bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGEMBANGAN APLIKASI BELAJAR MATEMATIKA KONTEKSTUAL BERBASIS ANDROID DENGAN METODE WATERFALL
Authors: Maulidyawati Desi , Widiarta I Made , Aqmalia Afridha Nia
Published: December 2024

Perkembangan teknologi informasi mendorong guru dan praktisi pendidikan untuk melakukan penyesuaian cara dan metode belajar siswa. Siswa yang notabene mahluk sosial, tentunya ikut merasakan dampak dari perkembangan teknologi tersebut. Salah satunya adalah gadget. Tidak jarang siswa lalai dengan tugasnya sebagai seorang pelajar dikarenakan keasyikan bermain gadget. Oleh sebab itu, perlu sekiranya siswa difasilitasi agar dapat belajar dengan cara yang menyenangkan selayaknya sedang bermain gadget. Aplikasi belajar matematika kontesktual berbasis android ini dirancang dengan menggunakan metode waterfall, yang terdiri dari beberapa materi matematika diantaranya: perkalian, pembagian, pecahan, persegi, persegi panjang dan perbandingan. Aktivitas yang ada pada aplikasi, didesain untuk menuntun siswa menemukan (guided discovery) konsep matematika. Tujuannya memberikan pengalaman belajar yang bermakna serta pengalaman dalam menyelesaikan soal-soal non rutin (kontekstual)Aplikasi ini telah diuji kepada 43 user diantaranya siswa dan guru. Dari hasil wawancara, diketahui bahwa aplikasi dapat menjadi salah satu alternatif yang dapat digunakan oleh siswa untuk belajar konsep matematika. Tampilan yang menarik dan konstekstual memberikan respon positif oleh user terkait aplikasi yang telah dikembangkan.
İki Kere Farklı ve Tipik Gelişim Gösteren Öğrencilerin Akademik Motivasyon Düzeyleri ile Okul Kavramına Yönelik Algıları
Authors: Bacakoğlu Yaşam Gözde , Yıldız Demirtaş Vesile
Published: December 2024

Bu araştırmanın amacı, iki kere farklı gelişim gösteren öğrencilerin akademik motivasyon düzeyleri ile okul kavramına yönelik algılarını belirlemektir. Araştırmanın çalışma grubunu, iki kere farklı 36 öğrenci ile tipik gelişim gösteren 160 öğrenci olmak üzere toplam 196 öğrenci oluşturmuştur. Bu araştırmada hem nicel hem de nitel araştırma desenlerinin birlikte kullanıldığı karma yöntem tercih edilmiştir. Veri toplama aracı olarak, nicel verilerin toplanmasında “Akademik Motivasyon Ölçeği”, nitel verilerin toplanmasında ise “Çizme-Yazma Tekniği” ve “Yarı Yapılandırılmış Görüşme” formu ile demografik bilgi formu kullanılmıştır. Araştırmanın sonucunda, iki kere farklı olan öğrencilerin tipik gelişim gösteren öğrencilere göre akademik motivasyon düzeylerinin daha düşük olduğu sonucuna ulaşılmıştır. İki kere farklı öğrencilerin okul kavramına yönelik algılarının çoğunluğunun olumsuz, tipik gelişim gösteren öğrencilerin ise olumlu olduğu çizimlerinde tespit edilmiştir. Araştırmada öğrencilerin okul algısına yönelik görüşleri incelendiğinde, çizimleri destekleyen görüşler sundukları görülmüştür.
ADVANCED SKIN CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS AND TRANSFER LEARNING
Authors: Aslan Emrah , Özüpak Yıldırım
Published: December 2024

This study investigates the effectiveness of MobileNetV2 transfer learning method and a deep learning based Convolutional Neural Network (CNN) model in the categorization of malignant and benign skin lesions in skin cancer diagnosis. Since skin cancer is a disease that can be cured with early detection but can be fatal if delayed, accurate diagnosis is of great importance. The model was trained with MobileNetV2 architecture and performed the classification task with high accuracy on images of skin lesions. Metrics such as accuracy, recall, precision and F1 score obtained during the training and validation processes support the high performance of the model. The accuracy of the model was 92.97%, Recall 92.71%, Precision 94.70% and F1 score 93.47%. The results show that the CNN-based MobileNetV2 model is a reliable and effective tool for skin cancer diagnosis, but small fluctuations in the validation phase require further data and hyperparameter optimization to further improve the generalization ability of the model. This study demonstrates that CNN-based models enhanced with MobileNetV2 transfer learning offer a powerful solution to medical image classification problems and have the potential to contribute to the development of early detection systems in the healthcare field.
Evaluating Nasal Aesthetical Outcomes of Closed Rhinoplasty in Primary Cleft Lip Repair
Authors: Wahyudi Angelique Nathania , Putri Indri Lakhsmi , Falerina Rosa , Handriani Ira
Published: December 2024

