bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of grace, timi risk scores for prediction of major adverse cardiac events in patients with acute myocardial infarction, Vietnam
Authors: Trung Vu Ngoc , Linh Nguyen Khanh , Nga Vu Van , Hong Le Thi Diem , An Pham Thi Thuy , Quynh Do Thi
Published: February 2024

Acute myocardial infarction (MI) is one of the leading causes of cardiovascular death and can experience many events during illness. Therefore, many risk prediction scales have been established to stratify patients with acute MI, in which TIMI and GRACE scores are common. We conducted this study to compare the predictability of GRACE and TIMI scores in patients with acute MI within 12 months. A prospective cohort study was performed on 195 patients with acute MI, of which 86 patients had ST elevation (STEMI) and 109 patients without ST elevation (NSTEMI). The study looked at five major events including death, coronary re-intervention, bleeding due to drug use, re-hospitalization, and stroke. As a result, the heart rate in the STEMI group was 83.06 ± 14.78, higher than the heart rate of the NSTEMI group at admission (78.59 ± 10.63), the difference was significant with p = 0.015. The study has not shown the predictive effect of GRACE and TIMI scores on the occurrence of events in patients with acute MI within 12 months. However, the study showed that GRACE can better ability to stratify the risk for the group of subjects that had not yet occurred.
The clinical characteristics of dissociative disorders at adolescent health department, Vietnam National Children's hospital
Authors: Vinh Ngo Anh , Tu Dang Hai
Published: February 2024

To describe the clinical characteristics of dissociative disorders, a cross- sectional study was conducted on 57 adolescent patients diagnosed with dissociative disorder, from December 2021 to June 2023, at the Adolescent Health Department - Vietnam National Children's Hospital. The average age was 13.2 ± 2.62 years old, and the female/male ratio was 1.5/1. Most patients were in rural areas (73.7%), reached puberty (89.5%), had introverted personalities (78.9%), belonged to the group of movement dissociative disorders (43.9%) and dissociative seizures (28,1%). Most clinical conditions were related to psychological trauma (84.2%). Psychological trauma mainly comes from the family and school environment, accounting for 72.5% & 19.6% respectively. The majority of children had conflicting relationships with their parents (68.4%). 43.9% cases showed signs of anxiety, and 38.6% showed signs of depression from mild to severe levels. Dissociative disorders are more common in girls than boys and are mostly related to psychological trauma. Most patients have accompanying symptoms of anxiety and depression. We recommend to limit psychological trauma on adolescents, especially in family & school environment.
El Real Acuerdo de la Real Chancillería de Valladolid. Organización, funciones y documentos
Authors: Marcos Diez David
Published: February 2024

El objetivo del presente artículo es el estudio del Real Acuerdo de la Real Chancillería de Valladolid, órgano rector de una de las instituciones de justicia más importantes de la Corona de Castilla durante el Antiguo Régimen. A partir del análisis de la documentación del órgano, que se custodia principalmente en el Archivo de la Real Chancillería de Valladolid, se trata de establecer su organización, composición y funcionamiento, detallando la figura del secretario del Acuerdo y los distintos tipos de acuerdos y audiencias. Se analizan las funciones del órgano, que se tipifican en gobierno interior,destacando en éste la promulgación de autos normativos que irían modelando los distintos oficios, el cauce procesal y la práctica jurídica del tribunal; y el recibimiento y designación de magistrados y oficiales. Función judicial, como vertebrador de gran parte del entramado jurídico del tribunal. Y función de gobierno del territorio de su ámbito jurisdiccional, con importantes interrelaciones con el Consejo de Castilla. Asimismo, se analizan los distintos documentos y libros producidos por el órgano como resultado y en apoyo de sus funciones, en los que destacan los libros de actas.
The Getty Fiend
Authors: White Ken
Published: February 2024

The Getty Fiend, a contemporary medieval melodrama set in Los Angeles’s Getty Museum, takes the reader on a tour filled with rock stars and warrior-kings, werewolves and archivists, sartorial Huns and libertine saints, all seen through the keenly dramatic flair of a collector’s eye. A cinematic and labyrinthine take on pulp horror, Ken White’s screenplay-in-verse is a monster mash-up of forms and languages, facades and carnal catastrophes, archaic languages and misplaced rhetorics—a campy, fantastical gender-bending transformation into the inadvertently divine.
The Association of Vitamin D Insufficiency/Deficiency with Metabolic Syndrome, Quality of Life and Depression in Postmenopausal Women
Authors: KÜÇÜK Sefa Can , YIBAR Artun , BEYNEL Semra , SALTIKLAR Güler
Published: February 2024

Aim: This cross-sectional study aimed to assess the association of vitamin D insufficiency/deficiency with metabolic syndrome risk factors, quality of life, and depression in postmenopausal women aged 50 years and older. Materials and methods: The study was conducted with women who attended a handicraft course in Bursa Province, Turkey, in March 2019. At the initial visit, blood samples were obtained from the individuals, and the study was proceeded with 150 out of 165 participants with serum 25-hydroxyvitamin D (25(OH)D) levels lower than 30 ng/mL. At the second visit, the subjects were questioned about their general characteristics, quality of life, and depression. In addition to the questionnaire, metabolic syndrome was defined according to the diagnostic criteria of the International Diabetes Federation, and waist circumference and blood pressure measurements were made for each participant. Results: The prevalences of vitamin D insufficiency and deficiency in the participants were 21.3% and 78.7, respectively. When compared to the women with vitamin D insufficiency, those with vitamin D deficiency displayed a significantly higher metabolic syndrome prevalence (46.6% vs 18.8%), waist circumference, blood pressure, and fasting blood glucose levels, and significantly lowered high density lipoprotein cholesterol levels (P
Rezension von: Zwerenz, Petra, Alb ond Älbler
Authors: Besserer Luise , Zwerenz Petra
Published: February 2024

