bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Bandpass Filter Method on Single Channel 2D Seismic Data in Krakatau Waters
Authors: Simanungkalit Fredrich , Manik Henry , Ramdhani Haqqu 
Published: February 2025

ABSTRAKSeismik menjadi salah satu metode yang menggunakan akustik kelautan untuk mengetahui struktur di bawah permukaan laut. Penampang seismik hasil akuisisi data biasanya terdapat noise yang merupakan gelombang atau sinyal yang tidak dikehendaki dan harus dibuang dari data utama. Untuk mengidentifikasi noise pada data seismik tersebut, dalam penelitian ini digunakan fungsi FFT atau Fast Fourier Transform. Penelitian ini bertujuan untuk memisahkan sinyal akustik objek dan noise pada data seismik dengan menggunakan fungsi FFT dan metode Bandpass Filter pada data SeismicSingle Channel 2D di Perairan Krakatau. Akuisisi data seismik yang digunakan pada penelitian ini menggunakan peralatan single-channel high resolution Seismic berupa EGG Multi Electrode Sparker dan hidrofon 16 elemen merek EGG sebagai receiver. Pengolahan data seismik dalam bentuk .segy pada penelitian ini menggunakan perangkat lunak Seisee dan Matlab. Frekuensi tepi optimal pada penelitian ini berkisar antara 7 Hz hingga 29 Hz, dan frekuensi 2400 Hz untuk tepi atas. Frekuensi cut-off optimal bergantung pada nilai frekuensi pada tiap trace dengan nilai frekuensi cut-off bawah menggunakan frekuensi pada kisaran 200 Hz hingga 400 Hz dan nilai frekuensi cut-off atas menggunakan frekuensi 1500 Hz. Kata kunci: Bandpass Filter, FFT, Frekuensi, Noise, Seismik.ABSTRACTSeismic is one method that uses marine acoustics principle to determine the structure below the sea surface. Seismic cross-sections resulting from data acquisition usually contain noise which is an unwanted wave or signal and must be removed from the main data. To identify noise in the seismic data, this study used the Fast Fourier Transform. This study aimed to separate the object's acoustic signal and noise in seismic data by using the FFT function and Bandpass Filter method on single channel 2D seismic data in Krakatau waters. Seismic data acquisition used in this study was a single-channel high resolution seismic form of EGG Multi Electrode Sparker and EGG 16 elements hydrophone as receiver. Seismic data processing in the form of *.segy in this study were Seisee and Matlab software. The optimal edge frequency in this study ranges from 7 Hz to 29 Hz, and the frequency was 2400 Hz for the top edge. The optimal cut-off frequency depends on the frequency value in each trace, with the lower cut-off frequency value using a frequency in the range of 200 Hz to 400 Hz and the upper cut-off frequency value using a frequency of 1500 Hz.Keywords: Bandpass Filter, FFT, Frequency, Noise, Seismic
Pemetaan Habitat Bentik Berbasis Objek Menggunakan Drone Di Perairan Pulau Gili Labak, Sumenep
Authors: Nugroho Adhitya , Nababan Bisma , Panjaitan James Parlindungan , Agus Syamsul Bahri 
Published: February 2025

