bluuebunny/crossref_metadata_2025 huggingface dataset:
MỘT SỐ YẾU TỐ LIÊN QUAN ĐẾN KẾT QUẢ PHẪU THUẬT MÁU TỤ TRONG NÃO NGUYÊN PHÁT
Authors: Đỗ Thị Thu Hiền , Lê Thị Vân
Published: April 2023

Mục tiêu: Mô tả một số yếu tố liên quan đến kết quả phẫu thuật máu tụ trong não nguyên phát.  Phương pháp: Nghiên cứu mô tả cắt ngang. Kết quả: 61 bệnh nhân xuất huyết não được điều trị phẫu thuật tại bệnh viện Bạch Mai từ 1/8/2019 đến 30/6/2020. Tỷ lệ nam/nữ là 3:1; Đa số các bệnh nhân bị xuất huyết não có độ tuổi trung niên, đặc biệt từ 50 đến 69 tuổi. Số bệnh nhân có khối máu tụ lớn và trung bình chiếm đa số (95.1%), 65% số bệnh nhân có khối máu tụ chủ yếu là ở bán cầu não và não thất. 63,9% số bệnh nhân được phẫu thuật bằng phương pháp mở sọ lấy máu tụ, 3.3% dẫn lưu não thất đơn thuần và 32,8% bệnh nhân được dẫn lưu não thất kết hợp lấy máu tụ. Sau phẫu thuật, số bệnh nhân tiến triển tốt và chậm lần lượt là 23% và 77%, không có bệnh nhân tử vong. Điểm Glassgow lúc vào viện, vị trí khối máu tụ, mức độ đè đẩy đường giữa có liên quan đến kết quả phẫu thuật máu tụ trong não nguyên phát(p<0,05). Kết luận: Tỷ lệ bệnh nhân có kết quả tốt sau phẫu thuật còn nhỏ. Điểm Glassgow lúc vào viện, vị trí khối máu tụ, mức độ đè đẩy đường giữa có liên quan đến kết quả phẫu thuật máu tụ trong não nguyên phát
HIỆU CHỈNH LIỀU VANCOMYCIN THÔNG QUA GIÁM SÁT NỒNG ĐỘ THUỐC VỚI ĐÍCH AUC DỰA TRÊN ƯỚC ĐOÁN BAYESIAN Ở BỆNH NHÂN HỒI SỨC NGOẠI KHOA, BỆNH VIỆN HỮU NGHỊ VIỆT ĐỨC
Authors: Lê Thị Minh Hằng , Nguyễn Hoàng Oanh (B) , Nguyễn Thị Cúc , Nguyễn Thị Hồng Hảo , Nguyễn Thanh Hiền , Đàm Mai Hương , Trịnh Xuân Khánh , Vũ Đình Hòa , Nguyễn Hoàng Anh , Lưu Quang Thùy
Published: April 2023

Mục tiêu: Phân tích kết quả triển khai hiệu chỉnh liều vancomycin dựa trên giá trị AUC ước đoán bằng phương pháp Bayes theo quy trình TDM vancomycin áp dụng trên bệnh nhân Hồi sức ngoại khoa. Phương pháp nghiên cứu: Nghiên cứu tiến cứu, thông qua hoạt động chuyên môn phối hợp giữa Dược sĩ lâm sàng, Bác sĩ điều trị và các điều dưỡng tại Khoa Hồi sức tích cực 2, Trung tâm Hồi sức Ngoại khoa, Bệnh viện Hữu nghị Việt Đức từ tháng 12/2021- 06/2022. Thông tin của bệnh nhân và các thông số liên quan được thu thập hàng ngày. Dựa trên kết quả định lượng nồng độ thuốc vancomycin trong máu của bệnh nhân, giá trị AUC được ước đoán theo phương pháp Bayes trên phần mềm SmartdoseAI. Mức liều vancomycin được hiệu chỉnh nhằm đạt đích AUC 400-600mg.h/L. Kết quả nghiên cứu: Khi sử dụng chế độ liều duy trì ban đầu đúng với khuyến cáo (60,3%), chỉ có 36,9% bệnh nhân có giá trị AUC nằm trong khoảng 400-600 mg.h/L. Sau khi hiệu chỉnh liều, tỷ lệ bệnh nhân đạt đích PK/PD đã tăng lên 62,5%. Khả năng ước đoán giá trị AUC khi sử dụng mô hình dược động học ban đầu là tương đối thấp (độ lệch 43,48%) nhưng đã được cải thiện đáng để khi áp dụng ước đoán Bayes dựa trên dữ liệu nồng độ thuốc trong máu (độ lệch 7,5%). Kết luận: Triển khai TDM vancomycin giúp nâng cao khả năng đạt đích AUC. Phương pháp Bayes có khả năng ước đoán giá trị AUC tương đối chính xác, mang lại nhiều thuận tiện và phù hợp với thực hành lâm sàng trên bệnh nhân hồi sức Ngoại khoa.
ỨNG DỤNG NÚT MẠCH HOÁ CHẤT UNG THƯ BIỂU MÔ TẾ BÀO GAN BẰNG VI ỐNG THÔNG ĐẦU GẮN BÓNG NHÂN CA LÂM SÀNG ĐẦU TIÊN TẠI VIỆT NAM VÀ TỔNG QUAN TÀI LIỆU
Authors: Nguyễn Thái Bình , Phạm Sơn Nam , Nguyễn Văn Quế
Published: April 2023

