bluuebunny/crossref_metadata_2025_split huggingface dataset:
DEVELOPMENT OF A PUBLISHING ELIGIBILITY INFORMATION SYSTEM WEB-BASED GUARANTEE INSURANCE CERTIFICATE
Authors: Magdalena Hilyah , Santoso Hadi , Septryanti Ade , Destiyani Arvina 
Published: April 2024

Abstract: When working on a project that carries significant risk, the project owner asks the contractor for a letter of guarantee as a form of seriousness in carrying out the work for a certain time. One of the guarantor companies in the Bangka Belitung Islands Province is PT. Jamkrida Bangka which issues a surety bond certificate as an additional agreement to the main agreement between the project owner and the contractor. The system for submitting surety bond guarantee certificates at PT Jamkrida Bangka is still done manually starting from applying, completing the supporting document requirements, checking the suitability of the applicant's supporting documents, paying the guarantee fee, and printing the surety bond certificate as proof of guarantee. The system currently running will be developed into a web-based system to increase the speed of the administrative service process when applicants submit applications for surety bonds. The web-based system was developed using the Object-Oriented Analysis and Design method and Unified Modeling Language (UML) as a tool to develop in line with user needs. The system design can also provide easy access for applicants who are far from PT offices. Jamkrida in Pangkalpinang. Keywords: guarantee certificate; surety bonds; web-based systems; Abstrak: Pada pengerjaan proyek yang beresiko cukup besar, maka pihak pemilik proyek meminta surat jaminan kepada pihak kontraktor sebagai bentuk kesungguhan melaksanakan pekerjaannya selama waktu tertentu. Di Provinsi Kepulauan Bangka Belitung, salah satu Perusahaan penjamin adalah PT. Jamkrida Bangka yang mengeluarkan sertifikat surety bond sebagai perjanjian tambahan dari perjanjian pokok antara pemilik proyek dengan kontraktor. Sistem pengajuan sertifikat jaminan surety bond di PT Jamkrida Bangka masih dilakukan secara manual mulai dari mengajukan permohonan, melengkapi persyaratan dokumen pendukung, memeriksa kesesuaian dokumen pendukung pemohon, pembayaran biaya jaminan, dan pencetakan sertifikat surety bond sebagai bukti jaminan. Sistem yang saat ini berjalan akan dikembangkan menjadi sistem berbasis web untuk meningkatkan kecepatan proses layanan administrasi saat pemohon mengajukan permohonan jaminan surety bond. Sistem berbasis web dikembangkan dengan metode Object-Oriented Analysis and Design dan Unified Modelling Language (UML) sebagai alat bantu, agar sistem dapat berkembang selaras dengan kebutuhan pengguna. Sistem yang dirancang juga mampu memberikan kemudahan akses bagi pemohon yang secara geografis cukup jauh dari kantor PT. Jamkrida di Pangkalpinang. Kata kunci: sistem berbasis web; sertifikat penjaminan; surety bond
K-MEANS ALGORITHM TO DETERMINE MARKETING STRATEGY AT CODEVERSE COMPUTER ACCESSORIES STORE
Authors: Burhanuddin Balit Muhamad Naufal , Utomo Fandy Setyo 
Published: April 2024

