bluuebunny/crossref_metadata_2025_split huggingface dataset:
Getting a Grip on Triangular Fibrocartilage Complex Tears: A Retrospective Comparative Study on Triangular Fibrocartilage Complex Debridement Outcomes
Authors: Mirza Ather , Mirza Justin B. , Zappia Luke C. , Thomas Terence L. , Song Junho 
Published: July 2024

Abstract
Background A retrospective analysis was performed to compare the clinical outcomes and complications of patients who underwent triangular fibrocartilage complex (TFCC) debridement based on gripping posteroanterior (PA) view ulnar variance measures.
Methods Patients in Group A (N = 17) demonstrated ulnar variance measures <1.0 mm on the standard PA view and ≥1.0 mm on the gripping PA view. Patients in Group B (N = 13) maintained ulnar variance measures <1.0 mm on standard and gripping PA views. Clinical outcome measures included return to work, visual analog scale (VAS) scores, and range of motion. Complications included persistent pain, postoperative injections, and indication for revision surgery. Qualitative and quantitative measures were analyzed using Fisher exact tests and Student's t-tests, respectively.
Results Significantly more patients in Group A (7/17) did not return to work compared with Group B (1/13) (p < 0.05). Mean VAS scores decreased from 7.0 to 5.3 in Group A and from 6.8 to 2.0 in Group B. Group A reported lower flexion–extension and pronation–supination arcs compared with Group B (110 vs. 130 degrees and 161 vs. 174 degrees) (p < 0.05). Significantly more patients in Group A (10/17) reported persistent pain at ≥3 months postoperatively compared with Group B (2/13) (p < 0.05). Seven cases were indicated for revision surgery in Group A, while no cases were indicated in Group B (p < 0.05).
Conclusion Patients in Group A reported inferior clinical outcomes compared with Group B based on pain, range of motion, and indication for revision surgery. Dynamic ulnar variance may play a role in the clinical outcomes of patients treated with TFCC debridement.
Level of Evidence Level IV.
Type of Study/Level of Evidence Retrospective Comparative Study/Level IV.
Lingual Seizures in a Four-Year-and-Eight-Month-Old Boy
Authors: Koul Roshan , Alam Seema , Khanna Rajeev 
Published: July 2024

AbstractLingual seizures (LS) mean isolated seizures of the tongue. They are uncommon, and only a few cases have been reported. Sensory, motor, and autonomic auras or focal manifestations have a localizing value in seizures. LS have been reported with and without focal pathology in the brain. LS must be differentiated from more common conditions, like lingual tremors/dyskinesias. We report a 4-year-and-8-month-old boy with LS.
A Bedside Screening Tool for Acute Intracranial Hemorrhages in Intubated Children using Continuous Quantitative Electroencephalography Monitoring
Authors: Tanna Runi , Amorim Edilberto , Caffarelli Mauro 
Published: July 2024

Abstract
Significance Recognition of intracranial hemorrhage is challenging in children who require deep sedation to tolerate mechanical ventilation. The Correlate Of Injury to the Nervous System (COIN) index may enable real-time recognition of intracranial hemorrhage at bedside.
Methods Retrospective analysis of electroencephalography (EEG) data from children with spontaneous intracranial hemorrhage while intubated and sedated in the pediatric intensive care unit. Patients were selected for having normal head imaging at time of EEG start and required demonstration of hemorrhage on repeat imaging following an uninterrupted period of EEG recording. Power spectrum data were analyzed to yield a COIN value and visualization for every 4 seconds of recording. EEG recordings were subdivided based on COIN-risk alarm states (low, medium, or high). Changes in COIN were compared with changes in commercially available quantitative EEG trending software. COIN values for each subdivision were compared within cases using the Wilcoxon Rank-Sum Test.
Results Two children developed spontaneous intracranial hemorrhage while intubated. COIN shows transitions from low-to-medium (p < 0.001) and medium-to-high-risk (p < 0.001 in both cases) alarm states. Discrete transitions in COIN alarm state preceded clinical recognition of hemorrhage by several hours. COIN visualized focal power attenuation concordant with hemorrhage localization. In both cases, qualitative EEG was not reported to have focal abnormalities during the medium-risk alarm state.
Conclusion COIN may assist in real-time recognition of intracranial hemorrhage in children at bedside. Further study and development are required for clinical implementation of COIN in several clinical settings where patients are at high risk of new or worsening intracranial hemorrhage.
Pelvic Symphyseal Distraction Osteotomy with Handmade Cemented Prosthesis to Manage Obstipation Secondary to Pelvic Fracture Malunion in a Young Dog
Authors: Hamon Martin , Copet Anne , Thibault Alexandre , Bruwier Aurelie , Haudiquet Philippe 
Published: July 2024

