bluuebunny/crossref_metadata_2025 huggingface dataset:
Biometric Evaluations and Condition Factor of the Mudskipper, Periophthalmus barbarous (Linnaeus, 1766) From Ibaka Mangrove Swamp, Nigeria
Authors: Udoinyang Enenwan Precious , Okon Aniefiokmkpong O. , Akinjogunla Victoria Folakemi , Archibong Itoro J. , Effiong Unwana J. , Essien Emmanuel A.
Published: January 2025

The length-weight relationship and Fulton condition factor (K) of 404 samples of the mudskipper, Periophthalmus barbarus from Ibaka mangrove swamp were investigated for six months (January to June 2022) using standard methods to accommodate both the dry and wet seasons. For the 404 samples, the mean total length was 11.22±0.11 cm while the mean body weight was 16.4±0.48 g. Other biometric data collected includes percentage eye diameter (ED%) ranging between 5.07 and 8.26 cm for May and February, respectively. Percentage head length (HL%) values were between 20.9 and 28.12 cm for May and January, respectively. For percentage body depth (BD%), the least was recorded in April (19.49 cm) while the highest was observed in February (24.55 cm). The Fulton condition factor (K) determined for most of the sampled months showed that the values were above unity (K>1), indicating good living conditions on account of food availability, absence of parasites/predators, and absence of disease. However, K was less than unity (K<1) in February and June, indicating a possible decline in food availability and other factors responsible for growth. The values of the length-weight relationship (b) were greater than 3 (b>3) in almost all the months except in April, having a value of 2.895, indicating that the species exhibited a positive allometric growth pattern. This implied that as the length of the fish increased, there was also a corresponding increase in the weight of P. barbarus from the Ibaka Mangrove Swamp.
Investigation of Some Oat (Avena sativa L.) Genotypes in Terms of Grain Yield and Quality
Authors: Alaturk Seda , Tutenocakli Tulay
Published: January 2025

This research was conducted to compare different agronomic characteristics of some oat (Avena sativa L.) genotypes. The research was carried out in the trial fields of Trakya Agricultural Research Institute, located in Edirne, in 2018-2020. In the experiment, 15 oat genotypes along with 5 standard varieties namely; Kırklar, Kahraman, Küçükyayla, Yeniçeri and Sebat were used. The research plan was designed according to the Randomized Complete Block Design using three replications. In the study, thousand grain weight (TGW), hectolitre weight (HW), relative feed value (RFV), metabolic energy (ME), crude fibre (CF), crude ash (CA) and dry matter digestibility (DMD) characteristics were examined. As a result of this study, all the characteristic values of oat showed significant differences in terms of years except for; DMD. Additionally, all the examined traits showed significant differences in terms of genotypes. The average mean values of TGW, HW, RFV, ME, CF, CA and DMD of examined genotypes showed variation between 24.1-43.2 g, 50.1-62.6 kg/hl, 205.0-328.3, 2.56-2.76 Mcal/kg, 7.88-13.82%, 4.35-5.83% and 73.1-78.3%, respectively. Generally, genotypes 3 and 5 took the first place in terms of grain yield, whereas the genotypes 3, 4, 6, 10 and 11 in terms of grain nutritional values. Consequently, it is concluded that the genotypes 3, 4, 6, 10 and 11 have higher values in terms of the examined traits as compared to the rest genotypes. So, these genotypes would be more suitable for oat cultivation under similar ecological conditions with the expectation of satisfactory economic benefits.
Türkiye’nin Eklem Bacaklı ve Yumuşakça Üretiminin Tahmini
Authors: Eminçe Saygı Hülya , Acarlı Sefa
Published: January 2025

Bu çalışmada Türkiye’nin eklem bacaklı ve yumuşakça üretiminin otoregresif bütünleşik hareketli ortalama (ARIMA) yöntemi ile geleceğe yönelik tahmin modeli geliştirilmiştir. Eklem bacaklı ve yumuşakça üretim miktarının tahmininde uygun modelin belirlenmesi için ARIMA modelinin seçiminde performans ölçüm kriterleri olarak kök ortalama kare hatası (RMSE), ortalama mutlak hata (MAE) ve ortalama mutlak yüzde hata (MAPE), Theil’in U değeri kullanılmıştır. Sonuç olarak bu seçim kriterlerinin seriye en iyi uyan modellerin toplam çift kabuklular üretimi için ARIMA (1,0,1) iken kafadan bacaklılar, karından bacaklılar, toplam yumuşakça üretimi, toplam eklem bacaklı üretimi ve genel toplam (yumuşakça + eklem bacaklılar) üretimi için ise ARIMA (1,0,0) olduğu belirlenmiştir. ARIMA (1,0,0) modeli sonuçlarına göre 2030 yılında toplam yumuşakça ve eklem bacaklı üretimi için üretim miktarında azalış eğilimi öngörülmektedir. Kafadan bacaklı üretiminde ise artış eğilimi tahmin edilmektedir. Dolayısıyla, geleceğe yönelik yapılan modelleme çalışmalarında daha yüksek doğrulukta sonuçlar elde edilebilmesi adına seçilecek veri setinin daha odaklanmış şekilde seçilmesi yararlı olacaktır. İklim değişikliği, müsilaj, kaçak avcılığa bağlı olarak stok yönetimindeki düzensizlikler, istilacı türlerin girişi, hastalıklar, yasal düzenlemeler ve balıkçılık yönetimi politikaları gibi çeşitli faktörler bu türlerin üretim miktarı üzerinde doğrudan etkilidir. Bu nedenle, yumuşakça ve eklem bacaklı türlerinin üretiminin sürdürülebilirliğinin sağlanabilmesi için uygun politikalar planlanmalıdır. Sonraki çalışmalarda balıkçılık yöneticileri ve karar vericiler için gelecekteki üretim miktarlarının tahmin edilmesinde üretimi tetikleyen bu faktörlerin de dikkate alınması yapılacak tahminlerin doğruluğunu artıracaktır.
Statistical Process Control Implementation in Inspection of Active Medicinal Compound Quality: A Model of First-Generation Antihistaminics
Authors: Essam Eissa Mostafa
Published: January 2025

