bluuebunny/crossref_metadata_2025_split huggingface dataset:
From Waste to Wheat: The Impact of Recycled Manganese Sulfate from Dry Cell Batteries on Water-Stressed Wheat Cultivation
Authors: valson aparna , Varma Nimisha , Suman Naveen 
Published: June 2023

Abstract

Micronutrient deficiencies in soils of India have been reported as a significant hindrance to crop productivity, particularly in the semi-arid regions. In this study, we evaluated the efficacy of recycled liquid manganese (2.11% Mn) obtained from dry cell batteries on the growth and yield of wheat plants. Two application methods, foliar application and seed priming, were tested with varying concentrations. Under foliar application, three concentrations were used (0.5%, 0.75%, and 1%), while under seed priming, two concentrations were used (0.05M and 0.1M) combined with different foliar applications. The pot trials showed a significant increase in the yield of wheat with foliar application of manganese. The best results were obtained with 0.75% and 0.5% foliar application, showing early booting and a higher number of plants per 10 cm2. Germination rates were higher in the 0.05M concentration, which combined with 0.75% foliar application, showed the best results. Additionally, resistance to various soil-borne diseases was observed, and the tests were conducted under water stress conditions. Our findings suggest that recycled manganese from dry cell batteries can be an effective and sustainable solution to improve crop yield in regions with micronutrient-deficient soils.
Prognostic Awareness, Preferences for Prognostic Information, and Health-related Quality of Life Among Advanced Cancer Patients in Kenya
Authors: Elias Hussein , Ozdemir Semra , Bairavi Joann , Achieng Emmah , Finkelstein Eric Andrew 
Published: June 2023

Abstract
Background
Little is known about prognostic awareness and preferences for prognostic information among patients with advanced cancer in Kenya. This study aims to fill that gap.
Methods
Outcome variables included a measure of prognostic awareness and preferences for prognostic information. Logistic regressions examined the associations between these variables and patient characteristics including age, years of education, socioeconomic status, and symptom burden.
Results
A substantial proportion of patients (36%) were unaware of their prognosis and most (69%) did not want to receive additional prognostic information. Patients with greater preferences for receiving prognostic information were older, more educated, of lower socioeconomic status, and reported less symptom burden.
Conclusion
The high levels of unawareness and preferences against prognostic information provide a challenge for efforts to increase shared decision-making and patient autonomy among historically disenfranchised populations. Greater efforts to educate patients on the value of prognostic awareness should be encouraged.
Psychological Personality Traits Assessed in 481 Transgender Groups Using the Minnesota Multiphasic Personality Inventory
Authors: Liu Yan , Wang Zhanqiang , Dong Hanwen , Zhang Yueqian , Yang Kebing , Yang Qingyan , Niu Yajuan 
Published: June 2023

Abstract
Objective: To explore the psychological characteristics of personality in transgender groups and whether these characteristics differ according to sociodemographic factors.
Methods: This cross-sectional study was conducted between January 2021 and April 2023 at a psychosexual outpatient clinic in a Beijing psychiatric hospital. 481 individuals were included in this study, and demographic information was collected using a self-administered general information questionnaire, and psychological personality traits were administered using the Minnesota Multiphasic Personality Inventory.
Results: The mean scores of MtFs were higher than the male normals in all 10 clinical factors of the MMPI, and the differences were significant (P<0.01 or P<0.001). Both the Mf and D factors exceeded the clinical threshold (T>60) and were the highest and second highest in the entire scale profile; FtMs were significantly higher than female normals in Hy, Pd, and Ma (P<0.05, P<0.01 or P<0.001); There was a significant difference in the detection rate of abnormal values of different factors of MMPI (T>60) in gender, age and education (P<0.05, P<0.01 or P<0.001).
Conclusion: MtFs may have a variety of psychological distress, especially the need to focus on the primary education, 25 years old and below the transgender female personality psychological development.
Research on Log4j vulnerability and its severity
Authors: Shriyal Swati , Patil Shantanu 
Published: June 2023

