bluuebunny/crossref_metadata_2025 huggingface dataset:
The Dilemma and Breakthrough of Gaming Dream: A Study on the Survival Status and Career Path of Semi-Professional Gaming Youths
Authors: Wang Zhengxiao
Published: January 2025

With the rapid development of the e-sports industry, semi-professional e-sports youth, as an important but relatively disadvantaged group in the e-sports career ecology, face many difficulties such as economic pressure, narrow career paths, and insufficient social cognition. This study focuses on the survival status and career path of semi-professional e-sports youth, and proposes countermeasures at the macro, meso and micro levels by analyzing the problems they face. That is, at the macro level, to improve industry policies and career protection, and to promote the standardized development of the e-sports industry; at the meso level, to improve the social perception of e-sports, and to strengthen the support of families and communities; and at the micro level, to provide players with guidance on career planning, comprehensive skills training, and mental health support, and to help them achieve sustainable development. The study shows that solving the plight of semi-professional e-sports youth not only helps to improve the career development of this group, but also has important significance for the healthy development of the e-sports industry and the diversification of the social career ecology.
Identifying Novel Aging-Related Biomarkers for Age-related Macular Degeneration with Integrative Bioinformatics Approaches
Authors: Zhao Liangchuer
Published: January 2025

Age-related macular degeneration (AMD) is the leading cause of visual impairment in older adults worldwide and is a condition that causes visual deprivation. There exist two subcategories of this disease with the wet form of this disease being the focus of our study. Using bioinformatic analysis, this research conducted investigations to uncover the genes related to aging that may be biomarkers for the development of AMD. First, we compared the expression levels of samples from AMD/CNV patients and a control group using the GEO microarrays (GSE29801) in order to obtain differentially expressed genes (DEGs). WGCNA, combined with functional enrichment analysis, is utilized to discover and validate the gene module crucial for AMD. Differentially expressed aging-related genes (DEARGs) were identified by overlapping significant gene sets. The subcellular location of hub DEARGs and their corresponding cell subpopulations were determined and predicted using the Geo dataset GSE155288. Pan-cancer analyses were used to confirm those hub DEARGs function in other diseases. Moreover, both Protein-Protein Interaction (PPI) and AlphaFold prediction were employed to validate the protein interaction among the key DEARGs. Lastly, a potential target drug was selected, with portions of them validated through drug-protein interactions. In further analysis of our result, the collect gene set of 7 DEARGs was divided into the immune-related group and the non-immune-related group. These groups uncovered two distinct pathways of AMD development, with one triggering inflammatory responses by promoting macrophage proliferation and the other inducing choroidal neovascularization formation due to malfunctioning growth regulator genes
Application of CRISPR technology in cardiomyocyte electrophysiology
Authors: Han Yukun , Huang Zhe , Zhang Bojun
Published: January 2025

This paper explores the rising prevalence of cardiovascular disease, highlighting an anticipated increase in patient numbers worldwide. Three major cardiovascular disorders are emphasized: 1) congestive heart failure (CHF), 2) coronary atherosclerosis (CA), and 3) arrhythmia, with arrhythmia identified as especially critical due to its impact on cardiovascular electrophysiology. Advances in molecular biology, particularly with the CRISPR-Cas9 gene-editing technology, have introduced promising therapeutic avenues for these conditions. CRISPR-Cas9 has demonstrated effectiveness in reducing specific cytoplasmic signaling interactions, enhancing the division rate of human mesenchymal stem cells (hMSCs) within connective tissue. This gene-editing intervention targets and partially modifies the Toll-like receptor 4 (TLR4) pathway, leading to reduced secretion of certain cytoplasmic factors. As a result, cardiomyocytes (CMs) can undergo improved division, promoting stable electrophysiological functions essential in managing arrhythmia. Further, CRISPR-Cas9s capacity for precise double screening and knockout of TLR4-associated sequences holds potential for symptom alleviation and decreased arrhythmia incidence, representing a significant advance in cardiac disorder therapeutics.
Research on the application of CRISPR technology in the treatment of type 1 diabetes (T1D)
Authors: Chen Mingyi , Liu Juntong , Zhang Lefan
Published: January 2025

Diabetes is a chronic disease with a rapid increase in incidence, which is a general problem around the world. Two main types of diabetes are included. Polygenic diabetes includes type 1 diabetes (T1D) and type 2 diabetes (T2D), and their monogenic forms are juvenile mature diabetes (MODY) and neonatal diabetes (NDM). CRISPR technology is a gene therapy technology with low cost but very high feasibility. At present, researchers have envisioned the use of CRISPR technology in the treatment of T1D, but this technology has a high off-target rate, immune rejection and no abundant clinical trials in the human body to verify this technology, resulting in the fact that this technology is not really used in clinical treatment. In the middle. This article mainly analyzes and summarizes the problems and solutions encountered by CRISPR-cas9 technology from basic theory to idealized models. This article provides new solutions for the treatment of T1D with CRISPR technology and also provides references for this technology. In addition, problems such as immune rejection in the human body have not been solved. Future research can focus on the solution to the problem of the suppression of cellular immune rejection after treatment and the impact of re-mutation.
Comparative Analysis of Multi-armed Bandits Models for Recommendation Systems
Authors: Zhu Chenhao
Published: January 2025