Petra Zwerenz: Alb ond Älbler - Geschichten und Gedichte. Theiss-Verlag Stuttgart 1997. 80 Seiten. Gebunden DM 24,-
Rezension von: Dürer, Holbein, Grünewald. Meisterzeichnungen der deutschen Renaissance aus Berlin und Basel
Authors: Setzler Sibylle
Published: February 2024

Dürer, Holbein, Grünewald. Meisterzeichnungen der deutschen Renaissance aus Berlin und Basel. Verlag Gerd Hatje Ostfildern-Ruit 1997.
Rezension von: Schrenk, Christhard, Schatzkammer Salzbergwerk
Authors: Tripps Manfred , Schrenk Christhard
Published: February 2024

Christhard Schrenk: Schatzkammer Salzbergwerk - Kulturgüter überdauern in Heilbronn und Kochendorf den Zweiten Weltkrieg. (Quellen und Forschungenzur Geschichte der Stadt Heilbronn, Band 8). Stadt Heilbronn 1997.
The impact of monetary policy normalisation on secured money markets
Authors: Vela Claudio , Aguilar Alicia
Published: February 2024

Rationale

This article offers an empirical analysis of the main factors which explain the variations in the repo-deposit facility rate (DFR) spread in the euro area, focusing on the impact of monetary policy normalisation. The findings suggest that a notable rise in interest rate expectations was the main factor behind the widening of the spread in 2022. In 2023 the slowdown in the pace of interest rate hike expectations and the Eurosystem’s balance sheet reduction returned the spread to the levels prior to the start of the policy rate hiking cycle.

Takeaways

•The widening of the repo-DFR spread in 2022 arose mainly from interest rate hike expectations.

•Other conjunctural factors such as monetary policy uncertainty and the demand for short-term assets also contributed to the widening of the spread.

•The temporary tensions seen in this market in 2022 eased in 2023 with lower expectations of interest rate hikes.
Preaching to Awaken the Woke
Authors: Pugh Jeffrey Raymond
Published: February 2024

A confrontation is occurring within conservative congregations between conventional evangelical and ‘woke’ mindsets that directly affects the authority of the preacher. Two scenarios are presented from recent preacher experiences from within churches that ostensibly hold a conservative evangelical theological position. The particulars of this new Western cultural phenomenon are outlined using two postmodern philosophers to assist in making sense of these scenarios. Psychodynamic analysis shows that a knee-jerk response to ‘woke’ triggering distorts Christian community at deep levels. A similar cultural shift can be traced from the New Homiletic to the present via homileticians who suggest that preaching must accommodate itself to this culture’s justice claims to avoid confrontation. This results in a significant truncation of the scope of preaching authority. Two alternative strategic responses provide space for authoritative preaching: one revisits the theological template upon which catechesis is offered to new believers, replacing the ‘woke’ view of history with a more biblical eschatology. The other strategic response is to empower the whole congregation with alternative political processes derived from Matthew 18. This provides space for the illuminating work of the Spirit to again use preaching to transform the hearts and minds of believers regardless of their mindsets.
Current status of social network use and some related factors among final-year medical students at Hanoi Medical University in the 2022-2023 school year
Authors: Le Dinh Luyen , Nguyen Thi Thu Huong , Dam Thi Ngoc Anh , Tran Kim Thanh
Published: February 2024

ABSTRACT Introduction: The study was conducted to describe the current status of social network use and identify some factors related to the use of social networks among final-year medical students at Hanoi Medical University in the 2022 -2023 school year Methods: A cross-sectional descriptive study was conducted on 318 final-year medical students. Results: Facebook is the social network most used by students (96.2%), the lowest is Weibo (1.3%), and 82.4% of students use social networks for communication and exchange purposes. Students use social networks during the day for the most time from 1-2 hours (30.5%). Students who do not live with their families and students majoring in oral and maxillofacial surgery use social networks more during the day. On the contrary, students with average academic performance spent less time using social networks during the day than the other groups. Conclusion: It is necessary to develop further research, conducted on a larger sample size, to have an overall picture of the current status of social network use and its influence on academic performance and other related factors. Keywords: social network, student, medicine, final year, Hanoi Medical University
A study on measuring service quality of Domino’s in Panvel Region
Authors: Kumawat1 O. I. , Raut S. H. , Khan K. W. , Alware A. A. , Varma K. V.
Published: February 2024

