bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Nilai Karakter Toleransi Siswa Di Kelas IV SD Negeri 17 Palembang
Authors: Ramadandy Dersa , Imansyah Farizal , Lara Syaflin Sylvia
Published: November 2024

. Penelitian ini bertujuan untuk mengetahui nilai karakter toleransi siswa di kelas IV SD Negeri 17 Palembang. Penelitian ini menggunakan metode Deskriptif Kualitatif dengan Pendekatan Studi Kasus. Peneliti menggunakan sampel penelitian yaitu kepala sekolah, guru, siswa kelas IVA berjumlah 25 siswa. Dalam penelitian ini, peneliti menggunakan teknik penggumpulan data berupa Observasi, Wawancara, Angket dan Dokumentasi untuk menggumpulkan data penelitian. Instrument penelitian yang digunakan oleh peneliti adalah Lembar Observasi, Wawancara dan Angket. Berdasarkan hasil analisis yang telah dilakukan oleh peneliti bahwa nilai karakter toleransi siswa di kelas IV SD Negeri 17 Palembang dikategorikan sebagian besar siswa, hal ini dilihat dari pengumpulan data yang diperoleh rata-rata 74,4%, dan dapat diartikan bahwa sebagian besar siswa telah memiliki nilai karakter toleransi. Hal ini sudah cukup baik bagi siswa untuk belajar menerapkan nilai karakter toleransi yang ada pada diri siswa dikehidupan sehari–harinya.
Pengembangan Game Tebak Gambar Keberagaman Budaya Indonesia untuk Keterampilan Berbicara Siswa Kelas IV SD
Authors: Anjelina Meidia Delvianti  , Murjainah  , Mega Prasrihamni
Published: November 2024

Penelitian ini bertujuan untuk menguji kevalidan, kepraktisan, dan keefektifan game tebak gambar keberagaman budaya indonesia untuk keterampilan berbicara siswa kelas IV SD Negeri 17 Rambang. Jenis penelitian ini merupakan penelitian pengembangan atau dalam bahasa inggris dikenal dengan istilah Research and Develovment /R & D. Model pengembangan yang digunakan adalah kombinasi antara model sekuensial linier dan model evaluasi Tessmer. Hasil penelitian menunjukan bahwa, berdasarkan hasil uji kevalidan, persentase validasi materi sebesar 80%,  persentase validasi media  dan desain sebesar 80,6%,  serta persentase validasi RPP dan latihan soal sebesar 93,8 % serta persentase gabungan sebesar 84,8 %. Artinya berdasarkan kriteria validitas terlihat bahwa game tebak gambar Keberagaman Budaya Indonesia yang peneliti kembangkan adalah “Cukup Valid”. Sehingga dapat disimpulkan bahwa game Keberagaman Budaya Indonesia “Valid atau layak” digunakan untuk menilai keterampilan berbicara siswa.  Berdasarkan hasil uji kepraktisan, produk game tebak gambar yang peneliti kembangkan memperoleh hasil praktikalitas menurut respon siswa sebesar 3,5, menurut respon guru sebesar 3,7, serta praktikalitas gabungan sebesar 3,6. Berdasarkan kriteria praktikalitas, hasil  praktikalitas gabungan yang didapatkan tersebut terlihat bahwa  game tebak gambar Keberagaman Budaya Indonesia untuk keterampilan Berbicara menurut respon siswa kelas IV.B maupun respon guru kelasnya adalah “Praktis”, artinya dapat disimpulkan bahwa media pembelajaran game tebak gambar Keberagaman Budaya Indonesia ini “Praktis” untuk keterampilan bicara siswa. Berdasarkan hasil uji keefektifan, produk game tebak gambar yang peneliti kembangkan memperoleh hasil efektifitas gabungan sebesar 3,6. Berdasarkan kriteria efektifitas, hasil  efektifitas gabungan yang didapatkan tersebut terlihat bahwa  game tebak gambar Keberagaman Budaya Indonesia untuk keterampilan Berbicara adalah “Efektif”, artinya dapat disimpulkan bahwa media pembelajaran game tebak gambar Keberagaman Budaya Indonesia ini “Efektif” digunakan untuk menilai keterampilan bicara siswa.
Efektivitas Model Problem Based Learning Pada Hasil Belajar IPA Materi Sifat – Sifat Magnet Siswa Kelas VI SDN Pandeanlamper 01 Kota Semarang
Authors: Novayati Novayati , Agnita Siska Pramasdyahsari  , Aries Tika Damayani  , Kanti Kartika Sari
Published: November 2024

Penelitian ini bertujuan untuk mengetahui efektivitas model problem based learning pada hasil belajar IPA materi sifat-sifat magnet kelas VI yang berdasar pada kurangnya variasi penggunaan model pembelajaran oleh guru. Penelitian ini menggunakan metode kuantitatif jenis eksperimen dengan desain one group pretest-posttest. Subjek penelitian ini adalah 32 peserta didik kelas VI di SDN Pandeanlamper 01. Hasil penelitian menunjukkan bahwa model problem based learning efektif pada hasil belajar IPA kelas VI yang didukung dengan hasil uji paired sample t-test, perolehan n-gain score, serta hasil angket tanggapan peserta didik. Hasil uji paired sample t-test diperoleh nilai signifikansi (sig.) 0,000 atau nilai sig. < 0,05 (Ha diterima) yang berarti terdapat perbedaan rata – rata antara nilai pretest dan posttest. Selanjutnya diperoleh n-gain score sebesar 0,52 dengan kategori sedang. Selain itu, penggunaan model problem based learning pada pembelajaran IPA mendapatkan respon yang positif dari peserta didik kelas VI SDN Pandeanlamper 01 dengan perolehan rata-rata presentase sebesar 92% atau sangat baik.
Strategi Guru Dalam Mengajar Membaca Permulaan Berbantuan Media Gambar Bagi Siswa Kelas I Sekolah Dasar di Sirah Pulau Padang
Authors: Syarifuddin Ahmad , Cantika Wini , Faisal Faisal , Tastin Tastin
Published: November 2024

