bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncertainty based Regional-Decision Fusion of Multispectral and nDSM for Ultra-High Resolution UAV Imagery
Authors: Soni Ashish , Koner Radhakanta , Villuri Vasant Govind Kumar 
Published: October 2022

Abstract
The recent advancement in the pattern recognition technique has demonstrated the superiority in remote sensing technology, where Deep neural network uses the spatial feature representation such as convolution neural network (CNN), to provide better generalization capability. Regardless of any CNN structure, the prediction always involves uncertainty and imprecision while classifying the ultra-high resolution (UHR) image. Our aim is two-fold: firstly, increase the reliability feature by performing the Dual-scale fusion via a modified Markov random field known as DuCNN-MMRF. Secondly, an integration framework was introduced to combine the multispectral image classification produced by DuCNN-MMRF and normalized-Digital Surface Model (nDSM) information, using a novel approach known as constraint-based Dempster Shafer theory (C-DST). C-DST targeted DuCNN-MMRF’s uncertain information (ambiguous information) and rectified it with complementary information. The complementary information (i.e., nDSM) was processed using conventional machine learning (ML) techniques such as Multilayer perceptron (MLP), Support vector machine (SVM) and Random Forest (RF). The integration approach also uses the Shannon entropy function to exploit the uncertain information of model prediction (i.e. DuCNN-MMRF) at the regional level and subdivide into the positive and negative regions. The positive region is trusted by DuCNN-MMRF, and the negative region was combined with DuCNN-MMRF and MLP (and others ML) in a restricted manner. An ultra-high resolution (UHR) images was collected with an unmanned aerial vehicle (UAV) in the semi-urban region of IIT, Dhanbad, India, and labeled with building features. In addition, ISPRS Potsdam dataset with five land cover classes (Tree, building, grassland, impervious surface, and car) was used. The proposed framework was tested with several combinations i.e. MMRF-SVM, MMRF-RF, MMRF-MLP, along with max-voting fusion. The MMRF-MLP yielded highest accuracy with 85.24% (Fmeasure) and 97.79%(OA), and 76.12%(Fmeasure) and 91.09%(OA), for study area and Potsdam dataset, respectively.
Roles considered important for hospitalist and non-hospitalist generalist practice in Japan: A survey study
Authors: Miyagami Taiju , Shimizu Taro , Kosugi Shunsuke , Kanzawa Yohei , Nagasaki Kazuya , Nagano Hiroyuki , Yamada Toru , Fujibayashi Kazutoshi , Deshpande Gautam A. , Kisuule Flora , Tazuma Susumu , Naito Toshio 
Published: October 2022

Abstract
Background: An increased focus on quality and patient safety led to the evolution of the hospitalist specialty. The number of hospitalists, who cover ward and outpatient care, is on the rise in Japan. However, it is unclear what roles hospitalists themselves consider important in their practice. Therefore, this study aimed to investigate what hospitalists and non-hospitalist generalists in Japan consider important for the practice of their specialty.
Methods:This was an observational study that included Japanese hospitalists (1) currently working in a general medicine (GM) or general internal medicine department and (2) working at a hospital. Using originally developed questionnaire items, we surveyed what they think are important to hospitalists and what are important compared to that for non-hospitalist generalists.
Results: There were 971 participants (733 hospitalist, 238 non-hospitalist) in the study. The response rate was 26.1％. Both hospitalists and non-hospitalists ranked evidence-based medicine as most important for their practice. Hospitalists ranked diagnosis and patient management as the second and third most important roles for their practice while non-hospitalists ranked patient management and elderly care as second and third.
Conclusions: This is the first study investigating what roles Japanese hospitalists consider important and compare those to that of non-hospitalist generalists. Many of the items that hospitalists responded to that they actually consider important were those that hospitalists in Japan are actually working on within and outside of academic societies. We found that diagnostic medicine, and quality and safety are likely to be evolved by hospitalists because they specifically emphasized them, while the care of the elderly is an issue that hospitalists should be more concerned about. Future expected research includes proposals on how to further enhance items that hospitalists emphasize and should focus on, as well as international comparisons regarding the items.
A fairness assessment of mobility-based COVID-19 case prediction models
Authors: Erfani Abdolmajid , Frias-Martinez Vanessa 
Published: October 2022