Abstract
Objectives- This research paper aims to investigate the Log4j vulnerability, which was recently discovered as a major threat to information systems security. The primary focus of this study is to analyze the vulnerability's technical characteristics, the potential impacts of exploitation, and the available mitigation strategies.
To achieve this objective, the paper will cover the following points:
Overview of the Log4j vulnerability: This section will provide an overview of the Log4j vulnerability, its technical characteristics, and the methods used by attackers to exploit it.
Findings -According to a research paper on the Log4j vulnerability, there was a rush of scanners in the two months following the disclosure of the vulnerability. Multiple vantage points were used to observe the activity, indicating the severity of the issue
Impacts of the Log4j vulnerability: This section will discuss the potential impacts of exploiting the vulnerability, such as data breaches, system downtime, and financial losses.
Mitigation strategies: This section will cover the available mitigation strategies to prevent exploitation of the vulnerability, such as upgrading to the latest version, applying patches, and implementing additional security measures.
Case studies: This section will present case studies of organizations that have been impacted by the Log4j vulnerability and their response to the incident.
Overall, this research paper aims to provide a comprehensive understanding of the Log4j vulnerability, its impacts, and the available mitigation strategies to help organizations protect their information systems from this threat.
COVID-19 Vaccine Acceptance and Hesitancy among University Community members in Otukpo, Nigeria: A Cross-Sectional Study
Authors: Zakari Suleiman , Ogbu Celestine O. , Zakari Hajara , Chioma Eze Sabina , Ijimbili Samuel Bawa , Idoko Jennifer Ene , Emmanuel Andrew Oche , Nnenna Amuji Doris , Agwara Bright Chiaka , Adokiye Efere Sarah , Idowu Ayodeji Oluwafemi , Edegbene Ovie Augustine , Anejo-Okopi Joseph 
Published: June 2023

Abstract
Coronavirus disease (COVID-19) is a global public health problem that has had a detrimental influence on the economy of countries of the world, including Nigeria:
(1) Background: The study assessed the level of COVID-19 vaccine acceptance, hesitancy and its associated factors among staff and students of Federal University of Health Sciences Otukpo, Benue State, Nigeria;
(2) Methods: The web-based cross-sectional survey was conducted between November 2021 and April 2022. The data was collected and analysed using descriptive and inferential statistics;
(3) Results: Of the hundred and fifty (150) completed and analysed questionnaires the mean age of the respondents was 34.8 ± 8.64 years, of which majority of them 80.0% (122) ranging between 16 and 45 years. The majority of the respondents 77.3% (116) have been tested for the virus to know their status. In total, 51.2% of trial participants indicated hesitancy to get the COVID-19 vaccine. The two most frequent reasons for hesitation were scepticism about the vaccination due to fast production and rollout (32.2%) and fear of vaccine side effects due to social media movements (23.3%). The most often cited reasons for not receiving the COVID-19 vaccination included uncertainty about its efficacy, a lack of knowledge about the vaccine, a preference for another kind of protection, and unreliability of the vaccine (due to its rapid development). Staff category (Academics, non-academics, students, and health workers), age, and religion were the significant associated factors influencing vaccine acceptance and hesitancy (P < 0.05);
(4) Conclusions: The university community has a high level of awareness of COVID-19 pandemic but vaccine acceptance is low resulting high levels of vaccine hesitancy. These findings suggest that there is a need for further information and education on the COVID-19 vaccine, particularly in communities where vaccine hesitancy is prevalent. This can be achieved through targeted outreach programs, community engagement initiatives, and effective communication strategies that address the concerns and questions of individuals who are hesitant about receiving the vaccine.
Temperature assessment in newborn: A better method
Authors: PRASHANTH M R , E Pavithra Shree B , B Namratha K 
Published: June 2023

