bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi Objective Operation Optimization of Reservoir By Considering Ecosystem Sustainability and Ecological Targets.
Authors: Yazdian Hamed , Zahraie Banafsheh , Jaafarzadeh Nematollah 
Published: February 2023

Abstract
Ecosystem sustainability has been widely considered in planning of water resources in the recent years. In this study, variations of macroinvertebrates is considered as a criteria for assessing biological diversity in the downstream river in a river-reservoir system. Unlike most of the previous studies, this biological diversity index is then used in a multi-objective reservoir operation optimization model as an objective function instead of a constraint. Aboulabbas Dam in Khuzestan Province in Iran was chosen as the case study of this research. Two objectives of supplying water demand and ecological diversity were maximized for the case of Aboulabbas Dam. Based on the historical records of water quality and macroinvertebrate samples, a relationship between these two parameters was proposed. Multi Objective Particle Swarm Optimization (MOPSO) was used as the optimization algorithm and water quality variations has been modeled by linking WQRRS (Water Quality for River Reservoir Systems) model with the optimization model. Evaluation of the results in a 10-year period and comparison with single-objective optimization shows that using the proposed methodology, in addition to taking into account the water quality variations in its impacts on the river ecosystem, provides an acceptable level water supply reliability.
Mental health concerns prelude the Great Resignation: Evidence from Social Media
Authors: chanona rita maria del rio , Hermida-Carrilo Alejandro , Sepahpour-Fard Melody , Sun Luning , Topinkova Renata , Nedelkoska Ljubica 
Published: February 2023

Abstract
To study the causes of the 2021 Great Resignation, we use text analysis to investigate the changes in work- and quit-related posts between 2018 and 2021 on Reddit. We find that the Reddit discourse evolution resembles the dynamics of the U.S. quit and layoff rates. Furthermore, when the COVID-19 pandemic started, conversations related to working from home, switching jobs, work-related distress, and mental health increased. We distinguish between general work-related and specific quit-related discourse changes using a difference-in-differences method. Our main finding is that mental health and work-related distress topics disproportionally increased among quit-related posts since the onset of the pandemic, likely contributing to the Great Resignation. Along with better labor market conditions, some relief came beginning-to-mid-2021 when these concerns decreased. Our study validates the use of forums such as Reddit for studying emerging economic phenomena in real time, complementing traditional labor market surveys and administrative data.
Mid-20th century land-use change greatly reduced flood intensity in the Southeastern US
Authors: Shen Zhixiong , Conway Nicholas , Bao Shaowu Bao , Muñoz Samuel , Lang Andreas 
Published: February 2023

Abstract
Land cover and land use influence hydrologic processes, but their impacts on flooding remain obscure amid intensifying land-use changes and the global increase in heavy precipitation. Instrumental records are short relative to the long history of land-use change and inadequate for discerning regional flood changes attributable to land use. Here we integrate a new high-resolution paleoflood discharge record spanning the past ~200 years from the largest basin in the Southeastern United States with regional stream gage data and hydrologic modeling. We find that flood magnitudes in the region exhibit a substantial decrease beginning in the 1950s CE. The high magnitudes in the early 20th century correspond to widespread forest clearance and soil erosion, while the mid-20th-century reduction corresponds to soil conservation measures and reforestation in the region. We evaluate the role of land-use change on flood intensity by testing the sensitivity of Hurricane Florence’s (2018 CE) flood to different land-use configurations using the WRF-Hydro model. Our findings indicate that river floods are sensitive to land-use change — even on large river systems. Further, our work implies that aggressive agriculture expansion and ongoing rapid urbanization, together with climate change, will generate substantial increases in flood hazard without mitigation measures.
Inducible TgfbR1 and Pten deletion in a novel model of tongue carcinogenesis and chemoprevention
Authors: Oghumu Steve , Lamenza Felipe , Ryan Nathan , Upadhaya Puja , Siddiqui Arham , Jordanides Pete , Springer Anna , Roth Peyton , Pracha Hasan , Iwenofu O. 
Published: February 2023

