bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Mean Platelet Volume in the Diagnosis of Neonatal Sepsis
Authors: Sagheb Setareh , Eshaghi Hamid , Lamsehchi Ameneh 
Published: June 2022

Background: Neonatal sepsis is still one of the main issues with unspecific signs and symptoms with high mortality and morbidity rates to assess Mean Platelet Volume (MPV) as a laboratory value for predicting neonatal sepsis.
Methods: In this cross-sectional study, we recruited 72 term and late preterm newborns diagnosed with sepsis who were admitted into the neonatal ward of the children’s medical center of Tehran University of Medical Sciences (TUMS) from March 2016 to May 2017 case group. The control group consisted of 50 healthy term infants (mean age: 5.46±3.59 days). The blood test was performed at the time of admission. Hematologic markers including MPV, White Blood Cell (WBC), and C-Reactive Protein (CRP) were compared between two groups.
Results: There were statistically significant differences between WBC (p=0.019), CRP (Mean Difference: 9.38, 95% CI: 4.19 to 14.58, p=0.001) and MPV (Mean Difference: 0.56, 95% CI: 0.25 to 0.86, p<0.001) in case group in comparison with the control group. The area under the curve was 68.71 for MPV. Diagnostic cut-off levels with sensitivity (80.56%) and specificity (52%) were found to be MPV> 9.2 fL. There was no significant association between MPV and disease status (case group: 9.80 ±0.88 vs. control group: 9.24 ±0.75).
Conclusion: Despite higher MPV during neonatal sepsis, the MPV values’ sensitivity and specificity were inadequate to be used as diagnostic tests. CRP is still a better marker for early suspicion of neonatal sepsis. MPV may be used in combination with CRP for identifying neonatal sepsis.
Stress, Anxiety and Depression Among Family Caregivers of COVID-19 Patients in Northwest Iran: A Cross-sectional Study
Authors: Rostami Mina , Farmani Parisa , Hosseinzadeh Zarrintaj , Hajimiri Khadijeh , Amanloo Maryam , Soleimani Morteza , Dadashi Mohsen 
Published: June 2022

Background: Taking care of a patient with COVID-19 can have a significant psychological burden. This study aimed at determining the levels of stress, anxiety and depression symptoms among family caregivers of Covid-19 patients.
Methods: This cross-sectional study was conducted on 236 main caregivers of coronavirus patients in Zanjan, Iran in 2020. The data measurement tool was the DASS-21 electronic questionnaire which was designed using the Porsline platform and was sent to the participants via SMS and WhatsApp messages. Descriptive statistics and Pearson’s R, Student’s T test and analysis of variance were performed to analyze the data in SPSS version 25.Results: The mean age of participants was 34.72±9.52 years. Of the participants, 57.21, 70.77 and 55.09% had symptoms of depression, anxiety and stress, respectively. Females experienced higher levels of stress than males (p=0.049). Additionally, the mean score of depression sub-scale was significantly different between categories of employment status (p=0.029), as self-employed workers had significantly higher depression sub-scale scores (10.97±10.85) compared to the other two groups. No significant associations were found between age and depression, anxiety, and stress of the participants. Moreover, the mean scores of depressions, anxiety, and stress sub-scales were not significantly different between categories of marital status and levels of education.
Conclusion: The majority of family caregivers experienced depression, anxiety, and stress symptoms. This significant prevalence of psychological burden among these individuals underscores the need for supportive measures by policy makers and communities to prevent further severe consequences and help them reduce these symptoms.
Obstetrics and Gynecology Residents Self-perceived Competency Regarding Female Pelvic Medicine and Surgery: An Internet-based Cross-sectional Survey
Authors: Ghanbari Zinat , Mostaan Fatemeh , Saleh Narges , Raznahan Maedeh , Adabi Khadijeh 
Published: June 2022

