bluuebunny/crossref_metadata_2025 huggingface dataset:
Perspectives on the implications of carrying putative pathogenic variants in the medulloblastoma predisposition genes ELP1 and GPR161
Authors: Smith Miriam J , Woodward Emma R , Evans D Gareth
Published: November 2022

Recent genetic sequencing studies in large series’ of predominantly childhood medulloblastoma have implicated loss-of-function (LoF), predominantly truncating, variants in the ELP1 and GPR161 genes in causation of the MBSHH subtype specifically. The latter association, along with a report of an index case with some features of Gorlin syndrome (GS) has led to speculation that GPR161 may also cause GS. We show that these genes are associated with relatively low absolute risks of medulloblastoma from extrapolating lifetime risks in the general population and odds ratios from the population database gnomAD. The projected risks are around 1 in 270-430 for ELP1 and 1 in 1600-2500 for GPR161. These risks do not suggest the need for MRI screening in infants with ELP1 or GPR161 variants as this is not currently recommended for PTCH1 where the risks are equivalent or higher. We also screened 27 PTCH1/SUFU pathogenic variant-negative patients with GS for GPR161 and found no suspicious variants. Given the frequencies of 0.0962% for GPR161 and 0.0687% for ELP1, neither of these genes can be a cause of GS.
A Novel Approach for Software Defect Prediction using CNN and GRU Based on SMOTE Tomek Method
Authors: Khleel Nasraldeen , Nehéz Károly
Published: November 2022

Software defect prediction (SDP) plays an important role in enhancing the quality of software projects and reducing maintenance-based risks through the ability to detect defective software components. SDP refers to the methods that use historical defect data to build the relationship between software metrics and software defects. Several prediction models such as machine learning (ML), deep learning (DL) have been developed and adopted to recognize defect in software modules and many methodologies and frameworks have been presented. One of the most difficult problems that these models face in binary classification is the classes imbalance. When the distribution of classes is unbalanced, the accuracy may be high, but the model cannot recognize data instances in the minority class, this will lead to weak classifications. So far, few research have been done in the previous studies that address the problem of class imbalance in SDP. To address the class imbalance problem, we propose a novel SDP approach based on convolutional neural network (CNN) and gated recurrent unit (GRU) combined with synthetic minority oversampling technique plus Tomek link (SMOTE Tomek). To establish the efficiency of the proposed models, the experiments have been conducted on benchmark datasets which obtained from the PROMISE repository and the experimental results have been compared and evaluated in terms of accuracy, precision, recall, f-measure, the area under the ROC curve (AUC), the area under the precision-recall curve (AUCPR), mean square error (MSE). The average accuracy of the proposed models on the original datasets were 89% for CNN and 87% for GRU, while the average accuracy of the proposed models on the balanced datasets were 94% for CNN and 92% for GRU. The results showed that the proposed models on the balanced datasets improves the average accuracy by 5% for both models compared to original datasets. This indicates the positive effects of combining ML techniques with data balancing methods on the performance of defect prediction regarding datasets with imbalanced class distributions.
Analytical solution to the steady Navier-Stokes equation for a compressible fluid entrained by a rotating disk of finite radius in the area of boundary layer by means tunnel mathematics (subsonic and hypersonic cases).
Authors: G. Shvydkyi O.
Published: November 2022

At present time the theory of turbulent incompressible and compressible fluids is in whole semi-empirical, and has some extent of untransparency due to complexity of Navier-Stokes equations. Applying of tunnel mathematics allow us to reduce a number of unknown quantities by three at once what is very useful for a hypersonic flow of fluid since the state equation of gas become needless. Solutions obtained by means tunnel mathematics is applicable only in some vicinity of certain z-coordinate but it is very suitable for the area of boundary layer.
This paper is a continuation of tunnel mathematics applying to the problems of fluids entrained by a rotating disk of finite radius in the area of boundary layer. Now we proceed to compressible fluid. The case of incompressible fluid was considered earlier [9]. The principles of application are similar. Especially this concerns to non-slip boundary conditions imposed on a disk surface which remain unchanged. The motion of compressible fluid entrained by a rotating disk of finite radius exhibits complex interaction pattern of main stream and compression and rarefaction simple cylindrical waves propagating in fluid. If the velocity of main stream is subsonic then these simple cylindrical waves propagate in both direction of cylindrical polar r-coordinate, if that is supersonic then they travel only in direction of increasing of r-coordinate. If the velocity of main stream becomes supersonic then forming of a shock wave is possible. Moreover, when the velocity of main stream become comparable with that of sound the considerable heating of the gas and the disk occurs and we then should to deal with the equations of motion in the boundary layer together with the equation of heat transfer in it [1].
We suppose that Reynolds number is large enough and the viscosity has in important effect on the motion of fluid only in a very small region near the disk (Prandtl`s boundary layer). We also suppose that in the subsonic case the fluid and the disk have at beginning approximately the same temperatures and the energy dissipation occurs only by means internal friction.
HYPERTEXTUALITY AS A DISTINCTIVE FEATURE OF MODERN ENGLISH DICTIONARY INTERNET DISCOURSE
Authors: Chernysh Oksana
Published: November 2022

