bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Pakar Diagnosa Penyakit Pada Tanaman Kakao Menggunakan Metode Dempster Shafer
Authors: Heri Adi , Wahdaniah  , Irfan AP
Published: March 2024

Diagnosa penyakit pada buah Kakao merupakan langkah penting dalam menjaga kesehatan tanaman dan meningkatkan produksi Kakao. Dalam penelitian ini, dilakukan implementasi metode Demster Shafer untuk diagnosa penyakit pada buah Kakao dengan tingkat akurasi 90%. Metode ini didukung oleh hasil pengujian black box yang juga menunjukkan performa yang baik. Pada tahap implementasi, metode Demster Shafer digunakan untuk menganalisis gejala-gejala yang dialami oleh buah Kakao dan menentukan kemungkinan terjadinya penyakit berdasarkan informasi yang diperoleh. Metode ini memungkinkan untuk menggabungkan dan mempertimbangkan beberapa gejala secara bersamaan, sehingga dapat memberikan hasil diagnosa yang lebih akurat. Hasil pengujian menunjukkan bahwa metode Demster Shafer berhasil mencapai tingkat akurasi sebesar 90% dalam mendiagnosis penyakit pada buah Kakao. Hal ini menunjukkan bahwa metode ini efektif dan dapat diandalkan dalam membantu petani Kakao dalam mengenali penyakit yang mungkin menyerang tanaman mereka. Selain itu, hasil pengujian black box juga memberikan indikasi bahwa aplikasi berjalan dengan baik sesuai dengan keinginan dari pembuatan aplikasi dan alur kerja yang telah ditentukan. Ini menunjukkan bahwa metode Demster Shafer berhasil diimplementasikan dengan baik dalam aplikasi prediksi penyakit pada buah Kakao. Implementasi metode Demster Shafer untuk diagnosa penyakit pada buah Kakao dengan tingkat akurasi 90% dan hasil pengujian black box yang baik ini memiliki potensi untuk meningkatkan efisiensi dan produktivitas dalam budidaya Kakao. Di masa depan, penelitian ini dapat menjadi dasar bagi pengembangan aplikasi yang lebih canggih dan akurat dalam mendiagnosis penyakit pada tanaman Kakao
Remarks on Solving Methods of Nonlinear Equations
Authors: Huang Sha , Zhao Yaping
Published: March 2024

Abstract: In the field of mechanical engineering, many practical problems can be converted into nonlinear problems, such as the meshing problem of mechanical transmission. So the solution of nonlinear equations has important theoretical research and practical application significance. Whether the traditional Newton iteration method or the intelligent optimization algorithm after the popularization of computers, both them have been greatly enriched and developed through the continuous in-depth research of scholars at home and abroad, and a series of improved algorithms have emerged. This paper mainly reviews the research status of solving nonlinear equations from two aspects of traditional iterative method and intelligent optimization algorithm, systematically reviews the research achievements of domestic and foreign scholars, and puts forward prospects for future research directions.
Pengembangan Bahan Ajar Matematika Berbasis HOTS untuk Meningkatkan Kemampuan Berpikir Tingkat Tinggi Siswa
Authors: Dipha Rivqy Ramadhani Putra , Sutirna  , Adi Ihsan Imami
Published: March 2024

Penelitian ini bertujuan untuk mengembangkan bahan ajar matematika berbasis HOTS berupa modul untuk meningkatkan kemampuan berpikir tingkat tinggi siswa. Metode penelitian yang digunakan adalah metode pengembangan bahan ajar berdasarkan delapan langkah pengembangan bahan ajar menurut Kosasih yang terdiri dari analisis kebutuhan kelompok sasaran, perumusan kompetensi dasar dan telaah kurikulum, merumuskan sistematika bahan ajar, pengumpulan sumber, pengembangan bahan ajar, validasi ahli, uji coba terbatas, dan revisi. Penelitian dilakukan kepada siswa SMA kelas X di SMA Negeri 3 Karawang. Teknik pengumpulan data pada penelitian ini adalah dengan menggunakan wawancara, angket validasi dan respons siswa, dan dokumentasi. Dari hasil penelitian dan pengembangan bahan ajar yang dilakukan, diperoleh modul matematika trigonometri berbasis HOTS yang valid dan praktis. Hasil dari validasi ahli materi dan pembelajaran, modul yang dikembangkan mendapatkan nilai rata-rata sebesar 87,76% dengan kriteria “Baik sekali” dan validasi ahli media mendapatkan nilai rata-rata sebesar 86,6% dengan kriteria “Baik Sekali”. Hasil uji coba respons siswa untuk mengetahui kepraktisan modul juga mendapatkan kriteria “Baik Sekali” dengan nilai rata-rata 87%. Sehingga dapat disimpulkan bahwa luaran dalam penelitian ini yaitu modul matematika trigonometri berbasis HOTS untuk kelas X memiliki kriteria valid dan praktis.
Pengaruh Kemampuan Koneksi Matematis Terhadap Kemampuan Pemecahan Masalah Matematika Peserta Didik
Authors: Keke Berlinda  , Saleh Haji  , Hanifah
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh langsung kemampuan koneksi matematis terhadap kemampuan pemecahan masalah matematika. Jenis penelitian yang dilaksanakan adalah expost de facto. Teknik pengumpulan data menggunakan tes kemampuan koneksi matematis dan tes kemampuan pemecahan masalah matematika. Populasi dalam penelitian ini adalah seluruh peserta didik kelas X MIPA SMAN 06 Kota Bengkulu tahun ajaran 2020/2021 yang berjumlah 170 peserta didik dan sampel penelitian berjumlah 63 peserta didik terdiri dari 26 peserta didik laki-laki dan 37 peserta didik perempuan yang berusia 14-15 tahun. Hasil penelitian menunjukan bahwa terdapat pengaruh langsung kemampuan koneksi matematis terhadap kemampuan pemecahan masalah matematika sebesar 16,62%.
Penerapan Model Pembelajaran Inkuiri untuk Meningkatkan Kemampuan Berpikir Kritis Siswa
Authors: Widianjani Widianjani , Patimah Lamlam
Published: March 2024

