bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Individual and Familial Risk Factors of the Adolescents Exposed to Sexual Revictimization: The First Data from Turkey*
Authors: Yurtay Nilufer 
Published: January 2023

Childhood sexual abuse (SA) is an important problem worldwide. There are many studies concerning the individual and familial risk factors for SA. However, in literature it is emphasized that there is a need for studies on the risk factors concerning sexual revictimization (SR). Because there is no study on the possible risk factors of SR in Turkey, the aim of this study is to determine whether there are meaningful differences between the possible individual and familial risk factors of individuals who have been exposed to SR and individuals who have not been exposed to SR. A total of 210 parents of adolescent girls participated in the study, 70 of them with daughters who have experienced SR, 70 of them with daughters who experienced SA once, and 70 of them with daughters who have not experienced SA. In order to collect data, a Family Information Form developed by the researchers was used. In the analysis of data, Chi Square tests and Holmâ€™s Sequential Bonferroni Method were employed. As a result of analyses, it was determined that adolescents who have experienced SR have more alcohol consumption in their family compared to the adolescents who have experienced SA once and the adolescents in the control group. It was also determined that these adolescents experience physical abuse in the hands of their fathers, that they have problems with their parents about curfew hours and boyfriends, that they have a negative circle of friends, that they consume alcohol and perform self-mutilative behaviors, that they skip classes and have a low academic success level. In addition to these, it was determined that compared to the comparison group, the adolescents with SR as well as the adolescents who have experienced SA once have parents with lower education levels, that they experience more family problems recently, and that their mothers are physically abused. With this study on SR, which is the first of its kind in Turkey, it was determined that victims experience various individual and familial problems and that their parents need psychosocial support. The results were discussed under the light of literature, and suggestions were made.
Keywords: child; adolescent; sexual revictimization; risk factors;
Evaluation of Fibrosis Markers as a Potential Method for Diagnosing Non-Obstructive Coronary Artery Disease in Patients with Stable Coronary Artery Disease
Authors: Pakhtusov N. N. , Yusupova A. O. , Zhbanov K. A. , Shchedrygina A. A. , Privalova E. V. , Belenkov Yu. N. 
Published: January 2023

Aim. To study the levels of fibrosis markers in patients with stable coronary artery disease (CAD) and various types of coronary artery (CA) lesions (obstructive and non-obstructive), to identify possible differences for diagnosing the types of coronary obstruction.Material and methods. The observational study included three groups of patients: with non-obstructive (main group, coronary artery stenosis <50%; n=20) and obstructive (comparison group, hemodynamically significant coronary artery stenosis according to the results of coronary angiography; n=20) CAD and healthy volunteers (control group; n=40). Transforming growth factor beta 1 (TGF-β1) and matrix metalloproteinase 9 (MMP-9) levels were measured in plasma by enzyme immunoassay. According to the results of echocardiography, all patients included in the study were divided into four groups depending on the type of myocardial remodeling.Results. TGF-β1 levels were significantly higher in patients with obstructive CAD (p=0.008) than in patients with non-obstructive CAD and healthy volunteers (p <0.001). There were no significant differences between the main and control groups (p>0.05). There were no statistically significant differences in TGF-β1 levels depending on the type of left ventricular remodeling (p=0.139). The maximum level of MMP-9 was in the group with obstructive coronary disease and significantly differed from the main group (p <0.001) and the control group (p=0.04).Conclusio. The maximum levels of TGF-β1 and MMP-9 were found in the group with obstructive coronary artery disease. The levels of these biomarkers in the main group were statistically different from the values obtained in the control group. Thus, considering the pathogenesis of the development of non-obstructive CAD, the use of fibrosis markers TGF-β1 and MMP-9 may be promising for diagnosing the severity of CA obstruction.
Inflammation of Bone in Patients with Periprosthetic Joint Infections of the Knee
Authors: Biedermann Lara , Bandick Evgeniya , Ren Yi , Tsitsilonis Serafeim , Donner Stefanie , Müller Michael , Duda Georg , Perka Carsten , Kienzle Arne 
Published: January 2023

