bluuebunny/crossref_metadata_2025_split huggingface dataset:
Addiction to medical websites post COVID-19 pandemic: A predictor of Illness Anxiety Disorder among Arabian youth
Authors: Hamid Mohamed , Mohamed Nagwa , Rivera Rita M. , Carballea Denise , Hamza Eid Abo 
Published: December 2022

Abstract

Background
The coronavirus (COVID-19) pandemic has significantly impacted every region of the world. During these unprecedented times, individuals have been experiencing severe mental health issues concerning excessive internet usage.
Methods
This study examined he relationship between addiction to medical websites and behaviors related to Illness Anxiety Disorder among a population of Arabic university students. A sample consisting of N = 368 youths was examined.
Results
Statistical analysis was conducted in the form of bivariate linear regression, Z score, R2, t-test, ANOVA, mean and standard deviation. Results: The analysis results found a linear equation predicting illness anxiety among youths. The correlation between the addiction to medical websites and hypochondria was found as 0.69.
Conclusions
Findings supported the notion that addiction to medical websites significantly predicts hypochondria.
“I am not alone”. The experiences of young females with type 1 diabetes participating in eating disorders prevention groups. A qualitative feasibility study
Authors: Hage Trine Wiig , Nilsen Jan-Vegard , Karlsen Katrine M , Lyslid Martine H , Wennersberg Anne Louise , Wisting Line 
Published: December 2022

Abstract
Objective
The overall aim of the current study was to qualitatively explore the feasibility of eating disorder prevention groups.
Method
A generic qualitative focus group design was applied. 17 participants accepted the invitation to attend focus group interviews after completing the intervention. Five focus groups were conducted in total.
Results
The qualitative analysis generated one overarching theme, named the benefit of meeting peers with a lived experience of T1D and body image concerns, and four themes: the need for an integrated focus on diabetes, personal relevance, providing sufficient balance between structure and flexibility and enabling a different perspective.
Conclusion
Results show overall positive feedback regarding the content and structure of the intervention, and underline the importance of targeting preventive efforts to specific risk groups.
Graphene Nanoplatelet/Cellulose Acetate Composite Film with Simultaneously and Significantly Enhanced Antistatic, Thermal Dissipative and Mechanical Properties for Packaging
Authors: Gao Zijun , Li Yao , Huang Pei , Zou Rui , Li Yuanqing , Fu Shaoyun Y. 
Published: December 2022

Abstract
With the increased concern over environment protection, cellulose acetate (CA) has drawn great interests as an alternative for packaging material due to its biodegradability and abundant resources; whereas, the poor antistatic property and thermal conductivity restrict its application in packaging. In this work, we propose a simple but effective strategy to produce high performance graphene nanoplatelet (GNP)/CA composite films via the consecutive homogenization and solvent cast processes. Relying on the spontaneous absorption of CA during homogenization, the GNP/CA produced shows an excellent dispersibility in the N,N-Dimethylformamide (DMF) solution and much less structural defects compared with GNP alone. As a result, the composite film obtained shows simultaneously and significantly enhanced antistatic, heat dissipative and mechanical properties compared to the CA case. Specifically, the GNP/CA composite with the optimal formula produced has promising overall performances (namely, surface resistivity of 1.14×107 Ω/sq, in-plane thermal conductivity of 5.359 W · m-1 · K-1, out-of-plane thermal conductivity of 0.785 W · m-1 · K-1, and tensile strength of 37.1 MPa). Featured by its promising overall properties, simple production processes and biodegradability, the as-prepared GNP/CA composite film shows a great potential for application in packaging.
Regularizers to the Rescue: Fighting Overfitting in DeepLearning-based Side-channel Analysis
Authors: Rezaeezade Azade , Batina Lejla 
Published: December 2022

Abstract

Despite considerable achievements of deep learning-based side-channel analysis, overfitting represents a significant obstacle in finding optimized neural network models. This issue is not unique to the side-channel domain. Regularization techniques are popular solutions to overfitting and have long been used in various domains. At the same time, the works in the side-channel domain show sporadic utilization of regularization techniques. What is more, no systematic study investigates these techniques’ effectiveness. In this paper, we aim to investigate the regularization effectiveness by applying four powerful and easy-to-use regularization techniques to six combinations of datasets, leakage models, and deep-learning topologies. The investigated techniques are L1, L2, dropout, and early stopping. Our results show that while all these techniques can improve performance in many cases, L1 and L2 are the most effective. Finally, if training time matters, early stopping is the best technique to choose.
Investigating spatial and temporal trend of groundwater quality in relation to water balance components (A case study of Chaharmahal va Bakhtiari Province, Iran)
Authors: Zamani-Ahmadmahmoodi Rasool , Bayati Samira , Abdollahi Khodayar , Gharahi Nasrin , Isa-Abadi Ali Raeisi , Chamani Atefeh 
Published: December 2022

