bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Compact Metamaterial Loaded MIMO Antenna for Sub-6GHz 5G Applications
Authors: V Arulkumar , P Jeyakumar , P Rajalakshmi , S Subash , V Pradeep , S Vishwa , P Muthuchidambaranathan P 
Published: August 2023

Abstract
In this work, the proposed design utilizes a complementary split ring resonator (CSRR) loaded ground plane to enhance the return loss of a microstrip patch antenna.The addition of CSRR slots on the ground plane resulted in an improvement in the return loss of the microstrip patch antenna. The proposed antenna has undergone the stages of design, fabrication, and testing. The measured results exhibit a high level of conformity with the simulation results. The proposed antenna has a size of 99 × 55 × 1.6mm 3. The measured impedance 1 Springer Nature 2021 L A T E X template A Compact Metamaterial Loaded MIMO Antenna for Sub-6GHz 5G Applications bandwidth is 24.18 (return loss< −10 db) from 3.29 to 4.2 GHz. The designed antenna is suitable for applications within the Industrial Scientific Medical(ISM) band. The H-plane radiation pattern of the antenna was directional, while the E-plane radiation pattern was bidirectional. To achieve optimal outcomes, a parametric investigation of the CSRR was conducted. Alternatively, researchers carried out a study on various parameters of the CSRR to determine the most favorable results. The proposed antenna exhibits a straightforward design, displays a desirable radiation pattern, and boasts a gain of 2.63 dBi when operating at its resonant frequency. Additionally, a size reduction of 10% was attained without compromising its performance, and the bandwidth slightly surpasses that of the unloaded antenna.
Spatio – Temporal Study of Crop Combinations and Land Use Pattern of Karnal District
Authors: Yadav Mandeep , sharma Sukriti 
Published: August 2023

Abstract
This paper attempts to examine the change in cropping pattern and crop combination in Karnal District of Haryana. The change in cropping pattern in the study area examined to understand the share of various crops in the study area during a particular period of time 2010–11 to 2019–20. Haryana is a state with a thriving agriculture sector. Wheat and rice are the two main crops grown in Haryana, and they are followed in importance by sugarcane, gram, barley, cotton, oil seeds, bajra, jawar, etc. (Kumar, 2017). A particular crop rarely occupies a position in complete isolation from other crops in a given area at a given time since crops are typically cultivated in combinations. The extent of the crop lands is determined by socio-economic interactions, while their shape is determined by physical variables. In particular, the study of comprehensive area development planning benefits from the research of crop combinations (Murugesan et al., 2018). Considering that it provides a solid foundation for agricultural regionalization, the study of crop combination and crop intensity is a crucial component of agricultural geography. Geographers and agricultural land-use planners have recently become interested in the definition of crop combinations.
State of the Art Deep Learning Implementation for Multiclass Classification of Black Pepper Leaf Diseases
Authors: Kini Anita S , KV Prema , Pai Smitha N 
Published: August 2023

Abstract
Black pepper is a medicinal plant that is extensively used in Ayurvedic medicine because of its therapeutic properties. Leaf diseases can be diagnosed at an early stage with the aid of a smart computer vision system and timely disease prevention can be targeted. The proposed work represents an intelligent transfer learning technique through state-of-the-art deep learning application to predict the presence of prominent diseases in black pepper leaves. The ImageNet dataset available online is used for training deep neural network, initially. Later, this trained network is utilized for the prediction of the developed black pepper leaf image dataset. The developed data set consist of real time leaf images, which are candidly taken from the fields and annotated under supervision of an expert. The leaf diseases considered including healthy leaves are anthracnose, slow wilt, early stage phytophthora, phytophthora and yellowing. The accuracy obtained with 0.001 learning rate ranges from 99.1–99.5% for the Inception V3, GoogleNet, SqueezeNet and Resnet18 models. This work represents improvement in agriculture and a cutting edge deep neural network method for early stage leaf disease identification and prediction. This is an approach using a deep learning to predict black pepper leaf disease.
Identification of a novel cuproptosis-related gene signature for predicting the prognosis in colon adenocarcinoma based on WGCNA and machine learning
Authors: Wang Dongxue , Yang Funing , Han Guiping , Zhang Jifeng , Wang Hongjia , Xiao Zunyu , Chen Weiyu , Li Ping 
Published: August 2023

