bluuebunny/crossref_metadata_2025_split huggingface dataset:
METODE PELAKSANAAN PEKERJAAN ASPHALT CONCRETE BINDER COURSE (AC-BC) PADA RUAS JALAN BATU GONG, KABUPATEN KONAWE, SULAWESI TENGGARA (Studi Kasus Jalan Poros Batu Gong – Bts. Kota Kendari)
Authors: Larasanti Nur , Nasrul Nasrul , Nuhun Ridwan Syah 
Published: June 2023

Melihat kondisi lokasi dimana banyak kerusakan-kerusakan badan jalan baik itu kerusakan struktular, retak, maupun berlubang. Banyaknya pengguna jalan yang semakin hari semakin bertambah tentu makin banyak pula permasalahan yang timbul pada perkerasan jalan raya, maka perlu diadakan peningkatan jalan, agar terciptanya kelancaran dan kenyamanan dalam berlalu lintas. Penelitian ini bertujuan untuk mengetahui metode pelaksanaan dan pengendalian mutu hasil pekerjaan Asphalt Concrete Binder Course dan untuk mengevaluasi metode pelaksanaan dan pengendalian mutu hasil pekerjaan Asphalt Concrete Binder Course. Penelitian ini menggunakan metode deskriptif kuantitatif. Metode kuantitatif memandang fakta pada objek penelitian. Peneliti harus melihat berdasarkan apa yang ditemukan di lapangan. Dalam pelaksanaan pekerjaan lapis resap pengikat (Prime Coat), tahapan pekerjaan yang dilakukan oleh pihak Kontraktor Pelaksana sudah sesuai dengan dengan metode pelaksanaan yang dianjurkan dalam spesifikasi umum Bina Marga 2018 divisi VI. Dalam pelaksanaan pekerjaan Asphalt Concrete Binder Course (AC-BC), tahapan pekerjaan yang dilakukan oleh pihak Kontraktor Pelaksana belum sesuai dengan metode pelaksanaan yang dianjurkan dalam spesifikasi umum Bina Marga 2018 divisi VI dimana pada saat pemadatan AC-BC dilakukan dilapangan sebanyak 2 penggilasan, sedangkan berdasarkan spesifikasi Bina Marga 2018 Divisi VI penggilasan AC-BC dilakukan sebanyak 3 kali penggilasan yaitu penggilasan awal (break down), penggilasan sekunder (intermediate) dan penggilasan akhir (finishing).
TINJAUAN PENGARUH KETERLAMBATAN PEKERJAAN JEMBATAN SUNGAI KAMBU
Authors: Kolo Sepri , Mursidi Baso , Mustika Wayan 
Published: June 2023

Keterlambatan waktu proyek merupakan suatu peristiwa yang terjadi pada setiap proyek. Keterlambatan pada proyek dapat berakibat pada berkurangnya keuntungan yang telah ditargetkan oleh kontraktor. Keterlambatan waktu juga dapat disebabkan oleh buruknya manajemen proyek dan juga kesalahan-kesalahan yang disebabkan oleh sumber daya manusia didalamnya. Tujuan dari penelitianini adalah untuk mengidentifikasi faktor-faktor yang menyebabkan keterlambatan waktu pada Proyek Pembangunan Jembatan Sungai Kambu (lanjutan), Kota Kendari, Sulawesi Tenggara, serta menganalisis peringkat (rangking) faktor-faktor yang mempengaruhi keterlambatan waktu pada proyek tersebut. Penelitian ini dilakukan dengan menggunakan kuesioner sebagai alat pengumpul data. Metode analisis data yang diguanakan pada penelitian ini adalah PMBOK project management knowledge area dengan Uji Validitas, Uji Reliabilitas. Dari 30 responden yang turut berpatisipasi, dapat disimpulkan bahwa faktor cuaca merupakan faktor yang paling dominan dari semua faktor-faktor penyebab keterlambatan waktu. Pada proyek Proyek Pembangunan Jembatan Sungai Kambu (lanjutan), Kota Kendari, Sulawesi Tenggara yang menyebebkan keterlambatan waktu yaitu Variabel keterlambatan yang desebabkan oleh cuaca dengan nilao ranking3,967 kemudian disusul oleh kendala pada pandemi covid-19 dengan nilai ranking 2,033.
ANALISIS TINGKAT KERUSAKAN PERKERASAN JALAN DENGAN METODE BINA MARGA (Studi Kasus: Jalan Bukit Kendari Indah, Kecamatan Baruga, Kota Kendari)
Authors: Dawayanti Wa Ode Rezkaleonita , Ahmad Siti Nurjanah , Arsyad La Ode Muhammad Nurrakhmad , Soeparyanto Try Sugiyarto 
Published: June 2023

