Regional Variations in Stillbirth and Relation Between Extramarital Birth and Stillbirth in Bulgaria by Dima Tsanova, Toni Vekov

“…This report aims to investigateand conduct a comparative analysis of indicators of stillbirth and extramarital births in Bulgaria for a 15-year period. The data was derived from the National Statistical Institute (NSI) and Eurostat and statistically processed with Statistical Package for Social Science version 24.0 (SPSS v.24.0). …”
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Numerical Simulation of Phase Change Cold Storage Heat Exchanger for Liquid Hydrogen Cold Chain Logistics Vehicle by ZU Binjie, LIAO Quan, GAN Junyi

“…The influence of parameters such as hydrogen mass flow rate, hydrogen inlet absolute pressure, mass flow rate of secondary refrigerant and inlet temperature of secondary refrigerant on the outlet temperature of secondary refrigerant and the solidification quality of phase change cold storage in heat exchanger was obtained. …”
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Refocus on stopping! Replication of reduced right amygdala reactivity to negative, visual primes during inhibition of motor responses by Miriam Kampa, Alexandra Sebastian, Oliver Tüscher, Rudolf Stark, Tim Klucken

“…Several practices contribute to low replication rates in neuroimaging; unreported analytical flexibility, publication biases, the lack of data sharing, the use of underpowered samples, and many more. …”
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A 128×128 Electronically Multi-Foveated Dynamic Vision Sensor With Real-Time Resolution Reconfiguration by Farnaz Faramarzi, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…The ability to dynamically adjust spatial resolution reduces noise event rates, enhances sensitivity, and lowers both data bandwidth and processing requirements. …”
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Estimation of Parameters of Finite Mixture of Rayleigh Distribution by the Expectation-Maximization Algorithm by Noor Mohammed, Fadhaa Ali

“…In the lifetime process in some systems, most data cannot belong to one single population. …”
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"Till Death Do us Part”. Analysis of the Marital Relationships in the 21st Century by Ilaria Di Tullio, Gabriella D'Ambrosio

“…For this reason, this descriptive study, supported by secondary statistical data, aims at analyzing both the marriage rate and the divorce rate from a longitudinal and comparative perspective. …”
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The role of immunotherapy in the treatment of skin melanoma: a contemporary perspective by P. S. Masaeva

“…For each research found, the following parameters were recorded: treatment method, number of patients, follow-up period, time of relapse-free course, survival rate. No meta-analysis of the data was performed due to the high heterogeneity of the studies. …”
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Analysis of the disease burden of ischemic heart disease attributable to dietary factors in china from 1990 to 2017 by Guo-Xiang TIAN, Zhu SUN, Yun-Tao WU, Wei ZHANG, Wan-Lin WEI

“…The DALY rate of IHD attributable to dietary factors gradually increased with age, with the highest rate in people over 80 years old. …”
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The effect of depth of the trap zone of an end release avalanche on the depletion of ore loss by Xiaoyu Wu, Nan Zhang, Xiaowei Wu

“…Each group of experiments has carried out ore rock filling, symbolic particle placement, and ore drawing experiments according to the experimental scheme. In the process of ore drawing, the sorted ore and rock data, recovered landmark particles and corresponding codes and drawing time are collected. …”
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Remote Sensing Drought Monitoring and Assessment in Southwestern China based on Machine Learning by Hejia JIA, Xiehui LI, Lei WANG, Yuting XUE, Huiquan LIN

“…Due to the complexity of drought and the diversity of influencing factors， the accurate monitoring of drought still faces many problems， especially the increasing frequency and aggravation of drought in Southwestern China， and the formation and disaster causing process have certain particularity.However， the traditional drought monitoring methods cannot meet the requirements of regional drought monitoring， so more scientific monitoring methods and means are needed.Since machine learning can comprehensively consider a variety of disaster causing factors to establish a comprehensive drought monitoring model， it undoubtedly provides a new technical means for drought monitoring.Therefore， this paper used multi-source remote sensing data from 2010 -2019 and meteorological station data from 1980-2019 to first construct a random forest monitoring model to reconstruct and supplement the surface temperature in Southwestern China， and then constructed XGBoost monitoring model to monitor， evaluate and validate the drought in Southwestern China.The results showed that： （1） The correlation coefficients between the training set and test set of the random forest model and the actual surface temperature of the stations exceeded 0.9， which reached a significant correlation.The spatial distribution of LST reconstruction values was similar to that of remote sensing monitoring values， and the values were close to the observed values of meteorological stations.（2） The correlation coefficients between the monitoring values of XGBoost model training set and test set and the SPEI calculated values at the stations were more than 0.86， with significant correlation.The overall consistency rate of drought grade between the monitored value and the calculated SPEI values exceeded 85%.（3） The overall consistent rate between the monitored values of the XGBoost model and the MCI values was above 67.88%， which was more consistent.The consistent rate of all months exceeded 58%， with the highest consistent rate of 75.07% in September and the lowest consistent rate of 58.26% in February.（4） The drought in each season monitored by the model was basically consistent with the actual drought， which could better reflect the spatial distribution and drought in Southwestern China.…”
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Design and Performance Evaluation of a Distributed OFDMA-Based MAC Protocol for MANETs by Jaesung Park, Jiyoung Chung, Hyungyu Lee, Jung-Ryun Lee

