bluuebunny/crossref_metadata_2025 huggingface dataset:
PERAN GURU DALAM MENANAMKAN KEMAMPUAN EMPATI PADA ANAK USIA 5-6 TAHUN DI TK SANTA MARIA SINTANG
Authors: Fransiska Fransiska , Suryameng Suryameng , Sumiati Yuliana
Published: December 2023

The aims of this study were to describe: 1) The teacher’s role in instilling empathy in children aged 5-6. 2) Factors that influence in instilling empathy abilities in children aged 5-6, 3) The efforts of teachers in instilling empathy abilities in children aged 5-6. This study uses a qualitative approach with a descriptive form. Data collection techniques used were observation, interview, and document. The subjects in this study consisted of one teacher and nine students of B1 class. The data analysis technique used was Miles and Huberman's data analysis. The results of the study show that: 1) The teacher's role in instilling the ability of empathy in children aged 5-6 has been mastered by students, namely being able to empathize, being a role model, understanding children's negative emotions, revising apologizing, increasing patience, avoiding punishment, and finally fulfilling basic needs of children. 2) Factors that influence in instilling the ability to empathize in children aged 5-6, namely the state of the individual, problems in the process of development and the environment. 3) The teacher's efforts in instilling the ability of empathy for children aged 5-6, namely the teacher used the storytelling method, the lecture method, and the habituation method. The role of the teacher in instilling this empathy ability can occur because interaction, socialization, and provision of positive habituation and the right stimulus through learning methods at school so that the empathic abilities of children aged 5-6 can be well embedded.
PENGEMBANGAN EVALUASI BERBASIS DIGITAL MELALUI WEB WORDWALL PADA PESERTA DIDIK KELAS V SEKOLAH DASAR
Authors: Kirotul Umah Ida Muza , Yandari Indhira Asih Vivi , Hakim Zerry Rahman
Published: December 2023

This research aims to determine the feasibility and response of students to evaluation of digital-based learning via web wordwall for class V students. The research method used is Research and Development (R&D) based on the Borg and Gall development design which has been modified into six stages, namely : analysis of potential and problems; data collection; product design; design validation; design revision; and test use. Based on the results of the analysis, media experts gave an average score of 84%, material experts gave an average score of 86% and language experts gave an average score of 81%. The average score obtained by all experts was 83.83% when interpreted as falling within the very appropriate criteria. Furthermore, supported by the calculation of the response questionnaire, students who carried out the evaluation obtained 96% results in the very good category. Thus, it can be concluded that the digital-based learning evaluation development product via the wordwall web is very feasible and very good to use as an evaluation tool in assisting the learning activities of fifth grade elementary school students.
PROJECT AND LITERACY WEEK SEBAGAI ASESMEN SUMATIF DALAM PELAKSANAAN KURIKULUM MERDEKA DI SEKOLAH KREATIF SD MUHAMMADIYAH 16 SURABAYA
Authors: Mahmudi Ahmad , Mirnawati Lilik Binti , Setiawan Fajar
Published: December 2023

Implementation of the Kurikulum Merdeka, periodic assessments are needed to determine the progress of student learning outcomes. In order to be interesting and still in accordance with the mandate of the Kurikulum Merdeka by providing fun learning, Project and Literacy Week is used as a form of summative assessment activity. The purpose of this summative assessment is to explain the forms, instruments, implementation procedures, and student work from the Project and Literacy Week activities at the Sekolah Kreatif SD Muhammadiyah 16 Surabaya. Qualitative descriptive is the method used with data collection techniques in the form of documentation. Research shows that (1) the form of assessment is a combination of tests and non-tests in order to be able to measure cognitive, affective, and psychomotor aspects; (2) the assessment instrument uses a rubric with a weighting technique that adjusts the assessment aspects according to each subject; (3) the procedure for implementing the assessment is carried out for a week. In practice, the teacher gives instructions and guides the project work technique; (4) the students' work from the Project and Literacy Week activities looks more creative and students are enthusiastic and happy during the process. Project and Literacy Week assesses cognitive, affective and psychomotor aspects. Further development of a similar Assessment to support the implementation of the Kurikulum Merdeka.
ANALISIS NILAI PENDIDIKAN KARAKTER MELALUI PROGRAM SHALAT DHUHA DAN LITERASI SEKOLAH DI KELAS II B SD ISLAM TERPADU BUAH HATI SINTANG
Authors: Wibowo Dwi Cahyadi , Suryadi Tedi , Miftahuda Felisa
Published: December 2023

This study aims to describe the Value of Character Education Through the Dhuha Prayer Program and School Literacy in Class II B of the Buah Hati Sintang Integrated Islamic Elementary School in the 2022/2023 Academic Year, Sintang District, Sintang District. The method used in this research is descriptive method with a qualitative approach. Data collection tools in the form of field notes, interview sheets, questionnaire sheets, observation sheets and documentation. The results of this study are the implementation of the Dhuha prayer habituation program at the Buah Hati Sintang Integrated Islamic Elementary School which is carried out continuously every day. Duha prayer is carried out in congregation and independently. The implementation of the school literacy movement in shaping student character with class-based activities, school culture-based activities and community-based activities, the value of character education through the Dhuha prayer program and school literacy in class II B of the Buah Hati Sintang Integrated Islamic Elementary School is very good, what do the teachers do? taught is ingrained in the mindset of students. The conclusion is that the cultivation of student character values through the Dhuha prayer program and school literacy in class II B is very good, teachers also apply character values such as being religious, fond of reading, honest, disciplined, tolerant, loving peace and social care. Factors supporting the implementation of Duha prayer and school literacy are facilities and infrastructure, cooperation between teachers and staff. The inhibiting factors are the lack of a place for Duha prayer and a library, and the weather is uncertain. Efforts made by the teacher are habituation, giving examples, role models, awareness, supervision.
PENGARUH PERHATIAN DAN MOTIVASI ORANG TUA TERHADAP PRESTASI BELAJAR MATEMATIKA SISWA KELAS IV SEKOLAH DASAR
Authors: Desinta Maria , Asrori Asrori , Priyadi Antonius Totok , Djudin Tomo , Purwaningsih Endang
Published: December 2023

