bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in surgical management of spinal metastases in a Singaporean tertiary referral center: a 17-year retrospective review
Authors: Tan Jiong Hao Jonathan , Hallinan James Thomas Patrick Decourcy , Lee Renick , Chan Yiong Huak , Tan Tuan Hao , Ang Shi Wei , Tan Le Tian Isaac , Tan Joelle Hwee Inn , Sin Qinxiang Shant , Hey Dennis Hwee Weng , Lau Leok Lim , Thambiah Joseph , Wong Hee Kit , Liu Gabriel , Kumar Naresh 
Published: November 2023

IntroductionSurgical treatment is increasingly the treatment of choice in cancer patients with epidural spinal cord compression and spinal instability. There has also been an evolution in surgical treatment with the advent of minimally invasive surgical (MIS) techniques and separation surgery. This paper aims to investigate the changes in epidemiology, surgical technique, outcomes and complications in the last 17 years in a tertiary referral center in Singapore.MethodsThis is a retrospective study of 383 patients with surgically treated spinal metastases treated between January 2005 to January 2022. Patients were divided into 3 groups, patients treated between 2005 – 2010, 2011-2016, and 2017- 2021. Demographic, oncological, surgical, patient outcome and survival data were collected. Statistical analysis with univariate analysis was performed to compare the groups.ResultsThere was an increase in surgical treatment (87 vs 105 vs 191). Lung, Breast and prostate cancer were the most common tumor types respectively. There was a significant increase in MIS(p&lt;0.001) and Separation surgery (p&lt;0.001). There was also a significant decrease in mean blood loss (1061ml vs 664 ml vs 594ml) (p&lt;0.001) and total transfusion (562ml vs 349ml vs 239ml) (p&lt;0.001). Group 3 patients were more likely to have improved or normal neurology (p=&lt;0.001) and independent ambulatory status(p=0.012). There was no significant change in overall survival.ConclusionThere has been a significant change in our surgical practice with decreased blood loss, transfusion and improved neurological and functional outcomes. Patients should be managed in a multidisciplinary manner and surgical treatment should be recommended when indicated.
Are You Ready for a Story? Kindergarten Children’s Emotional Competencies during a Story-Reading Situation Is Associated with Their Readiness for School
Authors: Sofri Inbar , Czik Amanda , Ziv Yair 
Published: November 2023

The current study aimed to explore the associations between children’s emotional reactions to stories and their school readiness skills. One hundred and fifty kindergarten children (Mage = 66.98 months; 66 boys) were interviewed to examine their emotional reactions to a story, and the children’s kindergarten teachers reported on the children’s school readiness skills: verbal abilities, approaches toward learning, and social skills. Using bibliotherapeutic terms and methods, the children’s identification with the main character in the story, their insight about the story, and their ability to connect the story to their own experiences were coded. Findings revealed associations between the children’s emotional responses to the story, specifically, the children’s identification and echoing with all three school readiness indicators (verbal abilities, behavior, and approaches toward learning). Additionally, the children’s insight into the story mediated the link between verbal abilities and approaches toward learning and between verbal abilities and hyperactivity. Practically, the current study offers a new approachable method that practitioners can use as a possible emotional tool in early education. Children’s responses to a story can provide a unique opportunity to better understand children’s perceptions of different narratives and socio-emotional situations, which can direct educators in their work. Empirically, the current study can guide further research and training on utilizing stories to understand children’s readiness for school.
The Ginkgo biloba L. in China: Current Distribution and Possible Future Habitat
Authors: Zhang Ying , Zhang Jinbing , Tian Li , Huang Yaohui , Shao Changliang 
Published: November 2023