The purpose of this study is to measure service quality of Domino’s in Panvel Region. Dominos is one of the oldest & finest fast food restaurants since the 1960s. Dominos pizza is most preferred by the customers. The retail franchise outlet of dominos, on the Forbes Private 500 list, Domino's has the position of the 200th largest private firm. In addition to specialty items like flavored crust pizzas, Domino's offers a wide range of ‘pizza products, including pan, thin-crust and deep-dish pizzas’. Here the primary & Secondary method is used for data collection for the research. A Structured Questionnaire was prepared to collect data from the respondents for the analysis. It is observed that Paired Sample T-test ( Perceived & Expected Mean ) and Reliability Analysis is used for scale data. Resulting into P-value 0.971 which indicates that scale data is quite reliable and reductant. factors like “Reliability, Price & Usage, Assurance, Ambience, Empathy” etc are used to measure service quality of Domino’s in Panvel Region. It is concluded that variables like Convenient staff, order & Management systems, location, cleanliness proves no significant difference between expected and perceived mean of service quality of Dominos in Panvel Region.
Postbiotics: potential applications in early life nutrition and beyond
Authors: Roy Priyanka , Rana Rashi , Neogi Soumi , Dutta Koyel , Maity Manisha , Tewari Souvik
Published: February 2024

Postbiotics, also known as bioactive compounds, are those that form in a matrix after fermentation and are then employed to promote health. Realizing that an unbalanced population of microorganisms in the gut might contribute to the onset of a variety of diseases has sparked renewed interest in prebiotics, probiotics, and postbiotics as potential means of effecting such a change (including cancer and type-1 diabetes). Any metabolic by-products of a microorganism that have a positive impact on the host are considered postbiotics. By altering the gut microbiome, probiotics have a number of health benefits; nevertheless, technological restrictions such as viability controls have restricted their full potential usage in the pharmaceutical and food industries. As a result, the focus is changing away from viable probiotic bacteria and towards non-viable paraprobiotics and/or biomolecules produced from probiotics, also known as postbiotics. Because they impart a variety of health-promoting properties, paraprobiotics and postbiotics are developing idea in the functional foods sector. Although these concepts are not fully defined, they have been defined as follows for the time being. Probiotics produce postbiotics, which are detected in the cell-free supernatants of live microorganisms. Among them are amino acids, vitamins, enzymes, biosurfactants, organic acids, and short-chain fatty acids. The current review summarizes and discusses a variety of postbiotic molecules as well as their impact on human health.
Indian traditional plants: medicinal properties and Human health
Authors: Pramanik Prathiksa , Tewari Souvik , Mukherjee Paromita , Banka Raksha , Sen Suranjana
Published: February 2024

India is the indigenous country of traditional plant those have various medicinal activity to prevent different diseases. Indian traditional plant plays a conventional role to nourish human health. Medicinal plants contain bioactive components which functioned as secondary metabolites. These metabolites prevent many kinds of disorders without causing any side effects. Numerous pharmacological properties of medicinal plants (Tulsi, Neem, Bay leaves, Nishinda, Nayantara, Kalmegh, Mint etc.) have discussed in this review. They contain phytochemical components such as flavonoid, phenolics, phenylpropanoid, terpenoid, fatty acid, tannin, azadirachtine, azadirone, nimbin, nimbidin, menthone, pulegone, menthofuran, azulene. Due to presence of these bioactive compounds, it possesses pharmacological, therapeutic, pharmaceutical functions like antimicrobial, anti-obesity, anti-infective, antidiabetic, antileukemic, antiulcer, anticancer, antiallergic, antioxidant properties. The object of this review is aimed to elaborate the scientific discussion about phytoconstituent and pharmacological functions of these traditional medicinal plant.
EFFECTS OF DIET ON ENDOMETRIOSIS: A REVIEW
Authors: Koner Debapriya , Ansari Ghausia Alauddin , Roy Pallabi , Paul Amisha , Fatma Anam , Maity Manisha
Published: February 2024

In today’s world, the term "endometriosis" is very common among reproductive-aged women and adolescents. Several women suffer from this disease and experience chronic pain. Infertility is experienced by a large number of women with endometriosis. With the occurrence of endometriosis, women face different risk factors. The relationship between dietary intake and inflammation occurring due to endometriosis is still not evaluated properly. Various ongoing research works are dealing with to see the effect of dietary substances on the pathological and physiological processes of this disease. According to different cohort studies, various foods such as high calcium, vitamin D, A, C, omega-3, and fish oil-containing foods are proven to reduce the risk of endometriosis. Green vegetables were not found to be associated with the formation of chronic inflammation due to endometriosis. Present review work is undertaken to demonstrate a connection between the occurrence and severity of endometriosis and dietary intake.
Physico-chemical analysis of newly prepared prebiotic chocolates by using Galacto Oligosaccharides (GOS)
Authors: Tewari Souvik , Pattanayak Anirban , Zanwar Sonal , Vaishnav Shraddha
Published: February 2024