Penelitian ini bertujuan mengetahui jenis kerusakan dan penyebab kerusakan jalan Bukit Kendari Indah berdasarkan Metode Bina Marga dan mengetahui prosedural penanganan kerusakan jalan yang terjadi pada Jalan Bukit Kendari Indah Berdasarkan Metode Bina Marga. Ruas jalan dalam penelitian ini yakni pada ruas jalan Bukit Kendari Indah, pada ruas jalan tersebut terdapat berbagai macam kerusakan, jenis pengambilan data yaitu berupa data primer seperti bentuk kerusakan jalan, dimensi kerusakan jalan dan volume lalulintas. Metode yang digunakan dalam penelitian ini mengacu pada metode Bina Marga didasarkan urutan prioritas penanganan dari rentang nilai 0 sampai lebih dari 7 untuk mendapatkan penanganan jalan yang tepat. Berdasarkan hasil analisis tingkat kerusakan perkerasan jalan Bukit Kendari Indah diperoleh 3 jenis kerusakan yakni lubang dengan luas kerusakan sebesar 5,02 m2 (1,2 %), retak 7,18 m2 (2 %), Amblas 1,51 m2 (0,38 %). Kerusakan jalan yang paling dominan pada ruas jalan Bukit Kendari Indah yaitu kerusakan retak yang disebabkan oleh buruknya sistem drainase jalan dan prosedur penanganan kerusakan jalan retak yakni dengan cara menambal retakan-retakan yang ada dan pembangunan sistem drainase yang baik.
Analisis Kebutuhan Ruang Parkir dan Penataannya pada RSUD Kabupaten Bombana
Authors: Riswandi Riswandi , Soeparyanto Try Sugiyarto , Nuhun Ridwansyah 
Published: June 2023

Akibat fasilitas dan areal parkir yang kurang memadai di RSUD Kabupaten Bombana mengakibatkan banyaknya kendaraan yang tidak tertata dengan baik. Penelitian ini bertujuan untuk mengetahui karakteristik dan kebutuhan ruang parkir pada RSUD Kabupaten Bombana. Metode dalam penelitian ini yaitu dengan melakukan survey data primer berupa pencatatan kendaraan yang masuk keluar dari parkiran, kendaraan yang parkir dibadan jalan dan kendaraan yang telah terparkir sebelumnya. dan survey data sekunder berupa permintaan data tenaga pekerja dan staf. Hasil analisis kebutuhan lahan parkir kendaraan roda dua untuk memenuhi kondisi lahan parkir existing adalah sebanyak 30 petak parkir atau seluas 45 M2 dan untuk lahan parkir roda empat sebanyak 14 petak parkir atau seluas 180 M2 dan pada 5 tahun mendatang kendaraan roda dua membutuhkan 312 M2 sedangkan untuk kendaraan roda empat sebesar 975 M2.
Analisis Biaya dan Produktivitas Alat Berat Pada Kegiatan Peningkatan Jalan Sidamangura-Guali Kabupaten Muna Barat
Authors: Razak La Ode Abdul , Nasrul Nasrul , Makmur Muammar , Mas'ud Fitriah , Soeparyanto Try Sugiyarto , Adityawan Muh. Handy Dwi 
Published: June 2023