Background:
Despite the general success of total knee arthroplasty (TKA), addressing periprosthetic joint infection (PJI) and the resulting long-term complications is a growing medical need given the aging population and the increasing demand for arthroplasty. A larger proportion of patients face revision surgery because of the long-term complication of aseptic loosening despite clearance of the infection. The pathomechanisms leading to prosthetic loosening are not understood as it has been widely assumed that the bone stock recovers after explantation revision surgery. While clinical observations suggest a reduced osteogenic potential in patients with PJI, knowledge regarding the relevant biology is sparse. In the present study, we investigated the inflammatory impact of PJI on the bone and bone marrow in the vicinity of the joint. Additionally, we evaluated changes in the local inflammatory environment in a 2-stage exchange at both explantation and reimplantation.

Methods:
In this study, we analyzed 75 human bone and bone-marrow specimens (obtained from 65 patients undergoing revision arthroplasty with cement for the treatment of PJI) for markers of inflammation. Samples were analyzed using hematoxylin and eosin overview staining, fluorescent immunohistochemical staining, flow cytometry, and polymerase chain reaction (PCR).

Results:
Leukocyte prevalence was significantly elevated at explantation (femur, +218.9%; tibia, +134.2%). While leukocyte prevalence decreased at reimplantation (femur, −49.5%; tibia, −34.2%), the number of cells remained significantly higher compared with the control group (femur, +61.2%; tibia, +54.2%). Expression of inflammatory markers interleukin (IL)-1α (femur, +2,748.7%; tibia, +1,605.9%), IL-6 (femur, +2,062.5%; tibia, +2,385.7%), IL-10 (femur, +913.7%; tibia, +897.5%), IL-12 (femur, +386.1%; tibia, +52.5%), IL-18 (femur, +805.3%; tibia, +547.7%), and tumor necrosis factor (TNF)-α (femur, +296.9%; tibia, +220.9%) was significantly elevated at prosthesis explantation in both femoral and tibial specimens. Expression remained significantly elevated at reimplantation for all inflammatory markers except IL-12 compared with the control group. Conversely, there were only limited inflammatory changes in the bone marrow environment.

Conclusions:
The present study demonstrated a strong and lasting upregulation of the proinflammatory environment in the joint-surrounding osseous scaffold in patients with PJI. Our data suggest that modulating the inflammatory environment has substantial potential to improve the clinical outcome in affected patients.
Research on Water-Conducting Fractured Zone Height under the Condition of Large Mining Height in Yushen Mining Area, China
Authors: Feng Dong , Hou Enke , Xie Xiaoshen , Hou Pengfei 
Published: January 2023

Abstract
Accurately predicting the development height of the water-conducting fracture zone (HW) is imperative for safe mining in coal mines, in addition to the protection of water resources and the environment. At present, there are relatively few fine-scale zoning studies that specifically focus on predicting the HW under high-intensity mining conditions in western China. In view of this, this paper takes the Yushen mining area as an example, studies the relationship between the water-conducting fissure zone and coal seam mining height, coal seam mining depth, hard rock scale factor, and working face slope length, finally proposing a method to determine the development height of the HW based on multiple nonlinear regression models optimized using the entropy weight method (EWM-MNR). To compare the reliability of this model, random forest regression (RFR) and support vector machine regression (SVR) models were constructed for prediction. The findings of this study showed that the results of the EWM-MNR model were in better agreement with the measured values. Finally, the model was used to accurately predict the development height of the hydraulic conductivity fracture zone in the 112201 working face of the Xiaobaodang coal mine. The research results provide a theoretical reference for water damage control and mine ecological protection in the Yushen mine and other similar high-intensity mining areas.
History-Matching and Forecasting Production Rate and Bottomhole Pressure Data Using an Enhanced Physics-Based Data-Driven Simulator
Authors: Li Ying , Alpak Faruk Omer , Jain Vivek , Lu Ranran , Onur Mustafa 
Published: January 2023