The scientific article deals with analyzing hypertextuality as a characteristic featureof the modern English dictionary Internet discourse. It highlights the prerequisites of hypertextuality and its importance in modern linguistics, in particular in the aspect of e-dictionary compilation. It determines the idea of the concept and outlines the approaches to its interpretation. Moreover, the research analysis theapproaches to define hypertext. In addition, it focuses on its distinctive characteristics. They include non-hierarchy, cohesive closedness, nonlinearity, potentiality, multimedia, multilinearity, openness, heterogeneity, and multiplicity of virtual structures. The article considers the types of hypertext systems (bibliographic, analytical, reference, experimental). It establishes that such advantages of hypertext as adaptability, the possibility of fast publicity and distribution, and economy determine the superiority of virtual text over the traditional one. The investigation studies the typology of hypertexts (dynamic, statistical, hierarchical, grid). It outlines the importance of hypertextuality in electronic dictionary compilation. It emphasizes the significance of hypertext technologies to systematize information effectively based on solid internal connections, both text, and illustrations, graphics, photographs, drawings, audio, and video, which help readers better understand information. The articleproves that in developing a global structure of relationships between information blocks, it is necessary to consider possible connections both within the electronic dictionary and with external information resources. It characterizes the types of hyperlinks (local, global) and considers their role in a dictionary entry. Finally, it proves that an electronic dictionary is essentially hypertext. After all, the hypertext system of electronic dictionaries allows effective presentation of material in a combination of text, tables, graphs, diagrams, illustrations, animations, audio, and video materials, as well as the use of information modeling and navigation. The prospect of further scientific research lies in the detailed analysis of dictionary entry distinctive features.
PROBLEMS OF MODERN TRANSFORMATION OF THE THEORY OF LITERATURE AS AN ACADEMIC DISCIPLINE
Authors: Klochek Hryhorii
Published: November 2022

n the context of the intensive growth of an array of scientific information, the need for optimization of the content of learning matter according to Jose Ortega y Gasset’s “principle of economy in education” at tertiary level is emphasized. Higher school suffers from excessive extra disciplines, and the process of their integration, which should be built on the principle of perceiving essential competencies for each discipline, is not sufficiently active. The main purpose of the research is to substantiate the internal transformation of thetheory of literatureas the core subject for higher literary education on the principle of “economy in education”. The renewal of the theory of literature as a subject on the principle of economy in high education is directly dependent on the process of adding it to a separate main section of the systematic theory of literature. It improves the basic competence of the future literature teachers –the knowledge and skills necessary for the analysis and interpretation of an artistic text. The systemological theory of a literary work is endowed with an extremely important ability to integrate in itself all the developments in the field of academic literary studies, that relate to the knowledge of the phenomenon of artistry. And this ability to integrate is an extremely important factor that determines the effectiveness of the usage of the principle of economy in literary education
THE SAND-FIELD-EARTHPARADIGM IN STEPAN PROTSIUK'S NOVEL“THE FINGERS THROUGHTHE SAND”
Authors: Marchenko Tetiana
Published: November 2022

The article considers the issues of the language paradigm sand-field-land in Stepan Protsiuk's novel “The Fingers Through the Sand”. The main purpose of the study is through linguistic analysis to show the influence of individual tokens on the disclosure of the content of a literary work, the characteristics of the heroes, the formation of the general perception of the text, philosophical content, etc. Using etymological analysis of the structural units of the paradigm, outline individual semantic groups –the indicators of context. The notion of “paradigm” as a linguistic-philosophical formation is highlighted, which in this study became decisive for the understanding and analysis of the literary text, and also became a key notion of combining several lexical-semantic groups.In addition, thesurrounding paradigmatic elements (language models) mentioned in the study performed auxiliary and reinforcing functions, which provided a fuller perception of the text of the novel.A thorough textual analysis of these lexical units made it possible to identify several semantic groups that became decisive in the novel. Etymological analysis of each element of the paradigm became key, which determined the integrity of the whole system. There are long-standing semantic connections in the sand-field-land model, which led to their unification into a separate paradigm. Each conclusion is illustrated by an example from the novel.The result of the study was the delineation of language models that the author used to express the content of both philosophical and literary. Such models help to understand the main idea of the work, to convey accurately and concisely the author's opinion.It was the linguistic analysis of the text that provided a deep understanding of the problems of the novel, the use of vocabulary of ancient origin was a successful stylistic device, skilfully used by the author.
ENHANCEMENT OF MARINE CORROSION AND TRIBOCORROSION RESISTANCE OF OFFSHORE MOORING CHAIN STEEL BY ALUMINIZING PROCESS
Authors: Alkan Sabri
Published: November 2022