Cleft lip and cleft palate are among the most common congenital facial abnormalities affecting the orofacial region, with an incidence of 1 in 600/800 live births. In Indonesia, the incidence of cleft lip and palate is about 1 in every 1000 births. Cleft lip and cleft palate could occur isolated or together in various combinations and often lead to nasal asymmetry. The management of such deformities often requires a multidisciplinary approach, requiring numerous interventions, which include primary rhinoplasty. There are multiple types of rhinoplasties including open-type, semi-open type, and closed-type rhinoplasty. This article aims to review the nasal aesthetical outcomes of patients who have undergone closed rhinoplasty in primary cleft lip and palate repair. By analyzing various articles, we seek to determine the efficacy of closed rhinoplasty in primary cleft lip repair on the nasal aesthetics of the patients when compared to other procedures. Among the types of rhinoplasty, closed rhinoplasty is still a viable option. Although there was no significant difference between the cosmetic results of open-type rhinoplasties when compared to closed rhinoplasties, patients may prefer closed rhinoplasty as it is minimally invasive and provides less scarring. Overall, further research is required to determine the gold standard practice and ensure the optimal strategical approach to achieve the best outcomes.
Metformin and Insulin: An Effective Therapeutic Combination for Overweight and Obese Type 1 Diabetes Patients?
Authors: Ghafar Adrian Azka , Rochmanti Maftuchah , Novida Hermina , Natsir Ahmad Ikhwanuddin
Published: December 2024

Type 1 Diabetes (T1D) is a chronic autoimmune disease characterized by insulin deficiency due to the destruction of pancreatic beta cells. Patients with T1D who are overweight or obese face additional challenges in management due to insulin resistance, making their condition more complex to treat. This systematic review evaluates the efficacy of adding metformin to insulin monotherapy in improving glycemic control and body mass index (BMI). This study retrieved data from databases including PubMed, ScienceDirect, Scopus, and ProQuest, adhering to PRISMA guidelines. After screening 402 studies, 4 randomized controlled trials met the inclusion criteria. These trials compared the impact of metformin with placebo or insulin monotherapy on HbA1c, fasting plasma glucose (FPG), and BMI. The results showed that metformin adjunct therapy provided limited impact on HbA1c and FPG levels while demonstrating significant improvements in BMI. In conclusion, adding metformin to insulin therapy can aid in improving BMI in overweight or obese T1D patients, though its effects on glycemic control remain inconclusive. Further high-quality studies are recommended to validate these findings.
Risk Factors of Ischemic Stroke: A Literature Review
Authors: Hanan Ismail , Ardhi Mohammad Saiful , Prajitno Jongky Hendro , Setyowatie Sita
Published: December 2024

A stroke or a cerebrovascular accident can be defined into 2 major types, ischemic and hemorrhagic. Ischemic stroke is the more prevalent type of stroke. Identifying and understanding the risk factors of ischemic stroke is imperative. Nonmodifiable risk factors include age, sex, and previous stroke history. Nonmodifiable risk factors play a role in worsening pre-existing modifiable risk factors, the absence or presence of endogenous estrogen, and endothelial dysfunction. Modifiable risk factors include hypertension, diabetes mellitus, dyslipidemia, and smoking. Modifiable risk factors increase the risk of a stroke by endothelial dysfunction, emboli and/or thrombus formation, chronic inflammation, and atherosclerosis. This study will give a more in-depth view of how these risk factors influence the possibility of ischemic stroke.
Neuroendocrine Biomarkers
Authors: Hasiana Ester Melati , Sandhika Willy
Published: December 2024

Neuroendocrine cells are unique because they are found in almost every organ in the body. These cells often resemble other cell types, making it challenging to differentiate them based on histological imaging. In the case of neuroendocrine tumors, which can also occur in nearly all organs, neuroendocrine biomarkers are commonly utilized for diagnosis. Neuroendocrine biomarkers are classified into two categories, serum biomarkers and tissue biomarkers. The most commonly used neuroendocrine biomarkers in clinical practice are Synaptophysin, Chromogranin A, and CD56. These biomarkers are typically assessed in neuroendocrine tissue through immunohistochemistry testing, often used in combination to enhance diagnostic accuracy. Other tissue-detectable biomarkers include INSM1, S100, and Inhibin. Additionally, certain biomarkers, such as Neuron-Specific Enolase (NSE) and Serotonin, are predominantly utilized for diagnosing neuroendocrine tumors through serum analysis. This literature review aims to explore neuroendocrine biomarkers detected in serum and tissue, emphasizing their role in diagnosing neuroendocrine tumors.
Rising Trends: Literature Review of Rib Cartilage Grafting Overview in Rhinoplasty
Authors: Callista Athalia Naura , Nata’atmadja Beta Subakti , Bagus Auryn Valda Maydina
Published: December 2024

Rhinoplasty, commonly known as ‘nose job’ is one of the most common facial plastic surgeries. It is a highly versatile procedure to enhance nasal aesthetics, improve functionality, or both. Nowadays, various techniques for reforming the nose structure depend on each patient’s condition and preference. Autogenous graft, which site is from the patient itself, is now commonly used. Rib cartilage is an increasingly popular autogenous graft material due to its plenty of supply and strength. This study aims to provide a comprehensive overview of rib cartilage grafting in rhinoplasty, covering critical aspects such as pre-procedure evaluation, surgical techniques, postoperative care, and potential complications.
Strabismus and Binocular Vision: A Comprehensive Review of Pathophysiology, Risk Factors, Classification, Diagnostic, and Treatment
Authors: Noer Muhammad Hazel Giffari , Prastyani Reni , Fahmi Achmad , Loebis Rozalina
Published: December 2024