Penelitian ini bertujuan untuk: 1). Mengetahui peningkatan berpikir kritis terhadap matematik dengan menggunakan model pembelajaran inkuiri; 2). Mengetahui peningkatan setiap aspek berpikir kritis dengan menggunakan model pembelajaran inkuiri; 3). Mengetahui respon siswa dalam pembelajaran inkuiri di SMK Pasundan 2 Cianjur. Metode penelitian ini yaitu Kurt Lewis yang terdiri dari pra- siklus, siklus I dan siklus II. Teknik analisis data menggunakan pengujian hipotesis, yang didapatkan dari tes formatif untuk melihat persentase tingkat kemampuan berpikir kritis, sedangkan untuk mengetahui respon siswa terhadap pembelajaran inkuiri dengan menyebarkan angket untuk mengetahui responnya positif atau tidak. Hasil dari penelitian didapatkan peningkatan kemampuan berpikir kritis siswa sebesar 40,6% yaitu pada siklus ke I sebesar 19,5% dan siklus ke II sebesar 21,1%. Kemampuan siswa pada semua aspek berpikir kritis meningkat, yaitu aspek memberikan penjelasan sederhana sebesar 18,8% dari pra-siklus ke siklus I, dan 20,6% dari siklus I ke siklus II, aspek penjelasan lebih lanjut sebesar 20% dari pra-siklus ke siklus I, dan 20,9% dari siklus I ke siklus II, aspek membuat strategi dan taktik sebesar 18,2% dari pra-siklus ke siklus I dan 20% dari siklus I ke siklus II, aspek membuat kesimpulan sebesar 22,3% dari pra-siklus ke siklus I dan 20,3% dari siklus I ke siklus II. Hasil penelitian juga dapat disimpulkan adanya sikap positif terhadap model pembelajaran inkuiri.
Kualitas Pembelajaran Rally Coach terhadap Kemampuan Berpikir Kritis pada Materi Pohon (Tree)
Authors: Sari Dian Kartika
Published: March 2024

Pembelajaran Rally Coach dinilai efektif untuk mengukur kemampuan pemecahan masalah, berpikir kritis, serta komunikasi. Kualitas pembelajaran Rally Coach pada penelitian ini ditinjau dari tahap perencanaan, pelaksanaan, dan penilaian pembelajaran. Tujuan dari penelitian ini adalah untuk mengetahui kualitas pembelajaran Rally Coach baik dalam tahap pertama yaitu perencanaan, tahap kedua yaitu pelaksanaan, dan tahap ketiga yaitu penilaian/evaluasi hasil pembelajaran yang di implementasikan pada materi pohon (tree). Metode penelitian ini adalah metode kombinasi kuantitatif dan kualitatif. Penelitian ini dilaksanakan di Institut Teknologi Telkom Purwokerto. Metode cluster sampling digunakan untuk menentukan sampel dalam penelitian ini. Sampel terdiri dari dua kelompok, yaitu kelas eksperimen yang menerapkan pembelajaran Rally Coach, dan kelas kontrol yang menerapkan metode pembelajaran ceramah. Subjek yang digunakan mahasiswa Teknik Informatika Kelas IF 10 D dan kelas IF 10 E Angkatan 2022. Teknik untuk mengumpulkan data menggunakan tes dan kuesioner. Data yang digunakan adalah hasil Tes Kemampuan Berpikir Kritis (TKBK), lembar pengamatan penelitian. Data dianalisis menggunakan uji rata-rata, beda rata-rata, dan proporsi. Berdasarkan hasil analisis data pada tahap perencanaan pembelajaran berada pada kategori baik, pada tahap pelaksanaan pembelajaran berada pada kategori sangat baik, dan tahap evaluasi hasil pembelajaran diperoleh hasil pembelajaran Rally Coach efektif. Oleh karena itu, pembelajaran Rally Coach terhadap kemampuan berpikir kritis berkualitas.
Analisis Kemampuan Pemahaman Matematis Siswa SD dengan Menggunakan Soal TIMSS Materi Pecahan
Authors: Riswandi Muh. Ikram , Rukli Rukli
Published: March 2024

Tujuan penelitian ini adalah untuk menganalisis kemampuan pemahaman matematis siswa SD dalam menyelesaikan soal TIMSS materi aljabar. Penelitian ini menggunakan metode kualitatif dengan analisis data secara deskriptif. Subjek penelitian yaitu 5 siswa kelas IV di salah satu SD yang berada di Kabupaten Gowa. Teknik pengambilan data pada penelitian ini dilakukan dengan menggunakan 4 soal tes dalam bentuk uraian yang memenuhi indikator-indikator kemampuan pemahaman matematis dan setelah itu dilakukan wawancara secara mendalam pada subjek penelitian. Dari hasil penelitian, 1 siswa berkemampuan pemahaman matematis dalam kategori tinggi, 1 siswa berkemampuan pemahaman matematis dalam kategori sedang, dan 3 siswa berkemampuan pemahaman matematis dalam kategori rendah. Hasil analisis lebih lanjut terhadap 3 siswa dengan masing-masing kategori yang berbeda menunjukkan bahwa siswa berkemampuan pemahaman matematis kategori tinggi mampu menyelesaikan persoalan dan dinilai memenuhi indikator-indikator kemampuan pemahaman matematis, siswa berkemampuan pemahaman matematis kategori sedang terlihat masih melakukan kesalahan dalam menyelesaikan persoalan walaupun siswa dinilai sudah cukup memiliki pemahaman matematis yang baik, dan siswa berkemampuan pemahaman matematis rendah dinilai belum memahami persoalan yang diberikan sehingga siswa tersebut tidak dapat menyelesaikan persoalan tersebut dengan baik. Pendidik disarankan untuk menumbuhkan minat siswa untuk meningkatkan kemampuan pemahaman matematis siswa.
Kesalahan Siswa Menyelesaikan Soal PISA Berdasarkan Kemampuan Pemecahan Masalah Matematis Siswa
Authors: Rosehana Sherly , Haerudin Haerudin
Published: March 2024

