bluuebunny/crossref_metadata_2025_split huggingface dataset:
PERFORMANCE ANALYSIS RESNET50 AND INCEPTIONV3 MODELS FOR CAPTION IMAGE GENERATOR
Authors: Priyambudi Hasif , Hadinegoro Arifiyanto 
Published: July 2023

Abstract: Generating caption image automatically is one of the challenges in computer vision. This field can be very helpful in many ways, for example search engines. Currently there are many image classification algorithms that we can use to create a caption image model. In this article, we will compare performance between the Resnet50 and InceptionV3 models for text images. We will use 2000 (1800 train & 200 validation) image data and each image has 5 example captions to train the model. After the model is successfully created, we evaluate the model using 100 images and each image has 5 examples of additional captions that are not used in the training and validation process. The result of this research is that the InceptionV3 model is better than Resnet50. BLEU-1 is 0.53, BLEU-2 is 0.35, BLEU-3 is 0.18, BLEU-4 is 0.09, and METEOR is 0.35 for InceptionV3 model. While Resnet50 model has a value of BLEU-1 is 0.51, BLEU-2 is 0.31, BLEU-3 is 0.16, BLEU-4 is 0.06, and METEOR is 0.33. Keywords: caption image; inceptionv3; LSTM; resnet50 Abstrak: Membuat gambar teks secara otomatis adalah salah satu tantangan dalam computer vision. Bidang ini bisa sangat membantu dalam banyak hal, misalnya mesin pencari. Saat ini banyak sekali algoritma klasifikasi citra yang dapat kita gunakan untuk membuat model teks citra. Pada artikel ini, kami akan membandingkan performa antara model Resnet50 dan InceptionV3 untuk gambar teks. Kami akan menggunakan 2000 (1800 train & 200 validation) data gambar dan setiap gambar memiliki 5 contoh caption untuk melatih model. Setelah model berhasil dibuat, kami mengevaluasi model menggunakan 100 gambar dan setiap gambar memiliki 5 contoh caption tambahan yang tidak digunakan dalam proses training dan validation. Hasil dari penelitian ini adalah model InceptionV3 lebih baik dibandingkan dengan Resnet50. BLEU-1 0.53, BLEU-2 0.35, BLEU-3 0.18, BLEU-4 0.09, dan METEOR 0.35 untuk model InceptionV3. Sedangkan model Resnet50 memiliki nilai BLEU-1 0.51, BLEU-2 0.31, BLEU-3 0.16, BLEU-4 0.06, dan METEOR 0.33. Kata kunci: caption image; inceptionv3; LSTM; resnet50
ADOPTION AUGMENTED REALITY FOR THE DEVELOPMENT OF MEDIA SOCIALIZATION DRUG ABUSE PREVENTION
Authors: Firdaus Shovi , Dijaya Rohman , Suprianto Suprianto 
Published: July 2023

Abstract: Drug abuse in Indonesia is currently very worrying because of the lack of information and knowledge about the risks posed by drug abuse. Much information about drug abuse prevention is disseminated through various media such as films, seminars, training, and guidance groups. This study aims to create drug counseling media that uses 3D technology and is created through the Blender 3D tool, by combining text, audio, and video. 3D models of Image objects are represented by Augmented Reality (AR) technology. Application development is made using the MDLC (Multimedia Development Life Cycle) method. The results of this study are the development of an Augmented Reality application for social media for drug abuse using the Trilib Technique, which is a cross-platform 3D model importer. Keywords: Augmented Reality; Drugs; Blender; Trilib; MDLC Abstrak: Penyalahgunaan narkoba di Indonesia saat ini sangat mengkhawatirkan karena kurangnya informasi dan pengetahuan tentang risiko yang ditimbulkan oleh penyalahgunaan narkoba. Banyak informasi tentang pencegahan penyalahgunaan narkoba disebarkan melalui berbagai media seperti film, seminar, pelatihan, dan kelompok bimbingan. Penelitian ini bertujuan untuk menciptakan media penyuluhan narkoba yang menggunakan teknologi 3D dan dibuat melalui perangkat Blender 3D, dengan menggabungkan teks, audio, dan video. Model 3D objek figur direpresentasikan dengan teknologi Augmented Reality (AR). Pengembangan aplikasi dibuat dengan menggunakan metode MDLC (Multimedia Development Life Cycle). Hasil pada penelitian ini merupakan sebuah pengembangan aplikasi Augmented Reality untuk media sosialiasi penyalahgunaan narkoba dengan menggunakan Teknik Trilib yang merupakan importir model 3d secara runtime dengan lintas platform. Kata kunci: Augmented Reality; Narkoba; Blender; Trilib; MDLC
CLASSIFICATION C4.5 METHOD IN SELECTION OF PASKIBRA MEMBERS
Authors: Nofitri Rika 
Published: July 2023

