bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conocimiento, actitudes y acciones de prevención contra el cáncer del personal de salud en Tamaulipas
Authors: Velasco Canseco Francisco Alberto , Valera Rojo Ana Alejandra , Martínez del Alto Carlos Alejandro , Mata Bugarín Emmanuel Alejandro , Martínez Padrón Hadassa Yuef 
Published: January 2024

Objetivos: Analizar el grado de conocimiento de los trabajadores de la salud sobre los factores de riesgo del cáncer, así como evaluar sus actitudes hacia la prevención y las acciones que realizan para prevenir esta enfermedad.
Materiales y Métodos: Estudio prospectivo, transversal y analítico a personal de Salud en Cd. Victoria, Tamaulipas, en el periodo comprendido de marzo a abril de 2023. Se realizó un análisis descriptivo y analítico.
Resultados: El 46.5% de los trabajadores de la salud identificó tener tres o más factores de riesgo para el cáncer. Sin embargo, solo el 27.4% pudo identificar correctamente tres factores de riesgo modificables. Además, hubo una baja adherencia a las pautas de detección, con solo el 33.6% respondiendo correctamente sobre la edad para realizar una mamografía a partir de los 40 años.
Conclusiones: Estos hallazgos respaldan la necesidad de intervenciones dirigidas a mejorar la prevención del cáncer entre los trabajadores de la salud, lo que podría tener un impacto significativo en la reducción de la carga de esta enfermedad en México.
Palabras claves: Conocimiento; Prevención; Cáncer.
Exploring key parameters influencing student performance in a blended learning environment using learning analytics
Authors: S J Shabnam Ara , R Tanuja 
Published: January 2024

Understanding the factors that influence students' results in hybrid learning environments is becoming increasingly important in today's educational environment. The goal of this research is to examine factors that influence students' academic performance as well as their level of participation in blended learning environments. A comprehensive study was conducted with 330 interested participants from the prestigious government polytechnics of the state of Karnataka in order to achieve this goal. Our data acquisition approach relied on the administration of a meticulously crafted survey questionnaire. The conceptual framework underpinning this study seamlessly integrates Transactional Distance Theory (TDT) principles with valuable insights derived from prior research. The Welch test and one-way ANOVA (Analysis of Variance) are two statistical approaches that we used selectively to reinforce our research which produced surprising results. These findings underscore the pivotal role played by certain specific factors. The geographical location of learners and the medium through which they pursue their studies have emerged as critical determinants significantly influencing academic performance. Aspects like the frequency of login activities and active engagement in forum discussions have been found to exert a positive influence on learners' academic performance. In contrast, the duration of sleep did not show a significant impact on performance. These insights bear tangible implications for teachers and policymakers who are dedicated to the enhancement of the quality of BL programs with the ultimate goal of enriching the overall educational experience.
Strategic Environmental Assessment (SEA) on The Revision of The Spatial Plan of Sorong District Year 2012-2032
Authors: Murni Murni , Madaul Rahful Ahmad , Abu Nur 
Published: January 2024

This research aims to analyze the Strategic Environmental Assessment (SEA) in the revision of the Sorong Regency Regional Spatial Planning (RTRW) for 2012-2032. This research uses a qualitative descriptive method to achieve two objectives: (a) Provide a comprehensive analysis of the phenomenon being studied, and (b) be sensitive in collecting descriptive qualitative information while maintaining the unity of the research object, which means the data in the case study is studied thoroughly. The results of the research show that (a) In the Strategic Environmental Assessment (SEA) in the 2012-2032 Revision of the Regional Spatial Plan (RTRW) of Sorong Regency, it was identified that there were 8 KRP Spatial Structure Plans and 6 Spatial Patterns that had the potential to influence environmental conditions, based on analysis of the impact of sustainable development issues on spatial planning policies; (b) The results of the analysis regarding the influence of sustainable development issues on policies, plans and programs show that of the 9 KRPs analyzed, only 3 items require a study of SEA content, while the other 6 items do not require a study of SEA content. In addition, of the 6 Spatial Patterns in the KRP, all require a study of SEA content; and (c) The purpose of the alternative formulation is to agree on improvements to the KRP based on the results of the alternative formulation, supporting follow-up steps will be formulated as a result of the implementation of the KRP.
Analisis Tingkat Emisi Gas Rumah Kaca Pada Lahan Sawah Kabupaten Sragen Tahun 2019 (Sebagai Bahan Pengayaan pada Pembelajaran Geografi SMA KD 3.6. Menganalisis Dinamika Atmosfer dan Dampaknya Terhadap Kehidupan)
Authors: Daka Muhamad Daito 
Published: January 2024