Kemampuan pemecahan masalah matematis merupakan salah satu kemampuan yang penting dimiliki siswa dalam pembelajaran matematika Tujuan penelitian ini untuk mendeskripsikan bagaimana kekeliruan yang dialami siswa dalam usaha mencari solusi suatu permasalahan PISA seperti letak, jenis dan penyebabnya yang ditinjau dari kemampuan pemecahan masalah matematis siswa. Penelitian ini menggunakan deskriptif kualitatif. Subjek dalam penelitian ini adalah siswa SMP di Bekasi dengan pengambilan sample menggunakan purposive sampling. Teknik pengumpulan data dalam penelitian ini adalah memberikan tes berupa tiga soal PISA Matematika 2009 yang telah diterjemahkan ke dalam bahasa Indonesia. Teknis analisis data pada penelitian ini adalah melakukan kondensasi data, penyajian data dan penarikan kesimpulan. Hasil penelitian ini adalah rata-rata skor kemampuan pemecahan masalah matematis sebesar 22,2. Kemampuan pemecahan masalah matematis siswa tergolong pada kategori tinggi memenuhi seluruh indikator pemecahan masalah, yaitu memahami masalah, menyusun rencana, melaksanakan rencana dan memeriksa kembali. Kemampuan pemecahan masalah matematis siswa tergolong pada kategori sedang memenuhi tahap memahami masalah, menyusun rencana dan melaksanakan rencana. Kemampuan pemecahan masalah matematis siswa tergolong pada kategori rendah hanya memenuhi dua dari empat tahap menyusun rencana dan melaksanakan rencana.
Pengaruh Motivasi Belajar Terhadap Kemampuan Pemecahan Masalah Matematis Siswa Ditinjau dari Gender
Authors: Cahyadi Dimas Bagus , Roesdiana Lessa
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh motivasi belajar, gender, dan interaksinya terhadap kemampuan pemecahan masalah matematis siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan metode ex post facto. Populasi dalam penelitian ini adalah seluruh siswa kelas XI SMK Pratama Mulya Karawang yakni sebanyak 140 siswa, sedangkan sampel berjumlah 60 siswa terdiri atas 30 siswa laki-laki dan 30 siswa perempuan yang dipilih berdasarkan teknik cluster random sampling. Instrumen dalam penelitian ini menggunakan angket motivasi belajar dan soal tes kemampuan pemecahan masalah matematis. Analisis data pada penelitian ini menggunakan uji anova dua jalur. Hasil penelitian menunjukan: 1) Terdapat pengaruh motivasi belajar terhadap kemampuan pemecahan masalah matematis siswa; 2) Terdapat pengaruh gender terhadap kemampuan pemecahan masalah matematis siswa; dan 3) Tidak terdapat interaksi antara faktor motivasi belajar dan gender terhadap kemampuan pemecahan masalah matematis siswa.
Analisis Kemampuan Pemahaman Konsep Matematis Siswa Kelas VII Pada Materi Garis dan Sudut
Authors: Mira Ayu , Munandar Dadang Rahman
Published: March 2024

Penelitian ini merupakan penelitian kualitatif dengan metode deskriptif dengan tujuan untuk menyelidiki, menganalisis, dan mendeskripsikan bagaimana anak-anak kelas VII mampu memahami konsep matematika yang berkaitan dengan garis dan sudut. Subjek penelitian ini adalah 3 dari 37 siswa kelas VII dari salah satu SMP di Kabupaten Karawang tahun ajaran 2022/2023 yang diambil dengan menggunakan teknik purposive sampling. Instrumen nya berupa tes kemampuan pemahaman konsep matematis berupa essai yang soalnya mengenai materi garis dan sudut serta hasil jawaban siswa diperkuat lagi melalui wawancara dengan subjek penelitian. Kemudian, data diolah dan dianalisis berdasarkan nilai yang siswa peroleh. Berdasarkan hasil penelitian dan hasil analisis kemampuan pemahaman konsep matematis siswa dapat ditarik kesimpulan bahwa nilai rata-rata yang diperoleh sebesar 10,70%, yang menggambarkan bahwa siswa kelas VII di salah satu SMP Negeri di Kabupaten Karawang masih tergolong sedang. Hal tersebut disebabkan oleh beberapa faktor, oleh karena itu kemampuan pemhaman konsep matematis sangat penting dalam proses pembelajaran.
Peningkatan Kemampuan Pemecahan Masalah Matematis Melalui Model Pembelajaran Discovery Learning dan Hubungannya dengan Self Confidence
Authors: Badriyah Dewi , Sutirna Sutirna , Sopiany Hanifah Nurus
Published: March 2024