Abstract
One of the problems of water resources in Iran is excessive drop in groundwater level, in which Chaharmahal va Bakhtiari province, located in this country, is no exception․ In this study, the trend of spatial and temporal changes in groundwater quality and water balance and the relationship between them in this province were investigated. The WetSpass-M distribution model was used due to the capability of distribution models in simulating watershed hydrological processes. The results showed good accuracy of the model in simulating runoff and basal flow of the study basin. The trend of water quality changes was investigated by calculating the IRWQI index and preparing its zoning maps. For this purpose, 132 samples of well water in different areas of the study were prepared in 2007 to 2017. Spatial distribution maps showed that the groundwater quality in the north and northeast of the region was lower than in other parts. Also, groundwater quality had declined over time. In rangeland, groundwater quality was better and nitrate level was lower than in agriculture and buildup land uses. Also, the relationship between nitrate and drought with water quality was seen due to the similar color pattern in their zoning maps in the region. The correlation between groundwater quality parameters and water balance components also showed a weak correlation on an annual scale and a strong correlation between some parameters in some wells on a monthly scale.
Multi-Modal Fine-Grained Activity Recognition and Prediction in Assembly
Authors: Chen Haodong , Zendehdel Niloofar , Leu Ming C. , Yin Zhaozheng 
Published: December 2022

Abstract

Assembly activity recognition and prediction help to improve productivity, quality control, and safety measures in smart factories. This study aims to sense, recognize, and predict a worker's continuous fine-grained assembly activities in a manufacturing platform. We propose a two-stage multi-modal network for workers' fine-grained activity recognition by leveraging scene-level and temporal-level activity features. The first stage is a feature awareness block that learns scene-level features from red-green-blue (RGB) and hand skeleton frames. We use the transfer learning method in the first stage and compare three different pre-trained feature extraction models. Then, we transmit the feature information from the first stage to the second stage to learn the temporal-level features of activities. The second stage consists of the Recurrent Neural Network (RNN) layers and a final classifier. We compare the performance of two different RNNs in the second stage, including the Long Short-Term Memory (LSTM) and the Gated Recurrent Unit (GRU). The partial video observation method is used in the prediction of fine-grained activities. In the experiments using the trimmed activity videos, our model achieves an accuracy of > 99% on our dataset and > 98% on the public dataset UCF 101, outperforming the state-of-the-art models. The prediction model achieves an accuracy of > 97% in predicting activity labels using 50% of the onset activity video information. In the experiments using an untrimmed video with continuous assembly activities, we combine our recognition and prediction models and achieve an accuracy of > 91% in real time, surpassing the state-of-the-art models for the recognition of continuous assembly activities.
Detection of cytomegalovirus in bronchoalveolar lavage fluid from immunocompromised patients with pneumonitis by viral culture and DNA quantification
Authors: Berengua Carla , Miró E. , Gutiérrez C. , Sánchez M. , Mulero A. , Ramos P. , Cuerpo M. , Torrego A. , García-Cadenas I. , Pajares V. , Navarro F. , Martino R. , Rabella N. 
Published: December 2022