Abstract
In light of the outbreak of COVID-19, analyzing and measuring human mobility has become increasingly important. A wide range of studies have explored spatiotemporal trends over time, examined associations with other variables, evaluated non-pharmacologic interventions (NPIs), and predicted or simulated COVID-19 spread using mobility data. Despite the benefits of publicly available mobility data, a key question remains unanswered: are models using mobility data performing equitably across demographic groups? We hypothesize that bias in the mobility data used to train the predictive models might lead to unfairly less accurate predictions for certain demographic groups. To test our hypothesis, we applied two mobility-based COVID infection prediction models at the county level in the United States using SafeGraph data, and correlated model performance with sociodemographic traits. Findings revealed that there is a systematic bias in models’ performance toward certain demographic characteristics. Specifically, the models tend to favor large, highly educated, wealthy, young, urban, and non-black-dominated counties. We hypothesize that the mobility data currently used by many predictive models tends to capture less information about older, poorer, non-white, and less educated regions, which in turn negatively impacts the accuracy of the COVID-19 prediction in these regions. Ultimately, this study points to the need of improved data collection and sampling approaches that allow for an accurate representation of the mobility patterns across demographic groups.
Wear Properties Evaluation of Extruded Hybrid Metal Matrix Composite Processed by Stir Casting
Authors: Kumar Ashok , G Vijaya 
Published: October 2022

Abstract
Many research investigations have been carried out to study the influence of various lubricating material and processing parameters on the behavior of these materials under different operating conditions have been of a keen interest. The present investigation aims to study the influence of composition of constituent materials on tribological characteristics of the composite materials. The investigation also aims to study the influence of secondary extrusion process on the mechanical and tribological characteristics of the composite materials. In the present work particulate reinforced metal matrix material is processed through stir casting method. Initially, preliminary studies were carried out to select the appropriate percentage of Aluminium (A356) and Al2O3 particulates for the composite material. Based on the literature study composite material with Aluminium A356 and 10% Al2O3 particulates of 23µm size is selected for further study. In the present work, MoS2 which is recognized as a solid lubricating material has been added in particulate form along with Al2O3 particulates to process Al–Al2O3–MoS2 hybrid composites. A356 Aluminium and 10% of 23µm Al2O3 particulates are common and 1%, 3% & 5% of 5µm MoS2 particulates are included in the three categories of hybrid composites processed for the study. The hybrid composites are processed by stir casting and further subjected to secondary extrusion process with extrusion ratios of 12.25, 16 and 20.25 at an extrusion temperature of 3000C to study the influence of extrusion ratio on their tribological behavior. Results of the present experimental work indicates that wear loss has decreased by up to 22% in case of extruded hybrid composites compared to cast composites of identical composition. Coefficient of friction has also been found to decrease marginally with extrusion of hybrid composites in comparison to cast composites.
Feasibility of simultaneous drying and blanching inshell hazelnuts (Corylus avellana L.) using hot-air assisted radio frequency heating (HARF)
Authors: Dag Damla , Farmanfarmaee Azin , Kong Fanbin , Jung Jooyeoun , McGorrin Robert J. , Zhao Yanyun 
Published: October 2022

Abstract
Hot-air assisted radio frequency (HARF) heating was used to dry and blanch inshell hazelnuts with high (19%) and low (11%) moisture content (MC) simultaneously. The effects of target temperature (70, 80, and 90 °C) and holding time (0 or 5 min at target temperature) on heating uniformity and inactivation of polyphenol oxidase (PPO) and peroxidase (POD) were investigated. The dielectric properties of kernels, shells, and inshell hazelnuts were measured at 3 MCs (6–22%), 2 frequencies (13.56 and 27.12 MHz), and 7 temperatures (25–95 °C). Hazelnut kernels showed higher dielectric constant and loss factor than that of shells and inshell hazelnuts. Target temperature did not affect heating uniformity for inshell hazelnuts. A 5-min holding time at target temperature resulted in better heating uniformity and lower POD and PPO activities (15–35% and 24–45% reduction, respectively). This study demonstrated the feasibility of simultaneous rapid drying and blanching of inshell hazelnuts using HARF technology.
Emotional Sentiment Analysis of Social Media content for Mental Health Safety
Authors: Benrouba Ferdaous , Boudour Rachid 
Published: October 2022