Strabismus is an ocular condition characterized by misalignment of the eyes, which disrupts binocular vision and affects 2-4% of the global population, with a higher prevalence in children. This review examines the definition, classification, pathophysiology, evaluation, and management of strabismus, a condition that manifests as esotropia, exotropia, hypertropia, or hypotropia. Key risk factors include congenital abnormalities, neurological disorders, and delayed diagnosis, all of which influence disease progression and outcomes. The disorder arises from dysfunction in the extraocular muscles or their innervation, impairing coordinated ocular movements. This misalignment disrupts binocular vision development, often leading to amblyopia a condition where the brain suppresses visual input from the misaligned eye. Diagnostic tools, such as the Titmus Stereofly and TNO tests, quantitatively evaluate binocular function, while clinical tests like the Worth Four-Dot assess fusion anomalies and alignment discrepancies. Management strategies encompass non- surgical and surgical approaches. Non-surgical methods, including corrective lenses and vision therapy, aim to restore alignment and enhance fusional capacity, particularly in accommodative cases. Surgical interventions, such as muscle recession or resection, are employed for moderate to severe cases and have shown significant improvements in binocular vision and stereopsis. However, treatment outcomes may vary depending on the age of onset, duration of misalignment, and deviation severity. Timely diagnosis and individualized treatment are essential for restoring functional binocular vision and minimizing complications. Further research is necessary to optimize therapeutic approaches and elucidate the interplay of risk factors in influencing treatment efficacy and patient outcomes.
The Administration of Omega-3 Therapy on C-Reactive Protein Levels, Neutrophil-To-Lymphocyte Ratio, Malondialdehyde, and Glasgow Outcome Scale Extended Scores in Patients with Moderate to Severe Head Injuries at Prof. Dr. I.G.N.G. Ngoerah General Hospital Denpasar
Authors: Kencana I Gusti Ketut Agung Surya , Sutikno Joshua , Niryana I Wayan , Mahadewa Tjokorda Gde Bagus
Published: December 2024

Head injury is one of the most common causes of death worldwide and also the most frequent cause of lifelong disability. Mechanically, several factors contribute to secondary injury, including neuroinflammation, excitotoxicity, mitochondrial dysfunction, oxidative stress, lipid peroxidation, axonal degeneration, and apoptotic cell death. The fundamental principle in managing head injury is to create an optimal environment for the injured brain tissue to recover and regain normal function. Omega-3, as an adjunct therapy for head injury patients, has anti-inflammatory effects and is effective as a strong anti-inflammatory factor. This study compares the administration of omega 3 as an adjunct therapy and standard therapy in terms of CRP, NLR, MDA levels, and GOS-E scores in patients with moderate and severe head injuries. Sample selection used a consecutive sampling technique, followed by simple randomization. In this study, normality testing was conducted using the Shapiro-Wilk test and median differences were analyzed using the Mann-Whitney test. The results show that omega-3 administration resulted in lower CRP (p < 0.001), NLR (p 0.015), and MDA (p 0.001) levels in patients with moderate to severe head injuries, but provided the same GOS-E scores as the control group (p 0.717).
An introduction to reinforcement learning for neuroscience
Authors: Jensen Kristopher T.
Published: December 2024

Reinforcement learning has a rich history in neuroscience, from early work on dopamine as a reward prediction error signal for temporal difference learning (Schultz et al., 1997) to recent work suggesting that dopamine could implement a form of ‘distributional reinforcement learning’ popularized in deep learning (Dabney et al., 2020). Throughout this literature, there has been a tight link between theoretical advances in reinforcement learning and neuroscientific experiments and findings. As a result, the theories describing our experimental data have become increasingly complex and difficult to navigate. In this review, we cover the basic theory underlying classical work in reinforcement learning and build up to an introductory overview of methods in modern deep reinforcement learning that have found applications in systems neuroscience. We start with an overview of the reinforcement learning problem and classical temporal difference algorithms, followed by a discussion of ‘model-free’ and ‘model-based’ reinforcement learning together with methods such as DYNA and successor representations that fall in between these two extremes. Throughout these sections, we highlight the close parallels between such machine learning methods and related work in both experimental and theoretical neuroscience. We then provide an introduction to deep reinforcement learning with examples of how these methods have been used to model different learning phenomena in systems neuroscience, such as meta-reinforcement learning (Wang et al., 2018) and distributional reinforcement learning (Dabney et al., 2020). Code that implements the methods discussed in this work and generates the figures is also provided.
Implementing effective sociocultural integration strategies to decrease university student dropout rates
Authors: Asenjo Muro Evelin Dianela , Cernaqué Miranda Ofelia Carol , Ventura Lucana Franz Robinson , Quispe Curo Wilder , Puican Rodriguez Victor Hugo
Published: December 2024

This article analyzes the determinants of student dropout in an intercultural university in Peru during the period 2018-2023. Using a quantitative approach and a non-experimental design, binary logistic regression was applied to test the hypotheses. The results show that sociocultural factors have a significant impact on dropout, increasing the probability of dropout when sociocultural difficulties increase. Likewise, personality factors are also relevant, indicating that students with greater personality difficulties could receive additional support or have effective coping mechanisms, slightly reducing the probability of dropping out. In contrast, socioeconomic and academic factors did not show a significant relationship with student dropout. The Hosmer-Lemeshow test and Nagelkerke's R-squared suggest a good fit of the model, explaining a considerable part of the variability in attrition. It is recommended that universities develop support strategies focused on socio-cultural integration and personal development of students, in addition to continuing to investigate other educational contexts to evaluate the influence of socioeconomic and academic factors.
DEVELOPMENT OF A MOBILE APPLICATION FOR MEDICAL STAFF AND POLYCLINIC PATIENTS
Authors:   Kostanay regional university named after. A. Baitursynuly, Kuzenbayev B.A. , Kuzenbaeva A.A. , Alippayeva D.ZH. , Zhaxygeldin Y.A.
Published: December 2024