Penelitian ini bertujuan untuk melihat peningkatan kemampuan pemecahan masalah matematis melalui model pembelajaran discovery learning dan hubungannya dengan self confidence siswa SMK. Pendekatan dalam penelitian ini adalah pendekatan kuantitatif dengan desain penelitian Quasy Eksperimental Design dan bentuk desain yang diambil yaitu The Nonequivalent Pretest-Posttest Control Group Design. Populasi dalam penelitian ini siswa kelas X dengan sampel sebanyak 2 kelas masing-masing 30 siswa di SMK Sehati Karawang. Pengambilan sampel mengggunakan teknik pusposive sampling maka diperoleh kelas X Keperawatan 1 dan X Keperawatan 2. Teknik pengumpulan data berupa test uraian untuk mengukur kemampuan pemecahan masalah matematis. Hasil analisis data kuantitatif menggunakan uji Independent Sampel t Test dan uji korelasi Pearson Product Moment menunjukan bahwa (1) peningkatan kemampuan pemecahan masalah matematis siswa yang memperoleh  model pembelajaran discovery learning lebih tinggi dari pada siswa yang memperoleh model pembelajaran konvensional; (2) Terdapat hubungan peningkatan kemampuan pemecahan masalah matematis siswa yang memperoleh pembelajaran konvensional dengan self confidence; (3) Terdapat hubungan peningkatan kemampuan pemecahan masalah matematis siswa yang memperoleh pembelajaran discovery learning dengan self confidence; (4)  self confidence siswa yang memperoleh model pembelajaran discovery learning lebih baik dari pada siswa yang memperoleh model pembelajaran konvensional.
Entdeckend-forschendes Lernen im Kontext einer Bildung für nachhaltige Entwicklung
Authors: Kozakiewicz Nicolai , Bosset Isabelle , Buchner Josef , Reitinger Johannes
Published: March 2024

Der Beitrag diskutiert die konsequente Berücksichtigung einer Bildung für nachhaltige Entwicklung im Lernarrangement „Heute für morgen handeln“ des Regionalen Didaktischen Zentrums Gossau. Auf der Grundlage einer quantitativen Studie wird gezeigt, inwiefern die Integration von überfachlichen Strategien des entdeckend-forschenden Lernens stattfindet. Dabei wird diskutiert, inwiefern dies für den Erwerb relevanter Kompetenzen einer Bildung für (nachhaltige) Lebensführung dienen kann.
Planspielbasiert und ko-konstruktiv – fachliches und überfachliches Lernen in der Lernumgebung „Wirtschaft entdecken“
Authors: Lütolf Susanne
Published: March 2024

Webbasierte Planspiele und computergestützte Simulationen bergen aus lernpsychologischer Sicht großes Potenzial für fachliches und überfachliches Lernen. So zeigten Lernende der Sekundarstufe I, welche das webbasierte Planspiel „Wirtschaft entdecken“ in einem ko-konstruktiven Setting erlebt haben, eine signifikante Verbesserung ihrer Vorstellungen zu wirtschaftlichen Zusammenhängen.
Decay characterization of solutions to incompressible Navier–Stokes–Voigt equations
Authors: Liu Jitao , Wang Shasha , Xu Wen-Qing
Published: March 2024

Recently, Niche [J. Differential Equations, 260 (2016), 4440–4453] established upper bounds on the decay rates of solutions to the 3D incompressible Navier–Stokes–Voigt equations in terms of the decay character r ∗ of the initial data in H 1 ( R 3 ). Motivated by this work, we focus on characterizing the large-time behavior of all space-time derivatives of the solutions for the 2D case and establish upper bounds and lower bounds on their decay rates by making use of the decay character and Fourier splitting methods. In particular, for the case − n 2 < r ∗ ⩽ 1, we verify the optimality of the upper bounds, which is new to the best of our knowledge. Similar improved decay results are also true for the 3D case.
The rheology of interactions between leukocytes, platelets and the vessel wall in thrombo-inflammation
Authors: Nash Gerard B.
Published: March 2024

Leukocytes and platelets must adhere to the wall of blood vessels to carry out their protective functions in inflammation and haemostasis. Recruitment is critically dependent on rheological variables (wall shear rate and stress, red cell aggregation and haematocrit) which affect delivery to the vessel wall as well as velocities and forces experienced there. Leukocyte recruitment is efficient only up to wall shear rates of about 300 s−1 and usually restricted to low-shear post-capillary venules in inflammation. Being smaller, platelets experience lower velocities and shear forces adjacent to the wall and can adhere at much higher shear rates for haemostasis in arteries. In addition, we found quite different effects of variations in haematocrit or red cell aggregation on attachment of neutrophils or platelets, which also assist their separate recruitment in venules or arteries. However, it has become increasingly evident that inflammatory and thrombotic responses may occur together, with platelets promoting the adhesion and activation of neutrophils and monocytes. Indeed, it is 30 years since we demonstrated that platelets could cause neutrophils to aggregate in suspension and, when attached to a surface, could support selectin-mediated rolling of all leukocytes. Thrombin-activated platelets could further induce neutrophil activation and immobilisation. In some conditions, platelets could bind to intact endothelial monolayers and capture neutrophils or monocytes. Subsequently, we found that extracellular vesicles released by activated platelets (PEV) fulfilled similar functions when deposited on surfaces or bound to endothelial cells. In murine models, platelets or PEV could act as bridges for monocytes in inflamed vessels. Thus, leukocytes and platelets are rheologically adapted for their separate functions, while novel thrombo-inflammatory pathways using platelets or PEV may underlie pathogenic leukocyte recruitment.
A hemodynamic model of artery bypass graft considering microcirculation function
Authors: He Fan , Li Minru , Hua Lu , Guo Tingting
Published: March 2024