Abstract
Head and neck squamous cell carcinoma (HNSCC) is a significant public health problem, with a need for novel approaches to chemoprevention and treatment. Preclinical models that recapitulate molecular alterations that occur in clinical HNSCC patients are needed to better understand molecular and immune mechanisms of HNSCC carcinogenesis, chemoprevention and efficacy of treatment. We optimized a mouse model of tongue carcinogenesis with discrete quantifiable tumors via conditional deletion of Tgfβr1 and Pten by intralingual injection of tamoxifen. We characterized the localized immune tumor microenvironment, metastasis, systemic immune responses, associated with tongue tumor development. We further determined the efficacy of tongue cancer chemoprevention using dietary administration of black raspberries (BRB). Three Intralingual injections of 500ug tamoxifen to transgenic K14 Cre, floxed Tgfbr1, Pten (2cKO) knock out mice resulted in tongue tumors with histological and molecular profiles, and lymph node metastasis similar to clinical HNSCC tumors. Bcl2, Bcl-xl, Egfr, Ki-67, and Mmp9, were significantly upregulated in tongue tumors compared to surrounding epithelial tissue. CD4 + and CD8 + T cells in tumor draining lymph nodes and tumors displayed increased surface CTLA4 expression, suggestive of impaired T cell activation and enhanced regulatory T cell activity. BRB administration resulted in reduced tumor growth, enhanced T cell infiltration to the tongue tumor microenvironment and robust anti-tumoral CD8 + cytotoxic T cell activity characterized by greater granzyme B and perforin expression. Our results demonstrate that intralingual injection of tamoxifen in Tgfβr1/Pten 2cKO mice results in discrete quantifiable tumors suitable for chemoprevention and therapy of experimental HNSCC.
A New Approach for Solving the Second-Order Fuzzy Differential Equation in Engineering Problems
Authors: Jafari Dariush , Behroozpoor Asghar 
Published: February 2023

Abstract
Governing differential equations on many engineering problems can be realistically expressed in fuzzy form because uncertainty is an inherited feature of real-world engineering problems. In this paper, a new approach for solving second-order fuzzy differential equations (FDEs) is proposed. We adopt α-cut sets to reduce the second-order FDE to an interval-valued differential equation. Subsequently, an optimization problem is defined that its optimal solution is the approximate solution of the original second-order FDE. The high efficiency of the proposed method in approximating the analytical solutions is illustrated by solving a few engineering problems.
MSC Code: 35D99
The effect of needle type (25G Sprotte vs Quincke) in spinal anesthesia on the incidence of transient neurologic syndrome
Authors: Ziaei Somayeh , Yari Mitra , Pizarro Ana Beatriz , Ahmadi Alireza 
Published: February 2023

Abstract
Purpose: Transient neurologic syndrome (TNS) is a postoperative pain in the back and buttock that can occur after spinal anesthesia. The spinal needle design may have an impact on the occurrence of TNS. We decided to compare the incidence of TNS and related factors between two spinal needle types.
Methods: In this randomized clinical trial, 150 patients aged 18 to 60 years and ASA physical status I who underwent lower abdomen or lower extremity surgeries with spinal anesthesia and supine position were enrolled. They were randomly divided into two groups (25G Quincke or Sprotte needle) with 0.5% bupivacaine (12.5 mg). After the operation, the patients were asked to report any pain in the lower back, buttock, and thigh areas. A VAS was also used to record the severity of the pain.
Results: Overall, 45 patients developed TNS. Twenty-nine patients in Sprotte group (38.7%) and 16 patients in Quincke group (21.3%) developed TNS (P= 0.75). More patients in the Sprotte group (25.3%) had severe pain (VAS score of 8 to 10) when compared to the Quincke group (6.7%). There was no significant difference in TNS symptoms duration between the two groups. In about half of patients (51.9%) in the Sprotte group and 57.3% of patients in the Quincke group, the symptoms resolved after 2 to 3 hours.
Conclusion: Although the incidence of TNS did not differ significantly, patients for whom Sprotte spinal needle had been used had more severe pain. This suggests that the Quincke needle caused less severe pain.
A framework for identifying essential proteins with hybridizing deep neural network and ordinary least squares
Authors: Zou Sai , Hu Yunbin 
Published: February 2023