Abstract
Text sentiment analysis is mostly used for the assessment of the author’s mood depending on the context. The purpose of sentiment analysis (SA) is to discover the exactness of the underlying emotion in a given situation. It has been applied to various fields, including stock market predictions , social media data on product evaluations, psychology, the judiciary, forecasting, illness prediction, agriculture, and more. Many researchers have worked on these topics and generated important insights. These outcomes are useful in the field because they (outcomes) help people comprehend the general summary quickly, Additionally, SA aids in limiting the harmful effects of some posts on various social media sites such as Facebook and Twitter. For these reasons and more, we are proposing an approach to filter the social media content that could be emotionally harmful to the user, through getting the SM content(we will refer to social media as SM), for that we have used Twitter API to get the user posts (Twitter as an example of SM), then we have used API natural understanding language API tool to extract and classify the emotions of the Twitter content into five basic emotional categories: Joy, sadness, anger, fear, disgust. into an array of emotions, after that, we have defined a perfect emotion array from over 450 words from the English language. The main purpose of this comprehensive research article is to examine the proposed solution that we have conducted to improve the quality of content displayed to users emotionally.
Clinical observation of Methazolamide in the treatment of idiopathic normal pressure hydrocephalus patients
Authors: Yang Qiong , Liu Chunyan , Li Hongliang , Wei Youping , Wu Yubing , Li Jian , Zhang Jie , Liu Xing , Kong Shuangyan , Shi Zhe , Sun Jie , Yang Chenhui , Liu Lijuan , Liu Nan , Zhou Ying , Li Yanfeng , Li Xuexin , Xing Yan 
Published: October 2022

Abstract
Background: Cerebrospinal fluid (CSF) shunt intervention is currently the standard and most effective treatment for idiopathic normal-pressure hydrocephalus (iNPH). However, many patients do not undergo surgery due to various reasons. The study aimed to assess the efficacy and safety of methazolamide (MTZ) in the treatment of iNPH.
Methods: A 12-week randomized, double-blind, drug-placebo clinical studywas conducted at the Aviation General Hospital. Participants with a diagnosis of possible or probable iNPH according to Japanese second iNPH guidelines were consecutively recruited from September 2019 to May 2021. All patients were inoperable or had refused surgical treatment due to various reasons. The patients were assigned (2:1) to the MTZ or placebo group via a computer-generated randomization list. The gait and cognition function were assessed, and brain MRI scans were taken before and 12 weeks after drug administration. The primary endpoint was the difference change in the Boon gait sum score relative to baseline between the drug and placebo groups. Secondary endpoints were differences in MMSE and MOCA scores. In addition, the adverse reactions were also monitored.
Results: Twenty participants were randomly included in the MTZ group and 12 in the placebo group. A total of 26 patients, 17 in the MTZ and 9 in the placebo group, were included in the final efficacy analysis. The difference in Boon sum score relative to baseline between the groups was -6.06 points (95% CI, -9.37 to -2.75; p =0.001) after 12 weeks of treatment. However, there was no significant difference in the MMSE and MoCA scores between the drug and placebo groups (MMSE 0.36, 95% CI, -2.36 to 3.09; p = 0.78; MoCA 0.001, 95% CI, -1.98 to 1.98; p = 1.00). No serious adverse reactions such as hypokalemia or acidosis occurred in any of the patients.
Conclusions: MTZ significantly improved the gait of iNPH patients without any adverse effects. Large sample studies are needed for further confirmation of our results.
A comparative metagenomic approach to detect pathogenic bacteria in commercial broilers affected with respiratory disease complex
Authors: Patel J. G. , Patel B. J. , Joshi D. V. , Patel S. S. , Patel R. K. , Gandhi H. , Raval S. H. , Parmar R. S. 
Published: October 2022