BACKGROUND: The incidence of arterial stenosis is increasing year by year. In order to better diagnose and treat arterial stenosis, numerical simulation technology has become a popular method. OBJECTIVE: A novel model is constructed to investigate the influence of microcirculation on the hemodynamics of artery bypass graft. METHODS: In this paper, a severely narrow artery bypass graft model is considered. The geometric shape includes a narrow artery tube and a bypass graft of the same diameter with a 45° suture angle. The fluid-structure interaction model is considered by finite element numerical calculation, and the flow is simulated with microcirculation as the outlet boundary condition. The changes of blood flow velocity, pressure and wall shear stress are analyzed. RESULTS: The results show that blood almost entirely flows into the graft tube and there is no recirculation area at the anastomosis. CONCLUSION: The artery bypass graft model considering microcirculation function could simulate the physiological characteristics of blood flow more reasonably, and it provide helps for clinicians to diagnose and treat arterial stenosis.
Effect of gold-conjugated resveratrol nanoparticles on glioma cells and its underlying mechanism
Authors: Liu Xiaojiang , Guo Zongfeng , Li Jun , Wu Demo , Liu Zhongping , Guan Cheng , Guan Yixiang , Lu Xiaomin
Published: March 2024

BACKGROUND:  Glioblastoma is the most aggressive brain tumor with poor prognosis. Although Resveratrol (Rsv) is known to have therapeutic effects on glioma, the effects of gold-conjugated resveratrol nanoparticles (Rsv-AuNPs) on glioma cells are rarely reported. OBJECTIVE: We aimed to investigate the effects of Rsv-AuNPs on glioma cells and its underlying mechanism. METHOD: Human glioma cell line U87 was treated with different concentrations of Rsv-AuNPs. CCK-8, transwell, and wound healing assay were performed to measure the effects of Rsv-AuNPs on cell proliferation, invasion, and migration ability, respectively. Flow cytometry assay was used to detect the effects of Rsv-AuNPs on apoptosis. Changes of protein expressions related to proliferation, invasion, migration, and apoptosis were measured by Western blot assay. In addition, the inhibitory role of Rsv-AuNPs in the PI3K/AKT/mTOR signaling pathway was verified by using PI3K inhibitor LY294002.  RESULTS: Rsv-AuNPs treatment significantly suppressed proliferation, migration, and invasion of U87 cells (all P < 0.05) and increased the apoptosis rate (P < 0.05). The changes of proteins related to proliferation, migration, invasion and apoptosis were consistent (all P < 0.05). Moreover, Rsv-AuNPs treatment significantly inhibited the phosphorylation of PI3K, AKT and mTOR proteins in U87 cells (P < 0.05). CONCLUSION: The present study found that Rsv-AuNPs inhibited the proliferation, migration, and invasion of U87 cells and induced apoptosis by inhibiting the activation of PI3K/AKT/mTOR signaling pathway. In the future, Rsv-AuNPs might be applied to the clinical treatment of glioma through more in-depth animal and clinical research.
Two Sufficient Conditions for Graphs to Admit Path Factors
Authors: Zhou Sizhong , Wu Jiancheng
Published: March 2024

Let 𝒜 be a set of connected graphs. Then a spanning subgraph A of G is called an 𝒜-factor if each component of A is isomorphic to some member of 𝒜. Especially, when every graph in 𝒜 is a path, A is a path factor. For a positive integer d ≥ 2, we write 𝒫≥ d = {𝒫 i| i ≥ d}. Then a 𝒫≥ d-factor means a path factor in which every component admits at least d vertices. A graph G is called a (𝒫≥ d, m)-factor deleted graph if G – E′ admits a 𝒫≥ d-factor for any E′ ⊆ E( G) with | E′| = m. A graph G is called a (𝒫≥ d, k)-factor critical graph if G – Q has a 𝒫≥ d-factor for any Q ⊆ V ( G) with | Q| = k. In this paper, we present two degree conditions for graphs to be (𝒫≥3, m)-factor deleted graphs and (𝒫≥3, k)-factor critical graphs. Furthermore, we show that the two results are best possible in some sense.
Comparative Efficacy, Tolerability, and Acceptability of Donanemab, Lecanemab, Aducanumab, Melatonin, and Aerobic Exercise for a Short Time on Cognitive Function in Mild Cognitive Impairment and Mild Alzheimer’s Disease: A Systematic Review and Network Meta-Analysis
Authors: Terao Itsuki , Kodama Wakako
Published: March 2024

Background:

The Food and Drug Administration (FDA) has approved lecanemab and aducanumab and is reviewing donanemab, but they have questionable efficacy, serious side effects and are costly, whereas melatonin administration and aerobic exercise for a short time may overcome these problems.

Objective:

We aim to compare the efficacy on cognitive function, tolerability and acceptability of melatonin administration and aerobic exercise for a short time with donanemab, lecanemab, and aducanumab in people with mild AD and MCI.

Methods:

We systematically reviewed relevant randomized placebo-controlled trials (RCTs) in PubMed, the Cochrane Library, CINHAL, and ClinicalTrials.gov and performed network meta-analyses.

Results:

The analysis included 10 randomized placebo-controlled trials with 4,599 patients. Although melatonin and aerobic exercise for a short time were significantly more effective than donanemab, lecanemab, aducanumab and placebo in the primary analysis, there was significant heterogeneity. In the sensitivity analysis excluding exercise, melatonin was significantly more effective than donanemab, lecanemab, aducanumab and placebo, with no significant heterogeneity. Aerobic exercise for a short time was significantly less acceptable than donanemab, aducanumab and placebo. Donanemab, lecanemab, and aducanumab were significantly less tolerable than placebo and donanemab and lecanemab were significantly less acceptable than placebo.

