bluuebunny/crossref_metadata_2025_split huggingface dataset:
SAFEST: A Safeguarding Analytical Framework for dEcentralised Senstive daTa
Authors: Ryser-Welch Patricia , Abarrategui-Martinez Leire , Banerjee Soumya 
Published: September 2022

Abstract
An increasing demand and dependence of analyzing a data has been driven by
“Big Data” and “Internet of Things (IoT)”. Scientific reproducibility, robustness
and the cost of capturing new data has been improved through findable, accessible,
interoperable, and reusable data sharing. Ethical and legal restrictions impose
the use of privacy preservation and protection measures for any disclosive and
sensitive information. We, therefore, present a possible model to support multidisciplinary
research team to protect against disclosure of individual-level data
and large datasets used in other disciplines. We argue a technology reliance is not
enough and a continuous collaboration that adapt to new cyber-security, and data
inferential threat is needed. We consequently conclude some standards could lead
to closer collaboration to support research and innovation in the long term
GA-SLE: A hybrid algorithm for heart disease prediction using feature selection mechanism
Authors: Kushwaha Pradeep Kumar , Thirunavukkarasan M. 
Published: September 2022

Abstract
Heart disease is the leading cause of death around the globe, killing more people than cancer. A study published in the Journal of the American Heart Association shows that gene variants in our genes can increase our risk of heart failure by as much as 40%. To make matters worse, the number of people with advanced heart failure is expected to rise by 30% by the year 2030. Some of the most common heart disease symptoms include chest pain, shortness of breath, and fatigue. It has been observed that machine learning can provide efficient heart disease prediction over a large amount of data thereby, empowering the patients and health care experts with the knowledge to make more accurate decisions at an appropriate time-bound. The central aspect of our proposed research is to build up a hybrid machine learning classifier using a Genetic Algorithm with a Super learner ensemble (GA-SLE) for the detection of heart disease with increased accuracy. In our study, the proposed system is compared with various machine learning algorithms such as Random Forest (RF), Multilayer Perceptron (MLP), K- Nearest Neighbour (KNN), Extra Tree (ET), Extreme Gradient Boosting (XGB), Super Vector Classifier (SVC), Stochastic Gradient Descent(SGD), AdaBoost, Decision Tree(CART), Gradient Boosting(GBM) using 10-Fold cross-validation and hyperparameter tuning. A regressed comparative analysis of all three approaches has been performed with the help of a table and plot. The proposed GA-SLE outperforms all other ML classifiers, obtaining a prediction accuracy of 99.8% with minimum error loss. As per our findings, the current GA-SLE classifier enables the practitioner to detect and diagnose the sickness in the early stage of the disease.
Effect of Color–Shape Associations on visual feature discrimination
Authors: Chen Na , Watanabe Katsumi 
Published: September 2022

Abstract

Non-synesthetes exhibit a tendency to associate specific shapes with particular colors (i.e., circle–red, triangle–yellow, and square–blue). Here, we used two Go/No-go tasks to examine the congruency priming effect of color-shape associations on recognition efficiency of color and shape features. At the beginning of each trial, a target color or shape word was introduced, followed by a colored-shape visual stimulus. Participants were required to press a key to a target stimulus (“go” cues), while withholding their responses to a non-target stimulus (“no-go” cues). The targets were presented either visually (visual word, Experiment 1) or auditorily (spoken word, Experiment 2). Results showed a congruency effect of color-shape associations on recognition efficiency for color and shape features in both experiments. Response times were shorter in congruent than incongruent conditions, that a target could be recognized faster when it was presented with the congruent visual features than with incongruent ones, irrespective of the presentation form (visual or auditory). These results suggest that color-shape associations can be strong to influence visual recognition of color and shape features.
A modified Timing Metric for Timing Synchronization in NC-OFDM System
Authors: Das Anuja , Mohanty Biswajit , Sahu Benudhar 
Published: September 2022