This study is part of a large project that includes surveying and screening medicinal compounds manufactured by chemical and pharmaceutical plants, notably in Asian countries and exported to developing countries. The current investigation focused on the active pharmaceutical ingredients (API) of one of the first-generation antihistamines of ethanolamine class known as 2-(diphenylmethoxy)-N,N-dimethylethanamine hydrochloride according to the International Union of Pure and Applied Chemistry (IUPAC) nomenclature. Harmonization of the specifications and analysis criteria were harmonized and all raw materials were claimed to be complying with the British Pharmacopoeia (BP) according to the manufacturers. Accordingly, all testing procedures were done according to the official standard methods detailed in the monograph of the chemical molecule. The selected tests were acidity or alkalinity, related substances, loss on drying (LOD), sulfated ash and assay (based on dried substance). Datasets were gathered and processed using Statistical Process Control (SPC) software. Preliminary data examination was done using box plots and distribution identification for screening the best-fitting one. With the exception of the assay, all results showed a failure to follow specific dispersion. All raw data failed normality tests (Anderson-Darling test, P < 0.05). Accordingly, the output of the tests was adjusted to fit the application of the attribute charts. Laney modification was used to correct data dispersion. The correction factor acidity/alkalinity, impurity A, any other impurities, total impurities, LOD and sulphated ash were 1.003, 1,18568, 1.21158, 1.71165, 1.44613 and 0.883609, respectively. Control chart for normal data was used after Johnson transformation following equation 0.558 + 1.211 x Ln ((X – 98.929)/(101.13 – x)). It should be noted that even when there was no out-of-specification there were several out-of-control points that highlight the necessity for appropriate investigation and correction for assignable causes of variations between batches. There should be governmental enforcement of industrial SPC rules for the quality and safety of the supplied medicinal substances from the chemical manufacturing companies.
Tracking Stability Using Shewhart Charts to Elucidate Trending Patterns in Glyceryl Guaiacolate Assay: Paving the Way for Quality Improvement in Medicinal Chemical Industry
Authors: Essam Eissa Mostafa
Published: January 2025

Shewhart charts are a crucial part of statistical process control, or SPC, which tracks and regulates the pharmaceutical compound’s inspection properties. It serves to shed light on the process’s present state and, if necessary, the future improvements that will be needed. The trending pattern for the glyceryl guaiacolate assay is the main subject of this investigation. SPC software is used in this work. Following the selection of the most appropriate underlying distribution, Individual-Moving Range (I-MR) charts are used as a trending method for the data. Since some batches in the time series sequence show indications of out-of-control points, improvements are needed to enhance the quality of inspection attributes. Accordingly, capability analysis will not be relied on at this stage till the stabilization of the process. This study highlights the vital role of control charts in ensuring the quality of chemical materials. It contributes to building a robust industrial regulatory system by analyzing the quality of medicinal compounds from chemical manufacturers, especially in developing countries.
Comparative Assessment on the Growth Performance of the African Catfish, Clarias gariepinus Fingerlings Fed Two Commercial Feeds in Nigeria
Authors: Essien Emmanuel A. , Okon Aniefiokmkpong O. , Udoinyang Enenwan Precious , Abasubong Kenneth Prudence , Akinjogunla Victoria Folakemi
Published: January 2025

Catfish is a sufficiently rich protein source in man’s meals. However, the operational activities, costs of managements and fish production have caused famers to leave the industry. Therefore, this study is aimed at assessing the growth performance of the African Catfish; Clarias gariepinus fingerlings fed two commercial feeds. Eighty randomly selected African sharp-tooth catfish (C. gariepinus) fingerlings of 2.25±0.24 g (mean body weight) were fed two different commercial feeds for 10 weeks to compare their growth performance. The feeds were Coppens (Treatment 1) and Vitafeed (Treatment 2). A completely randomized design and plastic aquaria with dimensions of (40×40×50) cm3 were used for the experiment. The fingerlings were fed 5% of their body weight twice daily after seven days acclimatization before commencement of feeding trial. The fish were designed in duplicate of 20 fish per tank. Collected data from each parameter were subjected to a one-way analysis of variance (ANOVA) and 5% level of significance (p<0.05) mean of various results were compared. The growth parameters considered and physicochemical parameters measured and monitored and maintained at optimal levels respectively. The results obtained showed that fishes fed Coppens performed better in final body weight (53.10±1.37) while Vitafeed recorded (38.10±0.94g). Coppens showed better performance in all growth parameters with 100% survival rate. pH, temperature, and dissolved oxygen showed no significant difference (p<0.05) among treatments. They were maintained at of 6.3–6.5, 27.55–28.70°C and 6.5–6.9 mg\l, respectively, which were within the recommended physiochemical parameter ranges for proper fish growth. It is concluded that, although fish fed with Coppens recorded overall best performance, Vitafeed is equally recommendable since there was no significant difference in the overall growth performance. However, based on affordability Vitafeed is more favoured for farmers in order to ensure better returns on investment.
Uji Viabilitas Micromonospora Sp. dari Rhizosfer Tumbuhan di Ekosistem Karts Gorontalo pada Medium Pertumbuhan Beras
Authors: Lanti Syahrul , Retnowati Yuliana , Kandowangko Novri Youla , Hasan Ani M , Katili Abubakar Sidik
Published: January 2025