With the increase in global temperature, the global change situation dominated by climate warming is becoming more and more serious. Climate change will cause differences in the suitable areas of species in different periods. Ginkgo biloba L., a rare and endangered wild plant protected at the national level in China, is the oldest relict plant in the world. Because of severe climate change, only China’s wild Ginkgo biloba has been preserved, yet China’s wild Ginkgo biloba population is facing extinction risk. Ginkgo biloba has rich ornamental value, application value, economic value, medicinal value and ecological value. Not only can it produce economic and ecological benefits, but it can also produce huge social benefits. Based on the data of Ginkgo biloba sample distribution, bioclimatic variables and soil variables, this paper uses the MaxEnt model to simulate Ginkgo biloba suitable area under current and future different climate scenarios, and analyzes the changes in the potential suitable area of Ginkgo biloba in the future through ArcGIS 10.6. The results are as follows: (1) the results simulated by the MaxEnt model are AUC > 0.9, showing that the simulation results have a high accuracy; (2) the min temperature of the coldest month, precipitation of the wettest month, elevation, and temperature seasonality are the main environmental variables affecting the change in the Ginkgo biloba suitable area; (3) under future climate scenarios, the suitable area of Ginkgo biloba is predicted to expand in the future, covering most of the south and some northeast regions, and moderate temperature and precipitation changes under climate change are conducive for the growth of Ginkgo biloba; and (4) in the future, the distribution center of the suitable area will move to the northeast. According to the conclusions in this paper, it is expected to provide theoretical reference for cultivation and management, sustainable utilization and solution of ecological environment problems of Ginkgo biloba.
Insights into the Mechanisms of Reuterin against Staphylococcus aureus Based on Membrane Damage and Untargeted Metabolomics
Authors: Sun Mao-Cheng , Li Dian-Dian , Chen Yu-Xin , Fan Xiu-Juan , Gao Yu , Ye Haiqing , Zhang Tiehua , Zhao Changhui 
Published: November 2023

Reuterin is a dynamic small-molecule complex produced through glycerol fermentation by Limosilactobacillus reuteri and has potential as a food biopreservative. Despite its broad-spectrum antimicrobial activity, the underlying mechanism of action of reuterin is still elusive. The present paper aimed to explore the antibacterial mechanism of reuterin and its effects on membrane damage and the intracellular metabolome of S. aureus. Our results showed that reuterin has a minimum inhibitory concentration of 18.25 mM against S. aureus, based on the 3-hydroxypropionaldehyde level. Key indicators such as extracellular electrical conductivity, membrane potential and permeability were significantly increased, while intracellular pH, ATP and DNA were markedly decreased, implying that reuterin causes a disruption to the structure of the cell membrane. The morphological damage to the cells was confirmed by scanning electron microscopy. Subsequent metabolomic analysis identified significant alterations in metabolites primarily involved in lipid, amino acid, carbohydrate metabolism and phosphotransferase system, which is crucial for cell membrane regulation and energy supply. Consequently, these findings indicated that the antibacterial mechanism of reuterin initially targets lipid and amino acid metabolism, leading to cell membrane damage, which subsequently results in energy metabolism disorder and, ultimately, cell death. This paper offers innovative perspectives on the antibacterial mechanism of reuterin, contributing to its potential application as a food preservative.
General practice service use at the end-of-life before and during the COVID-19 pandemic: a population-based cohort study using primary care electronic health records
Authors: Chukwusa Emeka , Barclay Stephen , Gulliford Martin , Harding Richard , Higginson Irene , Verne Julia 
Published: November 2023

BackgroundGlobally, the COVID-19 pandemic has caused unprecedented strain in healthcare systems, but little is known about how it affected patients requiring palliative and end-of-life care from GPs.AimTo evaluate the impact of the pandemic on primary care service use in the last 3 months of life, including consultations and prescribing, and to identify associated factors.Design and settingA retrospective cohort study in UK, using data from the Clinical Practice Research Datalink.MethodThe study cohort included those who died between 2019 and 2020. Poisson regression models using generalised estimation equations were used to examine the association between primary care use and patient characteristics. Adjusted rate ratios (aRRs) and 95% confidence intervals (95% CIs) were estimated.ResultsA total of 44 534 patients died during the study period. The pandemic period was associated with an 8.9% increase in the rate of consultations from 966.4 to 1052.9 per 1000 person-months, and 14.3% longer telephone consultation duration (from 10.1 to 11.5 minutes), with a switch from face-to-face to telephone or video consultations. The prescription of end-of-life care medications increased by 6.3%, from 1313.7 to 1396.3 per 1000 person-months. The adjusted rate ratios for consultations (aRR = 1.08, 95% CI = 1.06 to 1.10,P<0.001) and prescriptions (aRR 1.05: 95% CI = 1.03 to 1.07,P<0.001) also increased during the pandemic.ConclusionThe pandemic had a major impact on GP service use, leading to longer consultations, shifts from face-to-face to telephone or video consultations, and increased prescriptions. GP workload-related issues must be addressed urgently to ease the pressure on GPs.
Do território ao ciberespaço: uma busca do capital simbólico do indígena Misak
Authors: Concha Jennifer Paola Pisso , Leite Mário Cezar Silva 
Published: November 2023