Nút mạch hóa chất ung thư tế bào gan qua đường động mạch bằng vi ống thông đầu gắn bóng là một kỹ thuật gần đây được nhắc đến nhiều trong các báo cáo của các tác giả Nhật Bản gần đây. Tuy nút mạch hóa chất sử dụng ống thông có bóng đã được đề cập từ lâu nhưng kỹ thuật này mới trở lên phổ biến nhờ các cải tiến về vi ống thông. Tại Bệnh viện Đại học y Hà Nội, chúng tôi đã thực hiện thành công ca nút mạch hóa chất u gan đầu tiên ở Việt Nam sử dụng vi ống thông có gắn bóng. Nhân ca lâm sàng sử dụng phương pháp này, chúng tôi trình bày những quan sát và kết quả thu được trong quá trình thực hiện kỹ thuật đồng thời tổng kết các kiến thức được đề cập đến trong y văn liên quan đến phương pháp nút mạch hóa chất u gan sử dụng vi ống thông có bóng.
SO SÁNH HIỆU QUẢ LẤY HUYẾT KHỐI Ở ĐỘNG MẠCH THÂN NỀN VÀ ĐỘNG MẠCH LỚN THUỘC TUẦN HOÀN NÃO TRƯỚC
Authors: Đỗ Đức Thuần , Phạm Ngọc Thảo , Đặng Phúc Đức
Published: April 2023

Mục tiêu: nghiên cứu lâm sàng và kết quả lấy huyết khối cơ học cho tắc động mạch thân nền (BAO) so với tắc động mạch lớn thuộc tuần hoàn não trước (ACLVO): Đối tượng và phương pháp: nghiên cứu tiến cứu, mô tả cắt ngang, có so sánh 37 bệnh nhân BAO và 198 bệnh nhân tắc động mạch lớn thuộc tuần hoàn não trước, từ tháng 8 năm 2019 đến tháng 9 năm 2022. Kết quả: nhóm BAO có  NIHSS 19 ± 9,43, thời gian từ lúc khởi phát đến khi được chọc động mạch đùi là 316 ± 38 phút, tỷ lệ tái thông TICI 2b-3 là 83,78%, mRS (0-3) sau 3 tháng là 35,13%.  Nhóm ACLVO có số liệu tương ưng là: 14,57 ± 6,11 điểm, 261 ± 49 phút, 88,89% và mRS (0-3) sau 3 tháng là 58,58%. Kết luận: Lấy huyết khối BAO cho tỷ lệ tái thông như ACLVO, nhưng kết quả hồi phục kém hơn do thời gian được can thiệp muộn hơn và lâm sàng nặng hơn.
SỰ HÀI LÒNG CỦA NGƯỜI BỆNH MẮC COVID-19 TẠI BỆNH VIỆN DÃ CHIẾN - ĐẠI HỌC KỸ THUẬT Y TẾ HẢI DƯƠNG
Authors: Đàm Thị Thùy , Nguyễn Thị Huyền , Bùi Thị Hậu
Published: April 2023

Nghiên cứu nhằm mô tả sự hài lòng và một số yếu tố liên quan của người bệnh mắc Covid-19 tại Bệnh viện dã chiến – Đại học Kỹ thuật Y tế Hải Dương. Nghiên cứu mô tả cắt ngang trên 206 người bệnh được chẩn đoán Covid-19 điều trị tại Bệnh viện dã chiến – Đại học Kỹ thuật Y tế Hải Dương từ tháng 2 đến tháng 3 năm 2021. Sự hài lòng của người bệnh được đo lường bằng bộ câu hỏi khảo sát sự hài lòng của người bệnh nội trú chung do Bộ Y tế ban hành và được chỉnh sửa cho phù hợp. Kết quả nghiên cứu cho thấy, tỷ lệ hài lòng chung của người bệnh mắc Covid-19 điều trị nội trú là 92,7%. Trong đó, tỷ lệ hài lòng về giao tiếp và tương tác với nhân viên y tế là cao nhất (98,1%); tiếp theo là khả năng tiếp cận ban đầu (94,2%); kết quả cung cấp dịch vụ (93,7%); cơ sở vật chất và phương tiện phục vụ người bệnh (92,7%); dinh dưỡng trong quá trình điều trị (90,8%); sự minh bạch thông tin và thủ tục khám bệnh, điều trị (86,9%). Tuổi (OR: 1,9; 95% CI: 1,46-2,46) và triệu chứng lâm sàng của Covid-19 (OR: 0,43; 95% CI: 0,06-0,29) có mối liên quan có ý nghĩa thống kê với sự hài lòng của người bệnh p < 0,05.
ĐÁNH GIÁ TÁC DỤNG KHÔNG MONG MUỐN CỦA PHƯƠNG PHÁP PHONG BẾ THẦN KINH HIỀN TRONG ỐNG CƠ KHÉP PHỐI HỢP VỚI TÊ THẤM GIỮA ĐỘNG MẠCH KHOEO VÀ BAO KHƠP GỐI BẰNG ANAROPIN 0,2% GIẢM ĐAU SAU PHẪU THUẬT NỘI SOI KHỚP GỐI
Authors: Lưu Quang Thùy , Trịnh Thu Huyền , Vũ Hoàng Phương
Published: April 2023

