bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circulating bacterial peptides and linked metabolomic signatures are indicative of early mortality in Paediatric Cirrhosis
Authors: Mathew Babu , Tripathi Gaurav , Gautam Vipul , Bindal Vasundhra , Sharma Nupur , Yadav Manisha , Pandey Sushmita , Sharma Neha , Gupta Abhishak C , Bhat Sadam H , Saini Akhilesh K , Sood Vikrant , Lal Bikrant Bihari , Alam Seema , Khanna Rajeev , Maras Jaswinder Singh 
Published: March 2023

Abstract

Introduction: Paediatric Cirrhosis-Sepsis (PC-S) patients attain early mortality. Plasma bacterial composition, the cognate metabolites and their contribution in the deterioration of PC-S patients to early mortality in unknown. We aimed to delineate the plasma metaproteome-metabolome landscape and identify molecular indicators capable of segregating PC-S patients predisposed to early mortality using untargeted metaproteomics-metabolomics by UHPLC-HRMS followed by validation using Machine learning (ML) algorithms.
Methods: We enrolled 160 patients with liver diseases [Cirrhosis-Sepsis/Nonsepsis (n=110); Non-cirrhosis (n=50)] and performed untargeted metaproteomics-metabolomics on a training cohort of 110 patients (Cirrhosis-Sepsis/Nonsepsis; n=70 and Non-cirrhosis; n=40). The candidate predictors were validated on two test cohorts - T1 (Plasma test cohort) & T2 (one drop blood test cohort). Both T1 & T2 had 120 patients each, of which 70 were from the training cohort.
Results: Increased levels of tryptophan metabolites, Salmonella enterica and Escherichia coli associated peptides segregated cirrhotic patients. Increased levels of Deoxyribose-1-phosphate, N5-Citryl-D-ornithine and Herbinix hemicellulolytic and Leifsonia xyli segregated PC-S patients. MMCN based integration analysis of WMCNA-WMpCNA identified key microbial-metabolic modules linked to PC-S Non-survivors. Increased Indican, Staphylobillin, Glucose-6-phosphate, 2-Octenoylcarnitine, Palmitic acid and Guanidoacetic acid along with Leifsonia xyli, Mycoplasma genitalium and Hungateiclostridium thermocellumsegregated PC-S Non-survivors and superseded the liver disease severity indices with high accuracy, sensitivity & specificity for mortality prediction using random forest ML algorithm.
Conclusions: Our study reveals a novel metabolite signature panel capable of segregating PC-S patients predisposed to early mortality using as low as one drop blood.
HatEmoTweet: Low Level Emotion Classifications and Spatio-Temporal Trends of Hate and Offensive COVID-19 Tweets
Authors: Adesokan Ademola , Madria Sanjay , Nguyen Long 
Published: March 2023

Abstract
Social media platforms (like Twitter) positively and negatively impact users in diverse societies; one of Twitter’s negative effects is the usage of hate and offensive language. Hate speech fosters prejudice; it also harms the vulnerable. There are always emotions associated with hateful and offensive actions. This work addressed hate and offensive tweet detection, low-level emotional classifications using 28 labels to train transformers models in three ways (model 1-BERTG28, model 2-BERTG27 and model 3-RoBERTaG27) before predicting the hateful and offensive tweets emotions. Model 1 was trained on low-level labels, and model 2 and 3 were trained on 27 labels excluding the neutral label. This study performed topic modeling to extract the discussed theme, spatiotempo-ral trends to determine where and when these tweets occurred, and event summarization for identified hate and offensive tweets. GoEmotions and Ekman were used for direct and indirect assessment, respectively, to evaluate the model’s precision, recall, and F1-score. In terms of precision evaluation, the model 1 outperformed Google Research on GoEmo-tions. Furthermore, this study’s model 2 and 3 outperformed the Google research on both the GoEmotions and Ekman’s evaluation in terms of precision and F1-score. Generally, model 2 was the best model in the Social Network Analysis and Mining analysis for both recall and F1-score while model 3 performed better for precision. Due to the training on samples without the neutral label, model 2 obtained 27% and model 3 achieved 29% label prediction out of the 30% neutral samples that was predicted in model 1 for hate and offensive tweets. This is a significant improvement to optimize classified emotions that are not truly neutral by eliminating the false neutral classes.
In Vivo Application of Potent Probiotics for enhancing potato growth and controlling Ralstonia solancerium and Fusarium oxysporum infections
Authors: Abdelmoghies Ahmed Hamdy , El-Sehrawy Motaz hassan , Zakaria Abeer Emam , Fahmy Shimaa Mohamed 
Published: March 2023