This article describes the process of developing a mobile application for medical staff and patients of a
polyclinic. The application is aimed at improving interactions between patients and medical workers, optimizing the
appointment booking process, access to test results, and managing medical records. The main stages of development
are presented, including requirements analysis, prototyping, platform selection, and testing. The key functions of the
application and its benefits for improving the quality of medical care are described. The testing confirmed the
effectiveness of the application and user satisfaction.
RESEARCH OF COMPLEX ELECTRICAL CIRCUITS USING MS EXCEL AND MULTISIM SOFTWARE
Authors:   D.  Serikbayev  East  Kazakhstan  technical  university, Kunapianova A. , Prokhorenkova N. , Sarsenova A. , Akhmadieva G.
Published: December 2024

Currently, the development of computer technology occupies an important place in the field
of education. In technical higher educational institutions, calculations are usually performed manually in
practical classes and checked by a teacher. This applies to the traditional learning process. The human
factor plays an important role in this process. For example, when calculating complex electrical circuits, the
probability of errors is very high. It also takes some time to check for errors. The article proves that with
optimal integrated use of popular software such as MS EXCEL and MULTISIM, it is possible to solve this
problem by gaining the skill of "self-checking". The article considers as an example the calculation of
alternating current circuits and transients, which are often considered in electrical engineering. When
analyzing electrical circuits, special attention is paid to the advantages of these programs. As a result, the
student can calculate the task using one program and check the calculation results with another program.
With this method of teaching, the teacher does not fully interfere in the calculation process, but only adapts
the student to the method of "self-checking", acting as an observer.
THE RESULTS OF EXPERIMENTAL AND THEORETICAL STUDIES OF A MODEL OF A SOWING COMPLEX WITH DIFFERENT VALUES OF ROW SPACING AND VIBRATING DISC COULTERS
Authors:   D. Serikbayev EKTU, Ust-Kamenogorsk,  Kazakhstan, Rogovsky V.V. , Bugaev A.B. , Yelemanov D.
Published: December 2024

The article is devoted to the interaction of the disk vibration working bodies of the sowing
unit with the soil. To reduce the forces of traction resistance and energy intensity of tillage, increase the
speed and productivity of sowing units, patterns characterizing the effect of vibrations on the soil have been
identified and a mechanical and mathematical model of cutting soil with a vibrating disc working body of a
sowing unit has been developed, mathematical dependencies have been obtained to determine the
parameters of vibro-impact interaction of the cutting edge of a disc working body with the soil and conditions
for the effectiveness of the vibration cutting process have been established from the point of view of reducing
the traction resistance and energy intensity of the process. A method for selecting rational parameters of soil
vibration cutting in the design and operation of a disk working body of sowing equipment has been
developed. The results of experimental studies of a prototype of vibrating working equipment are presented,
confirming the theoretical results obtained and proving the effectiveness and expediency of vibrating cutting
of soil with a disk working body to reduce traction resistance and energy costs.
IMPACTOS PSICOLÓGICOS E O DESGASTE DA SAÚDE MENTAL DOS POLICIAIS PENAIS
Authors: Dezan Monica Marangoni , Costa Roclana Almeida da , Mendes Suzanny Oliveira
Published: December 2024

O presente estudo tem como propósito uma análise crítica, visando compreender os riscos que os profissionais de que atuam na área da Segurança Pública Prisional estão expostos, bem como relacionar os principais achados de transtornos mentais com os possíveis fatores que contribuem para o desenvolvimento e agravamento das doenças. Notou-se que os transtornos mentais mais relevantes que atingem a saúde mental do policial foram: depressão, transtornos de ansiedade e síndrome de burnout. Entre os fatores relacionados, podemos destacar as longas jornadas de trabalho e a pressão sofrida por esses agentes pelas instituições de segurança e sociedade. Por fim, conclui-se sobre a importância de estratégias para a inclusão do debate relacionado à saúde mental do policial penal, tão logo que os mesmos iniciem na carreira, promovendo acompanhamento psicológico de prevenção e tratamento dos transtornos mentais aos quais o policial penal está exposto.
ESTÁGIO SUPERVISIONADO DE PSICOLOGIA EM UM CENTRO DE ATENÇÃO PSICOSSOCIAL I: RELATO DE EXPERIÊNCIA
Authors: Lopes Bia Hegele , Rodrigues Jeferson , Breda Claudia
Published: December 2024

Trata-se de um artigo com o objetivo de descrever as experiências de um estágio obrigatório de Psicologia no CAPS I no município de Garopaba e refletir o sentido da consolidação da formação diante a transição estudante-profissional. O método consistiu em um relato de experiência a partir da vivência e observações de uma estagiária. Os registros foram realizados em um diário de campo, o que permitiu analisar o conjunto do percurso formativo. Os resultados apresentam o contexto do serviço, as atividades realizadas pela estagiária e as ofertadas pelo CAPS para compor o Projeto Terapêutico Singular. As discussões refletiram o acolhimento como atividade que a equipe avalia se a pessoa usuária será acompanhada pelo serviço e o lugar da psicoterapia no cotidiano do trabalho de psicóloga. As conclusões referem que o CAPS é um espaço formativo significativo para a consolidação teórico-prática para a psicologia ao permear uma identidade profissional no campo da saúde pública do Sistema Único de Saúde, pautada pela clínica ampliada, ética e política pública.
O USO DO CANABIDIOL ASSOCIADO AO TRATAMENTO FISIOTERAPÍCO EM PESSOAS COM DOENÇA DE PARKINSON: UMA REVISÃO INTEGRATIVA
Authors: Souza Francisco Dheyme Silva , Braga Filho Francisco Marcelo Alves , Liberato Francisca Rocha Carneiro , Vasconcelos Germana Greicy de , Alves Carlos Natanael Chagas , Cunha Francisca Maria Aleudinelia Monte
Published: December 2024