penelitian strategi guru dalam mengajar membaca permulaan bertujuan mengetahui strategi pembelajaran yang digunakan, hasil serta faktor pendukung dan penghambat dalam pelaksanaanya jenis penelitian yang digunakan dalam penelitian ini adalah jenis penelitian kualitatif dengan medote deskriptif, alat pengumpulan data menggunakan observasi, wawancara dan dokumentasi, analisis data menggunakan model miles dan herman yaitu pengumpulan data, reduksi data, penyanjiaan data dan menarik kesimpulan.Hasil penelitian menunjukan bahawa : (1) strategi pembelajaran eksopitori dengan metode pengenalan suku kata pada pembalajaran membaca permulaan berbantuan media gambar sudah bagus, guru melaksanakanya pembelajaran sesuai dengan Rencana Pelaksanaan Pemebalajaran yang dibuatnya (2) setelah penerapan strategi  pembelajaran membaca permulaan, hasil membaca siswa kelas  1 sudah bagus 80% siswa yang lancar  membaca dan 20% siswa yang dalam tahap pengejaan dalam (3) adapun yang menjadi factor pendukung dan penghambatnya baik Spserti media gambar,semangat belajar anak, guru yang kreatif ini menjadi fkator pendukung dan yang menjadi.factor penghambat dalam penerapan strategi pembelajaran membaca permulaan ini yaitu alokasi waktu dan siswa yang pasif atau kurang aktif.
Pengembangan Media Pembelajaran Pop Up Book Materi Adaptasi Hewan di Sekolah Dasar
Authors: Nia Nuraini  , Wahyuning Subayani Nataria , Marzuki Ismail
Published: November 2024

Media pembelajaran adalah alat pendukung untuk mencapai tujuan pembelajaran dengan baik. Penelitian ini bertujuan untuk mengembangkan media Pop Up Book Adaptasi Hewan dan mengetahui validitas serta kepraktisan yang diperoleh dari respon peserta didik terhadap Pop Up Book Adaptasi Hewan.
Penelitian ini merupakan penelitian pengembangan yang menggunakan model pengembangan ADDIE, yang terdiri dari analisis, perancangan, pengembangan, implementasi, dan evaluasi. Subjek dari penelitian ini adalah validator ahli media, ahli materi dan peserta didik kelas VI UPT SD Negeri 39 Gresik yang berjumlah 20 peserta didik. Instrumen pengumpulan data yang digunakan adalah lembar validasi dan angket respon peserta didik.
Berdasarkan hasil analisis yang telah dilakukan dapat diperoleh yaitu, 1) Pop Up Book Adaptasi Hewan dengan skor rata-rata 91% dari validasi ahli media dan 94% dari ahli materi. Pop Up Book Adaptasi Hewan dikategorikan sangat valid karena validator menyatakan Pop Up Book Adaptasi Hewan tersebut layak diujicobakan, 2) Pop Up Book Adaptasi Hewan dengan hasil 96% dari angket respon siswa, sangat valid. Sehingga Pop Up Book Adaptasi Hewan praktis untuk digunakan sebagai alat maupun sumber belajar bagi peserta didik dalam kegiatan pembelajaran.
Penerapan Media Takalintar (Tabel Perkalian Pintar) Untuk Meningkatkan Keterampilan Berhitung Matematika Siswa Di Sekolah Dasar
Authors: Ritawati  , Iis Nurasiah  , Irna Khaleda
Published: November 2024

Penelitian ini bertujuan mendeskripsikan penerapan media takalintar (table perkalian pintar) untuk meningkatkan keterampilan berhitung matematika siswa di sekolah dasar.. Metode penelitian yang digunakan adalah Penelitian Tindakan Kelas (PTK) dengan desain penelitian menggunakan model Kemmis dan Mc Taggart yang dilakukan sebanyak dua siklus. Setiap siklus terdiri dari perencanaan, pelaksanaan, tindakan dan pengamatan, serta refleksi. Partisipan penelitian ini adalah siswa kelas III yang berjumlah 34 peserta didik yang terdiri dari 17 orang siswa laki-laki dan 17 orang siswi perempuan. kurikulum yang diterapkan di sekolah ini menggunakan kurikulum 2013.Teknik pengumpulan data penelitian ini menggunakan tes berupa pretest dan postest. Sedangkan teknik non tes berupa observasi, catatan lapangan dan dokumentasi.Teknik analisis data yang digunakan adalah kuantitatif deskriptif. pembelajaran menggunakan media Takalintar dapat meningkatkan keterampilan berhitung siswa, hal tersebut bias dilihat dari perbandingan setiap siklus yang terus meningkat diawali dari pra siklus ketuntasan belajar hanya 15% atau 5 orang peserta didik, kemudian dilakukanlah pembelajaran dengan media takalintar kemudian meningkat menjadi 47% atau 16 peserta didik yang tuntas, karena masih belum memenuhui indicator keberhasilan secara kaliskal yang sebanyak 70%, maka penelitian dilanjutkan ke tahap siklus II dengan beberapa perbaikan dari siklus I sehingga mendapatkan hasil ketuntasan belajar meningkat sebanyak 85% atau 29 siswa yang tuntas.
Upaya Peningkatan Pemahaman Konsep Matematika Materi Volume Bangun Ruang Melalui Model Pembelajaran Market Place Activity Kelas VI di Sekolah Dasar
Authors: Asty Nesya Rahmi  , Astri Sutisnawati  , Luthfi Hamdani Maula
Published: November 2024

