bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Violent Response using Feature Extraction Matrix Algorithm of a Time Series Data (FEM)
Authors: Randhawa Princy , Shanthagiri Vijay , Alharbi Hadeel Fahad , Patel Akshet 
Published: June 2022

Abstract
There are several women safety devices in the market today. Women who suffer these atrocities are even denied basic human rights, as set out in the Criminal Code. Women who are not as fit (physically) as men need to be protected from the evils of society. The introduction of actions and procedures for healthier women is not adequate and needs to be well improved. However, these devices are not fool- proof. The crux of this paper is a partial result of a challenging problem faced during design and construction a fool-proof Smart Jacket for women’s safety using fabric sensors. The smart jacket is envisioned for the women to wear on all occasions. An alert message and subjects’ Geo-location is sent to pre-assigned phone number if the subject is faced with violent situation. The jacket consists of fabric Sensors, Accelerometer, Gyroscope and Magnetometer, which are strategically placed to record maximum variations in signal for minimum movement in subject’s body. The primary challenge is not in design or construction of a jacket, but in accurately classifying violent activity from animated activity. Both violent activity and animated activities have commonality in sensor excitation. There are subtle differences which needs to be extracted to train a Machine learning algorithm to learn these patterns. Multivariate Regression Analysis (MRA) is used to highlight explanatory variables that can produce better convergence. With MRA results signifying a high degree of noise in the data, a newer approach, wherein, the ordinality of the data was ignored and cardinality of the data was considered for analysis. Machine learning approaches is then used to build a model using features extracted through MRA. Different machine learning techniques have been applied to classify the violent attack from the different activities such as stationary subject, walking, dancing. This study present that Support vector machine shows the better classification accuracy, computation time as compared to other algorithms.
Security Provisions in Smart Edge Computing Devices using Blockchain and Machine Learning Algorithms: A Novel Approach
Authors: Mishra Kamta Nath , Bhattacharjee Vandana , Saket Shashwat , Mishra Shivam P. 
Published: June 2022

Abstract
The security provisions for capricious data in a dynamic environment must be fathomed by prudence. It is strenuous to manage gigantic data in an ossified environment through one server. The authors have put their concern on the security risk on the susceptible data in a Mobile Edge distributed environment. Thus, edge computing turns out to be an excellent perspective in which the training can be done at the Edge-based environment. The amalgamation of Edge computing and Blockchain in association with machine learning techniques can foster data security, mitigate the risk of exposed data, and further alleviate the risk of a data breach. Thus, the concept of federated learning provides an itinerary for training the shared data. The dataset containing several vulnerable, exposed, recovered, and secured data were collected. And the security of data was precepted under the surveillance of two-factor authentication. This paper discusses the metamorphism of data and security breaches existing in smart edge computing devices. The proposed model consists of the implication of data security using Blockchain and machine learning techniques comprising several classifiers and optimization techniques. They further effectuated the algorithm in an edge computing-based environment by apportioning several batches of data amongst different clients. Subsequently, the authors-maintained privacy for the clients using Blockchain servers. They segregated the data from the clients into batches trained using the federated learning technique. The aftermaths procured in this paper proclaim the implementation of a Blockchain-based training model in the edge-based ecosystem.
Several techniques for introducing memory in iterative processes to solve nonlinear systems
Authors: Cordero Alicia , Garrido Neus , Torregrosa Juan R. , Triguero-Navarro Paula 
Published: June 2022

Abstract
In this paper, we design two parametric classes of iterative methods without memory to solve nonlinear systems, whose convergence order is four and seven, respectively. From their error equations and to increase the convergence order without performing new functional evaluations, memory is introduced in these families of different forms. That allows us to increase from four to seven the convergence order in the first family and from seven to eleven in the second one. We perform some numerical experiments with big size systems for confirming the theoretical results and comparing the proposed methods along other known schemes.
Heavy Metals Assessment of Ecosystem Polluted with Wastewaters and Taxonomic Profiling of Multi-Resistant Bacteria with Potential for Petroleum Hydrocarbon Catabolism in Nitrogen-Limiting Medium
Authors: Oyetibo Ganiyu Oladunjoye , Adebusoye Sunday Adekunle , Ilori Matthew Olusoji , Amund Olukayode Oladipo 
Published: June 2022