A Doença de Parkinson (DP) é uma condição neurodegenerativa que afeta o sistema nervoso central, causando comprometimentos motores e não motores que impactam a qualidade de vida dos pacientes. Este estudo teve como objetivo descrever os efeitos do canabidiol (CBD) associado ao tratamento fisioterapêutico em pessoas com DP, por meio de uma revisão integrativa de leitura. A pesquisa foi realizada nas bases de dados PubMed, SciELO, Medline e Google acadêmico, utilizando os descritores relacionados a DP, CBD e fisioterapia, considerando artigos publicados entre 2014 e 2024. Os resultados demonstram que o CBD, devido às suas propriedades anti-inflamatória e neuroprotetoras, pode ser eficaz na redução de tremores, rigidez muscular e dor, enquanto a fisioterapia contribui para melhora da mobilidade e funcionalidade. Contudo, a falta de padronização em dosagens e vias de administração do CBD, bem como a escassez de ensaios clínicos robustos, evidencia a necessidade de mais estudos sobre o tema. Conclui-se que a interação do CBD com a fisioterapia apresenta potencial terapêutico promissor para o manejo da DP, destacando a relevância de profissionais capacitados na prescrição e aplicação de terapias complementares.
RIOMOBI: PROTÓTIPO DE APLICAÇÃO ANDROID PARA AQUISIÇÃO DE PASSAGENS DE BARCOS NO AMAZONAS
Authors: Figueiredo Karen Waleska Alves , Louzada Carlos Rafael Lima
Published: December 2024

Este artigo apresenta o desenvolvimento de um protótipo de aplicativo móvel Android para a aquisição de passagem de barco no Amazonas, bem como os resultados dos testes de usabilidade do mesmo. 6 participantes realizaram tarefas como criar conta, fazer login, recuperar senha, buscar e comprar passagens. A análise foi feita a partir dos dados qualitativos obtidos por meio do questionário aplicado ao final do teste. Os resultados demonstram que, apesar de alguns usuários terem enfrentado dificuldades de navegação, falta de clareza e lentidão, o protótipo se mostrou eficiente nas tarefas dentro de sua proposta. Conclui-se que o desenvolvimento de um aplicativo móvel Android para a finalidade de compra de passagens de barco possui potencial para ser bem aceito e facilitar o processo de negociação para os viajantes.
EFEITOS A LONGO PRAZO DA TERAPIA COM IMUNOGLOBULINA INTRAVENOSA NO TRATAMENTO DA DOENÇA DE KAWASAKI: UMA ANÁLISE DE RESULTADOS CARDIOLÓGICOS E VASCULARES EM CRIANÇAS
Authors: Lobo Daniel Mendes Lira , Forghieri Carolina Garcia , Piazza Thiago Antunes , Godinho Gabriel Benevides
Published: December 2024

A Doença de Kawasaki (DK) é uma vasculite sistêmica que afeta predominantemente crianças e pode resultar em sérias complicações cardiovasculares, especialmente em relação à formação de aneurismas coronários. A terapia com imunoglobulina intravenosa (IVIG) é o tratamento de primeira linha, sendo eficaz na redução das complicações agudas, incluindo a formação de aneurismas. Contudo, os efeitos a longo prazo da IVIG no tratamento da DK ainda são pouco compreendidos. Este estudo tem como objetivo avaliar os resultados cardiovasculares e vasculares em crianças tratadas com IVIG para DK, focando especialmente nas consequências a longo prazo. A revisão de literatura incluiu estudos sobre a evolução dos pacientes com diagnóstico de DK tratados com IVIG, com ênfase nas complicações vasculares persistentes, como aterosclerose precoce, hipertensão e aneurismas coronários. Os achados indicam que, apesar da eficácia inicial do tratamento com IVIG, as crianças tratadas podem apresentar alterações cardiovasculares persistentes que necessitam de monitoramento contínuo a longo prazo. Além disso, a importância de estratégias de acompanhamento cardiovascular em longo prazo para prevenir complicações cardiovasculares futuras foi enfatizada.
Determination of low-level temperature profiles from microwave radiometer observations during rain
Authors: Foth Andreas , Lochmann Moritz , Saavedra Garfias Pablo , Kalesse-Los Heike
Published: December 2024

Abstract. Usually, microwave radiometer observations have to be discarded during rain. The radomes of the receiver antenna get wet, which hampers accurate measurements since the retrieval algorithms to derive atmospheric quantities are not trained for rain events. The reason for the latter is, that the raindrops dominate the microwave signal compared to the weaker signal from atmospheric gases. To account for this, radiative transfer simulations need to include the electromagnetic properties of rain, which usually requires more complicated and expensive simulations. In this work, the performance of newly developed microwave radiometer retrievals that are not based on rain simulations is evaluated to assess how they work during rain events. It is shown that it is possible to retrieve low-level temperature profiles during rain by omitting certain frequencies and zenith observations. Retrievals with various combinations of elevation angles and frequencies are evaluated. We show that retrievals based on scanning mode observations with angles below 30° without zenith observation and only the less transparent upper four HATPRO microwave radiometer frequencies of the V-band (54.94, 56.66, 57.3, 58 GHz) provide the best results. An analysis of the calculated degrees of freedom of the signal shows that the retrieval of temperature profiles up to 3 km for no rain, 1.5 km for light to moderate rain, and 1 km for very heavy rain is driven by the HATPRO observation and not by climatology. Finally, the performance of the temperature profile retrieval is explained using a case study in Lindenberg, Germany, and evaluated with temperature profiles from the European Centre for Medium-Range Weather Forecasts (ECMWF) model for different rainfall intensities. The results show that the higher the rainfall rate, the larger the deviation of the retrieved microwave radiometer temperature profile from the ECMWF model output. The proposed retrievals for temperature profiles up to at least 1.5 km for rain rates below 0.5 and below 2.5 mm h−1 have uncertainties of less than 1 and 2 K, respectively, compared to ECMWF model output profiles.
Exploring the driving factors of compound flood severity in coastal cities: a comprehensive analytical approach
Authors: Liu Yan , Zhang Ting , Ding Yi , Kang Aiqing , Lei Xiaohui , Li Jianzhu
Published: December 2024