With the booming development of personalized recommendation systems, numerous algorithms have been designed to bring more bliss and engagement to users. Multi-armed bandits (MAB) models have been increasingly used in this context, as they appropriately balance exploration and exploitation. This work provides an in-depth comparative study of diverse MAB algorithms like -greedy, Upper Confidence Bound (UCB1), and Thompson Sampling in the recommendation systems literature. This paper benchmark the computational efficiency, cumulative reward, and adaptability of these models by running them at interactive speeds with simulations of real-world user interactions. The results suggest that UCB1 works well in stable environments, whereas Thompson Sampling excels in volatile settings. The paper examines the attributes of these MAB algorithms through a systematic review of recent research. The paper also discusses the utility of MAB models in areas such as online advertising, streaming services, and e-commerce. Future research will likely focus on integrating deep learning approaches with MAB to further improve recommendation systems.
Node Adaptive Finite Element Method Based on Hodge Decomposition for 2D Maxwells Equation
Authors: Wang Yuqing
Published: January 2025

The ecient numerical method of Maxwells equation needs to satisfy the interface condition of electromagnetic eld, so the nite element method of the electromagnetic eld problem generally uses the edge nite element space. Compared with the traditional nodal element, the disadvantage of the edge element is that it has many degrees of freedom and the condition number of the linear system is poor. In this paper, a method based on Hodge decomposition is used to convert Maxwells equation into a standard elliptic boundary value problem, then use node element to solve the ellipse problem and then get the numerical solution of Maxwells equation. Because Hodge decomposition is used, non-physical numerical solutions are avoided in numerical solutions. This paper uses Superior Capsular Reconstruction (SCR) and Polynomial Preserving Recovery (PPR) techniques to post-process the nite element numerical solution, which eectively improves the accuracy of the numerical solution, and establishes a reliable posterior error indicator and adaptive nite element method. Finally, four examples are given to verify the eectiveness and accuracy of the method.
Mechanisms and Modeling of Sea Level Rise in the Context of Global Warming
Authors: Zhu Hengyi
Published: January 2025

Sea level rise due to global warming is an important topic in current climate change research. In this study, we explore how complex natural processes triggered by global warming drive sea level change by analyzing climate models. We focus on the main drivers of sea level rise, including ice sheet melting and ocean thermal expansion. In addition, the article discusses in detail how positive feedback mechanisms and negative feedback mechanisms work together to influence the climate change process. In order to predict the future trend of sea level rise, this article models and simulates the global temperature, glacier changes and ocean dynamics based on the General Circulation Model (GCM). Although the model has some uncertainties, especially in cloud feedback and data completeness, it still provides a valuable predictive tool for understanding future sea level changes. The conclusions of this study point to the possibility of accelerated sea level rise as global temperatures continue to rise, with wide-ranging and far-reaching impacts on coastal ecosystems and human societies around the globe.
Common Knee Injuries and Preventive Measures for Adolescent Badminton Players during Training
Authors: Wang Yaqi
Published: January 2025

In recent years, an increasing number of enthusiasts have embarked on badminton, particularly adolescents who have chosen as a career path in hopes of achieving excellent results on the court. However, due to variations in badminton coaching standards and differing instructional philosophies, many adolescent badminton players are repeatedly plagued by various injuries throughout their careers, with lower limb injuries being particularly prevalent (accounting for approximately 58% of all injuries). Among these lower limb injuries, more than half involve the ankles and knees, significantly impacting their careers. This paper focuses on common knee injuries experienced by adolescent badminton players, such as anterior cruciate ligament tears, meniscus injuries, and muscle strains. To effectively prevent these injuries, a series of scientific and systematic training recommendations are proposed. These include functional training of the muscles surrounding the knee joint, such as single-leg Romanian deadlifts and Bulgarian split squats, which help improve knee stability and thereby reduce the risk of injury. Additionally, functional training of the core deep stabilizing muscles, such as diaphragmatic breathing exercises and the Dead Bug exercise based on diaphragmatic breathing, is recommended to enhance the strength and stability of the core musculature and improve body balance, thereby lowering the incidence of knee injuries and achieving preventive effects. The aim is to provide effective preventive measures for knee injuries to adolescent badminton players, reducing their risk of injury and promoting the healthy development of the careers, provide a useful reference for scientific training and rehabilitation in badminton.
Temporal, Spatial Characteristics and Prediction of Precipitation in Guangzhou Based on the SARIMA Model
Authors: Yang Renqingyun
Published: January 2025

