bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisa Sebaran Oksigen Terlarut Dan Korelasinya Dengan Suhu Permukaan Laut Menggunakan Citra Landsat-8 (Studi Kasus: Wilayah Pesisir Kota Tuban)
Authors: Yekty Mahrio Iksa , Zainab Siti 
Published: June 2024

Daerah yang termasuk kedalam bidang kelautan dan kelautan adalah daerah Tuban. Daerah Tuban sendiri memiliki 6,5 km garis pantai dan 22.068 km² luas laut. Misalnya, di daerah Kutorejo di pesisir Tuban, banyak warga sekitar yang memandang pantai sebagai sumber kehidupan utama mereka dalam hal pariwisata, perikanan, dan industri lainnya.Teknologi yang digunakan yakni pengindraan jarak jauh.. Instrumen satelit juga dapat digunakan dalam penginderaan jauh. Penelitian ini bertujuan untuk menganalisa sebaran suhu permukaan laut dan konsentrasi oksigen terlarut di wilayah pesisir Kabupaten Tuban. Hasil analisa menunjukkan bahwa nilai data insitu untuk suhu permukaan laut sebesar 30,50° - 33,70° C dan untuk oksigen terlarut sebesar 1,26 – 6,20 mg/L. Sedangkan untuk data citra dengan korelasi tertinggi untuk suhu permukaan laut menunjukkan bahwa nilai untuk data citranya sebesar 31,00° – 31,11° C dan untuk oksigen terlarut sebesar 10,86 – 11,49 mg/L. Kedua data insitu tersebut memiliki korelasi positif yang cukup rendah.
Perbandingan Total Suspended Solid (TSS) Di Muara Kali Porong Sidoarjo Menggunakan Data Citra Satelit
Authors: Syahputra Angga Surya , Wibisana Hendrata 
Published: June 2024

Kali Porong digunakan sebagai tempat saluran pembuangan lumpur Lapindo untuk mencegah kerusakan tanggul penahan lumpur. Pembuangan lumpur Lapindo secara terus menerus menyebabkan sedimentasi di Kali Porong. Lumpur tersebut tidak banyak mengendap di sepanjang kali, tetapi mengendap di muara Kali Porong di Selat Madura karena adanya aliran lumpur Lapindo dan transport sedimen dari Kali Porong ke muara dan sepanjang pantai. Penelitian ini menyarankan penggunaan citra satelit Landsat 8 dengan algoritma H. Wibisana (2021) untuk menghitung kadar Total Suspended Solid (TSS). Hasil penelitian menunjukkan bahwa algoritma tersebut memiliki koefisien korelasi yang lebih baik pada tahun 2018 (49,72%) dan tahun 2019 (69,065%). Pada tahun 2020 dan 2022, algoritma Guzman-Santella (2009) memberikan hasil terbaik dengan koefisien korelasi masing-masing 84,297% dan 64,18%. Pada tahun 2023, algoritma Ety Parwati (2014) memiliki koefisien korelasi 79,18%. Penelitian ini dapat menjadi acuan untuk penelitian selanjutnya dan membantu memetakan sebaran TSS serta memonitoring perubahan TSS. Hal ini akan memberikan solusi yang tepat dalam pengambilan keputusan terkait dampak lingkungan dan pembangunan di sekitar daerah tersebut.
Audit Sistem Informasi Menggunakan Framework Cobit 5 Domain DSS Dan MEA pada PT. Clay Jaya Bersama
Authors: Saputri Ervina , Nisa Khoirun 
Published: June 2024

