bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Novel Coconut Ssr Markers Derived From Genome-Wide Bioinformatics Prediction
Authors: Caro Reina Esther S. , Cagayan Jesmar , Gardoce Roanne R. , Manohar Anand Noel C. , Canama-Salinas Alma O. , Rivera Ramon L. , Lantican Darlon V. , Galvez Hayde F. , Reaño Consorcia E. 
Published: July 2021

Abstract
In the past, simple sequence repeat (SSR) marker development in coconut is achieved through microsatellite probing in bacterial artificial chromosome (BAC) clones or using previously developed SSR markers from closely related genomes. These coconut SSR markers are publicly available in published literatures and online databases; however, the number is quite limited. Here, we used a locally established, coconut genome-wide SSR prediction bioinformatics pipeline to generate a vast amount of coconut SSR markers. A total of 7,139 novel SSR markers were derived from the genome assembly of coconut ‘Catigan Green Dwarf’ (CATD). A subset of the markers, amounting to 131, were selected for synthesis based on motif filtering, contig distribution, product size exclusion, and success of in silico PCR in the CATD genome assembly. OligoAnalyzer-tool was also employed using the following desired parameters: %GC: 40–60%; minimum ΔG value for hairpin loop: -0.3 kcal/mol; minimum ΔG value for self-dimer: -0.9 kcal/mol; and minimum ΔG value for hetero-dimer: -0.9 kcal/mol. We have successfully synthesized, optimized, and amplified 131 novel SSR markers in coconut using ‘Catigan Green Dwarf’ (CATD), ‘Laguna Tall’ (LAGT), ‘West African Tall’ (WAT), and SYNVAR (LAGT x WAT) genotypes. Of the 131 SSR markers, 113 were polymorphic among the analyzed coconut genotypes. The development of novel SSR markers for coconut will serve as a valuable resource for mapping of quantitative trait loci (QTLs), assessment of genetic diversity and population structure, hybridity testing, and other marker-assisted plant breeding applications.
Refractory vaccine-induced thrombotic thrombocytopenia (VITT) managed with delayed therapeutic plasma exchange (TPE)
Authors: Major Ajay , Carll Timothy , Chan Clarence W. , Christenson Chancey , Wool Geoffrey D. , Cohen Kenneth S. 
Published: July 2021

Abstract
Vaccine-induced thrombotic thrombocytopenia (VITT) is a newly-described hematologic disorder which presents as acute thrombocytopenia and thrombosis after administration of adenovirus-based vaccines against COVID-19. Due to positive assays for antibodies against platelet factor 4 (PF4), VITT is managed similarly to autoimmune heparin-induced thrombocytopenia (HIT) with intravenous immunoglobulin (IVIG) and non-heparinoid anticoagulation. We describe a case of VITT in a 50-year-old man with antecedent alcoholic cirrhosis who presented with platelets of 7 × 103/µL and portal vein thrombosis 21 days following administration of the Ad26.COV2.S COVID-19 vaccine. The patient developed progressive thrombosis and persistent severe thrombocytopenia despite IVIG, rituximab and high-dose steroids and had persistent anti-PF4 antibodies over 30 days after his initial presentation. As such, delayed therapeutic plasma exchange (TPE) was pursued as salvage therapy, with a rapid and sustained improvement in his platelet count. Our case serves as proof-of-concept of the efficacy of TPE in VITT.
Evaluation of Groundwater quality and suitability for irrigation using hydro-chemical process in Bhavani taluk, Erode District, Tamilnadu, India
Authors: Bari Jabar Abdul , Perumal Karthikeyan , Muthuramalingam Subagunasekar 
Published: July 2021