Abstract: Paskibra selection is an annual agenda held by schools, district disporas, provincial disporas, and the Ministry of Youth and Youth. This activity aim select the best students who will serve as flag raisers at independence commemoration ceremonies and other holidays. Paskibra participants have to choose. This reliable, formidable and attractive students are choosen. So the flag raising can be carried out solemnly and well. This school has a large number of students. Paskibra extracurricular enthusiasts also have many enthusiasts. This school Paskibra is a favourite extracurricular and quite prestigious among students. The selection of Paskibra has been running so well, but the decisions taken are sometimes not by the standards procedures. Therefore, a system that will be a reference for objective decision-making need to created . The decision-making system using the data mining algorithm C4.5. This study aim to create a system that makes it easier for the selection committee to select eligible Paskibra members. The method used is a qualitative method in the form of the results of interviews with data from participants in the last three years of the Pakskibra selection. As a result, there are three main criteria and five rules of the selection system. Keywords: C4.5 algorithm; data mining; paskibra Abstrak: Seleksi paskibra merupakan agenda tahunan yang diadakan oleh sekolah, dispora kabupaten, dispora provinsi, dan kemenpora untuk memilih siswa-siswi terbaik yang akan bertugas sebagai pengibar bendera pada upacara peringatan kemerdekaan dan hari-hari besar lainnya. Peserta paskibra perlu diseleksi agar terpilih siswa-siswi yang handal, tangguh dan menarik sehingga pengiabaran bendera dapat dilaksanakan dengan khidmad dan baik. Sekolah ini adalah salah satu sekolah menengah atas yang menjadi favorit para lulusan SMP. Oleh karena itu sekolah ini mempunyai siswa yang sangat banyak. Dengan banyaknya siswa yang masuk, maka peminat ekskul paskibra juga memiliki peminat yang banyak, selain itu di sekolah ini paskibra merupakan ekskul favorit dan cukup bergengsi di kalangan siswa. Seleksi paskibra yang berjalan selama ini sudah dilakukan dengan baik, akan tetapi keputusan yang diambil terkadang tidak sesuai dengan standar yang telah ditetapkan. Oleh karena itu perlu dibuatkan sebuah sistem yang akan menjadi acuan untuk pengambilan keputusan yang objektif. Sistem pengambilan keputusan akan dibuat menggunakan data mining algoritma C4.5. Tujuan dari penelitian ini adalah membuat sebuah sistem yang memudahkan panitia penyeleksi untuk memilih anggota paskibra yang layak. Metode yang digunakan adalah metode kualitatif berupa hasil wawancara data peserta seleksi pakskibra tiga tahun terakhir. Hasilnya berupa tiga kriteria utama dan lima aturan sistem seleksi. Kata kunci: Algoritma C4.; data mining; paskibra;
Pengolahan Limbah Kulit Kopi sebagai Pupuk Organik Tanaman Kopi di Desa Tapak Gedung Kabupaten Kepahiang
Authors: Sura Menda Ginting  , Handayani Dewi , Sutrawati Mimi 
Published: July 2023