This research aims to determine the influence of parental attention and motivation on the mathematics learning achievement of grade IV students at SD Suster Pontianak. The research was carried out using a quantitative approach, in the form of a comparative study. The population in this study was 105 grade IV students at Suster Singkawang Elementary School with a sample of 32 students. The data collection tool used was a questionnaire to determine parental attention and motivation, as well as report cards for mathematics subjects. Based on data analysis, it was found that parental attention received a score with an average of 77.4 in the medium category, parental motivation received an average score of 64.2 in the medium category and student learning achievement with an average of 79.3 in the medium category; parental attention and parental motivation partially influence the learning achievement of fourth grade students at the Pontianak Sisters Private Elementary School; and parental attention and parental motivation simultaneously influence the learning achievement of fourth grade students at the Pontianak Sister Private Elementary School as proven by the results of ANOVA analysis with a significance of 0.000 <0.05. It can be concluded that parental attention and motivation have an influence on the mathematics learning achievement of grade IV students at Suster Pontianak Elementary School.
ANALISIS KEBUTUHAN PENGEMBANGAN VIDEO INTERAKTIF BERPADUKAN METODE BLENDED LEARNING MATERI MENULIS CERPEN SEKOLAH DASAR
Authors: Dini Rusfi Rama , Sumarni Sri , Oktarina Santi
Published: December 2023

This research was conducted with the aim of analyzing students' needs for interactive video learning media combined with blended learning methods for short story writing material. In this research, the subjects chosen were 30 students from class V of the 148 Palembang state elementary schools. The data analysis techniques used are interview observations and questionnaires consisting of a student needs analysis questionnaire which covers aspects of learning needs, learning media needs and material understanding needs. Based on the results of the questionnaire, 66.7% of students strongly agreed that video media was used in learning to write short stories rather than theme books. further based on the results of the questionnaire regarding whether the teacher has carried out short story writing lessons blended learning Of the students' opinion, 60% disagree and 6.7% strongly agree. So from the results of the research that has been carried out it can be concluded pStudents really need interactive video learning media so that they can support a flexible learning process that can be studied anywhere, especially in short story writing material with the aim of making it easier for students to understand the material being taught in accordance with the objectives to be achieved so as to improve learning outcomes.
Pendidikan Islam Transformatif dalam Kurikulum Merdeka Belajar Era
Authors: Umairah Saidati Jannati
Published: December 2023

The aim of this research is to explain transformative Islamic education in Merdeka curriculum era 5.0. The method used in this research is a literature review study, with several research stages, namely collecting data related to discussions from articles and books, as well as analyzing the data and then discussing and concluding. Based on research results, Transformative Islamic Education has an important role in facing the 5.0 era. Transformative Islamic education emphasizes that students consistently carry out activities that lead to more advanced change and encourage creativity in carrying out the mission of making Islam a religion that is rahmatan lil alamin. The concept of Merdeka Belajar promoted in Merdeka curriculum allows students to understand every learning material, including PAI material. Merdeka curriculum currently implemented is in accordance with the concept of transformative Islamic education. Educator are also required to master technology in facing this 5.0 era. Therefore, it is hoped that by applying the values of transformative Islamic education to Merdeka curriculum, we will be able to overcome the negative impacts of the 5.0 era.
Pencegahan Karies Gigi Dengan Aplikasi Art (Atraumatic Restorative Treatment) Pada Gigi Molar Pertama Permanent Di Sdn Kurau Kabupaten Tanah Laut Propinsi Kalimantan Selatan
Authors: Kisworo Utami Naning , Amperawati2 Metty , Salamah Siti , Rahmawati Ida , Nuryati Sri , Elman Efzi Agno , Nisa Hilwatun , Yusril Pratama Muhammad
Published: December 2023