Pelajaran matematika merupakan salah satu pelajaran yang sudah ada dalam semua tingkatan pendidikan, dimulai dari tingkat sekolah dasar hingga perguruan tinggi. Dalam mempelajari pelajaran matematika, pemahaman konsep matematika sangat penting untuk siswa. Terdapat suatu permasalahan dalam pembelajaran matematika, yaitu masih rendahnya pemahaman konsep matematika yang menyebabkan siswa mengalami kesulitan dalam memecahkan masalah yang diberikan oleh guru. Hal ini dapat dilihat dari nilai hasil ujian penilaian tengah semester (PTS) dan nilai harian matematika yang belum mencapai kriteria ketuntasan. Tujuan dari Penelitian tindakan kelas ini adalah untuk meningkatkan pemahaman konsep matematika siswa pada materi volume bangun ruang di kelas VI SD Negeri 2 Cikidang. Penelitian ini menggunakan metode Penelitian Tindakan Kelas (PTK) dengan model Pembelajaran Market Place Acivity. Subyek penelitian ini adalah siswa kelas VI SD Negeri 2 Cikidang tahun ajaran 2022-2023, yang berjumlah 42 siswa yang terdiri dari 16 siswa laki-laki dan 26 siswa perempuan. Teknik pengumpulan data yang dilakukan menggunakan tes, observasi dan dokumentasi. Hasil penelitian didapatkan bahwa model pembelajaran Market Place Activity berhasil meningkatkan tingkat pemahaman konsep matematika siswa pada materi volume bangun ruang. Hasil belajar saat PTS nilai rata-rata yang diperoleh adalah 69 dengan persentase pencapaian KKM adalah 57,14% dan yang belum mencapai KKM 42,86%, setelah diadakan tindakan pada siklus I hasil tes mencapai nilai rata-rata mencapai 73 dengan persentase pencapaian KKM adalah 71,433% dan yang belum mencapai KKM 28,57% sedangkan pada siklus II nilai rata-rata mencapai 80 dengan persentase pencapaian KKM adalah 80,95% dan yang belum mencapai KKM 19,05%. Semangat dan motivasi siswa dalam kegiatan pembelajaran lebih meningkat. Hal ini dikarenakan siswa secara aktif dan bekerja sama dalam pembelajaran.
Powers and Politics Konsep Powers dan Politics di Madrasah Ibtidaiyah Pembangunan Jakarta dan Implikasinya Terhadap Kemajuan Sekolah
Authors: Indriani Indri , Andara Liluyani  , Cinta Kirani  , Hasyim Asy’ari
Published: November 2024

Penelitian ini bertujuan untuk memberikan gambaran tentang politik dan kekuasaan yang diterapkan dalam Madrasah Ibidaiyah, yang mana siswa dapat berperan serta dalam kepolitikan yang dilaksanakan di sekolah. Kebijakan politik dalam pendidikan menjadi suatu kewajiban untuk belajar yang dapat dikembangkan untuk kemajuan warga sekolah, yang mana secara langsung atau tidak langsung politik di pengaruhi oleh pendidikan, sehingga pendidikan dapat membentuk individu untuk berpartisipasi.  Politik dan kekuasaan menjadi urgensi dalam dunia pendidikan untuk memberikan jiwa yang demokratis dalam pendidikan. Dalam pendidikan, siswa pasti nya diberikan kesempatan untuk menjadi pemimpin terutama pemimpin untuk dirinya sendiri sehingga mereka bias memiliki kekuasaan. Contoh berpolitik dalam lembaga pendidikan yaitu seperti pemilihan ketua OSIS atau pemilihan ketua kelas, yang mana siswa dapat memilih kandidat sesuai  keinginan mereka tanpa ada paksaan dari pihak lain. Kepala sekolah tentu nya yang memiliki kekuatan tertinggi dalam lembaga pendidikan untuk memutuskan berbagai kebijakan atau pedoman sebagai keputusan politik.
Pengaruh Penerapan Model PBL Berbantuan Media Animasi 3D Terhadap Hasil Belajar Pendidikan Pancasila Kelas V
Authors: Lokasari Dewi , Abu Fitroh Firmansyah  , Wulan Aulia Azizah  , Susilo Tri Widodo  , Ery Isdhianti
Published: November 2024

Penelitian ini bertujuan untuk menjelaskan pengaruh penerapan model PBL berbantuan media animasi 3D terhadap hasil belajar siswa pada materi Pancasila. Subjek penelitian ini adalah siswa kelas V SD Negeri Tambangan 02 yang berjumlah 28 anak. Metode yang digunakan adalah kuantitatif dengan desain pre-experimental design yang berbentuk One Group Pretest - Posttest Design . Data dikumpulkan melalui wawancara, observasi, dan tes. Data yang diperoleh kemudian dianalisis menggunakan statistik deskriptif dan statistik inferensial. Hasil analisis menggunakan SPSS 26 menunjukkan bahwa terdapat pengaruh penerapan model PBL berbantuan media animasi 3D terhadap hasil belajar Pendidikan Pancasila. Hasil T-Test menunjukkan nilai signifikansi sebesar 0,000, dimana nilai tersebut < 0,05 yang artinya Ho ditolak dan Ha diterima. Sehingga dapat disimpulkan bahwa terdapat pengaruh penerapan model PBL berbantuan media animasi 3D terhadap hasil belajar siswa pada materi Pancasila.
Penggunaan Strategi Inkuiri Dalam Meningkatkan Hasil Belajar Siswa Pada Pembelajaran PKN di SDN 20 Batu Bulek
Authors: Marwan Syaiful , Raisyah Amini
Published: November 2024

