bluuebunny/crossref_metadata_2025_split huggingface dataset:
OPTIMASI ANALISIS SENTIMEN APLIKASI GLINTS MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)
Authors: Rahmasari Fanny , Rahaningsih Nining , Dana Raditya Danar , Rohmat Cep Lukman 
Published: January 2025

Teknologi informasi telah mengubah cara orang mencari pekerjaan, dan aplikasi seperti Glints adalah salah satu contohnya. Namun, lebih banyak ulasan pengguna membuat analisis sentimen sulit. Pengelolaan fitur yang relevan dan pemilihan parameter yang ideal adalah masalah utama. Dengan menggunakan algoritma Support Vector Machine (SVM), penelitian ini mengoptimalkan analisis sentimen ulasan Glints. Sebanyak 2000 ulasan dari Playstore dikumpulkan melalui scraping, dengan 69,2% positif, 16,6% netral, dan 14,2% negatif. Dalam proses pra-pemrosesan, case folding dan transformasi fitur menggunakan TF-IDF dengan unigram dan bigram dilakukan. Model SVM memiliki tingkat akurasi tinggi sebesar 92 persen, presisi sebesar 87%, recall sebesar 86%, dan F1-Score sebesar 86%. Implementasi berbasis Streamlit memungkinkan analisis sentimen dalam waktu nyata. Hasil ini membantu pengembang Glints meningkatkan layanan yang diberikan oleh pengguna.Keyword : Analisis Sentimen, Support Vector Machine (SVM), Aplikasi Glints, Klassifikasi Sentimen.
CLUSTERING PENERIMA BANTUAN PANGAN BERBASIS ALGORITMA K-MEANS UNTUK MENINGKATKAN EFEKTIVITAS PROGRAM SOSIAL DI KOTA/KABUPATEN CIREBON
Authors: HIDAYATULLAH NAUFAL ARIF , Prihartono Willy , Rohman Fathur 
Published: January 2025

Distribusi bantuan sosial pangan sering menghadapi tantangan berupa ketidakmerataan akibat pengelompokan penerima yang belum optimal. Penelitian ini bertujuan untuk mengelompokkan penerima bantuan sosial di Kota dan Kabupaten Cirebon menggunakan Algoritma K-Means. Variabel utama yang dianalisis meliputi kelurahan, kecamatan, jarak ke lokasi distribusi, dan usia penerima. Algoritma K-Means dipilih karena kemampuannya memproses data besar secara efisien dan menghasilkan klaster yang terpisah dengan baik. Optimalisasi jumlah klaster dilakukan menggunakan Davies-Bouldin Index (DBI) pada rentang K=2 hingga K=6. Hasil menunjukkan nilai optimal K=3 dengan DBI sebesar 0,505, menghasilkan tiga klaster. Cluster 0 memiliki rata-rata jumlah kelurahan tertinggi (188,434) dan jarak distribusi terpendek (412,873 meter), cocok untuk wilayah padat penduduk. Cluster 1 memiliki jarak distribusi terjauh (2979,891 meter) dan usia penerima rata-rata 49,217 tahun, mencakup area dengan tantangan distribusi yang lebih kompleks. Cluster 2 memiliki jarak distribusi sedang (1422,595 meter) dan usia rata-rata 51,564 tahun, mencerminkan wilayah yang luas tetapi tetap mudah dijangkau. Penelitian ini menunjukkan bahwa Algoritma K-Means mampu meningkatkan efektivitas distribusi bantuan sosial dengan memastikan alokasi yang lebih tepat berdasarkan karakteristik demografis dan geografis penerima.
PENERAPAN ALGORITMA NAIVE BAYES UNTUK ANALISIS SENTIMEN PENGUNJUNG DI PANTAI KEJAWANAN
Authors: Apriliansyah Rizal Dwi Rizki , Astuti Rini , Prihartono Willy , Hamonangan Ryan 
Published: January 2025

Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengunjung terhadap objek wisata Pantai Kejawanan dengan menggunakan algoritma Naïve Bayes. Sentimen diklasifikasikan menjadi dua kategori, yaitu positif dan negatif. Ulasan daring merupakan sumber data penting untuk memahami persepsi pengunjung terhadap destinasi wisata. Algoritma Naïve Bayes dipilih karena keunggulannya dalam menganalisis teks. Dataset terdiri dari 998 ulasan yang dikumpulkan melalui scraping menggunakan SerApi, dengan periode data dari 2020 hingga 2024. Analisis dilakukan melalui tahapan Knowledge Discovery in Databases (KDD), mencakup pemilihan data, pre-processing (pembersihan data, case folding, tokenisasi, penghapusan stopword, dan stemming), serta transformasi menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF). Dataset dibagi menjadi 70% data pelatihan dan 30% data pengujian sebelum penerapan algoritma. Hasil menunjukkan bahwa model mampu mencapai akurasi 78%, presisi 92%, recall 80%, dan F1-score 86%, yang mencerminkan performa baik dalam klasifikasi sentimen. Evaluasi menggunakan confusion matrix menunjukkan model konsisten dalam membedakan sentimen positif dan negatif. Analisis ini menunjukkan bahwa mayoritas ulasan pengunjung Pantai Kejawanan bersentimen positif, menggambarkan pengalaman yang memuaskan. Keywords: naïve bayes; objek wisata, data mining; analisis sentimen; pengunjung.
SISTEM MONITORING KUALITAS AIR LIMBAH RUMAH TANGGA BERBASIS IOT
Authors: Hidayat Syarif - 
Published: January 2025

Air limbah rumah tangga merupakan salah satu sumber masalah atau polusi lingkungan yang paling signifikan. Air limbah yang tidak diolah dengan baik dapat menyebabkan kerusakan lingkungan, seperti pencemaran air tanah, sungai, dan laut. Selain itu, air limbah juga dapat menjadi sumber penyakit bagi manusia dan hewan. Proyek ini bertujuan untuk merancang dan mengimplementasikan sistem monitoring kualitas air limbah rumah tangga berbasis Internet of Things (IoT) menggunakan ESP32, sensor TDS, sensor temperatur, dan LCD OLED white 0,96 inch. Sistem ini dirancang untuk memantau parameter penting seperti Total Dissolved Solids (TDS) dan suhu air limbah secara real-time. Data yang diperoleh dari sensor akan dikirimkan ke platform BLYnk untuk menampilkan parameter dan ditampilkan secara lokal pada LCD OLED. Dengan adanya sistem ini, diharapkan kualitas air limbah yang dibuang ke lingkungan dapat terjaga sesuai dengan standar yang ditetapkan, sehingga dapat mengurangi dampak negatif terhadap lingkungan. Selain itu, sistem ini juga memudahkan pemantauan dan pengendalian kualitas air limbah secara efisien dan efektif.
АНАЛИТИЧЕСКИЙ ОБЗОР МИРОВОГО ПАРКА ЭЛЕКТРОЭРОЗИОННЫХ КОПИРОВАЛЬНО-ПРОШИВОЧНЫХ СТАНКОВ
Authors: ЗАЙЦЕВ А Н. 
Published: January 2025

В данной работе в ретроспективе рассмотрены основные конструкторские особенности и технические характеристики электроэрозионных копировально-прошивочных станков различных компоновочных решении, которые серийно производились отечественными и зарубежными станкостроительными фирмами в период 1943-2023 годов. Дана сравнительная характеристика технических показателей электрохимических станков и оценка перспективных направлении развития. Статья может быть полезна научным работникам и инженерно-техническим специалистам, работающим в области электрофизической и электрохимической обработки и занимающимся вопросами практического проектирования, освоения и развития данной технологии и оборудования.
In this paper, in retrospect, the main designfeatures and technical characteristics of Sinker EDM machines ofvarious layout solutions, which were mass-produced by domestic and foreign machine tool companies in the period 1943-2023, are considered. A comparative characteristic of the technical indicators of electrochemical machines and an assessment ofpromising areas of development are given. The article may be useful to researchers and engineering and technical specialists working in thefield of electrophysical and electrochemical processing and dealing with practical design, development and development of this technology and equipment.
The Role of Student Organizational Involvement in Shaping Digital Entrepreneurial Intentions
Authors: Salsabil Syifa Hanifa 
Published: January 2025