ABSTRAK
Berdasarkan  riwayat karies serta white spot lesi karies diketahui sebagai indikator  terbaik dalam  penentuan perkembangan  karies. Namun, indikator tersebut tidak dapat mencapai target ketepatan sekitar 80%. Karies atau gigi berlubang adalah permasalahan yang sering dijumpai di rongga mulut. Sesuai data global WHO (2000) menunjukkan 60-90% anak-anak sekolah di negara industri memiliki gigi berlubang. Berdasarkan hasil Riskesdas tahun 2007 di propinsi  Kalimantan Selatan  persentase penduduk yang bermasalah gigi dan mulutnya menunjukkan angka 29,2%. Kegiatan ini bertujuan mengindentifikasi def-t, DMF-T, melakukan promotif, preventif dan kuratif, yaitu dengan penyuluhan, sikat gigi massal dan aplikasi penambalan dengan penambalan ART pada gigi molar pertama permanent pada murid-murid di SDN Kurau Kabupaten Tanah Laut Propinsi Kalimantan Selatan. Sasaran pengabdian masyarakat sebanyak 100 murid. Akan tetapi murid yang hadir hanya 44 murid dan 12 orang tua. Hasil pemeriksaan   def-t didapatkan angka d=decay atau karies gigi sebanyak 165, e=ekstraksi atau gigi yang  tidak bisa dirawat 97 gigi dan f= tambalan adalah 0, sehingga jumlah def-t sebanyak 350 gigi dengan  rata- rata 7,98. Sedangkan DMF-T sebanyak 80 gigi dengan rata-rata 1, 82. Angka karies gigi sulung dan permanent tinggi, yaitu setiap anak mempuyai 7-8 lubang gigi untuk gigi sulung sedangan untuk gigi permanent mempunyai lubang gigi 2. Restorasi dengan bahan ART yang dapat dilakukan sebanyak 72 gigi. Dan 2 bulan kemudian dilakukan evaluasi diperoleh hasil 68 gigi masih bertahan dengan tambalan ARTnya sedang 4 gigi sudah lepas ada kemungkinan belum 1 jam gigi tersebut sudah dibuat untuk makan, sehingga tambalan ART belum keras dengan sempurna. Kenyataan yang ditemu  dilapangan  bahwa karies gigi pada gigi sulung dan gigi permanent masih sangat tinggi yaitu 143 gigi dan 80 gigi  pada murid-murid SDN Kurau Kabupaten Tanah Laut dan tindakan yang dapat dilakukan dengan restorasi ART pada gigi molar pertama permanent dan dilakukan rujukan ke puskesmas atau rumah sakit dilakukan perawatan pulpa dan pencabutan gigi. Disarankan untuk dilakukan perawatan pada gigi yang masih bisa dilakukan perawatan yaitu kerjasama guru (pihak sekolah), orang tua dengan pihak Puskesmas.
Kata Kunci:  Karies Gigi Molar Pertama Permanent, Pencegahan,  Restorasi ART
UPAYA PENINGKATAN KAPASITAS IBU DALAM PELAKSANAAN IMUNISASI DI ERA NEW NORMAL DI KOTA BANJARBARU
Authors: Yuniarti Yuniarti , Rusmilawaty Rusmilawaty , Tunggal Tri
Published: December 2023

Imunisasi rutin yang dilakukan secara terus menerus dan berkesinambungan, terdiri dari imunisasi dasar dan lanjutan. Imunisasi dasar diberikan kepada bayi sebelum berusia 1 tahun. Tujuan  kegiatan ini untuk Meningkatan pemahaman dan pengetahuan ibu dan keluarga tentang imunisasi serta mengurangi kecemasan terhadap pelaksanaan imunisasi di era new normal. Khalayak Sasaran  adalah ibu bayi yang berumur 0-3 bulan sejumlah 75 orang.  Kegiatan tahap awal yang dilaksanakan adalah menyampaikan materi imunisasi pada bayi dan cara mengatasi kecemasan ibu di era new normal dengan metode ceramah, diskusi, tanya jawab secara langsung, dan  pemberian leaflet. Tahap Kedua melakukan pendampingan ibu dalam pelaksanaan pemberian imunisasi sebagai salah satu support dan  mengatasi kecemasan ibu di era new normal untuk membawa anaknya imunisasi. Dan pada tahap akhir kegiatan dilakukan evaluasi yang terdiri dari  Evaluasi setelah kegiatan pengabdian kepada masyarakat untuk mengetahui pemahaman sasaran tentang pemberian imunisasi dan cara mengatasi kecemasan ibu  yang dilakukan menggunakan kuesioner. Evaluasi kegiatan dilakukan setelah 1 bulan dan 3 bulan pelaksanaan kegiatan untuk mengetahui pencapaian imunisasi pada bayi di era new normal. Hasil Pada tahap awal dilakukan pretest tentang imunisasie, terdapat 34 Ibu (45,3%) dengan pengetahuan yang baik tentang imunisasi, 39 Ibu (52%) dengan pengetahuan cukup dan 2 Ibu (2,7%) memiliki pengetahuan yang kurang tentang imunisasi. Setelah 3 bulan masa pendampingan dan memberikan penyuluhan tampak pengetahuan ibu  meningkat. Pada pre test tingkat pengetahuan  ibu,  rata-rata 52% mempunyai  pengetahuan cukup tentang imunisasi. Sedangkan pada post-test pengetahuan ibu meningkat, menjadi 68 % dengan pengetahuan baik. Sehingga dapat disimpulkan bahwa pemahaman dan pengetahuan ibu tentang imunisasi meningkat dan kecemasan ibu berkurang dengan ibu memahami tentang prosedur pelaksanaan imunisasi di era new normal dan mau  membawa anaknya ke puskesmas untuk di imunisasi.
EDUKASI PERAWATAN LUKA PADA IBU POST OPERASI SEKSIO SEKSARIA DI WILAYAH KERJA PUSKESMAS MARABAHAN
Authors: Setiawati Erni , Rizani Ahmad , Mukhtar Muhammad
Published: December 2023

Seksio Seksaria merupalan suatu prosedur bedah untuk melahirkan janin dengan insisi melalui abdomen dan uterus. Seksio seksaria dilakukan ketika ibu dan janin dalam keadaan gawatdarurat dan hanya bisa diselamatkan dengan tindakan operasi.

Permasalahan Mitra dimana ibu yang post operasi seksio (SC) tidak berani/tidak paham cara melakukan Perawatan luka  post operasi SC secara mandiri, puskesmas jauh dari tempat tinggal ibu post SC, dan minimnya pengetahuan tentang Perawatan Luka post operas SC,  kader yang dekat dengan masyarakat juga tidak paham dan tidak berani melakukan perawatan luka post SC karena belum pernah diajarkan tentang perawatan luka operasi post SC. Perawatan luka dilakukan dengan tujuan menjaga luka tetap bersih, mencegah infeksi, dan membantu proses penyembuhan luka, serta meningkatkan kenyamanann fisik dan psikologis

Metode Pengabdian Masyarakat ini dilakukan dengan memberikan Edukasi kepada kader, ibu dan keluarga tentang perawatan luka operasi seksio seksaria dengan tahapan kegiatan yaitu persamaan persepsi dengan aparat yang terkait, pemberian materi dan pemutaran video tentang perawatan luka operasi seksio, mengedukasi  kader, ibu dan keluarga cara perawatan luka  post SC.