Micromonospora sp. are gram-positive actinobacteria native to soil that produce various compounds that support plant growth, including antifungals, biopesticides, and growth hormones that play an important role in root development and nutrient absorption that can be found in various ecosystems with different variations in humidity, pH, and temperature conditions. This study aims to test the viability of micromonospora isolated from the rhizosphere of plants in the Gorontalo karst ecosystem on growth media based on propagation using rice media. This research uses quantitative descriptive method. This study uses one isolate of Micromonospora sp. which has been selected from previous researchers through indole acetic acid (IAA) test, phosphate dissolution test, antagonism test, and fungicide resistance test. Samples were taken from karst ecosystems in Hulonthalangi and Kota Barat districts, Gorontalo province. Based on the results of propagation on rice media indicated a change in the media inoculated with micromonospora, marked by a change in the color of rice to orange. Conversely, on rice media without micromonospora inoculation, no color change occurred. Furthermore, the viability test showed that the highest number of actinomycetes colonies was found at the 10-⁴ dilution level with a value of 6.5 CFU/gr. This indicates that actinomycetes are able to grow on rice growth media.
PERNIKAHAN PEREMPUAN KLAN BA’ALWI (SYARIFAH) DENGAN PRIA NON KLAN BA’ALWI DI DESA GALIS KECAMATAN GALIS KABUPATEN BANGKALAN MADURA DALAM PERSPEKTIF FIKH DAN SOSIOLOGI
Authors: Muchlis Ibrohim
Published: January 2025

Penelitian ini mengkaji aspek fikh dan sosiologi dari peristiwa pernikahan perempuan syarifah dari klan ba’alawi yang bernama Syarifah Nawira Vad’aq dengan seorang pria diluar klan Ba’alawi yang bernama Badrul Qomar, dimana penelitian ini menggunakan konsep Kafa’ah (kesetaraan dalam aspek nasab) dari aspek fikh, dan empat teori sosial yaitu stratifikasi sosial, norma dan nilai budaya, mobilitas sosial dan perubahan sosial, meskipun peneliti lebih cenderung dengan teori perubahan sosial.
Penelitian ini menggunakan metodologi kualitatif dengan pendekatan etnografi sebagai alat mengetahui sejarah klan Ba’alawi sekaligus tradisi pernikahan endogaminya, dan pendekatan Studi Kasus yang mana penelitian ini hanya tertuju kepada subjek penelitian Syarifah Nawira Vad’aq dan Badrul Qamar di Desa Galis Kecamatan Galis Kabupaten Bangkalan Madura. Dan hasil penelitian menunjukkan adanya keteganangan antara memertahankan tradisi dan perubahan sosial yang lebih modern, hal tersebut terbukti keduanya dapat diterima kembali di keluarga besar Syarifah Nawira Vad’aq setelah 6 tahun pernikahan setelah ia melahirkan seorang anak laki-laki.
Penelitian ini juga bisa memberikan kontribusi penting dalam memahami dinamika hukum dan sosial terkait pernikahan endogami dikalangan ba’alawi itu sendiri dan masyarakat Madura pada umumnya. Serta implikasi terhadap perubahan norma sosial dikalangan Islam tradisional yang tetap bertahan akan tradisinya.
PERSEPSI MAHASISWA STIT AL IBROHIMY BANGKALAN TERHADAP PENGGUNAAN CHATGPT SEBAGAI ALAT BANTU PENULISAN TUGAS KULIAH
Authors: Fauzi Muhammad , Arifin Moh. Samsul
Published: January 2025

Era digital membawa perubahan yang urgent dalam dunia pendidikan, salah satunya melalui pemanfaatan teknologi kecerdasan buatan atau Artificial Intelligence (AI) seperti ChatGPT. Teknologi ini mampu membantu mahasiswa dalam banyak aspek akademik, terutama penulisan tugas kuliah. Penelitian ini bertujuan untuk mengeksplorasi persepsi mahasiswa STIT Al Ibrohimy Bangkalan terhadap penggunaan ChatGPT sebagai alat bantu penulisan tugas kuliah, dengan menyoroti aspek efektivitas, kemudahan, serta etika penggunaannya dalam konteks pendidikan berbasis nilai-nilai keislaman. Pendekatan Mix Method, yang menggabungkan metode kualitatif dan kuantitatif. Untuk bagian kualitatif, data dikumpulkan melalui wawancara mendalam dengan mahasiswa dan observasi terhadap penggunaan ChatGPT dalam kegiatan akademik mereka. Pendekatan kualitatif ini memungkinkan pemahaman yang lebih mendalam mengenai pengalaman dan persepsi mahasiswa terhadap penggunaan ChatGPT dalam menyelesaikan tugas kuliah. Di sisi lain, data kuantitatif diperoleh melalui angket yang dirancang untuk mengukur frekuensi penggunaan, efektivitas, dan efisiensi ChatGPT berdasarkan persepsi mahasiswa. Hasil penelitian menunjukkan bahwa sebagian besar mahasiswa merasa bahwa ChatGPT efektif dalam mempercepat proses penulisan tugas, namun mereka juga menyadari pentingnya verifikasi ulang informasi yang diberikan. Penelitian ini memberikan kontribusi terhadap pemahaman tentang penggunaan teknologi dalam konteks pembelajaran dan memberikan rekomendasi untuk pengembangan lebih lanjut dalam penerapan teknologi berbasis AI di perguruan tinggi.
PENGARUH KOMPETENSI PROFESIONAL PENDIDIK DALAM MENGEMBANGKAN KARAKTER SISWA (Implementasi Kurikulum Merdeka di MIN 1 Sumenep)
Authors: Maulidina Nadila , Karimah Anisatul
Published: January 2025