Abstract
In a traditional method of timing synchronization in the OFDM system, data on regularly spaced subcarriers are transmitted. However, the concept of data transmission on regular spaced sub- carriers does not fulfil the requirement of cognitive radio (CR) system in achieving dynamic spectrum management, free from interference from the primary users. So, Non-Contiguous OFDM (NC-OFDM) is considered for CR to support high data rate transmission in a wireless environment, it overcomes multipath delay spread.NC-OFDM system has high spectrum efficiency, so it is useful for CR system. Several synchronization schemes have been explored for the OFDM system. However, these schemes are not appropriate for NC-OFDM system as these schemes do not use deactivated subcarriers. In this paper, a modified timing metric for the timing synchronization in NC-OFDM based CR system is proposed. The performance of the proposed timing synchronization scheme is compared with the traditional Park and Zhang schemes.
Effect of Water Stress on Production and Quality of Sweet Corn Seed1
Authors: Chotena M. , Makus D. J. , Simpson W. R. 
Published: September 2022

Abstract
Four mid-season inbreds of sweet corn (Zea mays L.) were subjected to moderate or high soil moisture stress at tasseling, silking, or 2 weeks after silking. Soil moisture stress two weeks after silking was associated with a significant increase in the incidence of stalk rot symptoms 80 days after planting. Stalk rot and the percent seed-borne Fusarium moniliforme Sheld. were highly correlated. Stress at silking significantly reduced both yield components and seed quality attributes. Seed size distribution was influenced by the occurrence of water deficits, while the percent marketable seed was not.
The Relationship of ATP Concentration to Germination and Seedling Vigor of Vegetable Seeds Stored under Various Conditions1
Authors: Styer R. C. , Cantliffe D. J. , Hall C. B. 
Published: September 2022

Abstract
The possibility of using seed adenosine triphosphate (ATP) content as an indicator of seed vigor was studied. Seeds of corn (Zea mays L.), cucumber, (Cucumis sativus L.), onion (Allium cepa L.), and radish (Raphanus sativus L.) with seed moisture contents of 5, 10, 15, 20, or 25% were stored at temperatures of −10°, 5°, 15°, 25°, or 35°C for 0, 2.5, 5, and 10 months. Germination and seedling vigor decreased as storage time, temperature, and moisture level increased. Viability was lost in most seeds after 2.5 months at high temperature (25-35°) and high moisture (20-25%) contents. Seed stored at 5° and 5% moisture maintained the highest viability and seedling vigor over the 10-month storage. Low temperature (−10°) and high seed moisture levels (20-25%) reduced germination and vigor of radish seed. Seed ATP content did not correlate with reduced germination or vigor in any species. ATP concentrations consistently decreased over the 10-month storage period in all seeds stored at −10°. However, this trend did not correlate with the other vigor indices.
Differential Seed and Seedling Vigor in Shrunken-2 Compared to Three Other Genotypes of Corn at Various Stages of Development1
Authors: Styer R. C. , Cantliffe D. J. , Hannah L. C. 
Published: September 2022

Abstract
New hybrids of sweet corn (Zea mays L.) utilize genes which allow the build-up of high levels of sugar but which also lead to problems with seed and seedling vigor. In this study, ATP and various seedling vigor measurements were compared with seed germination and seedling vigor in normal and 3 corn endosperm mutants harvested at 16 to 42 days post-pollination. Germination and seedling vigor measurements (germination rate, radicle length, fresh and dry weight) showed that a shrunken-2 (sh2) corn was significantly lower in both laboratory and field tests than sugary (su), brittle (bt), and normal. The latter 3 genotypes were nearly equal in seedling vigor. Sugar levels of all mutants and normal were similar at 42 days post-pollination. Total polysaccharides in sh2 were 50% or more below the other 3 genotypes. ATP levels in seeds imbibed 4 hours, were generally similar in sh2 as in the other genotypes. In a time course study of 0 to 96 hr imbibition using 42 day-old seeds, the ATP content of sh2 seeds, was generally as high or higher than in the other 3 genotypes. It did not appear that ATP level was related to poor vigor during the early stages of germination of sh2 corn seeds.
Effect of Harvest Duration on Yield and on Depletion of Storage Carbohydrates in Asparagus Roots1
Authors: Shelton D. R. , Lacy M. L. 
Published: September 2022