Community service was conducted in Tapak Gedung Village, Kepahiang Regency to coffee farmers. This activity aims to enrich to coffee farmers and gives training on processing coffee bean waste (coffee bean skins) into liquid organic fertilizer with green chemistry principle. The material of how fertilizer processing was given by a lecturer from Agriculture Faculty continued by practical training on how the liquid organic fertilizer was made from coffee bean waste. This activity was followed by around 30 participants with high enthusiasm on the training. The production of organic fertilizer was done by mixing local microorganism, coffee bean waste and water into an airtight container. The result was brownish liquid with distinct alcohol odor, which indicates decomposition process by microorganism. Evaluation pre-activity using questionnaire showed that most respondents had little to no knowledge of how to utilize coffee bean waste, and post-activity questionnaire result showed that more than 90% respondents agree to utilize liquid organic fertilizer as replacement for synthetic fertilizer and agree to sustainably continuing the program to utilize coffee bean waste as liquid organic fertilizer.
Developing Tiktok Learning Videos as Instructional Media to Engage Students’ Speaking Skills
Authors: Ningsih Sri Ajeng Jatry , Yuliana Yohanes Gatot Sutapa , Ikhsanudin Ikhsanudin 
Published: July 2023

Currently, social media usage and education are tightly connected. However, teachers and students are still exposed to new obstacles as the situation changes. In the preliminary study, the researcher discovered that one of the issues was the lack of student engagement while using technology in learning speaking through online learning. Thus, the aim of this study is to develop a TikTok as instructional videos for SMPN 3 Singkawang in order to engage their speaking skills. The design of this study is a research and development design that applies ADDIE work procedures (Analysis, Design, Development or Production, Implementation or delivery, and Evaluation). The participants of the research were an English teacher and 30 junior high school students in SMPN 3 Singkawang. Qualitative data were collected from pre-observation during online classes, semi-structured interviews, and observation. On the other hand, quantitative data were collected from questionnaires as needed analysis, expert judgment, and observation sheets in the implementation phase that used the Likert scale percentage. The material expert got 55 points from 60/93.75%, categorized as very good, the Media expert got 75 from 80/91.66%, categorized as Very good. The score from the observation sheet results in the implementation stage is 89,58% which indicated that the media is in a very good category to use as a learning tool to engage speaking skills. Thus, Tiktok instructional videos have proven that it could engage students’ speaking skills.
Perancangan Sistem Informasi Pemesanan Tiket Konser Musik Berbasis Web Menggunakan Unified Modeling Language (UML)
Authors: Margaretha Joice , Voutama Apriade 
Published: July 2023

Sistem informasi menjadi salah satu penerapan dari teknologi informasi, di mana melalui sistem informasi setiap orang dengan mudah mengakses informasi yang dibutuhkan kapanpun dan dimanapun. Salah satu penerapan dari sistem informasi yaitu pada pemesanan tiket konser musik. Sistem ini ditujukan kepada pengguna yang ingin mengetahui terkait pemesanan tiket yang dilakukan secara online melalui website. Pada sistem ini, pengunjung dapat melihat informasi tentang event yang akan diadakan tanpa harus login dan pembeli dapat melihat dan membeli tiket yang diinginkan dengan mudah tanpa harus datang ke loket pembelian. Perancangan ini menggunakan metode UML (Unified Modeling Language) yang di mana dapat membantu dalam pembuatan desain dengan bantuan diagram. Perancangan ini dapat membantu setiap pengunjung dan pembeli dalam pemesanan tiket konser melalui website dan juga membantu admin dalam mendata event yang akan berlangsung serta mempermudah dalam administrasi.
Pengaruh Pengembangan Kawasan Sentra Peternakan Rakyat (SPR) Terhadap Kesejahteraan Masyarakat di Kecamatan Landono
Authors: Alif Abdussalam  , Suryanto  
Published: July 2023

