bluuebunny/crossref_metadata_2025_split huggingface dataset:
Darazya at El Alamein: a Greco-Roman settlement against the backdrop of an important Second World War battle
Authors: Czerner Rafał , Bąkowska-Czerner Grażyna , Zambrzycki Piotr , Grzegorek Wiesław , Popławski Szymon 
Published: December 2024

Abstract
Ancient geographers and travellers of the early nineteenth and twentieth centuries described localities on the northern coast of Egypt, including the Hellenistic-Roman town ruins known today as Darazya. Impressive Second World War structures are also scattered there. Research initiated in 2021 will broaden insights into the history of the region.
Enhancing Grade XI Students' Learning Outcomes Through the Gamified Use of the Kahoot Application
Authors: Chophel Yonten 
Published: December 2024

The purpose of this study was to establish whether the Kahoot application can serve as a gamification tool that would improve the academic achievement and engagement of students. A total sample of 64 Grade XI students was selected from Daga Higher Secondary School in Dagana. This study employed a quasi-experimental design within the Action Research framework. A mixed-methods approach was used for data collection, with quantitative data collected through participant observations, pre-and post-tests, and surveys, and qualitative data gathered through semi-structured interviews. Quantitative analysis included means, standard deviations, and t-tests, whereas thematic analysis was used for qualitative data. The findings showed that there was a statistically significant difference in mean scores between the experimental and control groups at a medium to large effect size, using Cohen's d = 0.72. These findings show that the Kahoot application enhanced classroom participation and academic performance of students at a great scale, which might be an efficient pedagogical tool in high school education.
The CWA Benchmark: A Seismic Dataset from Taiwan for Seismic Research
Authors: Tang Kuan-Wei , Chen Kuan-Yu , Chen Da-Yi , Chin Tai-Lin , Hsu Ting-Yu 
Published: December 2024

Abstract
In recent years, numerous studies have employed deep learning in seismology, with data-driven neural network models increasingly becoming the norm in emerging research paradigms. Alongside advancements in model architectures, several benchmark datasets have also been introduced. However, many of these datasets suffer from imbalanced distributions, particularly a scarcity of large-magnitude events, which can impair the performance of deep learning-based models. Taiwan, situated in a seismically active region experiences a high frequency of earthquakes annually. The Central Weather Administration (CWA) in Taiwan maintains comprehensive records of these seismic events. This study introduces a benchmark dataset, named CWA, specifically compiled from this extensive database. The CWA benchmark includes 331 events with magnitudes greater than five, collected from a high-density seismic network spanning from 2011 to 2021, making it well-suited for training deep learning models. In addition, the CWA benchmark features over 40 attributes and ∼500,000 seismograms, providing valuable data labels for various seismology-related tasks.
Enhancing the Statistical Evaluation of Earthquake Forecasts—An Application to Italy
Authors: Brehmer Jonas R. , Kraus Kristof , Gneiting Tilmann , Herrmann Marcus , Marzocchi Warner 
Published: December 2024

Abstract
Testing earthquake forecasts is essential to obtain scientific information on forecasting models and sufficient credibility for societal usage. We aim to enhance the testing phase proposed by the Collaboratory for the Study of Earthquake Predictability (CSEP, Schorlemmer et al., 2018) with new statistical methods supported by mathematical theory. To demonstrate their applicability, we evaluate three short-term forecasting models that were submitted to the CSEP-Italy experiment, and two ensemble models thereof. The models produce weekly overlapping forecasts for the expected number of M4+ earthquakes in a collection of grid cells. We compare the models’ forecasts using consistent scoring functions for means or expectations, which are widely used and theoretically principled tools for forecast evaluation. We further discuss and demonstrate their connection to CSEP-style earthquake likelihood model testing, and specifically suggest an improvement of the T-test. Then, using tools from isotonic regression, we investigate forecast reliability and apply score decompositions in terms of calibration and discrimination. Our results show where and how models outperform their competitors and reveal a substantial lack of calibration for various models. The proposed methods also apply to full-distribution (e.g., catalog-based) forecasts, without requiring Poisson distributions or making any other type of parametric assumption.
Bank Liquidity and Financial Performance of Deposit Money Banks in Nigeria
Authors: E. O. Efemena , C.I. Augustine 
Published: December 2024