<p>Berdasarkan hasil analisa dan pembahasan yang telah dilakukan pada penelitian ini, maka dapat disimpulkan bahwa:</p><p>1) Emisi Kecamatan Sidoharjo</p><p>Kecamatan Sidoharjo memiliki total emisi CO<sub>2</sub> sebesar 26.101,12 ton/tahun yang diperoleh dari sumbangan emisi yang di konversikan kedalam CO<sub>2</sub> berupa CH<sub>4</sub> sebesar 6.153,07 ton/tahun, CO<sub>2 </sub>sebesar 661,09 ton/tahun, dan N<sub>2</sub>O sebesar 65,15 ton/tahun.</p><p>2) Emisi Kecamatan Tanon</p><p>Kecamatan Tanon memiliki total emisi sebesar CO<sub>2 </sub>sebesar 32.128,16 ton/tahun yang diperoleh dari sumbangan emisi yang di konversikan kedalam CO<sub>2</sub> berupa CH<sub>4</sub> sebesar 6.456,82 ton/tahun, CO<sub>2 </sub>sebesar 670,72 ton/tahun, dan N<sub>2</sub>O sebesar 25.000,61 ton/tahun.</p><p>3) Emisi Kecamatan Mondokan</p>Kecamatan Mondokan memiliki total emisi sebesar 3.260,54 ton/tahun yang diperoleh dari sumbangan emisi yang di konversikan kedalam CO<sub>2</sub> berupa CH<sub>4</sub>sebesar 1.110,44 ton/tahun, <p>CO<sub>2 </sub>sebesar 121,54 ton/tahun, dan N<sub>2</sub>O sebesar 2.028,55 ton/tahun.</p><p>1) Emisi Kecamatan Kalijambe</p><p>Kecamatan Kalijambe memiliki total emisi sebesar 7.177,95 ton/tahun yang diperoleh dari sumbangan emisi yang di konversikan kedalam CO<sub>2</sub> berupa CH<sub>4</sub> sebesar 3.989,60 ton/tahun, CO<sub>2 </sub>sebesar 162,81 ton/tahun, dan N<sub>2</sub>O sebesar 3.025,53 ton/tahun.</p><p>Sumbangan emisi dengan kategori tinggi yaitu Kecamatan Sidoharjo. Besar emisi yang disumbang oleh kecamatan Sidoharjo sebesar 26.101,12 ton/tahun dan Kecamatan Tanon sebesar 32.128,16 ton/tahun. Sedangkan sumbangan emisi dengan kategori rendah adalah Kecamatan Mondokan dan Kecamatan Kalijambe. Sumbangan emisi dari Kecamatan Mondokan sebesar 3.260,54 ton/tahun dan Kecamatan Kalijambe sebesar 7.177,95 ton/tahun.</p>
Analisis Potensi dan Prospek Pengembangan Objek Wisata Wana Tirta Dander Kabupaten Bojonegoro Tahun 2022
Authors: Zuraiza Karimatuz , Ahmad Ahmad , Wijayanti Pipit 
Published: January 2024

<table width="642" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="446"><pre>ABSTRAK</pre><pre>Pariwisata merupakan salah satu kegiatan yang mempengaruhi perekonomian negara. Setiap daerah di Indonesia mempunyai keanekaragaman wisata yang berbeda-beda berdasarkan karakteristik kondisi fisik, sosial, dan budaya masing-masing daerah yang berbeda-beda. Salah satunya adalah objek wisata Wana Tirta Dander yang terletak di Kecamatan Dander, Kabupaten Bojonegoro. Berdasarkan data yang dijadikan acuan, objek wisata Wana Tirta Dander tidak mengalami peningkatan kunjungan wisatawan setiap tahunnya, oleh karena itu peneliti melakukan analisis terhadap potensi dan prospek pengembangan objek wisata Wana Tirta Dander. Penelitian ini merupakan penelitian deskriptif kualitatif dengan pendekatan geografis. Penelitian ini bertujuan untuk (1) menganalisis potensi objek wisata Wana Tirta Dander Kabupaten Bojonegoro, dan (2) menganalisis prospek pengembangan objek wisata Wana Tirta Dander. Hasil penelitian ini adalah: Pertama, pengkajian potensi objek wisata yang dilakukan menunjukkan bahwa objek wisata Wana Tirta Dander mempunyai potensi sedang, dimana komponen pariwisata pendukung dan penghambat pengembangan pariwisata seimbang. Kedua, prospek pengembangan objek wisata Wana Tirta Dander yang disarankan penulis adalah dengan meningkatkan pengelolaan objek wisata, meningkatkan kualitas SDM (Sumber Daya Manusia) sebagai THL (Pekerja Harian), memanfaatkan sumber daya alam terdekat yaitu sungai, dan meningkatkan banyaknya toko oleh-oleh yang ada di objek wisata Wana Tirta Dander. </pre><pre><em><span>Kata Kunci: Daya tarik wisata, potensi wisata, Komponen 4A pariwisata, pengembangan pariwisata</span></em></pre><pre> </pre></td></tr></tbody></table>
Pengembangan Media Mobile Learning Berbasis Gamification Pada Materi Dinamika Hidrosfer Dan Dampaknya Untuk Meningkatkan Hasil Belajar Siswa Sekolah Menengah Atas (Materi Potensi, Sebaran dan Pemanfaatan Perairan Darat)
Authors: Jalasutra Pakshi , Prihadi Singgih , Tjahjono Gentur Adi 
Published: January 2024