This article obtains nearly 18 years of precipitation data for Guangzhou from the National Centers for Environmental Information (NCEI) under the National Oceanic and Atmospheric Administration (NOAA) and conducts visualization analysis and modeling predictions using R software.Using the classic SARIMA model (the ARIMA model with seasonal components) as well as regression and residual ARIMA models to build and simulate the precipitation series.We also used Basic-bootstrap prediction, which involves resampling the residuals of the fitted model with replacement, using historical values to predict the future and obtain a model parameter, as well as Full-bootstrap prediction (which assumes that the residuals have uncertainty and that the estimated model coefficients themselves also have uncertainty).Therefore, not only are reasonable model residuals obtained through the bootstrap method, but multiple model parameters are also derived from this method to determine more reasonable model parameters, which are then used to forecast the next 12 periods for the fitted model. Comparing the results of the four prediction models, the Full-bootstrap model under the regression model showed the best predictive performance. The study found that there is no significant trend in precipitation changes over time, but short-term fluctuations still exist. Although some extreme values appeared, they remain within a predictable range.Therefore, the relevant city government departments prone to extreme rainfall can make reasonable adjustments to drainage facilities based on local precipitation forecasts
Blood Flow Restriction Training in the Rehabilitation of Hamstring Injuries
Authors: Lin Qihang
Published: January 2025

Blood flow restriction (BFR) training is a novel technique of assisted rehabilitation that has been of interest to an increasing number of scholars in recent years. BFR training shows promising applications in the rehabilitation of hamstring injuries. Currently, research indicates that low-load BFR training is a useful substitute for conventional high-load resistance training. The effectiveness of BFR training in the recovery process of hamstring injuries, however, has not received much research. This paper reviews all the recent relevant literature with the aim of exploring the current efficacy, potential mechanisms, and potential safety issues with the application of BFR training in the rehabilitation of hamstring injuries. There are still many controversial and unresolved issues in the field, such as the optimal protocol for BFR application to injured hamstrings, specific potential mechanisms, and safety considerations for BFR training. It is hoped that this paper will trigger the attention of more scholars to address these issues in future research.
A study of Poisson-type Equations with Sign Changing Parameters in Fully Asymmetric Configurations
Authors: Chen Hanwen
Published: January 2025

In this paper, we consider some Poisson-type equations arising from the study of electromagnetic wave propagation in metals and metamaterials, where sign-changing coefficients in these equations lead to challenges that fall outside standard frameworks. We apply the T-isomorphism method, expanding on the approach in [1], to analyze Poisson-type equations in fully asymmetric configurations. These configurations require a new construction of isomorphism T. Finally, we obtain the well-posedness of these problems under certain parameters
Stock Price Forecasting Using Long Short-Term Memory Networks: A Comprehensive Analysis of Financial Time-Series Data
Authors: Zhang Bofan
Published: January 2025

In this study, we employ Long Short-Term Memory (LSTM) networks to predict stock prices using historical data from Tesla Inc. spanning 10 years. The research emphasizes the importance of LSTM's capability to model complex temporal dependencies in financial time-series data, outperforming traditional statistical methods. Various feature combinations and time steps are tested, identifying a 30-day window as the optimal setup. Key evaluation metrics, including Mean Squared Error (MSE), training loss, and validation loss, are utilized to assess model performance. The results show that LSTM networks are particularly effective for short-term stock price predictions, while longer-term forecasts experience decreasing accuracy. This work contributes to the growing body of knowledge on deep learning applications in financial markets, offering practical insights for investors and financial institutions
Mechanical Modeling and Finite Element Analysis of Typical Compliant Mechanisms Based on Flexible Leaf Springs
Authors: Wang Haoyu
Published: January 2025

In recent years, compliant mechanisms have been widely applied across various fields due to their unique functionalities and superior attributes, demonstrating tremendous development potential and playing critical roles in several key areas. However, the distinct motion characteristics of compliant mechanisms necessitate the consideration of numerous factors in practical applications, making foundational theoretical formulas particularly important. The theoretical derivation of compliant mechanisms forms the essential basis for advancing their development and applications. This study focuses on several typical compliant mechanisms, deriving theoretical formulas by establishing mechanical models and conducting finite element simulations. The simulation errors, all within 1.5%, validate the accuracy of these formulas, thereby providing a theoretical foundation for the further application and development of compliant mechanisms.
Power system optimization dispatch for energy conservation and emission reduction
Authors: Qiu Siyi
Published: January 2025

This paper examines the optimization of power system dispatching with a focus on energy conservation and emission reduction. Through analyzing current situations and challenges, it aims to propose effective strategies and methods to achieve efficient power system operation while protecting the environment. The article commences by detailing China's advancements and obstacles in energy conservation and emission reduction within its power system. It addresses issues such as the variability of renewable energy sources, efficiency constraints in thermal power generation units, the intricate nature of the power grid infrastructure, and the novel challenges introduced by reforms in the electricity market. Subsequently, the paper presents four major strategies: priority dispatching of clean energy, flexible dispatching of thermal power units, power grid structure optimization, and market mechanism introduction. Research findings, when integrated with practical case studies, demonstrate that the utilization of virtual power plants and advanced dispatching systems can markedly enhance the capacity for clean energy consumption, decrease the operational duration of thermal power units and the intensity of carbon emissions, while simultaneously improving the overall efficiency of power systems. This research holds significant importance for promoting green and sustainable development in the power industry
Research on Urban Road Traffic Flow Prediction Based on Hybrid CNN-LSTM Model
Authors: Jiang Jixiao , Feofilova Anastasia
Published: January 2025