Abstract. Coastal cities face severe compound flooding, including both fluvial flooding and pluvial flooding. Currently, there is a lack of comprehensive methods to analyze the driving factors of compound flooding. This study establishes a coupled one-dimensional and two-dimensional hydrodynamic model. Based on historical data, the model constructs joint probability distributions of rainfall and tide levels with different return periods and durations. Using the results from the coupled model under various design scenarios, the study proposes an impact index to quantify the relative contributions of rainfall and tide level to flooding. Additionally, the model quantifies the interactions between fluvial flooding and pluvial flooding. Taking the Shahe River basin in Guangzhou, China, as a case study, the results show that the combination of the copula function and the Kendall return period method is effective for designing hydrological variable combinations. The impact degree index of rainfall on flooding varies between 0.5 and 1, with the minimum at 24 h duration, indicating that the compound flooding is primarily affected by rainfall, and the influence of tide level is most significant at 24 h duration. The pluvial flooding caused by the influence of river water level on the drainage outfalls accounts for up to 19.08 % of the total volume. This shows that fluvial flooding affects the seriousness of compound flooding by influencing the water levels of outfalls. The flood-prone area is divided into different regions based on the main natural factors (rainfall and tide level) and social factors (pipeline network, drainage outfalls, and riverbank defenses) to help decision-makers identify the causes of flooding in each drainage unit and better formulate targeted disaster-reduction strategies to improve flood control capabilities.
Canada’s Contribution to LIS Research
Authors: Shamchuk Lisa
Published: December 2024

To support evidence based decision making, for updating and enhancing authentic Library and Information Studies (LIS) curriculum, or supporting services, programs, and other evaluative practices within various library settings, this exploratory quantitative content analysis examined the scope of Canadian LIS research. In total, 4354 peer reviewed research articles from 25 LIS journals published between 2015-2022, were coded for Canadian content, author affiliation, and sector representation. Percentages of Canadian content and authorship from this point in time analysis align with previous studies, showing that Canadian content and authors are less prevalent compared to those from the USA, with a strong emphasis on academic libraries and academic affiliated authors. A shortlist of key academic journals with significant Canadian representation was also compiled and shared to aid in gathering evidence about Canadian libraries.
Millî Eğitim Bakanı Hasan-Âli Yücel’in Hayatı, Eserleri ve Eğitim İle İlgili Görüşlerinin İncelenmesi
Authors: Bodur Ahmet
Published: December 2024

Hasan-Ali Yücel was born on December 17, 1897 in Istanbul. His father is Postal and Telegraph Inspector Ali Rıza Bey and his mother is Neyire Hanım. in 1901, when he was four years old, he went to the Yolgechen School in Laleli, and in 1906, when he was nine years old, he went to Mekteb-i Osmani. After graduating from Mekteb-i Osmani in 1911, he went to Vefa Idadisi. March December 1, 1935 Hasan-Ali Yucel entered the Parliament as a deputy Izmir, on December 28, 1938 he was appointed Deputy of Education (Ministry of National Education). He started this task when he was 41 years old and held it until August 12, 1946. Within this process, Yücel had the opportunity to carry out the educational activities he had been working on for many years, and carried out humanist reforms in accordance with Kemalist principles with the support of Ismet Inönü during his ministry. He resigned from the ministry on August 5, 1946 and continued his duty as a deputy. during the period of his ministry, which lasted 7 years and 7 months, he carried out important activities in primary education, public education, village education, art education, technical education, fine arts, broadcasting, higher education mobilization and many other fields. At all levels of education; there have been important initiatives in primary, secondary and higher education. Village Institutes were established, the number of village schools was increased, textbooks and curricula were organized, importance was given to teacher training, universities, many faculties and colleges were opened, importance was given to increasing vocational and technical education. The Village Institutes, which were put into operation during the Ministry period and left a mark on the history of Turkish education, were established with the efforts, leadership and support of the Minister of National Education Hasan-Ali Yücel and the General Director of Primary Education Ismail Hakkı Tonguç. Yücel took part in the educational, artistic, cultural, political and social infrastructure of the institutes and in the discussions in the Parliament, Tonguç took part in the practices and the creation of the theory of the Institute.
Key Words: Hasan-Ali Yucel, Education, National Education
EMOTIONAL REGULATION IN ADOLESCENCE: A COMPREHENSIVE REVIEW
Authors: Yılmazer Eda
Published: December 2024