AbstractA 5-month-old mixed breed dog suffered chronic obstipation secondary to malunion of multiple pelvic fractures. Pelvic symphyseal distraction osteotomy with a handmade cemented prosthesis was performed, resolving pelvic stenosis.
Sinonasal Malignancy Following Cranial Irradiation: A Scoping Review and Case Report of Sinonasal Teratocarcinosarcoma
Authors: Levy Ben B. , Biasio Michael J. De , Toledo Nilo Alvarez , Das Sunit , Bartling Mandolin , Aldahari Fahad , de Almeida John R. , Weinreb Ilan , Chan Yvonne 
Published: July 2024

Abstract
Background Radiation therapy is a mainstay of treatment for brain tumors, but delayed complications include secondary malignancy which may occur months to years after treatment completion.
Methods We reviewed the medical records of a 41-year-old female treated with 60 Gy of radiation for a recurrent astrocytoma, who 6 years later developed a locally advanced sinonasal teratocarcinosarcoma. We searched MEDLINE, Embase, and Web of Science to conduct a scoping review of biopsy-proven sinonasal malignancy in patients who previously received cranial irradiation for a brain tumor.
Results To our knowledge, this is the first report of a patient to present with a sinonasal teratocarcinosarcoma after receiving irradiation for a brain tumor. Our scoping review of 1,907 studies produced 14 similar cases of secondary sinonasal malignancy. Median age of primary cancer diagnosis was 39.5 years old (standard deviation [SD]: 21.9), and median radiation dose was 54 Gy (SD: 20.3). Median latency time between the primary cancer and secondary sinonasal cancer was 9.5 years (SD: 5.8). Olfactory neuroblastoma was the most common sinonasal cancer (n = 4). Fifty percent of patients died from their sinonasal cancer within 1.5 years.
Conclusion Patients who receive radiation exposure to the sinonasal region for treatment of a primary brain tumor, including low doses or scatter radiation, may be at risk of a secondary sinonasal malignancy later in life. Physicians who monitor at-risk patients must be vigilant of symptoms which may suggest sinonasal malignancy, and surveillance should include radiographic review with careful monitoring for a secondary malignancy throughout the entire irradiated field.
Prediction of changes in war-induced population and CO2 emissions in Ukraine using social media
Authors: Liu Zhenjie , Li Jun , Chen Haonan , Wang Lizhe , Yang Jun , Plaza Antonio 
Published: July 2024

AbstractMonitoring the changes in population and anthropogenic CO2 emissions caused by geopolitical conflicts is significant for humanitarian assistance and also for revealing the CO2 emission patterns of human activities. However, the changes in population and anthropogenic CO2 emissions are highly dynamic, and representative survey data are generally unavailable. We monitor the near-real-time and fine-grained changes in war-induced population and anthropogenic CO2 emissions in Ukraine through social media data. One year after the invasion, over 11 million Ukrainians are displaced from the baseline $${0.1}^{\circ}\,*\,{0.1}^{\circ}$$

0.1

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0.1

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gridded regions. There is a significant correlation between the estimated changes and the reference changes for each month in all CO2 emission sectors, with R2 respectively ranging from 0.57 to 0.93, 0.41 to 0.9, 0.74 to 0.99 for residential consumption, ground transport, and industry sectors. Overall, the proposed method provides a new perspective to monitor Ukrainian refugee crisis and measure the spatio-temporal response of anthropogenic CO2 emissions.
Analysing the heterogeneity in working conditions of migrant informal workers in China: a test of the WIEGO model of informal employment
Authors: Huang Gengzhi , Cai Bowei , Liu Shuyi , Xue Desheng 
Published: July 2024