CONCLUSIONS:

Melatonin may be a better potential disease-modifying treatment for cognitive decline in mild AD and MCI. Aerobic exercise for a short time might also be better than donanemab, lecanemab and aducanumab if continued, as it is well tolerated and more effective, although less valid due to heterogeneity. Another limitation is the small number of participants.
White Matter Microstructure Analysis in Subjective Memory Complaints and Cognitive Impairment: Insights from Diffusion Kurtosis Imaging and Free-Water DTI
Authors: Bergamino Maurizio , Keeling Elizabeth , McElvogue Molly , Schaefer Sydney Y. , Burke Anna , Prigatano George , Stokes Ashley M.
Published: March 2024

Background:

Dementia is characterized by a cognitive decline in memory and other domains that lead to functional impairments. As people age, subjective memory complaints (SMC) become common, where individuals perceive cognitive decline without objective deficits on assessments. SMC can be an early sign and may precede amnestic mild cognitive impairment (MCI), which frequently advances to Alzheimer’s disease (AD).

Objective:

This study aims to investigate white matter microstructure in individuals with SMC, in cognitively impaired (CI) cohorts, and in cognitively normal individuals using diffusion kurtosis imaging (DKI) and free water imaging (FWI). The study also explores voxel-based correlations between DKI/FWI metrics and cognitive scores to understand the relationship between brain microstructure and cognitive function.

Methods:

Twelve healthy controls (HCs), ten individuals with SMC, and eleven CI individuals (MCI or AD) were enrolled in this study. All participants underwent MRI 3T scan and the BNI Screen (BNIS) for Higher Cerebral Functions.

Results:

The mean kurtosis tensor and anisotropy of the kurtosis tensor showed significant differences across the three groups, indicating altered white matter microstructure in CI and SMC individuals. The free water volume fraction ( f) also revealed group differences, suggesting changes in extracellular water content. Notably, these metrics effectively discriminated between the CI and HC/SMC groups. Additionally, correlations between imaging metrics and BNIS scores were found for CI and SMC groups.

Conclusions:

These imaging metrics hold promise in discriminating between individuals with CI and SMC. The observed differences indicate their potential as sensitive and specific biomarkers for early detection and differentiation of cognitive decline.
Elevated Risk of Dementia Diagnosis in Older Adults with Low Frequencies and Durations of Social Conversation
Authors: Shimada Hiroyuki , Doi Takehiko , Tsutsumimoto Kota , Makino Keitaro , Harada Kenji , Tomida Kouki , Arai Hidenori
Published: March 2024

Background: Social networks and social participation have protective effects on cognitive function maintenance and Alzheimer’s disease and general dementia development. Objective: We aimed to investigate the association between conversations and dementia incidence in older adults. Methods: This longitudinal prospective cohort study used population data from the National Center for Geriatric and Gerontology–Study of Geriatric Syndromes (NCGG–SGS) from September 2015 to February 2017. The database included 4,167 individuals in Japan aged ≥60 years who were generally healthy and without major cognitive impairment. Participants were classified into two groups according to six daily conversation measures at baseline. The conversation index was calculated as a composite score for these measures. Participants were tracked monthly over 60 months for new-onset dementia. Results: Data from 2,531 participants were analyzed (72.7±6.7 years; range: 60–96 years). Dementia incidence per 1,000 person-years was 15.7 (95% confidence interval, 13.6–18.1). The Youden index determined the cut-off point for dementia incidence, with a conversation index of 16/17 points. The low conversation group included more participants with new-onset dementia. Cox proportional hazards regression crude models showed remarkable relationships between dementia onset and specific conversation measurements, including conversation index. According to the Cox regression adjusted model, the cut-off point of the conversation index showed only a remarkable relationship with dementia onset. Conclusions: Dementia risk was extensively associated with low daily conversation statuses. The assessment of conversational factors may be useful as a risk indicator for the development of Alzheimer’s disease and general dementia.
Using artificial intelligence to analyze SME e-commerce utilization and growth strategies
Authors: Wang Jing
Published: March 2024

With the rapid development of information technology, the application of e-commerce in small and medium-sized enterprises is becoming more and more extensive. E-commerce is a development direction, not a simple transaction method. E-commerce is widely used in financial, service, and retail industries. The addition of e-commerce has promoted the transformation of these industries to informationization. This study uses the analytical capabilities of artificial intelligence to analyze the utilization rate of e-commerce in smes. The article and research ideas are firstly using artificial intelligence to build an analysis model, and secondly, using the results of model analysis to explore the utilization rate of e-commerce in small and medium-sized enterprises. Finally, according to the current situation of e-commerce utilization rate of small and medium-sized enterprises, relevant growth strategies are put forward. This paper builds an e-commerce application analysis model based on artificial intelligence technology. After multi-layer verification, the model has good performance in theory and practice. Using this model to analyze the application rate of e-commerce in small and medium-sized enterprises, we can find that there are still the following problems in the application of e-commerce in small and medium-sized enterprises. (1) Lack of experience and lack of guiding standards (2) Lack of reasonable business strategies (3) Lack of offline interaction with users. In order to solve these problems, small and medium-sized enterprises should (1) strengthen publicity and innovation and promote brand marketing (2) strengthen the cultivation and construction of talents (3) optimize the industrial model and reduce industrial costs (4) improve the industrial model and marketing of e-commerce system.
Research on photovoltaic dynamic MPPT algorithm based on adaptive PSO optimization
Authors: Lin Shixian , Liao Weiqiang
Published: March 2024