Mục tiêu: Đánh giá một số tác dụng không mong muốn của phương pháp phong bế ống cơ khép phối hợp với IPACK với phong bế ống cơ khép đơn thuần trong giảm đau sau mổ nội soi khớp gối. Phương pháp nghiên cứu: Nghiên cứu can thiệp lâm sàng, ngẫu nhiên và có đối chứng; 60 bệnh nhân phẫu thuật nội soi khớp gối được chia thành bằng bốc thăm ngẫu nhiên: Nhóm OCK: BN được giảm đau sau mổ bằng phong bế ống cơ khép đơn thuần; Nhóm IPACK: bệnh nhân được giảm đau bằng phong bế ống cơ khép phối hợp với IPACK. Theo dõi bệnh nhân trong vòng 48 giờ sau mổ, số liệu được mã hoá và xử lý theo các phương pháp thống kê. Kết quả nghiên cứu: Tất cả các bệnh nhân trong nghiên cứu của chúng tôi đều có điểm Bromage là 0-1, không có bệnh nhân nào có điểm 2 hoặc 3. Nhóm OCK là 0,07 ± 0,25, nhóm IPACK là 0,06± 0,25. Nhóm OCK có tỷ lệ nôn và buồn nôn cao hơn so với nhóm IPACK (6,7% so với 3,3%). Không có bệnh nào gặp phải các biến chứng như chọc vào mạch máu, tổn thương thần kinh hay sưng nề vùng chọc, tụ máu dưới da, không có bệnh nhân nào ngộ độc thuốc tê. Kết luận: Phương pháp phong bế ống cơ khép phối hợp với IPACK trong giảm đau sau mổ nội soi khớp gối là một phương pháp an toàn, ít tác dụng không mong muốn
Nilai Pembelajaran dalam Motif Batik
Authors: Sudardi Bani
Published: April 2023

Batik motif is a form of design included in the study of fine arts. Batik motifs are inspired from various things around us, such as natural events, family and social events, and literary works, either written or oral literary works. Javanese batik is closely related to the stories of the chronicle of the royal family. Batik motifs are closely related to the literary works that exist in the society as the owner of the motive. In Jambi, for example, batik motifs sanggat ship is a very famous. This motif was inspired by the existence of a ship that failed (sanggat). The educational values inspired from this motif is that in life one must be careful in determining the direction of life in order not to run aground. Chinese Lasem community has a motif called the Hong bird motif. The appearance of the motive was inspired by the myth of the Hong bird in the Chinese tradition which is a lucky bird. The Hong Bird is the king of bird and its element of fire is strongest among all beings. This bird is a symbol of immortality because of its ability to live after death. There are four animals in important Chinese mythology: dragons, turtles, kilns, and Hong birds. Among them Hong bird and dragon are frequently appear in batik motifs. The education value of these Chinese motif is the God blessing in the creatures. The study shows that artworks, literature and batik motifs, are interrelated each other. The education values emerged from this batik motif is valuable for people’s life.
A COMPARATIVE OF CONSTRUCTION MANAGEMENT EDUCATION IN CIVIL ENGINEERING PROGRAMS (TÜRKİYE AND TRNC SAMPLE)
Authors: ABUGELAL Saıf Alaa Raheem , ÇAĞLAR Hakan
Published: April 2023

Construction management is a long and complex process that covers from the planning stage of the building to be constructed to the completion and the end of demolition process. Managing this process is efficient and useful with experts in the field. In this study, the aim is to assess the current status of construction management education provided at undergraduate civil engineering programs in Türkiye and the Turkish Republic of Northern Cyprus (TRNC), to analyze the course contents and to compare the course and course contents in the two countries. For this purpose, the undergraduate civil engineering programs of all universities (state and foundation universities) in Türkiye and TRNC were included in the scope of the study. As a result, as of September 2022, 117 universities in Türkiye have civil engineering programs, 61 of which provide construction management and related courses. It has been concluded that there are civil engineering programs in 9 universities in TRNC and 7 of these universities provide construction management and related courses. When the course contents were analyzed, it has been determined that there is approximately 80% similarity and that the majority of them name the course as construction management. In addition, project management and construction management are among the frequently used course titles. Construction management and related courses should be included in the curriculum not only in civil engineering but also in departments such as architecture, business administration, etc. Furthermore, not only in undergraduate education but also in postgraduate education, the courses should be put into practice in more detail and with the aim of specialization.
Ecosystem-specific patterns and drivers of global reactive iron mineral-associated organic carbon
Authors: Zhao Bo , Dou Amin , Zhang Zhiwei , Chen Zhenyu , Sun Wenbo , Feng Yanli , Wang Xiaojuan , Wang Qiang
Published: April 2023

Abstract. Reactive iron (Fe) oxides are vital for long-term soil/sediment organic carbon (SOC) storage. However, the patterns and drivers of Fe‐associated organic carbon (Fe-OC) over global geographic scales under various ecosystem types remain largely controversial. Here, we provided for the first time a systematic assessment of the distribution patterns and determinants of Fe-OC content and its contribution (ƒFe-OC) by assembling a global dataset comprising 862 observations from 325 sites in distinct ecosystems. We found that Fe-OC content across global ecosystems ranged from 0 to 83.3 g/kg (ƒFe-OC ranged from 0 to 82.4 %), reflecting the high variability of the Fe-OC pool. Fe-OC contents varied with ecosystem type, being greater in wetlands with a high molar ratio of Fe-OC/dithionite-extractable Fe (Fed) compared with marine and continental ecosystems. Furthermore, ƒFe-OC in wetlands was significantly lower than that in other ecosystems due to rich OC. In contrast with climate variables and soil pH, the random forest modelling and multivariate analysis showed that the Fe-OC:Fed and SOC were the predominant predictors of Fe-OC content and ƒFe-OC in wetlands and continents, whereas Fed content was a primary driver in marine ecosystems. Based on upper estimates of global SOC storage in various ecosystem types, we further estimated that 83.84 ± 3.86 Pg, 172.45 ± 8.74 Pg, and 24.48 ± 0.87 Pg of SOC were preserved by association with Fe oxides in wetlands, continental and marine ecosystems, respectively. Taken together, our findings highlighted the importance of reactive Fe oxides in global SOC preservation, and their controlling factors were ecosystem-specific.
Physicochemical characterization of free troposphere and marine boundary layer ice-nucleating particles collected by aircraft in the eastern North Atlantic
Authors: Knopf Daniel Alexander , Wang Peiwen , Wong Benny , Tomlin Jay M. , Veghte Daniel P. , Lata Nurun N. , China Swarup , Laskin Alexander , Moffet Ryan C. , Aller Josephine Y. , Marcus Matthew A. , Wang Jian
Published: April 2023