AbstractThis paper sheds light on the internal heterogeneity within the informal economy by examining the working conditions of migrant informal workers in China. It presents the first attempt to test the WIEGO model on the relationship between informality, income, poverty and gender. Based on 107,020 samples of informal workers from the 2017 China Migrants Dynamic Survey (CMDS), economic, social and occupational health components of working conditions of migrant informal workers in five employment-status tiers are analysed. The results show the significant heterogeneity within informal workers in terms of their income, working intensity, labour contracts, social security, union and community support. The relationships between the informal employment tiers and income, poverty and gender show a pattern that is not fully in line with the WIEGO model, suggesting the complexity and plurality of heterogeneities in informal employment. The paper concludes by calling for research on regional varieties of the heterogeneity in informal employment worldwide to better understand the unfolding of the inequality-informality nexus in specific contexts.
Exploring absolutive case in reversible sentence structures of Mandarin Chinese1, 2
Authors: Jin Lixin 
Published: July 2024

Abstract
This paper examines the absolutive case in Modern Mandarin Chinese sentences with reversible argument structures.
In these sentences, the two arguments adjacent to the verb can be interchangeable in syntactic position. Although previous
research has provided partial descriptions and analyses of this grammatical phenomenon, there is still no comprehensive and
systematic exploration of these reversible sentences. Employing a reductionist methodology, the study meticulously examines the
interaction modes between the verb and its arguments in eight types of reversible sentence structures involving the addition or
omission of argument roles. This analysis reveals a distinct pattern that highlights the centrality of an ‘absolute argument’
within these sentences. Building on these observations, the paper articulates the fundamental structural patterns of reversible
sentences and concludes a unified explanatory framework. This research enriches our understanding of Mandarin Chinese syntax and
offers valuable perspectives on the linguistic dynamics underlying reversible sentence construction.
Simulation of Rotating Asymmetric Sideways Forces during Vertical Displacement Events in CFETR
Authors: Jiang 蒋 Changzhi 长智 , Wang 王 Shunwen 顺文 , Zhou 周 Zhenyu 振宇 , Hu 胡 Di 地 , Li 李 Bo 博 ,   JOREK team
Published: July 2024

Abstract
Tokamak plasmas with elongated cross sections are susceptible to vertical displacement events (VDEs), which can damage the first wall via heat flux or electromagnetic (EM) forces. We present a 3D nonlinear reduced magnetohydrodynamic (MHD) simulation of CFETR plasma during a cold VDE following the thermal quench, focusing on the relationship among the EM force, plasma displacement, and the n = 1 mode. The dominant mode, identified as m/n = 2/1, becomes destabilized when most of the current is contracted within the q = 2 surface. The displacement of the plasma current centroid is less than that of the magnetic axis due to the presence of SOL current in the open field line region. Hence, the symmetric component of the induced vacuum vessel current is significantly mitigated. The direction of the sideways force keeps a constant phase approximately compared to the asymmetric component of the vacuum vessel current and the SOL current, which in turn keep in-phase with the dominant 2/1 mode. Their amplitudes are also closely associated with the growth of the dominant mode. These findings provide insights into potential methods for controlling the phase and amplitude of sideways forces during VDEs in the future.
Spectroscopy and microscopy characterizations of two-dimensional materials with Moiré superlattices
Authors: Wang Zhenlai , Zhu Mengjian 
Published: July 2024

Abstract
The Moiré superlattice formed by twisting two-dimensional materials at a certain angle has become an exciting platform for studying new properties of two-dimensional materials. Due to the introduction of new periodic potentials, Moiré superlattices can generate a series of exotic physical phenomena, for instance, Moiré excitons, unconventional superconductivity, topological phase transitions, and so on. Non-destructive characterization methods such as spectroscopic characterization and microscopy techniques are powerful tools for investigating the structural and electronic properties of Moiré superlattices. This review tries to provide a comprehensive introduction to typical spectroscopic methods such as Raman spectroscopy, photoluminescence spectroscopy, angle-resolved photoemission spectroscopy, and the contributions of microscopy techniques such as scanning near-field optical microscopy in characterizations of Moiré superlattices. We summarize the latest progress made in the field of Moiré superlattices with the help of these techniques and discuss the advantages of different characterization methods.
Biplanar coils design for spatial nonlinear magnetic fields using an enhanced target field method
Authors: Yuan Shuai , Cui Peiling , Shi Minxia , Zhang Xu , Yang Jianzhi , Zhang Leran , Ma Yuzheng 
Published: July 2024