Due to the importance of the deposit money bank to the Nigerian Economy that liquidity level and status of this sector is not only important to the investors, the bank itself but also to the economy at large. Based on this challenge this study examines into the impact of bank liquidity on financial performance of deposit money banks in Nigeria. The secondary data was sourced from the audited financial statement of deposit money banks from 2018 to 2022. The study employed the static panel regression analysis to determine the relationship between liquidity ratio, loan-to-deposit ratio and bank size and financial performance measures. The findings from model one reveals that loan-to-deposit ratio and liquidity ratio has negative and positive significant effect on earnings per share, while loan-to-deposit ratio, liquidity ratio and bank size has negative significant effect on net interest margin. It is therefore recommended that deposit money banks should carefully manage their loan-to-deposit ratios to avoid excessive lending that could negatively impact earnings per share. Institutions should focus on improving their liquidity ratios by maintaining sufficient liquid assets to meet short-term obligations. Enhancing liquidity management practices can positively affect earnings per share, boosting overall financial performance and shareholder value. Regularly monitoring and adjusting these ratios will ensure a balanced approach to lending and liquidity, supporting sustainable growth and profitability. Additionally, financial institutions should provide ongoing training and resources to their teams to strengthen risk management and financial planning.
Financial Technology and Performance of Listed Small and Medium Scale Enterprises In Nigeria
Authors: E. O. Efemena , C.I. Augustine , M.E. Ariyibi 
Published: December 2024

Despite the unique role expected to be played by small and medium scale enterprises in every economy and Nigeria inclusive. The contribution of SME’s to economic growth and development is still retarding, which could be due to two major reasons which are intrinsic/ controllable factors and extrinsic/uncontrollable factors. This study examined the impact of financial technology on small and medium scale enterprises performance in Nigeria. The ex-post factor research design was employed. The secondary data was sourced from the audited financial statement of the small and medium scale enterprises and Central Bank Statistical Bulleting from 2019 to 2023. The ordinary least square regression was employed to determine the relationship between return on equity, sales growth and automated teller machine, web-pay, mobile money payment.
The findings reveals that automated teller machine and point-of-sale has negative significant effect on return on equity (β: -1.78; t:-0.11) and (β: -0.75; t:-0.08). Also, web-pay and point of sale has negative significant effect on sales growth at (β: -0.05; t: -0.61) and (β: -1.11; t: -0.40) while mobile money payment has positive significant effect on sales growth (β: 0.65; t: 0.30). It is therefore recommended that SME’s should consider optimizing their electronic payment systems, focusing on cost-reduction strategies and enhancing the efficiency of ATM, web pay, and POS channels. Additionally, exploring alternative payment solutions or investing in technology upgrades to streamline transaction processes may mitigate the negative impact on profitability, helping firms to better align these systems with their financial objectives.
Skrzynie biegów (przekładnie) i oleje przekładniowe stosowane w pojazdach elektrycznych
Authors:   Instytut Nafty i Gazu – Państwowy Instytut Badawczy, Sacha Dariusz , Skibińska Agnieszka ,   Instytut Nafty i Gazu – Państwowy Instytut Badawczy, Żółty Magdalena ,   Instytut Nafty i Gazu – Państwowy Instytut Badawczy, Barglik Ewa ,   Instytut Nafty i Gazu – Państwowy Instytut Badawczy
Published: December 2024

Koncepcja pojazdów elektrycznych pojawiła się po raz pierwszy na początku XIX wieku. Wtedy również powstały pierwsze pojazdy elektryczne, ale z uwagi na brak akumulatorów o wysokiej pojemności zaprzestano rozwoju tej koncepcji. Zastosowano ją jedynie w pojazdach szynowych i trolejbusach. Po prawie stuletniej przerwie, pod koniec XX wieku, powrócono do koncepcji pojazdów elektrycznych. Konstruktorzy pojazdów samochodowych wykorzystali znaczny postęp technologiczny w budowie akumulatorów, jaki nastąpił w XX wieku jako odpowiedź na potrzeby zmieniającego się świata. Postęp ten wymusił proekologiczne działania minimalizujące wpływ różnego rodzaju pojazdów samochodowych na środowisko naturalne, w następstwie czego opracowano różne koncepcje układów napędowych. Konstruktorzy zaproponowali szereg rozwiązań elektrycznych, elektryczno-spalinowych i innych, których zastosowanie zdecydowanie zmniejsza zużycie paliw pochodzących ze źródeł nieodnawialnych. W porównaniu z pojazdami z klasycznym (spalinowym) układem napędowym, pojazdy elektryczne są zdecydowanie bardziej ekologiczne i cechują się wieloma zaletami. Jedną z głównych jest znacznie wyższa efektywność zmiany energii w ruch obrotowy kół. Przenoszenie momentu obrotowego z silnika elektrycznego na koła pojazdu odbywa się z reguły za pomocą jednostopniowej przekładni lub skrzyni biegów. Zadaniem przekładni jest nie tylko przeniesienie ruchu, ale także zmiana jego parametrów. Odpowiednio dopasowana przekładnia, z właściwie dobranymi przełożeniami, jak również sposób ich zmiany mają znaczący wpływ na optymalne wykorzystanie siły napędowej silnika. W artykule opisano rodzaje stosowanych w pojazdach elektrycznych przekładni mechanicznych i olejów przekładniowych.
A COMBINATION TECHNIQUE OF AUTOLOGOUS AUGMENTATION AND BREAST LIFTING IN HYPOPLASTIC-THIRD GRADE PTOTIC BREAST: A CASE REPORT
Authors: Beta Subakti Nataatmadja  , Amatullah Nida' Fahima , Lumintang Loelita Marcelia 
Published: December 2024