Abstract. Atmospheric ice nucleation impacts the hydrological cycle and climate by modifying the radiative properties of clouds. To improve our predictive understanding of ice formation, ambient ice-nucleating particles (INPs) need to be collected and characterized. Measurements of INPs at lower latitudes in a remote marine region are scarce. The Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign, in the region of the Azores Islands, provided the opportunity to collect particles in the marine boundary layer (MBL) and free troposphere (FT) by aircraft during the campaign’s summer and winter intensive operation period (IOP). The particle population in samples collected was examined by scanning transmission X-ray microscopy with near-edge X-ray absorption fine structure spectroscopy. The identified INPs were analyzed by scanning electron microscopy with energy-dispersive X-ray analysis. We observed differences in the particle population characteristics in terms of particle diversity, mixing state, and organic volume fraction between seasons, mostly due to dry intrusion events during winter, and between the sampling locations of the MBL and FT. These differences are also reflected in the temperature and humidity conditions under which water uptake, immersion freezing (IMF), and deposition ice nucleation (DIN) proceed. Identified INPs reflect typical particle types within the particle population on the samples and include sea salt, sea salt with sulfates, and mineral dust, all associated with organic matter, and carbonaceous particles. IMF and DIN kinetics are analyzed with respect to heterogeneous ice nucleation rate coefficients, Jhet, and ice nucleation active site density, ns, as a function of the water criterion ∆αw. DIN is also analyzed in terms of contact angles following classical nucleation theory. Derived MBL IMF kinetics agree with previous ACE-ENA ground site INP measurements. FT particle samples show greater ice nucleation propensity compared to MBL particle samples. This study emphasizes that the types of INPs can vary seasonally and with altitude depending on sampling location, thereby showing different ice nucleation propensities, crucial information when representing mixed-phase cloud and cirrus cloud microphysics in models.
Cobalt distribution in the Boleo stratiform sediment-hosted ore deposit: a transtension rift basin in the central Baja California peninsula, Mexico
Authors: Salgado Munoz Valente Octavio , Niemi Tina Marie , Murowchick James B. , Troia Alyssa , Maher Anna Turi , Jaime-Geraldo Aldo Javier
Published: April 2023

Abstract. The Miocene Santa Rosalia Basin, located in Baja California, Mexico, is a unique basin that contains the Boleo copper deposit. This basin provides a remarkable opportunity to study the early stages of tectonic evolution, volcanic activity, ore genesis, and sedimentary deposition in the incipient Gulf of California. Previous research suggested the presence of Co in areas between Cu and Zn, but the factors responsible for cobalt distribution in the basin remained unclear. This study utilized multiple methods, including historical geologic maps, core drilling, field measurements, XRF readings, petrographic analysis, and mineral composition analysis, to comprehend the Co mineralization of the Boleo Formation. Our research found Co anomalies in five localities, with the highest values situated at the base of a slump block in manto 3 near the Neptuno mine. The presence of elevated cobalt readings in areas with uplifted and eroded gypsum suggests the possibility of uplift and dissolution of earlier gypsum deposits, and an association with brine waters. Moreover, the result of the study indicates that gypsum interfingers with both the clastic facies and ore mineralization in mantos 1, 2, and 3, signifying a north-to-south expansion of the basin. The study also identified manganese oxides and Cu-Fe sulfides, including villamaninite, along laminated gypsum beds. The findings of this study suggest that cobalt enrichment is influenced by structural factors and occurs near subsurface evaporitic deposits. This supports the notion that cobalt mineralization forms near the redox front and through sulfate reduction processes. The study's findings offer valuable insights for further exploration and understanding of cobalt mineralization in similar geological settings.
Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations
Authors: Mayer Stephanie Isabelle , Techel Frank , Schweizer Jürg , van Herwijnen Alec
Published: April 2023

Abstract. Accurately predicting the location, timing and size of natural snow avalanches is crucial for local and regional decision-makers, but remains one of the major challenges in avalanche forecasting. So far, forecasts are generally made by human experts, interpreting a variety of data, and drawing on their knowledge and experience. Using avalanche data from the Swiss Alps and one-dimensional physics-based snowpack simulations, we developed a model predicting the probability of dry-snow avalanches occurring in the vicinity of automated weather stations based on the output of a recently developed instability model. This new avalanche day predictor was compared to benchmark models related to the amount of new snow. Evaluation on an independent data set demonstrated the importance of snow stratigraphy for natural avalanche release, as the avalanche day predictor outperformed the benchmark model based on the three-day sum of new snow (F1 scores: 0.71 and 0.65, respectively). The averaged predictions of both models resulted in the best performance (F1 score: 0.75). In a second step, we derived functions describing the probability for certain avalanche size classes. Using the 24-hour new snow height as proxy of avalanche failure depth yielded the best estimator of typical (median) observed avalanche size, while the depth of the deepest weak layer, detected using the instability model, provided the better indicator regarding the largest observed avalanche size. Validation of the avalanche size estimator on an independent data set of avalanche observations confirmed these findings. Furthermore, comparing the predictions of the avalanche day predictors and avalanche size estimators with a 21-year data set of re-analysed regional avalanche danger levels showed increasing probabilities for natural avalanches and increasing avalanche size with increasing danger level. We conclude that these models may be valuable tools to support forecasting the occurrence of natural dry-snow avalanches.
Acoustic levitation of pollen and visualisation of hygroscopic behaviour
Authors: Mills Sophie A. , Milsom Adam , Pfrang Christian , MacKenzie A. Rob , Pope Francis D.
Published: April 2023