ABSTRAKPemetaan habitat bentik menggunakan drone memiliki kendala terkait kodisi cuaca dan lingkungan, seperti kecepatan angin dan sun glint yang dapat mengganggu pengambilan gambar dan klasifikasi gambar. Penelitian ini bertujuan untuk mengetahui sudut sensor drone yang optimal, waktu penerbangan drone terbaik di lokasi penelitian, serta mengetahui tingkat akurasi algoritma support vector machine menggunakan metode OBIA. Penelitian ini dilaksanakan di perairan Pulau Gili Labak pada bulan Oktober 2022 menggunakan drone DJI Phantom 4. Penelitian ini menerapkan dua sudut sensor 45° dan 90° serta waktu pengambilan pukul 08:00; 09:30; 13:15; 14:45. Klasifikasi citra drone menggunakan metode OBIA menggunkan metode contextual editing pada level 1 (perairan dangkal). Level 2 menggunakan klasifikasi terbimbing menggunakan algoritma klasifikasi machine learning yaitu support vector machine (SVM) dengan input themathic layer dari data lapangan. Klasifikasi habitat bentik dilakukan pada 6 kelas dengan penerapan skala segmentasi 25, 50, 70, 100. Berdasarkan hasil pengambilan gambar waktu terbaik menerbangkan drone pada pukul 13:15 menggunakan sudut sensor 90º dilokasi penelitian, diperoleh nilai overall accuracy sebesar 84.06% serta nilai kappa 0.78656 pada skala segmentasi 50 dengan algoritma support vector machine.Kata kunci: pemetaan, habitat bentik, OBIA, drone, Pulau Gili LabakABSTRACTBenthic habitat mapping using drones has constraints related to weather and environmental conditions, such as wind speed and sun glint that can interfere with image capture and image classification. This study aims to determine the optimal drone sensor angle, the best drone flight time at the research location, and determine the accuracy of the support vector machine algorithm using the OBIA method. This research was conducted in the waters of Gili Labak Island in October 2022 using a DJI Phantom 4 drone. This research applied two sensor angles of 45° and 90° and the capture time at 08:00; 09:30; 13:15; 14:45. Classification of drone imagery using the OBIA method utilizes contextual editing at level 1 (shallow water). Level 2 uses guided classification using a machine learning classification algorithm, namely support vector machine (SVM) with themathic layer input from field data. Benthic habitat classification was performed on 6 classes with the application of segmentation scales of 25, 50, 70, 100. Based on the results of taking pictures of the best time to fly the drone at 13:15 using a 90º sensor angle at the research location, an overall accuracy value of 84.06% was obtained and a kappa value of 0.78656 on a segmentation scale of 50 with the support vector machine algorithm. Keywords: Mapping, Benthic Habitats, OBIA, Gili Labak Island
Aggregation Behavior of Asphaltenes in Heavy Oil and Its Influencing Factors: A Multiscale Study Based on Molecular Dynamics Simulations and Quantum Chemical Calculations
Authors: Han Yuxiao , Fu Jian , Deng Shuyuan , Zhang Cenqian , Wang Bo , Gao Jie , Zhang Fan , She Yuehui 
Published: February 2025

Summary
Asphaltenes and resins are important and complex components of heavy oils, and their self-aggregation behavior has a profound effect on the oil and gas industry. In this study, based on three classical molecular models of asphaltenes, the aggregation laws of asphaltenes with different structures and their influencing factors were investigated using molecular dynamics (MD) simulations and quantum chemical calculations. By analyzing the equilibrium conformations, interaction energy, radial distribution functions (RDFs), mean square displacements (MSDs), diffusion coefficients, cluster analyses, radii of gyration, electrostatic potentials, and nonbonding interactions, we found that archipelago-type asphaltenes have the strongest interactions, the highest probability of occurrence, and the best stability. In contrast, continental asphaltenes have the strongest diffusion ability in the heavy oil model. Quantum chemical calculations show that the asphaltene association is mainly driven by van der Waals forces initiated by the aromatic core and electrostatic attraction around the heteroatoms, whereas the aggregation behavior is influenced by a variety of factors, such as intermolecular van der Waals forces, hydrogen bonding, and π-π interactions. In addition, external conditions, such as temperature and pressure, considerably affect the aggregation behavior of asphaltenes. This study provides a theoretical basis for exploring the viscosity mechanism of heavy oils and scientific support for the efficient development of oil and gas fields.
The Effect of Gender on Stress Coping Strategies in University Students
Authors: Adams Sherifdeen 
Published: February 2025

Abstract

Introduction: Over the past years, stress among university students has always remained a subject of attention for academics since it affects not only their academic performance but also their physical and psychological fitness. Male and female students observe and respond to stressors inversely as a result of their dissimilarities in assessing stressful circumstances.
Aims: The study sought to examine the effect of gender on stress-coping strategies in university students.
Methods: The study adopted a cross-sectional design. The Stress Coping Inventory Style (SCSI) was used to ascertain the type of coping strategies used by students when confronted with academic stress. A total of twenty-eight (28) questions were administered to ninety (90) students at the University of South Wales. Data were analyzed using SPSS, with results presented using the Multivariate Analysis of Variance (MANOVA) to determine the statistical significance difference between variables and the level of analysis in this study was the individual given that groups were being compared based on gender. Statistical significance was set at 0.05, with 95% confidence intervals assessed.
Results: The study found that there was a statistical difference between females and males on stress coping strategies. “F(4,85) = 2.63, p=0.04; Wilks’ λ = 0.890”.
Conclusion: Gender has a significant effect on stress-coping strategies in university students.
JTC801 regresses uveal melanoma progression through novel methuosis-like cell death via lysosomal dysfunction
Authors: Liu Qiuyan , Huang Mingyan , Ji Xinpei , Zhu Ha , Chang Wenjun , Shen Hao , Yu Yizhi 
Published: February 2025