Abstrak - PT. Clay Jaya Bersama atau Bangun Indah Graha Magelang adalah salah satu perusahaan retail bahan bangunan di Magelang yang baru beroperasi selama 1 tahun. Sistem informasi yang digunakan PT. Clay Jaya Bersama adalah Accurate dan Rene. Namun pemanfaatan terhadap sistem informasi yang ada belum optimal, sehingga proses kerja menjadi kurang efisien. Belum pernah adanya evaluasi dan controlling terhadap sistem informasi yang ada. Belum juga memiliki divisi khusus yang bertanggung jawab atas sistem informasi yang ada. Maintenance dan troubleshooting terhadap jaringan komputer dilakukan oleh pegawai yang paham saja, yang belum tentu memiliki keahlian dan tidak bisa bertanggung jawab apabila terjadi kesalahan. Maka dari itu, perlu melakukan audit tata kelola dan sistem informasi yang berjalan saat ini pada PT. Clay Jaya Bersama. Adapun kerangka kerja yang digunakan dalam penelitian ini menggunakan kerangka kerja COBIT 5, dengan domain DSS (Deliver, Service, and Support) dan MEA (Monitor, Evaluate and Assess). Melakukan audit tata kelola dan sistem informasi dapat mengukur tingkat kematangan proses pada PT. Clay Jaya Bersama serta hasilnya dapat digunakan sebagai bahan pertimbangan dan perbaikan proses yang ada pada PT. Clay Jaya Bersama agar lebih baik.Kata Kunci : Audit Sistem Informasi, Tata Kelola TI, Cobit 5 Abstract - PT. Clay Jaya Bersama or Bangun Indah Graha Magelang is a building material retail company in Magelang that has only been operating for 1 year. The information system used by PT. Clay Jaya Bersama is Accurate and Rene. However, the utilization of the existing information system is not optimal, so that the work process becomes less efficient. There has never been an evaluation and control of the existing information system. Not yet have a special division that is responsible for the existing information system. Maintenance and troubleshooting of computer networks is carried out by employees who understand only, who do not necessarily have expertise and cannot be held responsible if something goes wrong. Therefore, the authors need to conduct an audit of governance and information systems that are currently running at PT. Clay Jaya Together. The framework used in this study uses the COBIT 5 framework, with DSS (Deliver, Service, and Support) and MEA (Monitor, Evaluate and Assess) domains. Conducting governance and information system audits can measure the level of process maturity at PT. Clay Jaya Bersama and the results can be used as material for consideration and improvement of existing processes at PT. Clay Jaya Bersama to make it better.Keywords: Information System Audit, IT Governance, Cobit 5
Penggunaan Metode Webqual 4.0 Untuk Analisa Kualitas Website Dinas Sosial Kota Bekasi
Authors: Putra Andi Asmara , Muryani Sri 
Published: June 2024

Dinas Sosial Kota Bekasi perlu memiliki sebuah website yang baik untuk melakukan penyampain sebuah informasi serta layanan yang dapat diakses oleh seluruh masyarakat yang termasuk dalam wilayah kerja Dinas Sosial Kota Bekasi. Melakukan sebuah evaluasi merupakan hal sangat diperlukan dalam peningkatan kualitas dari sebuah website. Tujuan dari penelitian ini adalah untuk mengukur persepsi pengguna ketika mengakses website Dinas Sosial Kota Bekasi. Hasil penelitian ini dapat memberikan rekomendasi sebagai bahan pertimbangan dalam pengembangan untuk peningkatan kualitas website. Pada penelitian ini sampel yang penulis gunakan sebanyak 280 responden dari total 935 populasi pada bulan Mei 2023 dalam menentukan jumlah sampel dihitung berdasarkan rumus slovin. Penelitian ini menggunakan metode webqual 4.0 adapun variabel yang independen terdiri dari 3 variabel yaitu usability, information quality, dan service interaction quality serta 1 variabel dependen yaitu user satisfaction. Dari perolehan uji F yang terdiri dari 3 variabel independen diperoleh hasil secara bersama-sama (secara simultan) memiliki pengaruh terhadap variabel dependen. Dari hasil uji T menunjukkan bahwa tiap-tiap (secara parsial) variabel independen juga berpengaruh terhadap variabel dependen. Berdasarkan perolehan dari hasil uji yang dilakukan pada penelitian ini sehingga diberikan rekomendasi dari 3 variabel independen dari webqual. Rekomendasi tersebut terdapat pada indikator X1.6 perbaikan pada tampilan desain, indikator X2.1 perbaikan pada situs website agar memberikan tingkat kedatailan infromasi yang tinggi, indikator X3.3 memberikan keyakinan pengguna agar memiliki rasa aman terhadap data pribadi yang diberikan pada saat mengakses website. Dengan rekomendasi tersebut di harapkan bisa menjadi bahan pertimbangan bagi pihak pengelola website Dinas Sosial Kota Bekasi
Diversity Through Precarity? Gender, Race, and Work in Digital Journalism
Authors: Cohen Nicole , Clarke Shannon 
Published: June 2024