Abstract: Artificial Intelligence (AI) is currently gaining popularity across various industries, including healthcare, finance, and others. In this study, AI technology is employed to devise an optimal marketing strategy for Code Verse Computer Accessories Store using the K-Means algorithm. As part of machine learning, the K-Means algorithm, categorized under unsupervised learning, is implemented to cluster sales data for computer accessory products over the last three months of 2023. The results of the K-Means analysis identify two main clusters. Cluster one (Cluster 1) comprises products such as Mouse, Keyboard, Monitor, Headset, and Speaker, indicating consistent purchasing patterns and high consumer interest. Recommendations are made to increase stock for Cluster 1. Meanwhile, Cluster two (Cluster 2) consists of Mic products with lower interest, and it is not advisable to increase stock. The implementation of K-Means provides insights into purchasing patterns, enabling Code Verse to develop more effective marketing and inventory management strategies. Keywords: K-Means algorithm; artificial intelligence; clustering Abstract: Kecerdasan Buatan (AI) kini meraih popularitas dalam berbagai industri, termasuk sektor kesehatan, keuangan, dan lainnya. Pada penelitian ini, teknologi AI digunakan untuk merancang strategi pemasaran optimal bagi Toko Aksesoris Komputer CodeVerse dengan menggunakan Algoritma K-Means. Sebagai bagian dari machine learning, Algoritma K-Means, yang termasuk dalam kategori unsupervised learning, diimplementasikan untuk mengelompokkan data penjualan produk selama tiga bulan terakhir tahun 2023. Hasil dari analisis K-Means mengidentifikasi dua cluster utama. Cluster pertama (Cluster 1) terdiri dari produk Mouse, Keyboard, Monitor, Headset, dan Speaker, menunjukkan pola pembelian yang konsisten dan tingginya minat konsumen. Rekomendasi untuk menambah stok diberikan. Sementara itu, Cluster kedua (Cluster 2) terdiri dari produk Mic dengan minat lebih rendah, dan tidak disarankan untuk menambah stok. Implementasi K-Means memberikan wawasan tentang pola pembelian, memungkinkan CodeVerse mengembangkan strategi pemasaran dan manajemen persediaan yang lebih efektif. Keywords: Algoritma k-means; kecerdasan buatan; clustering
USING OF SINGLE EXPONENTIAL SMOOTHING (SES) METHOD FOR SALES OF GAMIS AT RATNA JAYA SHOP
Authors: Azmira Tiara , Nasution Akmal , Sumantri Sumantri 
Published: April 2024

Abstract: Toko Ratna Jaya is a business in the fashion sector that sells women's robes and is experiencing instability in its sales because Toko Ratna Jaya is unable to predict their sales for the following month. Ratna Jaya Shop currently carries out forecasting only by relying on the owner's predictions. However, this approach is less efficient and can lead to losses or increased stock costs if forecasting is inaccurate. To increase the accuracy of the estimates, the use of the Single Exponential Smoothing Method is proposed. This method smooths past values with exponential weights, placing greater emphasis on recent data. Use of data from the last 1 (one) year as reference data for recording the past for forecasting experiments for the next 1 (one) month. Experiments using different Alphas test accuracy in actual situations. The results of the experiment with an alpha of 0.2 are almost the same as the actual value in predicting the situation one month into the future with the lowest error, namely MAPE 12.05% and forecasting sales of gamis of 1,476 pcs.Keywords: forecasting; gamis; sales; single exponential smoothing (SES); toko ratna jaya. Abstrak: Toko Ratna Jaya adalah usaha di bidang fashion yang menjual baju gamis wanita dan sedang mengalami ketidakstabilan dalam penjualannya dikarenakan Toko Ratna Jaya tidak mampu meramalkan penjualan mereka untuk bulan berikutnya. Toko Ratna Jaya saat ini melakukan peramalan hanya dengan mengandalkan paraduga pemiliknya. Namun, pendekatan ini kurang efisien dan dapat menyebabkan kerugian atau peningkatan biaya stok jika peramalan tidak akurat. Untuk meningkatkan ketepatan perkiraan, penggunaan Metode Single Exponential Smoothing diusulkan. Metode ini menghaluskan nilai masa lalu dengan bobot eksponensial, memberikan penekanan lebih besar pada data terbaru. Penggunaan data 1 (satu) tahun terakhir sebagai data acuan pencatatan masa lalu untuk percobaan peramalan untuk 1 (satu) bulan kedepan. Eksperimen menggunakan Alpha yang berbeda menguji akurasi dalam situasi aktual. Hasil dari eksperimen dengan alpha 0,2 hampir sama dengan nilai aktual dalam meramalkan keadaan satu bulan ke depan dengan error yang paling rendah yaitu MAPE 12,05% dan peramalan penjualan gamis sebanyak 1.476 pcs.Kata kunci: gamis; penjualan; peramalan; single exponential smoothing (ses); toko ratna jaya.
PERAN KONSELING KELUARGA DALAM MENGATASI KENAKALAN REMAJA
Authors: Fatmawati Santi , Lestari Winda Mei , Salsabila Salma Fadila 
Published: April 2024