Abstract
In most regions of the present study area, Bhavani Taluk, groundwater quality is deteriorating at an alarming rate as a result of anthropogenic activities, however, little attention was given to groundwater quality and management. This research examines the quality of groundwater in Bhavani Taluk, Tamilnadu and compares its suitability for irrigation. The Bhavani region of Erode District, Tamilnadu is the most cultivated, with a considerable use of fertilizers and pesticides. Groundwater quality for irrigation purposes was assessed during the pre-monsoon season by collecting samples from 53 different locations. Physico-chemical parameters such as pH, EC, TDS, HCO3−, CO32−, Cl−, SO42−, NO3−, Ca2+, Mg2+, Na+ and K+were measured in these groundwater samples. Irrigation quality measures such as salinity hazard, sodium hazard expressed as SAR, percentage of sodium (% Na), and permeability index (PI) were calculated to evaluate groundwater quality for agricultural irrigation. Based on the classification of Electrical conductivity (EC) most of the groundwater samples are falling under the permissible limit. As per the USSL diagram, the large majority of groundwater samples fall within the category of C3-S1 and the water is suitable for irrigation. Piper trilinear diagram interpretations were made to know the chemical type of the groundwaters. The piper diagram indicates that 50% of the groundwater sample were belongs to Mg2+, Ca2+, HCO3−, and Cl−. The groundwater samples fall under Class I category according to Doneen’s Classifications.
Fuzzy linear regression analysis for groundwater response to meteorological drought in the aquifer system of Xanthi plain, NE Greece
Authors: Papadopoulos Christopher , Spiliotis Mike , Gkiougkis Ioannis , Pliakas Fotios , Papadopoulos Basil 
Published: July 2021

Abstract
This paper studies, through the principles of fuzzy set theory, groundwater response to meteorological drought in the case of an aquifer system located in the plains at the southeast of Xanthi, NE Greece. Meteorological drought is expressed through standardized Reconnaissance Drought Index (RDISt) and Standardized Precipitation Index (SPI), which are calculated for various reference periods. These drought indices are considered as independent variables in multiple fuzzy linear regression based on Tanaka's model, while the observed water table regarding two areas is used as a dependent variable. The fuzzy linear regression of Tanaka is characterized by the inclusion constraints where all the observed data must be included in the produced fuzzy band. Hence, each fuzzy output can get an interval of values where a membership degree corresponds to each of them. A modification of the Tanaka model by adding constraints is proposed in order to avoid irrational behavior. The results show that there was a significant influence of the meteorological drought of the previous hydrological year, while geology plays an important role. Furthermore, the use of RDISt improves the results of fuzzy linear regressions in all cases. Two suitability measures and a measure of comparison between fuzzy numbers are used.
Hourly water demand forecasting using a hybrid model based on mind evolutionary algorithm
Authors: Huang Haidong , Zhang Zhixiong , Lin Zhenliang , Liu Shitong 
Published: July 2021

AbstractA hybrid model based on the mind evolutionary algorithm is proposed to predict hourly water demand. In the hybrid model, hourly water demand data are first reconstructed to generate appropriate samples so as to represent the characteristics of time series effectively. Then, the mind evolutionary algorithm is integrated into a back propagation neural network (BPNN) to improve prediction performance. To investigate the application potential of the proposed model in hourly water demand forecasting, real hourly water demand data were applied to evaluate its prediction performance. In addition, the performance of the proposed model was compared with a traditional BPNN model and another hybrid model where the genetic algorithm (GA) is used as an optimization algorithm for BPNN. The results show that the proposed model has a satisfactory prediction performance in hourly water demand forecasting. On the whole, the proposed model outperforms all other models involved in the comparisons in both prediction accuracy and stability. These findings suggest that the proposed model can be a novel and effective tool for hourly water demand forecasting.
Colorectal Serrated Lesions: A Current View on Clinical, Morphological,
Molecular, and Genetic Diagnostic Criteria
Authors: Mikhaleva Liudmila M. , Vandysheva Rositsa A. , Midiber Konstantin Yu. , Vasyukova Olesya A. , Pechnikova Valentina V. , Patsap Olga I. , Beylerli Ozal , Somasundaram Siva G. , Kirkland Cecil E. , Aliev Gjumrakch 
Published: July 2021

Objective:
Serrated colorectal lesions are a group of colonic lesions with a serrated
(saw-tooth) profile of the surface epithelium and crypts, and peculiar molecular and
genetic developmental mechanisms that are incompletely understood. These formations
cause concern due to their premalignant potential.