Luaran Pengabdian Masyarakat adalah Publikasi Ilmiah,meningkatnya pengetahuan  dan pemahaman dan ketrampilan kader dan ibu -ibu  tentang perawatan luka post SC ,ibu yang post SC bisa melakukan perawatan lukanya sendiri dirumah  dengan tehnik aseptik , Ibu dan keluarga mandiri dalam melakukan perawatan luka  post  SC, Pamlet , poster tentang perawatan luka post operasi SC
CARA MENCEGAH KERUSAKAN GIGI DAN PENANGGULANGAN GIGI BERLUBANG DALAM RANGKA MENINGKATKAN KUALITAS HIDUP
Authors: Kisworo Utami Naning , Amperawati Metty , Nurwati Bunga , Rahmawati Nur , Azzahra Irhaminnisa , Akbar Muhammad Fadhil
Published: December 2023

Kesehatan gigi dan mulut masih merupakan hal yang perlu diperhatikan, berdasarkan Riset Kesehatan Dasar (Riskesdas) tahun 2018 menunjukkan bahwa proporsi penduduk Indonesia yang memiliki  masalah karies gigi pada kelompok usia 5-9 tahun yaitu sebesar 92,6% dan usia 10-14 tahun sebesar 73,4%. Untuk prevalensi karies di provinsi Kalimantan Selatan sebesar 46,9 %.  Meskipun karies gigi merupakan penyakit yang harus bisa dicegah akan tetapi tetap menjadi penyakit kronis yang utama pada anak usia 6-11 tahun (25%) serta remaja usia 12-19 tahun (59%). Tujuan pengabdian masyarakat adalah melakukan: a) Penyuluhan cara menyikat gigi yang baik dan benar, b). pengukuran pH Saliva c). aplikasi triplak  d). kegiatan sikat massal, e). pemeriksaas OHI-S, f). Mengindentifikasi, DMF-T, dan g). penambalan ART pada anak-anak panti asuhan dan Siswa MTS Muhammadyah Martapura Kabupaten Banjar Propinsi  Propinsi Kalimantan Selatan. Sasaran pengabdian masyarakat anak panti asuhan dan siswa MTS Muhammadyah sejumlah 64 orang. Kegiatan meliputi promotive, preventif dan kuratif sederhana. Tempat, di panti asuhan putri dan MTS Muhammadyah Martapura Kabupaten Banjar Propinsi Propinsi Kalimantan Selatan. Alat dan bahan yang digunakan phantom gigi, alat diagnostik set, kapas, tissue, masker, sarung tangan, sabun, alkohol, nier beken, agate spatel, aqua gelas, sikat gigi dan pasta gigi, test paper Advantec/indikator pH saliva, mika cekung, Fuji IX, dan format pemeriksaan serta alat tulis menulis. Hasilpenyuluhan 90% anak-anak kurang tepat cara menyikat gigi, pengukuran pH saliva normal, Sebagian besar nampak plak pada permukaan giginya, pengukuran OHI-S= 1,52, dilakukan sikat gigi massal sesuai dengan penyuluhan, pemeriksaan diperoleh rata-rata angka DMF-T 4,03 dimana rata-rata anak memiliki lubang gigi 4  disetiap siswa diatas rata-rata angka DMF-T Nasional ≤ 1,  dan tidak bisa dilakukan penambalan karena lubang gigi yang cukup besar dan dalam. Kesimpulan rata-rata angka DMF-T tinggi, pH saliva normal dan OHI-S disarankan untuk melakukan perawatan gigi berlubang dan pembersihan karang gigi di puskesmas/RS sehingga proses kerusakan gigi tidak berlanjut.
PENCEGAHAN PENYAKIT GIGI MELALUI PENYULUHAN, KURATIF SEDERHANA DAN SIKAT GIGI SDN TUNGKARAN KABUPATEN BANJAR
Authors: Fansurna Anderi
Published: December 2023

Pengetahuan awal tentang kesehatan gigi dan mulut masyarakat berada pada rata-rata  55.60 (sedang) setelah dilakukan penyuluhan meningkat cukup signifikan menjadi rata-rata pengetahuan 66.63 (tinggi) (Syahputri et al., n.d.). Ketika dilakukan pemeriksaan pengalaman karies (DMF-T) dari 116 orang murid didapatkan angka rata-rata DMF-T adalah 2.32 (pada kategori sedang) setelah dilakukan tindakan perawatan maka dapat diturunkan angka karies menjadi 0.77 (kategori rendah), ketercapaian angka penurunan DMF-T dapat secara maksimal karena semua murid kooperatif sehingga gigi yang berlubang dapat dilakukan penambalan/tindakan sederhana. Usaha Kegiatan penurunan angka gigi berlubang/karies dari 180 kasus menjadi 0 kasus sebanyak 180 kasus yang dapat dilakukan penambalan sederhana (100%). Sedangkan  Performance Treatment Index (PTI)adalah pada kegiatan ini peningkatannya cukup signifikan  , dari 0 % menjadi 100% hal ini dikarenakan para murid kooperatif dan telah memahami cara memelihara kesehatan gigi yang baik dan benar