Background: The aim of our study was to assess factors associated with residents’ perceived competency regarding female pelvic medicine and reconstruction surgery (FPMRS).
Methods: We conducted an Internet-based cross-sectional survey. Obstetrics and gynecology residents’ self-perceived competence in clinical skills for management of pelvic floor disorders were questioned. Competency in different aspects was analyzed concerning the availability of fellowship-trained professor, rotation, and fellowship training program.
Results: 1168 residents of four levels of residency participated in this study. 760 (65.06 %) of residents were not trained by a fellowship-trained attendant. Of 409 (35.01%) responders who were trained by board-certified fellowship, 334 had FPMRS rotation in their residency program. Senior residents were significantly more confident than residents in the first and second years. 695 (59.50 %) of residents reported participating in the pelvic floor surgeries; however, only 15.3 % were served as primary surgeons. Where pelvic floor education had been provided by a fellowship-trained attendant, more perceived competency was evident in all fields of clinical skills except performance as primary surgeon and management of emergency cases. Among residents trained by board-certified FPMRS attendants, there were no significant differences regarding FPMRS rotation or fellowship training programs. 88.69 % of residents declared that a comprehensive course in the field of FPMRS is needed in the residency curriculum.
Conclusion: This study demonstrates that being trained by board-certified FPMRS attendants has significant effect on residents’ self-perceived competency. Residency education was not compromised by fellowship training program.
Preparation of preschool education specialists for innovative activities in preschool organizations
Authors: Saira Zhiyenbayeva , Fatima Zhumabekova , Rysty Kerimbayeva , Sholpan Salimbayeva , Laura Taiteliyeva , Assem Bulshekbayeva 
Published: June 2022

The purpose of this research; To get the opinions of preschool teachers in order to prepare preschool teachers for innovative activities in preschool organizations. In this study, in-depth interview technique, one of the qualitative research techniques, was used. The study group of the research consists of 33 volunteers working as pre-school teachers in various educational institutions in the city of Shymkent, Kazakhstan. Research data were collected through a form consisting of semi-structured interview questions prepared by the researchers. As a result of the research; It is seen that the majority of teachers define innovation as a compulsory need, renewal of oneself and an indicator of development. The majority of preschool teachers participating in the research describe themselves as moderately innovative. In parallel with this, teachers stated that they take part in innovative activities in preschool organizations. Teachers' suggestions for the development of innovative approaches are to be open to new ideas, to follow and try new methods and practices, to use technology in the educational environment, to gain creative thinking skills and to try new ways in problem solving. In addition, teachers stated that institutions and the ministry should aim to develop teachers' innovative attitudes through various practices. These results reveal that institutions, the ministry and the state have duties in order to develop teachers' innovative attitudes and to enable them to take a more active role in innovative activities in preschool organizations.
Keywords; Innovation, innovative activities, preschool organizations, preschool teachers
Caregiver’s Burden Among Families of Hemodialysis Patient: a Cross-Sectional Study
Authors: Nirmalasari Novita , Sari Ike Wuri Winahyu 
Published: June 2022

Background: The end-stage renal disease affects almost every aspect of the patients' and caregivers' lives. Several studies have been conducted to explore the experiences of family caregivers in caring for hemodialysis patients. However, a survey of the burden of family caregivers has yet to be conducted in Indonesia, a country with strong family bonds among family members. Purpose: This study aimed to identify the burden among family caregivers of hemodialysis patients. Methods: This study was a cross-sectional study conducted in May 2021 on 60 family caregivers of hemodialysis patients. selected using a purposive sampling technique. Semi structured questionnaires were used to measure socio-demographic. The Caregiver Reaction Assessment-Indonesian Version (CRA-ID) was used to measure their burden. Data were analyzed using descriptive analyzes and bivariate analyzes. Results: Women represented 65% (n=39) of participants, married participants were 83.3% (n=50), and were 63.3% employed (n=38). Most of them have minimum family income (51.7%). The least common association of caregivers was the spouses of the patients (n=32, 53.3%). The analysis showed that the mean overall burden score with CRA-ID was 2.88±0.69 (ranging 1.00 to 5.00). The highest burden was the lack of family support dimension of 3.47±0.42. Caregiver burden among caregivers of patients on hemodialysis showed that the variables related to family burden were age, an education level, and family income (p-value<0,05). Conclusion: Caregivers of hemodialysis patients carry a significant burden. Interventions to provide appropriate social support to patients and increase caregivers' psychological conditions are critical.
Geothermal Mechanism and Reservoir Characterization with Multiscale Analysis of the Potential Field and MT Profile in the Yanqing-Huailai Basin, North China
Authors: Zhang Dailei , Yuan Wenzhen , Tan Xiaodi , Zhou Wenna , Lei Xiaodong 
Published: June 2022