This research aims to determine the potential of professional teachers in the independent curriculum to develop the character of MI Negeri 1 Sumenep students. The method used in this writing is the descriptive-qualitative research method, which is a research method by observing, analyzing, observing, interviewing and describing an event or phenomenon that occurs in a research object. So professional teachers form character so that students have potential in their personalities. Applying the character formed by professional teachers is very beneficial.
PENGARUH DIRECT METHOD TERHADAP KETERAMPILAN BERBICARA BAHASA INGGRIS SISWA DI MADRASAH IBTIDAIYAH
Authors: Makrifah Nurul , Fauzi Nur
Published: January 2025

Latar belakang penelitian ini adalah problem keterampihan speaking siswa yang kurang diasah dan kurangnya metode pembelajaran yang efektif dalam menunjang tumbuh kembang keterampilan speaking siswa. Maka dirumuskanlah rumusan masalah pada penelitian ini sebagai berikut, bagaimana respons siswa terhadap implementasi direct method di kelas 4 MI An-Nuriyah, bagaimana kemampuan berbicara bahasa Inggris siswa kelas 4 MI An-Nuriyah, bagaimana pengaruh direct method terhadap kemampuan berbicara bahasa Inggris siswa kelas 4 MI An-Nuriyah. Penelitian ini dilakukan di kelas 4 MI An-Nuriyah, Kwanhyar, Bangkalan. Dengan menggukan jenis penelitian kuantitatif deskriptif, dan pengumpulan datanya dengan menggunakan metode observasi, angket kepada peserta didik, wawancara, dan Dokumentasi. Hasil penelitian membuktikan bahwa pertama, ada pengaruh Implementasi direct method terhadap keterampilan berbicara bahasa Inggris siswa di kelas 4 MI An Nuriyah, hal ini terbukti dari hasil analisis data, bahwa nilai r hitung 0,723 lebih besar daripada nilai r tabel product moment, dimana pada N=40 dalam interval kepercayaan 5% diperoleh nilai 0,312 dan dalam interval kepercayaan 1% diperoleh nilai 0,403. Kedua, Implementasi direct method mempengaruhi keterampilan berbicara bahasa Inggris siswa di kelas 4 MI An Nuriyah, karena nilai r hitung 0,723 berada pada rentetan angka 0,600 sampai 0,800 dengan interpretasi tinggi/ kuat.
PENGARUH MEDIA BERMAIN SNAKES AND LADDERS CARD TERHADAP KETERAMPILAN BERFIKIR PESERTA DIDIK DALAM PEMBELAJARAN IPAS KELAS IV DI UPTD SDN LONGKEK 1
Authors: Afandi Idris , Hasbi Maulana Rohis
Published: January 2025

Latar belakang penelitian ini adalah problem keterampihan berifikir anak yang kurang diasah dan kurangnya pemanfaatan media yang efektif dalam menunjang tumbuh kembang keterampilan berifikir anak. Keterampilan berfikir tersebut juga berada pada keterampilan Basic Thingking (Pemikiran Dasar) anak, dimana keterampilan berfikir ini berfokus pada pemahaman, penghafalan dan cara peserta didik dalam menjawab pertanyaan yang dilontarkan oleh pendidik. Sehingga dirasa perlu dilakukannya penelitian yang mengupas masalah dan mencari solusi dibalik permasalahan yang telah terlihat pada pemaparan diatas. Sehingga sejalan dengan permasalahan yang ada pada latar belakang diatas, maka dirumuskanlah rumusan masalah pada penelitian ini sebagai berikut: Bagaimana Implementasi Media Bermain Snakes And Ladders Card Terhadap Keterampilan Berfikir Peserta Didik, Penelitian ini dilakukan di UPTD SDN Longkek I, Kec. Galis. Kab. Bangkalan. Dengan menggukan jenis penelitian kuantitatif deskriptif, dan pengumpulan datanya dengan menggunakan metode Observasi (Kondisi tempat, pserta didik dan kegiatan sekolah), Kuisioner/Angket kepada peserta didik, Wawancara kepada wali kelas/guru kelas, dan Dokumentasi disetiap kegiatan penelitian. Hasil penelitian dari penerapan media ajar ini, peneliti memporoleh hasil yang sangat baik, hal ini terlihat dari hasil kuisioner/angket dan lembar observer yang memiliki bobot skor yang tergolong sangat baik yaitu dikisaran skor 80-100 nominal maupun persentase jawaban positif. Hal ini dikuatkan dengan data analisis yang mengacu dari hasil product moment, yaitu sebagai berikut: dimana r hitung diperoleh sebesar 0,846 dan r tabel sebesar 0,413 dengan artian bahwa r hitung > r tabel. Maka  ditolak dan  diterima, artinya ada pengaruh Media Snakes And Ladders Card Terhadap Keterampilan Berpikir Peserta Didik Di UPTD SDN Longkek 1.
Pendidikan Agama Bagi Anak Usia Dini Melalui Metode Bercerita di Taman Kanak-kanak Dharma Wanita Persatuan Waru Sidoarjo
Authors: Fitriyanti Nur
Published: January 2025