<table width="642" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="431"><pre><em>Penelitian ini bertujuan; 1) Untuk mengetahui tingkat kebutuhan siswa terhadap media pembelajaran pada materi Potensi, Sebaran dan Pemanfaatan Perairan Tanah kelas X IPS SMA Negeri 2 Wonogiri. 2) Mengetahui kelayakan pengembangan Mobile learning berbasis Gamification pada materi Dinamika Hidrosfer dan Dampaknya Terhadap Kehidupan untuk Meningkatkan Hasil Belajar Siswa SMA 3) Mengetahui efektivitas Mobile learning berbasis Gamification pada materi Dinamika Hidrosfer dan Dampaknya terhadap Kehidupan Meningkatkan Hasil Belajar Siswa SMA Metode yang digunakan dalam penelitian ini adalah metode penelitian dan Pengembangan atau Research and Development dengan menggunakan model ADDIE Development. Tahapan model Pengembangan meliputi tahap Analisis (analisis), Desain (Desain), Pengembangan (Development), Implementasi (Implementasi), dan Evaluasi (evaluasi). Teknik pengambilan sampel dalam penelitian ini adalah purposive sampling. Teknik pengumpulan data yang digunakan adalah angket atau angket, wawancara, dokumentasi, dan tes. Teknik analisis data Parameter penilaian dalam penelitian ini adalah peningkatan kemampuan berpikir kreatif siswa dengan menggunakan pretest dan posttest. Hasil penelitian ini adalah: 1) Kebutuhan media pembelajaran siswa diperoleh dari hasil analisis kebutuhan dengan gaya belajar siswa, pengalaman menggunakan media, dan kebutuhan media permainan dalam pembelajaran. 2) Media mobile learning berbasis gamifikasi layak digunakan dengan hasil yang baik diperoleh dari penilaian validitas ahli materi dan ahli media serta uji coba kelompok kecil dan uji lapangan. 3) Media mobile learning berbasis gamifikasi efektif untuk meningkatkan kemampuan hasil belajar siswa dengan melihat rata-rata nilai pretest dan posttest.</em></pre><pre><em> </em></pre><pre><em>Kata Kunci: Pengembangan Media, Mobile learning, Gamifikasi, hasil belajar</em><em></em></pre></td></tr></tbody></table>
Eagle Syndrome: An Unusual Cause of Axial Neck Pain
Authors: Meenakshisundaram Subbiah , Bangalore Kantharajanna Shashidhar , Hawaldar Sangamesh V. , Subbaraj Rajavel 
Published: January 2024

Case:
A 42-year-old woman presented with left-sided axial neck pain with radiation behind left ear of 3 months unresponsive to conservative treatment. As clinical examination revealed tenderness anterior to the mastoid process, she was referred to an otolaryngologist. Computed tomography showed an elongated left styloid process. Diagnostic local anesthetic infiltration provided complete pain relief confirming the diagnosis of Eagle syndrome (ES) after which a transoral excision of the left styloid process was performed. She was asymptomatic till the final follow-up of 15 months.