Neste artigo discute-se como as representações sobre o capital simbólico da comunidade indígena Misak de Guambía, Cauca, Colômbia, transcende o seu território, na cultura digital (cibercultura). Já se afirmou que esse trânsito se dá sob a perspectiva de olhares não indígenas (produtores culturais). Nesse sentido, o trabalho tem como objetivo analisar a cultura indígena contemporânea Misak, ela mesma, quando se depara com o ciberespaço e as novas tecnologias. Os objetos de análise são textos digitais, produções audiovisuais, fotografias, blogs, mídias digitais, redes sociais, projetos comunitários indígenas desde as TICs e/ou comunicação, permitindo observar quais são os desdobramentos da elaboração do campo simbólico dos Misak, interligados em uma realidade física/virtual. A metodologia é de abordagem qualitativa, netnográfica e a construção teórico-metodológica é semiodiscursivo. Portanto, analisar os imaginários, rasgos identitários, elaborações de si e sua cultura do povo guambiano contemporâneo, no ciberambiente, pode permitir uma visão mais aproximada da percepção desses povos no âmbito da diversidade cultural.
Chance-Constrained Rollover-Free Manipulation Planning with Uncertain Payload Mass
Authors: Song Jiazhi , Petraki Antoine , DeHart Brandon , Sharf Inna 
Published: November 2023

<p>This paper presents a chance-constrained rollover-free manipulation planning method for robotic arms under payload mass uncertainty. The corresponding motion planning problem is stated as a chance-constrained nonlinear optimal control problem (NOCP) subject to kinematics and rollover stability constraints. The latter takes the form of a chance constraint that ensures a certain probability of the robot maintaining dynamic rollover stability in the presence of payload mass uncertainty. To achieve efficient solutions to the NOCP, a novel geometric bound for the stability region is derived. The novel bound is then utilized to modify the rollover-stability constraint. To showcase its benefit, comparisons between the proposed bound of probabilistic rollover stability measure and the naive noise model are provided through statistical analysis. The formulation's practicality is demonstrated through experiments with a Kinova Jaco 2 arm mounted on a free-to-roll platform. Results demonstrate greater robustness of the robot's motion plan to mass uncertainty and computational efficiency of the trajectory generation. </p>
A NEW MOBILE RF DRIVE TEST APPLICATION
Authors: Samani Siewe Darix 
Published: November 2023

<p>To enhance the quality of service (QoS) provided to users, network operators are compelled to continually refine their network infrastructure through the iterative process of drive testing. Drive testing is a method used to measure and assess the coverage, capacity, and QoS in a mobile radio network. However, the conventional paradigm governing drive testing, which entails the deployment of either radio frequency equipment or software solutions such as TEMS Investigation accompanied by GPS and an MS (Mobile Station), is marred by inherent limitations that hinder precision in data collection spatiality and necessitate a cumbersome use of multiple tools. In our work, we embark on a novel trajectory, anchoring our non-invasive drive test methodology on the potency of a wearable device such as smart phones. Inspired by this, we design an Android-based drive test platform that stands as a fulcrum of innovation. This platform consists primarily of a mobile application that acts as a measuring instrument, and an API to relay the data collected by the mobile application. This Android-based approach provides operators with heightened precision in both location determination and parameter measurements. Moreover, it streamlines service provisioning, eliminating the need for a range of complex tools, and instead offering a simple application-based solution. By adopting our mobile application, the drive testing process becomes adaptable to a variety of scenarios, including roads with high traffic density or narrow pathways. Our methodology signifies a significant step forward in improving resources-efficient drive testing process for operators.</p>
Pars-HaO: Hate and Offensive Language Detection on Persian Tweets Using Machine Learning and Deep Learning
Authors: Karami Sheykhlan Mohammad , Abdoljabbar Saleh Kheiri 
Published: November 2023