Background: Women have increased opportunities to participate in digital journalism, but racial and gender disparities are still pervasive in the industry. Analysis: Using qualitative, semi-structured interviews, this research examines ongoing experiences of women working in digital journalism in Canada from an intersectional perspective that attends to race, gender, and class. Conclusions and implications: In the context of an industry undergoing continual change and transformation, women of colour occupy more precarious forms of employment and work on more tenuous terrain. Employment status and its attendant securities and insecurities are a vital analytic for understanding women’s gendered and racialized experiences in journalism.
A Bibliometric Lens on the Future: How AI continues to transform education institutions
Authors: Easouh Feda Yousef Jeries , Oweis Thelal Eqab , Makahleh Hanada Ahmad 
Published: June 2024

BACKGROUND: This extensive analysis examines the changing environment of AI in education using 1,480 Web of Science research publications. The goal is to map the academic landscape, highlight significant topics, and identify notable authors, nations, and documents to enable future study in this expanding subject. OBJECTIVE: The study seeks to explore AI’s influence on education and identify patterns and insights that might inform future research. METHODS: Bibliometric and content analytics are used to carefully extract data from the Web of Science Core Collection. To ensure completeness and relevance, 1,480 peer-reviewed papers from 2008 to 2023 were selected. RESULTS: The study identified six research clusters: AI Ethics and Innovation, Teaching Systems, Learning Experiences, Education Performance Enhancement via AI, Sustainable Development Goals in Education, and AI, Big Data, and Education. With the help of 107 universities, 310 keywords, and 160 authors from 37 different countries, these clusters are thriving islands in their respective fields. IMPLICATIONS: This study helps researchers, educators, and policymakers explore the literature and identify prospective research areas. It allows stakeholders to lead AI in education towards a more inclusive and enlightened future.
Eye Adult Changes in Thought (Eye ACT) Study: Design and Report on the Inaugural Cohort
Authors: Lee Cecilia S. ,   Eye ACT Study Group: Takahashi Missy Zhang Yi Jiang Yu Wu Yue Cooper Julie Pope Beth Blazes Marian Lee Aaron Y. Lee Michael L. Wang Ruikang Cronkite David Hess Chantelle Bowers Will Schaaf Beverly Gray Regan Guerrero Linda Sankaran Sundary Gatto Nicole, Ferguson Alina N. , Gibbons Laura E. , Walker Rod , Su Yu-Ru , Krakauer Chloe , Brush Michael , Kam Jason , Larson Eric B. , Arterburn David E. , Crane Paul K. 
Published: June 2024