Abstract

Uveal melanoma (UM) is the most frequent primary intraocular malignancy in adults with high metastasis and mortality rate, whose effective therapeutic strategy is still in urgent need. Specifically, apoptosis-resistance is a great challenge for advanced UM patients, therefore novel therapeutic options targeting otherwise death modality, which may potentially enhance treatment effect, need to be further identified. Here, by a kinase inhibitor library of 113 approved drugs screening, JTC801, a selective antagonist of nociceptin receptor (NOP), exhibits a specifically strong tumor-killing ability in a lower dosage. JTC801 induces UM cell methuosis-like death characterized by cytoplasmic vacuolization, markedly regresses tumor progression and metastasis, prolongs the survival in multiple UM tumor models without apparent adverse effects. Mechanistically, JTC801-caused nutrient-deficient stress by mitochondrial damage which triggers macropinocytosis and cytoplasmic vacuolization in UM cells. Concomitantly, JTC801 is trapped into the macropinosomes that fuse with lysosomes, further causing lysosomal over-acidification, de-glycosylation of lysosomal associated membrane protein 1(LAMP1), inhibiting cathepsinsmaturation, and exacerbating lysosomal membrane permeabilization (LMP), eventually inducing UM cell methuosis-like death. Collectively, our findings identify JTC801 as a potential valuable antitumor drug especially for apoptosis-resistant advanced UM patients, and provide insight into the distinct tumor cytotoxicity role of JTC801 in UM treatment.
Results of a Pilot Trial of Infusion Rate Escalation During Convection Enhanced Delivery of Topotecan with a Multiport Catheter
Authors: Liu James K. C. , Tran Nam , Piteo Cecily , Peinhardt Alisa , Vogelbaum Michael A. 
Published: February 2025

Abstract

Purpose: Volume of distribution (Vd) during convection enhanced delivery is impacted by the physical characteristics of the tissue being treated. For Glioblastoma (GBM), Vd is substantially higher in non-contrast enhancing tumor than in contrast enhancing tumor due to higher infusate efflux in enhancing tumor. We hypothesized that increasing the infusion rate could overcome the infusate efflux rate in enhancing tumor to improve the Vd to volume of infusion (Vi) ratio and provide better tumor coverage.
Methods: A single center, IRB-approved pilot study was conducted to perform rate escalated delivery of Topotecan with Gadolinium-DTPA to contrast-enhancing recurrent high-grade glioma. A single Cleveland Multiport Catheter was surgically placed into enhancing tumor and then a 4-hour infusion was performed with real-time MRI visualization. Intra- and inter-patient rate escalation was performed.
Results: Three patients with rGBM were enrolled and treated. The initial infusion rate for patient 1 was 5 microliters/minute per microcatheter (4 total) and the final infusion rate for the third patient was 20 microliters/minute per microcatheter. We observed partial backflow at this rate and so did not escalate higher. There was coverage of both enhancing and non-enhancing tumor in all cases, and the Vd/Vi ratio ranged from 0.7 to 1.3. Patients tolerated the treatments well; there were no CTCAE Grade 3 or higher treatment related adverse events. The higher efflux rate associate with contrast-enhancing tumor tissue can be overcome with sufficient infusion rate escalation.
Conclusion: Increasing the rate of infusion can allow for larger volume of distribution into enhancing tumor tissue.
Adaptation of a neutron radiography instrument for live cell irradiation
Authors: Howell Nicholas , Sierro Frederic , Jarrah Raya , Dobie Christopher , Bevitt Joseph J. , Garbe Ulf , Jakubowski Klaudiusz , Safavi-Naeini Mitra 
Published: February 2025