Ergenlik dönemindeki duygusal düzenleme (DD), duygusal, bilişsel ve sosyal alanlarda önemli dönüşümlerle karakterize psikolojik gelişimin dönüm noktası bir yönüdür. Bu kritik dönem, genç bireylerin karmaşık duygusal manzaraları nasıl yönlendirdiklerini nüanslı bir şekilde anlamayı gerektirir. İnceleme makalesi, DD'nin çok yönlü doğasına derinlemesine dalıp, ergenlerin gelişim yörüngelerini şekillendirmedeki merkezi rolünü vurgular. DD'nin geniş kapsamlı etkisini, sadece kişisel iyi oluşu değil aynı zamanda akademik performansı, sosyal ilişkileri ve genel ruh sağlığını da etkilediğini belirtir. Makale, ergenlikteki DD üzerine mevcut araştırmaları yöntemli bir şekilde sentezleyerek, DD stratejilerini etkileyen biyolojik, psikolojik, sosyal ve çevresel faktörlerin etkileşimini inceler. Duygusal iyi oluşu ve direnci teşvik eden adaptif stratejiler ile duygusal zorlukları şiddetlendirebilecek ve kişisel gelişimi engelleyebilecek maladaptif stratejiler arasında net bir ayrım çizer. Ayrıca, inceleme, yetkin DD'nin ergen yaşamının önemli alanları üzerindeki sonuçlarını, akademik başarı ve sosyal entegrasyon dahil, inceleyip ergenlerin ER yeteneklerini güçlendirmeyi amaçlayan mevcut müdahalelerin etkinliğini sorgular.
VOİCES FROM VİOLENCE: TRACES OF DYSTOPİA İN SİMON ARMİTAGE’S POETRY
Authors: Çakar Emre
Published: December 2024

This paper analyzes the use of dystopian themes in contemporary British poetry, focusing on Simon Armitage’s work. Dystopian literature is a powerful medium for addressing social and political issues, reflecting anxieties about politics and social justice. Armitage’s poetry, particularly in his collection Out of the Blue, exemplifies this approach by engaging with significant historical events such as the 9/11 attacks. Through vivid imagery and personal narratives, Armitage criticizes social troubles that result in violence and instability. His concern about human nature and social responsibilities highlights the interplay between individual experiences and social criticism. Accordingly, this study emphasizes the relevance of dystopian elements in Simon Armitage’s poetry as an embodiment of contemporary British poetry and a critical reflection on our age
The use of artificial intelligence in coordinating COVID-19 prevention measures at the territorial level
Authors: Demiscan Daniela , Lozan Oleg
Published: December 2024

Introduction. The Coronavirus Disease 2019 (COVID-19) pandemic presented a significant challenge for global society, leaving a profound impact across the board. Although COVID-19 cases are still reported, they are no longer at previously high levels. One of the key tools in combating the pandemic was Artificial Intelligence (AI), which played a vital and advancing role throughout the pandemic. AI contributed significantly to the gradual reduction in COVID-19 cases. Effective coordination of the pandemic response, timely management, and the integration of AI into the medical system were crucial factors in achieving success. Materials and methods. A comprehensive literature review focusing on publications from 2019 to 2024 was conducted using Google Scholar, PubMed, and Science Direct. Twenty publications were selected for their relevance to AI in the COVID19 response, based on criteria such as accessibility, language, and publication type. Result. The review focused on the significant role of AI during the COVID-19 pandemic, highlighting its impact on public health and medical systems. In countries like the USA, China, and South Korea, AI was crucial in tracking the virus, predicting infection trends, and optimizing resource allocation. AI models helped identify outbreak hotspots and enabled targeted interventions, while natural language processing efficiently managed extensive data. Conversely, in countries such as Brazil, Mexico, India, and many African nations, AI was used less extensively due to limitations in technological infrastructure and data availability. The pandemic drove a closer integration of AI with medical services, streamlining processes and saving time. AI also enhanced laboratory efficiency and supported the development of new medications and vaccines. Despite its potential, the uneven adoption highlighted disparities in technological readiness and resource allocation during the crisis. Conclusions. The COVID-19 pandemic has once again highlighted that we live in an era of advanced technology and underscores the need for closer integration between healthcare systems and artificial intelligence. This integration allows for more effective and timely management of current and future health challenges. AI contributes to a more rapid and high-quality response to emergencies, providing innovative solutions for both existing and upcoming challenges.
Parasitic infestations and their influence on joint inflammation
Authors: Grosu Maia , Groppa Liliana , Placinta Gheorghe , Pantea Victor , Russu Eugeniu
Published: December 2024

Objective. The objective of this study was to conduct a bibliographic analysis of current data regarding the impact of parasitic infestations on immune status and the progression of osteoarticular diseases within the context of parasitic infections. Material and methods. This was a qualitative analytical study presented as a narrative literature review. Relevant primary sources published between 2016 and 2022 were identified and selected using data extraction and analysis methods. Results and discussion. The concept of “parasitic therapy” has generated considerable interest among researchers, the public, and patients for whom standard treatments have been ineffective or offered limited results. Although studies exploring the role of parasitic infections in arthritis are less common than in other fields, animal models suggest that parasitic infections may alleviate joint inflammation. However, further research is needed across different forms of arthritis, including clinical data collection and double-blind, controlled clinical trials. Conclusions. While only a few studies have demonstrated that parasitic infections may worsen preexisting diseases, the scientific consensus is that parasitic infections can create an immunoregulatory environment, reducing the severity of coexisting conditions. Finally, more rigorous animal studies are required to thoroughly investigate immunomodulatory mechanisms and potential side effects of parasitic infections in the presence of other diseases.
Thực trạng quản lý hoạt động tổ chuyên môn ở các trường trung học cơ sở huyện Cao Lãnh, tỉnh Đồng Tháp
Authors: Nguyễn Trường Nam
Published: December 2024