The safety of mooring systems and accessories is one of the most critical issues in the structural integrity of floating oil/gas and renewable offshore structures. Mooring chains and accessories operate under dynamic conditions in harsh marine environments. They are subject to severe wear and corrosion between their links due to relative movement from waves, wind, and ocean currents that disrupt structural integrity. To cope with this problem, the pack-aluminizing process was applied on the R4 grade offshore mooring chain steel for 2 h at 850 °C to improve corrosion and wear-corrosion (tribocorrosion) resistance in 3.5% NaCl. The tribocorrosion behaviour of untreated and aluminized samples was investigated by a tribo-electrochemical setup that simultaneously allows for collecting the wear and corrosion data. Potentiodynamic and potentiostatic corrosion and tribocorrosion tests were carried out to understand corrosion kinetics. Optical, SEM, XRD and EDS analyses were performed to characterize the aluminide layer and surface morphologies before and after tribocorrosion investigations. In polarization scans under corrosion and tribocorrosion conditions, the current showed a significant activation stretch of several orders of magnitude, with minor potential changes in the anodic region. Due to the galvanic effects of sliding under natural electrochemical conditions, the untreated R4 alloy exhibited cathodic properties in the wear track, while the aluminium coating was out of the wear track due to its oxide-forming ability. At the cathodic potential, two hard Al2O3 materials under pure mechanical effects and third bodies emerging from cracks on the coating surface increase the friction coefficient (COF), while the oxide product film, which has a lubricating ability and pits which reduces the contact area, caused a decrease in COF at the high anodic potential. The study revealed that while the aluminide layer improved the corrosion and tribological character of R4 alloy, material loss from wear track increased due to micro fractures and cracks in the coating layer during sliding tribocorrosion conditions.
Culture Aspect of Javanese and Chinese Acculturation In Lasem
Authors: Basiroen Vera Jenny , Manuaba Ida Bagus Kerthyayana
Published: November 2022

The research aimed to document the history and culture of Lasem, thereby increasing the knowledge base of cultural history in Indonesia. The interaction between Javanese and Chinese in Lasem experienced three phases: the Zheng He period, the Yellow War period, and the 20th century. Relations between Javanese and Chinese had been peaceful and harmonious until now. In the middle of the 18th century, there were incidents of violence against ethnic Chinese carried out by the company. This event led to the strengthening of relations between Java and China. The collaboration between the two became a momentous event that the Lasem residents could not forget. Harmonious life in Lasem was not only seen in batik. Still, it was also seen in the daily life of the Lasem people, such as togetherness in celebrations, religious rituals, or family rituals. There were three research questions: What was the process of acculturation in Lasem? What cultural elements underwent acculturation, and what were the results of acculturation? The research applied a qualitative narrative method by collecting data from the literature, interviewing cultural observers, observing, and analyzing. The research discussed the results of acculturation in Lasem in several forms of culture, namely in language, architecture, batik, and rituals. The results of the research indicate that harmonious inter-ethnic life in Lasem can embrace all Indonesian citizens in revive the spirit harmoniously.
Registration of Geographic Indications of Alcohol Beverages from Abroad in Indonesia
Authors: Nurasiah Nurasiah , Kusnafizal Teuku , Azis Abdul , Nur Amalina Sharfina , Zulfan Zulfan , Sakdiyah Sakdiyah
Published: November 2022

The research aimed to describe why alcoholic beverage products belonging to foreign countries can be registered in Indonesia's Geographical Indications (GI) protection regime. It outlined the legal implications of protecting foreign alcoholic beverage products in the GI protection regime. The research was normative legal research which was strengthened by interviews. The research shows that the protection of foreign alcoholic beverages in the national GI regime is caused by two factors, including disharmony between law 20/2016 and Permenkumham number 12 the Year 2019, and the GI regime gives each member country the freedom to apply the GI provisions in accordance with their national interests. Furthermore, the implications for the protection of foreign alcoholic beverage products in the GI protection regime in Indonesia, besides showing the inconsistency of GI protection arrangements for alcoholic beverage products, also injure the sense of justice for traditional alcoholic beverage activists who want their traditional knowledge products to be protected through the GI regime.
PRODUÇÃO DE BOLETINS INFORMATIVOS COMO ESTRATÉGIA DE VIGILÂNCIA EPIDEMIOLÓGICA NO CONTEXTO DA PANDEMIA DE COVID-19
Authors: Da Costa Rosa Ivone , Santos Freire de Paula Isabela Cristina , Gomes Pereira Lopes Guilherme , Foggiatto Sinhoca Kelly , Gomes de Oliveira Bellani William Augusto , Gomes Ditterich Rafael
Published: November 2022

Introdução: O conteúdo de um boletim epidemiológico visa à detecção e o conhecimento da enfermidade em questão, permitindo prevenir e controlar determinantes e condicionantes de saúde em cada indivíduo. Objetivo: O objetivo do trabalho é relatar a experiência dos bolsistas do projeto de extensão “ações extensionistas de prevenção, cuidado e combate à pandemia do novo coronavírus”, na elaboração do “Boletim Informativo - COVID-19 da 2ª Regional de Saúde”. Metodologia: O boletim apresenta a evolução semanal dos casos de COVID-19 nos 29 municípios da 2a Regional de Saúde do Paraná. Sua elaboração é realizada a partir de dados encaminhados pelos municípios para a vigilância em saúde da 2a Regional de saúde, seguindo a semana epidemiológica. Resultados: A divulgação ocorre por plataformas digitais e é disponibilizado diretamente para os gestores dos municípios. Os bolsistas atuam na produção do boletim, auxiliando sua atualização semanal.  Conclusões: O boletim epidemiológico é um meio efetivo, seguro e rápido de compartilhamento de informações confiáveis para a população em geral e profissionais de saúde. Contribuindo assim, para o enfrentamento da COVID-19.