Penanaman nilai-nilai agama yang diberikan kepada anak pra sekolah atau usia TK, sebelum mereka berpikir secara logis dan memahami hal-hal yang abstrak, serta belum dapat membedakan hal yang baik dan buruk, dibutuhkan contoh-contoh, latihan-latihan dan pembiasaan-pembiasaan. Apabila penanaman nilai-nilai agama pada anak tidak dibiasakan sejak dini maka, kelak dikemudian hari anak akan menjadi orang yang melupakan agamanya, dekadensi moral dari anak-anak usia sekolah sudah banyak yang keluar dari jalur ajaran agama. Jenis penelitian ini adalah berupa penelitian kualitatif, yakni penelitian yang dilakukan adalah melalui pendekatan kualitatif dengan memakai bentuk studi kasus (case study), yang menjadi tujuan penelitian kualitatif ini adalah menggambarkan realitas empiris sesuai dengan gejala yang ada secara mendalam, rinci dan tuntas. Oleh sebab itu, jenis penelitian yang dilakukan adalah studi kasus (case study). Penelitian ini akan mendeskripsikan secara sistematis, faktual dan akurat tentang pendidikan agama bagi anak melalui metode bercerita di Taman Kanak-kanak Dharma Wanita Persatuan Waru Sidoarjo. Hasil penelitian menunjukkan  (1) Pelaksanaan metode bercerita dalam menanamkan nilai-nilai agama bagi anak usia pra sekolah dilakukan dengan cara menyajikan sesuatu yang abstrak menjadi konkrit, ketika anak antusias dan terbawa cerita karena didorong oleh rasa ingin tahu maka pada saat itu merupakan saat yang tepat untuk memberikan nilai-nilai agama yang dikemas dalam sebuah cerita. (2).  Respon anak di TK Dharma Wanita Persatuan Waru Sidoarjo terhadap metode bercerita dalam proses belajar mengajar. Secara umum anak-anak di taman kanak-kanak senang mendengar cerita, ketika seorang guru akan menyajikan sebuah cerita, maka anak dengan tertib dan antusias mendengarkan apa yang diceritakan guru. Akan tetapi untuk dapat diterima atau tidaknya sebuah cerita olah anak, hal ini yang paling utama tergantung pada peran seorang guru dalam mengapresiasikan cerita tersebut
Penerapan Teknik Kolase dalam Memfasilitasi Pertumbuhan Kreativitas Seni Anak Usia Dini
Authors: AR Zaini Tamin , Mukmin Viranda Ainun
Published: January 2025

Dalam mengembangkan kreativitas seni anak usia dini, guru kerap mengalami kendala, baik dari ketersediaan bahan atau faktor variasi mengajar. Padahal, kreativitas seni dapat menghasilkan sesuatu yang baru, baik berupa gagasan atau berupa karya yang orisinil dan relatif berbeda. Penelitian ini bertujuan untuk menganalisis penerapan kegiatan kolase dalam mengembangkan kreativitas seni anak usia dini di PAUD Mutiara Ummi Baby School Child and Care Sidoarjo. Penelitian dengan pendekatan kualitatif deskriptif ini menemukan bahwa, perkembangan kreativitas seni anak di PAUD Mutiara Ummi Baby School Child and Care Sidoarjo melalui kegiatan kolase pada tingkat berkembang sangat baik. Mayoritas anak dapat mengembangkan bakat dan kreativitas seninya, meskipun dalam kadar yang berbeda-beda. Oleh karena itu, guru hendaknya dapat mengembangkan kegiatan kolase dalam pembelajaran untuk mengembangkan kreativitas seni anak. Seiring dengan itu, lembaga diharapkan dapat menyediakan berbagai sarana dan prasarana dalam kegiatan pembelajaran guna mengembangkan kreativitas seni anak secara optimal.
Pengenalan Sains melalui Bermain Rasa menggunakan Media Bahan Dapur untuk Memperluas Pengalaman dan Pengetahuan Anak Usia Dini
Authors: Azis Abd , AN Mariyatur
Published: January 2025

Sejatinya manusia mampu untuk menjadi individu Kreatif namun perbedaanya terdapat pada kemauan seseorang Untuk menjadi kreatif. Dengan kata lain Kreativitas anak Dikoordinasikan oleh kekhasan ide dan juga pertumbuhan Imajinasi dan fantasi. Anak kreatif peka terhadap rangsangan dan Rangsangan yang mereka dapatkan dari lingkungan. Maka dari itu penulis memilih menggunakan media bahan dapur yang mudah di jumpai sebagai alat eksperimen untuk mengenalkan berbagai macam rasa pada anak.Bermain rasa memberikan kesempatan pada anak untuk merasakan rasa, bau, tekstur (kasar dan halus) melalui indranya. Dengan bermain rasa, anak diajak bereksplorasi dan bereksperimen dengan melihat, menyentuh, mencium dan merasakan sesuatu dalam kehidupan nyata Hasil penelitian ini menunjukkan bahwa pembelajaran sains melalui eksplorasi sensorik dengan bahan-bahan dapur dapat menjadi metode yang efektif untuk anak usia dini.Akan tetapi efektivitasnya bergantung pada berbagai faktor, termasuk karakteristik pribadi anak, lingkungan belajar, dan pendekatan  pendidik. Dari hasil penelitian 5 Orang Anak menunjukkan kemampuan yang lebih baik dalam mengeksplorasi dan mendeskripsikan pengalaman indrawi mereka. Ini sejalan dengan teori perkembangan kognitif Piaget, yang menekankan pentingnya pengalaman konkret dalam pembelajaran anak usia dini.[1] Kemampuan mereka untuk membuat perbandingan dan menghubungkan pengalaman baru dengan pengetahuan yang sudah ada menunjukkan perkembangan kemampuan berpikir asosiatif yang baik. Di sisi lain, kesulitan yang dialami oleh 5 orang anak lainnya mungkin mencerminkan adanya perbedaan dalam kematangan kognitif atau pengalaman sebelumnya.
Telaah Kritis pada Kurikulum Merdeka Pendidikan Anak Usia Dini di Indonesia
Authors: Ramli Ramli
Published: January 2025