Purpose:Â The study investigates the role that involvement of students in university organizations plays concerning digital entrepreneurial intention among the university students during the digital economy era. The study seeks to understand organizational participation in shaping entrepreneurial skills and mindset among the students.Â Method:Â The study design is quantitative in nature. The research sampled 69 computer science students. Analysis uses the TPB, utilizing regression and structural equation modeling to quantify the relationship of student organizational involvement with factors like attitudes, subjective norms, perceived behavioral control, and self-efficacy, added factors namely innovativeness and digital entrepreneurial education.Â Findings:Â Results showed that while self-efficacy and student organizational involvement proved to be significant predictors of digital entrepreneurial intention, attitudes, innovativeness, and subjective norms were not. That could suggest a process of developing digital entrepreneurial intentions, which may place more importance on the confidence in one's abilities and active participation in organizations rather than general attitudes or social pressures from the outside.Â Â Originality:Â Unique in its focus on the nexus between student organizational involvement and digital entrepreneurship, this study offers new insights into how universities can foster digital entrepreneurial intentions by enhancing the students' self-efficacy and fostering active engagement in student organizations.
The technology acceptance model and adopter type analysis in the context of artificial intelligence
Authors: Ibrahim Fabio , Münscher Johann-Christoph , Daseking Monika , Telle Nils-Torge 
Published: January 2025

IntroductionArtificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding the factors influencing AI adoption is critical for both research and practice. This study focuses on two key objectives: (1) validating an extended version of the Technology Acceptance Model (TAM) in the context of AI by integrating the Big Five personality traits and AI mindset, and (2) conducting an exploratory k-prototype analysis to classify AI adopters based on demographics, AI-related attitudes, and usage patterns.MethodsA sample of N = 1,007 individuals individuals (60% female; M = 30.92; SD = 8.63 years) was collected. Psychometric data were obtained using validated scales for TAM constructs, Big Five personality traits, and AI mindset. Regression analysis was used to validate TAM, and a k-prototype clustering algorithm was applied to classify participants into adopter categories.ResultsThe psychometric analysis confirmed the validity of the extended TAM. Perceived usefulness was the strongest predictor of attitudes towards AI usage (β = 0.34, p &lt; 0.001), followed by AI mindset scale growth (β = 0.28, p &lt; 0.001). Additionally, openness was positively associated with perceived ease of use (β = 0.15, p &lt; 0.001). The k-prototype analysis revealed four distinct adopter clusters, consistent with the diffusion of innovations model: early adopters (n = 218), early majority (n = 331), late majority (n = 293), and laggards (n = 165).DiscussionThe findings highlight the importance of perceived usefulness and AI mindset in shaping attitudes toward AI adoption. The clustering results provide a nuanced understanding of AI adopter types, aligning with established innovation diffusion theories. Implications for AI deployment strategies, policy-making, and future research directions are discussed.
Innovative surgical and stress-stimulated rat model of ligamentum flavum hypertrophy
Authors: Chen Long , Zhang Zhaoyuan , Li Niandong , Zhang Wanxia , Zheng Zhouhang , Zhang Yu 
Published: January 2025