Penelitian ini dipaparkan oleh peneliti yang menjadi pokok permasalahannya adalah siswa kurang berpartisipasi dalam proses pembelajaran dan hasil belajar siswa yang rendah. Adapun tujuan penulisan penelitian yang dilakukan peneliti yaitu untuk mengetahui  peningkatan hasil belajar siswa setelah proses pembelajaran menggunakan strategi inkuiri dan untuk mengetahui peningkatan partisipasi siswa setelah proses pembelajaran menggunakan strategi inkuiri. Penelitian ini menggunakan jenis Penelitian Tindakan Kelas (PTK). Adapaun subjek dalam penelitian ini yaitu siswa kelas II  Sekolah Dasar di Batu Bulek, Kabupaten Tanah Datar. Adapun teknik analisis data pada penelitian ini yaitu stratistik deskriptif (descriptive statistics). Pada penelitian  ini peneliti mengambil dua teknik analisis data yaitu mean dan persentase.
Persentase yang di dapatkan pada siklus I adalah 26% dengan kriteria persentase  penlaian kurang dan maka hasilnya  masih sebagian kecil siswa kelas II yang mampu meningkatkan hasil belajar melalui strategi inkuiri ini di SDN 20 Batu Bulek.  Persentase yang didapatkan pada siklus II adalah 65% dan jika disesuaikan dengan penialian  persentase Baik  maka hasilnya  masih sebagian besar siswa kelas II yang mampu meningkatkan hasil belajar melalui strategi inkuiri ini di SDN 20 Batu Bulek. Persentase yang di dapatkan pada siklus III adalah 100% dan jika disesuaikan dengan  persentase naik sekali maka hasilnya  hampir seluruhnya siswa kelas II sudah mampu meningkatkan hasil belajarnya. Berdasarkan penerapan strategi inkuiri dapat meningkatkan hasil belajar siswa pada pembelajaran PKN di kelas 2 UPT SDN 20 Batu Bulek, dan melalui penerapan strategi inkuiri dapat meningkatkan partisipasi siswa pada pembelajaran PKN di kelas 2  SDN 20 Batu Bulek
PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR LUNG CANCER PREDICTION: A COMPARATIVE STUDY
Authors:   Master’s In Information Technology Management, Webster University, USA, Hossain Nur , Anjum Nafis ,   College Of Technology And Engineering, Westcliff University, Irvine, CA, Alam Murshida ,   Department Of Business Administration, Westcliff University, Irvine, California, USA, Rahman Md Habibur ,   Department Of Business Administration, International American University, Los Angeles, California, USA, Taluckder Md Siam ,   Phillip M. Drayer Department Of Electrical Engineering Lamar University, USA, Al Bony Md Nad Vi ,   Department Of Business Administration, International American University, Los Angeles, CA, Rishad S M Shadul Islam ,   Master Of Science In Information Technology, Westcliff University, USA, Jui Afrin Hoque ,   Department Of Management Science And Quantitative Methods, Gannon University, USA
Published: November 2024

This study compares the performance of five machine learning algorithms—logistic regression, support vector machines, random forests, gradient boosting, and neural networks—for lung cancer prediction using demographic, lifestyle, and medical data from the UCI Machine Learning Repository. Gradient boosting and random forests achieved the highest accuracy (89% and 87%, respectively) and AUC-ROC scores (0.93 and 0.92), while neural networks reached 90% accuracy but presented interpretability limitations. Key predictors included smoking history, chronic disease, and respiratory symptoms, aligning with established risk factors. Ensemble methods, particularly gradient boosting and random forests, provided an optimal balance of accuracy and interpretability, highlighting their potential for clinical applications in early lung cancer detection.
The effects of acute exercise intensity on memory: Controlling for state-dependence
Authors: Loprinzi Paul , Fuglaar Lauren , Mangold Rylie , Petty Sierra , Jung Myungjin , Day L. B. , Patrick Zakary , Erickson Kirk I. , Kelemen William L.
Published: November 2024

The present experiment evaluated the effects of varying intensities of acute exercise on free-recall memory performance while controlling for potential state-dependent effects. Forty-eight young adults completed a within-subject experiment involving seven primary laboratory visits. The encoding and retrieval phases were matched or mismatched by taking place either during rest or during a less than 5-min bout of acute exercise, and at moderate or vigorous intensity. We did not find evidence that the effects of acute exercise on memory were state-dependent but instead demonstrated that memory recall was greater when memory retrieval occurred during vigorous-intensity exercise compared to rest. These findings have important implications for the strategic placement of exercise during the phases of memory (e.g., acquisition, storage, retrieval) to optimize memory performance and suggest boundary conditions of state-dependent learning. We discuss various theoretical accounts (e.g., shift in metabolic resources across brain regions) to explain these findings.
The Effect of Liquidity Ratio, Capital Structure and Activity on Company Profitability
Authors: Syahputra Satria Arga Dita , Imronudin
Published: November 2024

The study aims to measure the impact of liquidity ratio, capital structure and activity on profitability in financial sector companies. This study uses an associative quantitative approach with secondary data sourced from the annual reports of companies listed on the Indonesia Stock Exchange (IDX) for the 2023 period. Sampling was carried out using the purposive sampling method with certain criteria, namely the company must consistently publish financial reports during 2023, use the rupiah currency, and include values ​​for the liquidity ratio, capital structure, asset activity ratio, and profitability. Based on these criteria, 97 companies met the requirements. Multiple regression analysis is a method for measuring research hypotheses through the use of SPSS v.29 statistical software. The results of this study indicate that the company's liquidity ratio, capital structure and asset activity ratio can have an effect on the profitability of the finance sector in 2023.
Digital Marketing Development Strategy to Increase the Number of Tourists
Authors: Gumilang Adi Surya Panji , Gandhy Abel , Prasetyo Bayu Dwi
Published: November 2024

The increase in number of tourists is inseparable from the strategies used by tourist attractions by utilizing social media and Generation Z as a potential segmentation because they are known as digital natives. As happened to Bigstone Riverside located in Bogor, West Java, which once utilized social media by collaborating with influencers and getting an increase in visitors. Unfortunately, because the strategy used was inconsistent, there was a decline in visitors. This research aims to formulate a digital marketing development strategy for Bigstone Riverside. The selection of this research location was carried out purposively because this tourist destination has the potential to be developed and become a source of income for the surrounding community. This research uses qualitative data sourced from primary data and secondary data. The strategy formulation method used SWOT matrix by analyzing internal and external factors. The results of the strategy in this study are alternative strategies such as creating content that highlights advantages, creating promotions so that tourists share their excitement, conducting digital marketing training for administrators, collaborating with influencers and tourist information accounts, utilizing content generated by UGC users, optimizing SEO, and forming a team.
Квантовая теория долговечности огнеупоров
Authors: Захаров Александр Васильевич , Шаяхметов Ульфат Шайхизаманович , Батршина Гузель Сайфулловна
Published: November 2024

