bluuebunny/crossref_metadata_2025_split huggingface dataset:
Protective Effects and Mechanisms of Astragaloside on Microwave Radiation-induced Cardiac Injury
Authors: Zhang Xueyan , Zhao Li , Hu Shaohua , Miao Congcong , Dong Ji , Zhang Jing , Yao Binwei , Lv Yan , Peng Ruiyun 
Published: February 2025

This study explores the potential protective effects and mechanisms of astragaloside (AST) on microwave radiation-induced cardiac injury. Rats and H9c2 cells were irradiated with S-band microwave to induce in vivo and in vitro cardiac injury models. In irradiated rats, experiments such as electrophysiological examination, serum biochemical analysis, hematoxylin and eosin (H&E) staining, transmission electron microscopy (TEM), western blot, and immunohistochemical staining were performed after AST were administrated for 7 and/or 14 days. In irradiated H9c2 cells that were pretreated with 1-Azakenpaullone (glycogen synthase kinase-3β inhibitor) or AST, experiments such as TEM, cell counting kit-8 assay, western blot, tetramethylrhodamine methylester staining, and determination of reactive oxygen species (ROS), adenosine triphosphate (ATP) and mitochondrial membrane potential (MMP) were performed. In vivo results showed that at 7 days after exposure, microwave radiation-induced severe cardiac injury (as evidenced by abnormal electrocardiograms and cardiac tissue structure, increased serum myocardial enzyme activities and Ca2+ concentration) and lower level of phosphorylation of glycogen synthase kinase-3β (p-GSK-3βSer9). All these changes were reversed after AST treatment. The results of in vitro experiments showed that microwave radiation induced a lower level of p-GSK-3βSer9, more mitochondrial permeability transition pore (mPTP) opening and more serious mitochondrial dysfunction (characterized by increased intracellular ROS production, decreased intracellular ATP synthesis and MMP decline) in H9c2 cells. All these changes were reversed by 1-Azakenpaullone and AST pretreatment. The findings suggest that AST could shield against microwave radiation-induced cardiac injury by promoting the phosphorylation of GSK-3βSer9, thereby inhibiting mPTP opening and restoring mitochondrial function. This study offers valuable insights into potential therapeutic strategies for mitigating the adverse effects of microwave radiation on cardiac health.
A Roadmap for Disaster Risk Reduction and Management in Kidney Care
Authors: Sandal Shaifali , El Wazze Saly , Nijjar Diya , Ethier Isabelle , Paparella Alessia N. , Hales Lindsay , Finkle S. Neil , Jha Vivekanand , Stigant Caroline 
Published: February 2025

Background:
Natural, technological and other disasters cause significant human suffering, and kidney patients are uniquely vulnerable. The safe provision of kidney replacement therapies necessitates the consistent provision of resources. Robust disaster risk reduction and management (DRRM) can mitigate risks associated with resource disruption. Individual kidney care programs may benefit from an organized approach to developing context-specific protocols. We aimed to synthesize contemporary literature in kidney care to create a roadmap in DRRM.

Methods:
We conducted a scoping review followed by a content analysis using the Framework Method. Literature that focused on lessons learned and proposed strategies or recommendations in DRRM was eligible. We contextualized this roadmap within the domains of disaster preparedness, response, and recovery.

Results:
Of 3,973 titles and abstracts screened, 52 articles were included. We developed the following roadmap: 1) the ‘ABC4s’ of disaster preparedness: Assess needs, risks, and vulnerabilities (regional risks, patients at risk); Build a task force network; Capacity building (tangible resources, intangible resources, monetary considerations, transportation); Communication (network and protocol, patients’ medical and dialysis information, contact information of all stakeholders, inclusive approach, reliable medium); Coaching (patients, caregivers, healthcare personnel, reinforce and repeat); Contingency planning (surge capacity, rationing care, resource distribution); and Strategic partnerships. 2) the ‘DIAL’ response: Damage and scope assessment; Initiate action plan (choose the plan, apply preparedness tenets, implications for receiving facilities); Appraise the action plan regularly (reassess, maintain ethical standards, address psychosocial needs); and Liaise, engage and update. 3) the ‘ARC’ to recovery: Assess damage; Return to the (new) norm; and Collect data to evaluate, improve, and share.