Abstract
Harvesting a young planting of asparagus (Asparagus officinalis L.) for 4 or 6 weeks the second year after transplanting 1-year-old crowns, followed by harvesting for 8 or 10 weeks the third year, reduced yields significantly the fourth year. Carbohydrate levels in asparagus storage roots decreased during harvest and continued to decrease after harvest during fern production. Carbohydrate levels increased in storage roots after stalks had matured, and were restored to preharvest levels by mid- to late summer. All treatments possessed comparable levels of storage carbohydrates by the end of the season. Asparagus storage carbohydrates were identified as fructose-oligosaccharides, which varied considerably in size, mobility, and percent fructose and glucose. The largest oligosaccharides were composed of ∼ 90% fructose, ∼ 10% glucose; molecular weights did not exceed 4,000.
A Sensitive Method for Measuring Changes in Calcium Concentration in ‘McIntosh’ Apples Demonstrated in Determining Effects of Foliar Calcium Sprays1
Authors: Weis S. A. , Drake M. , Bramlage W. J. , Baker J. H. 
Published: September 2022

Abstract
Three different methods of sampling flesh of apple (Malus domestica Borkh.) for Ca analysis produced different results due to uneven Ca distribution in the fruit. A sensitive, reproducible method of sampling and analyzing the outer cortex of the calyx half of fruits indicated that Ca concentration in different parts of the fruit changed significantly after harvest, decreasing in the core and increasing in the outer cortical tissues. Massive applications of CaCl2 to trees shortly before harvest increased flesh Ca concentrations and red coloration of the fruit, decreased flesh softening during storage and senescent breakdown after storage, but caused significant injury to the fruit.
Genetic and Environmental Influences on Carrot Flavor1
Authors: Simon P. W. , Peterson C. E. , Lindsay R. C. 
Published: September 2022

Abstract
Sensory analysis was performed on 4 carrot (Daucus carota L.) entries (inbred lines B6274 and B3615 and open-pollinated cultivars ‘Imperator 58’ and ‘Nantes’) grown in Florida, Texas, and California. Variation from entries and locations was observed for 5 sensory attributes. Significant differences were found among entries for harsh flavor (burning, turpentine-like flavor) and among locations for overall carrot flavor. Florida-grown roots elicited low sweetness and low overall carrot flavor responses, Texas-grown carrots expressed distinct differences in harsh flavor, and California-grown carrots had less harsh flavor with more sweetness and more overall carrot flavor. Significant inter-line differences were observed for different attributes at each location. Sensory analysis over all locations indicated that B3615 was more harsh, less sweet, and less preferred than the other entries. Harsh flavor and sweetness were used as independent variables in regression analyses and were found to account for much variation in overall preference and intensity of flavor differences. Harsh flavor could not be masked by dipping B3615 roots in 30% fructose. Phloem is harsher, sweeter, more flavorful, and preferred to xylem while a comparison of crown, midsection, and tip displays a significant acropetal reduction in carrot flavor.
Color Breakdown in Anthurium (Anthurium andreanum Lind.) Spathes Caused by Calcium Deficiency1
Authors: Higaki T. , Rasmussen H. P. , Carpenter W. J. 
Published: September 2022

Abstract
A color breakdown disorder in the lobe (proximal) section of the spathe of Anthurium andreanum Lind., was related to calcium deficiency. Elemental and electron microprobe X-ray analysis of spathe and leaf tissue revealed significantly lower Ca associated with color breakdown. In nutrient cultures, color breakdown was produced in the spathes of plants grown without Ca. Addition of Ca corrected the disorder. Elemental analysis of spathe and leaf tissues indicated lower Ca uptake at pH 3 and 4, higher at pH 6, and highest at pH 7. Ca was always lower in the lobe than tip (distal part) of the spathe at all pH levels. X-ray analysis also showed lower Ca in affected than in normal spathes.
Effect of Nitrate and Ammonium Nitrogen on the Growth and Mineral Composition of Crassulacean Acid Metabolism Plants1
Authors: Maftoun M. , Rouhani I. , Bassiri A. 
Published: September 2022

Abstract
Effects of 2 N forms and 5 N levels on the growth and mineral composition of 3 species of crassulacean acid metabolism (CAM) plants were studied. Plants supplied with N produced more top dry weight and contained higher chlorophyll and N concentrations than those grown without N. CAM plants appeared to utilize and equally well as measured by dry weight except in Sedum telephoides, where fertilization with reduced leaf growth. Leaf area and chlorophyll concentrations were generally higher in plants supplied with than in those supplied with . Ammonium nutrition increased total N concentration in some plant parts of S. telephoides and Kalanchöe verticillata. Moreover, the leaf and stem mineral composition were not significantly affected by the rate and form of N or their interaction. Apparently the N requirements of CAM seedlings is relatively low on calcareous arid region soils in Iran. Furthermore, fertilization generally suppressed growth of CAM plants as compared to those fertilized with .
Helicobacter pylori Infection: Conventional and Molecular Strategies for
Bacterial Diagnosis and Antibiotic Resistance Testing
Authors: Ranjbar Reza , Sahebkar Amirhossein , Ebrahimi Amir 
Published: September 2022