Abstract
BACKGROUND
Accurate temperature assessment is essential in neonatal care as minor temperature changes can have a significant impact on the health and well-being of newborns. The purpose of this study was to compare the performance of three different types of thermometers, including non-contact infrared, digital, and mercury thermometers, for temperature assessment in newborns.
METHODS
This was a prospective, comparative study conducted between April 2022 and August 2022 in Cheluvamba Hospital, Mysuru. A total of 400 healthy newborns were included in the study. Temperature readings were taken from the mid-forehead non-contact infrared thermometer and axilla using digital and mercury thermometers, while maintaining aseptic precautions. Parental oral consent was obtained for participation.
RESULTS
The mean temperature recorded with the digital thermometer in the axilla was statistically higher than that recorded with the mercury thermometer. The non-contact infrared thermometer showed a strong positive correlation with the mercury thermometer for the axilla region.
CONCLUSION
The digital thermometer is a useful device for easy and valid measurement of skin temperature in newborns, especially when applied to the axilla. The findings suggest that the use of digital thermometers for axillary temperature measurement in neonates is supported by previous studies, which have reported their accuracy and reliability in comparison to mercury thermometers. The non-contact infrared thermometer may have limitations and its accuracy may vary depending on the site of measurement. The use of digital thermometers for neonatal temperature measurement may be more convenient, less hazardous, and equally reliable compared to traditional mercury thermometers.
Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction
Authors: Heydari A. Ali , Prieto Javier , Patel Shwetak , Rezaei Naghmeh 
Published: June 2023

Abstract
Blood tests are an essential tool for healthcare providers to diagnose, monitor, and treat a wide range of medical conditions. however, quantitative approaches for personalizing such metrics are nascent and often ignore important factors such as health behaviors. Moreover, recent studies have shown that raw (untransformed) representations of health records are inadequate for constructing predictive models, especially when considering a single time point. Here, we investigate the association of activity and sleep with blood biomarker ranges, and based on our results, propose Proteus, a new deep metric learning algorithm that accounts for health behaviors. We show that Proteus significantly improves the performance of several downstream analyses, including the prediction of future health risk in currently-healthy patients using a single laboratory visit. Building upon our findings, we additionally introduce DeepRange, a novel lifestyle-informed algorithm, which utilizes deep-learned embeddings for estimating personalized optimal blood test ranges. Our proposed methodology for personalized blood biomarker ranges and single-visit health risk prediction can be readily implemented and has the potential to significantly improve health outcomes by enabling early intervention and enhanced personalization.
A new method based on kernel feature selection topredict important vernalization genes in wheat(Triticum aestivum L.)
Authors: Ashoori Nooshin , Panhai Majid , Ehsan Rahmatizad Khajehpasha , Davoud Koolivand , Reza Fotovat 
Published: June 2023

Abstract
The elucidation of the molecular mechanisms underlying vernalization, a crucial adaptation mechanism for ensuring timelyflowering, is of paramount importance. However, several aspects of this process remain ambiguous. In this paper, we employedthe kernelPLS multivariate feature selection method to identify candidate genes that can accurately predict vernalized versusnon-vernalized states in Norstar winter wheat using a microarray dataset. By employing the nearest neighbor weight difference(NNWD) method to select the most optimal subset of features ranked by kernelPLS, we identified 22 top-ranked genes. ThroughGene Ontology (GO) enrichment analysis, we uncovered the diverse functions of transcription factors and genes involved invernalization and the modulation of flowering, shedding light on the regulation of cold responses. The efficacy of our approachwas validated through rigorous evaluation using real data, which further supports the robustness of our method. Thus, ourproposed method represents a potent strategy for predicting pivotal genes associated with vernalization, thereby contributing toa deeper understanding of this crucial phenomenon.
On the relationship between maximum tree height, elevation and climate in European mountain ranges
Authors: Gelabert Pere , Rodrigues Marcos , Coll Lluís , Vega-Garcia Cristina , Ameztegui Aitor 
Published: June 2023