Penelitiaan ini berjudul “Peran Konseling Keluarga dalam mengatasi kenakalan remaja” Masalah dalam penelitiaan ini adalah remaja yang melakukan kenakalan remaja. Tujuan dari penelitian ini dapat kita simpulkan bahwa peran konseling keluarga sangat dibutuhkan dalam mengatasi kasus kenakalan remaja. Penelitian ini menggunakan studi literartur yang mana peneliti hanya mencari sumber penelitian dari beberapa jurnal.
PENGARUH TEKNIK ROLE PLAYING DALAM MENINGKATKAN EMPATI SISWA DI SUMBAWA BARAT
Authors: Mustakim Mustakim , Jaswandi Lalu , Sari Yanti Komala 
Published: April 2024

Dalam kehidupan ini banyak peristiwa yang lepas dari pandangan kita yang sejatinya bisa memberikan banyak pelajaran bagi hidup kita. Peristiwa yang mengharukan maupun membahagiakan tetap memiliki arti. Kemampuan kita untuk memahami dan mengalami suatu perasaan positif dan negatif akan membantu kita memahami makna kehidupan yang sebenarnya. Kemampuan ini sering disebut sebagai atribut empati. Nilai empati yang rendah serta belum mampu mengelola emosi mereka, adapun kasus-kasus yang muncul seperti etika dalam berbahasa yang masih kurang sopan, sikap saling tidak menghargai, saling mengejek, suka membuat onar, dan akhirnya terjadi perkelahian. Tujuan penelitian ini adalah untuk mengetahui Pengaruh teknik role playing dalam meningkatkan empati siswa Sumbawa Barat. Populasi dalam penelitian ini adalah sebanyak 57 dan sampel sebanyak 10 siswa dengan metode pengumpulan data yang digunakan yaitu angket sebagai metode pokok, observasi dan dokumentasi dan wawancara sebagai metode pelengkap. Teknik analisis data yang digunakan yaitu dengan menggunakan rumus t test. Sesuai dengan analisis data yang digunakan yaitu metode statistik dengan menggunakan rumus t-tes. Berdasarkan nilai thitung sebesar dan nilai ttabel pada taraf signifikansi 5% pada db (N-1) = 10-1 = 9, lebih besar dari nilai ttable (>2.262) sehingga dapat dikatakan “signifikan” maka dapat disimpulkan bahwa ada pengaruh teknik role playing dalam meningkatkan empati siswa di Sumbawa Barat.
STUDI LITERATUR: IMPLEMENTASI PENDIDIKAN PROFIL PELAJAR PANCASILA PADA LEMBAGA PENDIDIKAN
Authors: Rohiyatun Baiq , Garnika Eneng 
Published: April 2024

Perkembangan teknologi yang semakin canggih, informasi dan komunikasi di era digital dapat memberi banyak manfaat namun juga dapat berdampak negatif dalam kehidupan masyarakat. Dampak negatif yang terjadi dan dirasakan masyarakat di era digital khususnya dalam dunia pendidikan antara lain kurang fokus saat belajar, terbatasnya interaksi sosial positif, penurunan keterampilan tulis tangan, konten tidak sesuai dan mengandung unsur kekerasan, selain itu juga anak menjadi kesulitan mengatur waktu. Untuk meminimalisir dampak negatif dapat dilakukan upaya-upaya kongkrit dari orang tua dan penyelenggara atau pelaku pendidikan. Upaya yang dapat dilakukan salah satunya melalui impementasi pendidikan secara tepat. Pendidikan dalam pembelajaran tentunya bertujuan untuk membentuk karakter baik bagi peserta didik, sehingga mereka diharapkan dapat menjadi generasi cerdas, berkarakter dan berahklak mulia.
Acyl pyrazole sulfonamides as new antidiabetic agents: synthesis, glucosidase inhibition studies, and molecular docking analysis
Authors: Ahmed Atteeque , Zaib Sumera , Bhat Mashooq Ahmad , Saeed Aamer , Altaf Muhammad Zain , Zahra Fatima Tuz , Shabir Ghulam , Rana Nehal , Khan Imtiaz 
Published: April 2024