Penelitian ini bertujuan untuk mengetahui besar biaya dan produktivitas alat berat pada kegiatan Peningkatan Jalan Sidamangura-Guali Kabupaten Muna Barat pada item pekerjaan lapis pondasi agregat kelas A dan lapis Permukaan CPHMA. Alat berat yang diteliti pada tugas akhir ini adalah Wheel loader, Dump truck, Motor grader, Vibrator roller dan Water tank truck, Dump Truck, Asphalt finisher, Tandem Roller P.tyre Roller. Perhitungan Analisa produktivitas alat berat mengacu pada Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat No. 28 Tahun 2016 Bidang Binamarga. Hasil penelitian ini menunjukan bahwa pada pekerjaan Lapis pondasi agregat kelas A dan Lapis permukaan CPHMA, 1 unit wheel loader bekerja selama 44,31 jam dengan biaya alat berat sebesar Rp.35.766.989,8, 8 unit dump truck bekerja selama 170,96 jam dengan biaya alat berat sebesar Rp.878.023.595, 1 unit motor grader bekerja selama 15 jam dengan alat berat sebesar Rp.13.239.873, 1 unit vibrator roller bekerja selama 52,11 jam dengan biaya alat berat sebesar Rp.29.178.751,1, 1 unit water tank truck bekerja selama 26,6 jam dengan biaya alat berat sebesar Rp. 20.404.688, 1 unit asphalt finisher, bekerja selama 42,65 jam dengan biaya alat sebesar 32.602.845,8, 1 unit tandem roller, bekerja selama 14,21 jam dengan biaya alat sebesar 10.444.055,6, 1 unit peneumathic tire roller, bekerja selama 15,64 jam dengan biaya alat sebesar 13.973.569,6.
Polymyxin B complexation enhances the antimicrobial potential of graphene oxide
Authors: Pandit Santosh , Jacquemin Lucas , Zhang Jian , Gao Zhengfeng , Nishina Yuta , Meyer Rikke Louise , Mijakovic Ivan , Bianco Alberto , Pang Chengfang 
Published: June 2023

IntroductionThe antibacterial activity of graphene oxide (GO) has been widely explored and tested against various pathogenic bacterial strains. Although antimicrobial activity of GO against planktonic bacterial cells was demonstrated, its bacteriostatic and bactericidal effect alone is not sufficient to damage sedentary and well protected bacterial cells inside biofilms. Thus, to be utilized as an effective antibacterial agent, it is necessary to improve the antibacterial activity of GO either by integration with other nanomaterials or by attachment of antimicrobial agents. In this study, antimicrobial peptide polymyxin B (PMB) was adsorbed onto the surface of pristine GO and GO functionalized with triethylene glycol.MethodsThe antibacterial effects of the resulting materials were examined by evaluating minimum inhibitory concentration, minimum bactericidal concentration, time kill assay, live/dead viability staining and scanning electron microscopy.Results and discussionPMB adsorption significantly enhanced the bacteriostatic and bactericidal activity of GO against both planktonic cells and bacterial cells in biofilms. Furthermore, the coatings of PMB-adsorbed GO applied to catheter tubes strongly mitigated biofilm formation, by preventing bacterial adhesion and killing the bacterial cells that managed to attach. The presented results suggest that antibacterial peptide absorption can significantly enhance the antibacterial activity of GO and the resulting material can be effectively used not only against planktonic bacteria but also against infectious biofilms.
Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations
Authors: Lee Heesun , Kang Bong Gyun , Jo Jeonghee , Park Hyo Eun , Yoon Sungroh , Choi Su-Yeon , Kim Min Joo 
Published: June 2023