In India, chocolate is very famous mood freshening sweet food product specially for children. But high consumption of chocolate may be harmful for human health, because most of the chocolates contain high fat. This research has been done to increase the health benefits of chocolate by using cocoa and Galacto Oligosaccharides (GOS). Many researchers have shown their research that GOS is very beneficial for human health such as it helps to lower down the cholesterol levels in the blood, to prevent colon cancer, and helps to improve mineral absorption in human body. Basically, GOS is a type of prebiotic e.g., food for probiotic bacteria. Prebiotics are non-digestible ingredients that benefit the host by boosting the growth and activity of one or a few bacterial species that are already present in the colon. It was also studied by many researchers that cocoa powder contains a lot of caffeine, flavanols, which are polyphenolic compounds. Flavanols, particularly epicatechin monomer and oligomer cocoa flavanols have been linked to a number of health advantages, including boosting nitric oxide synthase, enhancing blood flow and arterial flexibility, lowering blood pressure and platelet aggregation, and reducing inflammation. The main objectives of this research are to develop the formulation of prebiotic chocolate and to evaluate the physicochemical parameters of the newly prepared chocolate. After physico-chemical analysis of carbohydrate, fat, crude fibre and pH, it was found that both the newly prepared prebiotic enriched chocolates (T1 and T2) were significantly different (p≤0.01) from control (T0) and after analysis of protein content, it was also found that both the newly prepared prebiotic enriched chocolates (T1 and T2) were insignificantly different (p≤0.01) from control (T0).
Pengembangan Media Pembelajaran Interaktif Pendidikan Agama Buddha Kelas Vi SD
Authors: Suryana Ari , Pujiyono Pujiyono , Yuliyanti Karuna , Walyono Walyono
Published: February 2024

Media pembelajaran interaktif merupakan salah satu invosi di tengah perkembangan teknologi informasi dan komunikasi dalam bidang pendidikan. Pendidikan Agama menjadi salah satu core values dalam proses pendidikan. Tujuan penelitian ini adalah (1) mengembangkan media pembelajaran interaktif Pendidikan Agama Buddha untuk kelas VI SD, (2) mengetahui kelayakan media pembelajaran interaktif Pendidikan Agama Buddha kelas VI SD. Desain penelitian ini adalah penelitian Research and Development (R&D). Model pengembangan media menggunakan model MDLC (Multimedia Development Life Cycle) yang terdiri dari 6 tahapan. Sumber data yang dikumpulkan berupa data kuantitatif sebagai data pokok dan data kualitatif berupa saran dari responden sebagai data tambahan. Teknik pengumpulan data menggunakan metode angket dengan subyek penelitian siswa kelas VI SD yang beragama Buddha dengan jumlah 42 orang. Hasil penelitian yang telah dilakukan, diketahui bahwa:(1)pengembangan media pembelajaran interaktif Pendidikan Agama Buddha melalui tahap konsep, perancangan, pengumpulan bahan materi, pembuatan, pengujian dan distribusi, (2)kelayakan media pembelajaran interaktif Pendidikan Agama Buddha menurut ahli media termasuk dalam kategori sangat baik dengan nilai rata-rata skor 3,22 dan presentase kulaitas media 82,5%, menurut ahli materi termasuk dalam kategori sangat baik dengan nilai rata-rata skor 3,48 dan presentase kualitas media 86,9%, menurut responden termasuk dalam kategori sangat baik dengan nilai rata-rata skor 3,41 dan prsesntase kualitas media 85,4%. Jadi berdasarkan ahli media, ahli materi, dan siswa maka media pembelajaran interaktif ini layak digunakan untuk mendukung pembelajaran Pendidikan Agama Buddha siswa kelas VI SD.

 

kata kunci: media pembelajaran interaktif; Pendidikan Agama Buddha; Android; MDLC
Tugas guru agama buddha dan orang tua dalam meningkatkan kecerdasan spiritual
Authors: Sularto Sularto , Hariyanto Hariyanto , Hatmono Prihadi Dwi
Published: February 2024

Tujuan penelitian ini menunjukan bahwa guru dan orangtua menanamkan motivasi, disiplin dan semangat belajar dalam meningkatkan kecerdasan spiritual pada siswa Buddhis, Kecamatan Sumowono, Kabupaten Semarang. Pendidikan, pendampingan dan perhatian guru agama Buddha dan orangtua berpengaruh terbentuknya kecerdasan spiritual keagamaan siswa. Hal ini menunjukkan bahwa guru agama Buddha dan orangtua memiliki tugas meningkatkan kecerdasan spiritual keagamaan siswa. Dalam membentuk kecerdasan spiritual ada faktor pendukung berupa motivasi, siswa aktif mengikuti perlombaan keagamaan yang diadakan di sekolah maupun di luar sekolah. Faktor penghambat misalnya siswa malas contonya sering bermain game di  HP (HandPhone) sehingga sulit untuk diarahkan.
ANALISIS KEBIJAKAN KURIKULUM MERDEKA MELALUI IMPLEMENTASI PROYEK PENGUATAN PROFIL PELAJAR PANCASILA DI SD NEGERI 1 WONOBOYO
Authors: Ratnasari Tri
Published: February 2024

Abstrak

 Penerapan Proyek Penguatan Profil Pelajar Pancasila (P5) sebagai salah satu fokus dalam kurikulum merdeka belum sepenuhnya terlaksana. Penelitian ini bertujuan untuk menganalisis kebijakan kurikulum merdeka melalui implementasi (P5) di Sekolah Dasar (SD). Pendekatan deskriptif kualitatif digunakan untuk menggambarkan berbagai fenomena dan kejadian dalam penelitian ini. Subyek penelitian diambil dari 34 siswa kelas IV dan 3 informan yang terdiri dari kepala sekolah dan 2 guru kelas yang sudah menerapkan kurikulum merdeka di SD. Data penelitian yang dikumpulkan melalui observasi, wawancara, dan dokumentasi dideskripsikan. Hasil penelitian menunjukkan bahwa pelaksanaan P5 melalui tema kewirausahaan dapat membantu siswa mengembangkan kompetensi dan karakter profil pelajar pancasila yaitu beriman, bertakwa kepada Tuhan Yang Maha Esa, dan berakhlak mulia, berkebhinekaan global, bergotong royong, mandiri, bernalar kritis, dan kreatif. Dengan demikian dapat disimpulkan bahwa P5 merupakan kegiatan kokurikuler berbasis proyek yang dirancang untuk memperkuat kompetensi dan karakter siswa sesuai dengan profil pelajar pancasila dalam kurikulum merdeka.