Conclusions:
We propose a roadmap to disaster preparedness, response and recovery that can guide individual kidney care programs globally to develop context-specific protocols aimed at building capacities and facilitating processes toward DRRM.
Evaluating the Impact of Spectrum-Matched Time Histories on Biased FRS Estimates: Part 2-Adequacy Analysis Using Enhanced Spectrum-Matched Time Histories
Authors: Li Bo , Sun Xiaoying , Wu Xiting 
Published: February 2025

ABSTRACT
Floor response spectra (FRS) are critical for the seismic analysis of the nuclear secondary system as per American Society of Civil Engineers Standard 4-16. Despite the use of spectrum-matched time histories, significant variations in FRS estimates can lead to inaccuracies in seismic analysis and system design. Our companion article explored the influences of ground-motion parameters modification due to spectral matching on FRS accuracy using machine learning, revealing that changes in spectral acceleration and damping scaling factor index IDSF for damping ratios ξ=7%, ξ=2%, and ξ=10%, significantly contributed to biased FRS estimates. Building on these insights, we propose enhanced spectrum-matched time histories that include additional IDSF values for different damping ratios. Using a nuclear service building as a case study, we demonstrate that these enhanced time histories significantly improve FRS accuracy, benefiting seismic safety practices in the nuclear industry.
STRATEGI PEMASARAN JASA PENDIDIKAN DI SMA ISLAM PANGLIMA BESAR SOEDIRMAN 1 BEKASI
Authors: Ershadwi Satria Muhamad Faisal , Listyasari Winda Dewi , Putra Heldy Ramadhan 
Published: February 2025

This research is located in SMA Islam Panglima Besar Soedirman 1 Bekasi. This research aims to perceive and obtain empirical data related to marketing strategy in educational service and market positioning. This research is conducted since March 2017 until July 2017. The approach that used in this research is qualitiatve with descriptive method. Data collection is done through interview, observation, and documentation study. The sources of research data came from key informants namely the headmaster of Islamic Senior High School Panglima Soedirman 1 Bekasi, as well as several supporting informants namely Vice Principal of Student Affairs, Vice Principal of Curriculum and Vice Principal Division of Public Relations and Infrastructure.
The results of this study indicate that: (1) market segmentation analysis conducted by SMA Islam Panglima Besar Soedirman 1 Bekasi includes demographic segmentation including segment of education level, economic level, religion and geographical segmentation covering residence segment, (2) SMA Islam Panglima Besar Soedirman 1 Bekasi determines the target market by evaluating the attractive segment, (3) SMA Islam Panglima Besar Soedirman 1 Bekasi determines the market position by showing the superiority and characteristic owned such as school achievement, complete facilities, curriculum with additional religious education Islam, and the quality of schools that have received "A" accreditation and ISO 9001: 2015 certificates, and submitted them to specified target markets.

Keywords: Marketing Strategy, Market Segmentation, Targeting, Positioning
KNOWLEDGE MANAGEMENT DI SUB DIREKTORAT PENILAIAN KINERJA DAN PENGEMBANGAN KARIER GURU PENDIDIKAN DASAR
Authors: Jabar Muhammad Abdul , Zulaikha Siti , Ambar Arum Wahyu sri 
Published: February 2025

ABSTRAK
Penelitian dilakukan di Sub Direktorat Penilaian Kinerja dan Pengembangan Karier Guru Pendidikan Dasar, yang bertujuan untuk mengetahui gambaran knowledge management di tempat ini. Penelitian ini dilakukan dari bulan Januari - Juli 2017. Peneliti menggunakan pendekatan kualitatif dan metode deskriptif. Pengumpulan data dilakukan melalui pengamatan, wawancara, dan studi dokumentasi. Sumber dari penelitian ini yaitu: Kepala Subdit, Kepala Sie Penilaian Kinerja, penanggung jawab kelompok kerja dan anggota kelompok kerja..

Penciptaan pengetahuan dimulai dari instruksi pimpinan atau pengembangan kebijakan, lalu kepala subdit, kepala sie dan penanggung jawab kelompok kerja diikutsertakan dalam sosialisasi kebijakan tersebut. Hasil dari kegiatan tersebut dibuat pengetahuan baru berupa peraturan pemerintah atau sejenisnya. Pengetahuan baru ini lalu di diskusikan kepada pegawai yang lain sehingga pegawai yang lain mengetahui hasil dari sosialisasi yang diikuti beberapa pegawai. Selain itu, dilakukan juga rolling tugas untuk menambah pengetahuan pegawai. Setelah itu dalam penerapan pengetahuannya pegawai atau kelompok kerja membuat program-program yang sesuai peraturan pemerintah.