Abstract
Respiratory disease complex is a serious disease affecting to poultry and causes heavy economic losses in the poultry industry worldwide. A metagenomic approach was used to investigate bacterial abundance and diversity using Whole genome shotgun sequencing of clinically diseased and healthy broiler affected with respiratory disease complex. The data were analyzed using best hit approach through MG-RAST. Sequences predominantly aligned with the phyla Proteobacteria followed by Bacteroidetes in samples from clinically diseased broiler affected with respiratory disease complex, whereas Chlamydiae followed by Proteobacteria in sample from apparently healthy broiler birds. At the species level Escherichia coli, Ornithobacterium rhinotracheale and Pseudomonas aruginosa were predominant in diseased birds, Chlamydia psittaci, Mycoplasma gallisepticum, Lactobacillus agilis and Gallibacterium anatis were predominated bacterial species found in the apparently healthy birds. Higher alpha diversity indices and richness values were found for the bacterial communities in clinically diseased broiler birds as compared to healthy birds. The present study findings may help in formulating strategies for the prevention, control and treatment of respiratory infections in birds and consequently also reducing economic losses in poultry industries.
Switchable pH-responsive Pickering stabilizers made by sonothermal glycation of sodium caseinate with κappa- carrageenan
Authors: Tirgarian Behraad , Farmani Jamshid , Farahmandfar Reza , Milani Jafar M. , Bockstaele Filip Van 
Published: October 2022

Abstract
Food-approved colloidal particles that can construct stable emulsions, but destabilize on purpose using a specific stimulus like pH change would be of great importance to food and pharmaceutical industries (bioactive delivery). However, such edible Pickering stabilizers are quite rare, since they must possess superb interfacial activity (rapid, strong and reversible adsorption at oil-water interface) to be efficient in stabilization of these unique systems. Herein, we report the formation of sodium caseinate (SC)-κappa-carrageenan (kC) colloidal conjugates that can offer such Pickering ability. SC-kC conjugates were prepared by wet-heating Maillard reaction after sonication pre-treatments (400 W, 20 kHz) for 10, 20, and 30 min. The SC-kC conjugation was confirmed by Fourier transform infrared spectroscopy, CD spectra, intrinsic fluorescence analysis, and glycation degree (GD). With increased sonication duration, a higher GD (59.75 ± 0.69% in 30 min) was observed which led to improved interfacial activity (higher adsorption quantity and rate at interface), lower particle size (< 500 nm) as well as higher emulsifying activity and stability indices. It was observed that the emulsion prepared with the 30 min ultrasonic conjugate had the lowest mean droplet size (1.65 ± 0.10 µm) and polydispersity index (0.46 ± 0.00) along with the highest zeta potential (-35.76 ± 0.54 mV). Furthermore, it was found that sonothermal glycation with kC empowered the SC to fabricate emulsions with excellent pH-responsive behaviors where it can be easily switched on (pH = 7) and off (pH = 4.5) over 4 cycles and remain stable with further emulsification. Therefore, SC-kC colloidal conjugates can create novel Pickering systems with attributes desired to many applications.
Comparative effects of epidural steroid injections on disc bulging and disc protrusion in patients with discogenic low back pain
Authors: Çetin Eyüp , Şah Volkan , Zengin İrfan , Arabacı Özkan , Akyol Mehmet Edip , Yücel Murat 
Published: October 2022

Abstract
Objective
Discogenic low back pain is a widespread disorder around the world. Numerous methods have been developed and continue to be developed in the treatment of discogenic low back pain. In this study, we aimed to examine the effect of epidural steroid administration (ESI) on disc bulging and disc protrusion in patients with discogenic low back pain.
Materials and Methods
The prospective randomized study reviewed medical records of 71 patients with discogenic low back pain who were radiologically proven as disc bulging and disc protrusion with or without radicular pain and did not require surgery at Neurosurgery Department between June 2021 and June 2022. All the patients underwent ESI and attended regular follow-up visits for a period of 6 months. Visual Analogue Scale (VAS) and Oswestry Disability Index (ODI) scores were assessed before the procedure, one week after the procedure, one month after the procedure, and six months after the procedure.
Results
There was no significant difference between patients with disc bulging and disc protrusion in terms of demographic characteristics. In both groups, both VAS and ODI scores showed a significant decrease in the post-procedure period compared to the pre-procedure period. However, there was no significant difference between the two groups with regard to the reduction rate between post-procedure 1st week VAS scores and pre-procedure VAS scores.
Conclusion
The results indicated that lumbar interlaminar steroid injection is an effective treatment for disc bulging and discogenic pain due to protrusion and that both groups benefited from ESI administration. Additionally, except for the first week of injection, relief due to the use of epidural steroids was observed to be greater in the Disc Protrusion group compared to the Disc Bulging group.
SIRT2 inhibition rescues neurodegenerative pathology but increases systemic inflammation in a transgenic mouse model of Alzheimer’s disease
Authors: Sola-Sevilla Noemi , Mesa-Lombardo Alberto , Aleixo Mikel , Exposito Sara , Diaz-Perdigón Teresa , Azqueta Amaia , Zamani Farzad , Suzuki Takayoshi , Maioli Silvia , Eroli Francesca , Matton Anna , Solas Maite , Tordera Rosa M. , Martín Eduardo D. , Puerta Elena 
Published: October 2022