Kata kunci:  Kurikulum Merdeka, Proyek Penguatan Profil Pelajar Pancasila, sekolah dasar
PENGARUH PEMBELAJARAN DARING SELAMA PANDEMI COVID-19 TERHADAP TINGKAT PEMAHAMAN PESERTA DIDIK BERAGAMA BUDDHA DI SEKOLAH MENENGAH PERTAMA KABUPATEN SEMARANG
Authors: Ariyanti Eka
Published: February 2024

The aims of study are: (1) to know how much the influences of online learning during covid-19 pandemic on the level of Buddhist students’ understanding in Junior High Schools (SMP) Semarang Regency. (2) to explain the influences of online learning during covid-19 pandemic on the level of Buddhist students’ in Semarang Regency Junior High Schools (SMP). This research was a quantitative study through a correlation approach. It carried out in Semarang Regency Junior High Schools (SMP) in April-June 2021. The populations of this study were 125 students, while the samples were 60 students. Techniques of collection the data was use questionnaire. It was used to measure variable of online learninga and the level of students’ understanding. The questionnaire given has been through testing validity and reliability. The technique of analysis data was used simple linear regression analysis through SPSS 16 program. The results of this study showed that there is are influencess of online learning during covid-19 pandemic on the level of Buddhist students’ understanding in Junior High School (SMP) Semarang Regency in the amount of 0,641 and whwn viewed from R square obtained is 29%. The influencess of online learning has affects to the level of Buddhist students’ understanding in Junior High School (SMP) Semarang Regency is positive and signifikan value  through the results of simple linear regression test show that the correlation coefficient 0.541 is positive.
PENERAPAN MEDIA AUDIO VISUAL PADA MATERI PENJUMLAHAN KELAS 2 DI SDN 3 WONOBOYO
Authors: Saputra Rizki Eka
Published: February 2024

Mathematics as a field of study taught in formal education institutions is an important part of efforts to improve the quality of education. Media is a tool for conveying internal information about the learning process, use of media, learning objectives that are expected to be more easily achieved compared to what was planned to be achieved previously. Audiovisual media is media that contains sound components and audio images. The type of research used is a qualitative research method. Here the researcher used a direct survey to make observations by interviewing one of the teachers by asking several questions regarding video-based audio-visual media for teaching mathematics for class 2 addition material at SDN 3 Wonoboyo so that the researcher could immediately get precise and accurate information. results. answers and results. By applying audio-visual media to class 2 addition material at SDN 3 Wonoboyo, it is able to increase students' enthusiasm for learning mathematics. Apart from that, the application of audio-visual media in addition to material can improve student learning outcomes.
Peran Pendidikan Dasar dalam Pembentukan Dasar Kemampuan Anak di SD Negeri 6 Wonogiri
Authors: Priska Dinanti Putri Hana
Published: February 2024

This article discusses the role of basic education in forming the basis of children's abilities. Primary education is an important foundation in children's development, influencing their intellectual, social and emotional skills. In this article, we explore how elementary education can help children develop cognitive abilities, interpersonal skills, and moral understanding. We also discuss factors that influence the effectiveness of basic education in shaping children's abilities, such as teaching methods, school environment, and the role of teachers. Additionally, we present empirical evidence supporting the importance of investing in basic education for the future of children and society as a whole.
PENERAPAN KEDISIPLINAN KARAKTER MELALUI KEGIATAN PEMBIASAAN SISWA SD NEGERI 7 WONOGIRI
Authors: Setiawan Anjar
Published: February 2024

Penelitian ini bertujuan untuk mendreskipsikan bagaimana penerapan kedisiplinan karakter melalui kegiatan pembiasaan siswa SDN 7 Wonogiri. Metode penelitian yang digunakan adalah metode kualitatif, dimana dalam penelitian ini Teknik pengumpulan data yang digunakan meliputi observasi, dokumentasi dan wawancara. Penelitian ini dilaksanakan di SDN 7 Wonogiri. Hasil penelitian menunjukan bahwa penerapan kedisiplinan karakter melalui kegiatan pembiasaan siswa SDN 7 wonogiri telah berjalan dengan baik, kegiatan ini dilakukan dengan adanya upacara bendera di hari senin, kegiatan pembiasaan pagi di setiap harinya, menyanyikan lagu daerah setelah kelas selesai, sholat dhuhur berjamaah di mushola sekolah, semua kegiatan tersebut dilakukan oleh pihak sekolah melalui metode pembiasaan.
Cervical cancer and the SUS: Impact of the HPV vaccination campaign on cervical cancer treatment
Authors: Barbosa Filho Roberto Alexandre Alves , Nascimento Whendel Mesquita do , Astolfi-Filho Spartaco , Oliveira Cíntia Mara Costa de
Published: February 2024