Abstract
Purpose
To compare the detection of human cytomegalovirus (HCMV) in bronchoalveolar lavage (BAL) fluid by viral culture and quantitative polymerase chain reaction (qPCR), and to establish a viral load threshold that can identify cases of HCMV replication indicative of pneumonitis. There is currently no universal viral load cut-off to differentiate between patients with and without pneumonitis, and the interpretation of qPCR results is challenging.
Methods
176 consecutive BAL samples from immunosuppressed hosts with signs and/or symptoms of respiratory infection were prospectively studied by viral culture and qPCR.
Results
Concordant results were obtained in 81.25% of the BAL samples. The rest (18.75%) were discordant, as only 34% of the qPCR-positive BAL samples were positive by culture. The median HCMV load was significantly higher in culture-positive than in culture-negative BAL samples (25,188 vs 890 copies/mL). HCMV was isolated in 100% of the BAL cultures with a viral load of > 4,500 copies/mL.
Conclusion
Availability of reference values for the HCMV load in BAL fluid facilitates the interpretation of qPCR results and clinical decision-making. We found that a negative PCR test was a quick and reliable way of ruling out HCMV pneumonitis, but a positive result did not always indicate clinically significant replication in the lung. However, an HCMV load in BAL fluid of > 4,500 copies/mL was always associated with the disease, whereas < 1,000 copies/mL rarely so. These data may be useful for centres without access to gold-standard techniques.
A Comprehensive Survey of Feature Selection Techniques based on Whale Optimization Algorithm
Authors: Ebrahimabadi Mohammad Amiri , Mansouri Najme 
Published: December 2022

Abstract
A large number of features is the main problem in big data, leading to the curse of dimensionality. Meanwhile, feature selection is suggested as a solution. The process of feature selection consists of adding relevant features to a neural model and eliminating irrelevant or redundant ones. The feature selection community has recently been drawn to swarm intelligence techniques due to their simplicity and potential global search capabilities. A straightforward overview of the newest research in the feature selection field is provided here using a nature-inspired metaheuristic method called Whale Optimization Algorithm (WOA). Research is expected to be presented in terms of various types of state-of-the-art methods and their advantages and disadvantages, encouraging researchers to investigate more advanced approaches. A discussion of possible limitations and issues for future research is included as well as guidance for practitioners on selecting appropriate methods for real-world situations.
Fabrication, characterization and adsorption investigation of Nano zinc oxide–sodium alginate beads for effective removal of chromium (VI) from aqueous solution
Authors: Hezma A. M. , Shaltout Walaa A. , Kabary Hoda A. , El-Bahy Gamal S. , Abdelrazzak Abdelrazek B. 
Published: December 2022

Abstract
Zinc oxide nanoparticles (ZnO-NPs) were prepared by modified wet chemical method while alginate-zinc oxide (Alg-ZnO) composite was synthesized by the interaction between the prepared zinc oxide nanoparticles and calcium alginate. The solid adsorbents were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), transmission electron microscopy (TEM), and UV-Vis spectroscopy. Adsorption isotherms of chromium ions were investigated onto the prepared solid adsorbents with varying the initial concentration of Cr(VI) under different application conditions such as pH, contact time, adsorbent dosage, and temperature. Adsorption of Cr(VI) was investigated by different isotherm models like Langmuir, Freundlich, Temkin and Dubinin-Radushkevich models. Maximum adsorption capacities (31.09 and 34.63 mg/g) were achieved by ZnO-NPs and Alg-ZnO, respectively at 25 ℃. The results of isotherm models indicate the perfect applicability of Langmuir and Dubinin-Radushkevich models, revealing the dominance of monolayer and the physisorption of chromium ions onto the studied adsorbents.
Deepening Fiscal Decentralization as a Path to Fiscal Responsibility? A Comparison of the Czech Republic and Turkey
Authors: Babaoğlu Cenay , Sobotková Lucie , Sobotka Martin , Köktaş Murat Altuğ , Kulaç Onur 
Published: December 2022

Abstract

The article deals with the issue of fiscal decentralization in relation to compliance with fiscal discipline at the municipal level. The article evaluates the situation of selected Czech and Turkish cities. In the case of Czech cities, so-called statutory cities were selected, which, due to their size and budget, have a certain independence from the central government. In the case of Turkish cities, the largest ones were analyzed, which also have a high degree of autonomy due to their size. The unifying element of both samples is approximately similar financing conditions. In both cases, shared taxes are used, but they are in the hands of the central government, and the municipalities have no possibility to influence them. In the case of municipalities, they can receive subsidies from the central government. From the perspective of fiscal responsibility management, relations with the central government appear to be a stabilizing element. However, at the same time, strengthening revenues associated with local government could also support fiscal discipline. In particular, this possibility would be significant in the case of smaller municipalities when the share of local income in total income is increasing. Another option for discussion is the availability of debt financial instruments. In the case of Turkish cities, fiscal discipline is significantly correlated with external debt. Although Czech municipalities can easily access debt financial instruments, they cannot use foreign financing.
JEL Classification: C33, C35, H71, H72, H77
Stability and large time behavior for 2D Boussinesq system with horizontal dissipation and horizontal diffusion
Authors: Wan Yaqi , Chen Xiaoli , Chen Dongxiang 
Published: December 2022