Kata Kunci: Pencegahan Penyakit Gigi dan Mulut
Hubungan Sikap Dan Konsumsi Junk Food Dengan Konsumsi Sayur Dan Buah Mahasiswa Jurusan Gizi (Studi Di Politeknik Kesehatan Kemenkes Banjarmasin)
Authors: Aziza Kamalia Noor , Farhat Yasir
Published: December 2023

Pemenuhan fisiologis remaja membutuhkan zat gizi yang cukup termasuk buah dan sayur. Namun, pola makan remaja saat ini telah mengalami pergeseran dimana remaja cenderung memilih makanan cepat saji seperti junk food yang banyak gula tambahan dan lemak dibandingkan dengan mengkonsumsi sayur dan buah. Seuai hasil Riset Kesehatan Dasar (Riskesdas) pada tahun 2018, mengenai proporsi konsumsi buah/sayur perhari dalam seminggu pada penduduk umur 5 tahun ke atas Kabupaten/Kota Provinsi Kalimantan Selatan, Kota Banjarbaru memiliki tingkat tidak konsumsi mencapai 11,79%,12 porsi dalam seminggu mencapai 78,96%, 3–4 porsi dalam seminggu mencapai 8,64%, dan lebih dari 5 porsi dalam seminggu mencapai 0,6%. Tujuan dari penelitian ini adalah untuk mengetahui hubungan sikap dan junk food terhadap tingkat konsumsi sayur dan buah mahasiswa Jurusan Gizi Poltekkes Banjarmasin. Jenis Penelitian ini adalah penelitian Observasional Analitik dengan pendekatan Cross Sectional. Populasi penelitian ini adalah mahasiswa jurusan gizi di Politeknik KesehatanKemenkes Banjarmasin yang telah menerima mata kuliah ilmu gizi dasar dan ilmu pangan berjumlah 294 orang. Pengambilan sampel menggunakan Teknik Simple Random Sampling sebanyak 83 orang. Penelitian ini dilakukan dengan menggunakan kuesioner online via whatsapp Google Form. Analisis data menggunakan uji korelasi Rank Spearman α=0,05. Hasil penelitian menunjukkan hasil uji hubungan menggunakan uji korelasi Rank Spearman didapatkan tidak ada hubungan yang bermakna antara sikap dan konsumsi sayur dan buah dan ada hubungan yang bermakna antara konsumsi junk food dan konsumsi sayur dan buah responden.

 

Kata Kunci: Sikap; Junk food; Sayur; Buah
Influence of lower limb muscle isometric strength and cardiovascular parameters on locomotor capacity in children and adolescents
Authors: Mendez-Rebolledo Guillermo , Guzman-Muñoz Eduardo , Valdés-Badilla Pablo , Ramirez-Campillo Rodrigo , Cruz-Montecinos Carlos , Núñez-Cortés Rodrigo , Cabrera-Aguilera Ignacio , Calatayud Joaquín
Published: December 2023

BACKGROUND: Although measures of exercise performance and physical activity are known to be related to 6-minute walk test (6mWT), the role of the strength of each muscle group of the lower limb in the locomotor capacity during the development period is unknown. OBJECTIVE: To identify the role of the isometric strength of lower limb muscles and cardiovascular parameters on the locomotor capacity in children and adolescents, controlling for participants sex, age, and height. METHODS: Participants (7 to 15 years old; female, n= 113; male, n= 128) were assessed for isometric strength (seven lower limb muscles), cardiovascular parameters (diastolic pressure, oxygen saturation, resting heart rate, respiratory rate), and 6mWT. Participants were split into nine age groups and separated by 1-year intervals. RESULTS: Hip flexors-controlled for sex, age, and height-explained a meaningful percentage of the variance (R=2 0.45; p< 0.001) for 6mWT distance, and the resting heart rate explained a change in R2 of only 2% (p= 0.008). CONCLUSIONS: Isometric strength of hip flexors explained ∼ 50% of the 6mWT distance, suggesting the importance of strength from an early age. Other factors, such as cardiovascular parameters, while relevant, may exert a secondary role on youth’s capacity.
Intelligent Association of CVE Vulnerabilities Based on Chain Reasoning
Authors: Sun Xin , Wang Zixiang
Published: December 2023

Vulnerability database data sources use semi-structured and unstructured data expression, which can provide convenience for researchers in vulnerability analysis and systematic study of vulnerability mechanism and vulnerability content. However, the traditional vulnerability database has some problems, such as weak correlation attribute, redundant data format and low visualization degree, which are difficult to be understood and analysed by machines. This paper proposes a CVE vulnerability intelligent association based on chain reasoning. By analysing the vulnerability description and the relationship between different vulnerability databases, investigating the software and systems affected by each vulnerability, linking relevant knowledge, inferring the hidden relationship of each vulnerability, building the relationship between the entity nodes of the vulnerability knowledge graph, and finally importing the data into the neo4j diagram database to build the vulnerability knowledge graph. By calculating the number of software associated with vulnerabilities, the CWE chain relationship is deduced, and the vulnerability knowledge graph constructed is used to conduct preliminary inference on the vulnerability scanning results, so as to obtain the hidden relationship between vulnerabilities and optimize the vulnerability scanning results.
The Research of the Relationship Between Artificial Intelligence and Human Brain
Authors: Xin Qiangwei
Published: December 2023

Artificial intelligence is a technology and method that utilizes computers and algorithms to simulate and implement human intelligence. It can learn and optimize through a large number of data and algorithms to achieve various intelligent tasks and functions, such as natural language processing, image recognition, intelligent decision-making, etc. Artificial intelligence technology has been widely applied in fields such as healthcare, finance, transportation, and manufacturing, becoming an important force driving economic and social development. Artificial intelligence is closely related to the human brain. This article analyzes the relationship between artificial intelligence and the human brain, including their connections and differences, imitation mechanisms, neural networks, and deep learning.
A Method for Anti-Leakage in Car Insurance Based on the Co-Occurrence Relationship Between Auto Parts
Authors: Jiang Jun , Yang Fengyu , Xiong Yu , Liu Longhui , Yang Xin
Published: December 2023

