The Influence of Cash Turnover, Accounts Receivable Turnover, Capital Structure, and Profit Growth on Profitability by Azizah Nasya Ziyadatul, Dewi Siska, Rokhman Nur

“…Purposive sampling was the approach utilized to choose the sample for this study. Secondary data from the Indonesia Stock Exchange (IDX) is the sort of data that was used. …”
Get full text

Financial Risk and Capital Structure: Does it Contribute to Increasing the Company Value of Islamic Banking? by Satrio Fajar Putra, Ulfi Kartika Oktaviana

“…This research used panel data with analysis tools in panel data regression by Eviews. …”
Get full text

EARLY SLAVS’ PRODUCTION AND SUBSISTENCE ACTIVITIES CASE STUDY ‒ THE AREA OF THE UPPER TISZA RIVER BASIN (CA. SECOND HALF OF THE 6TH CENTURY ‒ FIRST HALF OF THE 7TH CENTURY AD)... by Ioan STANCIU

Get full text

Understanding Newton's Third Law: A Study of Prospective Physics Teachers' Knowledge Structure by Wulan Anna Pertiwi, Revnika Faizah, Astrini Dewi Kusumawati, Nadiyah Nadiyah, Agus Setyo Budi, Luh Sukariasih

“…In contrast, the qualitative data source comes from students' reasons for choosing answers, which are used to see the characteristics of knowledge structures. …”
Get full text

SPECIFIC VELOCITY STRUCTURE OF THE UPPER MANTLE IN THE TRANSBAIKALIA SEGMENT OF THE MONGOLIA-OKHOTSK OROGENIC BELT by V. M. Soloviev, V. V. Chechelnitsky, A. S. Salnikov, V. S. Seleznev, A. V. Liseikin, N. A. Galyova

“…The seismic data was used to contour an area with high velocity values in the mantle in the central part of the Mongolia-Okhotsk orogenic belt and the neighboring fold structures of Transbaikalia. …”
Get full text

Relationship between serum Cystatin C and cardiac structure and function in peritoneal dialysis patients by LI Feng, AI Quan-ling, SHENGMei-xiao

“…Objective To evaluate the relationship between serum Cystatin C(Cys-C) and the structure and function of the heart in peritoneal dialysis(PD) patients.Methods Forty-four patients subject to PD treatment for 3 months or more were included from March 2012 to February 2013 in Department of Nephrology,Jiangsu Provincial Hospital of TCM in the end stage of chronic kidney disease and in a stable condition.According to serum Cys-C levels,44 patients were divided into two groups:high Cys-C group(Cys-C>7.0 mg/L) and low Cys-C group(Cys-C≤7.0 mg/L).The clinical data(total Ccr,total Kt/V,serum creatinine,hemoglobin,serum albumin,total cholesterol,and triglycerides) were collected,serum Cys-C level was determined by latex-enhanced immunoturbidimetry,and left atrial diameter,left ventricular end-diastolic diameter,left ventricular end-systolic diameter,left ventricular posterior wall thickness,interventricular septal thickness,stroke volume and ejection fractions were measured by color Doppler ultrasound.The differences in the clinical data and the indexes of the heart between two groups were observed,and the relationship between Cys-C and clinical data or the indexes of the heart was analyzed.Results There was no significant difference in LAD,LVDd,LVDs and SV between two groups(P>0.05).LVPWT,IVST and LVMI were higher in high Cys-C group,but LVEF was higher in low Cys-C group(P<0.05),prompting high Cys-C patients had elevated left ventricular hypertrophy and decreased heart function.Pearson correlation analysis revealed that serum Cys-C levels were positively correlated with LVMI,and negatively with LVEF.Serum Cys-C levels were positively correlated with serum creatinine and dialysis age,but negatively with total Ccr.Conclusions The increase of Cys-C in PD patients can result in left ventricular systolic dysfunction and make left ventricular hypertrophy and ventricular remodeling.We can predict cardiovascular complications by assessing cardiac function and structural changes in PD patients.…”
Get full text

Physics-informed deep learning quantifies propagated uncertainty in seismic structure and hypocenter determination by Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie

“…Here, we address this issue by employing a physics-informed deep learning (PIDL) approach that quantifies uncertainty in two-dimensional seismic velocity structure modeling and its propagation to hypocenter determination by introducing neural network ensembles trained on active seismic survey data, earthquake observation data, and the physical equation of wavefront movement. …”
Get full text

Study of structural stability of a concrete gravity dam using a reliability approach� by Mohamed Essaddik Kerkar, Mustapha Kamel Mihoubi