Abstract
The coexistence of heavy metals (HMs) and petroleum hydrocarbons (PHs) exacerbates ecotoxicity and impair the drivers of eco-functionalities that stimulate essential nutrients for the productivity of the impacted environment. Profiling the bacteria that stem the ecological impact via HMs sequestration and PHs catabolism with nitrogen fixation is imperative to bioremediation of the polluted sites. The sediment of site that was consistently contaminated with industrial wastewaters was analysed for ecological toxicants and the bacterial strains that combined HMs resistance with PHs catabolism in a nitrogen-limiting system were isolated from the sediment and characterized. The geochemistry of the samples revealed the co-occurrence of the above-benchmark concentrations of HMs with the derivatives of hydrocarbons. Notwithstanding, nickel and mercury (with 5% each of the total metal concentrations in the polluted site) exhibited probable effect concentrations on the biota and thus hazardous to the ecosystem. Approx. 31% of the bacterial community, comprising unclassified Planococcaceae, unclassified Bradyrhizobiaceae, Rhodococcus, and Bacillus species, resisted 160 µmol Hg2+ in the nitrogen-limiting system within 24 h post-inoculation. The bacterial strains adopt volatilization, and sometimes in combination with adsorption/bioaccumulation strategies to sequester Hg2+ toxicity while utilizing PHs as sources of carbon and energy. Efficient metabolism of petroleum biomarkers (> 87%) and Hg2+ sequestration (≥ 75% of 40 µmol Hg2+) displayed by the selected bacterial strains portend the potential applicability of the bacilli for biotechnological restoration of the polluted site.
Analysis of an Unsteady Incompressible Crossflow on a Stationary Circular Cylinder at Reynolds number 3,900 Using Refined Potential Flow Theory
Authors: Amoloye Taofiq O. 
Published: June 2022

Abstract
The motion of a fluid around a circular cylinder presents interesting phenomena including flow separation, wake and turbulence. The physics of these are enshrined in the continuity equation and the Navier-Stokes Equations (NSE). Therefore, their studies are important in mathematics and physics. They also have engineering applications. These studies can either be carried out experimentally, computationally, or theoretically. Theoretical studies of a cylinder flow using classical potential flow theory (CPT) have some gaps when compared to experiments. Attempting to bridge these gaps, this article introduces refined potential flow theory (RPT) and employs it on a stationary circular cylinder incompressible crossflow at Reynolds number 3,900. It leverages experimental observations, physical deductions and some agreements between CPT and experiments in the theoretical development. This results in the incompressible Eulerian Kwasu function which is a quasi-irrotational stream function that satisfies the governing equations and boundary conditions. It captures vorticity, boundary layer, shed wake vortices, three-dimensional effects, and static unsteadiness. The Lagrangian form of the function is exploited for the flow pathlines that are used to incorporate dynamic unsteadiness. A gravity analogy is used to predict the separation, transition, and reattachment points. The analogy introduces the perifocal frame of fluid motion. The forces are obtained in this frame with a change of variable. The drag prediction is within the error bound of measured data. The RPT pressure distribution, separation point and Strouhal number are also within acceptable ranges. Energy spectra analyses of the wake velocity display Kolmogorov’s Five-Thirds law of homogeneous isotropic turbulence.
Recombinant Expression, Purification and PEGylation of DNA Ligases
Authors: Zuma Lindiwe Khumbuzile , Gasa Nothando Lovedale , Mazibuko Xolani , Simelane Mthokozisi Blessing C. , Pillay Priyen , Kwezi Lusisizwe , Tsekoa Tsepo , Pooe Ofentse Jacob 
Published: June 2022

Background:
Reagent proteins such as DNA ligases play a central role in the global
reagents market. DNA ligases are commonly used and are vital in academic and science research
environments. Their major functions include sealing nicks by linking the 5’-phosphorylated end to a
3’-hydroxyl end on the phosphodiester backbone of DNA, utilizing ATP or NADP molecules as an
energy source.