Sub Direktorat Penilaian Kinerja dan Pengembangan Karier Guru Pendidikan Dasar hendaknya memperbanyak keterlibatan pegawai yang lain dalam proses penciptaan pengetahuan baru untuk mengembangkan kompetensi mereka. Selain itu, diperbanyak bahan bacaan untuk menambah pengetahuan pegawai.
Kata Kunci : Knowledge Management
Current-Sensorless Robust Sliding Mode Control for the DC-DC Buck Converter
Authors: Oucheriah Said 
Published: February 2025

Abstract

A current-sensorless PWM-based robust sliding mode Controller for the DC-DC Buck Converter is proposed. An extended state observer is used to estimate a lumped uncertainty that comprises the uncertain load and input voltage and also to estimate the derivative of the output voltage. A linear sliding surface is used to derive the controller that is simple in its design and yet exhibits excellent features in term of external disturbance suppression. Its robustness is validated by computer simulations using converter examples from two recent studies. Future work will be the validation of these results experimentally.
A physics-informed cluster graph neural network enables generalizable and interpretable prediction for material discovery
Authors: Yang Ming , Cheng Hao , Yang Tong , Zeng Minggang , Wu Hao , Wang Zhengzhong , Hong Haokai , Chen Cheng , Li Bing , Wang Zhongrui , Lau Shu Ping , Lin Wanyu , Tan Kay Chen 
Published: February 2025

Abstract

Machine learning (ML) plays a pivotal role in the development of functional materials, in which graph neural networks (GNNs) have shown improved performance by utilizing the graph representation of atoms and bonds to effectively characterize materials. However, it remains challenging to achieve efficient, robust and interpretable predictions due to the limited integration of domain knowledge. In this study, we propose leveraging the local structure and short-range atomic interactions of materials using a cluster graph representation to improve the performance. This physics-informed cluster graph neural network (CG-NET) significantly enhances computational efficiency through a cluster sampling strategy. Importantly, by incorporating pseudo nodes as neighbors to the nodes at the cluster boundaries, we maintain the bonding coordination environment, enhancing the prediction accuracy. We further demonstrate CG-NET’s remarkable prediction accuracy and efficiency across diverse material systems and properties and reveal its superior interpretability and generalizability with extensive experiments. Our work highlights the importance of integrating domain-specific scientific knowledge into the design of a generalizable and interpretable ML framework. The cluster graph representation in the CG-NET could be extended to other graph-based neural networks to accelerate the development of functional materials while significantly reducing computational cost.
Intracranial Extramedullary Hematopoiesis in a Recently Recovered Monkeypox Patient: A Case Report
Authors: Stev Edward 
Published: February 2025

Abstract

Extramedullary hematopoiesis (EMH) is a compensatory response wherein blood cell production occurs outside the bone marrow, typically as a result of hematologic disorders that impair bone marrow function. Conditions such as myelofibrosis, thalassemia, and sickle cell disease often lead to EMH in organs like the liver and spleen, which serve as alternative sites for hematopoiesis. This case report highlights the importance of considering EMH in the differential diagnosis of intracranial lesions, exemplified by a 67-year-old woman who presented with headaches and generalized malaise. Her medical history included hypertension and mild anemia. Magnetic resonance imaging (MRI) revealed a cystic mass in the right inferomedial parietal lobe, which showed medial mural enhancement, edema, and mass effect, with an additional enhancing focus in the left parietal lobe. Initially suspected to be a hemangioblastoma, the resected mass was found to be a benign vascular lesion with endothelial hyperplasia, but without the characteristics of cavernous hemangioma or vascular malformation. The histopathological examination revealed foci of erythroid and myeloid precursors, and megakaryocytes, with immunohistochemical staining confirming the diagnosis of EMH. Subsequent investigations revealed no underlying hematological disorders, leading to a diagnosis of idiopathic intracranial EMH. The patient underwent intensity-modulated radiation therapy (IMRT) for the remaining lesion and showed significant improvement in symptoms at three months follow-up. This case underscores the diagnostic challenges associated with intracranial lesions and highlights the necessity of considering EMH, particularly when faced with atypical imaging and histopathological features. Future research is needed to optimize therapeutic strategies and assess long-term outcomes for intracranial EMH.
Unlocking the secrets of pegmatite-type lithium deposits: control of melt-fluid mass ratio
Authors: Cao Yonghua , Xiong Yiqu , Fan Zhiwei , Di Hongfei , Dick Jeffrey , Linnen Robert , Jiang Shao-Yong 
Published: February 2025