Cervical cancer (or cervical cancer) has been among the top five causes of cancer mortality in women worldwide and HPV infection is considered a necessary condition for the development of more than 90% of cervical cancer cases. of the uterus. The SUS provides treatments for malignant neoplasia of the cervix and, since 2014, has also provided tetravalent vaccines (against HPVs 6, 11, 16, and 18) and bivalent vaccines (against HPVs 16 and 18), as well as medications to treat anogenital warts. and cervical injuries. The objective of this work was to analyze the impact of the quadrivalent HPV vaccine on the services offered by the SUS for the treatment of cervical cancer. It was possible to observe a statistically significant relationship between the doses of the female HPV vaccine applied and the variations in treatments performed and also in the recorded diagnoses of malignant neoplasia of the cervix.
Biofuels and energy transition policy in Brazil: contributions, limits and possibilities given the need for climate justice in the Capitalocene
Authors: Assis Nery dos Santos de , Borges Alexandre Walmott , Squeff Tatiana de Almeida F. R. C.
Published: February 2024

The article aims to discuss about the climate change has imposed a new agenda in the scope of international relations, bringing to regulation the need for reconciliation between different fields of knowledge, such as law, study of energy, issues of an economic, political and social nature, with multiple interests, agendas, demands that need to be modulated, not in favor of immediate interests, but of future generations. In this way, based on the concepts of climate justice and energy transition, the work seeks to analyze the role of biofuels within the Brazilian energy transition strategy. It was presented how the Capitalocene is responsible for an unprecedented crisis that threatens the existence of life on the planet. It was highlighted that technologies need to be more than sustainable, as it is no longer enough to be renewable, they also need to have low CO2 emissions, to be able to break the catastrophic future that lies ahead. In this context, Brazilian biofuels such as ethanol and biodiesel stand out in comparison to the array of electric engines in the reorganization of the fleet of light and cargo vehicles, in the definition of transition policy.
Annihilating Space
Authors: Ingrassia Brian M.
Published: February 2024

Auto racing is a technoscientific sport that represents key aspects of sport's broader cultural significance. In the early-1900s era of urbanization and industrialization, motor sport was the activity by which a modern desire to use infrastructure and transportation technology to bring people and places closer together was transformed into exchange value. Via racing, in other words, the apparent annihilation of space was commodified and became sport. This article uses insights of intellectual and cultural history to explore motor sport, especially as carried out at the Indianapolis Motor Speedway, as a societal ritual signifying deeper shifts in spatial and temporal relations. Indianapolis's iconic 500-mile races were inaugurated by auto-parts mogul Carl Graham Fisher, a contemporary of Henry Ford who might be seen as a Gramsci-style organic intellectual who was an influential thinker despite his nonacademic background. By examining auto racing as a representational and commodified activity that incorporates yet also transcends human physicality, historians gain a greater understanding of sport's essential role within modern society.
The Rise of Ping-Pong as a Sport in France (1932–1933)
Authors: Mousset Kilian , Renaud Jean-Nicolas , Vivier Christian
Published: February 2024

Following the 1929 stock market crash, the “fashionable” sport of ping-pong in France took advantage of the European crisis and international restructuring to recruit foreign players and promote the image of table tennis as a legitimate sport. During a period in which hygiene and eugenics were promoted through the practice of collective and orderly gymnastics, table tennis was a driving force behind a shift in French physical culture. Modern representations of sport are analyzed through the corporal values conveyed (speed and sweat), which contributed to the adoption of a more energetic lifestyle that was still uncommon in French physical culture. Moreover, the transformation of ping-pong into a sport between 1932 and 1933 was also visible in the display of the standardization of its equipment, the work of the written press, and manufacturers and retailers, even if the latter sometimes used it as a simple promotional technique.
De epilepsie doorbraakagenda volgens de hele epilepsie community
Authors: Kishun Shah , Van Tongeren Marcus , Jenniskens Desirée , Talhaoui Souhailla , Kzawi Hanin , Koning Marco , M’Rabet Laura
Published: February 2024

Medisch onderzoek heeft als doel het verbeteren van de kwaliteit van leven van ervaringsdeskundigen (patiënten en hun naasten). Daarvoor is het cruciaal om te weten welke veranderingen de ervaringsdeskundigen zelf graag zouden zien. Wij hebben samen met de hele epilepsie community - mensen met epilepsie, hun naasten, artsen en onderzoekers - in kaart gebracht welk onderzoek nodig is om te zorgen voor de gewenste veranderingen.
Sentiment analysis in online education: An analytical approach and application
Authors: Lin Fangyuan
Published: February 2024