BackgroundAlthough coronary computed tomography angiography (CCTA) is currently utilized as the frontline test to accurately diagnose coronary artery disease (CAD) in clinical practice, there are still debates regarding its use as a screening tool for the asymptomatic population. Using deep learning (DL), we sought to develop a prediction model for significant coronary artery stenosis on CCTA and identify the individuals who would benefit from undergoing CCTA among apparently healthy asymptomatic adults.MethodsWe retrospectively reviewed 11,180 individuals who underwent CCTA as part of routine health check-ups between 2012 and 2019. The main outcome was the presence of coronary artery stenosis of ≥70% on CCTA. We developed a prediction model using machine learning (ML), including DL. Its performance was compared with pretest probabilities, including the pooled cohort equation (PCE), CAD consortium, and updated Diamond-Forrester (UDF) scores.ResultsIn the cohort of 11,180 apparently healthy asymptomatic individuals (mean age 56.1 years; men 69.8%), 516 (4.6%) presented with significant coronary artery stenosis on CCTA. Among the ML methods employed, a neural network with multi-task learning (19 selected features), one of the DL methods, was selected due to its superior performance, with an area under the curve (AUC) of 0.782 and a high diagnostic accuracy of 71.6%. Our DL-based model demonstrated a better prediction than the PCE (AUC, 0.719), CAD consortium score (AUC, 0.696), and UDF score (AUC, 0.705). Age, sex, HbA1c, and HDL cholesterol were highly ranked features. Personal education and monthly income levels were also included as important features of the model.ConclusionWe successfully developed the neural network with multi-task learning for the detection of CCTA-derived stenosis of ≥70% in asymptomatic populations. Our findings suggest that this model may provide more precise indications for the use of CCTA as a screening tool to identify individuals at a higher risk, even in asymptomatic populations, in clinical practice.
Optimized ensemble model for wind power forecasting using hybrid whale and dipper-throated optimization algorithms
Authors: Alhussan Amel Ali , Farhan Alaa Kadhim , Abdelhamid Abdelaziz A. , El-Kenawy El-Sayed M. , Ibrahim Abdelhameed , Khafaga Doaa Sami 
Published: June 2023

Introduction: Power generated by the wind is a viable renewable energy option. Forecasting wind power generation is particularly important for easing supply and demand imbalances in the smart grid. However, the biggest challenge with wind power is that it is unpredictable due to its intermittent and sporadic nature. The purpose of this research is to propose a reliable ensemble model that can predict future wind power generation.Methods: The proposed ensemble model comprises three reliable regression models: long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM models. To boost the performance of the proposed ensemble model, the outputs of each model are optimally weighted to form the final prediction output. The ensemble models’ weights are optimized in terms of a newly developed optimization algorithm based on the whale optimization algorithm and the dipper-throated optimization algorithm. On the other hand, the proposed optimization algorithm is converted to binary to be used in feature selection to boost the prediction results further. The proposed optimized ensemble model is tested in terms of a dataset publicly available on Kaggle.Results and discussion: The results of the proposed model are compared to the other six optimization algorithms to prove the superiority of the proposed optimization algorithm. In addition, statistical tests are performed to highlight the proposed approach’s performance and effectiveness in predicting future wind power values. The results are evaluated using a set of criteria such as root mean square error (RMSE), mean absolute error (MAE), and R2. The proposed approach could achieve the following results: RMSE = 0.0022, MAE = 0.0003, and R2 = 0.9999, which outperform those results achieved by other methods.
Linear and landscape disturbances alter Mojave desert tortoise movement behavior
Authors: Hromada Steven J. , Esque Todd C. , Vandergast Amy G. , Drake K. Kristina , Chen Felicia , Gottsacker Ben , Swart Jordan , Nussear Kenneth E. 
Published: June 2023