В работе представлена методика теоретической оценки остаточного срока службы материалов, эксплуатации наиболее опасных элементов нагруженных конструкций, трубопроводов, обшивок и теплообменников котлов, футеровки печей и металлургического оборудования, огнеупорной защиты, используемых при высоких температурах (приближающихся к 2000 °C), основанная на квантовой теории микроструктуры этих материалов и прогнозах остаточного срока службы (долговечности) огнеупоров из Al2O3, MgO и ZrO2.
Two new water mites representing families previously unreported from Madagascar (Acari, Hydrachnidia: Momoniidae and Neoacaridae)
Authors: Gerecke Reinhard
Published: November 2024

From interstitial habitats in Madagascar, the water mites Momoniella manubriata n. sp. and Neopetracarus cornutomasculum n. gen., n. sp. are described and discussed. Both are highly distinct in comparison with their nearest relatives. They represent the first records of the families Momoniidae and Neoacaridae from the island. The new taxa are positioned within a key to the water mite families of Madagascar (Gerecke 2020).
Desigualdad espacial y pobreza en Uruguay: una aproximación subnacional y multiescalar en base al análisis exploratorio de datos espaciales
Authors: Borrás Ramos Víctor
Published: November 2024

El artículo analiza la desigualdad espacial en los niveles de pobreza en Uruguay a nivel subnacional, desde una perspectiva multiescalar, cotejando tres unidades espaciales; departamentos, secciones censales y segmentos censales. Partiendo de los datos del último Censo de Población del año 2011, se propone una medida de pobreza basada en la metodología de Alkire y Foster y se indaga en su distribución espacial utilizando procedimiento de Análisis Exploratorio de Datos Espaciales. Los hallazgos muestran que la pobreza se caracteriza por una distribución espacialmente desigual, que tiene entre sus rasgos distintivos la conformación de conglomerados internamente homogéneos de alta y baja pobreza, donde los peores resultados tienden a concentrarse en los departamentos del norte. Por su parte, el análisis con mayores niveles de desagregación evidencia situaciones atípicas de alta pobreza en medio de contextos prósperos, y viceversa, dando cuenta del carácter fragmentado de la desigualdad espacial.
Exergy Efficiency and Energy Efficiency of Double Air Pass Solar Tunnel Air Dryer: A CFD Analysis
Authors: Gari Dagim Kebede , Ancha Venkata Ramayya , Sundar Lingala Syam , Deepanraj B. , Mouli Kotturu V.V. Chandra
Published: November 2024

This work presents, the computational fluid dynamics simulation of a forced convection double air pass solar tunnel drying system to study the temperature distribution, the flow behaviour of the air stream, and the exergy performance. Realizable k-epsilon non-equilibrium wall function turbulence model, discrete ordinate radiation model, and species transport were used. The average temperature, thermal efficiency, and exergy efficiency were found to 59.2 oC, 30%, and 9.41%, respectively. The result revealed that the uniform temperature and velocity distribution throughout the heating and drying chamber. Therefore, the newly developed double air pass solar tunnel dryer enhances the air temperature and the exergy performance leads to the increment of drying rate and reduction of drying period.
Analysis of Improving Organizational Culture Through Employee Engagement, Talent Management, Training and Development Human Resources
Authors: Febrian Wenny Desty , Solihin Agung
Published: November 2024

The article analysis of improving organizational culture through employee engagement, talent management, training and human resource development is a scientific literature review article within the scope of human resource management science. The purpose of this writing is to build a hypothesis of influence between variables which can later be used for further research within the scope of human resource management science. The research method used is descriptive qualitative. Data was obtained from previous studies relevant to this research and sourced from academic online media such as publish or perish, google scholar, garba digital reference and jurnal sinta. The tool used to cite reference sources is Mendeley References. The result of this article is: 1) Employee engagement influence improving organizational culture; 2) Talent management influence improving organizational culture; and 3) Training and development of human resources influence improving organizational culture.
Molecular Docking Studies of Bioactive Compounds from Psoralea corylifolia Revealing Antibacterial Potential against Methicillin-Resistant Staphylococcus aureus (MRSA)
Authors: Manju Subramaniam
Published: November 2024

Aim: This study investigates the antimicrobial potential of phytochemicals from Psoralea corylifolia against methicillin-resistant Staphylococcus aureus (MRSA) and elucidates the underlying mechanisms through molecular docking studies.  Methods: Mature seeds of Psoralea corylifolia were extracted using ethanol and chloroform via Soxhlet extraction. Qualitative analysis was performed to identify phytochemicals. Antibacterial activity was assessed using the agar well diffusion method against MRSA isolates, comparing results to gentamycin. GC-MS analysis characterized secondary metabolites, while molecular docking simulations with AutoDock Vina examined the binding affinity of (+)-Bakuchiol to the S. aureus receptor 1TSJ.  Results: Ethanol extraction proved superior, yielding a diverse range of phytochemicals, including flavonoids and alkaloids, while chloroform extraction was less effective. The ethanol extract exhibited significant antibacterial activity, with maximum zones of inhibition observed against S.aureus isolates. GC-MS identified key compounds, including (+)-Bakuchiol, which demonstrated a binding affinity of -5.8 kcal/mol in molecular docking studies. Interaction analysis highlighted critical amino acid residues involved in binding.  Conclusion: The findings confirm the efficacy of ethanol- extracted phytochemicals from Psoralea corylifolia, particularly (+)-Bakuchiol, as potential antibacterial agents against MRSA. These results support the need for further research into plant-derived compounds to combat antibiotic-resistant bacterial infections and offer insights into their mechanisms of action through molecular docking studies.
Enhancing Cybersecurity in Uzbekistan: Leveraging Artificial Intelligence Solutions
Authors: Bilol Abdullayev
Published: November 2024