Penelitian ini mengkaji penerapan Kurikulum Merdeka dalam konteks pendidikan anak usia dini di Indonesia dengan fokus pada bagaimana kurikulum ini mendukung prinsip “merdeka belajar” dan mengintegrasikan Proyek Penguatan Profil Pelajar Pancasila (P5) dalam proses pembelajaran. Melalui metode studi pustaka, penelitian ini menganalisis berbagai literatur terkait kurikulum, konsep merdeka belajar, dan pendekatan berbasis proyek. Temuan menunjukkan bahwa Kurikulum Merdeka menawarkan fleksibilitas dan relevansi dalam pembelajaran dengan mendorong kreativitas, keterampilan berpikir kritis, dan kolaborasi di kalangan anak usia dini. Pembelajaran berbasis proyek dalam P5 memperkuat pembentukan karakter dan memberikan pengalaman belajar yang kontekstual dan interaktif. Penelitian ini juga mengidentifikasi tantangan dalam implementasi kurikulum baru serta perlunya dukungan dan pelatihan berkelanjutan untuk pendidik. Kesimpulan dari studi ini menggarisbawahi pentingnya evaluasi dan penyesuaian terus-menerus untuk memastikan efektivitas Kurikulum Merdeka dalam meningkatkan kualitas pendidikan anak usia dini di Indonesia.
Implementasi Metode Pretend Play untuk Meningkatkan Financial Education pada Anak Usia Dini di Taman Kanak-kanak Nurul Basmalah Daleman Galis Bangkalan
Authors: Syahid Ishak
Published: January 2025

Penelitian ini dilakukan atas dasar minimnya orang tua yang mengajarkan financial education pada anak serta rendahnya kemampuan anak dalam memahami pengelolaan uang yang baik. Tujuan penelitian ini adalah untuk mengetahui hasil dari implementasi metode pretend play terhadap financial education anak usia dini serta faktor pendukung dan penghambatnya. Penelitian ini dilakukan di TK Nurul Basmalah kecamatan Galis Kabupaten Bangkalan. penelitian ini menggunakan pendekatan penelitian kualitatif dengan jenis penelitian studi kasus. Pengumpulan datanya menggunakan metode observasi, wawancara dan dokumentasi. Hasil dari pembahasan dalam penelitian ini menunjukkan bahwa dalam penerapan financial education pada anak usia dini melalui metode pretend play terdapat peningkatan dan perubahan perilaku anak yakni anak memahami jenis uang, kegunaan uang serta kebutuhan dan keinginan. Sedangkan hasil dari analisis data menunjukkan bahwa penerapan financial education atau literasi keuangan melalui metode pretend play terdapat peningkatan yaitu anak dapat mengenal jenis uang, kegunaan uang, kebutuhan dan keinginan serta anak terbiasa menabung. Namun, peningkatan terhadap literasi keuangan ini masih bertahap dan membutuhkan proses yang panjang dan berkesinambungan.
Peasant Uprisings in Colonial Assam (1861-1894): A Historical Analysis
Authors: Shafi Ullah Khan
Published: January 2025

The English East India Company came to India solely for the purpose of business. Only after the Battle of Plassey in 1757, the British started to implement the ideology of Imperialism in India by gradually expanding its political influences over India and making it their colony. With this, the British sought to reshape the socio economic structure of the Indian society. In order to meet up the home charges, expenses of the company and its officials, they devised and implemented various policies to extract as much revenue as possible. Since agriculture was the primary source of revenue, it was on the shoulder of the Indian peasants that the burden of increased taxes was imposed. In the wake of these obligations, major peasant uprisings occurred which were not unnatural. Thus the history of India during the 200 years of British rule is embedded with numerous peasant uprisings, which mobilised thousands of peasants and affected the entire society.
Study on Momentum Assessment in Tennis Matches Based on Dynamic Weights and Machine Learning
Authors: Liu Qinghua , Zhu Boshen , Wang Jiran , Sun Tongtong
Published: January 2025

In recent years, with the popularization and technological progress of tennis, momentum has been an important indicator of changes in the players' state. Traditional evaluation methods cannot fully reflect their dynamic changes and multi-factor effects, so it is essential to establish a more accurate momentum evaluation model. In this study, seven key indicators, such as serve advantage, breakpoints, etc., were selected to measure momentum fluctuations in matches, and weight was assigned to each indicator to reflect their importance in the overall momentum. Among them, for serving advantage, the dynamic weight Wdy-serve is newly introduced in this study. Moreover, the momentum fluctuation of players in the tiebreaker between Carlos Alcaras and Novak Djokovic is further analyzed, and its effectiveness is verified using the match results. Further, to evaluate index influence on momentum, this study conducted an XGBoost and decision tree algorithm performance, based on analyzing the interpretability displayed shapes. Finally, the XGBoost model with better performance is selected for deep training and iteration in this study. To better understand the influence of each momentum index on the prediction results, this study uses the SHAP model to analyze the correlation of the training set data. Among them, serve advantage and breakpoints are the two most influential indicators, and they contribute the most to the prediction of momentum fluctuations. The dynamic weight Wdy-serve is particularly helpful in capturing the fluctuations in a player's serve performance during a match. The analysis results of this study show that the change of momentum is not only closely related to the technical performance of the players but also significantly related to psychological factors.
Sensory Stimulation and User Experience of Virtual Reality in Game Design
Authors: Wu Wenxi
Published: January 2025

Virtual reality technology has the characteristics of strong immersion, realistic experience, and rich imagination. Therefore, virtual reality technology has also been applied in many fields. Currently, its main application is in the gaming field.As technology advances, the demand for immersion in virtual reality games by players continues to grow. Simple sensory stimulation and experience cannot meet the practical needs of current players, and the iterative upgrade of virtual reality game design is urgent. In light of this, Starting from the development and current research status of virtual reality games, this study sorts out the key elements of virtual reality game design, explores important design theories and methods, and ultimately explores and summarizes the current design methods of virtual reality games around the improvement of interaction design and user experience. It is hoped that through literature review and summary, it can provide reference and guidance for the future development of virtual reality games.
Optimizing Apache Spark for Healthcare Big Data Management
Authors: Lian Zihao , Lin Xitong , Yin Liuyuan
Published: January 2025

