskinan di Kawasan Kabupaten Provinsi Jawa Barat, variabel Tingkat Pengangguran Terbuka berpengaruh positif dan signifikan terhadap kemiskinan di Kawasan Kabupaten Provinsi Jawa Barat.
Analisis Pengaruh Rata-Rata Lama Sekolah, Umur Harapan Hidup Saat Lahir, dan Pengeluaran Perkapita terhadap Pertumbuhan Ekonomi Kabupaten/Kota di Provinsi DKI Jakarta
Authors: Swastika Siska Utari , Arifin Zainal 
Published: May 2024

This study aims to determine whether there is an effect of the HDI component on economic growth in regencies/cities in DKI Jakarta Province in 2016-2022. The data used is secondary data sourced from the Central Bureau of Statistics (BPS). The analysis used in this study is Panel Data Regression Analysis using the Fixed Effect Model (FEM) approach. Based on the results of the analysis, it shows that the average length of schooling has a positive and not significant effect, life expectancy has a negative and significant effect, and per capita expenditure has a positive and significant effect on economic growth in 2016-2022 in regencies/cities in DKI Jakarta Province.

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh komponen IPM terhadap pertumbuhan ekonomi pada Kabupaten/Kota di Provinsi DKI Jakarta tahun 2016-2022. Data yang digunakan adalah data sekunder yang bersumber dari Badan Pusat Statistik (BPS). Analisis yang digunakan dalam penelitian ini adalah Analisis Regresi Data Panel dengan menggunakan pendekatan Fixed Effect Model (FEM). Berdasarkan hasil analisis menunjukkan bahwa Rata – rata lama sekolah berpengaruh positif dan tidak signifikan, Umur harapan hidup berpengaruh negatif dan signifikan, dan Pengeluaran perkapita berpengaruh positif dan signifikan terhadap Pertumbuhan Ekonomi pada tahun 2016-2022 pada Kabupaten/Kota di Provinsi DKI Jakarta.
Pengaruh Pengeluaran Pemerintah Sektor Pendidikan, Kesehatan, dan Infrastruktur Terhadap Pertumbuhan Ekonomi di Wilayah Indonesia Bagian Timur
Authors: Abdillah Irsyadul Ibad , Primitasari Novi 
Published: May 2024

This study aims to determine the effect of Government Expenditure in the Education, Health and Infrastructure sectors on Economic growth in Eastern Indonesia. The method used in this study is using panel data regression. The results of this study simultaneously variable Government Expenditure in the Education sector, Government Expenditure in the Health sector, and Government Expenditure in the Infrastructure sector have a significant positive effect on Indonesia's economic growth.

Penelitian ini bertujuan untuk mengetahui pengaruh Pengeluaran Pemerintah sektor Pendidikan, Kesehatan, dan Infrastruktur terhadap pertumbuhan Ekonomi di wilayah Indonesia Bagian Timur. Metode yang digunakan dalam penelitian ini yaitu menggunakan regresi data panel. Hasil dari penelitian ini secara simultan variabel Pengeluaran Pemerintah sektor Pendidikan, Pengeluaran Pemerintah sektor Kesehatan, dan Pengeluaran Pemerintah sektor Infrastruktur berpengaruh positif signifikan terhadap pertumbuhan ekonomi Indonesia.
Faktor-Faktor Penyerapan Tenaga Kerja di Pulau Jawa
Authors: Silvia Adelia , Susilowati Dwi 
Published: May 2024

Problems that have not been resolved so far in Indonesia are related to employment. The increase in the number of job seekers is not proportional to the number of jobs available. This study aims to analyze factors related to employment in Java Island using three independent variables, namely gross regional domestic product, provincial minimum wage and human development index. This study uses combined data, namely time series data with a period of 10 years, namely 2011 to 2021 and cross section data with 6 provinces in Java Island. The method used is panel data regression. The results of the study show that regional gross domestic product, provincial minimum wage and human development index have a significant influence on employment in Java.

Indonesia masih menghadapi masalah penyerapan tenaga kerja. Jumlah pencari kerja yang meningkat tidak sebanding dengan jumlah pekerjaan yang tersedia. Produk domestik regional bruto, upah minimum provinsi, dan indeks pembangunan manusia adalah tiga variabel independen yang digunakan dalam penelitian ini. Tujuan dari penelitian ini adalah untuk menganalisis hubungan antara fakto-faktor penyerapan tenaga kerja di Pulau Jawa. Studi ini menggunakan data gabungan, yang mencakup data time series dari tahun 2011 hingga 2021, dan data cross-section dari enam provinsi Pulau Jawa. Indeks pembangunan manusia, upah minimum provinsi, dan produk domestik regional bruto memiliki pengaruh yang signifikan terhadap penyerapan tenaga kerja di Pulau Jawa.