This research paper discusses the current security situation in Uzbekistan and emphasizes the abovementioned problems connected with increasingly operating network attacks. Using the example of Estonia, it analyzes in general terms how AI algorithms, in particular artificial neural networks, may both worsen and improve state cybersecurity. The study is intended to serve two main purposes: assessing the current state of cybersecurity in Uzbekistan for common threats and vulnerabilities, as well as testing AI techniques to protect against these threats. AI 'is the only solution which can fight different cybersecurity threats effectively', the research notes, highlighting that AI is essential to increase Uzbekistan's capability to absorb cyberattacks and protect critical infrastructures and ensure quality of digital resources.
Logistics Management and Service Delivery in Humanitarian Organisations in Kenya: A Case Study of Kenya Red Cross Society
Authors: Wanjiru Bilha Kyalo Muriithi , Awuor Emmanuel
Published: November 2024

The goal was to assess the effects of supplier management and information management on the KRCS’s service delivery. Goal-Setting Theory is the main theory, supported by resource-based view and institutional theory. The study targeted a population of 300 individuals using a descriptive research approach. A total of 171 individuals were chosen for the sample size using stratified random sampling. Data was acquired by means of surveys. Basic statistics were used to assess the quantitative data, and SPSS version 27 was used for data analysis. Tables were used to display the data. Inferential statistics were used to illustrate the link between the variables. Throughout the course of the study, the research investigation was guided by a few ethical criteria. The R2 values for the relationship between supplier management and service delivery were 0.642, indicating a positive association, and 0.499, suggesting that changes in supplier management may account for 49.9% of the variation in service delivery. fundamental correlation between service delivery and information management (R = 0.595), with an R2 value of 0.431, while the DV was service delivery. To ensure successful logistics management and service delivery, KRCS should improve supplier management and service delivery, which is necessary, and that they can balance organizational goals and priorities with the supplier's perspective on challenges. This will improve the efficiency and effectiveness of the processes that the KRCS and communities in need of support use. KRCS service delivery can be increased by using auto- technologies. Independent variable technologies are welcomed since they will make product marking more accurate and efficient, which will improve operations.
Optimising Business Operations: Integrating Internet of Things (IoT) with Management Information Systems (MIS)
Authors: Singh Ujjwal
Published: November 2024

The current landscape of business operations is largely dominated by the integration of the Internet of Things (IoT) with Management Information Systems (MIS), which results in higher efficiency and innovative solutions for common and complex organisational challenges [1] [2]. Owing to this, the following research paper aims to explore the multifaceted benefits and challenges associated with this integration. Alongside this, it seeks to provide insights for not just future research within the field, but also for practitioners and scholars alike. The study begins with a comprehensive introduction to the relevance of IoT and MIS, highlighting their evolution and the complexities that may arise in their integration. After this, it moves further, delving into the technological foundations of IoT, and examining its core components, architecture, and emerging trends. Discussing the theoretical frameworks that surround information systems, it then seeks to illustrate both historical and contemporary integration issues and conducts a deep-seated analysis of current research on IoT- MIS Integration, extrapolating on the advantages, risks, and tangible benefits. The qualitative research is backed up by real-world case studies of well-known companies such as GE and Walmart, which present a strong insight into successful IoT-MIS integration and the challenges encountered during implementation. These examples reveal key takeaways, best practices, and strategic recommendations for businesses looking to harness the full potential of this integration. Lastly, strategic recommendations are presented, including best practices for effective integration and mitigation strategies for associated risks. The paper eventually concludes by outlining future research directions, identifying emerging trends in IoT and MIS integration, and formulating relevant research questions. With the aforementioned, the paper aims to contribute to the overall comprehension of IoT-MIS integration and presents a balanced view of its potential usability in modern-day content. Furthermore, the findings thus attained offer a valuable guide tool for firms willing to navigate the complexities of digital transformation, allowing them to emphasize the quintessential importance of strategic planning, investment in technology, and a commitment to robust security measures. Thus, this study serves as a roadmap for organizations which aspire to thrive in an increasingly interconnected and data-centric business environment.
Analysis of Number of Blades Effect on Performance of Rotor 37
Authors: Balla Abdelwahid Mohammed , Mohammed Taha Hazim , Awad Almahiy Samer , Ibrahim Ali Ali , Abdalla Ahmed
Published: November 2024

Number of blades is one of the major parameters affecting the performance and stability of compressors. The number of blades usually determined using blade spacing (the distance between two blades). This study has been devoted to estimating the change of performance parameters of rotor 37 as a result of number of blades change. The results of this study obtained using the CFD code “NUMECA Fine/Turbo”. This CFD code is a steady, quasi-three-dimensional Reynolds Averaged Navier-Stokes (RANS) solver. Presented a comparison between three turbulence models (k-Epislon, Spalart- Allmaras and Blatwin-lomax) with experimental data. Spalart-Allmaras turbulence model is used mainly for calculations. The results are presented for three rotational speeds and three values of number of blades. Provided an analysis of number of blades effect on rotor pressure ratio, efficiency, loading coefficient and work. The obtained results verified using an existing experimental and published data.
Potential Chromospheric Evaporation in the M Dwarf’s Flare Triggered by Einstein Probe Mission
Authors: Wang J. , Mao X. , Gao C. , Liu H. Y. , Li H. L. , Pan H. W. , Wu C. , Liu Y. , Li G. W. , Xin L. P. , Jin S. , Xu D. W. , Liang E. W. , Yuan W. M. , Wei J. Y.
Published: November 2024