Palavras-Chave: Infecções por Coronavirus; Serviços de Vigilância Epidemiológica; Monitoramento Epidemiológico.
MARCADORES DO CONSUMO DE ALIMENTOS ULTRAPROCESSADOS EM CRIANÇAS
Authors: Lucena Naiara , Silva Raiara , Bezerra Mariana , Oliveira Genykléa
Published: November 2022

RESUMO

Introdução: Os dois primeiros anos de vida da criança são de grande importância para a formação dos seus hábitos alimentares, predispondo ao desenvolvimento adequado e favorecendo a saúde a curto e longo prazo. Assim, a introdução de uma alimentação complementar adequada constitui-se como um fator fundamental para favorecer as escolhas alimentares apropriadas no futuro. Objetivo: Analisar os marcadores do consumo de alimentos ultraprocessados do Sistema de Vigilância Alimentar e Nutricional em crianças de 06 a 24 meses no Brasil entre 2015 e 2018. Metodologia: Trata-se de um estudo ecológico de caráter descritivo. A coleta de dados foi proveniente de base de dados secundários do Sistema de Vigilância Alimentar e Nutricional – SISVAN-Web, cuja população-alvo foram crianças com faixa etária entre 06 e 24 meses de idade, abrangendo ambos os sexos e sem distinção de raça/cor. A análise de dados ocorreu através de estatística descritiva. Resultados: A região Sul se destacou com as maiores médias de consumo de biscoito recheado, doces ou guloseimas (34%), macarrão instantâneo, salgadinhos de pacote ou biscoitos salgados (21,2%) e hambúrguer e/ou embutidos (15,2%). A região Norte apresentou a maior média de consumo de bebidas adoçadas (39,2%) e a região Nordeste se destacou com as menores médias de consumo desses alimentos. No Brasil, notou-se um consumo maior que 50% de alimentos ultraprocessados em quase todos os anos analisados no presente estudo e em quase todas as regiões e a classe mais consumida foi bebidas adoçadas. Conclusões: A partir dos resultados do presente estudo, conclui-se que há uma introdução precoce de alimentos ultraprocessados na alimentação de crianças na faixa etária estudada.

Palavras-Chave: Crianças; Consumo de alimentos; Hábitos Alimentares.
AS COMPREENSÕES DA POPULAÇÃO MASCULINA ACERCA DO CUIDADO EM SAÚDE
Authors: Maria da Rocha Joelma , Lopes de França Lima Patrícia , Tatiane Alves da Silva Maria , Ferreira de Lima Darlindo
Published: November 2022

Introdução: O cuidado em saúde pode ser identificado como estratégia integral, sendo a sua produção elencada como uma prioridade para a população masculina, uma vez que, esse público apresenta singularidades e especificidades. Objetivo: Analisar as compreensões da população masculina, atendida no âmbito da Atenção Primária à Saúde, acerca do cuidado em saúde no município de Glória do Goitá - PE. Metodologia: Trata-se de um estudo do tipo descritivo-exploratório, com uma abordagem qualitativa. O cenário do estudo foi a Atenção Primária à Saúde do município de Glória do Goitá – PE, durante os meses de junho a agosto de 2019, participando seis usuários do sexo masculino. A coleta foi realizada por meio de entrevistas semidirigidas, sendo utilizada a análise de conteúdo proposta por Bardin. O estudo só foi realizado posteriormente a aprovação do Comitê de Ética e Pesquisa. Resultados: Os achados foram elencados em duas categorias: a percepção do cuidado em saúde, onde a população do sexo masculino identificou este cuidado como práticas de promoção e prevenção, no entanto, ainda apresentou a influência do modelo biomédico; e a percepção do sistema de saúde, onde foi identificado que o sistema de saúde brasileiro ainda apresenta barreiras de acesso que precisam ser superadas. Conclusões: O desenvolvimento e aprimoramento de políticas públicas voltadas para a população do sexo masculino se caracterizam como uma das principais estratégias para a ampliação do acesso aos serviços de saúde. Além disso, a Atenção Primária à Saúde se caracteriza como nível estratégico para repensar e reconstruir o modelo de Atenção à Saúde, assim como, para colaborar no processo de empoderamento da população masculina.
El Diablo: ¿Mito o realidad?
Authors: Hameau José Antonio
Published: November 2022

Este artículo busca abordar la problemática respecto a la figura del diablo, es decir, si al referirnos a él hablamos simplemente de un mito o si realmente nos referimos a un ser espiritual con existencia real. Nuestro recorrido comienza en la Sagrada Escritura, pasando por el Magisterio Conciliar, para finalmente presentar la principal corriente teológica que niega la existencia del diablo.
Self-Assembly of Short Amphiphilic Peptides and Their Biomedical Applications
Authors: Chen Cuixia , Zhao Yurong , Le Xiaosong , Gao Tianwen , Wang Li , Wei Feng
Published: November 2022