Diabetes mellitus is a multi-systematic chronic metabolic disorder and life-threatening disease resulting from impaired glucose homeostasis. The inhibition of glucosidase, particularly α-glucosidase, could serve as an effective methodology in treating diabetes. Attributed to the catalytic function of glucosidase, the present research focuses on the synthesis of sulfonamide-based acyl pyrazoles (5a-k) followed by their in vitro and in silico screening against α-glucosidase. The envisaged structures of prepared compounds were confirmed through NMR and FTIR spectroscopy and mass spectrometry. All compounds were found to be more potent against α-glucosidase than the standard drug, acarbose (IC50 = 35.1 ± 0.14 µM), with IC50 values ranging from 1.13 to 28.27 µM. However, compound 5a displayed the highest anti-diabetic activity (IC50 = 1.13 ± 0.06 µM). Furthermore, in silico studies revealed the intermolecular interactions of most potent compounds (5a and 5b), with active site residues reflecting the importance of pyrazole and sulfonamide moieties. This interaction pattern clearly manifests various structure–activity relationships, while the docking results correspond to the IC50 values of tested compounds. Hence, recent investigation reveals the medicinal significance of sulfonamide-clubbed pyrazole derivatives as prospective therapeutic candidates for treating type 2 diabetes mellitus (T2DM).
Patterns and drivers of tree species diversity in a coniferous forest of northwest China
Authors: Wang Wendong , Zhao Jingjing , Zhang Baojiang , Deng Gang , Maimaiti Alimu , Guo Zhongjun 
Published: April 2024

IntroductionUnderstanding the pattern of species diversity and underlying ecological determinants driving a forest ecosystem is fundamental to conservation biology and forest management. Boreal forests play an irreplaceable role in providing ecosystem services and maintaining the carbon cycle globally, yet research attention remains disproportionately limited and lacking throughout time.MethodsBased on field measurement data from a large (25 ha) fully-mapped coniferous forest plot, the present study quantified patterns of species diversity and their determinants in Kanas of Xinjiang, northwest China. We applied linear regression analysis to test the effects of biotic and soil factors on alpha-diversity and local contribution of beta diversity (LCBD), and then we adopted path analysis to test the determinants that affected the species diversity index.Results and discussionOur results revealed that alpha-diversity indices did not vary greatly across different subplots, and richness value (between 2 and 6) was low in Kanas. Noteworthy is the discerned negative association between the average diameter at breast height (DBH) and species richness, suggesting that areas with smaller DBH values tend to harbor greater species richness. For beta-diversity, a higher value was observed in the substory layer (0.221) compared to both the canopy layer (0.161) and the understory layer (0.158). We also found that the species abundance distance matrix of biological and soil environmental factors were significantly correlated with species geographic distance matrices. More importantly, our results showed that average DBH and soil pH would affect the alpha diversity indices, and average DBH, soil Ph, average height and soil total Phosphorous would affect the beta diversity indices. Soil pH also indirectly affected the LCBDunder, LCBDsub, and LCBDcan (p ≤ 0.001), upon mediation of alpha diversity indices. Overall, our results provide crucial revelations about species diversity patterns in boreal forests, and insights that can support the protection of forest biodiversity in China.
Predicting mitophagy-related genes and unveiling liver endothelial cell heterogeneity in hepatic ischemia-reperfusion injury
Authors: Pan Bochen , Ma Xuan , Zhou Shihuan , Cheng Xiaoling , Fang Jianwei , Yi Qiuyun , Li Yuke , Li Song , Yang Jiawei 
Published: April 2024