Abstract
Essential proteins are indispensable for the maintenance of life activities and play an important role in biological processes. Identification of essential proteins is of great importance for understanding the minimum requirements of cell life, discovering pathogenic genes, drug targets, diagnosis of diseases, mechanism of biological evolution, etc. The state-of-the-art methods suggest that integrating protein-protein interaction networks (PPI) and related features of biological sequences can improve the identification accuracy and robustness of essential proteins. In this paper, a novel method called IYEPDNN is proposed to identify essential proteins based on multidimensional biological attribute information and topological properties of PPI by hybridizing deep neural network (DNN) and ordinary least squares. In IYEPDNN, the gene expression profile, PPI and orthology are integrated together as input features to reduce computational complexity and improve accuracy of DNN. In addition, the ordinary least squares is used to supplement the absent data in the Yeast data set to improve the robustness. Experimental results show that the accuracy of IYEPDNN is 84%, and the number of essential proteins identified by IYEPDNN is much higher than that of the state-of-the-art methods (WDC, PeC, OGN, ETBUPPI, RWAMVL, and so on). The results of this paper show that the correlation between features is the key to improve the accuracy of essential protein prediction, and the correct selection of training data can effectively avoid the problem of training data imbalance in essential protein identification.
Measurement of cultivated land green use efficiency based on carbon emission and its influencing factors: A case study of 39 cities in the Yangtze River Basin
Authors: Lin Qiaowen , Bai Siran 
Published: February 2023

Abstract
In order to promote the high-quality development of cultivated land and ensure food security, based on the carbon emissions in the process of cultivated land use, this study incorporated the total carbon emissions of each carbon source and the food security factor of the study area into the calculation system of cultivated land use efficiency（CLGUE）. Using the Super-SBM model, kernel density estimation and geographic detector method, the CLGUE values in 39 cities in the upstream, midstream and downstream of the Yangtze River Basin from 2011 to 2020 were specifically measured, their temporal and spatial heterogeneity was described, and the influencing factors were detected at both single and interactive levels. The results showed that: （1）The green land use efficiency values of cultivated land in the Yangtze River Basin show an overall upward trend during the decade of 2011-2020；（2）There is a clear spatial heterogeneity the CLGUE values in the Yangtze River Basin cities, as shown by: downstream region > midstream region > upstream region; (3) Cultivated land resource endowment, socioeconomic development, and agricultural production technology are important factors affecting the variability of CLGUE values. However, there are some differences in the degree and direction of influence of different influencing factors on different sample subgroups.
Analysing the Quality of Food on Convolution Neural Network for Fuzzy Classifier in Hyperspectral Imagery
Authors: T Arumuga Maria Devi , P Darwin , Jose Mebin , P Kumar 
Published: February 2023

Abstract
Introduction: This paper is introducing a new architecture which associates convolutional neural network (CNN) formed on fuzzy neural network (FNN). The fuzzy neural network with some few connected layers which gives to add some feature information for using fuzzy neural network. Mapping of membership values, feature maps also called as outputs are produced by CNN that is given in to fuzzy layers by using training phase. The classification accuracy is increased in this proposed architecture instead we are using fuzzy neural networks that can generate not only crisp values but also fuzzy values because of more information is produced in the fuzzy set.
Methods: Cross-validation tests are evaluated in our proposed model. More data is needed for executing training the sequences, we contain only less data and testing the data which contains more amount of information that will express the object classified in its ability where important information is not available.
Results: The convolution neural network consists of tuned convolution layer, Heuristic Activation Operation and Parallel Element Merge Layer which is manipulated by the fuzzy classifier output based on food image context extractor.
Conclusion: Finally, Quality of Food is analysed by means of Visual IDE. Based on that Hyperspectral Output Image is extracted with good accuracy
A novel robust and reversible color image watermarking algorithm with adaptive block selection
Authors: Cao Hongjiao , Hu Fangxu , Tian Xiaojie , Xia Yu , Su Qingtang 
Published: February 2023