Background and purposeAnimal models of LFH are still in the exploratory stage. This study aimed to establish a reliable, efficient, and economical model of LFH in rats for the study of human ligamentum flavum (LF) pathological mechanisms, drug screening, development, improvement of surgical treatment, disease prevention, and other aspects.Methods and materialsForty rats were divided into an experimental group and a sham group of 20 rats. The experimental group (n = 20) was treated with an innovative operation combined with stress stimulation at the L5-L6 segments, the L5 and L6 spinous processes, transverse processes, and supraspinous ligaments were excised, along with removal of the paraspinal muscles at the L5-L6 level. One week after surgery, the rats were subjected to slow treadmill running daily. In the experimental group (n = 20), the spinous process, transverse process, supraspinous ligament and paraspinous muscle of L5 and L6 were excised. And for a week after the surgery, the rats ran on a treadmill at a slow pace every day. While the sham group (n = 20) was treated with sham operation only. Seven weeks later, MRI, immunohistochemistry (IHC), and western blot (WB) will be performed on the LF of the L5-6 segment in the two groups of rats.ResultsMRI results showed that the LF in the experimental group was significantly thicker than that in the sham group. Masson staining results indicated that LF thickness, collagen fiber area, and collagen volume fraction (CVF) were significantly higher in the experimental group than in the sham group. IHC and WB showed that the expression of TGF-β1, COL1, and IL-1β in the LF of the experimental group was significantly higher than that in the LF of sham group.ConclusionThrough innovative surgical intervention combined with stress stimulation, a relatively reliable, efficient, and convenient rat LFH model was established.
The Prevalence and Clinical Characteristics of MYO3A-Associated Hearing Loss in 15,684 Hearing Loss Patients
Authors: Maekawa Karuna , Nishio Shin-ya , Miyazaki Hiromitsu , Ohta Yoko , Oishi Naoki , Kasai Misato , Yamamoto Ai , Okami Mayuri , Wasano Koichiro , Sakai Akihiro , Usami Shin-ichi 
Published: January 2025

Background/Objectives: MYO3A belongs to the unconventional myosin superfamily, and the myosin IIIa protein localizes on the tip of the stereocilia of vestibular and cochlear hair cells. Deficiencies in MYO3A have been reported to cause the deformation of hair cells into abnormally long stereocilia with an increase in spacing. MYO3A is a rare causative gene of autosomal recessive sensorineural hearing loss (DFNB30), with only 13 cases reported to date. In this study, we aimed to elucidate the phenotypes caused by MYO3A variations. Methods: Massively parallel DNA sequencing was performed on 15,684 Japanese hearing loss patients (mean age 27.5 ± 23.1 years old, 6574 male, 8612 female and 498 patients for whom information was unavailable), identifying nine candidate patients with MYO3A variants. Results: We identified eight causative MYO3A variants by massively parallel DNA sequencing, including six novel variants, and reported nine individuals possessing MYO3A gene variants, which is the largest group of non-related patients yet to be detected. Our findings confirmed that MYO3A variants cause progressive hearing loss, with its onset varying from birth to the second decade, eventually leading to severe-to-profound hearing loss. Conclusions: We clarified that patients with MYO3A gene variants present with late-onset, progressive hearing loss. Our findings have enabled us to predict the outcomes of hearing loss in patients with candidate MYO3A gene variants and to provide intervention in a timely manner.
An Indication of Gas Inflow in Clumpy Star-forming Galaxies near z ∼ 1: Lower Gas-phase Metallicities in Clumpy Galaxies Compared to Nonclumpy Galaxies
Authors: Sok Visal , Muzzin Adam , Jablonka Pascale , Tan Vivian Yun Yan , Marsan Z. Cemile , Marchesini Danilo , Wilson Gillian , Alcorn Leo Y. 
Published: January 2025