BackgroundHepatic Ischemia-Reperfusion Injury (HIRI) is a major complication in liver transplants and surgeries, significantly affecting postoperative outcomes. The role of mitophagy, essential for removing dysfunctional mitochondria and maintaining cellular balance, remains unclear in HIRI.MethodsTo unravel the role of mitophagy-related genes (MRGs) in HIRI, we assembled a comprehensive dataset comprising 44 HIRI samples alongside 44 normal control samples from the Gene Expression Omnibus (GEO) database for this analysis. Using Random Forests and Support Vector Machines - Recursive Feature Elimination (SVM-RFE), we pinpointed eight pivotal genes and developed a logistic regression model based on these findings. Further, we employed consensus cluster analysis for classifying HIRI patients according to their MRG expression profiles and conducted weighted gene co-expression network analysis (WGCNA) to identify clusters of genes that exhibit high correlation within different modules. Additionally, we conducted single-cell RNA sequencing data analysis to explore insights into the behavior of MRGs within the HIRI.ResultsWe identified eight key genes (FUNDC1, VDAC1, MFN2, PINK1, CSNK2A2, ULK1, UBC, MAP1LC3B) with distinct expressions between HIRI and controls, confirmed by PCR validation. Our diagnostic model, based on these genes, accurately predicted HIRI outcomes. Analysis revealed a strong positive correlation of these genes with monocytic lineage and a negative correlation with B and T cells. HIRI patients were divided into three subclusters based on MRG profiles, with WGCNA uncovering highly correlated gene modules. Single-cell analysis identified two types of endothelial cells with different MRG scores, indicating their varied roles in HIRI.ConclusionsOur study highlights the critical role of MRGs in HIRI and the heterogeneity of endothelial cells. We identified the macrophage migration inhibitory factor (MIF) and cGAS-STING (GAS) pathways as regulators of mitophagy’s impact on HIRI. These findings advance our understanding of mitophagy in HIRI and set the stage for future research and therapeutic developments.
Current status of high-risk HPV infection and correlation with multiple infections in cervical lesions in Western Guangzhou
Authors: Li Jianqi , Lai He , Qin Honglei , Zhou Dongmei , Zhao Yang , Sheng Xiujie 
Published: April 2024

ObjectiveThis study aims to investigate the current status of multiple HPV infection and its association with cervical lesions in the western region of Guangzhou.MethodsA retrospective analysis of clinical data from cervical cancer screening patients was conducted. The patients were grouped based on HPV genotypes and cervical pathology results to explore the prevalence of high-risk HPV infection and its relationship with cervical lesions in the western region of Guangzhou. The study also analyzed the relationship between high-risk HPV infection and cervical lesions among different age groups.ResultsA total of 13,060 patients were included in the study, with an overall infection rate of 18.46% (2,411/13,060). Among them, the infection rate of HPV genotype 16 was 14.14% (341/2,411), HPV genotype 18 was 5.23% (126/2,411), and other 12 high-risk HPV genotypes accounted for 71.96% (1,735/2,411). When comparing the incidence of HSIL+ (high-grade squamous intraepithelial lesion or worse) among different HPV genotypes, the results showed that the HPV 16 infection group (47.50%) had a higher incidence than the HPV 18 infection group (25.40%) and the other 12 high-risk HPV genotypes group (15.97%; P &lt; 0.05). In the multiple infection groups, the pathogenicity rates were 63.64% (7/11) for the 16+18 HPV infection group, 42.97% (55/128) for the 16+other 12 high-risk HPV genotypes infection group, 26.79% (15/56) for the 18+other 12 high-risk HPV genotypes infection group, and 57.14% (8/14) for the 16+18+other 12 high-risk HPV genotypes infection group. These rates were significantly different compared to the single infection group (P &lt;0.01). Although there was no statistically significant difference in the incidence of cervical cancer between the HPV 16 infection group and the HPV 18 infection group, both groups had a higher incidence compared to the group with other 12 high-risk HPV genotypes infection (P &lt; 0.05). Further analysis suggests that the severity of cervical lesions is not associated with the number of high-risk HPV infections, i.e., the severity of cervical lesions is unrelated to multiple HPV infections but is instead related to the pathogenicity of the HPV genotypes. The infection rate and multiple HPV infection rate of women under 35 years old were higher than those of women aged 35 and above (20% vs. 17.1%; 2% vs. 1.3%; P &lt; 0.05). Moreover, the pathogenicity rate of HSIL+ among high-risk HPV infection increased with age.ConclusionsIn the western region of Guangzhou, the overall infection rate of high-risk HPV is 18.46%. The severity of cervical lesions is unrelated to multiple HPV infections. The fundamental reason is the distinct pathogenicity of different HPV genotypes. The HSIL+ pathogenicity rates, from high to low, are in sequence for HPV 16, HPV 18, and the other 12 HPV types.
MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning
Authors: López-Cortés Xaviera A. , Manríquez-Troncoso José M. , Hernández-García Ruber , Peralta Daniel 
Published: April 2024