This paper proposes a photovoltaic (PV) dynamic maximum power point tracking algorithm based on improved PSO (particle swarm optimization) optimization in response to the problems associated with low tracking accuracy, poor immunity, and the ease of falling into local optimization, as well as the failure of the traditional MPPT algorithm (maximum power point tracking algorithm) under partial shading conditions. Firstly, three traditional MPPT algorithms are compared and analyzed, followed by simulation testing under standard and partial shading conditions. The advantages and disadvantages of three traditional algorithms are analyzed. Secondly, it is proposed that dynamic inertia weights and learning factors be applied synchronously during the optimization process in order to speed up the tracking speed of particle swarm optimization. In order to evaluate the effectiveness of different algorithms, it is best to simulate them under static and dynamic conditions. In comparison to the standard particle swarm algorithm and three other traditional algorithms, the proposed algorithm is capable of tracking the maximum power point quickly and accurately under conditions of uniform illumination and static and dynamic partial shading. There is a faster convergence speed as well as a greater degree of accuracy at steady state.
An analysis of English learning behavior based on big data and its impact on teaching
Authors: Yan Jing , Chen Aiping , Wang Haihua
Published: March 2024

This study explores the application of big data in the field of English learning, focusing on its influence on the analysis of English learning behavior and the effect of teaching intervention. Through experimental design and data analysis, the research results show that big data analysis can reveal the learning behavior pattern of learners, and provide personalized teaching intervention according to individual characteristics, so as to improve the learning effect. The study also found that the experimental group received personalized teaching intervention, English learners’ academic performance and learning motivation significantly improved. However, this study faces the limitations of sample representativeness and consistency of teaching interventions. Future studies can further expand the sample size and strengthen teacher training to improve the generalization and reliability of research results.
The role of English in promoting international cultural exchange in the context of big data and deep learning
Authors: Wei Tingting
Published: March 2024

English is a common global communication medium for exchanging diverse cultural elements between countries/people. The role of language is significant in developing political and economic aspects between nations. Such developments rely on voluptuous data from the past to the present happenings, reasoning, and conversations. Considering the significance of the English language in international cultural exchange and developments, this article introduces a Harmonious Data Analytical Scheme (DAS)-processed by Deep Learning (DL) paradigm. This scheme analyzes the available and accumulated data for cultural improvements and exchanges between diverse countries. The DL process identifies the matching aspects between the country’s culture and the accumulated data. Identifying such a point is repeatedly verified for the developments from the beginning to the current level of cultural improvements. The process discards the obsolete cultural data that are less considerable for exchanges and developments in the past. This process refines precise data to be utilized in further cultural exchanges reducing the data handling time and complexity. Finally, the proposed scheme is reliable in identifying the cultural development-based data through the common English language aspects. The DAS-DL method attains Identification rate by 0.98s, refining rate by 0.79% and data accumulation rate by 95.2% compared to existing methods.
Transformation and development strategy of digital publishing marketing based on big data and fuzzy control algorithm
Authors: Liu Qifeng , Guo Lei
Published: March 2024

Digital publishing is the process of informatizing the content of traditional publishing. It not only involves the processing of information, but also includes the whole process of digital publishing enterprise management and operation. Compared with traditional publishing, digital publishing has a wider distribution channel with the advantages of more diverse forms and marketing aspects, the transition from traditional digital publishing to digital publishing has become an inevitable trend. But there are still many problems in digital publishing in our country. Including the transformation of digital copyright awareness and maintenance of digital copyright, the source and maintenance of digital publishing technology, and the scarcity of compound talent resources. In order to solve these problems, we must combine the digital publishing industry with modern information technology. This paper builds a digital market preference prediction model based on big data and fuzzy control algorithms. By analyzing and predicting each consumer’s usage information, the digital consumer market preference is obtained. This research uses big data and fuzzy control algorithms to build a consumer market preference estimation model for digital publishing transformation. Through the observation of the consumer market, it can promote digital companies to make effective decisions and conduct reasonable organizational analysis, which can further improve The development process of digital publishing transformation promotes the overall development of the enterprise. Through verification, this model has high accuracy and reliability, can support the operation of actual enterprises, and plays an important role in the development of enterprises. Finally, based on the content of the article research, we put forward the following suggestions for the transformation and development of digital enterprises (1) conduct market analysis through big data and fuzzy control technology, and clarify market positioning (2) promote traditional publishing and digital publishing through big data and fuzzy control technology Integrated Development of Publishing (3) Cultivate Excellent Composite Talents for Digital Publishing Transformation.
Quality evaluation of physical education in colleges and universities based on fuzzy logic
Authors: Yang Wenqian , Li Cheng
Published: March 2024

This study aims to evaluate the quality of physical education in colleges and universities by using the evaluation method based on fuzzy logic. First, summarize the basic concept of fuzzy logic and its application in the evaluation process. Then, a physical education quality evaluation index system covering teaching quality and students’ physical quality, teachers’ team construction, sports facilities and management is constructed. Then, the evaluation object and evaluation level are determined, and the specific evaluation results and ranking are calculated by fuzzy comprehensive evaluation model. In the empirical analysis, use the simulation data for model application and result analysis, and further find the problems existing in college physical education. Finally, in view of these problems, a series of improvement and optimization suggestions are put forward. This study shows that the evaluation method of physical education quality based on fuzzy logic can effectively reflect the diversity and complexity of education quality, and provide a practical evaluation tool for colleges and universities. At the same time, this study also provides a reference for other universities to help them better understand their own problems, so that they can take effective measures to improve. In addition, this method can be applied to other fields of education quality evaluation in the future, so as to provide more useful information for education reform and development.
Design of signage guidance system for tourist attractions based on computer vision technology
Authors: Zhang Yiheng , Diao Weiqing , Nie Yong , Wang Qin
Published: March 2024