Long-term traffic flow forecasting is crucial for intelligent transportation systems and also helps in the dynamic management of traffic flow. The goal of this research is to estimate future road traffic conditions using neural network models to reduce road congestion. Reducing prediction error is the most difficult task in traffic prediction. To predict traffic flow, this paper uses traffic data from Paris, France road dataset with normalized preprocessing of time series data. In this work, a novel CNN-LSTM hybrid model is built using MATLAB to predict traffic flow. The preprocessed data is used to train the CNN model, LSTM model and hybrid CNN-LSTM model. Finally, the predicted traffic flow data is evaluated using three evaluation indicators: coefficient of determination (R2), mean absolute error (MAE) and root mean square error (RMSE). The results show that the proposed hybrid CNN-LSTM model can well capture and learn the long-term temporal characteristics of traffic flow and can predict traffic flow quickly and effectively.
Polymer-based Solid Electrolyte and Electrode/Electrolyte Interfacial Contact Characteristics Affecting Lithium-ion Battery Performance
Authors: Zhong Tianze
Published: January 2025

Lithium-ion batteries (LIBs) are now embedded in peoples daily life usage including portable electronic devices and electric vehicles. The demand for further developed LIBs with better energy storage, energy transport, safety, etc. However, the commercial and conventional LIBs use liquid electrolyte widely. Although it provides excellent ionic conductivity, its poor mechanical strength often induces the growth of dendrite, which is often considered as the primary factor that causes short circuits, undesired side reactions, and reductions in energy capacity. To address these issues, polymer-based solid-state electrolytes (SSEs) were developed. It exhibits comprehensive properties and can cooperate with other materials to resolve their defects, creating various novel materials in different scenarios. This paper covers four commonly used polymers in the fabrication of SSEs and key parameters indicating their energy density and stability. It provides a brief introduction to the reader about the characteristics of varying polymer-based electrolytes, and how these characteristics, combined with interface contact, affect the overall battery performance.
Stability Assessment and Reactive Power Compensation Strategies for Grid-Connected Wind Power Generations
Authors: Dai Zisheng
Published: January 2025

With the acceleration of global economic integration and the rapid increase in population, the reserves of mineral resources on the earth are becoming increasingly scarce, and non-renewable resources are becoming increasingly scarce. Technological advances have significantly reduced the cost of photovoltaic and wind power, improved energy storage efficiency and smart grid technology, and solved the intermittent problem of new energy. How to boost the utilization rate of new energy and ensure its secure and reliable operation during grid connection is an important challenge that the current development of electric power technology must tackle. To serve as a guide for the creation of new wind power, this article analyses the two most widely used reactive power compensation devices, studies the method of restoring the stable state through reactive power compensation after the grid-connected wind power becomes unstable, and introduces several control methods for power compensation using reactive power compensation devices. The main objective of this article is to summarize the current mainstream stability assessment methods in the world and compare their benefits and drawbacks.
Implementasi Regulatory Sandbox dalam Konteks Pengawasan Pangan Olahan di Indonesia
Authors: Handoko Yulian Dwi Anggraeni Puspa , Wibowo Andi , Arrahman Yovia Rizki , Fauziah Pepi , Yuliani
Published: January 2025

Peningkatan inovasi dalam produk pangan olahan di Indonesia dihadapkan pada tantangan regulasi yang sering membatasi kecepatan dan fleksibilitas pengembangan, terutama pada produk berisiko tinggi. Penerapan Undang-Undang Cipta Kerja baru-baru ini membawa perubahan signifikan dalam kerangka pengawasan pangan, termasuk pengecualian sanksi pidana bagi kegiatan usaha berisiko rendah hingga menengah dan transisi izin edar menjadi perizinan berusaha. Namun, peraturan ini belum sepenuhnya memberikan solusi terhadap kendala pengembangan inovasi pangan olahan. Regulatory sandbox diidentifikasi sebagai pendekatan konseptual prospektif yang potensial untuk mengatasi hambatan ini, memungkinkan lingkungan uji coba yang terkendali bagi pelaku usaha untuk mengembangkan produk inovatif dalam ekosistem yang lebih adaptif. Artikel ini mengeksplorasi potensi regulatory sandbox sebagai alat inovatif dalam pengawasan pangan olahan berisiko tinggi melalui metode kualitatif berbasis kajian pustaka. Kajian menunjukkan bahwa keberhasilan implementasi sandbox bergantung pada beberapa faktor utama: pengumpulan data eksperimental yang kuat untuk menilai keamanan dan efektivitas produk, pembentukan prosedur adaptif yang responsif terhadap masukan industri, serta pemberian otorisasi terbatas namun fleksibel untuk pengujian teknologi baru. Di samping itu, faktor-faktor lain, seperti batasan dalam durasi, ruang lingkup, dan penggunaan sandbox, juga perlu ditetapkan untuk menghindari risiko keamanan konsumen. Sebagai rekomendasi, Badan Pengawas Obat dan Makanan (BPOM) dapat mempertimbangkan regulatory sandbox sebagai kerangka kerja strategis yang mendukung pengawasan produk pangan olahan dengan pendekatan dinamis, mempercepat inovasi sambil tetap menjaga keseimbangan antara keamanan konsumen dan pertumbuhan industri.
Analisis Hasil Pengawasan Iklan Produk Pangan Olahan di Provinsi DKI Jakarta pada tahun 2021-2023
Authors: Saifudin Umar , Noviardani Tenri
Published: January 2025

