bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross-lagged analysis of the relationship between risk perception, physical activity, and adolescent mental health
Authors: Li Siyuan , Wang Ying 
Published: March 2023

Abstract

Background
Anxiety symptoms were prevalent in teenagers during the new coronavirus pandemic at 31% and depression symptoms were at 34%, both significantly higher than they were before the pandemic, according to research on global adolescent mood disorders during the epidemic. It is unclear, nevertheless, if physical activity still promotes mental health given the perceived danger of sickness, even though it has been demonstrated to be useful in reducing teenage mental health issues. Therefore, this study looked into the relationship between teenage mental health, risk perception, and physical activity.
Methods
In December 2022 and January 2023, two surveys were given to the same pupils in five high schools. During the New Crown pandemic, the risk perception scores, physical activity levels, and mental health of adolescents were examined in the study N=344.
Results
For adolescents' risk perceptions, there were significant gender differences (P＜0.01), with gender difference effects of 0.255 (d = 0.416) and 0.195 (d = 0.402) for the two measurements, respectively. For mental health, there were gender differences, with gender difference effects of 0.159 (d = 0.262) and 0.179 (d = 0.278) for the two measurements. The levels of risk perception, physical activity, and teenage mental health met persistent connections across months with contemporaneous correlations, however gender differences in physical activity levels were not significant (p > 0.05); Contrarily, in the cross-lagged study, males had higher levels of physical activity and mental health than females, and teenagers' risk perception was higher. Physical activity and mental health were both predicted by T1 ( values of 0.28, 0.19, and P＜0.01, respectively). Risk perception T1 physical exercise T2 mental health T2 (mediating value impact of 0.012, the Z value of 0.112), as well as the indirect effect of Bootstrap, were all able to predict mental health T2 (β= 0.33, P ＜0.01). Indicating a substantial mediating role for physical activity between risk perception and mental health is the 95% CI, not the 0 value from this pathway.
Conclusion
Raising awareness of physical activity among adolescents according to gender is important for improving mental health and there is a longitudinal causal relationship between perceived risk of disease, physical activity, and mental health among adolescents, suggesting that physical activity still has a role in mental health in the presence of risk perception.
Clocking effect on the internal flow field and pressure fluctuation of PAT based on entropy production theory
Authors: Zhang Yang , Qi Shuaiwei , Jiang Wei , Xu Lei , Wang Yuchuan , Chen Diyi 
Published: March 2023

Abstract
The high-quality development of energy is closely related to the efficiency of energy utilization, and improving the hydraulic performance of the pump as turbine ( PAT ) has become increasingly important. In order to explore the influence mechanism of the clocking effect on the hydraulic performance of the pump as turbine, the energy loss analysis method based on entropy production theory is used to explore its hydraulic performance and internal flow characteristics. The results show that the clocking effect has an impact on the pump as turbine at all flow rates. Compared to the initial scheme, the efficiency of the C6 scheme is improved by 1.60% and 1.93% at the design and overload conditions. With the increase of the guide vane clocking angle, the flow field near the tongue and guide vane is improved, and the loss of the vortices in the volute is weakened, which in turn improves the hydraulic performance of the PAT. The effect of the clocking effect on pressure pulsation at low flow rates is more significant, and the C6 scheme has the best pressure pulsation characteristics. The research in this paper reveals the cause of the clocking effect, which can provide a theoretical basis for the hydraulic optimization of the pump as turbine.
Mining local exome and HLA data to characterize actionable pharmacogenetic variants in Saudi Arabia
Authors: Abouelhoda Mohamed , Almuqati Noura , Goach Ahmad Abu , Alfuraih Firas , Maddirevula Sateesh , Alkuraya Fowzan 
Published: March 2023

Abstract
Pharmacogenomics (PGX) is a promising field of precision medicine where efficacy of drugs is maximized while side effects are minimized for individual patients. Knowledge of the frequency of PGX-relevant variants in the local population is a pre-requisite to informed policy making. Unfortunately, such knowledge is largely lacking from the Middle East. Here, we describe the use of a large clinical exome database (n=13,473) and HLA haplotypes (n=64,737) from Saudi Arabia, one of the largest countries in the Middle East, to ascertain allele frequencies of known PGX variants. In addition, we queried another exome database (n=816) of well-phenotyped research subjects from Saudi Arabia to discover novel PGX candidate variants. Although our results show that only 26% (63/242) of class 1A/1B PharmGKB variants were identified, we estimate that 99.57% of the local population have at least one PGX variant (class 1A/1B PharmGKB). This translates to a minimum estimated impact of 9% of medications dispensed by our medical center annually. We also highlight the contribution of rare variants where 71% of the genes devoid of common PGX variants had at least one potentially deleterious rare variant. Thus, we show that approaches that go beyond the use of commercial PGX kits that have been optimized for other populations should be implemented to ensure universal and equitable access of all members of the local population to personalized prescription practices.
Application of embedded voice and digital forensics system in financial cost management
Authors: Lin Yang 
Published: March 2023