Although flares from late-type main-sequence stars have been frequently detected in the multiwavelength, the associated dynamical process has been rarely reported so far. Here, we report follow-up observations of an X-ray transient triggered by Wide-field X-ray Telescope onboard the Einstein Probe at UT08:45:08 in 2024, May 7. The photometry in multibands and time-resolved spectroscopy started at 3 hr and 7.5 hr after the trigger, which enables us to identify the transient as a flare of the M-dwarf 2MASS J12184187−0609123. The bolometric energy released in the flare is estimated to be ∼1036 erg from its X-ray light curve. The Hα emission-line profile obtained at about 7 hr after the trigger shows an evident blue asymmetry with a maximum velocity of 200–250 km s−1. The blue wing can be likely explained by the chromospheric temperature (cool) upflow associated with chromospheric evaporation, in which the mass of the evaporating plasma is estimated to be 1.2 × 1018 g. In addition, a prominence eruption with an estimated mass of 7 × 1015 g < M
p < 7 × 1018 g cannot be entirely excluded.
Spatially Resolved Comparison of SFRs from UV and Hα in GASP Gas-stripped Galaxies
Authors: Tomičić Neven , Werle Ariel , Vulcani Benedetta , Ignesti Alessandro , Moretti Alessia , Wolter Anna , George Koshy , Poggianti Bianca M. , Gullieuszik Marco
Published: November 2024

Star formation rates (SFRs) in galaxies offer a view of various physical processes across them, and are measured using various tracers, such as Hα and ultraviolet (UV). Different physical mechanisms can affect Hα and UV emission, resulting in a discrepancy in the corresponding SFR estimates (ΔSFR). We investigate the effects of ram pressure on the SFR measurements and ΔSFR across five galaxies from the GASP survey caught in the late stages of gas stripping due to ram pressure. We probe spatially resolved ΔSFR at pixel scales of 0.5 kpc, and compare disks to tails and regions dominated by the dense gas to diffuse ionized gas (DIG) regions. The regions dominated by dense gas show similar SFR values for UV and Hα tracers, while the regions dominated by the DIG show up to 0.5 dex higher SFR(UV). There is a large galaxy-by-galaxy variation in ΔSFR, with no difference between the disks and the tails. We discuss the potential causes of variations in ΔSFR between the dense gas and DIG areas. We conclude that the dominant cause of discrepancy are recent variations in star formation histories, where star formation recently dropped in the DIG-dominated regions leading to changes in ΔSFR. The areal coverage of the tracers shows areas with Hα and no UV emission; these areas have LINER-like emission (excess in [O i
λ6300]/Hα line ratio), indicating that they are ionized by processes other than star formation.
Disk Turbulence and Star Formation Regulation in High-z Main-sequence Analog Galaxies
Authors: Lenkić Laura , Fisher Deanne B. , Bolatto Alberto D. , Teuben Peter J. , Levy Rebecca C. , Sun Jiayi , Herrera-Camus Rodrigo , Glazebrook Karl , Obreschkow Danail , Abraham Roberto
Published: November 2024

The gas-phase velocity dispersions in disk galaxies, which trace turbulence in the interstellar medium, are observed to increase with lookback time. However, the mechanisms that set this rise in turbulence are observationally poorly constrained. To address this, we combine kiloparsec-scale Atacama Large Millimeter/submillimeter Array observations of CO(3−2) and CO(4−3) with Hubble Space Telescope observations of Hα to characterize the molecular gas and star formation properties of seven local analogs of main-sequence galaxies at z ∼ 1–2, drawn from the DYNAMO sample. Investigating the “molecular gas main sequence” on kiloparsec scales, we find that galaxies in our sample are more gas-rich than local star-forming galaxies at all disk positions. We measure beam-smearing-corrected molecular gas velocity dispersions and relate them to the molecular gas and star formation rate surface densities. Despite being relatively nearby (z ∼ 0.1), DYNAMO galaxies exhibit high velocity dispersions and gas and star formation rate surface densities throughout their disks, when compared to local star-forming samples. Comparing these measurements to predictions from star formation theory, we find very good agreements with the latest feedback-regulated star formation models. However, we find that theories that combine dissipation of gravitational energy from radial gas transport with feedback overestimate the observed molecular gas velocity dispersions.
Medium Bands, Mega Science: A JWST/NIRCam Medium-band Imaging Survey of A2744
Authors: Suess Katherine A. , Weaver John R. , Price Sedona H. , Pan Richard , Wang 王 Bingjie 冰洁 , Bezanson Rachel , Brammer Gabriel , Cutler Sam E. , Labbé Ivo , Leja Joel , Williams Christina C. , Whitaker Katherine E. , Atek Hakim , Dayal Pratika , de Graaff Anna , Feldmann Robert , Franx Marijn , Fudamoto Yoshinobu , Fujimoto Seiji , Furtak Lukas J. , Goulding Andy D. , Greene Jenny E. , Khullar Gourav , Kokorev Vasily , Kriek Mariska , Lorenz Brian , Marchesini Danilo , Maseda Michael V. , Matthee Jorryt , Miller Tim B. , Mitsuhashi Ikki , Mowla Lamiya A. , Muzzin Adam , Naidu Rohan P. , Nanayakkara Themiya , Nelson Erica J. , Oesch Pascal A. , Setton David J. , Shipley Heath , Smit Renske , Spilker Justin S. , van Dokkum Pieter , Zitrin Adi
Published: November 2024