Pangan merupakan salah satu kebutuhan pokok masyarakat. Salah satu hal yang mempengaruhi konsumsi produk pangan olahan yaitu iklan. Bagi pelaku usaha, iklan adalah salah satu sarana untuk memperkenalkan produknya, sedangkan bagi konsumen merupakan salah satu cara untuk mengetahui informasi terkait produk tersebut. Namun terkadang pelaku usaha melakukan promosi/iklan yang tidak sesuai dengan ketentuan. Salah satu tugas Badan Pengawas Obat dan Makanan yaitu melakukan pengawasan terhadap iklan produk pangan olahan yang beredar. Penelitian ini bertujuan untuk menganalisis hasil pengawasan iklan produk pangan olahan yang terdapat di Provinsi DKI Jakarta selama periode tahun 2021 - 2023. Data yang dianalisis berupa data sekunder yang diperoleh dari laporan hasil pengawasan iklan produk pangan olahan yang dilakukan oleh Balai Besar Pengawas Obat dan Makanan di Jakarta. Data dianalisis secara deskriptif untuk mengetahui gambaran hasil pengawasan. Hasilnya diketahui iklan produk pangan olahan yang tidak memenuhi ketentuan (TMK) sebanyak 1468 (77,7%) dari total 1890 iklan yang dievaluasi. Jenis media yang paling banyak ditemukan pelanggaran ialah pada media daring sebanyak 1424 (97%), media luar ruang 39 (2,7%) dan media cetak (leaflet) 5 (0,3%). Jenis pelanggaran tertinggi yaitu iklan dengan klaim kesehatan yang tidak sesuai ketentuan sebanyak 1110 (75,7%), iklan menyesatkan 175 (11,9%), iklan produk pangan yang tidak boleh diiklankan selain pada media kesehatan 160 (10,9%), iklan dengan kalimat superlatif 21 (1,4%) dan iklan yang melanggar norma 1 (0,1%). Pelanggaran iklan berdasarkan kategori pangan diperoleh 3 kategori tertinggi dari 16 kategori pangan yaitu produk minuman (kategori 14) sebanyak 1149 (78,3%) disusul produk susu dan analognya (kategori 1) sebanyak 66 produk (4,5%) serta produk gula dan pemanis, termasuk madu (kategori 11) sebanyak 49 produk (3,3%).
Kajian Kepatuhan Sarana Produksi Minyak Goreng Sawit di Wilayah Kerja BBPOM di Bandung dan BBPOM di Surabaya dalam Melakukan Fortifikasi Vitamin A
Authors: Utami Setyo , Andriany Dinny
Published: January 2025

Kekurangan vitamin A (KVA) merupakan masalah kesehatan masyarakat di berbagai negara, termasuk Indonesia. Salah satu strategi pemerintah yang untuk mengatasi KVA adalah dengan melakukan fortifikasi vitamin A pada bahan pangan. Minyak goreng sawit (MGS) merupakan bahan pangan yang difortifikasi dengan vitamin A.  Kebijakan fortifikasi vitamin A telah diatur dalam  SNI  7709-2019 melalui Peraturan Menteri Perindustrian Nomor 46 Tahun 2019, yang mewajibkan produsen menambahkan fortifikan vitamin A sehingga didapatkan kadar vitamin A minimal 45 IU/g terhadap MGS yang disampling. Penelitian ini bertujuan untuk melihat kepatuhan sarana produksi MGS di wilayah kerja Balai Besar Pengawas Obat dan Makanan (THE INDONESIAN FDA REGIONAL OFFICE) di Bandung dan THE INDONESIAN FDA REGIONAL OFFICE di Surabaya dalam melakukan fortifikasi Vitamin A. Penelitian ini menggunakan metode penelitian deskriptif dengan pendekatan kualitatif. Data penelitian adalah data hasil sampling dan pengujian minyak goreng sawit yang dilakukan oleh THE INDONESIAN FDA REGIONAL OFFICE di Bandung dan THE INDONESIAN FDA REGIONAL OFFICE di Surabaya sesuai dengan Pedoman Sampling dan Pengujian Obat dan Makanan dan data hasil pemeriksaan pada wilayah kerja THE INDONESIAN FDA REGIONAL OFFICE di Bandung dan THE INDONESIAN FDA REGIONAL OFFICE di Surabaya pada 2021 sampai dengan 2023. Hasil penelitian menunjukkan masih terdapat sarana produksi yang belum melakukan fortifikasi vitamin A karena kurangnya komitmen terhadap kewajiban fortifikasi dan penyediaan Vitamin A. Secara keseluruhan, selama periode 1021-2023 terdapat 31,58% sarana produksi yang tidak memenuhi ketentuan. Terdapat hubungan antara jenis sarana dan ketidakpatuhan dalam menambahkan fortifikan vitamin A pada MGS. Relaksasi regulasi karena harga MGS yang meningkat menyebabkan program fortifikasi MGS dengan vitamin A terjadi sejak tahun Januari 2022 (misalnya). Oleh karena itu konsistensi program fortifikasi vitamin A pada MGS harus dilaksanakan kembali.
Design and Implementation of a Virtual Hoisting System: A Digital Twin Approach for Early Warning and Fault Detection
Authors: Basher Md Khairul , Islam Md Tariqul , Ahmed Md Niaz , Joarder Akash
Published: January 2025