Abstract
Despite the ubiquity of clumpy star-forming galaxies at high-redshift, the origin of clumps are still largely unconstrained due to the limited observations that can validate the mechanisms for clump formation. We postulate that if clumps form due to the accretion of metal-poor gas that leads to violent disk instability, clumpy galaxies should have lower gas-phase metallicities compared to nonclumpy galaxies. In this work, we obtain the near-infrared spectrum for 42 clumpy and nonclumpy star-forming galaxies of similar masses, star formation rates, and colors at z ≈ 0.7 using the Gemini Near-Infrared Spectrograph (GNIRS) and infer their gas-phase metallicity from the [N ii]λ6584 and Hα line ratio. We find that clumpy galaxies have lower metallicities compared to nonclumpy galaxies, with an offset in the weighted average metallicity of 0.07 ± 0.02 dex. We also find an offset of 0.06 ± 0.02 dex between clumpy and nonclumpy galaxies in a comparable sample of 23 star-forming galaxies at z ≈ 1.5 using existing data from the FMOS-COSMOS survey. Similarly, lower [N ii]λ6584/Hα ratios are typically found in galaxies that have more of their UVrest luminosity originating from clumps, suggesting that clumpier galaxies are more metal-poor. We also derive the intrinsic velocity dispersion and line-of-sight rotational velocity for galaxies from the GNIRS sample. The majority of galaxies have σ
0/v

c
≈ 0.2, with no significant difference between clumpy and nonclumpy galaxies. Our result indicates that clump formation may be related to the inflow of metal-poor gas; however, the process that forms them does not necessarily require significant, long-term kinematic instability in the disk.
Increased Surface Temperatures of Habitable White Dwarf Worlds Relative to Main-sequence Exoplanets
Authors: Shields Aomawa L. , Wolf Eric T. , Agol Eric , Tremblay Pier-Emmanuel 
Published: January 2025

Abstract
Discoveries of giant planet candidates orbiting white dwarf (WD) stars and the demonstrated capabilities of the James Webb Space Telescope bring the possibility of detecting rocky planets in the habitable zones (HZs) of WDs into pertinent focus. We present simulations of an aqua planet with an Earth-like atmospheric composition and incident stellar insolation orbiting in the HZ of two different types of stars—a 5000 K WD and main-sequence K-dwarf star Kepler-62 (K62) with a similar effective temperature—and identify the mechanisms responsible for the two differing planetary climates. The synchronously rotating WD planet's global mean surface temperature is 25 K higher than that of the synchronously rotating planet orbiting K62, due to its much faster (10 hr) rotation and orbital period. This ultrafast rotation generates strong zonal winds and meridional flux of zonal momentum, stretching out and homogenizing the scale of atmospheric circulation, and preventing an equivalent buildup of thick, liquid water clouds on the dayside of the planet compared to the synchronous planet orbiting K62, while also transporting heat equatorward from higher latitudes. White dwarfs may therefore present amenable environments for life on planets formed within or migrated to their HZs, generating warmer surface environments than those of planets with main-sequence hosts to compensate for an ever shrinking incident stellar flux.
L’ouverture contrastée d’un front écologique dans la Russie post-soviétique : la ceinture verte de Fennoscandie
Authors: Florin Ian 
Published: January 2025

Cet article montre comment des acteurs réunis sous la bannière de la ceinture verte de Fennoscandie – la Greenbelt of Fennoscandia (GBF) – ont combiné des discours à propos de l’environnement et des relations internationales pour influer sur la politique de conservation de la nature dans la Russie post-soviétique. Fondé sur une recherche documentaire et près de soixante-dix entretiens, il retrace comment le concept de GBF a motivé et justifié l’ouverture d’un front écologique le long des frontières entre la Russie, la Finlande et la Norvège au nom de la protection d’une nature qui serait restée intacte du fait des restrictions d’accès imposées durant la guerre froide. Adoptant une perspective de géopolitique critique, il se penche sur la façon dont la conservation de l’environnement est mise au service de la politique de voisinage européenne, qui vise à faire de la Russie un partenaire diplomatique privilégié en l’aidant à opérer une transition vers le modèle de la démocratie libérale.
<i>In vitro</i> antimicrobial activity of Mathesia® on bacterial isolates of wound infections in University Clinics and Hospital Centre of Mont Amba, Kinshasa, Democratic Republic of the Congo
Authors: Nkasa H.L. , Kabena O. , Ngbolua J.K. , Matafwari Z.L. , Ndamba P.M. , Lunguya O.M. , Ambimani C.I. , Mifundu M. , Mulenga M.C. , Malongwe K.J. , Kayembe S.J. , Taba K.M. 
Published: January 2025