Abstract. Pollen are hygroscopic and so have the potential to act as cloud condensation nuclei (CCN) in the atmosphere. This could have yet uncertain implications for cloud processes and climate. Previous studies have investigated the hygroscopic swelling of pollen, linked to CCN activity by the κ-Köhler theory, using methods that follow observed mass increase by electrodynamic balance (EDB) or vapour sorption analyser. This study uses an acoustic levitator to levitate pollen grains in the true aerosol phase and uses a macroscope to image the pollen to investigate hygroscopic behaviour when relative humidity (RH) is changed. Two pollen species were studied in this work: Lilium orientalis (oriental lily) and Populus deltoides (eastern cottonwood). Both species were successfully levitated, however, the smaller Populus deltoides showed greater instability throughout experiments. The quality of images taken by the macroscope, and thus calculations of pollen area and diameter ratio, varied significantly and were sensitive to lighting conditions, as well as levitated pollen grain movement and orientation. Experiments with surface-fixed pollen grains were also conducted. They showed evidence that pollen hygroscopic swelling could be observed by the macroscope. The produced results were comparable with previously reported mass increase values. Although less accurate than methods that measure mass changes, the acoustic levitator and macroscope setup offer an attractive alternative by virtue of being commercial-off-the-shelf, low-cost, and versatile. A key advantage of this method is that it is possible to visually observe particle shape dynamics under varying environmental conditions.
Joint 1DVar Retrievals of Tropospheric Temperature and Water Vapor from GNSS-RO and Microwave Radiometer Observations
Authors: Wang Kuo-Nung , Ao Chi O. , Morris Mary G. , Hajj George A. , Kurowski Marcin J. , Turk Francis J. , Moore Angelyn W.
Published: April 2023

Abstract. Global Navigation Satellite System – Radio Occultation (GNSS-RO) and Microwave Radiometry (MWR) are two of the most impactful spaceborne remote sensing techniques for numerical weather prediction (NWP). These two techniques provide complementary information about atmospheric temperature and water vapor structure. GNSS-RO provides high vertical resolution measurements with cloud penetration capability, but the temperature and moisture are coupled in the GNSS-RO retrieval process and their separation requires the use of a-priori information or auxiliary observations. On the other hand, the MWR measures brightness temperature (Tb) in numerous frequency bands related to the temperature and water vapor structure, but is limited by poor vertical resolution (>2 km) and precipitation. In this study we combine these two technologies in an optimal estimation approach, 1D Variation method (1DVar), to better characterize the complex thermodynamic structures in the lower troposphere. This study employs both simulated and operational observations. GNSS-RO bending angle and MWR Tb observations are used as inputs to the joint retrieval, where bending can be modeled by an Abel integral and Tb can be modeled by a Radiative Transfer Model (RTM) that takes into account atmospheric absorption, and surface reflection and emission. By incorporating the forward operators into the 1DVar method, the strength of both techniques can be combined to bridge individual weaknesses. Applying 1DVar to the data simulated from Large Eddy Simulation (LES) is shown to reduce GNSS-RO temperature and water vapor retrieval biases at lower troposphere, while simultaneously capturing the fine-scale variability that MWR cannot resolve. A sensitivity analysis is also conducted to quantify the impact of the a-priori information and error covariance used in different retrieval scenarios. The applicability of 1DVar joint retrieval to the actual GNSS-RO and MWR observations is also demonstrated through combining collocated COSMIC-2 and Suomi-NPP measurements.
Measurements of Nearshore Waves through Coherent Arrays of Free-Drifting Wave Buoys
Authors: Rainville Edwin John , Thomson Jim , Moulton Melissa , Derakhti Morteza
Published: April 2023

Abstract. Along coastlines, surface gravity wave breaking occurs in complex spatial and temporal patterns that significantly impact erosion, scalar transport, and flooding. Numerical models are used to predict these processes, but many models lack sufficient evaluation with observations during storm events. To fill the need for more nearshore wave measurements during extreme conditions, we deployed coherent arrays of small-scale, free-drifting wave buoys named microSWIFTs. The result is a large dataset covering a range of conditions. The microSWIFT is a small wave buoy equipped with a GPS module and Inertial Measurement Unit (IMU) used to directly measure the buoy’s global position, horizontal velocities, rotation rates, accelerations, and heading.We use an Attitude and Heading Reference System (AHRS), 9 degrees-of-freedom Kalman filter to rotate the measured accelerations from the reference frame of the buoy to the Earth reference frame. We then use the corrected accelerations to compute the vertical velocity and sea surface elevation. The measurements were collected over a 27-day field experiment in October of 2021 at the US Army Corps of Engineers Field Research Facility in Duck, NC. The microSWIFTs were deployed as a series of coherent arrays, meaning they all sampled simultaneously with a common time reference, leading to a robust spatial and temporal dataset during each deployment. We evaluate wave spectral energy density estimates from individual microSWIFTs by comparing them with a nearby acoustic waves and currents (AWAC) sensor. We also compare significant wave height estimates from the coherent arrays with the nearby AWAC estimates. A zero crossing algorithm is applied to each buoy time series of sea surface elevation to extract realizations of measured surface gravity waves, yielding 116,307 wave realizations throughout the experiment. These measurements spanned offshore significant wave heights ranging from 0.5 meters to 3 meters and peak wave periods ranging from 5 to 15 seconds over the entire experiment. These data are available at https://doi.org/10.5061/dryad.hx3ffbgk0 (Rainville et al., 2023) and will be used as a validation dataset for wave-averaged and wave-resolving models and will be used to investigate nearshore wave dynamics.
Coexistence of two dune scales in a lowland river
Authors: Zomer Judith Yttje , Vermeulen Bart , Hoitink Antonius J. F.
Published: April 2023