Abstract
Background
Colorectal cancer (CRC) is a highly aggressive malignant tumor that primarily affects the digestive system. It is frequently diagnosed at an advanced stage. Cuproptosis is a copper-dependent form cell death mechanism, distinct from all other known pathways underlying cell death, tumor progression, prognosis, and immune response. Although the role of cuproptosis in CRC has been investigated over time, there is still an urgent need to explore new methods and insights to understand its potential function.
Methods
The GEO and TCGA gene expression data were systematically explored to investigate the role of cuproptosis in colon adenocarcinoma (COAD). The weighted gene co-expression network analysis (WGCNA) was used to construct a gene co-expression network and identify the critical module and cuproptosis-related genes (CRGs) correlated with COAD prognosis. A CRGs gene prognostic signature for COAD was identified by machine learning algorithm and validated.
Results
Five hub CRGs (DLAT, CDKN2A, ATOX1, VEGFA, ULK1) were screened and a prognostic risk model for predicting overall survival (OS) was established based on these genes. The model was successfully tested in the validation cohort and the GEPIA database. COAD patients were categorized into high-risk and low-risk groups based on risk scores. The study revealed that patients with higher risk scores were more likely to have a poor prognosis.
Conclusions
These findings suggest that the newly identified five-gene signature may serve as a more reliable prognostic factor than clinical factors like age and stage of disease. These findings offer a theoretical foundation for further investigation into potential cuproptosis-related biomarkers for predicting COAD prognosis in the future.
LAGSSE: An Integrated Framework for the Realization of Sustainable Software Engineering
Authors: Zada Islam , Shahzad Sara , Alatawi Mohammed Naif , Ali Shaukat , Khan Javed Ali 
Published: August 2023

Abstract

Sustainable software development, deployment, and usage will minimize the burden on the economy, environment, and technology along with having positive effects on human beings, and society. Green and Sustainable Software Engineering processes, principles, and practices provide the basis for sustainable software development. However, the continually increasing customer choices and requirements, environmental concerns, and competition among software development industries demand for the availability of reliable and complete sustainable software development approaches to develop lifelong sustainable software. This paper presents a sustainable software engineering framework, named as LAGSSE, by integrating the Agile, Lean and Green approaches. The framework is based on the “OntoSuSD” ontology to represent the diverse Agile, Lean and Green approaches for achieving the software sustainability dimensions, goals, and enablers. The proposed framework is validated using the Delphi method using the expert opinion scenario which has proved LAGSSE as an efficient framework for supporting sustainable software development. The LAGSSE framework is aimed to facilitate the software developers, academia, experts, and policy makers in the software industry, institutions, and government to make policies and develop sustainable software products according to their software sustainability goals and requirements.
Loneliness, Immunological Recovery Patterns, and Health-Related Quality of Life (HRQOL) Outcomes in Patients Receiving Hematopoietic Stem Cell Transplantation
Authors: Lange Lori J. , Ames Steven C. , Ames Gretchen E. , Heckman Michael G. , White Launia J. , Roy Vivek , Foran James M. 
Published: August 2023