The advent of big data in the healthcare sector necessitates real-time data analysis and processing capabilities to enhance medical decision-making. This study explores the optimization of Apache Spark, a powerful big data processing framework, for healthcare big data management. The research aims to assess Apache Spark's performance in handling large volumes of healthcare data and its potential for integration with emerging technologies. Utilizing the Medical Information Mart for Intensive Care (MIMIC-III) dataset, the study conducts a comparative analysis and benchmarks Apache Spark against other analytics tools, focusing on its efficiency and effectiveness in the healthcare domain. The methodology includes an in-depth examination of Spark's architecture, Spark Streaming for real-time data processing, and Machine Learning Library (MLlib) for machine learning tasks. Experimental results demonstrate that Apache Spark significantly improves the quality and efficiency of healthcare services through its high-performance and real-time computational capabilities. The study concludes with insights into future development, emphasizing the need for enhanced security and compatibility with evolving healthcare technologies. This research advances healthcare analytics, providing a roadmap for optimizing Spark's performance while ensuring data privacy and security.
Machine Learning in Data Analysis and Visualization in Healthcare
Authors: Wang Yimin
Published: January 2025

Data visualization becomes an important tool for effective processing and analysis of large databases during epidemics, helping researchers, public health experts, and policymakers quickly identify trends, patterns, and anomalies by translating complex data into easy-to-understand graphs and charts. This study examines the application of Python and machine learning techniques to the analysis of outbreak data, specifically the methods used to process and analyze data during the COVID-19 outbreak. This paper concludes that data cleaning and feature extraction are important to ensure the accuracy and consistency of data. Furthermore, appropriate for the prediction of epidemic trends is the ARIMA model. Random Forest may therefore be used for case categorization as well as for SEIR model-based epidemic simulation. The huge possibilities of machine learning in enhancing the science and efficiency of public health decision-making are exposed in this work. At last, for the next pyhton applications, model interpretability, and data privacy protection become increasingly critical. This work offers a useful guide for further investigation and optimization of machine learning use in healthcare.
Two-Dimensional Semiconductor Materials
Authors: Chen Jifan
Published: January 2025

Compared to traditional three-dimensional semiconductors, two-dimensional semiconductors exhibit a multitude of distinctive electronic transport and optical properties at the nanoscale. These exceptional properties, such as enhanced electron mobility, direct bandgap, and quantum confinement effects, offer groundbreaking possibilities for the development of novel nanoelectronics and optoelectronics devices. The unique characteristics of 2D materials enable the creation of ultra-thin, flexible, and highly efficient devices that can perform tasks previously unattainable with conventional materials. This opens up new avenues in various fields, including high-speed transistors, advanced photodetectors, and next-generation light-emitting diodes (LEDs), thereby revolutionizing the landscape of modern technology. Through the design of layered structures, two-dimensional semiconductors can achieve controlled quantum confinement effects in the vertical direction, demonstrating excellent charge carrier transport properties and optical characteristics. For instance, graphene is one of the most well-known two-dimensional semiconductors. It possesses high electron mobility and exceptional mechanical strength, making it suitable for flexible electronics and sensor technologies. In addition to graphene, materials such as molybdenum disulfide and tungsten disulfide also exhibit unique optoelectronic properties that can be utilized in photodetectors and photovoltaic devices. Research on these materials not only contributes to a deeper understanding of electronic behavior at the nanoscale but also has the potential to drive further miniaturization and performance enhancement of semiconductor devices. Overall, two-dimensional semiconductors represent a frontier research direction in the field of semiconductor materials, offering promising opportunities and challenges for the future development of nanoelectronics and optoelectronics.
Research on genetic disease identification and classification model based on combined sampling and random forest feature selection
Authors: Li Jianzhang
Published: January 2025

Machine learning classification models have been widely used in gene identification tasks. However, high-dimensional gene loci and label imbalance are still urgent problems to be solved. To this end, this paper proposes a classification model that combines combinatorial sampling and random forest feature selection. This method applies random forest to randomly selected subsamples for feature selection, aiming to retain effective prediction information and alleviate the impact of the curse of dimensionality. In addition, the random subsamples after feature selection can be used in combination with any classification model. Experiments show that the proposed method is superior to a variety of classic classification models in terms of accuracy and efficiency.
Research on AI-Generated Text Detection Based on Machine Learning Models
Authors: Zeng Moran
Published: January 2025

The purpose of this research is to ensure the authenticity of information, guarantee the reliability and credibility of information sources, and prevent the spread of false information, fabricated data, and misleading content. In the academic field, detecting AI-generated papers, articles, and assignments helps maintain academic integrity, prevent academic fraud and plagiarism, and thus improve academic capabilities. This study summarize the characteristics of the three selected models, which are Logistic Regression, Support Vector Machine (SVM), and Naive Bayes (NB) Classifier. And provide recommendations and directions for improvement in the choice of detection models for AI-generated content. Through comparison of three models—logistic regression, SVM, and Naive Bayes—on the same dataset in terms of Accuracy, Precision, and F1-score, it is determined that logistic regression performs the best for this type of dataset. Logistic regression achieves superior performance with metrics exceeding 90%. SVM shows suitability for large datasets with metrics around 70% in this dataset. However, Naive Bayes, typically suitable for smaller datasets, performs poorly on this dataset, achieving only 50% accuracy.
Matrix Optics in Optical Communication Systems
Authors: Zhao Zhexi
Published: January 2025