Abstract:
Helicobacter pylori infection is a common health problem, which can cause gastric and
extragastric diseases. Accurate detection of H. pylori is critical for appropriate patient management
and bacterial eradication. In this regard, there are several methods for the diagnosis of H. pylori infection, which are classically divided into two major groups of invasive and non-invasive methods.
Invasive methods, such as endoscopy, histology, and relative culture are less preferred due to their
operational difficulties. By contrast, non-invasive methods, such as urea breath test, (UBT) are clinically preferred. Moreover, molecular methods, including polymerase chain reaction (PCR)-based
methods, next-generation sequencing (NGS), and DNA microarray, have shown good sensitivity and
specificity, and are considered helpful in H. pylori diagnosis. These methods have also increasingly
concentrated on the detection of bacterial antibiotic resistance patterns. Besides, point of care (POC)
devices play an important role in H. pylori diagnosis, mainly by shortening the time to the result and
by making the test available at the bedside or at remote care centres. Biosensors, including aptasensors, have shown to be more appropriate tools because of their low limit of detection, high selectivity, fast response, and ease of handling. Finally, new emerging techniques, like MALDI-TOF MS,
have been considered as fast methods with high degree of accuracy and sensitivity to identify and
differentiate new species of H. pylori. The current article reviews the most recent developments in
invasive, noninvasive, and molecular approaches for the diagnosis of H. pylori infections. Moreover,
the application of emerging techniques, including MALDI-TOF MS and recently developed POCs,
and biomarker-based methods, is discussed.
Hoe betrouwbaar zijn onze archeologische veldverkenningen in Italië eigenlijk?
Authors: Hoen Suzanne , Bruinsma Jildou , Witmer Evelien , Van Leusen Martijn 
Published: September 2022

How reliable are our Italian field surveys really? This article presents the main results of three student-thesis based analyses of data obtained in field survey experiments carried out by the last author in Calabria (southern Italy) in 2014. Two separate experiments were conducted to study the differences between individual field walkers, and the ability of the GIA standard fieldwalking protocol to achieve a representative sample of the surface archaeological record. The analyses confirm and quantify the variability between walkers, as well as some of the survey biases that had already been suspected, and provide arguments for improving surveying practice in the Mediterranean. They also alleviate some concerns with respect to other parameters, such as sherd size.
Crossidium geheebii (Pottiaceae, Bryophyta), un nuevo registro para el continente americano
Authors: Cottet Agustina C. , Messuti María I. 
Published: September 2022

Antecedentes y Objetivos: Aunque la brioflora de Argentina ha sido extensamente estudiada, aún quedan ambientes por explorar y taxones que deberán registrarse. El objetivo de este trabajo fue reportar un nuevo registro, Crossidium geheebii, para el continente americano. Métodos: Los especímenes fueron recolectados en la Patagonia argentina. Empleando un microscopio óptico se observó la morfología y anatomía de las hojas, tallos y esporofitos.Resultados clave: Se presenta una breve descripción, discusión, mapa de distribución e ilustración de la especie reportada. También se incluye una clave para identificar las especies del género Crossidium, con distribución en América.Conclusiones: Se registra por primera vez a Crossidium geheebii para el continente americano.
Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment
Authors: Lin Senlin , Li Liping , Zou Haidong , Xu Yi , Lu Lina 
Published: September 2022

Background
Deep learning–assisted eye disease diagnosis technology is increasingly applied in eye disease screening. However, no research has suggested the prerequisites for health care service providers and residents willing to use it.

Objective
The aim of this paper is to reveal the preferences of health care service providers and residents for using artificial intelligence (AI) in community-based eye disease screening, particularly their preference for accuracy.