“…Dam safety is a priority at the international level, it requires a large amount of data that allows analysts to make optimization on its structural stability, the latter is based on the estimation of the probability of failure from the effects of stress and resistance acting on the dam-reservoir system. …”
Get full text

Structural Reliability Analysis Based on IPSO-SVR for High-speed EMU Motor Hanger by Yonghua LI, Yue XU, Fuyu ZHAO, Yue WU

Get full text

Earthquake clustering and structural modelling unravel volcano-tectonic complexity beneath Mount Etna by Luciano Scarfì, Giovanni Barreca, Carmelo Cassisi, Horst Langer

“…Abstract Active volcanoes are dynamic systems whose internal structure is key to assessing associated hazards. This study investigates the deep architecture of Mount Etna by integrating seismic data with crustal tectonic models. …”
Get full text

Phytoplankton of the middle Caspian Sea: analysis of changes in the structure of the community over the past decades by S. V. Vostokov, L. A. Pautova, I. V. Saling, A. S. Vostokova, Dz. A. Ustarbekova, E. N. Lobachev, B. Abtahi, M. G. Shojaei

“…Analysis  of  changes  in  quantitative  and  structural  indicators  of phytoplankton in the western and central part of the middle Caspian Sea over the past decades, including according to remote sensing data.Material  and  Methods.  …”
Get full text

Simulation of three dimensional diffraction patterns as aid of structural analysis for complex epitaxial films by Yajun Tao, Erhao Peng, Qingyu He, Xinyan Chen, Jiangxiao Li, Yuting Wang, Yongqi Dong, Zhe Sun, Zhenlin Luo

“…This work sheds light on more effective data analysis of 3D-RSM, i.e., more effective structural characterization of complex epitaxial films.…”
Get full text

Brain structural MRI marker for predicting conversion to Parkinson’s disease in individuals with prodromal symptoms by Chang-hyun Park, Uicheul Yoon, Phil Hyu Lee, Jinna Kim, Seung-Koo Lee, Na-Young Shin

Get full text

Detectability of Structural Damage to a Lattice Tower using Eigenfrequencies and Gaussian Process Regression by Britt Kahrger, Sören Möller, Clemens Jonscher, Tanja Grießmann, Raimund Rolfes

“… One main challenge in structural health monitoring is distinguishing between the effects of actual system changes and changing environmental conditions (EC) on the monitored parameters. …”
Get full text

A Study of Reduction of Time-to-CED in GPS CNAV Message Structure With Reduced CED by Byunghyun Choi, Donguk Kim

“…From this perspective, several methods have been proposed for fast positioning and the Galileo system has adopted reduced clock and ephemeris data (CED) in the I/NAV navigation message. This approach shortens the time required to read navigation data, thereby reducing the Time-to-First-Fix (TTFF). …”
Get full text

A Multi-Scale Unsupervised Feature Extraction Network with Structured Layer-Wise Decomposition by Yusuf Şevki Günaydın, Baha Şen

“…This decomposition enhances the information richness of input data while preserving its structural integrity, making it especially beneficial for grayscale or low-resolution images. …”
Get full text

Knowledge Graph as Pre-Training Corpus for Structural Reasoning via Multi-Hop Linearization by Wooyoung Kim, Haemin Jung, Wooju Kim

“…Knowledge Graphs provide a rich, structured source of relational data, offering an opportunity to enhance the reasoning capabilities of Large language models. …”
Get full text

Providing a customer satisfaction model of non-attendance services in the social security organization by Hossein Barzgar, Vahid Sanavi Garoosiyan, ali hossein zadeh

“…The variable of customer satisfaction with non-attendance services includes 4 dimensions of infrastructures, culture building, reforming structures, and creativity and innovation.Research findingsSPSS software was used to analyze the data of this research, and Lisrel software was used to fit the conceptual model of the research. …”
Get full text

Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method by Thanh-Cao Le, Duc-Duy Ho, Chi-Thien Nguyen, Thanh-Canh Huynh

“…This paper presents an improvement to the modal strain energy (MSE) method for identifying structural damages in plate-type structures. A two-step MSE-based damage localization procedure, including a global step and a local step, is newly proposed to enhance the accuracy of detecting the location of structural damage. …”
Get full text

Development of Soft Tactile Sensor for Prostatic Palpation Diagnosis: Sensor Structure Design and Analysis by Zhongwei Jiang, Seiji Chonan, Yoshikatu Tanahashi, Takuji Kato, Mami Tanaka

Get full text