Abstract
Mountain forests face significant threats from global change and spatio-temporal variation in tree height can help to monitor these effects. While tree height is typically measured through field inventories, remote sensing can provide accurate and extensive forest structure data. In this study, we used the Global Ecosystem Dynamics Investigation space-borne laser sensor (GEDI) to examine the relationship between maximum tree height and elevation, temperature, and precipitation in the main European mountain ranges. We found a non-linear relationship between elevation and maximum tree height in all mountain ranges, supporting the existence of a common breakpoint that marks the beginning of the tree development limitation. Temperature and precipitation were identified as the most important drivers of tree height variation. Additionally, we predicted significant upward displacement of the breakpoint under climate change scenarios, potentially increasing the area without growth limitations for trees. However, the displacement of the breakpoint may not align with the movement of the treeline, impacting on alpine ecosystems. These findings contribute to understanding the impacts of global warming on mountain forest ecosystems and provide insights for their monitoring and managing.
Quorum sensing bacteria improve microbial networks stability and complexity in wastewater treatment plants
Authors: Liu Qiuju , Hu Jie , Jin Ying , Wang Qian , Zhao Fuzheng , Wu Linwei , Zhou Dandan , Wang Jinfeng , Ren Hongqiang 
Published: June 2023

Abstract

Background
Quorum-sensing bacteria (QSB) are crucial for microbial communication, yet their ecological role in wastewater treatment plants (WWTPs) remains unclear. In this study, targeting 130 WWTPs across China, we aimed to construct an identification method for QSB and to explore the abundance distribution of QSB in activated sludge communities and its role in community structure.
Results
We developed a method to identify QSB by comparing 16S rRNA gene sequences. QSB in 388 activated sludge samples collected from 130 WWTPs across China were primarily identified as rare taxa and conditionally rare taxa. A co-occurrence network shared by all sludge communities revealed that QSB exhibited a higher average clustering coefficient (0.46) than non-QSB (0.15). Individual sludge networks demonstrated that quorum sensing microbiomes positively correlated with network robustness and complexity, including average clustering coefficient and link density. Compared with the abundance and richness of QSB, the number of quorum sensing keystones was especially critical for network robustness and connectivity. Additionally, average connectivity, average clustering coefficient and relative modularity strongly correlated with network robustness (r = 0.70–0.90), indicating the positive relationship between network complexity and stability. Hence, QSB contribute to maintaining the community stability of activated sludge.
Conclusions
We elucidated the ecological significance of QSB and provide guidance for improving the community structure in an artificial ecosystem.
Oncogenic KRAS promotes pancreatic ductal adenocarcinoma (PDAC) through post-transcriptionally regulated KRAS-induced granules (KGs)
Authors: Bortoletto Angelina , Yang Ziyue , Cardenas Mara , Wang Man-Tzu , McCormick Frank , Parchem Ronald 
Published: June 2023

Abstract

Over 90% of pancreatic ductal adenocarcinoma (PDAC) tumors harbor mutations in KRAS, which promote many hallmark characteristics of cancer. How a single driver mutation causes the malignant properties observed in PDAC is poorly understood. We discovered that oncogenic KRAS causes an accumulation of mRNA, which drives the localization of components of the mRNA degradation machinery into novel post-transcriptional condensates termed KRAS-induced granules (KGs). Mechanistically, we find that KG formation depends on the phosphorylation of Argonaute2 at tyrosine393 and requires EGFR, but not MEK and PI3K signaling. Targeted transcriptomic analysis suggests that KGs are enriched for transcripts targeted by misregulated miRNAs, leading to decreased mRNA turnover and increased translation of pro-tumor transcripts. Using in vivo and in vitro models, we find that genetic ablation of KGs leads to delayed tumorigenesis, reduced angiogenesis, and decreased innervation. Our findings reveal an essential and therapeutically targetable role for altered post-transcriptional regulation in PDAC tumorigenesis.
Benzimidazolium Gallate: Organic Crystal for Photonic and Optoelectronic Applications
Authors: Catherine P. , Gunasekaran B. , Kumar P. Praveen 
Published: June 2023