Car insurance fraud is a high-risk area in insurance and it accounts for as much as 80% of all insurance fraud, with a significant portion of it stemming from the risk of parts leakage. Current anti-leakage techniques in auto insurance mainly rely on the analysis of individual parts data such as vehicle accident records and parts damage lists, which neglects the consideration of the correlation among parts and leads to difficulty in identifying leaked parts effectively. This study proposes a method based on the co-occurrence relationship and density clustering of auto parts to detect parts leakage. In this research, an undisclosed dataset on car insurance fraud was utilized to conduct experiments, and the detection results of parts leakage were obtained. This method takes into account the correlation among auto parts, and possesses higher accuracy and practicality.
Design of Cylindrical Error Assessment Software Based on Genetic Algorithm
Authors: Zhang Zhiyong , Wang Shiqiang
Published: December 2023

Cylinder error detection of rotary parts is of great significance in the application of high precision end parts, and is an important component of the construction of national standard tolerance system. In view of the complexity and low efficiency of the cylindrical parts detection system, this paper designs a special evaluation software with the interface of GA genetic algorithm. Finally, the validity of the existing data of this design has very important practical value.
Study on the Demodulation of Artificial Intelligence Genetic Optimization Algorithm for Acoustic Telemetry While Drilling
Authors: Wang Wei , Yan Xianghong
Published: December 2023

In this paper, the artificial intelligence genetic optimization algorithm is introduced into the signal demodulation process of acoustic telemetry system while drilling for the first time. And the modulation and demodulation processes of binary amplitude keying and binary phase keying, which are common in the field of telemetry while drilling, were numerically simulated. The experimental results show that the artificial intelligence genetic optimization algorithm has a very strong adaptability to the demodulation of acoustic telemetry signal while drilling. Especially for the binary phase keying modulation mode, it has the advantages of strong anti-noise interference ability and high demodulation accuracy. Obviously, artificial intelligence genetic optimization algorithm is a very promising demodulation method for acoustic telemetry signal while drilling.
A Blockchain-Based Decentralized IoT Sensing as a Service Framework for Smart Supply Chain
Authors: Fu Chao , Zhang Shize , Peng Chao , Sun Meng , Yu Xiaohong , Li Yu , Huang Zhiqing
Published: December 2023

Smart supply chain services rely on the utilization of massive amount of data collected by sensor networks deployed in different enterprises. Sensing as a Service (S2aaS) is a promising Internet of Things (IoT) business model pattern for data exchange. The current centralized IoT S2aaS models are not suitable for IoT big data exchange due to the issues on privacy disclosure, single point of failure, data security, performance, etc. In this paper, we propose a blockchain-based decentralized framework for IoT S2aaS for smart supply chain, which can ensure the IoT solution owners have full control of their data and securely exchange data with data consumers without intermediaries. We introduce the system model and the layered architecture of our proposed framework, based on which we give a concrete scheme, smart contract is used to perform the whole process of IoT S2aaS. We implement a software prototype on Ethereum. Experiment results show the validity and effectiveness of our proposed solution.
Research on the Architecture of Radar Equipment Health Management System Based on Big Data
Authors: Sun Zhijian , Jiao Xiaoli , Deng Bin , Hu Xin
Published: December 2023

With the continuous improvement of radar performance and the increasing complexity, various information collection technologies and intelligent control technologies have been widely applied, and the reliability, fault diagnosis and prediction, as well as maintenance support of the entire radar system are receiving increasing attention. This article starts from the research on modern radar PHM requirements, and based on the application of big data in radar health management, proposes a radar equipment health management system architecture scheme based on big data. Finally, the relevant key technologies are analyzed.
Financial Time Series Forecasting Algorithm Based on Recurrent Neural Network
Authors: Qi Ruishuang , Dong Lili
Published: December 2023

A variation of recurrent neural networks (RNN) called the GRU neural network is suggested in order to address the long-term reliance of RNN network structure. GRU overcomes the long-term reliance of time series on the basis of inheriting RNN’s strong memory ability of time series. This research proposes a financial time series prediction model based on difference operation and GRU neural network with a focus on the reliance of financial time series data. It also applies GRU extension to financial time series prediction. The model can handle the complicated nonlinearity, nonstationarity, and series correlation properties of financial time series data. The experimental results show that the suggested scheme can improve the GRU neural network’s generalization capability and prediction accuracy. Additionally, when compared to the traditional prediction model, this model has a better prediction effect and a relatively lower calculation cost for financial time series. The experiment makes a prediction about the S&P 500 stock index’s modified closing price.
Optimisation of Enterprise Management Platforms Based on Big Data Virtual Technology Algorithms
Authors: Cao Aohan
Published: December 2023

In today’s society, the use of big data is the basis for the development of various intelligent systems. The construction of a digital operating platform for customer relationships is not only about restructuring and standardising and concretising the entire customer management process, but also about transforming the actual offline, paper-based, interpersonal relationships into a digital, integrated new form. In the whole process of restructuring and building, not only do we need the content of the platform to enhance and improve the enterprise’s customer management capabilities, but we also need to take into account many practical factors to ensure that the construction plan is feasible and can be implemented within the W enterprise, and is not a wood without a cause and a foundation without a foundation. This requires looking at existing technical support and market policies, as well as the company’s own financial capacity and risk measures, to determine the feasibility of the project. This paper is based on the basis of big data algorithms, research and analysis for enterprise management, supported by big data virtual algorithms for the management of enterprises, which brings a lot of intelligent operations for the development of enterprises, which is also a more innovative research in the development of enterprises.
Design of Music Heritage Database System Based on Collaborative Filtering Algorithm
Authors: Tian Lei , Liu Feng
Published: December 2023