The development of Sentra Peternakan Rakyat (SPR) area is the development program of the livestock sub-sector based on area and local resources. The aims of this research are 1). to determine the effect of the beef cattle commodity SPR area development program in Landono District on the income of farmers; and 2). To find out the factors that influence the development program of SPR area for beef cattle commodities in Landono District. This research is evaluative in nature using a deductive approach with quantitative and qualitative methods. Research data were analyzed using quantitative analysis with data gradations in the form of percentages to answer the first research objective, then using quantitative analysis, namely multiple linear regression to answer the second research objective. The results showed that the income level of farmers showed an increase after the development program of SPR area for beef cattle commodities in Landono District. Then, the factors that influence the development program of SPR area include accessibility, access to marketing, land area, workforce and government support.
Keywords: area, development, SPR.
Pengembangan kawasan Sentra Peternakan Rakyat (SPR) merupakan program pengembangan subsektor peternakan yang berbasis kawasan dan sumber daya lokal. Tujuan penelitian ini yaitu 1). untuk mengetahui pengaruh program pengembangan kawasan SPR komoditas sapi potong di Kecamatan Landono terhadap pendapatan peternak; dan 2). untuk mengetahui faktor-faktor yang berpengaruh dalam program pengembangan kawasan SPR komoditas sapi potong di Kecamatan Landono. Penelitian ini bersifat evaluatif yang menggunakan pendekatan deduktif dengan metode kuantitatif dan kualitatif. Data penelitian dianalisis menggunakan analisis kuantitatif dengan gradasi data berupa persentase untuk menjawab tujuan penelitian pertama, kemudian menggunakan analisis kuantitatif yaitu regresi linear berganda untuk menjawab tujuan penelitian kedua. Hasil penelitian menunjukkan bahwa tingkat pendapatan peternak menunjukkan peningkatan setelah adanya program pengembangan kawasan SPR komoditas sapi potong di Kecamatan Landono. Kemudian faktor-faktor yang berpengaruh dalam program pengembangan kawasan SPR tersebut meliputi aksesibilitas, akses pemasaran, luas lahan, tenaga kerja dan dukungan pemerintah.
Kata kunci: kawasan, pengembangan, SPR
Nitric oxide synthase 2 genetic variation rs2297514 associates with a decreased susceptibility to extremity post-traumatic osteomyelitis in a Chinese Han population
Authors: Song Chen-sheng , Zhang Ping , Lin Qing-rong , Hu Ying-yu , Pan Chun-qiu , Jiang Nan , Hu Yan-jun 
Published: July 2023

BackgroundPrevious studies have indicated that nitric oxide synthase 2 (NOS2) genetic variations are involved in delayed fracture healing and fracture non-union. Whether these genetic variants associate with the development of osteomyelitis (OM) remains unclear. Here, we analyzed the potential relationships between NOS2 genetic variations and the risk of developing post-traumatic OM (PTOM) in a Chinese Han population.MethodsAltogether 704 participants, including 336 PTOM patients and 368 healthy controls, were genotyped of rs2297514 and rs2248814 of the NOS2 gene using the SNaPshot genotyping method.ResultsOutcomes showed that the frequency of allele C of rs2297514 in the patient group was significantly lower than that in the control group (48.7% vs. 54.5%, P = 0.029, OR = 0.792, 95% CI 0.642 – 0.976). In addition, significant associations were found between rs2297514 and susceptibility to PTOM by the recessive model (P = 0.007, OR = 0.633, 95% CI 0.453 – 0.884), and the homozygous model (P = 0.039, OR = 0.648, 95% CI 0.429 – 0.979). Moreover, patients with the CC genotype of rs2297514 had lower inflammatory biomarkers levels than the TT genotype, especially for the C-reactive protein (CRP) level (median: 4.1 mg/L vs. 8.9 mg/L, P = 0.027). However, no significant relationship was noted between rs2248814 and the risk of developing PTOM.ConclusionIn this Chinese cohort, rs2297514 is correlated with a decreased risk of PTOM development, with genotype CC as a protective factor.
The novel H2VK-65 clinical risk assessment tool predicts high coronary artery calcium score in symptomatic patients referred for coronary computed tomography angiography
Authors: Kaolawanich Yodying , Prapan Natthaporn , Phoopattana Supamongkol , Boonyasirinant Thananya 
Published: July 2023