Abstract

The search for alternatives to traditional fossil fuels has become a global priority, with lithium-ion batteries emerging as a primary substitute for conventional energy sources. The importance of lithium has increased significantly due to the rapid development of new energy vehicles, with spodumene (LiAlSi2O6) being the principal economic mineral for lithium extraction. Spodumene is predominantly found in pegmatites, despite that not all pegmatites are enriched in spodumene. Spodumene-bearing pegmatites are believed to form mainly during magmatic-hydrothermal processes, especially through the differentiation of highly evolved granites. Although fluids can significantly influence the enrichment of lithium, the role is contentious. Magmatic fluids can transport mobile elements (e.g., Li, F, B) and lead to their precipitation and concentration under favorable mineralization conditions. Conversely, fluid interactions may alter and redeposit already crystallized minerals, potentially decreasing the lithium grade. A quantitative assessment of the role of fluids in lithium ore formation is essential for resolving this debate, but the role of fluids is poorly understood. Here, we selected spodumene-bearing pegmatites from two pegmatite fields with well characterized zoned lithologies, Renli-Chuanziyuan and Ke’eryin, to elucidate the key controls on spodumene formation in pegmatites. Through detailed mineralogical observations, geochemistry, and simulation calculations, we propose that spodumene forms after the granitic melt reaches fluid saturation. As fluid mass in the system increases, the amount of spodumene formed initially rises and then declines. Therefore, the melt-fluid mass ratio is critical in controlling spodumene formation. We demonstrate that a melt-fluid mass ratio of ~ 2 is optimal for producing economically significant pegmatite-type lithium deposits, providing important guidance for lithium exploration and prospecting efforts.
DEM-FDM Investigation of Bedding Plane Properties’ Impact on Laminated Roof Stability
Authors: Ma Xiang , Shi Qingwen , Mishra Brijes , Zhao Yun , Ouyang Zhenhua , Guo Zhengjun , Wang Jiyang 
Published: February 2025

Abstract

Laminated roofs are susceptible to cutter roof failure caused by excavation disturbances. To assess the impact of bedding plane properties on their stability under mining stress, a panel-scale numerical model was created using a combination of the discrete element method (DEM) and finite differential method (FDM). The laminated roof was modeled with a bonded particle model (BPM) integrated with a discrete fracture network (DFN) to closely examine fracture behavior, while the surrounding rock was treated as a continuum material. The model was validated through a uniaxial compressive test on Berea sandstone. This validated model was then used to study how varying bedding plane strength and the cohesion-to-tensile strength ratio affect roof deformation, fracturing, and failure during entry development and panel extraction. The findings indicated that entry development caused more roof deformation than panel extraction. Increasing bedding plane strength enhanced the overall stability of the roof, reducing damage to both bedding planes and individual layers. Roof deformation was more sensitive to changes in bedding strength, especially when the bedding was weak. Reducing bedding plane strength led to more shear-tensile cracks and overall damage, particularly in weaker structures. This coupling method was proved to enable the simulation of large-scale panel extraction conditions at an efficient computational cost.
Tracking international development assistance on a global scale and achieving reliable and standardised estimations of bilateral funding for climate-related initiatives through the application of machine learning algorithms
Authors: Badki Meenal 
Published: February 2025