“…We evaluate the performance of the proposed protocol in respect of the reservation success rate and the success rate of data transmission. Since our method focuses on avoiding logical errors, it could be easily placed on top of the other resource allocation methods focusing on the physical layer issues of the resource management problem and interworked with them.…”
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Solder Lead Waste Reduction of a Selected Mobile Phone Factory: A Six Sigma DMAIC Approach by Md. Mehedi Hassan Munna, Jonayed Abdullah, Tarequl Islam, Most. Anika Tabassum Little

“…Collected data were analyzed in MS Excel, and this analysis showed that the wastage rates were 91.38% in July 2024 and 80.67% in August 2024. …”
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Comparison of ETAS parameter estimates across different time windows within the North and East Anatolian Fault Zones, Turkey by Suchanun Piriyasatit, Ercan Engin Kuruoglu, Mehmet Sinan Ozeren

“…Along the NAF, the ETAS model highlighted a lower background seismicity rate (μ) and aftershock productivity (K0) compared to the EAF. …”
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On-Road Evaluation of an Unobtrusive In-Vehicle Pressure-Based Driver Respiration Monitoring System by Sparsh Jain, Miguel A. Perez

“…The experimental results indicate that the system reliably detects the respiration rate despite the dynamic environment, achieving a mean absolute error of 1.5 breaths per minute with a standard deviation of 1.87 breaths per minute (9.2% of the mean true respiration rate), thereby bridging the gap between controlled laboratory tests and real-world automotive deployment. …”
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Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. by Hao Cao, Xiaoyan Du

“…The robust capability of the VMD-BILSTM-AEAM algorithm to accurately process and analyze time-series data, even in the presence of noise, highlights its potential for broader applications in predictive maintenance and fault detection across various domains.…”
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Journal Bearing Fault Detection Based on Daubechies Wavelet by Narendiranath Babu THAMBA, Himamshu H S, Prabin Kumar NAYAK, Rama Prabha D, Nishant CHILUAR

“…ANN was able to classify the faults with the classification rate of 85.7%. Thus, the test process for unseen vibration data of the trained ANN combined with ideal output target values indicates high success rate for utomated bearing fault detection.…”
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Developing a New Expected Goals Metric to Quantify Performance in a Virtual Reality Soccer Goalkeeping App Called CleanSheet by Matthew Simpson, Cathy Craig

“…A validation process evaluated the new xG model for <i>CleanSheet</i> by comparing its difficulty predictions against user performance data across players of varying skill levels. …”
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Uncovering Barriers to Maternal Mortality Audits: An Unseen Challenge by Salsabila Dinda Nuril Ishlahi, Metta Octora, Ratih Barirah, Ario Danianto

“…Triangulation were done by method triangulation, triangulation between researchers, triangulation of data sources, and theoretical triangulation. The results showed that the problems faced by the MPDSR team, including ineffective of MPDSR socialization, budget limitations of MPDSR activities, feature issues in the MPDN, the ratio between labor and workload was less than ideal, incomplete and delayed collection of maternal mortality data, lack of communication between MPDSR teams, health workers have not been trained in the data entry process, labor outside of medical supervision, no monitoring of maternal mortality cases in wards other than obgyn, health workers did not understand the ICD-10 code, the assessment was still conducted in a hybrid, not all maternal death cases were assessed, blaming culture, and suboptimal monitoring of the sustainability of MPDSR recommendation. …”
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The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis. by Nicholas Riches, Maria Panagioti, Rahul Alam, Sudeh Cheraghi-Sohi, Stephen Campbell, Aneez Esmail, Peter Bower

“…Article screening, selection and data extraction were independently conducted by 2 reviewers. 36 articles met the eligibility criteria and the pooled accurate diagnosis retrieval rate of DDX tools was high with high heterogeneity (pooled rate = 0.70, 95% CI = 0.63 to 0.77; I2 = 97%, p<0.0001). …”
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Thermodynamically consistent modeling of granular soils using physics-informed neural networks by Nazanin Irani, Mohammad Salimi, Torsten Wichtmann

“…Abstract In recent years, data-driven approaches have gained considerable momentum in the scientific and engineering communities, owing to their capacity to extract complex patterns from high-dimensional data. …”
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