Abstract
Sirtuin 2 (SIRT2) has been proposed to have a central role on aging, inflammation, cancer and neurodegenerative diseases; however, its specific function remains controversial. Recent studies propose SIRT2 pharmacological inhibition as a therapeutic strategy for several neurodegenerative diseases including Alzheimer’s disease (AD). Surprisingly, none of these published studies regarding the potential interest of SIRT2 inhibition has assessed the peripheral adverse side consequences of this treatment. In the present study we demonstrate that pharmacological treatment with 33i improved cognitive dysfunction and LTP, and reduced amyloid pathology and neuroinflammation in the APP/PS1 AD mouse model. However, this treatment increased peripheral levels of inflammatory cytokines IL-1β, Tnf-α, Tgf-β, IL-6 and MCP-1. Accordingly, peripheral SIRT2 inhibition with the blood brain barrier impermeable compound AGK-2, worsened the cognitive capacities and increased systemic inflammation. These results suggest that, although SIRT2 pharmacological inhibition may have beneficial consequences in neurodegenerative diseases, its systemic adverse side effects should be taken into account. This information is essential to maximize the therapeutic potential of SIRT2 inhibition not only for AD but also for other neurodegenerative diseases.
Identification of DDIT4 as a Potential Prognostic Marker Associated with Chemotherapy and Immunotherapy Response in Triple-Negative Breast Cancer
Authors: Chen Xuanzhao , Li Zeyan , Liang Meihua , Zhang Ziyang , Zhu Di , Lin Biyun , Zhou Renyu , Lu Yuanzhi 
Published: October 2022

Abstract
Background
Triple-negative breast cancer (TNBC) is the most heterogenous and aggressive subtype of breast cancer. Chemotherapy remains the standard treatment option for patients with TNBC owing to the unavailability of acceptable targets and biomarkers in clinical practice. Novel biomarkers and targets for patient stratification and treatment of TNBC are urgently needed. In this study, we aimed to identify novel biomarkers and therapeutic targets using RNA sequencing (RNA-seq) and data mining using data from public databases.
Methods
RNA-sequencing (RNA-Seq) was performed to detect the different gene expression patterns in the human TNBC cell line HS578T treated with docetaxel or doxorubicin. Raw data were analyzed using the R package “edgeR” to identify the profile of differentially expressed genes (DEGs) and functionally annotated through R package “clusterProfiler.” The prognostic and predictive value of DNA damage-inducible transcript 4 gene (DDIT4) expression in patients with TNBC was further studied using published online data resources, including TIMER, UALCAN, and Kaplan-Meier Plotter. LinkedOmics and GeneMANIA were used to investigate the genes and functional networks related to DDIT4. GSCALite was used to analyze the pathway activities of DDIT4 and its hub genes.
Results
Through the integrative analyses of RNA-Seq data and public datasets, we observed the overexpression of DDIT4 in TNBC tissues(p<0.01) and found that patients with DDIT4 overexpression showed poor survival outcomes (p<0.05). Notably, immune infiltration analysis showed that the levels of DDIT4 expression correlated negatively with the abundance of tumor-infiltrating immune cells and immune biomarker expression (p<0.05), but correlated positively with immune checkpoint molecules (p<0.01). Furthermore, DDIT4 and its hub genes (ADM, ENO1, PLOD1, and CEBPB) involved in the activation of Apoptosis, Cell Cycle and EMT pathways. Eventually, we found ADM, ENO1, PLOD1 and CEBPB showed poor overall survival in BC patients (p<0.01).
Conclusion
In this study, we found that DDIT4 expression is associated with the progression, therapeutic efficacy, and immune microenvironment of patients with TNBC, and DDIT4 would be as a potential prognostic biomarker and therapeutic target. These findings will help to identify potential new molecular targets and improve therapeutic strategies against TNBC.