IntroductionAnimal movements are influenced by landscape features; disturbances to the landscape can alter movements, dispersal, and ultimately connectivity among populations. Faster or longer movements adjacent to a localized disturbance or within disturbed areas could indicate reduced habitat quality whereas slower or shorter movements and reduced movements may indicate greater availability of resources. The Mojave desert tortoise (Gopherus agassizii) is a threatened species that is challenged by anthropogenic disturbances.MethodsWe studied tortoise movements using Global Positioning System (GPS) loggers at multiple sites in the Mojave Desert of Nevada and California. Tortoises at our sites encountered localized, linear human infrastructure, including paved roads, dirt roads, and fences, as well as landscape-scale disturbances [wildfire, off highway vehicle use (OHV), livestock grazing area]. We fit two-state (moving and encamped) Hidden Markov models to GPS logger data to infer how tortoise movement behavior relates to anthropogenic and natural features.ResultsWe found that temporal covariates, individual-level random effects (intercepts), and sex best explained state transition probability in all sites. We compared relationships between tortoise movement and linear disturbances, which varied depending on site and context. Tortoises made longer movements within the OHV recreation area, near most dirt roads, and near a low-traffic paved road, indicating that tortoises avoid these habitat disturbances. Conversely, tortoises made shorter movements in areas of higher slope and near highways, suggesting that these features may restrict movement or provide resources that result in prolonged use (e.g., forage or drinking locations). Tortoises that encountered fences around utility-scale solar installations were more active and made longer movements near fences, indicative of pacing behavior.DiscussionThese results provide insight into how different disturbances alter tortoise movement behavior and modify tortoise habitat use, providing information that can be used to manage tortoise habitat.
Race/ethnicity-stratified fine-mapping of the MHC locus reveals genetic variants associated with late-onset asthma
Authors: Lee Eunice Y. , Choi Wonson , Burkholder Adam B. , Perera Lalith , Mack Jasmine A. , Miller Frederick W. , Fessler Michael B. , Cook Donald N. , Karmaus Peer W. F. , Nakano Hideki , Garantziotis Stavros , Madenspacher Jennifer H. , House John S. , Akhtari Farida S. , Schmitt Charles S. , Fargo David C. , Hall Janet E. , Motsinger-Reif Alison A. 
Published: June 2023

Introduction: Asthma is a chronic disease of the airways that impairs normal breathing. The etiology of asthma is complex and involves multiple factors, including the environment and genetics, especially the distinct genetic architecture associated with ancestry. Compared to early-onset asthma, little is known about genetic predisposition to late-onset asthma. We investigated the race/ethnicity-specific relationship among genetic variants within the major histocompatibility complex (MHC) region and late-onset asthma in a North Carolina-based multiracial cohort of adults.Methods: We stratified all analyses by self-reported race (i.e., White and Black) and adjusted all regression models for age, sex, and ancestry. We conducted association tests within the MHC region and performed fine-mapping analyses conditioned on the race/ethnicity-specific lead variant using whole-genome sequencing (WGS) data. We applied computational methods to infer human leukocyte antigen (HLA) alleles and residues at amino acid positions. We replicated findings in the UK Biobank.Results: The lead signals, rs9265901 on the 5’ end of HLA-B, rs55888430 on HLA-DOB, and rs117953947 on HCG17, were significantly associated with late-onset asthma in all, White, and Black participants, respectively (OR = 1.73, 95%CI: 1.31 to 2.14, p = 3.62 × 10−5; OR = 3.05, 95%CI: 1.86 to 4.98, p = 8.85 × 10−6; OR = 19.5, 95%CI: 4.37 to 87.2, p = 9.97 × 10−5, respectively). For the HLA analysis, HLA-B*40:02 and HLA-DRB1*04:05, HLA-B*40:02, HLA-C*04:01, and HLA-DRB1*04:05, and HLA-DRB1*03:01 and HLA-DQB1 were significantly associated with late-onset asthma in all, White, and Black participants.Conclusion: Multiple genetic variants within the MHC region were significantly associated with late-onset asthma, and the associations were significantly different by race/ethnicity group.
In Campylobacter jejuni, a new type of chaperone receives heme from ferrochelatase
Authors: Zamarreño Beas Jordi , Videira Marco A. M. , Karavaeva Val , Lourenço Frederico M. , Almeida Mafalda R. , Sousa Filipa , Saraiva Lígia M. 
Published: June 2023