Abstract
Geothermal energy has attracted increasing attention worldwide due to its abundant reserves, stability, and sustainability. Based on the survey of geothermal resources in the Yanqing-Huailai Basin, this paper conducts comprehensive data study, demonstrates geothermal distribution and multiscale characteristics, and constructs the geothermal mechanism and conceptual model to promote regional geothermal energy development and utilization. Our study proposes to characterize geothermal reservoirs using geophysical data ranging from the representative geothermal field scale to the basin scale. Hydrochemical samples were also collected. According to the results of multiscale analysis and interpretation, combined with field geological and geothermal investigations, it is concluded that the Dahaituo pluton is composed of acid granite and monzonite granite, with low gravity and high magnetic anomaly. Its intrusion and development are responsible for the local geothermal anomaly. Multiscale analysis and source depth estimation of potential field data and MT profile interpretation were carried out. The regional thermal structure and reservoir characteristics were demonstrated from the deep to the shallow. In addition, according to the regional geological background and geophysical interpretation, a three-dimensional geological model is constructed to characterize the distribution law and genetic mechanism of geothermal anomalies. The study shows that strong Cenozoic tectonic movement and the intrusion and development of rock mass are the main factors causing local geothermal anomaly. The development of regional deep and major faults and extensional structures, as well as the channels and space formed by the breaking of rocks at the intersection of faults, provides advantageous conditions for the upwelling, migration, and convergence of geothermal fluids. The recharge of surface water in the intermountain basin and thermal convection drive the circulation of the geothermal system.
A Dramatic Marine Environment Change in the Beibu Gulf of the South China Sea around 3.2 kyr BP
Authors: Guoyi Zhou , Xinxing Cao , Jia Xia , Sibo Wang , Zhiguang Song 
Published: June 2022

Abstract
The profile geochemical characteristics of a seafloor sediment core, collected from the Beibu Gulf of the South China Sea, have been investigated in terms of the sediment grain size, the content of major and trace elements, the total organic carbon (TOC) and organic nitrogen (TN), and the carbon isotopic composition of organic matter (δ13Corg) and AMS 14C dating. These results show that the core sediments were deposited since 11.3 kyr BP and the profile could be clearly divided into the lower and upper sediment section based on geochemical characteristics. The lower section covers the depth of 86 cm to 200 cm and was deposited from 3.2 to 11.3 kyr BP, while the upper section is at the depth of 4 to 86 cm and represents sediments from 0.2 to 3.2 kyr BP. The upper section sediments are charcteristized by a much finer grain size and a clearly positive deviation of the δ13Corg value. Obviously, the overall profile geochemical characteristics indicate that the upper section was deposited under a significantly deeper seawater depth associated with a relatively weaker hydrodynamic and a better preservation condition for organic matter, while the low section was deposited under a relatively shallow seawater depth with the relatively stronger hydrodynamic condition and a relatively poor preservation condition for organic matter. Finally, it is suggested that the transition between the lower section and the upper section occurring around 3.2 kyr BP was mostly likely due to a dramatic marine environmental change caused by the rapid seafloor subsidence associated with the further expansion of the Qiongzhou Strait. And further multidisciplinary studies are needed to better reveal and understand different aspects of the significance of this marine environment change in the Beibu Gulf of the South China Sea.
Episodes of apnea and periodic breathing in premature infants with BPD-associated pulmonary hypertension
Authors: Trapeznikova A. Yu. , Petrova N. A. , Obraztsova G. I. , Boytsova E. V. , Sviryaev Yu. V. , Ivanov D. O. 
Published: June 2022