This paper presents a groundbreaking approach to the application of sentiment analysis within the domain of online education. By introducing an innovative methodology, the aim is to streamline the process of automatically evaluating sentiments and extracting opinions from the vast sea of content produced by learners during their online interactions. This not only aids educators in swiftly gauging the general mood and perspective of their student body, but also allows them to delve deeper into the nuanced feedback provided, thus ensuring the continual improvement of course quality. In an era where digital learning platforms are growing exponentially, understanding students' attitudes, concerns, and overall satisfaction is paramount. Our methodology, therefore, is not just a technical advancement, but also a strategic tool for educational institutions aiming to thrive in the digital age. The current research landscape, while expansive, has often overlooked the significance of real-time sentiment analysis in e-learning environments. This study, therefore, bridges an important gap, bringing to the forefront the importance of harnessing student feedback in a digital format, allowing educators to tailor their approach for optimal student engagement and success.
Vehicle detection and tracking in intelligent transportation systems based deep learning
Authors: Chen Jiongxiang
Published: February 2024

This research paper focuses on the advancements and optimizations made to fundamental object detection algorithms in vehicle detection. The study explores integrating and reusing CNN (Convolutional Neural Networks) models with other techniques to enhance performance. Three main models, namely Faster R-CNN (Faster Region-based Convolutional Neural Network), Improved SSD (Single Shot Multibox Detector), and YOLOv4 (You Only Look Once v4), are analyzed, showcasing their incremental improvements in accuracy and overall detection performance. However, the increased computational complexity and time demands are trade-offs. The study also presents EnsembleNet, a model combining Faster R-CNN and YOLOv5, which achieves higher average precision values. Another approach involves fusing edge features with CNN models, resulting in faster and more accurate vehicle recognition. The paper predicts future deep learning trends, emphasizing the need for improved hardware capabilities to handle complex models. Integrating deep learning with sensor fusion and edge computing holds promise for intelligent transportation systems.
Deep learning applications in MRI for brain tumor detection and image segmentation
Authors: Zhou Jingyi
Published: February 2024

Deep learning holds great potential in the field of MRI applications. By leveraging its advanced algorithms and neural networks, it can effectively analyze and interpret intricate patterns in medical images, aiding in precise disease detection, segmentation, and classification. Integrating deep learning techniques with MRI technology is expected to revolutionize radiology practice, facilitating enhanced diagnostic accuracy and customized treatment strategies, ultimately leading to improved patient outcomes. This article provides an overview of of the latest advancements in deep learning techniques applied to magnetic resonance imaging, specifically focusing on brain tumor detection and segmentation. The study examines eight different deep learning methods, including a multi-scale convolutional neural network, U-Net-based fully convolutional networks, cascaded anisotropic convolutional neural networks, missing modality-based tumor segmentation, Hough-CNN for deep brain region segmentation, k-Space deep learning for accelerated MRI, Multi-level Kronecker Convolutional Neural Network, and a heuristic approach for clinical brain tumor segmentation. Each method is analyzed, highlighting its specific techniques, advantages, and limitations. The comparative performance of these methods in terms of accuracy and efficiency, addressing key factors such as computational requirements, training time, and robustness, was discussed in this article. By assessing the merits and limitations of different approaches, this review seeks to offer valuable perspectives on effective utilization of deep learning techniques in clinical MRI settings for detecting and delineating brain tumors.
Data correlation and causal analysis for traffic flow prediction
Authors: Lan Ge
Published: February 2024

Globally, traffic congestion has become a major issue due to several issues, including the rapid urban population increase, deteriorating infrastructure, improper and disorganized traffic signal timing, and a lack of real-time data. According to INRIX, a well-known provider of traffic data and analytics, the effects of this problem on U.S. travelers in 2017 were astronomical, totaling $305 billion in wasted fuel, lost time, and increased transportation costs in congested locations. Given the limitations of building new roads, communities must investigate cutting-edge tactics and technology to ease traffic while taking practical and economical restraints into account. This study employs the Granger causality test on a dataset of 48,120 entries, primarily focusing on the variables: number of VEHICLEs and number of intersection JUNCTIONs. The objective is to ascertain the potential mutual influence between these two variables. Initial results indicate a two-way Granger-causality between the variables, implying a feedback relationship. This discovery is fundamental in understanding traffic data dynamics and could be instrumental in enhancing traffic data prediction models.
Converting graphs to ASCII art with convolutional neural network
Authors: Li Jiongyi
Published: February 2024

In an era marked by data's rapid proliferation, novel data representation and analysis methods have become increasingly significant. However, translating complex graphical structures into character-based representations remains a largely unexplored territory. This problem holds considerable importance due to its potential applications in fields like data compression and the development of innovative graphical interfaces. This study seeks to address this gap by proposing a unique methodology that uses a Convolutional Neural Network (CNN) model to translate graphical images into corresponding character arrangements. The approach involves preprocessing graphical inputs using edge detection techniques, slicing the pre-processed graph into specific columns, and feeding the resulting slices into the trained Convolutional Neural Network (CNN) model for character prediction. I interpret the SoftMax output of the model to determine the most probable character for each slice. The results indicate that the granularity of slicing impacts the accuracy of the generated character-laden graph, with higher granularity producing more precise translations. This finding demonstrates the model's ability to effectively translate graphical data into character-based representations, offering promising prospects for future study in this domain.
A review-based approach to user profiling
Authors: Wu Yudi
Published: February 2024

