bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Sampling using Data Augmentation on Imbalance Fake News Dataset
Authors: Agarwal Isha , Rana Dipti , Jariwala Aemie , Bondre Sahil 
Published: June 2022

Abstract
During this global pandemic of COVID-19, the proliferation of fake news had devastating effects on the economy and public health. From the origin of the virus, spread, self-medication to hoaxes on vaccination, it created more panic than the fatality of the virus. W.H.O. has coined the term Infodemic describing this state of society. It has raised fear and anxiety among people, which has indirectly provoked sharing and consuming of any and every information related to healthcare at disposal. Thus, the spread of health-related information over digital media has increased manifolds causing an imbalance in the media ecosystem. For better preparedness and control of the situation, it is necessary to mitigate fear among people, disperse fake news, and dispel misinformation. Many contributions were made to the research community to identify fake news without considering the imbalanced nature of the data. This work highlights the imbalanced nature of this data and analyzes approaches to sample fake news using clustering and data augmentation techniques. For data augmentation, an intuitive approach of partial back translation is proposed over direct duplication in oversampling. For this study, a dataset of healthcare news is compiled and published. This work further opens the direction of back translation application for handling imbalanced data experimentation with multiple languages and taking into account syntax and semantics of the language.
Efficacy and safety related factors of BTK inhibitors as a bridge to CAR-T therapy in R/R FL
Authors: ye xiupeng , Fan Xuemei , Cui Rui , Mu Juan , Liu Meijing , Lyu Cuicui , Li Yeqiong , Chen Lan , Zhang Jin , Li Xin , Wang Jia , Mou Nan , Deng Qi 
Published: June 2022

Abstract
Background: Although anti-CD19 chimeric antigen receptor (CAR) T cell therapy has achieved satisfactory results in relapsed/refractory (R/R) Follicular lymphoma (FL), R/R FL patients with high-risk disease characteristics, previous HSCT, bulky disease, and POD24 had a low complete response (CR).Patients and methods: Twenty-seven R/R FL patients with higher advanced disease stage, higher tumor burden or higher previous treatment lines had already received Bruton tyrosine kinase (BTK) inhibitors prior to anti-CD19-CAR T-cell therapy, or received BTK inhibitors as combination/maintenance therapy in this study. The clinical response and adverse events (AEs) were observed in this study.Results: All R/R FL patients who received BTK inhibitors prior to the study had higher advanced disease stage, tumor burden, and previous treatment lines than those who did not receive BTK inhibitors. Patients who received combination/maintenance therapy with BTK inhibitors had higher advanced disease stage and tumor burden than those who did not receive BTK inhibitors. There was no difference of POD 24, TP53, tFL, IPI score in the three groups with or without BTK inhibitors. The clinical response was lower in POD 24 group than that of in no POD 24 group. But the other poor prognostic factors did not affect the clinical response with the methods of BTK inhibitors as a bridge to CAR-T cell therapy or a combination/maintenance treatment with CAR-T cell therapy. There was no difference of the mean peaks of anti-CD19-CAR T cells in three groups with or without BTK inhibitors. It was higher in no POD 24 group and in FL group. But it was no difference between the FLIPI 1 1-2 and FLIPI 1 3-5 group, the FLIPI 2 1-2 and FLIPI 2 3-5 group. The CRS grades were higher in BTK inhibitors before CAR-T cell therapy group, no POD 24 group, FL group, FLIPI 3-5 grade group. The ICANS grade was higher in BTK inhibitors before CAR-T cell therapy group.Conclusion: Other poor prognostic factors except POD 24 did not affect clinical response with the methods of BTK inhibitors as a bridge to anti-CD19-CAR T cell therapy or a combination/maintenance treatment with CAR-T cell therapy in R/R FL patients.Trial registration: The study was registered at http://www.chictr.org.cn/index.aspx as ChiCTR-ONN-16009862 and http://www.chictr.org.cn/index.aspx as ChiCTR1800019622.
Device-to-Device communication in an uplink channel for a 5G mm-Wave cellular network
Authors: Sachan Atul , Sarma Subhra Sankha , Hazra Ranjay , Talukdar FA 
Published: June 2022