Abstract

Neutron Capture Therapy (NCT) for cancer treatment is experiencing renewed interest due to advancements in accelerator-based neutron beams, treatment planning software, and patient positioning devices. This study presents the repurposing of an existing neutron radiography beamline (Dingo), at the OPAL research nuclear reactor, for radiobiological research and novel NCT development. Human glioblastoma cell cultures were irradiated for up to 10 mins with a flux of 2.57x108 n/cm2⋅s (± 2.73x107) and the resulting impact was quantified by assessing DNA damage by both immunocytochemistry and flow cytometry. This low cost methodology extends the capability of an existing beamline to allow the development of novel neutron capture agents and study of neutron radiobiological mechanisms. Increasing availability of neutron sources for biological study in this fashion will accelerate the development of NCT for disease specific clinical application.
A Reconfigurable Piezo-Ionotropic Polymer Membrane for Sustainable Multi-Resonance Acoustic Sensing
Authors: Kim Do Hwan , Ying Wu Bin , Kim Joo Sung , YU zhe , Kong Zhengyang , Boahen Elvis K. , Li Fenglong , Chen Chao , Tian Ying , Choi Hanbin , Lee Jung-Yong , Zhu Jin 
Published: February 2025

Abstract

Sensorineural hearing loss is the most common form of deafness, typically resulting from the loss of sensory cells on the basilar membrane, which cannot regenerate and thus lose sensitivity to sound vibrations. Here, we report a reconfigurable piezo-ionotropic polymer membrane engineered for biomimetic sustainable multi-resonance acoustic sensing, offering exceptional sensitivity (530 kPa⁻¹) and broadband frequency discrimination (20 to 3300 Hz) while remaining resistant to "dying." The acoustic sensing capability is driven by an ion hitching-in cage effect intrinsic to the ion gel combined with fluorinated polyurethane. In this platform, the engineered ionotropic polymer stretches under acoustic vibrations, allowing cations to penetrate the widened hard segments and engage in strong ion-dipole interactions (cation···F), thereby restricting ion flux and amplifying impedance changes. Additionally, the sensor’s sustainability is ensured through its self-healing properties and hydrophobic components, which enable effective self-repair in both conventional and aqueous environments without ion leakage, achieving a room-temperature healing speed of 0.3–0.4 µm/min. Leveraging this newly developed sustainable acoustic sensing technology, our devices demonstrate high proficiency in identifying specific sounds in everyday environments (e.g., human voices, piano notes), underscoring their potential as artificial basilar membranes.
The effect of circulating proteins and their role in mediating adiposity’s effect on endometrioid and non-endometrioid endometrial cancer risk: Mendelian randomisation and colocalization analyses
Authors: Wang Sabrina E , Tan Vanessa Y , Yarmolinsky James , Zheng Yadi , O’Mara Tracy A , Timpson Nicholas J , Gunter Marc J , Dossus Laure , Lee Matthew A 
Published: February 2025

Abstract

Background: Proteomics could enhance our understanding of endometrial carcinogenesis. However, addressing confounding in traditional observational studies remains challenging, especially given the strong impact of adiposity on the plasma proteome and endometrial cancer risk. The role of circulating proteins in mediating adiposity’s effect on endometrial cancer risk is also not fully elucidated.
Methods: Using Mendelian randomization (MR) and colocalization analyses, we examined the causal association between 2,751 unique proteins from UK Biobank (N Olink proteins=2,031; N=52,363) and deCODE (N SomaScan proteins=1,667; N=35,559) and endometrial cancer risk [overall (N cases=12,270; N controls=46,126), endometrioid (N cases=8,758), and non-endometrioid (N cases=1,230) in the meta-analysed Endometrial Cancer Association Consortium and Epidemiology of Endometrial Cancer Consortium data]. We performed enrichment analyses to explore pathways overrepresented among plasma proteins in endometrioid and non-endometrioid cancer subtypes. Additionally, we assessed the role of circulating proteins in mediating the effect of body mass index (BMI) on endometrial cancer risk using univariable and multivariable MR.
Results: We identified 20 associations between circulating proteins and endometrial cancer risk in MR and colocalization analyses. GSTO1-1 and SKAP1 were positively associated and MMP10 was negatively associated with both overall and endometrioid endometrial cancer; DTYMK and ABO were positively associated and TSSC4 was negatively associated with overall endometrial cancer; IGF2R was positively associated with endometrioid cancer; MAPK9 was positively associated and DNAJB14, IFI16, LCN2, and SCT were negatively associated with non-endometrioid endometrial cancer. Distinct pathways were overrepresented in endometrioid (e.g., PDGF signalling and PTEN gene regulation) and non-endometrioid (e.g., non-canonical NF-kB signalling) cancer subtypes. GSTO1-1 and IGF2R were identified as potential mediators for the effect of BMI on endometrioid cancer risk in univariable MR, but evidence for mediation was not observed in multivariable MR analyses.
Conclusions: We observed distinct plasma proteins and pathways associated with endometrioid and non-endometrioid endometrial cancers. These findings highlight candidate proteins for further mechanistic investigations, which could support the development of non-invasive methods to differentiate endometrial cancer subtypes and guide clinical intervention strategies. There was limited evidence that the effect of adiposity on endometrial cancer risk was mediated by circulating proteins examined in our study.
In vivo testing of the Pressio intracranial pressure monitor: the EPIC study
Authors: GERGELE Laurent , Mallard Jérémy , Magand Clément , Lagarde Kevin , Chabanne Russel , Morel Jérôme , Payen Jean François , Launey Yoann 
Published: February 2025