Background: Mathesia is a hydro-alcoholic emulsion, colourless and somewhat viscous, based on extracts of medicinal plants and containing saponins, polyphenols, tannins, and reducing sugars. In this study, we proposed to carry out an in vitro study of the antibacterial activity of phytomedicine Mathesia on strains of bacteria isolated from diabetic foot ulcers and chronic wounds of patients in care in the University Clinics and the Hospital Centre of Mont Amba in Kinshasa, Democratic Republic of the Congo.
Methodology: This in vitro study was carried out in the bacteriology laboratory of the Higher Institute of Medical Technology of Kinshasa from February to June 2022. The Kirby-Bauer disc diffusion method on MuellerHinton agar was used for antibacterial assay of different concentrations of Mathesia on 7 different Grampositive and Gram-negative bacterial species isolated from chronic wounds. The minimum inhibitory concentration (MIC) of Mathesia for the isolates was determined by broth dilution method on Mueller Hinton broth media.
Results: The results from this study showed that Mathesia has an inhibitory effect upon the 7 bacterial species at MIC value of less than 100 μg/ml. The lowest MIC value of 1.95 μg/ml was obtained against Staphylococcus aureus, Staphylococcus epidermidis and Proteus species.
Conclusion: The results obtained in this study corroborate previous studies which demonstrated effectiveness of Mathesia on Escherichia coli, Streptococcus pyogenes and Aspergillus species. This activity could also be justified by the presence of phenolic acids, tannins and flavonoids which possess antibacterial properties.
A case report of macrophage activation syndrome of infectious origin in the clinical haematology department of the Ignace Deen University Hospital, Conakry, Guinea
Authors: Condé A. , Doukouré A. S. , Traoré M. , Diallo I. , Kanté A. S. , Diakité M. 
Published: January 2025

Background: Macrophage activation syndrome (MAS) is a rare but often fatal condition. It is linked to inappropriate stimulation of macrophages leading to abnormal phagocytosis of the formed elements of the blood and the release of pro-inflammatory cytokines. The aim of this study is to report a case of MAS of infective origin, and call the attention of medical practitioners to this potential life-threatening condition.Case presentation: This was a 45-year-old male patient, admitted on account of febrile pancytopenia (anaemia, leukopaenia and thrombocytopaenia) of chronic course. No particularly significant past medical history of the patient. Clinical and paraclinical examinations showed that the MAS was due to tuberculosis Conclusion: MAS is a life-threatening condition often associated with infections such as tuberculosis as described in this case.
Additional chapter for evaluation indeterminate limits of functions and series in teaching mathematics for engineering education
Authors: Dinçkal Çiğdem 
Published: January 2025

Infinity divided by infinity, zero divided by zero, one divided by zero are the most important indeterminate forms obtained when evaluating limits for single variable functions and series. Well-known method; L' Hôpital rule has been employed to simplify and resolve these indeterminate forms' limits such that 0/0, ∞/∞ , 1/0 in terms of quotients of their derivatives. In some cases, L' Hôpital rule is applied more than once to solve indeterminate limits. Besides, it is so complicated to take the derivative for some functions of a single variable and series, so L' Hôpital rule is ineffective and not practical to solve limits with indeterminate forms for those functions and series. L' Hôpital rule is also impractical for the indeterminate limits in the form: - ∞∙0By considering all these facts, new approaches including Central Finite Difference (CFD), Forward Finite Difference (FFD), Backward Finite Difference (BFD), High Accurate Central Finite Difference (HACFD), High Accurate Forward Finite Difference (HAFFD), High Accurate Backward Finite Difference (HABFD) methods are presented that provides efficient ways to solve these limits. Taking derivative is not required in all approaches. HACFD with step size: 0.0001 is the most preferred technique here to obtain exact results among all other techniques.