Abstract
The exponentially growing need for higher data rates and the ubiquitous usage of smartphones has led to unprecedented issues in providing seamless communication while satisfying bandwidth constraints. Enabling Device-to-Device (D2D) communication in the millimeter-wave (mm-Wave) network enhances throughput and bandwidth but at the cost of higher pathloss attenuation. Also, D2D communication introduces interference in the traditional cellular network (CN), leading to degradation in the system performance. Thus, the proposed scheme applies dynamic mode selection criteria for efficient D2D communication in a 5G mm-Wave CN. The radius of coverage of D2D users (D2Ds) is derived for switching of the modes, i.e. from inner to outer. The outer mode switching occurs when the D2Ds suffer from extensive pathloss attenuation or with increase in coverage radius. Furthermore, power optimization is done to obtain optimal D2D transmit power thereby, enhancing the data rate, which is solved using the Lagrangian dual optimization technique. The performance metric, coverage probability is also derived which depicts the capability of the proposed scheme at a higher pathloss attenuation maintaining the Quality-of-Service (QoS) constraint. Simulation results prove the efficacy of the proposed scheme. Finally, the proposed scheme is compared with the state-of-the-art schemes which further proves the superiority of the proposed scheme in terms of better efficiency.
Current Status of Pediatric Oncology Nursing in Africa: Perspective of African nurses of the International Society of Pediatric Oncology (SIOP Africa)
Authors: Afungchwi Glenn Mbah , Kiteni Elianeth , Ndagire Mariam , Maliti Biemba , Kunkel Rachael , Challinor Julia , Hollis Rachel 
Published: June 2022

Abstract
As African countries adopt the global goal of improving childhood cancer survival to 60% by the year 2030, intentional actions are required to improve nursing. This paper provides the perspective and amplifies the voice of African pediatric oncology nurses. It illuminates the room for improvement and provides a reference point for future comparison. First, we document findings from a survey of the perceived strengths and weaknesses conducted in 2017. The main strength was the humanization of care, while the major weakness was lack of training follow up and insufficient evidence to guide practice. Next, we report on nursing-related aspects of a survey to map pediatric oncology services in Africa. Only 21% of respondents in the mapping survey reported having nurses who care for children with cancer at least 75% of their time. Many centres do not have allied health workers like dieticians, play therapists, and psychologists. Furthermore, we share African pediatric oncology nurses’ research priorities identified in a 2019 survey. The top research priorities focused on professional practice and psychosocial support. In a Delphi survey to identify topics for a foundational curriculum for nurses new to pediatric oncology, 57 topics areas were identified and grouped into 12 modules. Finally, we report a single-question survey from 2022 to obtain the perspective of African nurses about the state of pediatric oncology nursing across the continent. The African nurses affirm their dedication to providing compassionate care, however, noting their vulnerability to harm and calling for certified training and better specialization recognition and remuneration.
Stress testing on credit supply
Authors: Sedai Akash , Medda Francesca 
Published: June 2022

Abstract
This study shows how post-crisis stress tests have affected the supply of home equity business loans. Stress tested banks reduce their loan originations but in terms of purchased loans, this effect is much stronger among stress tested banks that failed the exercise compared to other groups of banks. The magnitude of these effects is inversely proportional to the size of the loans. Even though the aggregate level of credit supply is relatively unchanged, within each size category of loans adopted in this study, growth rates are directly proportional to its origination size. The loan distributions significantly differ among stresstested and non-stress-tested banks and there are significant geographical shifts in loan originations both by categories of banks and size of loans.
Detection and Classification of Alzheimer’s disease Stages using Deep Learning Approach
Authors: Rao Sudheesh Kannur Vasudeva , Krishna Chethan 
Published: June 2022