Abstract

Plant probiotics are live microbial cells or cultures that support plant growth and control plant pathogens through different mechanisms. They have various effects on plants, including plant growth promotion effects through the production of indole acetic acid (IAA), biological control activity, and production of cellulase enzyme, thus induction of systemic resistance and increasing the availability of mineral elements. The present work aims at studying the potentials of Achromobacter xylosoxidans and Bacillus safensis as plant probiotics for the field cultivation of potatoes. In vitro studies of A. xylosoxidans and B. safensis have proved their abilities to produce IAA, and cellulase as well as exhibited antimicrobial activity against two plant pathogens that infect Solanum tuberosum as Fusarium oxysporum and Ralstonia solancerium under different conditions at a broad range of temperatures and pHs. Probiotic isolates A. xylosoxidans and B. safensis were able to tolerate (ultraviolet) Radiation exposure for up to two hours, the dose-response curve exhibited that the D10 values of A. xylosoxidans and B. safensis were 28 and 16 respectively. The in vivo study of the effects of probiotics A. xylosoxidans and B. safensis on S. tuberosum grown in sandy loamy soil was detected after cultivation for 60 days. The addition of both probiotic isolates either broth or wheat separately has enhanced all the growth parameters, however, the better results and increased production was in favor of adding probiotics with broth more than wheat. In the case of adding both probiotics with broth, the shoot dry weight was increased from 28 ± 1.0 in the control to 50 ± 1.2 gm, shoot length increased from 24 ± 1 to 45.7 ± 2 cm, branches numbers increased from 40 ± 4 to 70 ± 5, leaves number increased from 99 ± 6 to 130 ± 5, root dry weight increased from 9.3 ± 1.7 to 12.9 ± 2 gm, root length increased from 24 ± 3.8 to 35.7 ± 2 cm, tuber weight increased from 15 ± 2.3 to 37.0 ± 2 gm and tuber number increased from 9 ± 1 to 24.4, and the shoot and root rot percentage was reduced to 0%. On the other hand, both probiotics showed a remarkable protective effect against potato pathogens separately and reduced the negative impact of the infection using them together.
Epigenetic modifiers either individually or in specific combinations impair viability of patient-derived glioblastoma cell line while exhibiting moderate effect on normal stem cells growth
Authors: Alexanian Arshak , Stoellinger Heidi , Farias Virginea De Araujo , Quinones-Hinojosa Alfredo 
Published: March 2023

Abstract
Glioblastomas (GBM), also known as glioblastoma multiforme, are the most aggressive type of brain cancers. Currently, there is no real treatment for GBM and thus there is a compelling need for new therapeutic strategies for such type of cancers. Recently, we demonstrated that specific combinations of epigenetic modifiers significantly affect the metabolism and proliferation rate of two most aggressive GBM cell lines D54 and U-87. Importantly, these combinations exhibited minimal effect on normal stem cells growth. In this study we demonstrated that the combinations of modulators of histone and DNA covalent modifying enzymes that synergistically suppress D54 and U87 cell lines growth, also impair the viability of a patient freshly-derived GBM stem cell line. These data suggest that epigenetic modifiers alone or in specific combinations exhibit cytotoxic effect on established and low passage patient derived GB cell lines and thus could be a promising therapeutic approach for such type of brain cancers.
Effectiveness and Medicoeconomic Evaluation of Home Monitoring of Patients With Mild COVID-19: Covidom Cohort Study
Authors: Jaulmes Luc , Yordanov Youri , Descamps Alexandre , Durand-Zaleski Isabelle , Dinh Aurélien , Jourdain Patrick , Dechartres Agnès 
Published: March 2023

Background
Covidom was a telemonitoring solution for home monitoring of patients with mild to moderate COVID-19, deployed in March 2020 in the Greater Paris area in France to alleviate the burden on the health care system. The Covidom solution included a free mobile application with daily monitoring questionnaires and a regional control center to quickly handle patient alerts, including dispatching emergency medical services when necessary.