Background: Conflicting research on retinal biomarkers of Alzheimer’s disease and related dementias (AD/ADRD) is likely related to limited sample sizes, study design, and protocol differences. Objective: The prospective Eye Adult Changes in Thought (Eye ACT) seeks to address these gaps. Methods: Eye ACT participants are recruited from ACT, an ongoing cohort of dementia-free, older adults followed biennially until AD/ADRD, and undergo visual function and retinal imaging assessment either in clinic or at home. Results: 330 participants were recruited as of 03/2023. Compared to ACT participants not in Eye ACT (N = 1868), Eye ACT participants (N = 330) are younger (mean age: 70.3 versus 71.2, p = 0.014), newer to ACT (median ACT visits since baseline: 3 versus 4, p < 0.001), have more years of education (17.7 versus 16.2, p < 0.001) and had lower rates of visual impairment (12% versus 22%, p < 0.001). Compared to those seen in clinic (N = 300), Eye ACT participants seen at home (N = 30) are older (77.2 versus 74.9, p = 0.015), more frequently female (60% versus 49%, p = 0.026), and have significantly worse visual acuity (71.1 versus 78.9 Early Treatment Diabetic Retinopathy Study letters, p < 0.001) and contrast sensitivity (–1.9 versus –2.1 mean log units at 3 cycles per degree, p = 0.002). Cognitive scores and retinal imaging measurements are similar between the two groups. Conclusions: Participants assessed at home had significantly worse visual function than those seen in clinic. By including these participants, Eye ACT provides a unique longitudinal cohort for evaluating potential retinal biomarkers of dementia.
Utilizing machine learning for early screening of thyroid nodules: a dual-center cross-sectional study in China
Authors: Weng Shuwei , Ding Chen , Hu Die , Chen Jin , Liu Yang , Liu Wenwu , Chen Yang , Guo Xin , Cao Chenghui , Yi Yuting , Yang Yanyi , Peng Daoquan 
Published: June 2024

BackgroundThyroid nodules, increasingly prevalent globally, pose a risk of malignant transformation. Early screening is crucial for management, yet current models focus mainly on ultrasound features. This study explores machine learning for screening using demographic and biochemical indicators.MethodsAnalyzing data from 6,102 individuals and 61 variables, we identified 17 key variables to construct models using six machine learning classifiers: Logistic Regression, SVM, Multilayer Perceptron, Random Forest, XGBoost, and LightGBM. Performance was evaluated by accuracy, precision, recall, F1 score, specificity, kappa statistic, and AUC, with internal and external validations assessing generalizability. Shapley values determined feature importance, and Decision Curve Analysis evaluated clinical benefits.ResultsRandom Forest showed the highest internal validation accuracy (78.3%) and AUC (89.1%). LightGBM demonstrated robust external validation performance. Key factors included age, gender, and urinary iodine levels, with significant clinical benefits at various thresholds. Clinical benefits were observed across various risk thresholds, particularly in ensemble models.ConclusionMachine learning, particularly ensemble methods, accurately predicts thyroid nodule presence using demographic and biochemical data. This cost-effective strategy offers valuable insights for thyroid health management, aiding in early detection and potentially improving clinical outcomes. These findings enhance our understanding of the key predictors of thyroid nodules and underscore the potential of machine learning in public health applications for early disease screening and prevention.
Pathogenic variants in human DNA damage repair genes mostly arose after the latest human out-of-Africa migration
Authors: He Jun , Kou Si Hoi , Li Jiaheng , Ding Xiaofan , Wang San Ming 
Published: June 2024