Objective:
The current study sought to investigate the role of PEGylation on the biological activity
of purified recombinant DNA ligases.

Method:
We produced two recombinant DNA ligases (Ligsv081 and LigpET30) using E. coli
expression system and subsequently purified using affinity chromatography. The produced proteins
wereconjugated to site specific PEGylation or non-specific PEGylation. FTIR and UV-VIS
spectroscopy were used to analyze secondary structures of the PEG conjugated DNA ligases.
Differential scanning fluorimetry was employed to assess the protein stability when subjected to
various PEGylation conditions.

Results:
In this study, both recombinant DNA ligases were successfully expressed and purified as
homogenous proteins. Protein PEGylation enhanced ligation activity, increased transformation
efficiency by 2-foldfor plasmid ligations and reduced the formation of protein aggregates.

Conclusion:
Taken together, site-specific PEGylation can potentially be explored to enhance the
biological activity and stability of reagent proteins such as ligases.
Discovery of Polo-like Kinase 4 Inhibitors for the Treatment of Cancer:
A Mini Patent Review
Authors: Xie Zhouling , Liao Chenzhong , Shu Yang , Liu Yajing , Bian Shirong 
Published: June 2022

Abstract:
Polo-like kinase 4 (PLK4), a serine/threonine kinase, is a member of the PLK family.
As a key regulator of the cell cycle, PLK4 controls centrosome duplication and mitosis. Abnormal
PLK4’s function can induce centrosome amplification, leading to tumorigenesis, therefore, PLK4
has been regarded as a promising target for cancer therapy, and PLK4 inhibitors have potentials to
treat multiple cancers and other PLK4-associated human disorders, such as myelodysplastic syndrome.
In addition, PLK4 may function as a DNA-damage sensitizer, therefore improving the
efficacy of chemotherapy. To date, some small-molecule inhibitors with different chemical scaffolds
targeting PLK4 have been reported, among which, CFI-400945 has entered clinical trials for
the treatment of various solid tumors, myeloid leukemia, and myelodysplastic syndrome. In this
review, the structure and biological functions of PLK4 with other homologous PLKs are compared;
the roles of PLK4 in different cancers are reviewed; and PLK4 inhibitors disclosed in patent
or literature are summarized. Used alone or in combination with other anticancer drugs in
preclinical and clinical studies, PLK4 inhibitors have shown significant efficacy in the treatment
of different cancers, demonstrating that PLK4 could be a critical target for cancer diagnosis and
therapy. However, our understanding of PLK4 is still limited, and novel mechanisms of PLK4
should be identified in future studies.
Recent Update on the Alzheimer's Disease Progression, Diagnosis and
Treatment Approaches
Authors: Kesharwani Prashant , Malaiya Akanksha , Singhai Mansha , Singh Manisha , Prajapati Shiv Kumar , Choudhury Hira , Fatima Mahak , Alexander Amit , Dubey Sunil Kumar , Greish Khaled 
Published: June 2022