Objective
This study aimed to provide an overall evaluation of the Covidom solution 18 months after its inception in terms of effectiveness, safety, and cost.

Methods
Our primary outcome was to measure effectiveness using the number of handled alerts, response escalation, and patient-reported medical contacts outside of Covidom. Then, we analyzed the safety of Covidom by assessing its ability to detect clinical worsening, defined as hospitalization or death, and the number of patients with clinical worsening without any preceding alert. We evaluated the cost of Covidom and compared the cost of hospitalization for Covidom and non-Covidom patients with mild COVID-19 cases seen in the emergency departments of the largest network of hospitals in the Greater Paris area (Assistance Publique-Hôpitaux de Paris). Finally, we reported on user satisfaction.

Results
Of the 60,073 patients monitored by Covidom, the regional control center handled 285,496 alerts and dispatched emergency medical services 518 times. Of the 13,204 respondents who responded to either of the follow-up questionnaires, 65.8% (n=8690) reported having sought medical care outside the Covidom solution during their monitoring period. Of the 947 patients who experienced clinical worsening while adhering to daily monitoring, only 35 (3.7%) did not previously trigger alerts (35 were hospitalized, including 1 who died). The average cost of Covidom was €54 (US $1=€0.8614) per patient, and the cost of hospitalization for COVID-19 worsening was significantly lower in Covidom than in non-Covidom patients with mild COVID-19 cases seen in the emergency departments of Assistance Publique-Hôpitaux de Paris. The patients who responded to the satisfaction questionnaire had a median rating of 9 (out of 10) for the likelihood of recommending Covidom.

Conclusions
Covidom may have contributed to alleviating the pressure on the health care system in the initial months of the pandemic, although its impact was lower than anticipated, with a substantial number of patients having consulted outside of Covidom. Covidom seems to be safe for home monitoring of patients with mild to moderate COVID-19.
Views and Needs of Students, Parents, and Teachers on Closed-Circuit Television, Proximity Trackers, and Access Cards to Facilitate COVID-19 Contact Tracing in Schools: Thematic Analysis of Focus Groups and Interviews
Authors: Chantziara Sofia , Craddock Ian J , Mccallum Claire H , Brigden Amberly  L C 
Published: March 2023

Background
Contact tracing is considered a key measure in preventing the spread of infectious diseases. Governments around the world adopted contact tracing to limit the spread of COVID-19 in schools. Contact tracing tools utilizing digital technology (eg, GPS chips, Bluetooth radios) can increase efficiency compared to manual methods. However, these technologies can introduce certain privacy challenges in relation to retention, tracking, and the using and sharing of personal data, and little is known about their applicability in schools.

Objective
This is the second of two studies exploring the potential of digital tools and systems to help schools deal with the practical challenges of preventing and coping with an outbreak of COVID-19. The aim was to explore the views, needs, and concerns among secondary school stakeholders (parents, teachers, pupils) regarding the implementation of three digital tools for contact tracing: access cards, proximity tracking, and closed-circuit television (CCTV).

Methods
Focus groups and interviews were conducted with secondary school students, parents, and teachers. The topic guide was informed by the Unified Theory of Technology and Acceptance. Data-driven and theory-driven approaches were combined to identify themes and subthemes.

Results
We recruited 22 participants. Findings showed that there is no single solution that is suitable for all schools, with each technology option having advantages and limitations. Existing school infrastructure (eg, CCTV and smart/access cards technology) and the geography of each school would determine which tools would be optimal for a particular school. Concerns regarding the cost of installing and maintaining equipment were prominent among all groups. Parents and teachers worried about how the application of these solutions will affect students’ right to privacy. Parents also appeared not to have adequate knowledge of the surveillance technologies already available in schools (eg, CCTV). Students, who were mostly aware of the presence of surveillance technologies, were less concerned about any potential threats to their privacy, while they wanted reassurances that any solutions would be used for their intended purposes.