A series of functional biomaterials with different sizes and morphologies can be constructed through
self-assembly, among which amphiphilic peptide-based materials have received intense attention. One main
possible reason is that the short amphiphilic peptides can facilitate the formation of versatile materials and promote
their further applications in different fields. Another reason is that the simple structure of amphiphilic peptides
can help establish the structure-function relationship. This review highlights the recent advances in the
self-assembly of two typical peptide species, surfactant-like peptides (SLPs) and peptides amphiphiles (PAs).
These peptides can self-assemble into diverse nanostructures. The formation of these different nanostructures resulted
from the delicate balance of varied non-covalent interactions. This review embraced each non-covalent
interaction and then listed the typical routes for regulating these non-covalent interactions, then realized the
morphologies modulation of the self-assemblies. Finally, their applications in some biomedical fields, such as
the stabilization of membrane proteins, templating for nanofabrication and biomineralization, acting as the
antibacterial and antitumor agents, hemostasis, and synthesis of melanin have been summarized. Further advances
in the self-assembly of SLPs and PAs may focus on the design of functional materials with targeted
properties and exploring their improved properties.
The Role of VD/VDR Signaling Pathway in Autoimmune Skin Diseases
Authors: Zeng Yilan , Yang Shengbo , Liu Yuanhong , Tang Ziting , Zong Xiule , Li Xuemei , Wang Dan
Published: November 2022

Background:

Immune-related cutaneous diseases are a series of disorders, such as alopecia
areata, psoriasis, atopic dermatitis, systemic lupus erythematosus and autoimmune bullous dermatoses.
Vitamin D is a fat-soluble vitamin, which is known for its classical pleiotropic effect. Recent
studies have found that vitamin D, after catalyzed into its biologically active form [1,25(OH) 2D],
correlated with its receptor, vitamin D receptor, plays a vital role in multiple pathophysiological processes,
including immune-related dermatoses. This review mainly summarizes evidence on the role of
vitamin D/vitamin D receptor in immune-related cutaneous diseases and the potential therapeutic targets
for skin disorders.

Methods:

We have carried out a comprehensive literature search in PubMed and Google Scholar databases
using keywords like “vitamin D”, “vitamin D receptor”, “immune”, “psoriasis”, “atopic dermatitis”,
“skin”, “systemic lupus erythematosus”, “alopecia areata” and “autoimmune bullous dermatoses”.
Only articles related to the topic were included in this review. Conference, patent, graduation
thesis and articles without available full text were excluded.

Results:

Vitamin D/vitamin D receptor is critical for skin in regulating the proliferation and differentiation
of keratinocytes, keeping the integrity of the skin barrier as well as maintaining the homeostasis
of the “skin's immune system”. Vitamin D deficiency/vitamin D receptor mutations are potential
risk factors for some immune-related cutaneous diseases.

Conclusion:

Vitamin D is a pleiotropic hormone, which is important in the homeostasis of human
body. Many studies have revealed vitamin D deficiency in several skin diseases. Thus, vitamin D supplementation
may be a useful therapeutic option for immune-related skin diseases.
Surface Functionalization of Extracellular Vesicles with Nucleic Acids
towards Biomedical Applications
Authors: Xu Rui , Tang Qian , Ying Yiwen , Han Da
Published: November 2022

Extracellular vesicles (EVs) are lipid bilayer-delimited particles secreted by cells and are regarded as a promising class of nanocarriers for biomedical applications such as disease diagnosis, drug delivery, and immunomodulation, as they carry biomarkers from the parental cells and can al-so transport diverse cargo molecules between cells. Surface functionalization of EVs can help ob-tain detectable signals for their quantification and also add various properties for EV-based deliv-ery. Aptamers are specific oligonucleotides selected as artificial antibodies that could serve as ‘cruise missiles’ to target EVs for diagnosis or as navigators to bring EVs to lesions for treatment. DNA logic devices or nanostructures based on aptamers are intelligent designs to endow EVs with additional features, such as multi-target disease diagnosis in one pot and promoting retention of EVs in complex disease microenvironments. Oligonucleotides or DNA nanostructures composed of nat-ural nucleic acids can be easily degraded by nuclease in the biological sample which limits their ap-plications. Thus, the oligonucleotides composed of artificial nucleic acids which are synthesized against degradation would be a potential strategy to improve their stability in vitro or in vivo. Here-in, we review the methods for surface functionalization of EVs by nucleic acids and highlight their applications in quantification and targeted delivery towards disease diagnosis and therapy.
Zingiber officinale, Phyllanthus emblica, Cinnamomum verum, and Curcuma longa to Prevent Type 2 Diabetes: An Integrative Review
Authors: Wijewardhana Uththara , Jayasinghe Madhura , Wijesekara Isuru , Ranaweera K.K.D.S.
Published: November 2022