Abstract:
Alzheimer's disease (AD) is a multifactorial, progressive, neurodegenerative disorder, manifested by the loss of memory and cognitive abilities, behavioral disturbance and progressive impairment of activities of daily life. The sharp rise in the number of AD patients has brought it with-in the top eight health issues in the world. It is associated with the distribution of misfolded aggre-gates of protein within the brain. However, Alois Alzheimer initially mentioned that the reduction in brain volume in AD might be associated with the “deposition of a special substance in the cortex”. The resulting plaque found in extracellular space in the AD brain and hippocampus region, known as senile plaques, is the characteristic feature underlying Alzheimer’s pathology, where the role of amy-loid-β (Aβ) peptide formation from proteolytic cleavage of amyloid precursor protein (APP) by secre-tase enzyme is eminent. Therefore, this review has highlighted the molecular pathophysiology of AD with a variety of available diagnostic and treatment strategies for the management of the disease, with a focus on the advancement toward clinical research to provide new effective and safe tool in the diagnosis, treatment or management of AD.
Structural Perspective of Benzophenones Targeting Tubulin as Anticancer Agents
Authors: Kashaw Sushil Kumar , Chourasia Prerna , Asati Vivek , Agarwal Shivangi , Kashaw Varsha , Das Ratnesh 
Published: June 2022

Abstract:Cancer is the main cause of death and the most significant determinant of life expectancy in every country in the twenty-first century. According to the World Health Organization (WHO) cancer is responsible for major cause of death globally. Benzophenone derivatives are found in a variety of naturally occurring compounds which are known to be pharmacologically efficacious against a variety of diseases, including cancer. Microtubules are thought to be a good target for cancer chemotherapies. Microtubule polymerization and depolymerization are induced by a variety of natural, synthetic, and semisynthetic chemicals having a benzophenone nucleus, affecting tubulin dynamics. Several medications that affect microtubule dynamics are in various stages of clinical trials, including Combretastatins (phase II), Vincristine (clinically approved), Paclitaxel (in clinical usage), and epothilone (phase III), and only a few have been patented. Benzophenone derivatives act by targeting the colchicine binding site of microtubules damage them and cause cell cycle arrest in the G2-M phase. Belonging to this class of molecules, phenstatin, a potent inhibitor of tubulin polymerization, shown strongly inhibited cancer cell growth and arrest the G2/M phase of the cell cycle by targeting the colchicine binding site of microtubules. In the present manuscript we described the benzophenone as tubulin polymerization inhibitors their structure activity relationships (SARs) and molecular docking studies that reveal its binding affinity with the colchicine binding site.
Ethyl Pyruvate Alleviating Inflammatory Response after Diabetic Cerebral
Hemorrhage
Authors: Song Yuejia , Qi Jiping , Wang Yueying , Li Ke , Liu Zhiyi , Sun Yulan , Wang JiaJun , Liu Qi 
Published: June 2022

Objective:
This study’s purpose is to investigate the neuroprotective role of ethyl pyruvate
(EP) in the pathogenesis of diabetic intracerebral hemorrhage.

Methods:
The present study used a mouse model of collagenase-induced intracerebral hemorrhage
(ICH) and streptozotocin-induced diabetes. The C57BL/6 mice were randomly divided into 3
groups: sham operation, diabetic cerebral hemorrhage, and diabetic cerebral hemorrhage with EP.
The EP (80 mg/kg) and EP (50 mg/kg) were injected intraperitoneally one day and one hour before
modeling. The protein expression levels of high mobility group box 1 (HMGB1) and NOD-like
receptors 3 (NLRP3) were detected with western blot. The mRNA levels of HMGB1 and toll-like
receptor 4 (TLR4) were measured by quantitative real-time polymerase chain reaction (PCR). Immunofluorescence
and ELISA were performed to confirm some inflammatory factors.

Results:
Compared to the normal diabetic intracerebral hemorrhage group, the mRNA and protein
expression levels of HMGB1 and TLR4 were downregulated in the EP-affected group with diabetic
cerebral hemorrhage, together with the downregulation of the expression of inflammasomes, including
NLRP3, apoptosis-associated speck-like protein containing CARD (ASC), and caspase 1.