Conclusions
Findings revealed that there is not one tool that would be suitable for every school and the context will determine which tool would be appropriate. This study highlights important ethical issues such as privacy concerns, balancing invasions of privacy against potential benefits, transparency of communication around surveillance technology and data use, and processes of consent. These issues need to be carefully considered when implementing contact tracing technologies in school settings. Communication, transparency, and consent within the school community could lead to acceptance and engagement with the new tools.
Discussion on the Problems of Bohr’s Hydrogen Atom Theory in Basic Theory
Authors: Lixin Yuan 
Published: March 2023

According to the charge momentum and charge kinetic energy, it is proved that the key problem of the basic theory of Bohr hydrogen atom is that equation does not hold. For the same electron of the hydrogen atom, the left side of the equation is the mechanical kinetic energy, the right side of the equation is the charge energy, the fundamental properties and the concept of energy are split. Based on experiments, this paper analyzes and calculates the combined energy of hydrogen, lithium and oxygen atoms, hydrogen atom radius and the ground state energy of hydrogen atom are obtained. This ground state energy is basically consistent with the Balmer system of hydrogen atomic spectrum ; Electron around the nuclear velocity . hydrogen atom radius is calculated by using energy , which verifies the correctness of charge momentum and charge kinetic energy and their experimental basis. The ground state energy atom and radius of Bohr hydrogen is derived under the condition that the basic theory has problems and the theoretical formula is set to , which has no experimental basis. The fundamental problem of quantum mechanics is that the theoretical formula of photoelectric effect is not correct, which is demonstrated in this paper. The relationship between the structure of hydrogen atom and the evolution of the universe is also discussed.
Targeting Cancer Cell Signaling Using Precision Oncology Towards a Holistic Approach to Cancer Therapeutics
Authors: Kumar Manish 
Published: March 2023

The mutational changes occurring in the regulatory genes responsible for
the maintenance of optimal cell growth and proliferation gradually lead
to cancer progression and metastasis. Furthermore, patients with the
same cancer types often respond differently to different cancer
therapies, indicating the need for a patient-specific treatment regimen
for the disease. Precision 34 oncology is the new field of cancer
research that relies on genetic profiling of individual tumors to
identify targetable alterations for custom-tailored personalized
treatment of the disease. It is to rely upon the genomic study of cancer
cells to get a clear picture of the prognosis and pathways involved in
disease progression and to look for the means to selectively target them
for a cure. This article intends to briefly explain the foundations and
frontiers of precision oncology in the context of technological advances
being made in this direction to assess its scope and importance in the
realization of a proper cure for cancer.
Limiting-Efficiency Assessment on Advanced Crystalline Silicon Solar Cells with Auger Ideality Factor and Wafer Thickness Modifications
Authors: Su Qiao , Lin Hao , Wang Genshun , Tang Hanbo , Xue Chaowei , Li Zhenguo , Xu Xixiang , Gao Pingqi 
Published: March 2023

With the improvement of surface passivation, bulk recombination is
becoming an indispensable and decisive factor to assess the limiting
efficiency ( η lim ) of crystalline silicon (c-Si) solar cells. In
simultaneous consideration of surface and bulk recombination, a modified
model of η lim evaluation is developed. Surface recombination is
directly depicted with contact selectivity while bulk recombination is
revised on the aspects of ideality factor and wafer thickness. The η lim
of cutting-edge photovoltaic technologies, double-side tunneling-oxide
passivating contact (TOPCon) and silicon heterojunction (SHJ) solar
cells, are numerically simulated using the new model as 28.73% and
29.00%, respectively. Hybrid solar cells consisting of n-type TOPCon
contact and p-type SHJ contact can approach an η lim as high as 29.18%
at the optimal wafer thickness ( W opt ) of 103 μm . Our results are
instructive in accurately assessing efficiency potential and accordingly
optimizing design strategies of c-Si solar cells.
Exploring the Success Factor Of Digital Marketing: A case study of Private Healthcare Organization in an Emerging Economy
Authors: Mallick Sidra Urooj 
Published: March 2023