Hoạt động tổ chuyên môn ở trường trung học cơ sở đóng vai trò quan trọng trong việc nâng cao chất lượng giảng dạy và học tập. Tổ chuyên môn tổ chức các buổi sinh hoạt chuyên đề, chia sẻ kinh nghiệm giảng dạy, trao đổi phương pháp giáo dục và đánh giá kết quả học tập của học sinh trong suốt quá trình dạy học. Hoạt động này giúp giáo viên cải thiện kỹ năng chuyên môn, áp dụng các phương pháp giảng dạy hiệu quả, đồng thời nâng cao tinh thần đoàn kết và hợp tác giữa các thành viên trong Tổ. Trên cơ sở lí luận quản lý hoạt động của tổ chuyên môn ở trường trung học cơ sở, nghiên cứu thực hiện trên 122 cán bộ quản lý và giáo viên ở các trường trung học cơ sở trên địa bàn huyện Cao Lãnh, tỉnh Đồng Tháp, qua đó làm rõ mặt mạnh, mặt yếu và nguyên nhân của thực trạng quản lý hoạt động tổ chuyên môn, làm cơ sở đề xuất một số biện pháp quản lý hoạt động tổ chuyên môn ở các trường trung học cơ sở trên địa bàn huyện Cao Lãnh, tỉnh Đồng Tháp góp phần nâng cao chất lượng hiệu quả hoạt động của tổ chuyên môn đáp ứng yêu cầu đổi mới giáo dục trong giai đoạn hiện nay.
Thực trạng và biện pháp quản lý hoạt động đổi mới phương pháp dạy học ở các trường tiểu học huyện Cần Đước, tỉnh Long An
Authors: Hoàng Ngọc Linh , Phạm Minh Giản
Published: December 2024

Đổi mới phương pháp dạy học không chỉ giúp học sinh tiếp thu kiến thức mà còn trang bị cho học sinh những kỹ năng và thái độ cần thiết để phát triển bền vững trong tương lai. Nghiên cứu này sử dụng phương pháp điều tra xã hội học kết hợp với phỏng vấn thực hiện trên 110 cán bộ quản lý và giáo viên của các trường tiểu học trên địa bàn huyện Cần Đước, tỉnh Long An. Thông qua kết quả khảo sát, nghiên cứu đã phân tích, đánh giá thực trạng quản lý hoạt động đổi mới phương pháp dạy học ở trường tiểu học huyện Cần Đước; đồng thời đưa ra những mặt mạnh, hạn chế, cơ hội và thách thức của những thực trạng trên. Dựa trên kết quả đó, chúng tôi đã đề xuất một số biện pháp góp phần nâng cao hiệu quả quản lý hoạt động đổi mới phương pháp dạy học ở các trường tiểu học huyện Cần Đước, tỉnh Long An. Nghiên cứu có ý nghĩa thực tiễn hỗ trợ các trường tiểu học trên địa bàn nghiên cứu nâng cao chất lượng dạy và học, góp phần phát triển năng lực học sinh đáp ứng yêu cầu của đổi mới giáo dục hiện nay.
A Streamlined Approach to Student Stream Prediction Using an Ensemble Machine Learning Model
Authors: Rajan Saluja
Published: December 2024

Finding a stream or course after secondary or senior secondary education is a daunting challenge for students and parents, as numerous options are available in various engineering and non-engineering courses. This decision potentially influences a student’s academic success and career. Most frequently, they take courses with the advice of relatives, neighbors, or career counsellors. Online platforms and Learning Management Systems also exist to offer guidance on stream selection. Still, these systems rely on short-term assessments such as tests, quizzes, or interviews, potentially restricting a student's options. Our research employed the Rajan and Rai (RR) student performance prediction model based on a sophisticated Ensemble Machine Learning approach. Our model incorporates a stack of four multiclass classifiers, namely Decision Tree, k-Nearest Neighbor, Naïve Bayes, and One vs. Rest Support Vector Machine classifiers, and demonstrates a remarkable accuracy rate of 80% for predicting the most suitable academic stream for a student in an Institution. To develop this model, we utilized data from five distinct branches of students. We aim to enhance students' academic success so they can complete their degrees with excellent Grades. Exploring our model in the education sector empowers students with the timely facilities they need for a successful and fulfilling educational journey.
Evaluating the use of sublingual sufentanil in patients with buprenorphine treatment who are undergoing ambulatory surgery: A Prospective Case Report
Authors: Slinchenkova Kateryna , Medrano Elilary Montilla , Yedlin Adam S. , Anand Preeti , Gritsenko Karina , Steinberg Sofia , Breidenbach Kathryn , Koushik Sarang , Raghavan Jagun , Viswanath Omar , Shaparin Naum
Published: December 2024

Introduction

Opioid use disorder is a chronic illness with significant morbidity and mortality. Opioid agonists, like buprenorphine, are commonly used to prevent relapse. Recent changes in buprenorphine legislation are expected to increase prescription and guidelines recommend its continuation during the perioperative period for many patients. However, buprenorphine’s strong affinity for mu receptors can complicate perioperative pain management, requiring high doses of analgesics and increasing risks like respiratory depression. A newly FDA-approved sublingual sufentanil system, with higher mu receptor affinity, may offer a solution.

Case Presentation

A series of three cases with patients undergoing outpatient surgery procedures while continuing buprenorphine treatment are presented.

Management and Outcomes

Sublingual sufentanil was effective in lowering pain with no adverse effects for the buprenorphine patients undergoing surgery with general anesthesia without a missed dose.

Conclusion

Further research is needed to make conclusive remarks on the efficacy of this treatment, but the quick onset and effective treatment make this route worthwhile to consider.