BackgroundCoronary computed tomographic angiography (CCTA) has emerged as a powerful imaging modality for the detection and prognostication of individuals with suspected coronary artery disease (CAD). High amounts of coronary artery calcium (CAC) significantly obscure the interpretation of CCTA. Clinical risk assessment tools and data specific to predictors of high CAC in symptomatic patients are limited.MethodsConsecutive patients who underwent CAC scan and CCTA to diagnose CAD during 2016–2020 were included. A high CAC score was defined as &gt;400 by Agatston method. Univariate and multivariate analyses were performed to determine the predictors of high CAC. The clinical risk score was derived from factors independently associated with high CAC. The derivation cohort was composed of 465 patients; this score was validated in 98 patients.ResultsThe mean age was 63 ± 11 years, 53% were female, and 15.9% had high CAC scores. The independent predictors of high CAC scores were age &gt;65 years (odds ratio [OR] 3.02, 95% confidence interval (95%CI) 1.56–5.85, p = 0.001), chronic kidney disease (CKD) (OR 11.09, 95%CI 3.38–36.38, p &lt; 0.001), heart failure (OR 6.52, 95%CI 2.23–19.09, p = 0.001), hypertension (OR 26.44, 95%CI 9.02–77.44, p &lt; 0.001), and vascular diseases, including ischemic stroke/transient ischemic attack and peripheral arterial disease (OR 20.96, 95%CI 4.19–104.86, p &lt; 0.001). The H2VK-65 (Hypertension, Heart failure, Vascular diseases, CKD, and Age &gt; 65) score allocates 1 point for age &gt;65, 2 points for CKD or heart failure, and 3 points for hypertension or vascular diseases. Using a threshold of ≥4 points, the sensitivity and specificity to detect high CAC was 81% and 80%, respectively. The area under the curve was 0.88 and 0.85 in the derivation and validation cohorts, respectively.ConclusionThe novel H2VK-65 score demonstrated good performance for predicting high CAC scores in symptomatic patients referred for CCTA.
Identification of biomarkers associated with diagnosis of postmenopausal osteoporosis patients based on bioinformatics and machine learning
Authors: Huang Xinzhou , Ma Jinliang , Wei Yongkun , Chen Hui , Chu Wei 
Published: July 2023

Background: Accumulating evidence suggests that postmenopausal osteoporosis (PMOP) is a common chronic systemic metabolic bone disease, but its specific molecular pathogenesis remains unclear. This study aimed to identify novel genetic diagnostic markers for PMOP.Methods: In this paper, we combined three GEO datasets to identify differentially expressed genes (DEGs) and performed functional enrichment analysis of PMOP-related differential genes. Key genes were analyzed using two machine learning algorithms, namely, LASSO and the Gaussian mixture model, and candidate biomarkers were found after taking the intersection. After further ceRNA network construction, methylation analysis, and immune infiltration analysis, ACACB and WWP1 were finally selected as diagnostic markers. Twenty-four clinical samples were collected, and the expression levels of biomarkers in PMOP were detected by qPCR.Results: We identified 34 differential genes in PMOP. DEG enrichment was mainly related to amino acid synthesis, inflammatory response, and apoptosis. The ceRNA network construction found that XIST—hsa-miR-15a-5p/hsa-miR-15b-5p/hsa-miR-497-5p and hsa-miR-195-5p—WWP1/ACACB may be RNA regulatory pathways regulating PMOP disease progression. ACACB and WWP1 were identified as diagnostic genes for PMOP, and validated in datasets and clinical sample experiments. In addition, these two genes were also significantly associated with immune cells, such as T, B, and NK cells.Conclusion: Overall, we identified two vital diagnostic genes responsible for PMOP. The results may help provide potential immunotherapeutic targets for PMOP.
Cell type- and time-dependent biological responses in ex vivo perfused lung grafts
Authors: Gouin Carla , Vu Manh Thien-Phong , Jouneau Luc , Bevilacqua Claudia , De Wolf Julien , Glorion Matthieu , Hannouche Laurent , Urien Céline , Estephan Jérôme , Roux Antoine , Magnan Antoine , Le Guen Morgan , Da Costa Bruno , Chevalier Christophe , Descamps Delphyne , Schwartz-Cornil Isabelle , Dalod Marc , Sage Edouard 
Published: July 2023