The concept of Matrix Optics is explained in detail and some key matrices which are used in Optics are given, including ABCD matrices and Jones matrices. Some examples of matrices to model optical components are provided. The basic principles of Optical Communication Systems are explicated, along with their principal components. The key performance metrics are mentioned, each with a brief explanation: Bandwidth, signal-to-noise ratio, and bit error rate. The applications of Matrix Optics in Optical Communication Systems are investigated, as well as some advanced techniques and technologies. In this regard, bends causing signal propagation in optical fibers, optical amplifiers, and resonators are explained; advanced techniques such as adaptive optics in modulating the atmospheric turbulence, space division multiplexing in describing the scrambling of the spatial modes, and Non-linear Optical Effects in quantum systems are mentioned.
Leveraging Transfer Learning for Enhanced Internet Security: Methods and Applications
Authors: Chen Chang
Published: January 2025

Internet technology is developing rapidly today. It not only brings new experiences to people but also brings huge security risks. The attack methods of cyber criminals are becoming more and more complex and unpredictable. The rise of artificial intelligence offers promising solutions for detecting and mitigating network attacks, but challenges such as insufficient and imbalanced datasets continue to hinder the effectiveness of these models. Transfer learning has emerged as a valuable technique to address these challenges by transferring knowledge and parameters from a source domain model to a target domain. This approach can reduce training costs, save time, enhance data utilization, and address data imbalance issues. This article provides a detailed examination of transfer learning, including its definition, methodologies, and specific applications within the Internet domain. It explores three key scenarios: network anomaly detection, malicious domain name detection, and rumor detection. By offering a comprehensive overview of transfer learning and its practical implementations, this paper hopes to help readers acquire a clear and comprehensive concept of transfer learning and its relevance to Internet security, serving as a valuable resource for those interested in this field.
Research of Flexible and Wearable Solar Cells
Authors: Chu Yiwei
Published: January 2025

Solar power has been widely acknowledged to be the purest and most economical power in the 21 st century. Flexible wearable solar cells are becoming the first choice for power generation because of their high power to weight ratio, stable mechanics, affordable and practical applications. Additionally, the rapid advancement of wearable devices and transport has created a need for flexible and portable power sources with adequate mechanical stability to support such advanced technologies. Flexible, wearable PV devices provide the perfect way to solve the problem. This paper gives a summary of recent studies and advances in the area of flexible wearable solar cells. I classify the PV modules into 5 categories – fiber, organic, GaAs, perovskite-based, and metal-dichalcogenide, and discuss their mechanism, operating principle, optics, and latest developments. In the end, I give an overview of the techniques and suggest their possible use in the future.
Impact of Key Drivers on New York Traffic Flow: A Comprehensive Study
Authors: Chen Zhaoxi
Published: January 2025

This study aims to predict traffic volumes in New York City using integrated datasets from transportation, weather, and collision records. The author employed multiple machine learning models, including Random Forest Regressor, XGBoost, LightGBM, and an Ensemble Model combining Random Forest and LightGBM, to utilize their strengths. The data preprocessing involved cleaning, merging, and encoding categorical features, resulting in a comprehensive dataset that integrated traffic volume, collision, and weather data. The findings indicated that the LightGBM model achieved the highest accuracy with the lowest error rates (MSE: 1336.12, RMSE: 36.55, MAE: 26.35, R²: 0.9788). While comparing with other studies, the models, particularly LightGBM, provided superior predictive performance. Despite the promising results, the limited dataset size and computational complexity posed challenges. Therefore, in the future, the research should focus on expanding the dataset, exploring advanced ensemble techniques, and evaluating the applicability of the model across different subpopulations to enhance the robustness and universality of traffic volume predictions.
Comparative Evaluation of GPT, BERT, and XLNet: Insights into Their Performance and Applicability in NLP Tasks
Authors: Zhou Chuxi
Published: January 2025

Natural Language Processing (NLP) is a pivotal area in artificial intelligence, aiming to make computers capable of understanding and generating human language. This study evaluates and compares three prominent NLP models—the Generative Pre-trained Transformer (GPT) model, Bidirectional Encoder Representations from Transformers (BERT) model, and Generalized Autoregressive Pretraining for Language Understanding (XLNet)—to determine their strengths, limitations, and suitability for various tasks. The research involves a comprehensive analysis of these models, utilizing well-established datasets such as the Stanford Question Answering Dataset (SQuAD), General Language Understanding Evaluation (GLUE), Reading Comprehension from Examinations (RACE), and the Situations with Adversarial Generations (SWAG). The study explores each model's architecture, pre-training, and fine-tuning processes: GPT’s unidirectional approach is assessed for its language generation and handling of long-range dependencies; Bidirectional encoding is examined for its effectiveness in context understanding, and XLNet permutation-based training is analyzed for its robust contextual comprehension. The experimental results reveal that GPT excels in generative tasks but is constrained by its unidirectional nature. BERT achieves superior accuracy in comprehension tasks but is computationally demanding and susceptible to pre-training bias. XLNet outperforms both GPT and BERT in accuracy and contextual understanding, though at the cost of increased complexity. The results offer a significant understanding of the effectiveness and applicability of these models, suggesting future research directions such as hybrid models and improvements in efficiency.
The Physical Basis of Nuclear Weapon Design
Authors: Zhan Aiming
Published: January 2025

This document delves into the theoretical foundation and design principles of nuclear weapons, commencing with an exploration of the characteristics of fissile materials. Due to the high level of confidentiality of nuclear weapons, their specific details cannot be known by the vast majority of people, but this article focuses solely on their theoretical analysis. It elucidates the fundamental mechanisms of nuclear reactions, introducing the concept of nuclear criticality—the point at which a chain reaction can be sustained. Through intricate mathematical modeling, it describes the diffusion patterns of neutrons within nuclear fuel and surrounding reflector layers. Furthermore, the article presents a comprehensive design approach required to attain a supercritical state, inclusive of a driving apparatus and remote control systems. A pivotal component discussed is the neutron tube, which serves as the primary source of initiation neutrons. In essence, this paper offers profound insight into the sophisticated mechanics and operational principles underlying nuclear armament design.