Diabetes mellitus has become a global pandemic progressively rising and affecting almost every household in all world regions. Diet is a significant root cause of type II diabetes; thus, the significance of dietary interventions in preventing and managing the disease cannot be neglected. Lowering the glycemic impact of diet is an alternative way of managing type II diabetes while improving insulin sensitivity. Medicinal plants are rich in therapeutic phytochemicals which possess hypoglycemic properties. Therefore, it could be speculated that the glycemic impact of diet can be reduced by adding hypoglycemic plant ingredients without altering the sensory properties of food. The main aim of this review is to discuss dietary interventions to manage diabetes and summarize available information on the hypoglycemic properties of four prime herbs of Asian origin. This article collected, tabulated, and summarized groundbreaking reveals from promising studies. This integrative review provides information on the hypoglycemic properties of ginger, Indian gooseberry, cinnamon, and turmeric and discusses the possibility of those herbs reducing the glycemic impact of a diet once incorporated. Further research should be done regarding the incorporation of these herbs successfully into a regular diet.
Analytical Methods for the Determination of Atypical Antipsychotic Drugs -
An Update
Authors: Suvarna Vasanti , Raut Adishri
Published: November 2022

Atypical antipsychotics have gained incredible attention over the last decade and are widely
prescribed for short-term and chronic treatment of various psychopathological diseases, including schizophrenia,
mania, delirium, bipolar disorder, depression, autism spectrum disorder, and affective disorders.
Due to their better clinical profile and therapeutic benefits, atypical antipsychotics have become a better
choice for psychopathological treatment and management. However, their usage is associated with peripheral
side effects and metabolic diseases impacting the quality of life of patients. In the sight of these
circumstances, strategic development of analytical methods to isolate atypical antipsychotics from a variety
of formulations and biological samples and identify and quantify them with great sensitivity and
accuracy is of great importance in clinical and forensic settings. In the present review, we have summarized
and discussed various analytical methods reported in the literature over the last decade in various
formulations and biological samples, highlighting analytical trends to the analysts in the field of atypical
antipsychotics.
Mining Ports in Perception and Sustainability
Authors: Delly Jenny , Mizuno Kosuke , Gozan Misri , Soesilo Tri Edhi Budhi
Published: November 2022

Background:

Mining port operation is very complex accompanied by sources of pollution of various kinds, impact and characteristics of different pollution so that the analysis of sea water pollution due to mining port activities have become indispensable.

Aim:

The purpose of this study was to measure the perception of the people living around the mining port about mining port activities and the perceived impact (pollution, health, economy, security and comfort) and to compare it with the results of measuring sea water quality.

Methods:

This study examines public perceptions of the influence of the existence of a mining port on seawater pollution, health, economy, security and perceived comfort and compares it with the results of inspections of heavy metal content in seawater in residential areas very close to mining ports. The method used is linear regression with T test, sampling in three different places, examining the properties of heavy metals in seawater.

Result:

There is a difference in behavior or response between the people of Pomala and Morowali in giving approval or perception of the existence and impact of the mining port. Positive statements from respondents regarding pollution related to the existence of mining ports 63.2%. Pollution that occurs due to the presence of the port creates psychological anxiety that will have an impact on public health and disrupt activities around the port (65.8%). The content of heavy metals (mercury, cadmium, lead and zinc) in seawater in residential areas exceeds the quality standards set by the government.

Conclusion:

The quality of sea water around community settlements located closest to the mining port has decreased, this is due to the activities of mining ports, mining and people living in the area.
Characteristics and Patterns of Commodities Transport Drivers on the Pantura Highway, Java Island with Clustering Analysis
Authors: Arifin Muhammad Zainul , Yulfadli Zony , Nafis Moch. Abdillah
Published: November 2022

Introduction:

The movement patterns of commodities transport drivers are useful in determining the optimization policy of other vehicle paths. One of the critical parameters in determining the optimal path represents the determination of a dense transportation route on the Pantura Highway. Pantura obtains saturation due to the vehicle loads. This saturation is caused by increasing fuel subsidies, increasing air and noise pollution, congestion, and accident costs.

Method:

This study aims to analyze the patterns of commodities transportation on the Pantura Highway of Java, which can be diverted to other preferred modes of transportation. The objects of this study are container trucks, which represent a mode of commodities transportation. The modes of transportation could be diverted to several alternatives, such as container ships and trains to progressively reduce road saturation.

Result:

As a consequence, the saturation could be minimized. Optimizing the patterns of movement of commodities transportation could use the k-prototypes algorithm to classify freight transportation on Pantura based on the similarity of the characteristics in terms of ten parameters.

Conclusion:

Based on the optimization results, there were three clustering, including the transportation of commodities with a distance of less than 200 km where it was difficult to transfer to other modes of transportation, commodities transportation with a distance of 200-600 km where it could be considered for policies related to the transportation of commodities that were difficult to rot, and the commodities transportation over a distance of more than 600 km where it could a bit also considered for perishable commodities.
Projecting the Impact of New Public Transport Networks on Mode Shift
Authors: Ryall Richard , Sullivan-Kilgour Matthew
Published: November 2022

Background:

Although many studies have identified the key factors influencing travel mode, they have typically centred around survey data, which has several limitations. In this research, actual transport data (GPS) has been provided by Google Environment Insights Explorer (EIE) for 169 municipalities in Australia across 2018 and 2019.