Mine hoists are vital for efficiently transporting materials and personnel between surface and underground mining operations, making their safety and reliability paramount. However, conventional monitoring approaches, which rely on distributed sensors or video surveillance, are limited in their ability to capture the global dynamics of the system, leading to suboptimal decision-making and potential safety risks. This research introduces the integration of digital twin technology into the monitoring and management of mine hoists to address these challenges. This study uses Unity-based modeling to create a virtual system capable of real-time synchronization with its physical counterpart. The digital twin simulates dynamic load changes, predicts potential faults, and optimizes operational parameters through intelligent algorithms. A robust monitoring framework was developed, consisting of a multi-layered architecture that integrates physical systems, real-time data collection, and virtual simulations. Field tests on a multi-rope friction hoist verified the system’s performance, with results demonstrating improved stability, accuracy, and predictive capabilities. A health evaluation model further enhances safety by categorizing the hoist’s operational state into health levels such as ‘healthy,’ ‘sub-healthy,’ ‘warning,’ and ‘fault.’ This model identifies critical risks, such as wire rope tension anomalies, and provides early warnings, ensuring timely interventions.
“You're Building Trust, You're Building Rapport”: Contributions from Implementers of Health-Focused Community Engagement
Authors: Tamlyn Autumn , Barnes Sarah , Na Yewon , White Hope , Spence Matthew , Linas Benjamin , Drainoni Mari-Lynn
Published: January 2025

Health-focused community engagement (CE) is a common intervention to combat existing healthcare inequity and its disproportionate impact on the health of underserved Black, Indigenous, and People of Color (BIPOC) communities. While health-focused CE may contribute to better health outcomes by establishing feelings of empowerment within the community, strengthening relationships, and increasing a community’s resiliency, the perspective of the implementers is often not considered. The current study aims to address this gap by understanding the experiences, beliefs, values, and assessments of health-focused CE staff.
We completed qualitative interviews with individuals conducting health-focused CE and documented their participation in community events to examine the experiences, beliefs, values, and assessments of conducting health-focused CE in underserved communities. Between April and October, 2022, the study team collected data from 26 community events ranging from “very small” (~5 people) to “very large” (~4,000 people), making direct contact with approximately 34 people per event. Qualitative analysis identified three themes regarding the conduct of health-focused CE: 1) mirroring racial/ethnic diversity and language with community members is critical to building trustworthy relationships; 2) while seemingly inconsequential, structural and logistical components are key for building connections that lead to positive health-behavior changes; 3) implementers are driven by and view each meaningful interaction as a piece of the puzzle to create structural change. Evaluating the conduct of health-focused CE through implementor experiences, beliefs, values, and assessments increases the understanding of intervention processes and educates the field on the needs of underserved individuals without disrupting community relationships.
Reducing maternal smoking through evidence-based interventions: Advances and emerging models in high-impact public health strategies
Authors: Alli Oluwaseyi Inumidun , Dada Samuel Ajibola
Published: January 2025

Maternal smoking remains a significant public health concern, with adverse consequences for maternal, fetal, and child health. This paper explores the health impacts of maternal smoking, including its immediate effects on pregnancy outcomes and long-term implications for child development. Evidence-based interventions, such as behavioral counseling, pharmacotherapy, and community programs, are reviewed for their effectiveness and challenges in real-world settings. Emerging models, including digital health tools, artificial intelligence-driven interventions, and integrated care approaches, are highlighted as promising innovations to address existing gaps in accessibility, personalization, and scalability. The discussion emphasizes the need for holistic, patient-centered strategies that prioritize high-risk populations and address social determinants of health. Recommendations are provided for policymakers, healthcare providers, and researchers to strengthen smoking cessation efforts and promote equitable implementation of interventions. By leveraging evidence-based strategies and innovative models, the paper underscores the potential to significantly reduce maternal smoking and improve public health outcomes.
Sustainability in reservoir management: A conceptual approach to integrating green technologies with data-driven modeling
Authors: Egbumokei Peter Ifechukwude , Dienagha Ikiomoworio Nicholas , Digitemie Wags Numoipiri , Onukwulu Ekene Cynthia , Oladipo Olusola Temidayo
Published: January 2025