<p>As social networks continue to gain widespread popularity, an urgent requirement arises to automatically identify and detect offensive language and hate speech. While there is a wealth of research and datasets available for English in this domain, there is currently a scarcity of research and datasets focused on identifying hate speech and offensive language in Persian text. This article introduces a 3-class dataset named Pars-HaO, consisting of 8013 tweets, to fill the gap in existing research. We collected the dataset by combining comments from pages that are more exposed to hate speech and using a keyword-based approach. Three annotators then labeled the tweets. In this study, we employed a combination of the Convolutional Neural Network (CNN) model and four widely recognized machine learning models, namely Support Vector Machine (SVM) and Logistic Regression (LR), Random Forest (RF), and Decision Tree (DT) as a baseline. Then, we compared the base models with Long Short-Term Memory(LSTM), Bidirectional LSTM (BiLSTM), and CNN models, each trained using the output of the last hidden state of Bidirectional Encoder Representations from Transformers (BERT). Experimental results on the Pars HaO dataset demonstrated that the BERT with BiLSTM technique yielded the best outcome, achieving a macro F1-score of 70%. <br>
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Robot Evolution for Autonomous Behavior in Dynamic Environments
Authors: Zaman Budee U 
Published: November 2023

<p> This paper introduces a novel robot parallel evolution design algorithm , leveraging the concept of a module network, to optimize the learning process of collision avoidance, approach, and wall switching behaviors in evolutionary robots. The proposed algorithm is validated and tested, demonstrating its efficacy in enabling evolutionary robots to autonomously exhibit behaviors such as collision avoidance, movement, repli-cation, and attack. The learning methodology focuses on refining the neural network-based strategies for collision avoidance, approach, and wall switching behaviors. The evolutionary robots, operating in a simulated environment, show-case the ability to adapt and enhance their performance over time. The simulation environment includes randomly generated rectangular obstacles with varying side lengths, strategically placed to represent real-world challenges. Additionally, the environment features randomly scattered approach targets, serving as goals for the robots. The modular design of the neural network allows for the integration of fundamental behaviors such as collision avoidance and approach, enabling a progressive enhancement of the robot's capabilities. As the neural network evolves, the robots demonstrate an increasingly sophisticated ability to navigate their surroundings, avoid obstacles, approach targets, and adapt to dynamic scenarios. Through extensive simulations, the proposed algorithm proves effective in training evolutionary robots to navigate complex environments autonomously. The study contributes to the field of evolutionary robotics by presenting a modular neural network approach that enables the gradual acquisition and integration of diverse behaviors, showcasing the potential for autonomous and adaptive robotic systems in dynamic and challenging environments. </p>
MENINGKATKAN BERFIKIR KRITIS SISWA DENGAN MODEL KOOPERATIF LEARNING MATA PELAJARAN AL-QUR'AN DAN HADITS KELAS X MAN 1 LAMPUNG TIMUR
Authors: Zakaria Aziz , Q Ikhwan Aziz , Hayati Rina Mida 
Published: November 2023