IntroductionAntimicrobial resistance (AMR) is a global health problem that requires early and effective treatments to prevent the indiscriminate use of antimicrobial drugs and the outcome of infections. Mass Spectrometry (MS), and more particularly MALDI-TOF, have been widely adopted by routine clinical microbiology laboratories to identify bacterial species and detect AMR. The analysis of AMR with deep learning is still recent, and most models depend on filters and preprocessing techniques manually applied on spectra.MethodsThis study propose a deep neural network, MSDeepAMR, to learn from raw mass spectra to predict AMR. MSDeepAMR model was implemented for Escherichia coli, Klebsiella pneumoniae, and Staphylococcus aureus under different antibiotic resistance profiles. Additionally, a transfer learning test was performed to study the benefits of adapting the previously trained models to external data.ResultsMSDeepAMR models showed a good classification performance to detect antibiotic resistance. The AUROC of the model was above 0.83 in most cases studied, improving the results of previous investigations by over 10%. The adapted models improved the AUROC by up to 20% when compared to a model trained only with external data.DiscussionThis study demonstrate the potential of the MSDeepAMR model to predict antibiotic resistance and their use on external MS data. This allow the extrapolation of the MSDeepAMR model to de used in different laboratories that need to study AMR and do not have the capacity for an extensive sample collection.
Causal relationship between circulating insulin-like growth factor-1 and Parkinson’s disease: a two-sample Mendelian randomization study
Authors: Xu Jiahao , Fan Peidong , Yang Jiacheng , Yin Mingjuan , Wu Jun , Chen Chao , Ni Jindong 
Published: April 2024

BackgroundLinear associations between circulating insulin-like growth factor-1 (IGF-1) levels and Parkinson’s disease (PD) have been evidenced in observational studies. Yet, the causal relationship between IGF-1 levels and PD remains obscure. We conducted Mendelian randomization to examine the correlation between genetically predicted IGF-1 levels and PD.MethodsBy reviewing genome-wide association studies (GWAS) that are publicly accessible, we uncovered SNPs linked to both serum concentrations of IGF-1 and PD. A two-sample Mendelian randomization (MR) analysis was carried out to evaluate the individual effect of IGF-1 on PD.ResultsIn a primary causal effects model in MR analysis, employing the inverse-variance weighted (IVW) method, IGF-1 levels exhibited a notable association with the risk of PD (OR, 1.020, 95% CI, 1.003–1.038, p = 0.0215). Multiple evaluations revealed that horizontal pleiotropy was improbable to distort the main results (MR-Egger: P PD intercept =0.719), and no bias was detected by leave-one-out analysis.ConclusionThis study unearthed evidence indicating that heightened IGF-1 levels might be causally correlated with an increased risk of PD.