Sustainability in reservoir management is critical as the energy industry grapples with balancing hydrocarbon recovery and environmental responsibility. This review explores a conceptual framework that integrates green technologies, such as carbon capture, utilization, and storage (CCUS) and renewable energy, with data-driven reservoir modeling. The framework focuses on optimizing reservoir performance while minimizing environmental impacts, providing a pathway for more sustainable hydrocarbon extraction practices. By incorporating advanced te (Abrams, 1993) chnologies like CCUS, reservoirs can serve dual purposes: enhancing oil recovery and sequestering CO2, thereby reducing carbon footprints. Additionally, renewable energy sources, such as wind and solar, can be leveraged to power operations, significantly lowering greenhouse gas emissions during extraction. Data-driven modeling, including machine learning and real-time monitoring, plays a key role in optimizing these sustainable technologies. Predictive analytics allow for more accurate forecasting of reservoir performance and environmental impacts, while adaptive models ensure that operations can dynamically adjust to new data, achieving sustainability goals without compromising resource recovery. The integration of water management technologies further enhances the framework by reducing water waste and managing the ecological footprint of reservoir activities. This review highlights the theoretical implications of this integrated approach, offering new perspectives on balancing short-term production objectives with long-term environmental sustainability. It proposes that by leveraging data-driven models in conjunction with green technologies, reservoir management can evolve towards a more sustainable, responsible practice that aligns with both economic and environmental goals. The framework presented offers valuable insights for industry leaders and policymakers, advocating for a shift in how hydrocarbon reservoirs are managed to meet future energy needs while addressing pressing climate challenges.
Factors Influencing the Purchase Decision of Smartphone Consumers Under Online Shopping: Case of Huawei as an Example
Authors: Yang Lishan , Zhan Xuegang
Published: January 2025

Online shopping is an important way for China residents to consume. The purposes of this article are to (1) explore the influence of different value factors on the perceived conditions and reputation of Huawei smartphone network consumers; (2) explore the influence of Huawei smartphone network consumers' perceived conditions and reputation on their purchase decisions; and (3) provide targeted strategic suggestions for smartphone manufacturers and consumers. We used quantitative research methods and computer statistical analysis software to analyze the data of 413 valid questionnaires. The results revealed that (1) on the issue of affecting Huawei's smartphone network consumer perception (conditional perception, word-of-mouth perception): the functional value, emotional value, cognitive value, and social value of smartphones have a significant positive impact on conditional perception and word-of-mouth perception; (2) on the issue of affecting Huawei's smartphone network consumer perception conditions and word-of-mouth perception on their purchasing decisions: conditional perception and word-of-mouth perception of smartphones have a significant positive impact on online consumer purchasing decisions; (3) on the issue of providing targeted recommendations, suggestions include manufacturers strengthening the online dissemination of smartphone value elements, rational selection of smartphones that can fully demonstrate value by online consumers, and strengthening cognitive perception and word-of-mouth perception.
Impacto del entrenamiento en plataformas vibratorias en la rehabilitación post-quirúrgica del ligamento cruzado anterior. Una revisión sistemática
Authors: Santamaría Gómez Gema , López-Llorente Álvaro , Garrosa Evelina , Fernández-Lázaro Diego
Published: January 2025

El objetivo de este estudio fue revisar la evidencia disponible sobre la efectividad del entrenamiento en plataformas de vibración de cuerpo entero (WBV) en comparación con la rehabilitación convencional en la recuperación postquirúrgica del ligamento cruzado anterior (LCA). Siguiendo las directrices “Prefered Reporting Items for Systematic Review and Meta-anlisis” (PRISMA) se realizó una búsqueda sistemática en las bases de datos PubMed, Cochrane, Scopus, Web of Science y “Physiotherapy Evidence Database” (PEDro) hasta julio de 2024. Se incluyeron todos los ensayos clínicos aleatorizados cuyo grupo intervención realizara WBV postcirugía de LCA. Se comprobó la calidad metodológica mediante la escala CASPe, PEDro y Cochrane. De los 470 registros identificados 7 cumplieron los criterios de selección.  En general, a pesar de haber una tendencia a la mejora (p>0,05) de la fuerza respecto al grupo control, no se observaron aumentos significativos. Por otro lado, se encontraron incrementos significativos (p<0,05) del equilibrio y la Escala Lysholm de funcionalidad de la rodilla respecto al grupo control. En conclusión, la terapia de WBV puede constituir una estrategia efectiva en la rehabilitación de pacientes con reconstrucción de LCA, mostrando resultados positivos en la fuerza de la musculatura de la rodilla, el equilibrio, el control postural y la Escala de Lysholm. Además, la WBV ha demostrado ser superior a la rehabilitación convencional en el aumento de la fuerza, equilibrio y la Escala de Lysholm. Sin embargo, no hay consenso sobre la efectividad de ambas terapias en el control postural y la oscilación del centro de presiones.
The Evaluation of Omnibus Law on Job Creation on Domestic Investment in Java
Authors: Martua Aleknaek , Putra Budya Pryanto , Satria Imam
Published: January 2025