Premature infants with bronchopulmonary dysplasia-associated pulmonary hypertension have a longer persistence of apnea of prematurity and periodic breathing. We hypothesized that apnea of prematurity and periodic breathing may be associated with the persistence of pulmonary hypertension in infants with bronchopulmonary dysplasia.The aim of the study was to determine the characteristics of apnea episodes and periodic breathing in premature infants with bronchopulmonary dysplasia-associated pulmonary hypertension.Characteristics of children and research methods. Cardiorespiratory monitoring was conducted on 27 premature infants born at 22 0/7 — 29 0/7 weeks of gestation with a body weight of <1000 grams. All infants had bronchopulmonary dysplasia, and 14 infants with severe bronchopulmonary dysplasia were diagnosed pulmonary hypertension (main cohort).Results. The group of infants with bronchopulmonary dysplasia + pulmonary hypertension had lower average SpO2, higher desaturation index and apnea/hypopnea index as compared to infants without pulmonary hypertension. Four infants from the main cohort had obstructive apnea index of ˃1 events/hour and had high values of 1,1; 2,5; 5,8, and 8,6/hour. In the comparison group, only one infant had a high obstructive apnea index (1,1/hour). Eleven infants(78%) with pulmonary hypertension had episodes of periodic breathing, at the same time only six infants (46%) in the group without pulmonary hypertension had such episodes. Periodic breathing episodes with a drop of SpO2 <90% were registered in 82% of cases in the main cohort and in 67% of cases in infants of the comparison group.Conclusion. Premature infants with bronchopulmonary dysplasia and pulmonary hypertension had more significant decrease in mean SpO2, increased desaturation index and apnea/hypopnea index and tend to have obstructive apnea index >1/hour and longer periodic breathing than infants without pulmonary hypertension.
Dependability of water disposal systems of major cities
Authors: Baranov L. A. , Yermolin Yu. A. 
Published: June 2022

The Aim of the paper is to develop an analytical procedure for calculating the dependability indicator of a specific tree-like transporting network, i.e., the water disposal system of a major city.Methods. It is suggested using the relative volume of sewage water released from a sewage system into the environment as the result of the failure of the former’s components as the measure of dependability. This paper presents a simple and convenient method for calculating such volume. The method is based on the representation of a tree-like sewage network as a combination of Y fragments referred to as structural elements. Every such element is formally replaced with its pseudo equivalent with a failure rate calculated assuming that the volumes of untreated waste water released by actual and fictitious elements are equal. A consistent application of this approach reduces the problem of estimation of the volume of released waste water to elementary subproblems that are solved using probability methods.Results. The problem of identifying the operational dependability indicator comes down to a recurrent stepwise procedure for equalization of Y fragments of the network, at each step of which the calculation data from the preceding step are used as the input data. Each such step, starting from the entry network, leads to another (virtual) network, for which the procedure repeats. The equalization process ends when the original network is represented by only one pseudo element, for which the dependability indicator is defined in an elementary way.Conclusion. The authors developed a convenient method for calculating the operational dependability indicator of a tree-like sewer network of a major city. Some practical problems are referred to that can be solved using the proposed method. Future lines of research in the domain were identified.
Improving the efficiency of estimation of the dependability indicators of various test plans of homogeneous product
Authors: Mikhailov V. S. 
Published: June 2022