Abstract
This paper is concerned with two dimensional Boussinesq equations involving the horizontal dissipation in the first component of the velocity and horizontal temperature diffusion. Due to the lack of vertical dissipation in the horizontal velocity component and full dissipation in the vertical velocity component, this problem becomes more challenging than that in [15]. When the spatial domain is Ω = T × R with T = [0, 1] being a 1D periodic box, we establish the stability and build the precise large-time behavior of perturbations near the hydrostatic equilibrium. We further prove that the oscillation parts of the velocity and the temperature only share the decay rate as (1 + t)− 1/2.
Allele-specific Effects of Three-dimensional Genome Architecture in Hybrid Pigs
Authors: Li Mingzhou 
Published: December 2022

AbstractIn diploid mammals, allele-specific three-dimensional (3D) genome architecture may lead to imbalanced gene expression. Through ultradeepin situHi-C sequencing of three representative somatic tissues (liver, skeletal muscle, and brain) from hybrid pigs generated by reciprocal crosses of phenotypically and physiologically divergent Berkshire and Tibetan pigs, we uncover extensive chromatin reorganization between homologous chromosomes across multiple scales. Haplotype-based interrogation of multi-omics data revealed the tissue-dependence of 3D chromatin conformation, suggesting that parent-of-origin-specific conformation may drive gene imprinting. We quantify the effects of genetic variations and histone modifications on allelic rewiring of long-range promoter-enhancer contacts, which likely contribute to the dramatic phenotypic differences between the parental pig breeds. This study also provides definitive evidence of structured homolog pairing in the pig genome which could facilitate regulatory interactions between homologous chromosomes. This work illustrates how allele-specific chromatin architecture facilitates concomitant shifts in allele-biased gene expression, and consequently phenotypic changes in mammals.
MAFLD in Obesity with Deteriorating Glucose Control
Authors: Forst Thomas , Botz Isabel , Berse Matthias , Voswinkel Stephan , Strempler Mares-Elaine , Baumann Sybille , Schultz Armin 
Published: December 2022

AbstractBackground: The incidence of metabolic dysfunction- associated fatty liver disease (MAFLD) is rising in parallel with increasing bodyweight and loss of glucose control, implicating a high risk of hepatic and extra-hepatic complications. Subjects / Methods: This longitudinal observational study analysed several indicators for MAFLD in 240 overweight subjects (body mass index (BMI) > 28 kg/m²) at 2 visits within in average 16 months. Subjects were categorised according to their insulin sensitivity (HOMAIR) and diabetic status. Methods: Liver fat and liver stiffness were measured with sonographic elastography (FibroScan®), and by calculation of Fatty Liver Index (FLI), and NAFLD Fibrosis Score (NFS). Results: Parameters indicative for liver steatosis, i.e., the controlled attenuation parameter (CAP) and the FLI, were significantly higher in the T2DM group compared to the normal glucose tolerance (NGT) and impaired glucose tolerance (IGT) groups (p<0.05). FLI values and the HOMAIRsignificantly correlated with sonographic liver fat content (CAP) (r=0.53, p<0.0001; r=0.34, p<0.001, respectively). An inverse correlation was observed between serum adiponectin levels and CAP (r=-0.20; p<0.019) and adiponectin levels and FLI (r=-0.37; p<0.0001). Over 16 months, fasting insulin levels and HOMAIRscore increased mainly driven by the group of obese subjects with T2DM. No significant change in liver fat or stiffness was observed that period. Conclusions: In subjects with a BMI ≥ 28kg/m², the prevalence of MAFLD increases in line with increasing insulin resistance and loss of glucose control. Despite some further deterioration in insulin sensitivity, liver fat content appeared relatively unchanged over 16 months.
Machine learning revealed inflammatory features and a novel risk score-based classification with appealing implications in discriminating the prognosis, immunotherapy and chemotherapy
Authors: Bai Weiyu , Bai Weiyu 
Published: December 2022