IntroductionThe DNA damage repair (DDR) system in human genome is pivotal in maintaining genomic integrity. Pathogenic variation (PV) in DDR genes impairs their function, leading to genome instability and increased susceptibility to diseases, especially cancer. Understanding the evolution origin and arising time of DDR PV is crucial for comprehending disease susceptibility in modern humans.MethodsWe used big data approach to identify the PVs in DDR genes in modern humans. We mined multiple genomic databases derived from 251,214 modern humans of African and non-Africans. We compared the DDR PVs between African and non-African. We also mined the DDR PVs in the genomic data derived from 5,031 ancient humans. We used the DDR PVs from ancient humans as the intermediate to further the DDR PVs between African and non-African.Results and discussionWe identified 1,060 single-base DDR PVs across 77 DDR genes in modern humans of African and non-African. Direct comparison of the DDR PVs between African and non-African showed that 82.1% of the non-African PVs were not present in African. We further identified 397 single-base DDR PVs in 56 DDR genes in the 5,031 ancient humans dated between 45,045 and 100 years before present (BP) lived in Eurasian continent therefore the descendants of the latest out-of-Africa human migrants occurred 50,000–60,000 years ago. By referring to the ancient DDR PVs, we observed that 276 of the 397 (70.3%) ancient DDR PVs were exclusive in non-African, 106 (26.7%) were shared between non-African and African, and only 15 (3.8%) were exclusive in African. We further validated the distribution pattern by testing the PVs in BRCA and TP53, two of the important genes in genome stability maintenance, in African, non-African, and Ancient humans. Our study revealed that DDR PVs in modern humans mostly emerged after the latest out-of-Africa migration. The data provides a foundation to understand the evolutionary basis of disease susceptibility, in particular cancer, in modern humans.
Identification and experimental validation of cuproptosis regulatory program in a sepsis immune microenvironment through a combination of single-cell and bulk RNA sequencing
Authors: Zhao Tingru , Guo Yan , Li Jin 
Published: June 2024

BackgroundIn spite of its high mortality rate and poor prognosis, the pathogenesis of sepsis is still incompletely understood. This study established a cuproptosis-based risk model to diagnose and predict the risk of sepsis. In addition, the cuproptosis-related genes were identified for targeted therapy.MethodsSingle-cell sequencing analyses were used to characterize the cuproptosis activity score (CuAS) and intercellular communications in sepsis. Differential cuproptosis-related genes (CRGs) were identified in conjunction with single-cell and bulk RNA sequencing. LASSO and Cox regression analyses were employed to develop a risk model. Three external cohorts were conducted to assess the model’s accuracy. Differences in immune infiltration, immune cell subtypes, pathway enrichment, and the expression of immunomodulators were further evaluated in distinct groups. Finally, various in-vitro experiments, such as flow cytometry, Western blot, and ELISA, were used to explore the role of LST1 in sepsis.ResultsScRNA-seq analysis demonstrated that CuAS was highly enriched in monocytes and was closely related to the poor prognosis of sepsis patients. Patients with higher CuAS exhibited prominent strength and numbers of cell–cell interactions. A total of five CRGs were identified based on the LASSO and Cox regression analyses, and a CRG-based risk model was established. The lower riskScore cohort exhibited enhanced immune cell infiltration, elevated immune scores, and increased expression of immune modulators, indicating the activation of an antibacterial response. Ultimately, in-vitro experiments demonstrated that LST1, a key gene in the risk model, was enhanced in the macrophage in response to LPS, which was closely related to the decrease of macrophage survival rate, the enhancement of apoptosis and oxidative stress injury, and the imbalance of the M1/M2 phenotype.ConclusionsThis study constructed a cuproptosis-related risk model to accurately predict the prognosis of sepsis. We further characterized the cuproptosis-related gene LST1 to provide a theoretical framework for sepsis therapy.
Preliminary evidence of high prevalence of cerebral microbleeds in astronauts with spaceflight experience
Authors: Burles Ford , Willson Morgan , Townes Parker , Yang Allison , Iaria Giuseppe 
Published: June 2024

Long-duration spaceflight poses a variety of health risks to astronauts, largely resulting from extended exposure to microgravity and radiation. Here, we assessed the prevalence and incidence of cerebral microbleeds in sixteen astronauts before and after a typical 6-month mission on board the International Space Station Cerebral microbleeds are microhemorrhages in the brain, which are typically interpreted as early evidence of small vessel disease and have been associated with cognitive impairment. We identified evidence of higher-than-expected microbleed prevalence in astronauts with prior spaceflight experience. However, we did not identify a statistically significant increase in microbleed burden up to 7 months after spaceflight. Altogether, these preliminary findings suggest that spaceflight exposure may increase microbleed burden, but this influence may be indirect or occur over time courses that exceed 1 year. For health monitoring purposes, it may be valuable to acquire neuroimaging data that are able to detect the occurrence of microbleeds in astronauts following their spaceflight missions.
Epidemiology and antimicrobial resistance of Mycobacterium spp. in the United Arab Emirates: a retrospective analysis of 12 years of national antimicrobial resistance surveillance data
Authors: Thomsen Jens , Abdulrazzaq Najiba M. , Nyasulu Peter S. , Al Hosani Farida , Habous Maya , Weber Stefan , Jabeen Fouzia ,   The UAE AMR Surveillance Consortium, Menezes Godfred Antony , Moubareck Carole Ayoub , Senok Abiola , Everett Dean B. 
Published: June 2024