Abstract. A secondary scale of bedforms, superimposed on larger, primary dunes, has been observed in fluvial systems worldwide. This notwithstanding, very little is known about the morphological behaviour and characteristics of this secondary scale. This study aims to better characterize and understand how two dune scales coexist in fluvial systems, and how both scales adapt over time and space, considering their interdependence. The study is based on analysis of a biweekly multibeam echosounding dataset that spans a period of approximately three years and 34 kilometers in the Waal River, a lowland sand-bedded river. Results reveal that the secondary dune scale is ubiquitous across space and time, and not limited to specific flow or transport conditions. Whereas primary dunes lengthen during low flows, secondary dune height, lee slope angle and length correlate with discharge. Secondary dune size and migration strongly depend on the primary dune lee slope angle and height. Secondary dunes can migrate over the lee slope of low-angled primary dunes, and their height is inversely correlated to the upstream primary dune height and lee slope angle. In the Waal River, a lateral variation in bed grain size, attributed to shipping, largely affects dune morphology. Primary dunes are lower and less often present in the southern lane, where grain sizes are smaller. Here, secondary bedforms are more developed. At peak discharge, secondary bedforms even become the dominant scale, whereas primary dunes entirely disappear but reestablish during lower flows.
Multivariate regression trees as an ‘explainable machine learning’ approach to exploring relationships between hydroclimatic characteristics and agricultural and hydrological drought severity
Authors: Paez-Trujilo Ana , Cañon Jeffer , Hernandez Beatriz , Corzo Gerald , Solomatine Dimitri
Published: April 2023

Abstract. The typical causes of droughts are lower precipitation and/or higher than normal evaporation in a region. The region’s characteristics and anthropogenic interventions may enhance or alleviate these events. Evaluating the multiple factors that influence droughts is complex and requires innovative approaches. To address this complexity, this study employs a combination of modelling and machine learning tools to assess the relationship between hydroclimatic characteristics and the severity of agricultural and hydrological droughts. The Soil Water Assessment Tool is used for hydrological modelling. Model outputs, soil moisture and streamflow are used to calculate the drought indicators for the subsequent drought analysis. Other simulated hydroclimatic parameters are treated as hydroclimatic drivers of droughts. A machine learning technique, the multivariate regression tree approach, is then applied to identify the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The case study is the Cesar River basin (Colombia). Our research indicates that multiple parameters influence the Cesar River basin’s exposure to agricultural and hydrological droughts. Accordingly, the basin can be divided into three distinct areas. First is the upper part of the river valley. Due to precipitation shortfalls and high potential evapotranspiration, this region is very susceptible to agricultural and hydrological droughts. The second area is the middle part of the river valley. This area is likewise very susceptible to agricultural and hydrological droughts; however, severe drought conditions are brought on by inadequate rainfall partitioning and an unbalanced water cycle that favours water loss through percolation and evapotranspiration. Third, the Zapatosa marsh and the Serrania del Perijá foothills present moderate exposure to agricultural and hydrological droughts. Mild drought conditions appear to be related to the capacity of the subbasins to retain water, which lowers evapotranspiration losses and promotes percolation. Our results show that the presented methodology, in combining hydrologic modelling and machine learning techniques, provides valuable information about an interplay between the hydroclimatic factors that influence drought severity in the Cesar River basin.
Brief communication: Mountain permafrost acts as an aquitard during an infiltration experiment monitored with electrical resistivity tomography time-lapse measurements
Authors: Pavoni Mirko , Boaga Jacopo , Carrera Alberto , Zuecco Giulia , Carturan Luca , Zumiani Matteo
Published: April 2023

Abstract. Frozen layers within the subsurface of rock glaciers are
generally assumed to act as aquicludes or aquitards. So far, this behavior
has been mainly defined by analyzing the geochemical characteristics of spring
waters. In this work, for the first time, we experimentally confirmed this
assumption by executing an infiltration test in a rock glacier of the
Southern Alps, Italy. Time-lapse electrical resistivity tomography (ERT) technique
monitored the infiltration of 800 L of saltwater released on the
surface of the rock glacier; 24 h ERT monitoring highlighted that the
injected water was not able to infiltrate into the underlying frozen layer.
TO GENERATE DATA AT ALL COSTS FOR TRAFFIC CELEBRITIES: THE REMAKING OF CHINESE NEW POOR THROUGH DATA-DRIVEN FAN CULTURE
Authors: Hou Jiaxi
Published: April 2023

Among Chinese fans of ‘traffic celebrities’ (liuliang mingxing, 流量明星), to generate excessive data either on digital platforms or in various sales charts so as to inflate certain entertainer’s popularity has become a normalized ritual to demonstrate one’s fan identity. The so-called fandom economy effectively mobilizes fans from diverse socioeconomic backgrounds to consume and participate, thus, generates tremendous revenues. However, when some fans could easily satisfy their consumerist desire for being economically powerful and socially successful, many more—who are seduced by the communitas of fan activism and agency as consumers —are unable or not yet fully prepared to afford this lifestyle. Depending on an eighteen-month ethnography, this study unpacks how these fans are seduced, to some extent included, but still exploited in the transitional Chinese consumer society as new poor (Bauman 2005), where digital platforms become new structuring nexus and transform existing power dynamics.
CONFRONTING AND DEMYSTIFYING HARMFUL PARTICIPATORY CULTURES
Authors: Inwood Olivia , Ippolito Heidi , Laminack Michael
Published: April 2023