Abstract
In this paper, an adaptive robust and reversible watermarking algorithm is proposed which enables both copyright protection and integrity protection of the host image. Firstly, the host image is divided into non-overlapping sub-blocks, and a sub-block can be embedded with one watermark bit. During the watermark embedding process, the spatial domain computation and quantization methods of the DC component of the discrete Fourier transform (DFT) are derived and utilized, which can avoid unnecessary calculations and thus increase the efficiency of the algorithm, besides, the host image can be recovered by recording the pixel changes of embedded blocks. In addition, an adaptive selection method of embedded block designed for the aforesaid embedding method is proposed, which can select different suitable sub-blocks according to different host images, thus reducing the host image distortion caused by watermark embedding, whereupon, the quantization step can be selected with an appropriate bias to improve the robustness in the case of high invisibility. The experimental results show that the proposed algorithm not only has high invisibility, robustness, efficiency and security, but also the host image can be fully recovered from the watermarked image when there is no attack.
Multimodal radiotherapy in recurrent refractory metastatic esophageal cancer
Authors: Luo Yunxiu 
Published: February 2023

Abstract
Background

To explore the efficacy and toxicity of multimodal radical radiotherapy and systematic therapy in refractory recurrent metastatic esophageal cancer.

Patient and Methods

A 57-year-old man with locally advanced esophageal squamous cell carcinoma (ESCC) presented with supraclavicular lymph nodes and bone metastases six years after radical resection and adjuvant chemotherapy. After multiline systemic therapy, the tumor progressed with involvement of lymph nodes in the left neck, supraclavicular, subclavian, and axillary regions, as well as the C6 vertebral bone. The patient exhibited Horner’s syndrome on the left side as well as brachial plexus nerve injury with serious pain. Adaptive intensity-modulate radiotherapy (IMRT) combined with high-dose brachy radiotherapy (BRT), and stereotactic radiotherapy (SBRT) was applied to control local foci, together with systemic treatment using target and immunotherapy as maintenance.

Results

The patient showed complete remission (CR) of symptoms and signs, including the complete disappearance of the left neck metastatic lymph nodes, CR of the left upper-neck metastatic lymph nodes, and satisfactory local control of bone metastases. The progression-free survival (PFS) was more than 20 months, with CR of pulmonary metastases, satisfactory control of hepatic metastases, and PFS for lung and liver foci of over 17 months. No significant adverse events were observed, and the overall survival (OS) was more than 30 months.

Conclusions

Adaptive IMRT combined with high-dose brachy implantation radiotherapy and maintenance therapy can effectively improve both local control and PFS in patients with refractory recurrent metastatic esophageal cancer.
Energy Efficient Trust Aware Secured Lightweight Authentication Protocol for Efficient Reprogramming in Internet of Things
Authors: Shanmugapriya R. , SVN santhosh Kumar 
Published: February 2023