Abstract

First part :Tracking international development assistance offers critical empirical insights for policymakers seeking to fund the Sustainable Development Goals (SDGs). In response to the constraints of current monitoring methodologies, we have devised a machine learning framework that facilitates a thorough and detailed classification of development aid initiatives using the content of their textual descriptions. In particular, we categorise the descriptions of approximately 3.2 million aid initiatives implemented from 2000 to 2018, amounting to a total of US$2.8 trillion. Consequently, 173 activity clusters were produced to encompass the themes of underlying aid activities. Of these, 70 activity clusters pertain to subjects that have yet to undergo empirical analysis, such as reducing greenhouse gas emissions and enhancing maternal healthcare. By examining our activity clusters, global development assistance can be scrutinized for emerging themes and with increased detail, enabling the detection of uncharted spatial and temporal discrepancies. Our proposed framework may be implemented by development finance and policy institutions to facilitate the adoption of evidence-based approaches aimed at advancing the Sustainable Development Goals (SDGs).
Second part: The provision of financial resources at the global level plays a crucial role in attaining the objectives outlined in the Paris Agreement. In this study, a machine learning model was constructed to distinguish international climate finance within a dataset of 2.7 million official development assistance projects spanning the years 2000 to 2019. This process yielded a standardised and reproducible catalog containing 82,023 bilateral climate finance initiatives amounting to US$80 billion. Our results further emphasise the need to consider that the real figures might be significantly lower compared to present estimates utilising Rio markers.
Optimisation of the spray parameters for improved microstructural characteristics in the HVOF Sprayed Cr3C2-20(Ni20Cr) coating
Authors: Venkataraman Hariharan , Bagade Vishal Uttamrao , M. Biju V. , Balam SSK , Tamilselvi M 
Published: February 2025

Abstract

Wear resistance coating of Cr3C2-20(Ni20Cr) is required to be sprayed through High Velocity Oxy Fuel (HVOF) Spray Process on the compressor disc of aero gas turbine engine. The part is made up of Ti6Al4V alloy. While employing the spray parameters recommended by Original Equipment Manufacturer (OEM) for preliminary deposition trials, microstructural defects in the form of vertical cracks were observed. In order to overcome the above microstructural defects, various efforts were sequentially carried out. The initial approach of preheating the substrate at 120°C is aimed at reducing the thermal gradient between the substrate and coating which exhibited partial success. Detailed investigation involving design of experiment using Taguchi L16 Orthogonal array is employed to study the effect of certain critical parameters such as standoff distance, powder feed rate, hydrogen flow rate and Oxygen flow rate. TOPSIS method is used to establish the optimal coating parameters to achieve the crack free coating with the acceptable hardness, porosity and oxide levels. From the above studies, standoff distance 150mm, feed rate 25 g/min, hydrogen flow rate 470 NLPM and Oxygen flow rate 205 NLPM are optimised for crack free HVOF coating of Cr3C2-20(Ni20Cr) on Ti6Al4V substrate and the coating microstructure with the required hardness and the oxides & porosity levels in acceptable range is established for actual component manufacturing.
Introducing Equivalent and Threshold Doses in the Assessment of Medication-Related Osteonecrosis of the Jaw Risk: Insights from a Descriptive Study in Iran
Authors: Mozafari Pegah Mosannen , Molashahi Leila Farhad , Dadgarmoghaddam Maliheh , Kazemian Seyedeh Vajiheh , Fard Amirreza Nabavi , Sharbaf Pooria Aghasizadeh , Azghandi Sajedeh Sheikhi , Sharbaf Parham Aghasizadeh , Friesen Reid ,   Eduardo Rodrigues Fregnani1
Published: February 2025

Abstract

Purpose:
To investigate the clinical characteristics and risk factors associated with medication-related osteonecrosis of the jaw (MRONJ) and to introduce two metrics—equivalent dose and threshold dose—as predictive risk assessment tools.
Methods:
This retrospective study reviewed 193 patient records from Shahab Clinic and the Oral Medicine Department of Mashhad Dental School (2017–2023). Patients were categorized into MRONJ stages (0–3) and an "at-risk" group. Data on demographics, comorbidities, clinical presentations, and detailed medication profiles were analyzed. Equivalent dose was standardized to four years of oral alendronate use, and threshold dose provided a cumulative risk cut-off. Statistical analyses( T-tests, ANOVA, Chi-square tests,.) were applied .
Results:
MRONJ was identified in 40.4% of cases, while 59.6% were classified as at-risk. Advanced stages were significantly associated with higher equivalent doses, prolonged medication use, and key risk factors, including oncologic diseases, medication type and route of administration, comorbidities, age, and surgical interventions such as extractions and ill-fitting dentures (p < 0.001). The novel metrics demonstrated strong predictive value, with higher equivalent doses correlating closely with MRONJ severity (R = 0.46, p < 0.001)
Conclusion:
This study offers critical insights into MRONJ risk stratification, highlighting the cumulative impact of medication dose alongside clinical risk factors. The introduction of equivalent and threshold doses represents a transformative advancement in MRONJ risk prediction, enabling precise prevention strategies and guiding clinical management toward standardized care protocols.