To improve welfare, economic development is a complex and continuous process and investment is one of the important components. The Omnibus Law on Job Creation in 2020 (UUCK 2020) is a legislative policy and came into force in November 2020 with the aim of increasing the ease of doing business and attracting investment, thereby increasing jobs. Through the implementation of the OSS RBA system, UUCK 2020 brings major changes in business licensing governance that prioritizes legal certainty, transparency, and speed in the licensing process. The phenomenon of Java-centric is slowly developing until now has referred to various aspects including spatial, economic, social, cultural, political and other aspects. This study answers the hypothesis about the impact of the UUCK 2020 supported by the RBA OSS can increase domestic investment and also answers the evidence of the continued influence of Centric Java in increasing domestic investment caused by the regulation. This research study uses quantitative methods with difference in difference method against 34 provinces grouped in treatment and control groups. The results obtained are descriptive and empirically proven that there is a more expansive trend for the treatment group (Java island) after the UUCK 2020 policy is applied.This research study confirms the existence of investment preferences that are still focused and concentrated in Java compared to Non-Java.
Study of the Artificial Intelligence Role in Achieving Cybersecurity for Critical Information Infrastructure
Authors: Agus Kurniati
Published: January 2025

This research aims to examine the role of Artificial Intelligence (AI) in strengthening cybersecurity for critical information infrastructure (CII) in Indonesia. The research methodology used is a systematic literature review (SLR) involving identification, review, and evaluation, data collected through literature studies relevant to the research topic. Data were analyzed using critical synthesis method, gap analysis and SOAR (Strengths, Opportunities, Aspirations, Results) analysis, compared with the NIST Cybersecurity Framework to determine suitable strategic alternatives. The research results indicate that AI can strengthen cybersecurity in the CII sector by enhancing threat detection and response capabilities and optimizing risk management. The study also identified potential opportunities, such as cross-sector collaboration and the development of innovative technologies, as well as challenges, including the need to maintain transparency and ethical AI. In addition, the proposed strategy to realize AI as a tool in cyber security includes strengthening investment in technology, increasing human resource skills, and supporting development policies while taking into account potential risks that may arise, such as privacy violations, data leaks, and potential bias in decision making by AI systems. It is hoped that the results of this research will provide insight for stakeholders in efforts to strengthen cyber security in the IIV sector in Indonesia.
Readmission and unplanned healthcare use after radical cystectomy are independent of discharge destination
Authors: Sandberg Maxwell , Ye Emily , Underwood Gavin , Marie-Costa Claudia , Roebuck Emily , Catley Sean , Seoane Jorge , Deebel Nicholas , Whitman Wyatt , Wolff Dylan , Xu Mark , Namugosa Mary , Escott Megan , Ritts Rory , Tranchina Stephen , Policastro Connor , Terlecki Ryan
Published: January 2025

Introduction: Our primary purpose was studying utilization rates of home nursing assistance (HNA) and skilled nursing facility (SNF) placement after radical cystectomy (RC) and evaluating if their use was associated with emergency department (ED) visits, hospital readmissions, or mortality. Secondarily, we evaluated if patient socioeconomic status was associated with these factors following RC.
Methods: Patients who underwent RC for bladder cancer were retrospectively analyzed. Discharge destination was labeled as home, HNA, or SNF. The incidence of ED visits was recorded at 30 and 90 days after discharge from surgical admission. Readmissions were tracked similarly. Area Deprivation Index (ADI) was collected on each patient and organized in quartiles (ADIQ), with worsening socioeconomic status as ADIQ increased.
Results: A total of 215 patients were discharged home, 148 to HNA and 25 to SNF. ED visits and readmissions after RC at the 30- and 90-day marks did not differ based on discharge destination (p>0.05). Home patients had a lower incidence of death after RC compared to HNA and SNF (p=0.037), but not overall survival time (p=0.572). Readmission to the hospital after 30 days of discharge was more likely as ADIQ increased (p=0.017). Discharge destination, ED visits, and readmission after 90 days of discharge from RC was not different based on patient ADIQ (p>0.05).
Conclusions: Discharge to home after RC is associated with lower mortality rates. Rates of readmission and use of ED resources appear independent of discharge destination. A greater ADIQ may interact with likelihood of admission post-RC. Future efforts remain warranted to address disparities in postoperative management in the pursuit of health equity in urology.
EUROCÊNTRICO, MAS PROGRESSISTA: OS IMPACTOS DO POSITIVISMO NA REPÚBLICA BRASILEIRA
Authors: Pinheiro Maxmiliano Martins
Published: January 2025

Este artigo tem como objetivo principal mostrar que o positivismo, apesar de sua base eurocêntrica, propiciou perspectivas importantes para a vida social brasileira. Para atingir esta finalidade, os objetivos específicos apresentam as seguintes tarefas: indicar os traços eurocêntricos do positivismo de Comte conforme a crítica do pensamento latino, mas rechaçando a acusação do colonialismo; comparar as manifestações positivistas no México e no Brasil a fim de ressaltar a vocação social do positivismo brasileiro; e compreender como algumas prerrogativas sociais do positivismo, como o trabalhismo e a política indigenista foram fundamentais para a cidadania do país. Como metodologia, esta pesquisa tem como suporte a teoria crítica da dependência, e os estudos concernentes às ciências sociais e à história. Espera-se que essa pesquisa mostre que a influência do positivismo comtiano no Brasil foi progressista de forma acidental, já que o atraso e a atuação exploradora das nossas classes dominantes que, nos novos contextos sociais, redefinem a cultura escravocrata em seu desprezo aos trabalhadores e às populações negras e indígenas, asseverando a abissal desigualdade, encaram qualquer tipo de reformismo social como ameaça aos seus interesses.