Abstract
This article first describes the embedded voice processing process, and uses the two-door restriction method for endpoint detection. Next, the wavelet+MFCC algorithm is proposed. The Fourier transform will replace it with ripple. The disadvantage of the ripple is that the size of the Fourier transform window cannot move with frequency. On this basis, the overall goal of the system is proposed, the overall structure is constructed, and the functions of the system are divided. Android mobile phone data collection technology has been extensively researched, including logical search, temporary access to permissions, JTAG search and ISP search. The design and implementation of the logical search engine based on root authority, the physical search engine based on Qualcomm processor, and the data analysis system have been completed, and the evidence collection of e-commerce applications has been completed. Based on the digital forensics system, this article studies and designs an Android device digital forensics system suitable for China's national conditions and laws from the three perspectives of data collection, analysis and storage. At the same time, brainstorming methods must be used between corporate financial management and cost management personnel. Finally, through research, scientifically construct the framework of the financial cost management system, distinguish the various requirements of the construction system, classify the importance, urgency, and feasibility of the requirements, establish the basic requirements and extension requirements, set the demand function to complete the schedule and Perform as planned. Through the research of embedded voice and digital forensics system, this paper applies it to the research of financial cost management, thereby promoting the development of enterprise financial management.
Propensity score-matched analysis of oncological and functional outcomes of submental island flap versus radial forearm free flap for oral cavity cancer reconstruction
Authors: Sittitrai Pichit , Ruenmarkkaew Donyarat , Kumkun Chananchida , Srivanitchap Chonticha 
Published: March 2023

Abstract
Background
The aim of this study is to compare the oncological and functional outcomes of the submental island flap versus the radial forearm free flap used for oral cavity cancer reconstruction after minimizing differences in baseline characteristics.
Methods
Propensity scores for each oral cavity cancer patients who underwent surgical resection and immediate reconstruction with a submental island flap or a radial forearm free flap with a flap size ≤ 60 cm2 between October 2008 and December 2021 were generated based on the likelihood of being selected given their baseline characteristics. Patients were matched using a 1:1 nearest-neighbor approach.
Results
The final matched-pair analysis included 51 patients in each group. The 5-year overall survival, disease-specific survival, and locoregional control rates were 70.1% and 64.8% (p = 0.612), 77.3% and 83.7% (p = 0.857), and 76.1% and 73.3% (p = 0.664), respectively, for the submental island flap group and the radial forearm free flap group. Speech and swallowing functions were comparable between groups. However, there were significantly lower rates of complication associated with both donor and recipient sites in the submental island flap group and also the duration of hospital stay and hospital costs were significantly lower in these patients. A subgroup analysis of patients in which the reconstruction was carried out using the submental island flap procedure revealed that the presence of clinically and pathologically positive level I lymph nodes did not affect survival or locoregional control rates.
Conclusions
Although this study was not randomized, the matched-pair analysis of surgically treated oral cavity cancer patients showed that submental island flap reconstruction is as effective as radial forearm free flap reconstruction with regard to oncological and functional outcomes with lower complication rates, hospital stay, and hospital costs. This flap can be safely and effectively performed in selected cases with clinically and pathologically positive level I lymph nodes.
A mathematical interpretation for outbreaks of bacterial meningitis under the effect of time-dependent transmission parameters
Authors: Türkün Can , Gölgeli Meltem , Atay Fatihcan Mehmet 
Published: March 2023

Abstract
We consider a SIR-type compartmental model divided into two age classes to explain the seasonal exacerbations of bacterial meningitis, especially among children outside of the meningitis belt. We describe the seasonal forcing through time-dependent transmission parameters that may represent the outbreak of the meningitis cases after the annual pilgrimage period (Hajj) or uncontrolled inflows of irregular immigrants. We present and analyze a mathematical model with time-dependent transmission. We consider not only periodic functions in the analysis but also general non-periodic transmission processes. We show that the long-time average values of transmission functions can be used as a stability marker of the equilibrium. Furthermore, we interpret the basic reproduction number in case of time-dependent transmission functions. Numerical simulations support and help visualize the theoretical results.
Mathematics Subject Classification (2020) 93A30 · 92D30 · 34A34
Assessment of Automated Threshold selection methods and Flood Frequency Analysis of Hydrological extremes.
Authors: Ghaleh Laleh Rezaei , Rezaie Hossein , Ghorbani Khalil 
Published: March 2023