Aim:
The review is dedicated to serrated lesions of colon and appendix. We focused on
modern classification, role in carcinogenesis, as well as new approaches to morphological
diagnosis.

Methods:
A literature search was performed using PubMed, Scopus, ResearchGate, Google,
MEDLINE, and ScienceDirect databases to find studies of serrated colorectal lesions
related cancer published between 2000 and 2020 that address epidemiological risk factors,
underlying pathophysiological mechanism and enable our review of these factors as
well as molecular, genetics, and structural patterns.

Results:
Serrated colorectal lesions take one third of all benign neoplasms of the colon in
the pathologist’s practice. The active study of serrated lesions began in the 1900s. Terminology
and diagnostic criteria changed in the updated classification in 2019. Morphological
criteria, immunohistochemical and molecular profile, endoscopic and clinical characteristics
are reviewed.

Conclusion:
Although significant efforts were made in attempt to improve our understanding
and diagnostic criteria of serrated polyps of colorectum, very little has changed
since the original morphologic description of preneoplastic serrated lesions in early
2000s. There remains a need for more research in order to develop more definitive immuophenotypic
and molecular biomarkers in order to distinguish between non-neoplastic
and neoplastic serrated lesions.
Oxidative Stress and Cellular Senescence: The Key Tumor-promoting Factors in Colon Cancer and Beneficial Effects of Polyphenols in Colon Cancer Prevention
Authors: Bhatiya Meenu , Pathak Surajit , Banerjee Antara 
Published: July 2021

Background:Colon cancer is the third leading cause of cancer-related deaths worldwide. Colon tumorigenesis is a sequential process called “Adenoma-carcinoma sequence”. The alimentary habits, obesity, heavy alcohol consumption, inflammatory bowel diseases, family history of colon cancer, oxidative stress, and cellular senescence are the major risk factor influencing colon cancer development. Senescence contributes to the aging process as well as the development and progression of colon cancer. However, the precise mechanism underlying the aging-related progress of colon cancer is yet to be answered. Recent studies proposed that the senescent cell secretes Senescence-Associated Secretory Phenotype (SASP) includes pro-inflammatory cytokines, interleukins, growth factors, and proteases actively involved in the creation of pro-tumorigenic microenvironment.Objective:This review aims to provide an overview of ROS influence cellular senescence and colon cancer development as well as summarize the antioxidant and antiaging activity of natural flavonoids. Many of the studies had reported that pro-aging genes suppress cancer and various ‘markers’ are used to identify senescent cells in vitro and in vivo. The SASP of the cells may act as a link between senescence and cancer.Conclusion:This review facilitates a better understanding and might contribute to diagnostic and prognostic systems as well as to find out the novel and targeted therapeutic approaches. Additionally, we focused on the potential role of natural flavonoids in colon cancer therapies and highlighting the flavonoid-based treatments as innovative immunomodulatory strategies to inhibit the growth of colon cancer.
The Use of Nanoparticles to Enhance Performance in the Textile Industry -
A Concise Review
Authors: Perera Shamara , Wijesekara Dilendra , Thiripuranathar Gobika , Menaa Farid 
Published: July 2021