Abstract
The demand for spatial nonlinear magnetic fields (SNMF) spans diverse domains, encompassing medical applications like drug transportation and aerospace applications such as attitude control. Existing designs of magnetic field coils predominantly focus on uniform and gradient fields as the complexity of nonlinear magnetic field distribution often leads to intricate solution processes. This paper presents a novel approach to coil design, addressing the challenge of SNMF distribution by reconstructing the characteristic matrix within the traditional target field method (TFM). To solve the overdetermined equations involved, we incorporate an improved particle swarm optimization algorithm into the TFM framework. A pair of symmetrical and asymmetrical coils are designed and the effectiveness of this method is verified by comparing the simulated and experimental results.
Multi-IMUs and GNSS integrated positioning based on second-order autoregressive model
Authors: Li Jiajia , Yang Cheng , Li Mingyue , Gao Zhouzheng 
Published: July 2024

Abstract
The positioning accuracy of the low-cost inertial measurement unit (IMU) and global navigation satellite system (GNSS) integrated system degrades rapidly during the GNSS blockage, due to complex error terms contained in the IMU measurements. This study proposes a data fusion strategy by integrating measurements of multiple low-cost IMUs, aiming to denoise the high-frequency noise on individual IMU measurements. Moreover, a systematic error compensation strategy based on the second-order auto-regressive (AR2) model is proposed to reduce the impacts of the correlated error of the low-cost IMUs measurements on positioning during the GNSS blockage. The 3 h static IMUs measurement data are collected to analyze the different measurement fusion methods and measurement error characteristics. The Allan variance and power spectral density results indicate that the random errors of the fused IMU measurements are reduced by 69.57% compared to those of the individual IMU measurements. The frequency characteristic of the fused measurements is similar to that of the 6-level wavelet denoising technique with the db4 strategy, the high-frequency noise is reduced compared to that of individual IMU measurements. GNSS/IMUs loosely coupled architecture is employed to evaluate the positioning performance during the GNSS outage. Random walk (RW), first-order Gaussian Markov (GM1), and AR2 models are employed to describe the error characteristic of the IMU stochastic error. The positioning accuracy of the fused IMUs measurements by averaging with AR2 error compensating is improved by 59.88%, 59.97%, and 45.57% compared to those of RW, GM1, and AR2 with individual IMU measurements. The dynamic test results indicate that the fused IMU measurements with the AR2 error compensation decrease the error variance and improve the positioning accuracy during the GNSS outage.
Addendum: Thermodynamic quasi-equilibria in high power magnetron discharges: a generalized Poisson–Boltzmann relation (2023 Plasma Sources Sci. Technol. 32 055012)
Authors: Köhn Kevin , Krüger Dennis , Eremin Denis , Xu Liang , Brinkmann Ralf Peter 
Published: July 2024

Abstract
A recent publication by Köhn et al (2023 Plasma Sources Sci. Technol.
32 055012) studied the quasi-equilibria of high power magnetron discharges through thermodynamic principles. A generalized, magnetic-field aware Poisson–Boltzmann relation for the electric potential and the electron density was established using a non-standard (multi-objective) variational principle. This addendum demonstrates that, assuming slow or quasistatic evolution, the same result can be realized via a standard (single-objective) variational principle, thereby streamlining the theoretical framework while preserving the robustness of the finding.
Copula-Based Prediction of Small Area Estimation for Youth Mean Years of Schooling in West Java Province
Authors: Agustina D N , Notodiputro K A , Indahwati  , Syafitri U D 
Published: July 2024

Abstract
Modeling-based estimation, namely small area estimation (SAE), is increasingly developing to provide reliable statistics on small areas. SAE’s critical role is to overcome the resource limitations required in presenting statistics at the small area level through direct estimation methods, namely census and survey. SAE is an alternative in fulfilling the need for basic data in small areas to support the accuracy of various policies both by the government and multiple stakeholders to encourage the successful implementation of Agromaritime 4.0 to contribute to sustainable development goals. This research applies SAE to present mean years of schooling (MYS) to provide reliable statistics in small areas. MYS is one of the benchmark indicators and the basis for efforts to improve human resource quality to optimize the implementation of Agromaritime 4.0 and successfully achieve the 2030 agenda of sustainable development goals. The application of the SAE model in this study uses a nested error regression model and a multivariate exchangeable copula model. The use of two models is expected to provide information regarding the performance of the two models and determine the best model in presenting indicators of the youth mean years of schooling by sub-district in West Java Province.
Modelling Chlorophyll and Nutrient Contents of Peperomia obtusifolia ‘Green Gold’ Using MAPIR RGN and RGB Sensors
Authors: Widjaja H , Rianto I A D , Trisasongko B H , Randrikasari O 
Published: July 2024