Abstract
Flood Frequency Analysis (FFA) is a popular approach providing important information about the frequency of future extreme values. Employing this information can be very effective for better planning, design, and operation of flood protection defenses, which leads to more reliable watershed management. The present study, considering Haji-Ghoshan, Ghouchmaz, and Ghareh-Shour hydrometric stations of the Gorgan Roud River basin as the study area, examined the behavior of six different GPD parameter estimators using Monte-Carlo simulations, compares three automated threshold selection techniques based on POT and finally evaluates the performance of each threshold selection methods using NRMSE and relative index of agreement. The results indicate that in all stations the SE method provided smaller thresholds than other threshold selection techniques. Short tail distribution is provided for the normality of differences method in in Haji-Ghoshan and Ghouchmaz stations. The SE, MAX PV, and Cramer-von Mises/Kolmogorov-Smirnov methods provided the optimum thresholds based on\({r_d}\)and NRMSE in Haji-Ghoshan, Ghouchmaz and Ghareh-Shour stations, respectively.
Reanalysis of Linear Accelerator Use Factors for Shielding Calculations based on DICOM-RT
Authors: Choi Dong Hyeok , Ahn Sohyun , Park So Hyun , Kim Dong Wook , Ahn Woo Sang , Lee Rena , Kim Jin Sung 
Published: March 2023

Abstract
Our study reanalyzed the use factor of linear accelerators (LINACs) by using an in-house program based on Digital Imaging and Communications in Medicine radiation therapy (DICOM-RT). We took into account the impact of advancements and changes in treatment trends, including modality, technology, and radiation dose. The use factor was calculated for four LINACs in three hospitals and compared with that of the NCRP 151 report. We analyzed the results based on the treatment techniques and treatment sites for three-dimensional conformal radiation therapy (3D CRT) and intensity modulated radiation therapy or volumetric modulated arc therapy. Our findings revealed that the use factors obtained at 45° and 90° were 14.8% and 13.5% higher than those of the NCRP 151 report. In treatment rooms with a high 3D CRT ratio, the use factor at a specific angle differed by up to 14.6% relative to the NCRP 151 report value. Additionally, the use factors for different treatment sites, especially for breast and spinal treatments, were significantly different from those of the NCRP 151 report.
Delphi panel to obtain clinical consensus about using long-acting injectable antipsychotics to treat first-episode and early-phase schizophrenia: Treatment goals and approaches to functional recovery
Authors: Arango Celso , Fagiolini Andrea , Gorwood Philip , Kane John M. , Diaz-Mendoza Sergio , Sahota Navdeep , Correll Christoph U 
Published: March 2023

Abstract
Background
Schizophrenia is mostly a chronic disorder whose symptoms include psychosis, negative symptoms and cognitive dysfunction. Poor adherence is common and related relapse can impair outcomes. Long-acting injectable antipsychotics (LAIs) may promote treatment adherence and decrease the likelihood of relapse and rehospitalization. Using LAIs in first-episode psychosis (FEP) and early-phase (EP) schizophrenia patients could benefit them, yet LAIs have traditionally been reserved for chronic patients.
Methods
A three-step modified Delphi panel process was used to obtain expert consensus on using LAIs with FEP and EP schizophrenia patients. A literature review and input from a steering committee of five experts in psychiatry were used to develop statements about patient population, adverse event management, and functional recovery. Recruited Delphi process psychiatrists rated the extent of their agreement with the statements over three rounds (Round 1: paper survey, 1:1 interview; Rounds 2–3: email survey). Analysis rules determined whether a statement progressed to the next round and the level of agreement deemed consensus. Measures of central tendency (mode, mean) and variability (interquartile range) were reported back to help panelists assess their previous responses in the context of those of the overall group.
Results
The Delphi panelists were 17 psychiatrists experienced in treating schizophrenia with LAIs, practicing in seven countries (France, Italy, US, Germany, Spain, Denmark, UK). Panelists were presented with 73 statements spanning three categories: patient population; medication dosage, management, and adverse events; and functional recovery domains and assessment. Fifty-five statements achieved ≥ 80% agreement (considered consensus). Statements with low agreement (40%-79%) or very low agreement (< 39%) concerned initiating dosage in FEP and EP patients, and managing loss of efficacy and breakthrough episodes, reflecting current evidence gaps. The panel emphasized benefits of LAIs in FEP and EP patients, with consensus that LAIs can decrease the risk of relapse, rehospitalization, and functional dysfunction. The panel supported links between these benefits and multidimensional longer-term functional recovery beyond symptomatic remission.
Conclusions
Findings from this Delphi panel support the use of LAIs in FEP and EP schizophrenia patients regardless of disease severity, number of relapses, or social support status. Gaps in clinician knowledge make generating evidence on using LAIs in FEP and EP patients critical.
Virtualized Resource Provisioning for Hybrid Cloud Computing Services Using Optimal Data Analytics
Authors: G Sathish , KATIRAVAN JEEVAA 
Published: March 2023