In order to understand the design of music heritage database system, a research on the design of music heritage database system based on collaborative filtering algorithm is put forward. In this paper, firstly, collaborative filtering recommendation algorithm is studied, and users are recommended through two models that realize the algorithm, namely user-based collaborative filtering and item-based collaborative filtering. Finally, the recommendation effects of the two models are compared. Secondly, based on collaborative filtering, the content-based music recommendation algorithm is integrated, and a music recommendation system is designed. When the traditional collaborative filtering algorithm is used to recommend to users, some popular songs will affect the similarity calculation between users and between songs, resulting in poor recommendation effect. In this paper, the influence of popular songs on similarity calculation is reduced by punishing popular songs, and the accuracy of recommendation is improved by improving similarity calculation. Finally, the experimental results on the crawled Netease cloud music data show that the accuracy and recall of the hybrid recommendation algorithm are better than those based on collaborative filtering and content.
Data Flow Risk Monitoring for Novel Power System Based on Bidirectional Interactive Protocol Traffic
Authors: Sheng Jianqiao , Fang Yuan , Zhang Guannan , Ding Xin
Published: December 2023

In response to the challenges brought by the significant increase in data volume and the proprietary and closed nature of business protocols in the highly coordinated and interactive “source-network-load-storage” system of the new power grid, this study proposes a technology for analyzing abnormal behavior in bidirectional interactive protocols. A risk monitoring scheme for data flow is designed, incorporating both trigger detection and deep detection. The scheme proposes an improved cumulative sum algorithm (SSUM algorithm) for risk monitoring by real-time tracking of multidimensional sequences and their cumulative deviations based on statistical characteristics, achieving coarse-grained risk monitoring of the entire network flow. Then, time window features are introduced and the AdaBoost ensemble learning algorithm is used for fine-grained deep detection of abnormal traffic. Finally, the presence of data flow risk is determined. Experimental results show that the detection accuracy of the AdaBoost algorithm is better than that of other classification algorithms, reaching 97.7%. The joint monitoring scheme has the advantages of low cost and low false alarm rate.
Directional Feature Maps Learning for Interpretable Cardiac Image Segmentation
Authors: Yang Tiantian , Li Yu
Published: December 2023

One of the crucial duties in clinical surgery is medical image segmentation. Deep learning and fully convolutional neural networks are currently being employed for image segmentation and have achieved cutting-edge outcomes on numerous publicly available benchmark datasets. Shape is more significant than visual texture, and typical CNNs are not robust and interpretable. As a result, we suggest the Shape Attention Net (DFSNet), a new architecture that emphasizes robustness and interpretability. This architecture employs a dual-stream method to simultaneously record rich shape-related information and conventional texture streams. A dual attention decoder module is used to learn multi-resolution saliency maps, and a direction field distance prediction pipeline is utilized for fixing segmentation detail. On two sizable public datasets for heart MRI image segmentation, SUN09 and ACDC, our technique produced cutting-edge results.
Research on Segmentation of Intestinal Polyps Based on Improved Transformer and FCN
Authors: Chen Xinjie , Wang Chen
Published: December 2023

The rising prevalence of colon cancer necessitates early detection through colonoscopy. Deep learning segmentation technology has emerged as a reliable tool for detecting lesions, with convolutional neural networks (CNNs) leading advancements in medical image processing. However, manual polyp segmentation during colonoscopic examinations is time-consuming, highlighting the need for automated approaches. This study introduces a novel parallel branching structure to address limitations and improve contextual information and low-level detail handling. The structure extracts complementary features, enriching image analysis. Additionally, a quadratic complete volume integral branch enhances segmentation performance. We present our innovative model and methodology for polyp segmentation, advancing automated detection in colonoscopy. Experimental results demonstrate the effectiveness and robustness of our approach. By integrating deep learning techniques and leveraging our parallel branching structure, our method achieves superior segmentation accuracy for efficient and accurate polyp detection.
Secure Startup Scheme for Asymmetric Embedded Software Based on Multiple Cores
Authors: Yuan Fang , Li Dejian , Feng Xi , Niu Bin
Published: December 2023

Aiming at the real-time requirement of relay protection device, a secure startup mechanism of multi-core asymmetric software was proposed based on a self-developed chip with two clusters and four cores of ARM Cortex-A53 processor, which could meet both the security requirements of embedded devices and the real-time requirements of relay protection device. The overall design idea, security hardware protection module and software architecture of the mechanism are described, and the security is analyzed in detail. Experiments show that the proposed scheme can be used as a trusted system to measure the integrity of embedded devices, so as to realize the secure startup of embedded devices.
The Whole Project Delivery (IPD) Model Is Applied in the Teaching Building of MN College
Authors: Cheng Baoliang , Song Liqin , Huang Bihong
Published: December 2023

The construction project of MN College has a long cycle and a shortage of professional talents. Once the project is completed, it will face the risk of idle personnel in the infrastructure department. The owner should choose the appropriate project management mode. This paper summarizes the specific characteristics of the implementation process of IPD mode project through case research. Under the overall project delivery (IPD) mode supported by BIM technology and “Internet +” related technology, the feasibility of applying the overall project delivery (IPD) mode in the teaching building of MN College is discussed and evaluated by using the expert seminar method. The research shows that this model is suitable for the teaching building project management of MN University, and can provide some reference for the implementation practice of the teaching building construction project management model in private universities.
Study on Carbon Emissions from Land Cover Change and Its Decoupling Pattern with Economic Development in Henan Province Based on Multi-Source Data (1990–2020)
Authors: Yan Wei , Wang Yifan , Liu Minghua , Wang Tingting , Yan Junhui , Ji Jiasheng , Cui Yue , Wang Huimin
Published: December 2023