In this paper, we describe the “Medium Bands, Mega Science” JWST Cycle 2 survey (JWST-GO-4111) and demonstrate the power of these data to reveal both the spatially integrated and spatially resolved properties of galaxies from the local Universe to the era of cosmic dawn. Executed in 2023 November, MegaScience obtained ∼30 arcmin2 of deep multiband NIRCam imaging centered on the z ∼ 0.3 A2744 cluster, including 11 medium-band filters and the two shortest-wavelength broadband filters, F070W and F090W. Together, MegaScience and the UNCOVER Cycle 1 treasury program provide a complete set of deep (∼28–30 magAB) images in all NIRCam medium- and broadband filters. This unique data set allows us to precisely constrain photometric redshifts, map stellar populations and dust attenuation for large samples of distant galaxies, and examine the connection between galaxy structures and formation histories. MegaScience also includes ∼17 arcmin2 of NIRISS parallel imaging in two broadband and four medium-band filters from 0.9 to 4.8 μm, expanding the footprint where robust spectral energy distribution (SED) fitting is possible. We provide example SEDs and multiband cutouts at a variety of redshifts, and use a catalog of JWST spectroscopic redshifts to show that MegaScience improves both the scatter and catastrophic outlier rate of photometric redshifts by factors of 2–3. Additionally, we demonstrate the spatially resolved science enabled by MegaScience by presenting maps of the [O iii] line emission and continuum emission in three spectroscopically confirmed z > 6 galaxies. We show that line emission in reionization-era galaxies can be clumpy, extended, and spatially offset from continuum emission, implying that galaxy assembly histories are complex even at these early epochs. We publicly release fully reduced mosaics and photometric catalogs for both the NIRCam primary and NIRISS parallel fields (jwst-uncover.github.io/megascience).
Accurate, Precise, and Physically Self-consistent Ages and Metallicities for 400,000 Solar Neighborhood Subgiant Branch Stars
Authors: Nataf David M. , Schlaufman Kevin C. , Reggiani Henrique , Hahn Isabel
Published: November 2024

Age is the most difficult fundamental stellar parameter to infer for isolated stars. While isochrone-based ages are in general imprecise for both main-sequence dwarfs and red giants, precise isochrone-based ages can be obtained for stars on the subgiant branch transitioning from core to shell hydrogen burning. We synthesize Gaia Data Release 3–based distance inferences, multiwavelength photometry from the ultraviolet to the mid-infrared, and three-dimensional extinction maps to construct a sample of 289,759 solar-metallicity stars amenable to accurate, precise, and physically self-consistent age inferences. Using subgiants in the solar-metallicity open clusters NGC 2682 (i.e., M67) and NGC 188, we show that our approach yields accurate and physically self-consistent ages and metallicities with median statistical precisions of 8% and 0.06 dex, respectively. The inclusion of systematic uncertainties resulting from nonsingle or variable stars results in age and metallicity precisions of 9% and 0.12 dex, respectively. We supplement this solar-metallicity sample with an additional 112,062 metal-poor subgiants, including over 3000 stars with [Fe/H] ≲ −1.50, 7% age precisions, and apparent Gaia G-band magnitudes G < 14. We further demonstrate that our inferred metallicities agree with those produced by multiplexed spectroscopic surveys. As an example of the scientific potential of this catalog, we show that the solar neighborhood star formation history has three components at ([Fe/H], τ/Gyr) ≈ (+0.0, 4), (+0.2, 7), and a roughly linear sequence in age–metallicity space beginning at ([Fe/H], τ/Gyr) ≈ (+0.2, 7) and extending to (−0.5, 13). Our analyses indicate that the solar neighborhood includes stars on disk-like orbits even at the oldest ages and lowest metallicities accessible by our samples.
NGC 7314: X-Ray Study of the Evolving Accretion Properties
Authors: Chatterjee Debjit , Jana Arghajit , Mangalam A. , Chang Hsiang-Kuang
Published: November 2024

We present a comprehensive analysis of the timing and spectral properties of NGC 7314, a Seyfert 1.9 galaxy, using X-ray observations from XMM-Newton, NuSTAR, and RXTE/proportional counter array (PCA). The timing analysis reveals significant variability across different energy bands, with fractional variability values consistent with previous studies. The highly variable soft photons and comparatively less variable high-energy photons imply different origins of these two types. The soft energy photons come from a hot corona near the center, while the high-energy photons are produced by inverse Compton scattering of these primary X-ray photons in a hot plasma away from the central region. The spectral analysis employs various models to characterize the emission components. The results indicate the presence of a soft energy bump, Fe Kα line emission, and a prominent reflection component. The long-term RXTE/PCA data analysis reveals temporal variations in the photon index (Γ) and power-law flux, suggesting evolving emission properties over time. The signature of both broad and narrow Fe Kα emission line features suggested the broad, variable one coming from the accretion disk (∼10−5 pc), while the nonevolving narrow line cannot be well constrained. The absorption feature could originate in a highly ionized region, possibly closer to the broad-line region. The evolution of the inner accretion properties indicates that NGC 7314 could be a potential changing-state active galactic nucleus.
A Simulation Study of Low-power Relativistic Jets: Flow Dynamics and Radio Morphology of FR-I Jets
Authors: Bhattacharjee Ayan , Seo Jeongbhin , Ryu Dongsu , Kang Hyesung
Published: November 2024

Radio galaxies are classified into two primary categories based on their morphology: center-brightened FR-I and edge-brightened FR-II. It is believed that the jet power and interactions with the ambient medium govern the deceleration and decollimation of the jet-spine flows, which, in turn, influence this dichotomy. Using high-resolution, three-dimensional relativistic hydrodynamic simulations, we follow the development of flow structures on sub-kiloparsec to kiloparsec scales in kinetically dominant low-power relativistic jets. We find that the bulk Lorentz factor of the jet spine and the advance speed of the jet head, which depend on the energy injection flux and the jet-to-background density contrast, primarily determine the dynamics and structures of the jet-induced flows. The entrainment of ambient gas and the background density and pressure gradient may also play significant roles. To emulate radio morphology, we produce the synthetic maps of the synchrotron surface brightness for the simulated jets, by employing simple models for magnetic field distribution and nonthermal electron population and considering relativistic beaming effects at different inclination angles. Both the flow structures and radio maps capture the longitudinal and transverse structures of the jet-spine and shear layer, consistent with observations. We also compare different background effects and argue that the loss of pressure confinement beyond the galactic core may be a key factor in the flaring and disruption of FR-I jets. Our results confirm that mildly relativistic jets could explain the one-sidedness or asymmetries with the boosted main jet and deboosted counterjet pairs.