Abstract
Floriculture plants face challenges in terms of resilience and lengthy breeding processes. Ornamental leaf plants as a subset of floriculture encounter even higher ordeal, despite their high values. Research, although have been presented in the literature, are negligible compared to other agricultural commodities. Hence, to date, information gathered is considerably limited, especially the one that promotes non-invasive methods. In this study, Peperomia obtusifolia “Green Gold”, which has a unique leaf patterns and interesting colors, was investigated. This research aimed to identify the relationship between chlorophyll and leaf nutrient content, as well as their responses to RGB/RGN imaging sensors. Regression suggested a strong association between nutrients and chlorophyll. We found that spectral index like the Excess Green (EG) from the RGN sensor helps to effectively distinguish plants states. Nitrogen yielded the highest impact on chlorophyll, while phosphorus returned the least. Other nutrients like potassium, calcium, magnesium, sodium, and sulphur also contributed to chlorophyll levels. We developed preliminary machine learning models to predict chlorophyll from commonly used RGB/RGN imagers. The initial state suggested that prediction of chlorophyll is possible, while potential improvements should be initiated. The research highlighted the significance of these findings in advancing floriculture through imaging technology to allow developments of non-invasive methods for high throughput plant phenotyping.
Utilization of whey-based growth media for production of recombinant papain-like protease of SARS- CoV-2 under Escherichia coli host cells
Authors: Alifiya Q , Taufik E , Soenarno M S , Arifin M , Budiman C 
Published: July 2024

Abstract
The Papain-like protease (Plpro) of the SARS-CoV-2 virus represents a potential therapeutic target for combating Coronavirus Disease 2019 (COVID-19). Due to its practicality and cost-effectiveness, recombinant production of Plpro is conventionally achieved through Escherichia coli. However, this process’s synthetic Luria-Bertani (LB) medium remains economically burdensome. This study explores the feasibility of substituting LB medium with whey, a by-product of cheese processing renowned for its rich nutritional profile. Employing whey as an alternative growth medium for E. coli, the study investigates various whey concentrations obtained from homemade cheese production. Pre-cultured E. coli BL21(DE3) cells hosting the Plpro expression system were initially cultivated in LB broth before being transferred to a medium containing different ratios of LB and whey. The expression of Plpro was induced with one mM isoprophyl-β-d-thiogalactosidase (IPTG) when the cells reached an OD of 0.5-0.6. Intriguingly, the cells grown in a 50% whey + 50% LB medium exhibited a faster OD increase than other media compositions. Subsequent SDS-Page analysis confirmed Plpro expression post-IPTG induction, with optimal expression observed in the 50% whey medium. These findings suggest that a 50% whey medium is optimal for the cost-effective production of recombinant Plpro.
You Only Look Once (YOLOv8) for Fish Species Detection
Authors: Prameswari F , Octafiani H , Haryanto T 
Published: July 2024

Abstract
As a maritime nation characterised by vast expanses of seas, Indonesia committed to preserving and managing its abundant marine resources. Therefore, developing the fisheries industry with the ability of computers and its technology, especially in the process of fish species detection precisely. In this research, the author proposed a new model with the state-of-the-art deep learning YOLOv8s (You Only Look Once) for fish species detection. The model is trained with Fish-gres dataset to provide ground truth labels for training and evaluation purposes. Four species observed in this research: Chanos Chanos, Upeneus Moluccensis, Rastrelliger Faughni, and Oreochromis Niloticus. The research succeeds in detecting all four species in a total dataset of 2,000 images with 70% training data, 20% validation data, and 10% testing data. From the best-trained model testing on the test dataset, the mAP@0,5 performance for all classes is 98.2%.