Summary
In this study, we present a novel application of our newly developed physics-based data-driven interwell numerical simulator (INSIM) referred to as INSIM-BHP to history match highly variable real-life (oscillatory) oil rate and bottomhole pressure (BHP) data acquired daily in multiperforated wells produced from an oil reservoir with bottomwater drive mechanism. INSIM-BHP provides rapid and accurate computation of well rates and BHPs for history matching, forecasting, and production optimization purposes. It delivers precise BHP calculations under the influence of a limited aquifer drive mechanism. Our new version represents the physics of two-phase oil-water flow more authentically by incorporating a harmonic-mean transmissibility computation protocol and including an arithmetic-mean gravity term in the pressure equation. As the specific data set considered in this study contains a sequence of highly variable oil rate and BHP data, the data density requires INSIM-BHP to take smaller than usual timesteps and places a strain on the ensemble-smoother multiple data assimilation (ES-MDA) history-matching algorithm, which utilizes INSIM-BHP as the forward model. Another new feature of our simulator is the use of time-variant well indices and skin factors within the simulator’s well model to account for the effects of well events on reservoir responses such as scaling, sand production, and matrix acidizing. Another novel modification has been made to the wellhead term calculation to better mimic the physics of flow in the wellbore when the production rate is low, or the well(s) is(are) shut in. We compare the accuracy of the history-matched oil rate and BHP data and forecasted results as well as computational efficiency for history matching and future prediction by INSIM-BHP with those from a high-fidelity commercial reservoir simulator. Results show that INSIM-BHP yields accurate forecasting of wells' oil rates and BHPs on a daily level even under the influence of oscillatory rate schedules and changing operational conditions reflected as skin effects at the wells. Besides, it can help diagnose abnormal BHP measurements within simulation runs. Computational costs incurred by INSIM-BHP and a high-fidelity commercial simulator are evaluated for the real data set investigated in this paper. It has been observed that our physics-based, data-driven simulator is about two orders of magnitude faster than a conventional high-fidelity reservoir simulator for a single forward simulation. The specific field application results demonstrate that INSIM-BHP has great potential to be a rapid approximate capability for history matching and forecasting workflow in the investigated limited-volume aquifer-driven development.
Engineering Charts Development for Poroelastic Stress Analysis of Horizontal/Inclined Borehole and Its Application for Breakdown Pressure Prediction
Authors: Chen S. L. , Han Y. H. , Abousleiman Y. N. 
Published: January 2023

Summary
This paper develops a set of engineering charts for the time-dependent stress and pore pressure responses at the wellbore surface under ramp-type, finite-length fluid-injection conditions, based on a semianalytical approach with the use of Laplace-Fourier integral transform technique, to facilitate the prediction of borehole breakdown pressure (BDP) for hydraulic fracturing operating practice. The charts are presented in a nondimensionalized form to cover a wide range of borehole/rock parameters, which, in combination with the approximate solution for the impermeable borehole drilling problem for small and large times, can be conveniently utilized to gain a rapid estimation of the lower and upper bounds for the desired BDP. It is found that the generated charts can be significantly affected by both the ramp time and the fluid discharge length but only slightly influenced by the poromechanics parameters of the rock formation. The potential applications of the produced engineering charts in the hydraulic fracturing breakdown analysis are shown in clear detail through an example demonstration. The new BDP model is deemed to be advantageous over the previous models, given that it can more realistically reflect the time-dependent nature of the pore pressure at the borehole surface during fluid injection and also that it has the capability of predicting the essential breakdown time. Comparisons have also been conducted for the BDP between the presently proposed chart-based analytical approach and the available experimental data from the laboratory studies of hydraulic fracturing by fluid injection, and the two results show an overall satisfactory agreement.
Tuned Low-Salinity Waterflooding in Carbonate Reservoirs: Impact of Cr2O72-, C6H5COO-, and SO42-
Authors: Ghalamizade Elyaderani Seyed Masoud , Saeedi Dehaghani Amir Hossein , Razavinezhad Javad 
Published: January 2023