Abstract
Breast cancer is the most common and ranks the second cause of related cancer-related death in women. However, the relationship between inflammation-related gene signatures and the prognosis of breast cancer remains elusive. We constructed inflammation related gene features to evaluate the prognosis, immunotherapy, inflammatory response and chemotherapy of breast cancer patients, including 4073 breast cancer patients (TCGA: 1104, GEO: 2969).
● Through univariate Cox regression, LASSO, stepwise regression, and multiple Cox regression analyses, we found that the signatures of inflammatory genes (including 12 genes) can be used to classify breast cancer patients. Patients in the higher risk score group had a poorer prognosis, often accompanied by a higher abundance of macrophages and a lower abundance of lymphocytes, suggesting that inflammation was present in high-risk individuals.
● Tumor mutational burden (TMB) and drug sensitivity analysis showed that PD 0332991, ROSCOVITINE has a higher drug sensitivity to the treatment of low-risk inflammatory breast cancer, while it has a higher drug sensitivity to high-risk patients than carlumide and imatinib.
● Based on risk scores and clinical data, we use training sets and test sets to build nomographs that can be used to calculate patient survival.
Our study provides not only insights into the identification of breast cancer patients with poor prognoses, but also treatment strategiesfor breast cancer patients.
The Peptidyl-Prolyl cis-trans Isomerase, Pin1, Associates with Protein Kinase C θ (PKCθ) via a Critical Phospho-Thr-Pro Motif in the V3 Regulatory Domain
Authors: Anto Nikhil Ponnoor , Muraleedharan Amitha , Nath Pulak Ranjan , Sun Zuoming , Keasar Chen , Livneh Etta , Braiman Alex , Altman Amnon , Kong Kok-Fai , Isakov Noah 
Published: December 2022

Abstract

Protein kinase C-θ (PKCθ) is a member of the novel PKC subfamily known for its selective and predominant expression in T lymphocytes where it regulates essential functions required for T cell activation and proliferation. Our previous studies provided a mechanistic explanation for the recruitment of PKCθ to the center of the immunological synapse (IS) by demonstrating that a proline-rich (PR) motif within the V3 region in the regulatory domain of PKCθ is necessary and sufficient for PKCθ IS localization and function. Herein, we highlight the importance of Thr335-Pro residue in the PR motif, the phosphorylation of which is key in the activation of PKCθ and its subsequent IS localization. We demonstrate that the phospho-Thr335-Pro motif serves as a putative binding site for the peptidyl-prolyl cis-trans isomerase (PPIase), Pin1, an enzyme that specifically recognizes peptide bonds at phospho-Ser/Thr-Pro motifs. Binding assays revealed that mutagenesis of PKCθ-Thr335-to-Ala abolished the ability of PKCθ to interact with Pin1, while Thr335 replacement by a Glu phosphomimetic, restored PKCθ binding to Pin1, suggesting that Pin1-PKCθ association is contingent upon the phosphorylation of the PKCθ-Thr335-Pro motif. Similarly, the Pin1 mutant, R17A, failed to associate with PKCθ, suggesting that the integrity of the Pin1 N-terminal WW domain is a requisite for Pin1-PKCθ interaction. In silico docking studies underpinned the role of critical residues in the Pin1-WW domain and the PKCθ phospho-Thr335-Pro motif, to form a stable interaction between Pin1 and PKCθ. Furthermore, TCR crosslinking in human Jurkat T cells and C57BL/6J mouse-derived splenic T cells promoted a rapid and transient formation of Pin1-PKCθ complexes, which followed a T cell activation-dependent temporal kinetic, suggesting a role for Pin1 in PKCθ-dependent early activation events in TCR-triggered T cells. PPIases that belong to other subfamilies, i.e., cyclophilin A or FK506-binding protein, failed to associate with PKCθ, indicating the specificity of the Pin1-PKCθ association. Fluorescent cell staining and imaging analyses demonstrated that TCR/CD3 triggering promotes the colocalization of PKCθ and Pin1 at the cell membrane. Furthermore, interaction of influenza hemagglutinin peptide (HA307–319)-specific T cells with antigen-fed antigen presenting cells (APCs) led to colocalization of PKCθ and Pin1 at the center of the IS. Together, we point to an uncovered function for the Thr335-Pro motif within the PKCθ-V3 regulatory domain to serve as a priming site for its activation upon phosphorylation and highlight its tenability to serve as a regulatory site for the Pin1 cis-trans isomerase.