Intracellular heme formation and trafficking are fundamental processes in living organisms. Bacteria and archaea utilize three biogenesis pathways to produce iron protoporphyrin IX (heme b) that diverge after the formation of the common intermediate uroporphyrinogen III (uro’gen III). In this study, we identify and provide a detailed characterization of the enzymes involved in the transformation of uro’gen III into heme in Campylobacter jejuni, demonstrating that this bacterium utilizes the protoporphyrin-dependent (PPD) pathway. In general, limited knowledge exists regarding the mechanisms by which heme b reaches its target proteins after this final step. Specifically, the chaperones necessary for trafficking heme to prevent the cytotoxic effects associated with free heme remain largely unidentified. In C. jejuni, we identified a protein named CgdH2 that binds heme with a dissociation constant of 4.9 ± 1.0 µM, and this binding is impaired upon mutation of residues histidine 45 and 133. We demonstrate that C. jejuni CgdH2 establishes protein–protein interactions with ferrochelatase, suggesting its role in facilitating heme transfer from ferrochelatase to CgdH2. Furthermore, phylogenetic analysis reveals that C. jejuni CgdH2 is evolutionarily distinct from the currently known chaperones. Therefore, CgdH2 is the first protein identified as an acceptor of intracellularly formed heme, expanding our knowledge of the mechanisms underlying heme trafficking within bacterial cells.
The genetic associations of COVID-19 on genitourinary symptoms
Authors: Chang Zhenglin , An Lingyue , Lei Min , Song Zhenfeng , Deng Jian , Tang Ruizheng , Cheng Zhangkai J. , Wu Wenqi , Sun Baoqing 
Published: June 2023

BackgroundRecently emerged reports indicated that patients with coronavirus disease 2019 (COVID-19) might experience novo genitourinary symptoms after discharge. Nevertheless, the causal associations and underlying mechanisms remain largely unclear.MethodsGenome-wide association study (GWAS) statistics for COVID-19 and 28 genitourinary symptoms with consistent definitions were collected from the COVID‐19 Host Genetic Initiative, FinnGen, and UK Biobanks. Mendelian randomization (MR) analyses were applied to explore the causal effects of COVID-19 on genitourinary symptoms by selecting single-nucleotide polymorphisms as instrumental variables. Meta-analyses were conducted to evaluate the combined causal effect. Molecular pathways connecting COVID-19 and its associated disorders were evaluated by weighted gene co-expression network analysis (WGCNA) and enrichment analyses to extract insights into the potential mechanisms underlying the connection.ResultsThe MR and meta-analyses indicated that COVID-19 was causally associated with increased risk for calculus of the lower urinary tract (LUTC, OR: 1.2984 per doubling in odds of COVID‐19, 95% CI: 1.0752–1.5680, p = 0.007) and sexual dysfunction (SD, OR: 1.0931, 95% CI: 1.0292–1.1610, p = 0.004). Intriguingly, COVID-19 might exert a slight causal protective effect on the progression of urinary tract infections (UTIs) and bladder cancer (BLCA). These results were robust to sensitivity analyses. Bioinformatic analyses indicated that the inflammatory-immune response module may mediate the links between COVID‐19 and its associated disorders at the molecular level.ConclusionsIn response to post-COVID-19 symptoms, we recommend that COVID-19 patients should strengthen the prevention of LUTC and the monitoring of sexual function. Meanwhile, the positive effects of COVID-19 on UTIs and BLCA should attach equal importance.