Summary
Recent studies have revealed that tuning SO42− concentration can significantly boost low-salinity waterflooding (LSWF) in carbonate reservoirs. In this study, for the first time, Cr2O72− and C6H5COO− were added to low-salinity water (LSW), and their effect on enhanced oil recovery (EOR) was investigated and compared with SO42−. This study aimed to primarily determine whether adding anions other than SO42− to LSW could further reduce interfacial tension (IFT) and make the carbonate surface water-wet thereby improve oil recovery. To this end, we added Cr2O72−, C6H5COO−, and SO42− to LSW at different concentrations and performed IFT, contact angle, and zeta potential experiments. Then, the flooding test was carried out in a calcite-coated micromodel for each anion at the optimal concentration. The results showed that the carbonate surface became water-wet and intermediate-wet as the concentrations of Cr2O72− and SO42− increased, respectively. However, the presence of C6H5COO− did not alter the carbonate surface wettability (i.e., it remained oil-wet). The calcite dissolution, ion pair formation, and salting-in effect mechanisms might alter the carbonate surface wettability. Also, IFT declined with increasing each anion concentration in LSW (with the highest reduction associated with Cr2O72−), but this reduction was not significant. Several mechanisms might lead to the IFT reduction, including the salting-in effect, H+ effect, and surface excess concentration. Regarding zeta potential tests, although raising the concentrations of Cr2O72− and SO42− could make the charge of the carbonate surface more negative, increasing the concentration of C6H5COO− had little effect on altering this charge. Additionally, Cr2O72− made the oil/brine zeta potential positive, although the oil/brine surface charge became negative in the presence of C6H5COO− and SO42−. As for anions’ affinity, Cr2O72− and C6H5COO− had the highest and the lowest affinity for the interface, respectively. Besides, the amount of oil recovery for LSW was 18.7±1.6%. Compared with LSW, LSW2S and LSW1Cr raised oil recovery by 3.6 and 14.3%, respectively. The results of this study support that Cr2O72− can be used in LSWF. Indeed, this anion (compared with SO42−) helps produce more oil from carbonate reservoirs by improving the parameters that are effective in EOR.
Energy-aware Scheduling Protocol based Hybrid Metaheuristic technique to optimize the lifespan in WSNs
Authors: Hameed Mazin Kadhum , IDREES Ali 
Published: January 2023

Abstract

Topology control is a significant research problem when it comes to designing energy-efficient Wireless Sensor Networks (WSNs). It is a metric for evaluating network service quality. To ensure the quality of network services, it is critical to provide energy-efficient sensor node scheduling in order to extend the network's lifespan. In this paper, we propose an Energy-aware Scheduling Protocol (ESP) based Hybrid Metaheuristic technique for minimizing the amount of energy consumption and ensuring sufficient coverage for the monitored area while maximizing the network lifespan for WSNs. The ESP consists of two phases: distributed clustering and sensor node scheduling. The clustering phase implements the DBSCAN clustering algorithm with slide modification to cluster the sensor nodes in the area of interest into clusters of nodes, and the cluster head will be elected every new period. This clustering is only performed at the beginning to group the nodes into clusters. Then, only the cluster head will be elected dynamically every period. In the scheduling phase, we model the scheduling optimization problem using three objectives: reducing the number of uncovered zones, minimizing the number of active sensors, and selecting the active sensor nodes with the maximum remaining energy. This scheduling optimization model is solved using a hybrid metaheuristic algorithm. The equilibration of exploration and exploitation abilities was further enhanced by incorporating the operators of the genetic algorithm into the regular Cuckoo algorithm, and greater search space was observed during the algorithms' performance. Extensive simulation experiments were conducted using the OMNeT++ network simulator. The results show that the proposed ESP protocol introduces better performance in terms of coverage ratio, active sensor ratio, energy consumption, network lifespan, and execution time compared to other existing techniques.
Evaluation of Automatic Single Cough Segmentations
Authors: Atmaja Bagus Tris , Sasou Akira 
Published: January 2023