Abstract
Alzheimer’s disease (AD) is a continuously growing and irreversible degenerative brain disorder. Over 50 million people worldwide are affected by dementia and 10 million new cases are reported every year. Currently there are no treatments to cure dementia, but it can be treated only if it is identified in the early stages. Analysis of tissue structures of Magnetic Resonance Imaging (MRI) leads to more accurate classification of particular brain disorders. The main objective of this work is to develop a deep learning model to detect and classify AD stages. To develop this model 1.5T weighted MRI modality of ADNI dataset are used. After balancing the data of all the three categories AD (Alzheimer’s disease), MCI (Mild Cognitive Impairment), CN (Cognitive Normal). In this work a total of 8379 samples are used. The collected MRI images are preprocessed using robust noise elimination and image enhancing algorithms i.e., CLAHE- (Contrast Limited Adaptive Histogram Equalization) and TV (Total Variation) denoising algorithms. The dataset is subjected to transfer learning and tested on five different transfer learning models. The transfer learning models have obtained the following results VGG16–82.75%, VGG19–83.76%, Xception − 85.08%, NasNetMobile − 84.07%, InceptionV3–83.76%. Then the dataset trained and tested on the proposed CNN model. It is observed that the proposed network achieved improved results and obtained the testing accuracy of about 91.17%. The experimental results of the proposed methodology proves that it provides better accuracy than existing systems.
Performance Improvement of Cell Free Massive MIMO System Using User Clustering and Access Point Selection Technique
Authors: Sheikh Tasher Ali 
Published: June 2022

Abstract
A Cell Free massive MIMO, comprising a very large number of distributed access points (APs) is a promising technology to provide high data rate, spectral efficiency (SE), and energy efficiency (EE). The system performance of cell free M-MIMO is optimal when selecting access points (AP) from a large number of APs. In this work, zero-forcing (ZF) and minimum means square error (MMSE) linear precoding are used since it is free from self-interference hence, improving the system sum-rate. Here, the maximum channel gain-based Access Point Selection (APS) algorithm is introduced for access point (AP) selection in the Cell free M-MIMO network to enhance the system data-rate. APS algorithm used to select those APs whose channel gain is highest therefore it improves the rate of the system. The same number of users is scheduled using a simple semi-orthogonal user scheduling (SUS) algorithm. We also used a user clustering algorithm for grouping the users around the AP to schedule the best users. It is observed from the results that the APS and SUS algorithm jointly improve the system rate significantly in cell free massive MIMO systems.
The continuity of police brutality in post-apartheid South Africa
Authors: Yesufu Shaka 
Published: June 2022

The objects of this research are: First, to highlight that police brutality is still ongoing in South Africa despite the end of the apartheid regime in South Africa in 1994. Second, to explore the concept of police brutality and its definitional related concepts like excessive force, reasonable force, lethal force, and de-escalation. Third, to explore possible avenues of rebuilding citizens’ loss of trust and confidence in the police.
The researcher investigated the following problems: Police excessive use of force on citizens resulting in injuries or loss of lives, understanding of reasonable force, when can police officers make use of force, a lack of proper police accountability, and citizens’ lack of trust and confidence of the police.
The main results of the research are: first, police brutality is still ongoing in South Africa due to reported incidents of brutality in some instances resulting in loss of lives at the hands of the police. Second, a conceptualization of police/citizen partnership is needed in South Africa, benefits derived from community police need to be explored more for the understanding of all stakeholders. Third, the culture of promoting violence within and outside the police service needs to be addressed. Fourth, Police brutality is an abuse of power, it portrays police officers in a bad light seen by many as oppressive apparatus of the state designed to perpetuate immediate unlawful violence against citizens. The police service has a lot to do when it comes to winning the hearts and minds of citizens. Contemporary policing must respect the rights and dignity of citizens and enforce the law without fear or favour within the laid down the constitutional mandate.
The area of practical use of the research are all citizens affected by crime, police and safer communities, human rights organisations, university students and staff members of the criminal justice department
Therapeutic Approaches for Combating Aspergillus Associated Infection
Authors: Chhillar Anil K. , Punia Aruna , Choudhary Pooja , Sharma Namita , Dahiya Sweety , Gulia Prity 
Published: June 2022