Conclusion:
ES should be considered in differential diagnosis of axial neck pain radiating to ear, and excision of the styloid process in resistant cases provides complete pain relief.
الكشف عن اللانظيمات واحتشاء العضلة القلبية باستخدام خوارزميتي SVM و ANN
Authors: Issa Mohammad , Saad Ghada , Abdo Mohammad , Mohammad Aous 
Published: January 2024

يعد القلب من أهم الاعضاء الحيوية عند الإنسان وأي خلل في وظيفته فإنه ينعكس على الصحة العامة للمريض لذلك تمت دراسة القلب وأمراضه في العديد من الأبحاث من أجل مساعدة الطبيب في تشخيصه للأمراض القلبية وتقليل الأخطاء قدر الإمكان. يهدف هذا البحث الى تقديم طريقة لتشخيص أمراض القلب بالاعتماد على اشارات مخطط كهربائية القلبECG ، حيث تم في البداية إزالة الضجيج من الإشارة واستخلاص السمات المورفولوجية والديناميكية لإشارة ECG عن طريق خوارزمية استخلاص سمات مناسبة و تحويل (Wavelet) للمويجات، ومن ثم تم استخدام مصنف SVM لتحديد الاشارات السليمة من الاشارات المرضية يتبع ذلك تدريب شبكة عصبونية من أجل تصنيف الاشارات المرضية واستخلاص النتائج. وقد أظهر النموذج دقة تعرف على الاصناف المريضة من الاصناف السليمة بلغت 97 % من أصل 150 عينة . كما استطاع النموذج التعرف على 96 % من عدد العينات المرضية وذلك بنسبها الى 3 اصناف هي (احتشاء العضلة القلبية واللانظيمات واصناف اخرى).
Size characterisation of TiO2 nanoparticles present in the sugar coating of chewing gum (and similar confectionery products) by centrifugal liquid sedimentation
Authors: Mehn Dora , Geiss Otmar , Bianchi Ivana , Gilliland Douglas 
Published: January 2024

Abstract
Titanium dioxide (TiO2, INS No 171) is a still widely applied food colorant outside the European Union. The possible health risk related to the consumption of TiO2 is most probably also related to its particle size distribution. Centrifugal liquid sedimentation (CLS) is a fast and robust method that can be applied for high-resolution particle size distribution measurement of various nanomaterials. It was successfully applied in the characterisation of food-grade titanium dioxide extracted from sugar-coated confectionery products, such as chewing gum. This protocol summarises the details of such a disk centrifuge based analysis procedure and discusses also the limitations of the method.
Symptomatic vitreous opacity image enhancement using linear and nonlinear transformations
Authors: Zhang Siwei , Ye Hong , Rao Caihua 
Published: January 2024

Abstract

The rapid development of digital ophthalmology has put forward new demands for symptomatic vitreous opacity image processing, and symptomatic vitreous opacity image enhancement has become a key issue in the research of digital ophthalmology development. Focusing on this key issue, this paper proposes a linear and nonlinear transform-based image enhancement for symptomatic vitreous opacity. Specifically, firstly, a sharpening and white balance correction module is proposed, and the symptomatic vitreous opacity image is sharpened to compensate for the loss of details in the exposed area. Secondly, a visibility restoration module based on type II fuzzy sets is designed. We propose a symptomatic vitreous opacity image enhancement method with interpretability. As a result, the proposed method can solve the exposure and low visibility problems occurring in the symptomatic vitreous opacity image, and produce enhancement results that conform to human visual characteristics and have interpretability. Through comparative experimental analysis, the proposed method achieves superior results compared to advanced image enhancement methods.
Short-term load forecasting method based on fuzzy optimization combined model of load feature recognition
Authors: Xie Min , Lin Shengzhen , Xie Yuxing 
Published: January 2024

Abstract

With the continuous development of smart grid construction and the gradual improvement of power market operation mechanisms, the importance of power load forecasting is continually increasing. In this study, a short-term load prediction method based on the fuzzy optimization combined model of load feature recognition was designed to address the problems of weak generalization ability and poor prediction accuracy of the conventional feedforward neural network prediction model. First, the Douglas–Peucker algorithm and fuzzy optimization theory of load feature recognition was analyzed, and the combined prediction model was constructed. Second, data analysis and pre-processing were performed based on the actual historical load data of a certain area and the corresponding meteorological and calendar rule information data. Finally, a practical example was used to test and analyze the short-term load forecasting effect of the fuzzy optimization combined model. The calculation results proved that the presented fuzzy optimization combined model of load feature recognition outperformed the conventional model in terms of computational efficiency and specific performance; therefore, the proposed model supports further development of actual power load prediction.
A miniaturized tunable optical attenuator with ultrawide bandwidth based on evanescent-field coupling between nanofibers
Authors: Fan Changjiang , Zhang Yunfei , Zhang Jianbin , Guo Lijun , Li Mengwei , Xin Chenguang 
Published: January 2024