IntroductionThe Eastern Mediterranean Regional Office (EMRO) region accounts for almost 8% of all global Mycobacterium tuberculosis (TB) cases, with TB incidence rates ranging from 1 per 100,000 per year in the United Arab Emirates (UAE) to 204 per 100,000 in Djibouti. The national surveillance data from the Middle East and North Africa (MENA) region on the epidemiology and antimicrobial resistance trends of TB, including MDR-TB remains scarce.MethodsA retrospective 12-year analysis of N = 8,086 non-duplicate diagnostic Mycobacterium tuberculosis complex (MTB complex) isolates from the UAE was conducted. Data were generated through routine patient care during the 2010–2021 years, collected by trained personnel and reported by participating surveillance sites to the UAE National Antimicrobial Resistance (AMR) Surveillance program. Data analysis was conducted with WHONET, a windows-based microbiology laboratory database management software developed by the World Health Organization Collaborating Center for Surveillance of Antimicrobial Resistance, Boston, United States (https://whonet.org/).ResultsA total of 8,086 MTB-complex isolates were analyzed. MTB-complex was primarily isolated from respiratory samples (sputum 80.1%, broncho-alveolar lavage 4.6%, pleural fluid 4.1%). Inpatients accounted for 63.2%, including 1.3% from ICU. Nationality was known for 84.3% of patients, including 3.8% Emiratis. Of UAE non-nationals, 80.5% were from 110 countries, most of which were Asian countries. India accounted for 20.8%, Pakistan 13.6%, Philippines 12.7%, and Bangladesh 7.8%. Rifampicin-resistant MTB-complex isolates (RR-TB) were found in 2.8% of the isolates, resistance to isoniazid, streptomycin, pyrazinamide, and ethambutol, was 8.9, 6.9, 3.4 and 0.4%, respectively. A slightly increasing trend of resistance among MTB-complex was observed for rifampicin from 2.5% (2010) to 2.8% (2021).ConclusionInfections due to MTB-complex are relatively uncommon in the United Arab Emirates compared to other countries in the MENA region. Most TB patients in the UAE are of Asian origin, mainly from countries with a high prevalence of TB. Resistance to first line anti-tuberculous drugs is generally low, however increasing trends for MDR-TB mainly rifampicin linked resistance is a major concern. MDR-TB was not associated with a higher mortality, admission to ICU, or increased length of hospitalization as compared to non-MDR-TB.
Four New Sudanonautes Species of Freshwater Crabs (Crustacea: Decapoda: Potamonautidae) from Cameroon, Central Africa
Authors: Mvogo Ndongo Pierre A. , Clark Paul F. , von Rintelen Thomas , Cumberlidge Neil 
Published: June 2024

Four new species of freshwater crab are described from material collected in northern and southwestern Cameroon and assigned to Sudanonautes Bott, 1955. Sudanonautes cameroonensis sp. n., S. eyimba sp. n., S. ngaoundere sp. n. and S. nkam sp. n., are distinguished by characters of the carapace, thoracic sternum, chelipeds, mandibles, adult male gonopods, and in addition by genetic analyses using the mitochondrial CO1 and 16S rRNA genes. Diagnoses, illustrations, and a phylogenetic tree based on mtDNA sequences are provided, as well as a discussion of the threats and conservation of all species.