Abstract
Purpose
Loneliness may compromise health-related quality of life (HRQOL) outcomes and the immunological impacts of loneliness via neuroendocrinological mechanisms likely have consequences for patients who have undergone a hematopoietic stem cell transplantation (HSCT).
Research Approach and Measures:
Loneliness (pre-transplant), immunological recovery (Day 30, Day 100, 1-year post-transplant), and HRQOL (Day 100, 1 year) were measured in a sample of 205 patients completing a HSCT (127 autologous, 78 allogenic).
Results
Greater levels of pre-transplant loneliness predicted poorer HRQOL at Day 100 and 1-year follow-up. Loneliness also was associated with higher absolute neutrophil to absolute lymphocyte (ANC/ALC) ratios in the entire sample at Day 30, which in turn predicted Day 100 HRQOL.
Conclusions
Findings demonstrate that pretransplant loneliness predicts HRQOL outcomes and inflammatory immunological recovery patterns in HSCT patients. The balance of innate neutrophils to adaptive lymphocytes at Day 30 present a distinct profile in lonely individuals, with this immunity recovery profile predicting reduced HRQOL 100 days after the transplant. Addressing perceptions of loneliness before HSCT may be an important factor in improving immunological recovery and HRQOL outcomes.
From Symptoms to Radiotherapy: a Qualitative Assessment of Patient Experience in Newly Diagnosed Adult-type Diffuse Gliomas Cns Who Grade 3 and 4
Authors: Chainey Jonathan , Kim Michael J. , Chan Vivien Ka-Ying , Au Karolyn 
Published: August 2023

Abstract
Purpose Past studies focusing on patient experiences and supportive care needs of patients with new diagnosis of adult-type diffuse gliomas CNS WHO grade 3 and 4 are predominantly in the palliative care literature. Little is known on that subject during the earlier and more acute portion of the patient’s journey. The purpose of this study is to influence clinicians’ attitudes and facilitate the referral process and the development of support services by better understanding the patient’s experience during this acute phase.Methods Adult patients with a new histopathological diagnosis of high-grade glioma, who underwent radiotherapy participated in a semi-structured, face-to-face interview. Descriptive thematic analysis in the tradition of grounded theory was performed.Results Fifteen patients were interviewed, and four themes emerged from the analysis. First, information conveyed by the medical team was frequently disconnected from patients’ understanding regarding diagnosis and treatment. Second, specific events created a lasting impression that the medical system, and at times medical care providers, lacked empathy. Third, patients’ perceptions of shortcomings within the medical system led to decreased trust, particularly regarding the follow-up process. Finally, although respondents identified multiple inadequacies during their journey, they nonetheless acknowledged the great support and quality of services they received.Conclusion This study provides insight into patients’ experiences and perceived shortcomings of the medical system, from the time of presentation until the end of radiotherapy treatment in patients with new diagnosis of high-grade glioma. These findings should influence clinicians’ attitudes and guide systematic changes including delivery of information and the referral process.
Identification of Groundwater potential zones of Alappuzha (Kerala) in south India Integrating AHP and GIS
Authors: Sekar Selvam , Nath Akhila V. , Roy Priyadarsi Debajyoti , Chung Sang Yong , Elzain Hussam Eldin , Carvalho Paula , Perumal Muthukumar 
Published: August 2023

Abstract

Groundwater potential signifies the total quantity of water that occupying in the aquifer, and it varies from one area to another due to change in aquifer properties. This study has been carried out to identify groundwater recharge or groundwater potential area of Alappuzha, Kerala, South India. Investigation on the groundwater potential study is done by Analytical Hierarchy Process (AHP) and also incorporating Geographical Information System (GIS). Eight thematic GIS layers including geology, geomorphology, soil, rainfall, slope, drainage density, land use/ land cover (LULC) and lineament density were chosen. Pair-wise comparison technique was employed to assign weight and rank to these layers and the weighted sum of all these layers aided to create the groundwater potential zone (GWPZ) map of Alappuzha. The map classified the study area in to five zones, very high, high, moderate, poor and very poor. In Alappuzha very high potential zone is extends up to 106 km2 about 8% of the study area. High potential zones spreads over 755.4 km2 (59%) of the area. 311.9 km2 (24%) of Alappuzha is occupied by moderate GWPZ. The poor and very poor GWPZ covers about 85.01 km2 (7%) and 16.9 km2 (1.2%), of the study area respectively. The least unsuitable for subsurface recharge was identified along the coastal stretch, characterized by high drainage density and intense discharge rate.
Application of Electrospun Polyacrylonıtrile(PAN) Nanofıbre Membrane Gel Electrolyte in TiO 2 -Based Electrochromic Devices
Authors: Sarangika H. N.M. , Senadeera G. K.R. , Dissanayake M.A.K.L. 
Published: August 2023