Conclusions:
EP can reduce the inflammatory response after diabetic intracerebral hemorrhage and
may inhibit the activation of inflammasomes by the HMGB1/TLR4 pathway.
Antioxidant Activity and Inhibitory Effect of Curcumin on Some Enzymes
Involved in Several Diseases: Acetylcholinesterase, Butyrylcholinesterase,
α-glucosidase and Tyrosinase
Authors: Sobhi Widad , Bisset Seghira , Bensouici Chawki , khenchouche Abdelhalim 
Published: June 2022

Aim:
This study investigates the potential effect of pure curcumin on the inhibition of different
enzymes involved in several diseases.

Background:
Several chronic diseases such as Alzheimer’s, diabetes, and Parkinson’s are related to oxidative
stress and enzyme activity. Today, various plant origin products are beneficial against several
chronic diseases with secondary metabolites such as phenolic compounds. Curcumin, a polyphenol yellow-
orange pigment in turmeric spices, has a wide range of biological activities with quite a safety.

Objective:
This study was aimed to investigate the antioxidant and inhibitory potential against key enzymes involved in human pathology, namely Alzheimer's disease (Acetylcholinesterase (AChE), and Butyrylcholinesterase (BChE)), diabetes (α-glucosidase) and hyperpigmentation and Parkinson’s diseases (Tyrosinase) of curcumin.

Methods:
1,1-diphenyl-2-picrylhydrazyl free radical (DPPH●) and hydrogen peroxide radicals (H2O2)
assays were used to evaluate the antioxidant capacity of curcumin, and enzyme inhibitory activity was
evaluated using in vitro standard procedures.

Results:
Curcumin exhibited an excellent antioxidant effect with an IC50 value significantly less than
Vit C reference. In enzyme inhibitory activity, curcumin demonstrated excellent inhibitory activity
against AChE, BChE and α-glucosidase. The finding showed that curcumin was significantly less than
the reference galantamine against AChE but more than the references galantamine and acarbose against
BChE and α-glucosidase, respectively. Whereas for anti-tyrosinase activity, curcumin displayed weak
inhibitory activity compared with the standard inhibitor, Kojic acid.

Conclusion:
These results indicated that curcumin showed promising antioxidant, anti-Alzheimer, and
anti-diabetic properties and might be used as potential natural drugs against these diseases.
Relationship Quality and Health Among Black Same-Sex Male Couples: Protocol for a Symbolic Netnography Study
Authors: Lassiter Jonathan Mathias , Dacus Jagadīśa-devaśrī , Johnson Mallory O 
Published: June 2022

Background
Across a range of studies, health scientists have found that being in a romantic relationship can have positive and negative influences on one’s health. A couple’s health outcomes are often influenced by relationship quality—or how they perceive the positive or negative character of their relationship. These findings have important implications for how scientists and interventionists may leverage romantic relationships facilitating good health among couples. However, in general, couples research has not included Black same-sex male couples in large enough numbers to make previous studies’ findings relevant to them. This represents a gap in the scientific literature and, more importantly, a missed opportunity to understand how romantic relationships influence health for a group that must navigate distinct, multilevel health and social inequities.

Objective
This study aims to (1) decode and understand the ways in which Black same-sex male couples express their romantic relationships in virtual contexts via symbolic indicators, (2) determine how Black same-sex male couples describe the quality of their romantic relationships, and (3) explore how Black same-sex male couples make meaning of their relationship quality and its impact on their relational and individual health.

Methods
We will use joint dyadic interviews embedded within a symbolic netnography research design to accomplish our aims. We will use grounded theory to analyze our qualitative data. We will then triangulate our findings to determine how well they answer our research questions.

Results
This study received ethical approval on October 8, 2020 and we began data collection in November 2020. Results are expected to be available no later than December 31, 2022.

Conclusions
This study will apply novel symbolic netnographic qualitative methods to further our understanding of Black same-sex male couples’ romantic relationships and how they contribute to their health. The findings will be used to develop programs to improve Black same-sex male couples’ health in community and virtual settings.

International Registered Report Identifier (IRRID)
DERR1-10.2196/29589