Abstract
Solvent evaporation was used to create a novel organic optical crystal of Benzimidazolium gallate (BGA). The size of unit cells was determined using XRD analysis.
FT-IR spectrum analysis revealed chemical bonds' vibrational behavior and their functional groups’ existence. Optical transparency and optical bandgap (3.66 eV) were observed by the UV-Visible-near Infrared spectral analysis. TG/DSC curves show that decomposition is exhibited at 215 0C. Dielectric experiments on the BGA crystal were performed at ambient temperature. HR-SEM analysis shows the crystal's nature and surface shape. The Z-scan process explored the BGA crystal's nonlinearity, and the crystal is suitable for photonic, optoelectronic, and optical-limiting applications.
Role of MANET and Artificial Bee Colony (ABC) Algorithm to Make Smart Campus Model, With Smart Sensors
Authors: Verma Neeraj , Varshney Manish 
Published: June 2023

Abstract

In the decade of Internet of Thing, Machine Learning and Big data we are ready to accumulate lot of sensors and intelligent devices for making our real world environment more accessible, open, transparent and its records are manageable for future purpose i.e. either just for fetching or analyze for future perspective. In contrast, an institutional campus is also ready for fully automation where all the major participants like students, academician, management and others, should be observed as an entity with their different attributes. Meanwhile those campuses are not functioning in isolation, it depends and Interco-related to some other organizations and modules also, so that they have to synchronized and update their data accordingly. Here the whole scenario views from computer network perspective, where all the participating members observed like node and in whole it creates wireless mobile ad-hoc network i.e. MANET. First will understand the campus functioning in short then look at flow of data in this system, then observes the components and their responsibility to categorized and placing them in MANET based architecture. Finally we will select and design algorithm for the whole digital campus system. This is a concept of implementing intelligent technologies to transform any existing environment into smart, here not only institutional campus but many other also can be upgraded or transform into smart like villages, cities, sports or working flow like census, PDS, Disaster Management system etc.
Propose a Full.Adder based on Bonhemmi project for MTJ Inverter.
Authors: Khalesi Elham 
Published: June 2023

Abstract
In this paper, I proposed new idea for a nano electro.magnetics Full.adder. Simulation and design of inverter and majority.voter is a work on Bonhemmi method and analysis that is based on SST.MTJ method. After this idea, we can design other gated and devices besed on this formula to implement Microprocessor and … . Spintronics devices are based on the up or down spin of the electrons rather than on electrons or holes as in the traditional semiconductor electronics devices. Magnetic processors using spintronics devices in principle are much faster and with the potential features of nonvolatile, lower power consumption and higher integration density compared with transistor-based microprocessor. Full adder is one of the most important basic units of the arithmetic/logic unit for any processors. The design of the full adder determines the speed and chip-density of a processor. In this paper, a novel spintronics full adder is proposed based on novel programmable spintronics logic devices. Only seven magnetic tunnel junction elements are needed for this full adder design.
Analysis of a non-linear beam equation
Authors: Miranda M. M. , Pereira D. C. , Araújo G. M. , Araújo M. A. F. 
Published: June 2023

Abstract
In this paper we investigate the existence, uniqueness of global solutions and asymptotic behavior for the initial boundary value problem for a non-linear beam equation\begin{equation}\label{eq.1}\left\{\begin{array}{l}u''-\Delta u+\Delta^2u+ |u|^\rho=0\mbox{ in }\Omega\times(0,\infty)\\ u=0,\;\; \displaystyle\frac{\partial u}{\partial\nu}=0 \mbox{ on }\Gamma\times(0,\infty)\\ u(x,0)=u_0(x),\;\;u'(x,0)=u_1(x), x\in\Omega,\end{array}\right.\end{equation}where $\Omega$ is a bounded domain of $\mathbb{R}^n$, $\rho>0$ is a real number, $\nu(x)$ is the exterior unit normal vector at $x\in\Gamma$.
MSC Classification: 35K60 , 35F30