Abstract
The purpose of this study is to assess the potential of social media platforms to build a successful marketing campaign for the private health-care industry. This will be accomplished by studying the current trends, audiences, and marketing tactics that are applied to these channels. In addition, the research will make a contribution to this understanding by investigating the efficacy of various types of marketing strategies that are used in the private health-care industry, such as influencer marketing, content marketing, and social media advertising, and how these strategies can be leveraged to create marketing strategies that are more effective. This research project will also focus on identifying any bottlenecks that could be hindering the utilisation of these channels and providing solutions to improve their effectiveness in the marketing mix. This will be done as part of the overall goal of improving the effectiveness of the marketing mix. At the end of the day, the purpose of this research is to develop an understanding of how social media channels can be utilised successfully as an important instrument in marketing for the health-care industry.
The Optimization of working parameters to improve the quality of plastics in an injection molding process
Authors: Iqbal Muhammad Iqbal Asif , Amjad Muhammad 
Published: March 2023

Improvement is required in any industry to increase the productivity by reducing the defects rate and remove the overall waste produced during manufacturing process. In this research paper, the working parameters are optimised that are responsible for process variation. A plastics manufacturing company, the major problems were flow marks and air bubbles appeared on the surface of mould part a car side mirror plastic cover. Because of these problems, the overall production of company was decreasing that resulted in customer dissatisfaction and company could not achieve its daily production target. The responsible working parameters for process variation are found to be injection pressure, melting temperature along with viscosity and flow rate of molten material during injection moulding process. The injection speed and screw speed are also considered. The analysis of variance (ANOVA) test was conducted to find most critical working parameters. It is identified that response surface methodology (RSM) can be used to optimise the working parameters to improve the quality of moulded part that will increase process efficiency by 50%. The data was collected from four machines to find which machine is causing more problems that is found to be Tederic 450 tone machine. This machine has more problems as compared to other machines. Acrylonitrile Butadiene Styrene (ABS) material is used for the production of car side mirror plastic cover. The Rejection of this moulded part was counted 35% of total rejection. After optimization, the rejection is reduced to 16% is recorded which is significant improvement.
Quality optimization of OSPFV3 and EIGRP for IPV4 in hierarchical network environment using GNS3 tool
Authors: Brohi Allah Bachayo , Riffat Saher  , Shaikh Asad Ali 
Published: March 2023

In network world, due to shortage of IP addresses in version 4, a new version of IP address, namely IPv6, has come into play, but due to non-exchange ability between IPv4 and IPv6, different routing protocol is come to play for IPv6 that is RIPng, OSPFv3 and EIGRP for IPv6 in the place of RIP, OSPFv2 and EIGRP in IPv4 environment. Transmission of data is based on the routing protocol which selects the best routes in network world. Two types of interior routing protocol which selects the best routes in network world that is distance vector and link state. In this research we compare two types of routing protocol are chosen as the simulation base that is OSPFv3 (Link state) and EIGRP IPv6 (Distance Vector) in terms of convergence and router CPU usage. These routing protocols are mostly used in network as well as internet. In this project, we are going to use GNS3 to simulate and compare OSPF and EIGRPv6 with authentication and without authentication in large hierarchical network using ipv4 and ipv6 environment. On top of everything, as a second step GNS3 simulator installed. Familiarity with GNS3 is essential to achieve this research study. As a second step, a certain hierarchical routing scheme scenarios will be created. Secondly, OSPFv3 and EIGRP IPv6 without authentication implemented and configured to get the required results in terms of CPU processing power and convergence time. Later, OSPFv3 and EIGRP IPv6 with authentication implemented and configured to get results for a comparison in terms of resources usage and convergence. As a final stage overall results of the research study compared to analyze the research parameters which are with and without authentication on both routing protocols. At the end of this research study, the result is drawn and presented in the thesis and a final comparative analysis presented in tabular format. In this Research study compare two parameters, CPU utilization and Processing power with and without authentication. We found that OSPFv3 uses less power as compared to EIGRP for IPv6 without authentication in hierarchal environment, but it takes more time to converge and with authentication it is also found that it ospfv3 uses less power as compared to EIGRP for IPv6 while EIGPR for IPv6 is faster than OSPFv3.