Objective:

A key outcome of this paper is to project the independent impact of new public transport networks (rail, bus and tram) on mode shift away from vehicles for each municipality and estimate the total distance travelled.

Methods:

This study uses a combination of linear regression and logit transformations to predict the proportion of automobile transport relative to all other transport modes.

Results:

The results suggest that South Australia would benefit from a metropolitan northeast rail line, New South Wales would benefit from a metropolitan southwest tram line, and Victoria would benefit from a metropolitan southeast bus service.

Conclusion:

Although the analysis is somewhat crude, it utilises open-access data and thus could be easily replicated for any country globally, which could be greatly beneficial, especially for countries with low socio-demographic backgrounds.
A Rare PTPN11 Mutation in a Patient with Juvenile Myelomonocytic
Leukemia: A Case Report
Authors: Rezaei Nima , Khanmohammadi Shaghayegh , Zoghi Samaneh , Rayzan Elham , Shahkarami Sepideh , Jimenez Heredia Raul , Frohne Alexandra , Seyedpour Simin , Boztug Kaan
Published: November 2022

Background:

Juvenile myelomonocytic leukemia (JMML) is a rare childhood disease
characterized by hepatosplenomegaly, monocytosis, anemia, increased white blood cell
count, thrombocytopenia, skin infiltration, and elevated fetal hemoglobin. Mutation in specific
genes, including KRAS, NRAS, PTPN11, and NF1, can lead to the development of JMML.

Case Presentation:

A two-year-old boy with a history of inguinal abscess at the age of 12
months and surgery due to infectious lymphadenitis was referred to the hospital. His parents
also reported a history of oral candidiasis, recurrent otitis media, and lymphadenopathy in
the patient. The physical examination showed splenomegaly, macular rash, lymphadenopathy
in the neck region, and rashes in the inguinal region and on the hands and feet. Laboratory
and flow cytometry data showed lymphocytosis, low hemoglobin, thrombocytopenia,
monocytosis, eosinophilia, and a shift to the left in the peripheral blood. The bone marrow
aspiration showed a cellular marrow with myeloid hyperplasia. Whole-exome sequencing
revealed a rare heterozygous ENST00000351677.2:c.1508G>C, p.Gly503Ala variant in
PTPN11. The patient was diagnosed with JMML but, unfortunately, passed away.

Conclusion:

We report a rare heterozygous mutation in the PTPN11 gene in a two-year-old
boy diagnosed with JMML. This uncommon mutation should be considered in the mutational
screening protocol of JMML. Management of JMML with RAS pathway targeted
therapy may also have promising results and needs further investigations.
Passive Detection Method Based on Phase-frequency Conversion
Authors: Yu Tao
Published: November 2022

On the basis of the existing research, the passive detection method based
on Doppler shift is further converted to the passive detection method based on the
non-fuzzy phase difference measurement. Based on the phase-frequency conversion,
the passive detection methods of two different models, that is a method of detecting
a fixed target by a moving station, are presented in this chapter for improving the
ranging accuracy. The first one studies the single station passive ranging method
which takes the motion trajectory as the baseline of the detection array. The second
one studies the ranging method which transforms the single base array into the virtual
double base array by the relation between frequency shift and path difference. The
research in this chapter provides some reference information on how to improve the
performance of single or dual station passive positioning. This chapter proves that the
accuracy of the phase difference ranging is better than that of the Doppler frequency
difference. The significance of phase-frequency conversion lies in the first use of
Doppler positioning method to give the location method which is difficult to obtain
by using the phase difference equation, and then through phase-frequency conversion,
further obtain better measurement accuracy than Doppler frequency difference
measurement.
Passive Positioning Method, Based on Combined Measurement, of Fixed Two Stations
Authors: Yu Tao
Published: November 2022

In this chapter, two passive detection methods of long baseline fixed
bistatic are presented based on the short baseline composite array. The first method is
a two-station phase differential direction method with a long baseline. Direction
finding and ranging are realized at each station using short baseline phase difference
measurement technology. The path difference between two stations is obtained by
using the radial distance measured by the two stations, respectively. On this basis,
using the midpoint direction finding solution of a single basis, the phase differential
direction finding formula of two stations with long baseline can be given directly. The
second method is a method that uses a similar recursive method to implement the long
baseline multi-station passive detection based on phase difference measurement
without ambiguity. The similar recursion method is a method to obtain the long base
path difference by using the similarity of triangles according to the path difference of
short base line array, and then construct the virtual three-station linear array, from
which the location calculation can be carried out directly by using the ranging formula
of the double base array. It may be a feasible method to construct a long baseline
multi-station phase difference detection system using a short baseline composite
array.
Cutting Edge Techniques of Adaptive Machine Learning for Image Processing and Computer Vision
Authors: Sasikumar P. , Saravanan T.
Published: November 2022

Computers, systems, applications, and technology, in general, are becoming
more commonly used, advanced, scalable, and thus effective in modern times. Because
of its widespread use, it undergoes various advancements on a regular basis. A fastpaced
life is also associated with modern times. This way of life necessitates that our
systems behave similarly. Adaptive Machine Learning (AML) can do things that
conventional machine learning cannot. It will easily adjust to new information and
determine the significance of that information. Adaptive machine learning uses a
variety of data collection, grouping, and analysis methods due to its single-channeled
structure. It gathers, analyses, and learns from the information. That is why it is
adaptive: as long as new data is presented, the system can learn and update. This
single-channeled device acts on any piece of input it receives in order to improve
potential forecasts and outcomes. Furthermore, since the entire process happens in realtime,
it can immediately adjust to new actions. High efficiency and impeccably precise
accuracy are two of AML's main advantages. The system does not become outdated or
redundant because it is constantly running in real-time. So, incorporating the three core
concepts of agility, strength, and efficiency better explains AML.