Highlights:

This case shows autoaugmented mastopexy as a natural alternative to silicone implants for patients seeking breast enhancement.
The combination of breast lift and autoaugmentation using the patient’s own tissue is presented as an effective method for achieving a firmer breast appearance while maintaining a natural look.

The use of tailored preoperative design, including breast ultrasound, enhances surgical safety and outcomes.

Abstract:
Introduction: Breast ptosis is a common concern among women due to factors such as aging, pregnancy, breastfeeding, and weight loss. To achieve a beautiful breast shape, mastopexy (breast lift) with augmentation is often required. This case report highlights the relevance of the chosen augmentation method in addressing ptosis.
Case Illustration: A 30-year-old woman had breast ptosis after her 2nd child and wanted a breast lift to have lifted and firmer breasts. Due to limited fat tissue available for transfer and her refusal to use silicone implants, the patient chose autoaugmented mastopexy. Before surgery in August 2022, breast ultrasound showed abnormalities. Preoperative design was made to determine skin and pedicle positions, using a wise pattern with a superior pedicle to lift the nipple-areola complex (NAC) and an inferior pedicle for autoaugmentation. Surgery was done carefully to achieve symmetry and desired result.
Discussion: Breast tissue changes a lot during and after pregnancy and hormonal factors increases the risk of ptosis. According to Regnault classification, the patient was classified as 3rd degree ptosis. While prosthetic implants are common in breast surgery, the patient declined that option. Autoaugmented mastopexy offers a more natural result without the risks of implants.
Conclusion: Breast lift with autoaugmentation is suitable for patients with breast ptosis seeking a firmer appearance without added volume. This technique utilizes the patient's own tissue to achieve satisfactory results, although outcomes may vary depending on individual factors.
PbSQE3 and PbSQE6 regulates the formation of triterpenoid compounds in the russet mutant of ‘Dangshansuli’ pear
Authors: Ye Zhenfeng , Yao Daozhi , Liu Qi , Chen Lingxia , Dou Lindong , Yu Jinhui , Deng Jie , Wu Zixiao , Cao Li , Liu Li , Heng Wei 
Published: December 2024

Abstract

The outer layer of russet pear fruit skin is coated with suberin, a key protective barrier that deters pests and minimizes water loss, making it an important trait for fruit cultivation. This study investigates the mechanisms underlying russet formation in the pear exocarp, focusing on the ‘Dangshansuli’ with yellow-green skin and its russeted mutant ‘Dangshanjinsu’ through proteomic analysis. The results revealed numerous differentially expressed proteins associated with the phenylpropanoid biosynthesis pathway, suberin and wax synthesis pathways, and sesquiterpenoid and triterpenoid synthesis pathways. Specifically, six PbSQE genes, encoding squalene epoxidases involved in triterpenoid synthesis, showed distinct expression patterns in the exocarp of ‘Dangshansuli’ and ‘Dangshanjinsu’ during fruit development. Overexpression of PbSQE3 and PbSQE6 in transgenic Arabidopsis significantly increased triterpenoid compounds, including ursolic acid, oleanolic acid, α-amyrin, and β-amyrin. These findings highlight the roles of PbSQE3 and PbSQE6 in triterpenoid biosynthesis and suggest they contribute to the downregulation of suberin deposition in the russet pear exocarp.
Benefits of Targeted Deployment of Physician-led Interprofessional Prehospital Teams On The Care of Critically Ill and Injured Patients: A systematic review and meta- analysis
Authors: Lavery Matthew D. , Arshbir Aulakh , Christian Michael D. 
Published: December 2024