Abstract:
Now-a-days fungal infection emerges as a significant problem to healthcare management systems due to high frequency of associated morbidity, mortality toxicity, drug-drug interactions, and resistance of the antifungal agents. Aspergillus is the most common mold that cause infection in immunocompromised hosts. It's a hyaline mold that is cosmopolitan and ubiquitous in nature. Aspergillus infects around 10 million population each year with a mortality rate of 30-90%. Clinically available antifungal formulations are restricted to four classes (i.e., polyene, triazole, echinocandin, and allylamine), and each of them have their own limitations associated with the activity spectrum, the emergence of resistance, and toxicity. Consequently, novel antifungal agents with modified and altered chemical structures are required to combat these invasive fungal infections. To overcome these limitations, there is an urgent need for new antifungal agents that can act as potent drugs in near future. Currently, some compounds have shown effective antifungal activity. In this review article, we have discussed all potential antifungal therapies that contain old antifungal drugs, combination therapies, and recent novel antifungal formulations, with a focus on the Aspergillus associated infections.
Treatment Opportunities and Technological Progress Prospective for Acne
Vulgaris
Authors: Chauhan Pratik N. , Sharma Alok , Rasheed Haamid , Mathur Harshita , Sharma Priyanka 
Published: June 2022

Abstract:
A frequent inflammatory pilosebaceous disorder that affects 80–90% of teenagers, acne vulgaris
is still a concern for dermatologists and other doctors in the field of medicine. Acne has a significant
psychosocial impact and is responsible for a bigger worldwide burden of disease than psoriasis,
cellulitis, and melanoma, as measured by age-standardized disability-adjusted life years. Patients may
experience psychological problems as well as severe skin scars as a result of the condition. The pathogenesis
process of acne lesion is complex, so it is myriad of available treatment. Acne is caused by a
combination of four different pathological causes, including an increase in sebum production, irregular
follicular desquamation, P.acnes proliferation, and inflammation of the afflicted skin. Synthetic, hormonal,
and herbal treatments, as well as their efficacy in treating acne vulgaris, are discussed in this article.
The laser and light treatment for acne vulgaris available within a specific wavelength range that stimulates
type I and III collagen and elastic fibres is described in relation to radiation therapies. The innovative
drug delivery techniques are covered here, such as particle, vesicular, and colloidal delivery systems
as a prospective therapy. We will present a practical method for acne management in this article
and discuss how to assess acne, how to use topical therapies, and how systemic therapy can be used to
treat acne. This review will inform readers on the most recent advances in our understanding of acne
treatment-related technological potential, with a particular emphasis on developing treatment alternatives
and creative ways that can assist improve patient results. Acne has been the subject of substantial
research, both in terms of disease mechanism and therapeutic approaches. However, as Propionibacterium
acnes develop resistance to current medications there is a requirement for novel therapeutic modalities.
Additionally, the absence of required data regarding the efficacy of complementary and alternative
medicine (CAM) therapies needs a greater investigation into these treatment choices.
Copper Supported Imidazolylpyridine Modified SPION as an Efficient
Catalyst for Eco-friendly, One-pot and Green Synthesis of Novel (3-
Cyanothiophen-2-yl)-N-(arylsulfonyl)acetimidamide Derivatives
Authors: Adib Mehdi , Mahdavi Mohammad , Askarzadeh Mohammad 
Published: June 2022

Background:
In this paper, a novel catalyst is synthesized and characterized by immobilizing
copper onto imidazopyridine-modified superparamagnetic iron oxide nanoparticles (SPION).

Methods:
The catalyst is characterized by several methods, including TEM, SEM, ICP, DLS, and
VSM. The catalytic activity of the catalyst is evaluated in the synthesis of thiosolfunamide. The synthesized
catalyst showed very good activity in the mentioned reaction and performance for synthesizing
the desired products in high isolated yields.