Methods
Discrete choice experiments for health care providers and residents were conducted in Shanghai, China. In total, 34 medical institutions with adequate AI-assisted screening experience participated. A total of 39 medical staff and 318 residents were asked to answer the questionnaire and make a trade-off among alternative screening strategies with different attributes, including missed diagnosis rate, overdiagnosis rate, screening result feedback efficiency, level of ophthalmologist involvement, organizational form, cost, and screening result feedback form. Conditional logit models with the stepwise selection method were used to estimate the preferences.

Results
Medical staff preferred high accuracy: The specificity of deep learning models should be more than 90% (odds ratio [OR]=0.61 for 10% overdiagnosis; P<.001), which was much higher than the Food and Drug Administration standards. However, accuracy was not the residents’ preference. Rather, they preferred to have the doctors involved in the screening process. In addition, when compared with a fully manual diagnosis, AI technology was more favored by the medical staff (OR=2.08 for semiautomated AI model and OR=2.39 for fully automated AI model; P<.001), while the residents were in disfavor of the AI technology without doctors’ supervision (OR=0.24; P<.001).

Conclusions
Deep learning model under doctors’ supervision is strongly recommended, and the specificity of the model should be more than 90%. In addition, digital transformation should help medical staff move away from heavy and repetitive work and spend more time on communicating with residents.
Non-steroidal Anti-Inflammatory Drugs as protective Factor in Alzheimer's Diseases: a Systematic Review and Meta-Analysis Protocol (Preprint)
Authors: Asthana Akash , Tripathi Shashank , Agarwal Rachna 
Published: September 2022

BACKGROUND

NSAIDs inhibit COX-2, which is responsible for regulating neurons leading to neurodegeneration in AD. AD is a neurodegenerative disease affecting the geriatric population, as it affects more than two third cases of dementia in the sphere. Results obtained from experimental and observational studies were unclear regarding the protective role of NSAIDs in AD, therefore this justifies the need for Meta-analysis.

OBJECTIVE

1)	Role of NSAIDs, as a protective factor for AD in Experimental study design
2)	Role of NSAIDs, as a protective factor for AD in Cohort study design
3)	Role of NSAIDs, as a protective factor for AD in Case-Control study design

METHODS

Database search was PubMed, WebScience, and Embase. Experimental studies and Observational studies investigating the effect of NSAIDs on AD. For experimental studies indicators used were MMSE score, ADAS-cog score, CDR-sob score, NPI score, and Hazard ratio. Similarly for Observational studies, Odds Ratio and Relative Risk are used.

RESULTS

As the study is still ongoing, therefore it is not possible to write its results at this stage. There is a total of 06 (MMSE, ADAS-cog, CDR-sob, HR, RR, and OR) indicators used in the ongoing study, so 06 results will be obtained showing the pooled effect size which may indicate the use of NSAIDs as a protective factor for Alzheimer’s disease

CONCLUSIONS

Conclusion can be drawn only after the final meta-analysis using three study design (RCT, Cohort and Case-control study designs) and six indicators.

CLINICALTRIAL

PROSPERO [CRD42022301179]
prospero (crd42022301179)
Pruebas presuntivas y confirmatorias de sangre: enseñanza de la química en la hematología forense
Authors: Figueroa Martínez Francisco , Martínez Romero Valeria Elena , Villavicencio Queijeiro Alexa 
Published: September 2022

<p>Una de las disciplinas de la Ciencia Forense que se centra en el estudio de los fluidos y materiales biológicos es la <em>Hematología y Serología Forense</em>. Ésta puede ayudar a responder preguntas como ¿Se trata de un fluido biológico de interés forense?; ¿Es de origen humano?; ¿Cómo se depositó el fluido en el lugar de investigación o “escena del crimen”?; todas ellas preguntas relevantes antes de enviar una muestra a análisis genéticos para finalmente identificar a quién pertenece dicho fluido biológico. Cada una de estas preguntas se puede responder mediante el uso de diversas pruebas y análisis, específicamente mediante pruebas presuntivas y confirmatorias. Aunque existen diversas pruebas, el fundamento de todas se centra en la presencia del grupo prostético de la hemoglobina (grupo hemo) y las reacciones en las que este grupo puede participar. El tema de pruebas presuntivas y confirmatorias es un punto de salida, en el marco de la primera modificación al Plan de estudios de la LCF para discutir sobre la pertinencia de los temas a seleccionar en los cursos de química considerando el perfil profesional de los egresados.</p><div> </div>