Abstract

Introduction
Over the past three decades, more advanced pre-hospital systems have increasingly integrated physicians into targeted roles, forming interprofessional teams. These teams focus on providing early senior decision-making and advanced interventions while also ensuring rapid transport to hospitals based on individual patient needs. This paper aims to evaluate the benefits of an inter-professional care model compared to a model where care is delivered solely by paramedics.
Methodology.
A meta-analysis and systematic review were conducted using the guidelines of PRISMA 2020. Articles were identified through a systematic search of three databases and snowballing references. A systematic review was conducted of articles that met the inclusion criteria, and a suitable subset was included in a meta-analysis. The survival and mortality outcomes from the studies were then pooled using the statistical software Review Manager (RevMan) Version 8.2.0. Results
Two thousand two hundred ninety-six articles were found from the online databases and 86 from other sources. However, only 23 articles met the inclusion criteria of our study. A pooled analysis of the outcomes reported in these studies indicated that the mortality risk was significantly reduced in patients who received pre-hospital care from interprofessional teams led by physicians compared with those who received care from paramedics alone (AOR 0.80; 95% CI [0.68, 0.91] p = 0.07). The survival rate of critically ill or injured patients who received pre-hospital care from interprofessional teams led by physicians was increased compared to those who received care from paramedics alone (AOR 1.49; 95% CI [1.31, 1.69] P<0.00001).
Conclusions
The results of our analysis indicate that the targeted deployment of interprofessional teams led by physicians in the pre-hospital care of critically ill or injured patients improves patient outcomes.
A Fused Power Spectrum based Feature Selection to Identify Schizophrenia from EEG Signals using Deep Learning Models - An Experimental Study
Authors: Majumder Surya , Bandopadhyay Saikat , Saha Sujay , Ghosh Anupam 
Published: December 2024

Abstract

The brain, a complex and important organ in the human body, is crucial for all our body processes. For the diagnosis and ongoing monitoring of a wide spectrum of brain disorders, accurate and early detection of the proper disorder from neurophysiological monitoring methods is essential. The importance of identification of disorders like Schizophrenia in clinical practice is examined in this research, along with the difficulties in attaining accurate results, particularly when working with small structures and precise details. A novel pre-processing methodology in this stream has been implemented for further feature and knowledge extraction and subsequent image generation. With their ability to automatically extract pertinent features from input images, CNN has made a significant advancement in the domain of image classification.This study presents and investigates in details the effect of our pre-processing on various well-known CNN based architectures. Various models like DenseNet, ResNet, MobileNet, NasNet, EfficientNet and ConvNext families along with Xception, InceptionV3 and InceptionResNetV2 models have been taken into consideration. These models have become optimal approaches to various classification tasks, each providing certain benefits and addressing particular difficulties. We have conducted this research on EEG data from a standard dataset, namely, IBIB PAN - Department of Methods of Brain Imaging and Functional Research of Nervous System dataset. This study presents a thorough review of the performance of different CNN based models and their variants on our preprocessed and generated images. On comparison with state-of-the-art results we have observed that using this approach, almost all our models have exceeded the same. Medical professionals and researchers can use the outcomes of these techniques for better diagnosis and treatment planning in the field of brain disorders. Our codes will be made available at: \href{https://github.com/SuryaMajumder/Brain-EEG-Signal-Analysis---Experimental-Study}{[Link]}
Fenestrated Membrane of the Left Atrial Appendage Orifice; An incidental finding of rare congenital anomaly
Authors: Keihanian Faeze , Bigdelu Leila 
Published: December 2024

Abstract

Membrane of the left atrial appendage (LAA) is a rare congenital anomaly, which is reported in few cases, to date. Here, we reported an incidental finding of LAA obstructive membrane in patients with previous history of cerebrovascular event and newly diagnosed rheumatismal mitral stenosis (MS) in echocardiography.
Synthesis and Characterization of CQDs from Carbon Soot of Almond Oil and It's Hierarchical Arrangement in 6CHBT LC media: Role of Functionalization
Authors: Mishra Manish Kumar , Singh Satya Pal 
Published: December 2024