Agility helps systems to respond rapidly and without hesitation. The systems achieve
new levels of proficiency and accuracy as a result of their power, and they can find new
ways to operate flawlessly at lower costs as a result of their performance. This chapter
covers the preparation, regularisation, and structure of deep neural networks such as
convolutional and generative adversarial networks. New information in the
reinforcement learning chapter includes a description of t-SNE, a standard
dimensionality reduction approach, as well as multilayer perceptrons on auto encoders
and the word2vec network. As a consequence, these suggestions will assist readers in
applying what they have learned.
A Review on Covid-19 Pandemic and Role of Multilingual Information Retrieval and Machine Translation for Managing its Effect
Authors: Madankar Mangala , Chandak Manoj
Published: November 2022

Novel Coronavirus disease 2019 (COVID-19) was initiated in the town of
Wuhan, Hubei Province, Central China, and has multiplied speedily to 215 nations to
date. Around 178,837,204 confirmed cases and 3880450 deaths had been reported
across the globe till 23 June 2021. The exceptional outburst of the 2019 novel
coronavirus called COVID-19 around the world has placed numerous governments in a
precarious position. Most of the governments found no solution except imposing
fractional or full lockdown. The laboratories grew rapidly across the globe to test and
confirm the rate of disease spread. The disease had adverse effects on the global
economy. This chapter focuses on using technology on languages such as NLP,
Multilingual Information Retrieval Systems, and Machine Translation to evaluate the
impact of covid-19 outbreaks and manage it. 
Intelligent Personalized E-Learning Platform using Machine Learning Algorithms
Authors: Soui Makram , Srinivasan Karthik , Albesher Abdulaziz
Published: November 2022

Personalized learning is a teaching method that allows the content and
course of online training to be adapted according to the individual profile of learners.
The main task of adaptability is the selection of the most appropriate content for the
student in accordance with his digital footprint. In this work, we build a machine
learning model to recommend the appropriate learning resources according to the
student profile. To this end, we use Sequential forward selection (SFS) as a feature
selection technique with AdaBoost as a classifier. The obtained results prove the
efficiency of the proposed model with 91.33% of accuracy rate and 91.43% of
precision rate.
Missing Value Imputation and Estimation Methods for Arrhythmia Feature Selection Classification Using Machine Learning Algorithms
Authors: Aggarwal Ritu , Kumar Suneet
Published: November 2022

 Electrocardiogram signal analysis is very difficult to classify cardiac
arrhythmia using machine learning methods. The ECG datasets normally come with
multiple missing values. The reason for the missing values is the faults or distortion.
When performing data mining, missing value imputation is the biggest task for data
preprocessing. This problem could arise due to incomplete medical datasets if the
incomplete missing values and cases were removed from the original database. To
produce a good quality dataset for better analyzing the clinical trials, the suitable
missing value imputation method is used. In this paper, we explore the different
machine-learning techniques for the computed missing value in the electrocardiogram
dataset. To estimate the missing imputation values, the collected data contains feature
dimensions with their attributes. The experiments to compute the missing values in the
dataset are carried out by using the four feature selection methods and imputation
methods. The implemented results are shown by combined features using IG
(information gain), GA (genetic algorithm) and the different machine learning
classifiers such as NB (naïve bayes), KNN (K-nearest neighbor), MLP (Multilayer
perception), and RF (Random forest). The GA (genetic algorithm) and IG (information
gain) are the best suitable methods for obtaining the results on lower dimensional
datasets with RMSE (Root mean square error. It efficiently calculates the best results
for missing values. These four classifiers are used to analyze the impact of imputation
methods. The best results for missing rate 10% to 40% are obtained by NB that is
0.657, 0.6541, 0.66, 0.657, and 0.657, as computed by RMSE (Root mean Square
error). It means that error will efficiently reduced by naïve bayes classifier.
Community Centred Approach to Rehabilitation and Reintegration of Returnees
Authors: Aziz Navaid
Published: November 2022

On September 8, 2022, Mr. Navaid Aziz, an Imam and Director at the Islamic Information Society of Calgary, presented Community Centred Approach to Rehabilitation and Reintegration of Returnees at the 2022 CASIS Vancouver Defence and Security Advisory Network (DSAN). The presentation was followed by a question-and-answer period with questions from the audience. The key points discussed were the holistic approach involving community-based rehabilitation to help returnees reintegrate into society and utilizing a religious-based approach in addressing the role that religion had played in radicalization.