Abstract
Research on diagnosing diseases based on voice signals currently are rapidly increasing, including cough-related diseases. When training the cough sound signals into deep learning models, it is necessary to have a standard input by segmenting several cough signals into individual cough signals. Previous research has been developed to segment cough signals from non-cough signals. This research evaluates the segmentation methods of several cough signals from a single audio file into several audio files containing a single file in each. We evaluate three different methods employing manual segmentation as a baseline and automatic segmentations. The results by two automatic segmentation methods obtained precisions of 73% and 70% compared to 49% by manual segmentation. The agreements of listening tests to count the number of correct singlecough segmentations show fair and moderate correlations for automatic segmentation methods and are comparable with manual segmentation.
Updated Seismic Hazard Curves, Maps, and Spectra for the Northern Dominican Republic using a Probabilistic Seismic Hazard Analysis
Authors: Erazo Kalil 
Published: January 2023

AbstractThis article presents updated seismic hazard curves, maps, and spectra of ground motion intensity parameters for the northern region of the Dominican Republic (DR) obtained using a probabilistic seismic hazard analysis (PSHA). The analysis uses as input data an earthquake recurrence model based on fault slip rates derived from GPS measurements published in the aftermath of the 2010 Haiti Earthquake. The seismicity rate data are used to calibrate a composite characteristic earthquake model, which is combined with a Poisson process to provide a temporal characterization of earthquake occurrence. The PSHA accounts for uncertainties in the analysis by modeling magnitude and site-to-rupture distance as random variables, considering the aleatory uncertainty associated to the ground motion prediction equations (GMPE) used for spatial characterization of earthquake-induced ground motions. The seismic hazard curves and maps include (horizontal) peak ground acceleration and pseudo-spectral response accelerations at 0.2s and 1.0s periods for 5% damping and firm rock sites. The results show that the ground motion parameters with a 2% probability of exceedance (PE) in 50 years determined in this study are up to 46% larger than the corresponding parameters specified in the current DR building code for the northern DR. Moreover, the design response spectra for a site in the city of Santiago specified in the code is significantly lower than the 2% PE in 50 years uniform hazard spectra determined in this study for periods smaller than 0.5s, a range that includes the majority of the structures that define the built environment of the DR.
Rapid partial nitrification reactor start-up and its feasibility as an anammox preprocess
Authors: Jin Yue , Zhang Xuli , Li Haixiang , Wu Zhicheng , Zhang Wenjie 
Published: January 2023

Abstract

In this study, a laboratory-scale partial nitrification reactor (PNR) was used to treat high-ammonia-nitrogen wastewater, with changing the influent NH4+-N load rate (INLR) as the main operating strategy, to investigate the upper limit of its NH4+-N load rate (NLR) and explore its use as an anammox pre-process. During the experiment, PNR was successfully activated in only ten days. The PNR reached the highest NLR value of approximately 9.79 kg N/(m3·d) when the INLR was 16.29 kg N/(m3·d), and the NH4+-N conversion rate (NCR) was 59.61% at this time. The value of [NO2--N]Eff/[NH4+-N]Eff was approximately 1.37. It is proved that it is feasible to use this PNR as a pre-process of anammox. The PCR-DGGE results showed that the dominant phylum and genus in the reactor during the INLR experiment were Proteobacteria and Nitrosomonas, respectively. With the increase in the INLR, the relative concentration of Nitrosomonas sp. G1 increased from 15–40%. This indicates that its abundance is directly correlated with the increase in the INLR. High-throughput sequencing showed that reducing the INLR of the PNR greatly reduced the diversity and abundance of the system microbial community structure and changed the dominant phylum and genus; however, the stability of the system was not disrupted. We hypothesize that the stability of the PNR mainly depended on the growth and changes of the functional bacteria in the reactor, and had little relationship with the diversity and abundance of the microbial community in the system.