:
Nanotechnology in the textile industry has gained popularity in the commercial market
over the years. It is based on utilizing the characteristic properties of nanomaterials to improve the
functionality of the textile. The present article focuses on different types of nano moieties, their
properties, such as water repellence, self-cleaning, UV-protection, anti-microbial and flame retardancy,
and their applications in various sectors. We also discuss smart textiles, operating mechanisms,
and their economic importance. We conclude that the successful application of nanotechnology in
the textile industry lies in producing sustainable and multifunctional fabrics to meet the increasing
customer demand.
Comparison of Methods for Detecting Methicillin-Resistant Coagulase-Negative Staphylococci in Device-Associated Infections
Authors: Amer Wesam Hatem , Abd Elghafar Mohamed Samir , Abd-El-monsef Marwa Mohamed Ezzat 
Published: July 2021

Background:
Coagulase-negative Staphylococci (CoNS) is one of the major causes of infections
in hospitals. Methicillin resistance has greatly increased in different CoNS species in previous
years. Here, we evaluated the performance of four phenotypic tests for detecting mecA-mediated
methicillin resistance rate in CoNS isolated from different device-associated infections in Tanta
University Hospitals, Egypt.

Methodology:
One hundred and fifteen CoNS isolates were examined for mecA-mediated methicillin
resistance using polymerase chain reaction (PCR) as the standard gold test. Susceptibility to
methicillin was investigated using VITEK 2 assay, oxacillin broth microdilution, and cefoxitin disc
diffusion tests.

Results:
Of all isolates, 98.3% were mecA-positive. The sensitivities of the different methods examined
were as follows: 100% for the VITEK cefoxitin test, 97.4% for the VITEK oxacillin test,
93.8% for the oxacillin broth microdilution, and 82.3% for the cefoxitin disc diffusion test. The test
specificity could not be accurately determined because of the small number of mecA-negative isolates
(n = 2).

Conclusion:
The rate of methicillin resistance reached 98.3% among CoNS isolates. Our results demonstrate
that the VITEK 2 assay is rapid and has high sensitivity compared to other phenotypic
methods for detecting methicillin resistance among different species of CoNS. Therefore, we recommend
the dual measurement of both cefoxitin and oxacillin susceptibilities using the VITEK 2
assay for best results.
Withdrawal Notice: Detection of Electricity Theft by Applying Deep Learning Techniques in Electrical Distribution Network: A Comprehensive Review
Authors: Yadav Rakhi , Kumar Yogendra 
Published: July 2021

The article has been withdrawn at the request of the editor of the journal Recent Advances in Computer Science and
Communications due to incoherent content.

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Data Analytics and Modeling in IoT-Fog Environment for Resourceconstrained
IoT-Applications: A Review
Authors: Farooq Omar , Singh Parminder 
Published: July 2021

Introduction:
The emergence of the concepts like Big Data, Data Science, Machine
Learning (ML), and the Internet of Things (IoT) in recent years has added the potential of research
in today's world. The continuous use of IoT devices, sensors, etc. that collect data continuously is
putting tremendous pressure on the existing IoT network.

Materials and Methods:
This resource-constrained IoT environment is flooded with data acquired
from millions of IoT nodes deployed at the device level. The limited resources of the IoT Network
have driven the researchers towards data Management. This paper focuses on data classification at
the device level, edge/fog level, and cloud level using machine learning techniques.

Results:
The data coming from different devices is vast and is of variety. Therefore, it becomes
essential to choose the right approach for classification and analysis. This will help in optimizing
the data at the device, edge/fog level for better performance of the network in the future.

Conclusion:
This paper presents data classification, machine learning approaches, and a proposed
mathematical model for the IoT environment.
Effect of Interventions With a Clinical Decision Support System for Hospitalized Older Patients: Systematic Review Mapping Implementation and Design Factors
Authors: Damoiseaux-Volman Birgit A , van der Velde Nathalie , Ruige Sil G , Romijn Johannes A , Abu-Hanna Ameen , Medlock Stephanie 
Published: July 2021