This year’s AoIR gathering calls us to consider how "new colonizing forces” are “re-fashioning the world in their own image,” and how we might resist such persistent narratives of destructive domination. Our panel examines various modes of online participatory culture and community building through three different frameworks: undetected semiotic affiliation on YouTube, the participatory religious storytelling of QAnon, and the neoliberal self-colonization of MLMs. Our collective aim is to expose existing colonial structures in online spaces (as well as their offline roots) and break them down in order to offer something new. We offer three interdisciplinary approaches that weave together a story about the desire for community and connection. Persistent narratives of individualism compete with the desire for welcoming spaces and shared values, but a long history of colonized internet threatens to reinforce linguistic and narrative hegemony within these online communities. These papers dive deep into the complex problem of finding kinship through destructive worldviews and alternative histories. Unless we find sustainable ways of recognizing and dispelling these pockets of fringe communities, they will inevitably continue to grow and draw in more participants. In a climate of rising individualism and distrust in institutions, communal spaces will continue to be a place of important contestation. People will inevitably gravitate toward (online) communities, but there is a growing concern about what sorts of communities gain the most traction and participants. This panel asks: How can we create more robust safeguards, more compelling stories, and less profit-driven modes of existing in community?
#COTTAGECORE, #FUTURECORE, #SADCORE: USING CRITICAL SIMULATION TO EXPLORE THE INTERPLAY BETWEEN MACHINE VISION AND VERNACULAR INSTAGRAM AESTHETICS
Authors: Burgess Jean , Carah Nicholas , Brown Maria-Gemma , Angus Daniel
Published: April 2023

This paper uses a novel combination of computational and qualitative methods called ‘critical simulation’ to explore the interplay between everyday image-making practices and the algorithmic architecture of Instagram. The paper aims to understand the capacity of machine vision systems to recognise and reproduce the diverse vernacular aesthetics and affects associated with particular scenes on Instagram - in this case, drawing on a case study of Instagram’s ‘-cores’ hashtags. We used our purpose-built machine vision system to undertake unsupervised clusterings of a sample of the 359,150 images associated with a curated set of 60 ‘-cores’ hashtags, which we collected following a period of immersive qualitative investigation of the -cores phenomenon on the platform itself during 2021. We assess the extent to which the system's clusters align with the different -cores hashtags under which the images were originally posted, and then undertake a close cultural analysis of the clusters, reading them through the lens of our existing knowledge of the -core hashtags. This enables us to speculate on how the platforms’ machine vision logics might play a role in shaping Instagram’s platform aesthetics, and on internet culture more broadly.
VIDEOGAMES IN RELATIONSHIP CONFLICTS
Authors: Butt Mahli-Ann
Published: April 2023

This paper contributes to feminist games studies, media studies, and internet studies, presenting findings from semi-structured interviews conducted with seven self-identified women who played videogames with their romantic partners. It seeks to develop a more multifaceted understanding of women’s gaming ‘lifeworlds’ and their struggles to participate and ‘stay in’ the male-dominant public. Specifically, this study observes how relationship dynamics and romantic ties between couples can play an important role in shaping women’s gaming practices. In doing so, this argument challenges the assumption that women’s play can be given as simply ‘a free choice’. Exploring conflicts between couples relative to their gaming habits, as I examine, demonstrates how the accounts of women’s evolving (dis)engagement to gaming cannot sufficiently be captured within a scope that is often limited to discussions about women’s barriers to entry.
DO EMOTIONAL RESPONSES TO DATA VISUALISATION MOBILISE PEOPLE TO ACT? A CASE STUDY OF CLIMATE CHANGE VISUALISATIONS IN DIFFERENT NATIONAL CONTEXTS
Authors: Frątczak Monika
Published: April 2023

This paper offers original insights into social media audiences’ emotional responses to data visualisations about climate change and how these responses play a role in mobilising participation in different national and geographical contexts. Understanding the role emotions play in engagements with graphic representations of data is important, because there is an increased circulation of data through visual representations in everyday life, and because emotions are vital components for making sense of data and for eliciting engagement. Despite this, sociological research has yet to explore emotional experiences of datavis and where they can lead.

This paper uses a comparative mixed qualitative methods approach, incorporating semiotic analysis of thirteen datavis about climate change, nine semi-structured interviews with ten data visualisation professionals from six organisations who design, commission and/or disseminate data visualisations about climate change, thirty-four semi-structured interviews and thirteen follow-up interviews with diverse audience participants from the United Kingdom and Poland who responded to these data visualisations on social media.

The paper argues that datavis can be seen as what I have called an ‘emotional repository’ of dynamic and complex emotional experiences. It can trigger multiple, simultaneous, and often contradictory emotions, relating mainly to the data that is the subject of the visualisation or aesthetic form. These emotions play an important role in mobilising audiences to participate in datafied democracies, more often on an individual and daily level, and less frequently on a collective and public scale. However, they do so in different ways, depending on geographical context and demographic characteristics.
JOSS IS (NO LONGER?) BOSS: FANS’ NEGOTIATIONS AROUND THE “CANCELLING” OF JOSS WHEDON
Authors: Gur-Ze'ev Hadas , Kligler-Vilenchik Neta
Published: April 2023

The case of Joss Whedon, who has been subject to calls for “cancelling” in light of allegations around misconduct and abuse, is at the heart of a major cultural debate. The term ‘cancel culture’ that entered the public sphere alongside the #MeToo movement has quickly earned a contested status. The Whedon fan community has been a key site within this broader controversy, as withdrawal of support for the prominent creator began gradually in 2017 and intensified in 2021, after several allegations of harassment and abuse have been made public. This study will examine how fans perceive these allegations, how they see the status of creators and their contents in light of them, and how they navigate the ambivalences inherent in “cancelling” a previously-valued creator. This case is particularly enlightening given the fact that Whedon was celebrated for advancing feminist agendas in popular culture. In order to understand how Whedon fans perceive, evaluate and employ “cancelling,” this study will employ qualitative analysis of 20 in-depth interviews with Whedon fans and former fans, sampled from the fan community on Twitter. Through an in-depth examination of how fans understand Whedon and his works in light of the recent allegations, this study will shed light on “cancelling” as a political-ideological tool and the ways in which popular culture serves as a key arena in today’s “culture wars.”
OPEN PUBLIC DATA: HOW WE USE IT AND HOW IT USES US
Authors: Hyland-Wood Bernadette
Published: April 2023