In response to the increasing demand for lung transplantation, ex vivo lung perfusion (EVLP) has extended the number of suitable donor lungs by rehabilitating marginal organs. However despite an expanding use in clinical practice, the responses of the different lung cell types to EVLP are not known. In order to advance our mechanistic understanding and establish a refine tool for improvement of EVLP, we conducted a pioneer study involving single cell RNA-seq on human lungs declined for transplantation. Functional enrichment analyses were performed upon integration of data sets generated at 4 h (clinical duration) and 10 h (prolonged duration) from two human lungs processed to EVLP. Pathways related to inflammation were predicted activated in epithelial and blood endothelial cells, in monocyte-derived macrophages and temporally at 4 h in alveolar macrophages. Pathways related to cytoskeleton signaling/organization were predicted reduced in most cell types mainly at 10 h. We identified a division of labor between cell types for the selected expression of cytokine and chemokine genes that varied according to time. Immune cells including CD4+ and CD8+ T cells, NK cells, mast cells and conventional dendritic cells displayed gene expression patterns indicating blunted activation, already at 4 h in several instances and further more at 10 h. Therefore despite inducing inflammatory responses, EVLP appears to dampen the activation of major lung immune cell types, what may be beneficial to the outcome of transplantation. Our results also support that therapeutics approaches aiming at reducing inflammation upon EVLP should target both the alveolar and vascular compartments.
Guianensin, a Simulium guianense salivary protein, has broad anti-hemostatic and anti-inflammatory properties
Authors: Valenzuela-Leon Paola Carolina , Campos Chagas Andrezza , Martin-Martin Ines , Williams Adeline E. , Berger Markus , Shrivastava Gaurav , Paige Andrew S. , Kotsyfakis Michalis , Tirloni Lucas , Calvo Eric 
Published: July 2023

BackgroundSalivary glands from blood-feeding arthropods secrete several molecules that inhibit mammalian hemostasis and facilitate blood feeding and pathogen transmission. The salivary functions from Simulium guianense, the main vector of Onchocerciasis in South America, remain largely understudied. Here, we have characterized a salivary protease inhibitor (Guianensin) from the blackfly Simulium guianense.Materials and methodsA combination of bioinformatic and biophysical analyses, recombinant protein production, in vitro and in vivo experiments were utilized to characterize the molecula mechanism of action of Guianensin. Kinetics of Guianensin interaction with proteases involved in vertebrate inflammation and coagulation were carried out by surface plasmon resonance and isothermal titration calorimetry. Plasma recalcification and coagulometry and tail bleeding assays were performed to understand the role of Guianensin in coagulation.ResultsGuianensin was identified in the sialotranscriptome of adult S. guianense flies and belongs to the Kunitz domain of protease inhibitors. It targets various serine proteases involved in hemostasis and inflammation. Binding to these enzymes is highly specific to the catalytic site and is not detectable for their zymogens, the catalytic site-blocked human coagulation factor Xa (FXa), or thrombin. Accordingly, Guianensin significantly increased both PT (Prothrombin time) and aPTT (Activated partial thromboplastin time) in human plasma and consequently increased blood clotting time ex vivo. Guianensin also inhibited prothrombinase activity on endothelial cells. We show that Guianensin acts as a potent anti-inflammatory molecule on FXa-induced paw edema formation in mice.ConclusionThe information generated by this work highlights the biological functionality of Guianensin as an antithrombotic and anti-inflammatory protein that may play significant roles in blood feeding and pathogen transmission.