Abstract
Electrochromic devices based on nanofiber membrane gel electrolytes offer several advantages over polymer gel electrolytes. Many advantages such as high chemical stability, easy handling, less leakage, wide working temperature range, and long cycle life show high compatibility of nanofiber membrane electrolytes in different electrochemical power devices. In this work, we have succeeded in replacing the liquid electrolyte, with a nanofibre membrane-based gel electrolyte prepared by the electrospinning method and applied in Electrochromic Devices (ECD). Polyacrylonitrile (PAN) dissolved in N,N-dimethylformamide (DMF) was used as the electrospinning solution. PAN-based nanofibres were deposited on a spin-coated SnO2 layer, prepared on Fluorine-doped Tin Oxide (FTO) glass substrate. The electrospinning time was changed to obtain the different thicknesses of the fiber mat. Gel-type membrane electrolyte was prepared by soaking the nanofibre membrane electrode in the 1M LiClO4 in PC solution. TiO2electrochromic electrode was prepared by the “doctor blade” method. ECDs were fabricated with the configuration of FTO glass/TiO2/PAN-based nanofibre membrane gel polymer electrolyte /SnO2/FTO glass by sandwiching the two electrodes. Electrochromic performances of ECDs fabricated with nanofibre membrane electrolyte were compared with ECDs fabricated with liquid electrolyte (1 M LiClO4 in PC) and PAN gel electrolyte (PC (0.4g) + EC (0.4 g) + LiClO4 (0.03 g) + PAN). ECDs with nanofibre membrane electrolytes showed the highest transmittance variation of 33.40% in the visible region while identical ECD based on corresponding liquid electrolytes showed a transmittance variation of 35.95%.
Molecular subtypes of breast cancer: Can it be determinant for preoperative MRI planning?
Authors: KARTAL EZGİ , KAYHAN ARDA , GÜNDÜZ NERMIN , DAĞISTANLI SEVİNÇ 
Published: August 2023

Abstract
Background The purpose of this study was to determine whether molecular subtype, which is an important prognostic factor for breast cancer, can be used as a determinant for preoperative breast MRI indication. Concordantly, we also searched for whether women with luminal A subtype tumors with better prognosis may not require preoperative MRI for staging.Materials and methods A total of 150 women who underwent preoperative breast MRI with a diagnosis of breast cancer from January 2015 through December 2018 were included in the study. Subtypes were classified as luminal A, luminal B, HER-2 overexpressing, and triple negative according to immunohistochemical markers. Preoperative breast MRI findings were evaluated due to the ACR breast lexicon. Morphological, kinetic and diffusion features or the presence of additional findings on MRI were compared with molecular subtypes. Statistical analyses were performed between the luminal A subtype and the other subtypes.Results The subtype distribution was luminal A, 30.7%; luminal B, 50%; HER-2 over-expressing, 10%; and triple negative, 9.3%. Tumor size was significantly higher in luminal A subtype than in non-luminal A subtypes (p = 0.03). There was no statistically significant difference between the two groups according to morphological, kinetic and diffusion features; the presence of multifocal, multicentric, or contralateral disease; or tumor extension. Additionally, there was no statistically significant difference between the two groups according to nipple, skin, pectoral muscle involvement or the presence of axillary and internal mammary lymph nodes.Conclusions The presence of additional findings and local extensive disease in women with breast cancer is seen in luminal A subtype with very high rates. In addition, luminal A subtype was found to be related to increased tumor size. Non-mass enhancements, which are less detectable in other imaging modalities, are also seen in luminal A subtype at the same rate as other molecular subtypes. Consequently, our study showed that preoperative breast MRI must be performed in all molecular subtype groups.
Melan-A Positive cells significantly expressed in immune-targeted follicles of Alopecia Areata
Authors: Awad Sherif , AbdelRahman Amal , Nageh Keroles , Gabril Manal 
Published: August 2023