Improving the efficiency of comparison of various test plans for homogeneous products is based on the use of the efficiency criterion of biased estimates C( ), where is a certain parameter estimate. The process of selecting efficient biased estimates involves the following: all parameters of the submitted estimates are to be strictly monotone; the estimates with minimal bias A( ) = b2 or close to it are chosen. If, in the process of selection out of the proposed estimates, there is a single unbiased estimate, then the latter is the efficient one. For this estimate to be efficient in the class of unbiased estimates, it is required to prove the Cram r-Rao inequality for such estimate; estimates, for which inequality A = b2 > D is fulfilled, i.e., the bias prevails over the value scatter of such estimate, are excluded; estimates are selected, for which the inequality D/A > 4 is fulfilled, i.e., the estimates, for which the realizations are grouped around the true quantitative value of the estimated parameter from different sides; out of the remaining estimates, the estimate with the minimum bias A( ) = b2 is selected. In case a single estimate with minimum bias A has been selected, such estimate is considered efficient; in case A are equal, the estimate with minimal variance is chosen as the efficient one. As the efficiency criterion of biased estimates, characteristic C( ) = D·b2 is specified. The suggested probability of no-failure (failure) estimates are to be strictly monotone in terms of all parameters and not equal to zero or one.The Aim of the paper. The paper aims to obtain efficient estimates of the probability of no-failure for the binomial test plan and the test plan with limited time and recovery using the efficiency criterion of biased estimates.Methods of research. A bias-efficient estimate was found using integral numerical characteristics of estimation accuracy, i.e., total squared bias of the expected realization of a certain estimate off of the examined parameters of the distribution laws, etc.Conclusions. Bias-efficient estimates were obtained of the probability of no-failure for the binomial test plan and the test plan with limited time and recovery. The obtained probability of no-failure estimates are practically applicable as part of testing and operation of various products not associated with failures.
NeuMF: Predicting Anti-cancer Drug Response Through a Neural Matrix
Factorization Model
Authors: Liu Hui , Yu Jian , Chen Xiangzhi , Zhang Lin 
Published: June 2022

Background:
Anti-cancer drug response is urgently required for individualized therapy.
Measurements with wet experiments are costly and time-consuming. Artificial intelligence-based models are currently available for predicting drug response but still have challenges in prediction accuracy

Objective:
Construct a model to predict drug response values for unknown cell lines and analyze drug
potential association properties in sparse data.

Methods:
Propose a Neural Matrix Factorization (NeuMF) framework to help predict the unknown responses of cell lines to drugs. The model uses a deep neural network to figure out drug and cell lines'
latent variables. In NeuMF, the inputs and the parameters of the multi-layer neural network are simultaneously optimized by gradient descent to minimize the reconstruction errors between the predicted and
natural values of the observed entries. Then the unknown entries can be readily recovered by propagating the latent variables to the output layer.

Results:
Experiments on the Cancer Cell Line Encyclopedia (CCLE) dataset and Genomics of Drug Sensitivity in Cancer (GDSC) dataset compare NeuMF with the other three state-of-the-art methods. NeuMF reduces constructing drug or cell line similarity and mines the response matrix itself for correlations in the network, avoiding the inclusion of redundant noise. NeuMF obtained drug averaged PCC_sr of 0.83 and 0.84 on both datasets. It demonstrates that NeuMF substantially improves the prediction. Some essential parameters in NeuMF, such as the strategy of global effect removal and the scales of the input layer, are also discussed. Finally, case studies have shown that NeuMF can better learn the latent characteristics of drugs, e.g., Irinotecan and Topotecan are found to act on the same pathway TOP1. The conclusions are in line with some existing biological findings.

Results:
Experiments on the Cancer Cell Line Encyclopedia (CCLE) dataset and Genomics of Drug
Sensitivity in Cancer (GDSC) dataset compare NeuMF with the other three state-of-the-art methods.
NeuMF reduces constructing drug or cell line similarity and mines the response matrix itself for correlations in the network, avoiding the inclusion of redundant noise. NeuMF obtained drug averaged PCC_sr
of 0.83 and 0.84 on both datasets. It demonstrates that NeuMF substantially improves the prediction.
Some essential parameters in NeuMF, such as the global effect removal strategy and the input layer
scales, are also discussed. Finally, case studies have shown that NeuMF can better learn the latent characteristics of drugs, e.g., Irinotecan and Topotecan are found to act on the same pathway TOP1. The
conclusions are in line with some existing biological findings.

Conclusion:
NeuMF achieves better prediction accuracy than existing models, and its output is biologically interpretable. NeuMF also helps analyze the correlations between drugs.