Berpikir Kritis adalah proses memfokuskan dan mengamati pertanyaan atau masalah, menilai dan memahami situasi masalah, menganalisis masalah, membuat dan mengevaluasi keputusan atau solusi dan menghasilkan suatu tindakan. Perlu adanya model pembelajaran yang diatur sedemikian rupa sehingga akan diperoleh dampak pembelajaran secara langsung kearah perubahan tingkah laku sebagaimana dirumuskan dalam tujuan pembelajaran. Model kooperatif Learning adalah model pembelajaran yang melibatkan siswa dengan membentuk kelompok-kelompok kecil yang saling membantu dan bekerja sama secara interaktif, yang berarti bahwa guru tidak lagi bertindak sebagai satu-satunya narasumber dalam Pelaksanaan Kegiatan Belajar Mengajar (PKBM), tetapi siswa juga berpartisipasi aktif dalam mencapai tujuan pembelajaran. Dengan teknik pengumpulan data melalui observasi, wawancara dan dokumentasi, hasil penelitian ini menunjukkan bahwa penerapan model pembelajaran kooperatif dapat meningkatkan berfikir kritis siswa. Keberhasilan ini dapat dilihat dari siswa yang lebih berani dalam mengajukan pertanyaan kepada guru dan siswa lebih antusias dalam menjawab ketika guru mengajukan pertanyaan saat diskusi kelas berlangsung. Kata Kunci: Berpikir Kritis, Model Pembelajaran, Kooperatif Learning
PENERAPAN METODE TIKRAR DALAM MENGHAFAL AL-QUR’AN DI RUMAH QUR’AM DZURRIYATULHUFFAZH DESA HAJIMENA KABUPATEN LAMPUNG SELATAN
Authors: Pradana Herdani Ahmad , Luviadi Ahmad , Machsun Muhammad 
Published: November 2023

ABSTRACTThis research discusses the Tikrar Method, which is one of the methods used to memorize the Qur'an which is widely applied in various Qur'anic educational institutions in Indonesia. This method is used by repeating the verses that want to be memorized and those that have been memorized, so that by using this method the memorization becomes stronger and does not forget easily.Therefore, this thesis discusses the application of the Tikrar method in memorizing the Qur'an at the Dzurriyatul Huffazh Hajimena Qur'an House in South Lampung Regency. This study aims to determine how the implementation of the Tikrar method in the institution and how the learning stages of the Tikrar method.This research uses descriptive qualitative research with a field approach. In this study the techniques used in data collection are using observation, interview, and documentation techniques. The subjects of research are the Head of the Foundation, tahfizh Supervising Teacher and Santri.Based on the results of the researcher's observations, it can be concluded that the tikrar method is very effective in memorizing the Qur'an, with this method the achievement of memorization targets can be achieved with good memorization quality. This method is very typical by repeating verses so that they can memorize without memorizing aloud. Keywords: Method, Tikrar, RQ-Duha.
Perancangan Motion Graphic tentang Pentingnya Menikah di Usia Ideal oleh IPPNU Jawa Barat untuk Remaja Usia 13-18 Tahun di Kabupaten Bandung
Authors: Rizkiani Meti Agni , Nurfajriyah Saidah , Putri Citra Kemala 
Published: November 2023

Kabupaten Bandung menduduki peringkat tertinggi di Jawa Barat selama 3 tahun berturut-turut. Sekitar 500 anak diketahui menikah dini pada 2019, meningkat menjadi 669 pada 2020, dan pada Juli 2021, jumlah pernikahan di Kabupaten Bandung mencapai 679 kasus. Data dispensasi nikah menunjukan bahwa pengadilan agama Soreang telah menerima 419 perkara dispensasi nikah, dimana 90% disetujui, dan sebagian kecil ditolak. Selain itu, dampak dari pernikahan dini antara lain kurangnya kesadaran orang tua, kurangnya pemahaman tentang faktor reproduksi dan ekonomi, serta tekanan lingkungan yang menyebabkan pergaulan bebas. Melalui program tentang pentingnya menikah di usia ideal, IPPNU Jawa Barat membutuhkan media edukasi dan informasi yang lebih efektif, terutama untuk sosialisasi anak muda di sekolah, khususnya media sosial seperti Instagram. Metode penelitian ini menggunakan metode kualitatif dengan pengumpulan data melalui wawancara, observasi dan penyebaran kuisioner. Perancangan video motion graphic ini melalui 3 tahapan produksi, yaitu pra produksi, produksi dan pasca produksi. Melalui tahapan pembuatan storyline, storyboard, pembuatan karakter, animating, hingga rendering. Hasil dari perancangan ini berupa video motion graphic mengenai pentingnya menikah di usia ideal yang akan digunakan sebagai media edukasi oleh IPPNU Jawa Barat melalui platform Instagram.