Results:
For the synthesis of the products, sequential transformations enable the facile synthesis of
complex target molecules from simple building blocks in a single preparative step.

Conclusion:
The reaction can be performed with a high yield using water and ethanol as the reaction
green solvent using terminal alkynes and sulfonyl azides as starting materials. The reusability of the
catalyst was tested, and the results proved high reusability of the catalyst.
Recent Advances in Jigging Used for Mineral Separation
Authors: Chen Yinghua , Tang Jie , Li Haisheng , Chen Jukai , Cui Zhe , Xu Ziyin 
Published: June 2022

Background:
As a kind of non-renewable natural resource, mineral resources are the important
material basis of social development. Mineral resources mined need to be sorted and processed
to improve product quality and utilization rate. As an important mineral separation process, jigging has
obvious technical advantages and has been widely used in mineral separation technical field.

Objective:
In this paper, jig related patents are summarized, and their structural characteristics,
working principles and technical advantages are analyzed in detail. The research results can provide
a meaningful reference for improving mineral separation efficiency and jig technology innovation.

Methods:
Through the comparative analysis of jig related patents, the current research progress has
been summarized, and the future development direction is put forward.

Results:
The patent is mainly devoted to the external structure transformation and internal flow field
optimization of the jig, so as to achieve the purpose of energy saving and high efficiency. Studies
have shown that jigging has improved significantly, and many patents have been applied to industrial
production practices.

Conclusion:
Jig has development potential in terms of being large-scale, intelligent, highly efficient,
and energy-saving technique, and it can constantly improve the processing ability. Through the intelligent
control system to ensure the safe and stable operation of jig, and combined with new materials
and structure optimization to improve separation efficiency and working life, jig for mineral
separation is of great significance.
Effect of Probiotic Lactobacillus helveticus on Various Health Disorders
Authors: Anwar Siraj , Verma Pooja , Dutt Rohit 
Published: June 2022

Abstract:
The gut microbiota has been linked to the pathogenesis of stress-related illnesses in a
growing number of research. Chronic stress may alter behaviour, cognition, biochemistry, and gut
flora. Gut bacteria may impact the brain and body by communicating with the host through the microbiota-gut-brain axis (mostly immunological, neuroendocrine, and neurological pathways). It is
thought that taking probiotics might help with persistent stress-induced depression. Lactobacillus
helveticus is a commonly used industrial thermophilic starter in manufacturing a variety of cheeses
by fermenting milk. An increasing amount of scientific data suggests that strains of L. helveticus exhibit health-promoting qualities and their technical significance. In this review, we summarize the
findings of several main literature publications on the capacity of L. helveticus strains to affect human health favourably
Overview of SARS-CoV-2 and Possible Targets for the Management of
COVID-19 Infections
Authors: Muthuraman Arunachalam , Ramesh Muthusamy , Subramanian Aswinprakash , Dhamodharan Jagadeesh , Giap Lim Khian 
Published: June 2022

Abstract:
COVID-19 is a respiratory infection caused by a newer strain of coronavirus known as SARSCoV-2. The major problem of COVID-19 infections is the ARDS, followed by respiratory failure, organ
failure, and even death with multiple organ dysfunction, including cardiovascular collapse. Moreover, it
affects the old age population with co-morbid conditions. The deficiency of diet, micronutrients, and vitamins also plays a key role in diminishing the immune power, and increases the rate of viral infectivity.
The possible reasons and management methods are discussed in this review. The management methods
enhance the host immune system via multi-functional and multi-targeted actions. The global rate of
COVID-19 outbreak necessitates the need to develop newer medicines. The drug discovery process is
based on the exposure of viral proteins, genome sequence, replication mechanisms, pathophysiological
mechanisms, and host cell components (as a target) reactions. This article highlights the overview of
coronavirus components, the replications process, and possible targets for the management of coronavirus
infections. It may lead to the rapid development of newer medicines for the treatment of coronavirus infections.