Abstract

Objective Measuring reliable intracranial pressure (ICP) is critical for patients with acute brain injuries. The aim of this study was to evaluate zero-drift of the intra-parenchymal strain gauge Pressio transducer (Sophysa, Orsay, France) in clinical conditions.Methods A prospective, observational multicentre study was conducted in 4 French intensive care units (ICU) of university hospitals. Patients with acute brain injuries were included if they needed ICP measurement using the Pressio transducer. The zero drift was measured at explanation of the sensor. ICP-related adverse events were also collected.Results Between 01/01/2018 and 31/03/2020, 235 patients were included in this study for a monitoring time of 2180 days. The zero-drift assessment was determined in 223 transducers (95%). The median duration of ICP monitoring was 8 days (interquartile [IQR] 4 to 13 days). The median zero drift was 1 mmHg (IQR 1 to 3) and a weak correlation was observed between the duration of ICP monitoring and zero drift (⍴=0.141; P = 0.0357), which lacks clinical significance. Zero drifts higher than 5 mmHg were found in 10% of transducers. Four patients (1.8%) had ICP-related hematomas, with no clinical impact, and none had ICP-related brain infection. Failures or technical dysfunctions of the monitoring were found in 6 patients (2.6%).Conclusion The Pressio catheter from the Sophysa system exhibited a minor zero drift after a median monitoring period of 8 days. This transducer's performance was comparable to that of other intracranial pressure devices utilizing strain gauge technology.
Utilizing X-ray radiography for non-destructive assessment of paddy rice grain quality traits
Authors: Tharanya Murugesan , Chakraborty Debarati , Pandravada Anand , Babu Raman , Gangashetti Mahantesh , Paidi Swapna , Choudhary Sunita , Sivasakthi Kaliamoorthy , Anbazhagan Krithika , Vaditandra Bhavani , Waininger Michael , Weule Mareike , Hufnagel Eva , Claußen Joelle , Wittenberg Thomas , Vaněk Jiří , Kholova Jana , Gerth Stefan 
Published: February 2025

Abstract

Background
Agricultural systems are under extreme pressure to meet the global food demand, hence necessitating faster crop improvement. Rapid evaluation of the crops using novel imaging technologies coupled with robust image analysis could accelerate these improvements. This study assesses the potential of X-ray imaging for non-destructive evaluation of rice grain traits. By analyzing 2D X-ray images of paddy grains, we aim to approximate their key physical grain traits important in rice breeding: (1) T1 chaffiness, (2) T2 chalky rice kernel percentage (CRK%), and (3) T3 head rice recovery percentage (HRR%). Successful integration of X-ray imaging and data analysis into the breeding process could prospectively revolutionize rice breeding and improve global agricultural productivity.
Results
The study aimed to predict the key rice traits (chaffiness, CRK%, HRR%) using 2D radiographs obtained from high resolution X-ray imaging systems. The accuracy of trait inference algorithms was evaluated by comparing the predicted values with ground-truth measurements. We showed that all three traits can be predicted with reasonable accuracy (chaffiness: R2 = 0.9987, RMSE = 1.302; CRK%: R2 = 0.9397, RMSE = 8.91; HRR%: R2 = 0.7613, RMSE = 6.83).
Conclusions
Our study demonstrated that multiple key physical grain traits important in rice breeding (chaffiness, CRK%, and HRR%) can be inferred from single 2D X-ray images of whole paddy grains. Such a non-destructive rice grain trait inference is expected to improve the robustness of paddy rice evaluation, as well as to reduce time and possibly costs for rice grain trait analysis. Furthermore, the described approach can also be transferred and adapted to other grain crops.