Abstract
Resource Provisioning is the important method to offer cloud as services to the user. Nowadays cloud computing has multiple access and application levels. We need a hybrid and virtualized method to provide efficient resource provisioning method. In existing resources can be offered based on user request or availability. But current scenario we need any time access privilege based services offering systems. Also data analytics is another factor to analyse the data and make effective decision making approach. We propose an efficient virtualized dynamic resource provisioning method for cloud application and virtualized optimizer for topological cloud management. We prepare optimal data analytics method to predict the accuracy and performance of cloud access and resources. In this paper automated machine learning technique is applied to measure the temporal features and queuing results. In this case loads are distributed to server and optimize the cloud using service level agreement. Our research method can provide the result of time service analysis, accuracy index, performance factors and optimality value. Also our method can test over provisioning and energy consumption. We use CloudSim for simulating cloud environment and TensorFlow for testing accuracy using Deep belief network optimization.
Genotype-Degree of hemolysis Correlation in Hereditary Spherocytosis
Authors: Shi Yimeng , Li Yuan , Yang Xiawan , Li Xiaoxia , Peng Guangxin , Zhao Xin , Liu Xu , Zhao Yufei , Hu Jing , Hu Xiangrong , Zhang Baohang , Zhou Kang , Yang Yang , Xiong Youzhen , Li Jianping , Fan Huihui , Yang Wenrui , Ye Lei , Jing Liping , Zhang Li , Zhang Fengkui 
Published: March 2023

Abstract
Objective:To investigate the potential genotype-degree of hemolysis association in hereditary spherocytosis (HS).
Methods: 23 HS patients in our cohort all conducted next-generation sequencing (NGS) to detect erythrocyte membrane protein gene mutations and Levitt's carbon monoxide (CO) breath test to detect erythrocyte (RBC) lifespan. The data of RBC lifespan were statistically analyzed according to different mutation genes, types and sites.
Results: There were 8 ANK1,9 SPTB,5 SLC4A1 and 1 SPTA1 mutations in our cohort, and the median RBC lifespan of 23 HS patients was 14(8-48) days. The median RBC lifespan of patients with ANK1, SPTB and SLC4A1 mutations was 13(8-23), 13(8-48) and 14(12-39) days, with no statistically significant difference(P=0.618). The median RBC lifespan of patients with missense, splice and nonsense/insertion/deletion mutations was 16.5 (8-48), 14 (11-40) and 13(8,-20) days, respectively, with no statistical difference(P=0.514). The median RBC lifespan of patients with mutations located in the spectrin-binding domain and the non-spectrin-binding domain was 14(8-18) and 12.5(8-48) days, with no statistical difference(P=0.959). 25% of patients with mild hemolysis carried ANK1 or SPTA1 mutations and 75% carried SPTB or SLC4A1 mutations, while 46.7% of patients with severe hemolysis had ANK1 or SPTA1 mutations and 53.3% had SPTB or SLC4A1 mutations. The composition of mutated genes did not differ statistically between the two groups(P=0.400).
Conclusion: This is the first study focusing on the genotype-degree of hemolysis association in HS. Our findings indicate that there is no clear correlation between genotype and degree of hemolysis in HS.
Null Broadening Beamforming for Passive Sonar Based on Weighted Similarity Vector
Authors: Wang Yuhao , Zhang Zhenkai 
Published: March 2023

Abstract
Beamforming technology is very important for passive sonar to detect targets. However, the performance of beamformer is seriously degraded in practical applications due to the complex and changeable underwater environment. In this paper, a null broadening algorithm for passive sonar based on weighted similarity vector is proposed for underwater fast moving strong interference signals. First, The covariance matrix is reconstructed through the correlation between the steering vector and the subspace eigenvector, which is used to calculate the similarity vector. Then, the maximum power in the interference angle sector is used as the virtual interference source power to broaden the null trap in the angle sector. Next, the difference between the optimal weight vector and the similar vector is minimized, interference-plus-noise power constraints and norm constraints are added, and it is written as a quadratic constrained quadratic programming (QCQP) problem, which is converted into a convex optimization problem by using the semidefinite relaxation technique. Finally, the optimal solution is calculated by using eigen decomposition. The simulation results show that the algorithm can guarantee deep nulling and effectively suppress sidelobe height under various error conditions, which shows that the proposed algorithm has good suppression effect and strong robustness for fast strong interference.