With the popularity of social media, sentiment analysis and text categorisation by analysing the information people post online has become an effective method to study personality prediction. This paper focuses on how to use a personality prediction model based on Bidirectional LSTM for personality prediction. Accurate personality prediction results can provide personalised recommendation services for individuals, which has certain commercial value. In this paper, the dataset of Kaggle is first preprocessed, and then the Bidirectional LSTM model is constructed and the hyperparameters are set.The processed data are then put into the model for training and testing. Finally, the above steps are repeated using other different machine learning models. After comparison experiments with other common machine learning models, it was found that the Bidirectional LSTM model showed significant advantages in the personality prediction task, and its accuracy reached 93.5%, which was significantly higher than the traditional machine learning model.
The future prospects of deep learning and neural networks: Artificial intelligence's impact on education
Authors: Yu Peiran
Published: February 2024

Artificial Intelligence (AI) has transformed a variety of areas, and education is no exception. With the development of deep learning and neural network, AI is poised to change the way people teach and learn. This paper explores the future prospects of deep learning and neural networks in education, highlighting the potential benefits and challenges they may bring. AI technologies, like deep learning algorithms and neural networks, have the potential to transform education through customized learning experiences, intelligent tutoring, streamlining administrative duties, and facilitating data-based decision making. Enhanced personalized learning helps students to learn at their own pace and in their preferred style, smart tutoring systems offer personalized guidance and support. Automation of administrative tasks increases efficiency and accuracy, while data-driven decision making helps educators make informed choices about students' outcomes. However, the implementation of AI in education poses challenges such as data privacy, equity, and the preservation of the teacher-student relationship. Efforts should be made to address these challenges and fully harness the potential of deep learning and neural networks in education.
Accurate and efficient galaxy classification based on mobile vision transformer
Authors: Tan Xinrui
Published: February 2024

Understanding the formation and evolution of galaxies in observational cosmology heavily relies on galaxy morphological classification. Nevertheless, the continuously growing volume of astronomical data has surpassed human capacity for manual classification. In this context, deep learning presents a promising approach to enhancing classifying galaxies. In this paper, the Mobile Vision Transformer (MobileViT) is introduced to construct an efficient and accurate galaxy classifier. Transfer learning is introduced to assist in model fine-tuning. MobileViT combines the features of MobileNet and Visual Transformer (ViT). A lightweight model is used to effectively analyse the relationships between sequences for efficient and accurate classification. Experiments are built on Galaxy10 DECals dataset. Excellent performance is achieved in identifying galaxy types compared to other lightweight models. The model achieves an accuracy of over 87% and maintains a high speed of inference of less than 50 milliseconds per step. Experimental results show that the introduction of MobileViT is the best solution for efficient galaxy classification. The model can be deployed on any portable device for instant observation and classification.
Improved artificial potential field method for mobile robot path planning
Authors: Tao Shuo
Published: February 2024

Path planning has already been used in areas like robots and unmanned vehicles to prevent collisions in certain environments. A Path planning algorithm is needed to achieve such tasks and Artificial Potential Field (APF) method is one of the methods. However, APF has limitations facing various situations like being stuck in a local minimum such as a dead-end or a narrow path. To solve the problem, First, a side force is added to the algorithm along with two types of definitions of the force direction. Then a variable is proposed to prevent the dead-end situation. Finally, the variable step size is used to improve the efficiency of the algorithm. The simulation results demonstrate the effectiveness of the method. In comparison to APF, the improved APF could prevent the local minimum and reach the target position with fewer processing steps and better performance.
Algorithmic implementation and optimisation of path planning
Authors: Chen Junchi
Published: February 2024

Path planning algorithms are widely used in the fields of robotics and robotic arms, unmanned devices, automatic navigation, etc., and are an important technical basis for promoting the development of automation as well as the popularisation of artificial intelligence technology. This paper will briefly introduce various path planning algorithms implemented by mathematical models or inspired by biological features or genetics from the aspects of geometric search algorithms, intelligent search algorithms, artificial intelligence algorithms, and hybrid algorithms, including the characteristics, advantages and disadvantages, and important improvements of typical path planning algorithms as well as hybrid algorithms which are made by imitating and improving each other of several algorithms. Meanwhile, the development trend of path planning algorithms is also summarised, and the outlook of its development is made to provide reference for related fields.
Path planning method for unmanned aerial vehicles
Authors: Guan Wenkai
Published: February 2024

Unmanned aerial vehicles, commonly known as drones, have seen tremendous growth and wide-spread use in the last ten years, largely because of unheard-of technological improvements. It is currently one of the most significant study subjects since it involves many different areas of robotics and control systems. This study aims to thoroughly assess the most popular approaches for unmanned aerial vehicle path planning, while also outlining their benefits, drawbacks, potential uses, and overall effectiveness. The objective is to present the academic community with a summary of the existing environment and the development direction of future unmanned aerial vehicle path planning algorithms to encourage more research for quickly evolving planning of intelligent systems.
Enhancing a star algorithm for robot path planning
Authors: Zhang Xuanming
Published: February 2024

This paper describes the importance of robot path planning in artificial intelligence and control theory, and proposes three improvements to the A-algorithm: bi-directional A-search, improved heuristic functions and pruning strategies. The performance of the different algorithms in terms of computation time, path length and number of nodes is compared through experiments. Moreover, it is emphasised in the article that in practical applications suitable algorithms and their improvements are selected according to the characteristics of the specific problem and reasonable evaluation criteria are used to measure the performance of the algorithms.