Data policy aims to understand how governments, industry, academia, and civil society understand data availability and use. Data policy studies are broad in scope and include theory and practice of open sources of data from traditional sources (e.g., statistics and public health government agencies); representation and interpretation of data; investigations of the social relations and impacts of open public data; and attitudes surrounding data stewardship and public data availability and use.

This study’s empirical research is based on two case studies of the Australian and New Zealand Open Data programs between 2010 and 2020. Based on current scholarship, some factors affecting open data supply were confirmed, and new insights were generated. Social psychology theorising concerning identity leadership was confirmed. When leaders promoted a sense of ‘us’ and ‘who we are’, data stewards were more likely to advance a shared vision for making data available for reuse. The concepts of _collateral peers_ and _collateral peer networks_ were introduced to data policy scholarship. Collateral peer networks engage in multistakeholder governance with no apparent leader-follower relationship. Instead, peers (in function but not necessary title) collaborate across the public service, at various levels of government, and with experts in research institutions (e.g., publicly funded scientific and applied research organisations).

Future areas for public interest technology, specifically data policy research, include how researchers and practitioners can prioritise data stewardship, open data communities, and multistakeholder governance, especially during prolonged and compounding crises.
MODERATING MENTAL HEALTH: ARE AUTOMATED SYSTEMS TOO RISK AVERSE?
Authors: McCosker Anthony
Published: April 2023

Across commercial social media platforms and dedicated support forums alike, mental health content raises important questions about what constitutes risk and harm online, and how automated and human moderation practices can be re-configured to accommodate resilient behaviours and social support. In work with three Australian mental health organisations that provide successful discussion and support forums, this paper identifies moderation practices that can help to re-think how mental health content is managed. The work aims to improve safety and resilience in these spaces, drawing insights from successful practices to inform algorithmic and moderator treatment of mental health content more widely across social media. Through an analysis of interviews and workshops with forum managers and moderators, I paper argue that platforms must incorporate strengths-based context (resilience indicators) into their moderation systems and practices, challenging simplistic assessments of mental health content as risk and harm.
ALT-PLATFORMIZATION: RADICALIZATION OF DISCOURSES AND INFORMATION FLOWS IN THE ALTERNATIVE ECOSYSTEM.
Authors: Nagappa Ashwin , Dehghan Ehsan
Published: April 2023

This paper examines the process of radicalization on the alternative social media platform Gab, and the flow of information between Gab and other similar platforms. Corresponding to the socio-political changes and increasing polarization across the globe, some alternative platforms have witnessed a rising popularity among ultra-conservative and/or right-leaning users. Among such platforms, a few have succeeded in surviving the external pressures put on them through “deplatformisation”. Gab, an alternative platform often equated to the far-right copy of Twitter, is one such space (Zannettou et al., 2018). Gab exhibits significant changes in participation and discourse. By analyzing temporal dynamics of posts on three topics—vaccination discourse, music, and food—we trace the process of radicalization on Gab. We also mapped the content from the most shared external sources (domains) across platforms such as BitChute, Odyssey, Rumble etc. to trace the flow of information across the fringe network. We argue that users are overcoming deplatforming or deplatformization by creating sustainable flows of information in a range of services and spaces, all interconnected through their platformized function. We define this as "alt-platformization", the systemic and systematic process of creating a self-sufficient, viable alternative to the platformized web, entailing the necessary infrastructure, production, circulation, consumption, and reproduction of discourses. A key differentiating feature of alt-platformization is the ideological, along with commercial logics dominating this process and space.
CANCER ON TIKTOK–EVALUATING POSITIVE CULTURE AND ONLINE SELF-DISCLOSURE USING DIRECTED CONTENT ANALYSIS AND IN-DEPTH INTERVIEWS
Authors: Pluta Magdalena , Siuda Piotr
Published: April 2023

The presented paper characterizes TikTok practices of users with cancer and uses notions of social media as positive culture (presenting oneself without undesirable traits) and online self-disclosure understood as providing intimate, private information about oneself. The research continues the work on self-disclosure of women with breast cancer using Instagram. However, this previous research revolved around posts, and thus was limited. The current study on TikTok asks the following questions: 1) are TikTok videos disclosing information in the manner the previous research on Instagram shows? 2) What are the creators’ motivations and what meanings do they give to disclosing cancer and how do the users position themselves considering the positive culture? The study uses categories from previous work and combines qualitative directed content analysis (DCA; 862 videos are analyzed) with in-depth interviews (n=8), and these go beyond DCA to a more nuanced understanding of the users’ lived experience. Similar to Instagram, TikTok is a tool for negative (e.g., fears, anxiety, pain) and positive self-disclosure (e.g., joyful life events, self-acceptance, self-afﬁrmation) with the prevalence of positive and educational videos (e.g. prevention, debunking stereotypes and normalizing the disease). The respondents feel especially competent to educate others because of their experiences. The research undermines the traditional understanding of online self-disclosure, as for users seeking support is not that important, compared to informing and warning others. Also, the study debunks positive culture as a too-general category, as the interviewees constitute a particular niche and seem not to care how they are perceived while disclosing cancer.