BackgroundClinical decision support systems (CDSSs) form an implementation strategy that can facilitate and support health care professionals in the care of older hospitalized patients.ObjectiveOur study aims to systematically review the effects of CDSS interventions in older hospitalized patients. As a secondary aim, we aim to summarize the implementation and design factors described in effective and ineffective interventions and identify gaps in the current literature.MethodsWe conducted a systematic review with a search strategy combining the categories older patients, geriatric topic, hospital, CDSS, and intervention in the databases MEDLINE, Embase, and SCOPUS. We included controlled studies, extracted data of all reported outcomes, and potentially beneficial design and implementation factors. We structured these factors using the Grol and Wensing Implementation of Change model, the GUIDES (Guideline Implementation with Decision Support) checklist, and the two-stream model. The risk of bias of the included studies was assessed using the Cochrane Collaboration’s Effective Practice and Organisation of Care risk of bias approach.ResultsOur systematic review included 18 interventions, of which 13 (72%) were effective in improving care. Among these interventions, 8 (6 effective) focused on medication review, 8 (6 effective) on delirium, 7 (4 effective) on falls, 5 (4 effective) on functional decline, 4 (3 effective) on discharge or aftercare, and 2 (0 effective) on pressure ulcers. In 77% (10/13) effective interventions, the effect was based on process-related outcomes, in 15% (2/13) interventions on both process- and patient-related outcomes, and in 8% (1/13) interventions on patient-related outcomes. The following implementation and design factors were potentially associated with effectiveness: a priori problem or performance analyses (described in 9/13, 69% effective vs 0/5, 0% ineffective interventions), multifaceted interventions (8/13, 62% vs 1/5, 20%), and consideration of the workflow (9/13, 69% vs 1/5, 20%).ConclusionsCDSS interventions can improve the hospital care of older patients, mostly on process-related outcomes. We identified 2 implementation factors and 1 design factor that were reported more frequently in articles on effective interventions. More studies with strong designs are needed to measure the effect of CDSS on relevant patient-related outcomes, investigate personalized (data-driven) interventions, and quantify the impact of implementation and design factors on CDSS effectiveness.Trial RegistrationPROSPERO (International Prospective Register of Systematic Reviews): CRD42019124470; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=124470.
The Use of Person-Centered Language in Medical Research Journals Focusing on Psoriasis: Cross-sectional Analysis
Authors: Ottwell Ryan , Heigle Benjamin , Reddy Arjun K , Sajjadi Nicholas , Wirtz Alexis , Cook Courtney , Howard Hannah , Hartwell Micah , Vassar Matt 
Published: July 2021

Background
Person-centered language places a person’s identity before any disability or medical condition they may have. Using person-centered language reduces stigma and improves the patient-physician relationship, potentially optimizing health outcomes. Patients with psoriasis often feel stigmatized due to their chronic skin condition.

Objective
We seek to evaluate the use of person-centered language in psoriasis literature and to explore whether certain article characteristics were associated with non–person-centered language.

Methods
We performed a systematic search on PubMed for recently published articles in journals that regularly publish psoriasis studies. After article reduction procedures, randomization, and screening, we reached our target sample of 400 articles. The following non–person-centered language terms were extracted from each article: “Psoriasis Patient,” “Psoriasis subject,” “Affected with,” “Sufferer,” “Suffering from,” “Burdened with,” “Afflicted with,” and “Problems with.” Screening and data extraction occurred in a masked duplicate fashion.

Results
Of the 400 included articles, 272 (68%) were not adherent to person-centered language guidelines according to the American Medical Association Manual of Style. The most frequent non–person-centered language term was “Psoriasis Patient,” found in 174 (43.5%) articles. The stigmatizing language was associated with the type of article and funding status, with original investigations and funded studies having higher rates of stigmatizing language.

Conclusions
Articles about psoriasis commonly use non–person-centered language terms. It is important to shift away from using stigmatizing language about patients with psoriasis to avoid potential untoward influences. We recommend using “patients with psoriasis” or “patient living with psoriasis” to emphasize the importance of person-centered care.