It is of profound significance to study the variation of land cover change carbon emissions (LCCCE) and its relationship with economic development for the optimization of regional land cover structure and the development of the green economy. Using carbon emissions estimation methods, Tapio decoupling model, and Sen’s nonparametric method, this study analyzed the characteristics of land cover area and its carbon emissions in Henan Province, and discussed the relationship between LCCCE and economic development based on multi-source data. The results showed that: (1) From 1990 to 2020, different land cover types showed great differences in their area changes, among which the cropland and construction land continued to change at rates of -4260.13 km2/10a and 3677.61 km2/10a, respectively, while the forest land had a trend of “decreasing first and then increasing” with a turning point of 2000. (2) The net carbon emissions (NCE) of land cover in Henan Province showed a trend of slow rise (1990–1999)–rapid rise (1999–2011)–rapid decline (2011–2020) at rates of 2441.94×104t/10a, 16575.21×104t/10a, and -7493.35×104t/10a, respectively. Carbon emissions from construction land accounted for 94.747% of NCE in Henan Province. (3) The relationship between LCCCE and Gross Domestic Product (GDP) in Henan Province presented multiple stages of weak decoupling (1991–1999), expansive coupling (2000–2006), weak decoupling (2007–2011), and strong decoupling (2012–2020).
Vehicle Target Detection Based on LIDAR and Camera Information Fusion
Authors: Geng Linwen , Ding Hongchang
Published: December 2023

With the continuous growth of intelligent driving applications, the accuracy of vehicle target detection is of critical importance. The limitations of a single sensor cannot meet the stringent requirements for vehicle-level detection accuracy at present. Therefore, this research is committed to solving this problem, mainly through the following steps: first, a unified spatiotemporal fusion strategy is adopted, associating the detection results of multiple sensors, while deep preprocessing of point cloud data is performed to ensure high-quality data and improve processing efficiency. In addition, the YOLOv4 algorithm is optimized to improve vehicle detection accuracy in occluded environments. On this basis, this paper proposes a multi-sensor fusion strategy. By setting a lower visual confidence threshold, the omission rate of vehicle targets is reduced. During the correlation matching stage, LIDAR is used to “review” the visual detection results to further enhance the confidence of visual detection results. The fused results are output with a high confidence threshold, significantly improving the detection accuracy of target vehicles. To verify the performance of the target detection system designed in this paper, a real-vehicle verification was conducted in an outdoor road environment. The experimental results show that the detection accuracy of vehicle targets can be effectively improved by an average of about 4.5%.
The Research on Aspect-Level Sentiment Analysis for Online Reviews Based on BERT-BiLSTM Model
Authors: Tang Haiqin , Zhang Ruirui
Published: December 2023

With the development of professional online review systems, current sentiment analysis research is more focused on classifying the sentiment polarity of different aspects of the same subject, which also helps consumers to make decisions. To address the problems of multiple meanings of words, inadequate contextual semantic understanding and incomplete feature extraction in online reviews, this paper proposes an aspect-level sentiment analysis model based on BERT-BiSTM (Bidirectional Encoder Representation from Transformers and Bi-directional Long Short-Term Memory). The BERT word vectorisation can make use of the information in both directions in the text and can better learn the semantic information of the text. The results of the BERT model are fed into the BiLSTM model to fully perform feature mining for aspect extraction and sentiment polarity classification. The experimental results show that the model in this paper works well on the tasks of aspect extraction and sentiment polarity classification on the four datasets Semeval2014_restaurant (Res14), Semeval2014_laptop (Lap14), Semeval2015_restaurant (Res15) and Semeval2016_restaurant (Res16).
Min-Leader Optimal Scheduling Algorithm in Kubernetes Clusters
Authors: Ding Yongkang , Liu Junnan , He Xin
Published: December 2023

The development of containerization and virtualization technologies has made Kubernetes a popular container orchestration platform that allows multiple replicas for scalability and availability. For stateful applications, each replica requires persistent storage, and a leader must be elected among the replicas to handle client requests and ensure data consistency. However, leaders for multiple stateful applications can become unbalanced across nodes, leading to inefficient resource utilization and load imbalance. This paper proposes the Min-Leader optimal scheduling algorithm that balances leader distribution across nodes during the scheduling phase of Pods. The algorithm considers the number of leaders on each node and prioritizes nodes with the least number of leaders with the goal of improving cluster availability and stability. The algorithm is integrated into the default Kubernetes scheduler as a plugin and validated using experiments. The algorithm effectively balances workload between nodes, improving cluster availability and stability.
Research on Design of Digital Display Platform Based on Cloud Computing
Authors: Miao Han
Published: December 2023

With the change of times, the existence of art can be seen everywhere in life, and the natural beauty and artistic beauty are permeated everywhere in life. The arrival of cloud computing provides a great opportunity for the development of art appreciation methods, which provides a powerful platform for art appreciation learning, which is the development trend of art appreciation supported by computer. The purpose of this paper is to study the art appreciation platform based on cloud computing. The feasibility and related technologies of the platform were analyzed, and an art appreciation platform based on cloud computing was designed, highlighting the resource integration and evaluation function of cloud computing assisted art appreciation. Finally, the platform was optimized, and the performance of the optimized art appreciation platform was increased by 4%.