Abstract

We have synthesized carbon quantum dots (CQDs) from the carbon soot of almond oil deposited on copper metal surface. We have functionalized CQDs using 2,5-Dimercapto-1,3,4-Thiadiazole (DMTD), and have explored the integration of functionalized CQDs in 6CHBT LC media. Our primary objective is to investigate the effect of functionalized CQDs on the organizational behavior and the opto-electronic properties of the hybrid systems. We perform comprehensive characterizations such as FTIR (Fourier transform infrared spectroscopy), SEM (Scanning electron microscopy), OM (Optical microscopy), HR-XRD, UV-Vis-Nir, SERS and Fluorescence spectroscopy to explore the nano-micro scale hierarchical structures composed of CQDs owing to their self-assembly in presence of 6CHBT molecules. Our findings may pave the path for the development of novel integrated materials by tailoring opto-electronic properties. We have highlighted the role of surface plasmons by characterizing for surface enhanced Raman spectroscopy.
Is there a role for structural MRI in PCNSL follow-up?
Authors: Puhakka Inka K. , Sunela Kaisa L. , Rönkä Aino L. , Rajamäki Aino M. , Arkko Ulla-Mari , Klaavuniemi Tuula M. , Kuusisto-Jauhiainen Milla , Jäkälä Pekka A. , Selander Tuomas A. , Kuitunen Hanne K. , Kantanen Anne-Mari , Kuittinen Outi M. 
Published: December 2024

Abstract

Background
The optimal follow-up protocol for primary central nervous system lymphoma (PCNSL) is unclear. This is the first study to evaluate the benefit of structured follow-up imaging of PCNSL with respect to the timing of relapse.
Methods
A total of 198 PCNSL patients (57.1% males) diagnosed between 2003 and 2020 were included. The data were collected retrospectively from 8 hospitals in Finland. Relapse detection details included structured follow-up imaging (sMRI) studies, additional imaging (aMRI) studies based on patients’ new symptoms, and all outpatient and emergency visits. Overall survival (OS) with respect to the relapse detection method, sMRI versus aMRI, was also evaluated.
Results
Relapse was diagnosed in 71 patients (35.9%), 66.1% of whom experienced relapse during the first 2 years after diagnosis. During the first year, 48.3% (14/29) of the relapses were detected via sMRI, and 51.7% (15/29) via aMRI. During the second year, the percentages were 33.3% and 66.7%, respectively. More than 5 years after the diagnosis, all the relapses were detected via aMRI. To observe one relapse during the first year, 9.4 sMRI studies were needed. Overall survival after relapse (OS2) was 4.0 months for the patients whose first relapse was detected via sMRI and 3.0 months for those whose first relapse was detected via aMRI (P = 0.203).
Conclusions
We found that structured imaging was beneficial for relapse detection during the first year after PCNSL diagnosis. A minor trend towards better survival after relapse was observed for patients who experienced relapse according to structured imaging.
Focal adhesion kinase promotes aerobic glycolysis in hepatic stellate cells via the cyclin D1/c-Myc/MCT-1 pathway to induce liver fibrosis
Authors: Huang Tao , Zhou Ming-Yu , Zou Gao-Liang , Hu Rui-Han , Han Lu , Zhang Qing-Xiu , Zhao Xue-Ke 
Published: December 2024

Abstract

Background
Hepatic stellate cells (HSCs) transdifferentiate into myofibroblasts during liver fibrosis and exhibit increased glycolysis. Phosphorylated focal adhesion kinase (FAK) (pY397-FAK) promotes monocarboxylate transporter 1 (MCT-1) expression in HSCs to increase aerobic glycolysis and cause liver fibrosis.
Methods
A combined multiomics analysis of C57BL/6 mice with tetrachloromethane (CCl4)-induced liver fibrosis was performed to identify the downstream FAK signaling pathway. The effect of the FAK inhibitor PF562271 on CCl4-induced liver fibrosis was explored by immunofluorescence of liver tissues. The migration, proliferation and aerobic glycolysis of LX-2 cells after stimulation and activation by transforming growth factor beta-1 (TGF-β1) or suppression by PF562271 was assessed in vitro.
Results
Multiomics analysis of a successfully generated CCl4-induced liver fibrosis mouse model was performed. FAK and cyclin D1 were significantly enriched in mice with CCl4-induced liver fibrosis. In vivo, the MCT-1 and alpha smooth muscle actin (α-SMA) levels were increased in mice with CCl4-induced liver fibrosis, and MCT-1 and α-SMA expression decreased after PF562271 treatment. In vitro, PF562271 alleviated TGF-β1-induced LX-2 activation. LX-2 cells showed diminished migration, proliferation, and aerobic glycolysis after PF562271 intervention.
Conclusion
FAK promotes aerobic glycolysis in LX-2 cells through the cyclin D1/c-Myc/MCT-1 pathway, thereby increasing liver fibrosis.