In order to improve tourists’ sense of touring experience, this research proposes a signage navigation system for mobile scenic spots. Firstly, the system uses a recurrent neural network algorithm incorporating convolutional neural network for image recognition function to obtain relevant information through image recognition. Then the target localization of the image is performed according to the single-stage target detection algorithm, and the location of the landscape in which the user is located is localized by the recognized image information. The results show that the algorithm can achieve 86.7% recognition accuracy, and it can recognize part of the image samples when the recognition time reaches the range of 0.8 min–1 min. The single-stage target detection algorithm has a localization accuracy of 97.2% with a minimum loss rate of 1.1%. And the algorithm has high average accuracy and full class average accuracy values. The system has good application value.
Maturity evaluation of real-name management for construction enterprise workers based on PMMM model and AHP algorithm
Authors: Wang Qian , Tian Limei , Yan Hua , Zhang Guodong , Yin Huanhuan
Published: March 2024

Since current real-name management for construction workers is unreasonable, this study has divided the management levels of construction companies into five categories, based on their IT applications. Apart from adopting literature induction approach and the project management maturity model (PMMM), the study also considers the six modules of human resource management. It has solicited expert opinions and evaluated them with different indicators and the improved Delphi method. Moreover, analytic hierarchy process (AHP) is employed to determine the algorithm of multiple indicators and the weights. This study has created a system to evaluate the maturity of real-name management of construction workers, offering reference fo enterprises’ personnel information management. It can also be used for industrial and social supervision to promote real-name management.
The role of big data in the integrated development of culture and tourism public services
Authors: Fan Yuan , Song Xiangru , Wang Rong
Published: March 2024

The integrated development of culture and tourism public services can better enhance the value of scenic spots, promote the spread of Chinese excellent culture, and drive the development of tourism economy. Big data technology can predict the future development law of transactions based on historical data. It can meet the needs of tourists and tourism enterprises in a targeted manner. This paper aims at the integrated development practice of tea culture and tourism public services in the era of big data, analyzes the influencing factors of the integrated development of tea culture tourism and public services in Tianfu Tea Garden and the problems existing in the development process of Tianfu Tea Garden, and designs data analysis algorithms through big data technology, and put forward development suggestions combined with big data technology, mainly including improving the industrial chain; improving the overall development scope of the scenic spot; strengthening the quality training of tea garden employees; improving infrastructure; highlighting the connotation of tea culture in scenic spots; developing and researching new tourism products; increase the publicity and construction of scenic spots, so as to provide reference for the development of tea culture and tourism in Tianfu Tea Garden.
Blockchain-based data sharing algorithm in distributed network data storage
Authors: Cui Shuguang , Wang Haixia
Published: March 2024

This paper proposes a sharing algorithm based on blockchain principles to address the issues of data sharing, low efficiency, and performance in traditional systems. The algorithm is integrated with the domain name system to develop a data storage system based on blockchain. The performance of the sharing algorithm is evaluated, and the data storage system is tested. This demonstrates that the sharing algorithm’s average latency is 436 ms and average throughput is 5439 tps. Furthermore, it outperforms the other comparison algorithms. Additionally, the study conducts performance experiments to compare the data storage system. The data storage system proposed in this study demonstrates a higher average throughput of 6.42*108 tps and a faster data access time of 0.15 s than the other comparison systems. The comprehensive results show that the proposed sharing algorithm and data storage system outperform the comparison algorithm and system in terms of latency, throughput, and data access performance. The constructed model exhibits good centralized and distributed storage crawling performance, which can achieve more secure, efficient, and trustworthy data sharing in distributed network data storage.
The problems and countermeasures of private education management based on fuzzy logic system
Authors: Liu Jingyang
Published: March 2024

At present, private education plays an important role in China’s education system, but there are a series of problems and challenges in the management of private education. The purpose of this study is to discuss and solve the problems existing in the management of private education through the method of fuzzy logic system. Firstly, the application of fuzzy logic systems in related fields is reviewed to understand the potential and advantages of fuzzy logic systems. Then, through the analysis of the main problems in the management of private education, the root of these problems and their impact on the education system are revealed. By establishing a private education management model based on fuzzy logic system, the application and function of this model in problem analysis and decision making are demonstrated. In the analysis of the results, the accuracy and effectiveness of the fuzzy logic system in the management of private education are evaluated, and the targeted management strategies and countermeasures are put forward to solve the problems in the management of private education.
Regional investment risk evaluation based on compound risk correlation coefficient and migration learning approach
Authors: Luo Shuping , Zhu Xiaoyun
Published: March 2024

The high profit of regional investment is often accompanied by high risks, and the prior assessment of investment risks is conducive to avoid investment risks. However, the traditional evaluation methods usually only focus on individual risk factors, and it is difficult to evaluate and manage risks on the whole. Therefore, the study introduces deep learning algorithm, first build regional investment risk evaluation index system, then according to the characteristics of risk evaluation, design based on deep learning regional investment risk evaluation model, the final use parameter based migration learning algorithm and composite correlation coefficient to improve the evaluation model, solve the problem of insufficient training samples. The test results showed that the randomly selected 50 test samples with two different risk assessment models were 0.80 and 0.86, the deep learning algorithm tested 0.84, and the transfer learning improved model tested was 0.92, with the highest accuracy. This shows that the deep learning regional investment risk evaluation model improved by transfer learning effectively solves the problem of insufficient training data and improves the accuracy of prediction evaluation. In the field of venture capital, the model can help investors to evaluate and predict investment risks more accurately and improve the effect of investment decisions.