Abstract
Background
Alopecia areata is characterized by patchy hair loss that can extend to affect all body hair and about 2% of population are affected. Many hypotheses for etiopathogenesis exit but autoimmunity after the hair immune privilege collapse is a widely accepted theory.
Objectives
The aim of this study is to examine the expression of Melan A within hair follicles of alopecia areata as one of the melanocytic markers, in order to correlate melanocyte existence to the induction of the disease.
Methods
Cross sectioned hair follicles within alopecia areata specimens were examined by routine H&E and immunehistochemically for the Melan A marker in 16 alopecia areata patients.
Results
Within the 82 examined alopecia areata follicles, 50 showed positive cellular expression of Melan A. Positive cells ranged from 1 to 20 per follicle. There was a significant increase in count of Melan A positive cell in immune-targeted follicles of alopecia areata with significant positive correlation.
Conclusions
Melan A is clearly expressed in hair follicles of alopecia areata within bulbar region and the suprabulbar outer root sheath and the expression is significantly correlated to the immune mononuclear infiltrates that accompany the pathogenesis of the disease. This relevant finding may confirm that melanocytes carry the antigenic epitope required to initiate the organ specific autoimmunity in alopecia areata and also explain the regrowth of only white hair follicles in some cases with alopecia and the mysterious Thomas More syndrome.
Analysis and modeling of Linux server clustering methods
Authors: Zeynalli Leyla 
Published: August 2023

Abstract
Currently, cluster servers and workstation systems are primarily utilized in high-performance applications and scientific computations. A cluster involves the use of numerous computers, typically PCs or UNIX workstations, along with a significant number of storage devices and unnecessary interconnections to create what appears to users as a single high-capacity system. Cluster computing can be employed for load balancing and achieving high availability. It serves as a relatively cost-effective form of a parallel processing machine for scientific and other applications that require parallel operations. Cluster server systems combine a group of servers to provide a common processing service for clients on the network. The functionality of the methods used in the cluster is crucial for enhancing the continuity and efficiency of operations on servers. This dissertation investigates the specific features, similarities, and differences of these methods. The purpose of this article is to analyze Linux server cluster methods, examine their characteristics, and conduct a deeper analysis of cluster topologies to gain further insights. To achieve this goal, a literature review has been conducted to analyze the discoveries made by other researchers in this field. By utilizing the information gathered from the literature review and following the steps of several operational researches, this study demonstrates that the agility proposed by the Linux Operating System is applicable not only to older devices but also to server clustering and the configuration requirements for various clustering techniques in a real production environment.
The Same Pricing Restrictions, Different Trading Returns: Evidence From China's Interbank Bond Market
Authors: YAO Dongmin , SU Daiyu , ZHAO Jiangwei , CUI Mengqi 
Published: August 2023

AbstractEffective government regulation of the financial market depends on whether the public interest theory of regulation is established in a market with a relatively high degree of marketization. This study employs the price floor regulation implemented in the Chinese local government bond primary market on August 14, 2018, as a quasi-natural experiment. Utilizing spot trading order flow data from the interbank bond market, we conduct a comparative analysis of the differential responses of bond issuances by different fiscal entities, explore the impact of primary market price floor regulation on secondary market trading, and validate the regulatory mechanisms at play. Our findings indicate that, first, price floor regulations in the primary market effectively rectify pricing distortions for local government bonds with differing levels of fiscal strength. Bonds from high-fiscal-strength local governments, which exhibit greater levels of distortion, experienced a significant increase in the secondary market trading yield rates, whereas those from low-fiscal-strength local governments showed no significant change. Second, price floor regulation in the primary market significantly enhances the liquidity of local government bonds and has a notable impact on the trading yield rates of bonds from high-fiscal-strength local governments. Lastly, primary market price floor regulation substantially broadened the number of trading entities for local government bonds and produced increased trading activity, while the bond trading network exhibited "large-world" characteristics, exclusively elevating the trading yield rates for bonds from high-fiscal-strength local governments. Grounded in the perspective of fiscal demarcations of local governments, this study sheds light on the "black box" of how primary market price floor regulation impacts secondary markets, confirming the interconnectivity between primary and secondary bond markets.