Abstract

We propose a novel miniaturized optical attenuator based on the evanescent-field coupling between two nanofibers. Benefiting from a wavelength-dependent waveguiding property of the coupled structure, a tunable attenuation with maximum extinction ratio of ∼ 20 dB is demonstrated with an ultrawide optical bandwidth up to 0.7 µm in experiment. The wavelength-depended waveguiding properties of both one single nanofiber and coupled nanofibers are investigated in both theory and simulation. Using an adiabatic coupling structure, an attenuation range from -0.16 dB to -18.46 dB is obtained within a spectrum from 1.2 µm-1.7 µm experimentally. Moreover, the simulated results indicate that, the attenuation only shows a slight change of ∼ 0.1 dB with a lateral misalignment of 0.5 µm between the two nanofibers, indicating a high tolerance of this attenuator to the lateral misalignment. Considering the wide bandwidth as well as the ultracompact structure, this attenuator shows high potential in applications such as all-fiber optical sensing and communicating.
Evaluating the efficient use of ecosystem processes for agricultural production: an empirical analysis of the implementation of a nature-based solution in intensive crop systems
Authors: Faure Jerome , Gaba Sabrina , Perrot Thomas , Bretagnolle Vincent , Mouysset Lauriane 
Published: January 2024

Abstract
Nature-based solutions (NBSs) can ensure food production while providing environmental benefits, but there is little scientific knowledge about their economically efficient use. This study fills this gap by investigating NBSs in an agricultural production model calibrated on empirical data. We propose an original framework based on the framework in Saha et al. (1997), to which we add an explicit model of ecological dynamics. We then apply this amended framework to a case study in France and combine unique ecological, agronomic, psychological, and economic data to estimate and simulate NBS efficiency. We study a form of NBS – the preservation and restoration of semi-natural habitats (SNHs) – and show that the optimal landscape coverage is 17.5%, twice the extent of the current coverage at the study site. Our study supports the rate recommended in existing ecology-based studies and goes further by introducing new productivity-based arguments. We also show that SNH efficiency conditions are shaped by risk preferences and the number of ecosystem services under consideration. The total value of SNHs is twice lower when risk preferences are not considered and four times higher when multiple ecosystem services are modeled. The study opens new avenues to include NBSs in the traditional agricultural economics frameworks and warns about the importance of choices in the modeling process.
RETRACTED: Research on Features and Localization of AE Signals from the Mechanical Body of Industrial Robots Based on Wavelet Denoising and EMD
Authors: Dong Shishang , Li Ming , Gong Shi , You Jun , EL-ATTAOUY MOHAMED , Zhang Hao , Qiao Shuai , Zhang Xin , Cheng Zian , Guo Li , Yuan Xuechao 
Published: January 2024

Abstract
The authors have requested that this preprint be removed from Research Square.
An Enhanced DV-Hop Localization Algorithm for Wireless Sensor Networks using Variable Velocity Strategy Human Conception Optimization
Authors: Panda Subrat Kumar , Acharya Debasis , Das Dushmanta Kumar , Rajagopal R Kumar 
Published: January 2024

Abstract
Wireless sensor network (WSN), is utilized in a wide range of real-world uses at the present time. WSN has the capability to detect objects, collect information, analyze that information, and then communicate it once again. The importance of optimization approaches is vital for the precise and trustworthy estimation of the position of sensor nodes. The standard Distance Vector Hop (DV-Hop) localization approach is not completely accurate enough for positioning. Nevertheless, it is distinguished by its straightforwardness, durability, practicality, and low hardware prerequisites. This article presents an Improved Distance Vector Hop (IDV-Hop) localization algorithm that utilizes Variable Velocity Strategy Human Conception Optimization (VVS-HCO) to improve positioning accuracy of a sensor node without incurring additional hardware costs. To improve the convergence and precision of the original HCO, the VVS-HCO introduces a new technique for updating velocity. The suggested method provides a parameter that may be adjusted to change the hop size of the anchor nodes. In addition, it analyzes using the traditional distance vector hop algorithm, the improved distance vector hop algorithm, the distance vector hop based Particle Swarm Optimization (PSO), the distance vector hop based Class Topper Optimization (CTO), the distance vector hop based Squirrel Search Algorithm (SSA), the distance vector hop based Social Learning Class Topper Optimization (SLCTO) and the distance vector hop based original Human Conception Optimization (HCO) algorithm. The simulation results confirm that the proposed algorithm outperforms the competing algorithms by reducing the localization error, localization error variance, and improving the localization accuracy with varying the number of anchor nodes, total number of nodes, and the communication range.