Abstract
Internet of Things (IoT) is the collection of physical things that consist of integrated technologies to interact, sense and collaborate in the deployed environment. Data dissemination is a network management service that is provided to nodes of IoT, where the base station monitors and manages the device related configuration parameter queries and commands in the network. It is very much essential to identify the legitimate nodes which are required for reprogramming and reconfiguring for device configuration during data transmission in order to ensure the security and reliability of the network. Since a greater number of devices are being reprogrammed to exchange data and commands autonomously in IoT, providing security to the disseminated configuration parameters is very important. Therefore, a strong security authentication mechanism is requiring to prevent the various types of attacks against data dissemination. An energy efficient trust based secured lightweight authentication protocol is introduced to suggest better authenticated and secure data dissemination to the devices of IoT. The proposed protocol provides effective clustering and discovers optimal route by selecting the only trusted nodes during data dissemination process. The proposed protocol provides effective clustering and discovers optimal route by selecting the only trusted nodes during data dissemination process. The benefits of the presented system are it improves the security during data dissemination and optimizes the energy by detecting the relevant sensor nodes which are interested in data dissemination. The proposed system is executed in NS3 simulation. The simulation results provide better authentication with optimised energy consumption during the data dissemination in the proposed protocol.
Neurodevelopmental Outcome at 3 Years of Age in Very Low Birth
Weight Infants According to Brain Development and Lesions
Authors: Malova Mariya , Parodi Alessandro , Severino Mariasavina , Tortora Domenico , Calevo Maria Grazia , Traggiai Cristina , Massirio Paolo , Minghetti Diego , Uccella Sara , Preiti Deborah , Nobili Lino , Rossi Andrea , Ramenghi Luca Antonio 
Published: February 2023

Background:
During the last decades, severe brain lesions affecting very low birth weight (<1500 gr, VLBW) infants were gradually substituted by milder lesions with debatable prognoses.

Objective:
The objective of this study is to define type, frequency and 3 years of neurodevelopmental outcome of prematurity-related brain lesions in a modern cohort of VLBW infants.

Methods:
VLBW infants admitted to our NICU in 5 years period with brain MRI at term-equivalent age were included. MRI scans were reviewed to identify and grade white matter lesions (WML), intraventricular hemorrhage (IVH), and cerebellar hemorrhage (CBH). Linear measurements of brain size, biparietal width (BPW) and trans-cerebellar diameter (TCD) were carried out. Total maturation score (TMS) was calculated. Developmental Coefficients (DQ) on Griffiths Scale at 3 years of age were compared between patients with different types and grades of lesions and patients without lesions; possible correlations between linear brain measurements, brain maturation and outcome were explored.

Results:
Study included 407 patients. Of them, 187 (46%) had at least one brain lesion on MRI, while 37 (9%) had severe lesions. The most frequent lesion was IVH (28%), followed by WML (21%) and CBH (17%). Mild and severe IVH, moderate and severe WML and all grades of CBH were related to worst outcome at 3 years. In patients without lesions, small BPW and small TCD were associated with worse outcomes. No correlations were observed between TMS and outcome.

Conclusion:
We have observed that even mild brain lesions have a negative influence on neurological outcome at 3 years of age.
The Disruption of Retroperitoneal Interdigitating Dendritic Cell Sarcoma
with Neurogenic Neoplasm as a Result of Immunohistochemical Markers
and Radiological Features
Authors: Anil Pehlivan Umur , Eren Erdogan Kivilcim , Tugsan Balli Huseyin , Erdogan Seyda 
Published: February 2023

Introduction:
Retroperitoneal localization is an extremely rare presentation of interdigitating
dendritic cell sarcoma (IDCS), the primary neoplasm of the antigen-presenting interdigitating dendritic
cells.

Case Presentation:
We report an incidentally found isolated retroperitoneal IDCS in a 59-year-old
female patient with no prior symptoms. The patient was initially misdiagnosed since the tissue samples
obtained by tru-cut biopsies were diffusely positive for S-100, and the radiological features were similar
to neurogenic tumors. However, additional immunohistochemical staining in the excisional biopsy
specimen revealed IDCS as the correct diagnosis.

Conclusion:
The correct diagnosis may not always be achieved with tru-cut biopsy evaluations in the
retroperitoneal masses. Immunophenotyping and radiological features can occasionally be perplexing.
In these cases, an accurate diagnosis can be achieved by excisional biopsy and additional immunohistochemical
staining.