bluuebunny/crossref_metadata_2025 huggingface dataset:
Indivisibilities in Investment and the Role of a Capacity Market
Authors: Stevens Nicolas , Smeers Yves , Papavasiliou Anthony
Published: September 2023

The topic of pricing non-convexities in power markets has been explored vividly in the literature and among practitioners for the past twenty years. The debate has been focused on indivisibilities in short-term auctions, the computational tractability of some pricing proposals, and the economic analysis of their behavior. In this paper, we analyse a source of non-convexities that is not discussed as broadly: the indivisibilities in investment decisions. The absence of equilibrium that we are primarily concerned about is the long-term equilibrium. We derive a capacity expansion model with indivisibilities and we highlight the issues arising from it. We discuss its relevance and address one particular argument for neglecting indivisibilities in investment, namely market size. We investigate to what extent a capacity market that clears discrete offers can mitigate the lumpiness problem. We particularly introduce the novel concept of convex hull pricing for capacity auctions. We illustrate the main findings with a numerical experiment conducted on the capacity expansion model used by ENTSO-E to assess the adequacy of the entire European system.
JEL Classification: C61 , D41 , D44 , D47 , D50 , L51 , Q41
TLS-RWKV: Real-time Online Action Detection with Temporal Label Smoothing
Authors: Zhu Ziqi , Shao Wuchang , Jiao Dongdong
Published: September 2023

Online action detection (OAD) is a challenging task that involves predicting the ongoing action class in real-time from streaming videos. In this article, we propose a novel approach for OAD based on the RWKV model and introducing temporal label smoothing. The RWKV model effectively captures temporal dependencies while maintaining computational efficiency, making it well-suited for real-time applications. The temporal label smoothing technique enhances the model's robustness in handling ambiguous boundaries and feature similarities near action boundaries. We conducted experiments on two widely used datasets, THUMOS'14 and TVSeries, to evaluate the performance of our proposed approach. Our model achieves state-of-the-art performance with 71.8% mAP on THUMOS'14 and 89.7% cAP on TVSeries. Furthermore, our proposed approach demonstrates impressive efficiency, running at over 600 FPS and maintaining a competitive mAP of 59.9% on THUMOS'14 with RGB features alone. This high efficiency makes our model suitable for real-time deployment, even on resource-constrained devices. These results showcase the effectiveness and competitiveness of our proposed approach in OAD.
Development of A dc-SQUID Amplifier with Intra-coil Resistors
Authors: Wu Wentao , Lin Zhirong , Ni Zhi , Zhang Shuo , Zhang Guofeng , Wang Yongliang , Ying Liliang , Peng Wei , You Lixing , Wang Zhen
Published: September 2023

We have developed a dc-SQUID amplifiers with intra-coil resistors based on second-order parallel gradiometers. The measured results show that intra-coil resistors can significantly increase the flux-voltage transfer coefficient VΦ as well as smooth out resonances and produce a smooth flux-voltage (V-Φ) characteristic curve. It has been observed through a comparison of various intra-coil damping resistors that the flux-voltage transfer coefficient VΦ as a function of the intra-coil resistors rises as the corresponding electric conductance increase. The measured results of the flux noise at 4.2 K demonstrate explicitly that the flux-voltage transfer coefficient can greatly increase detection sensitivity and successfully reduce the noise contribution from the electronics operating at room temperature.
A mechanics theory for the exploration of a high-throughput, sterile 3D in vitro traumatic brain injury model
Authors: Wan Yang , González-Cruz Rafael D. , Hoffman-Kim Diane , Kesari Haneesh
Published: September 2023

Brain injuries resulting from mechanical trauma represent an ongoing global public health issue. Several in vitro and in vivo models for traumatic brain injury (TBI) continue to be developed for delineating the various complex pathophysiological processes involved in its onset and progression. Developing an in vitro TBI model that is based on cortical spheroids is especially of great interest currently because they can replicate key aspects of in vivo brain tissue, including its electrophysiology, physicochemical microenvironment, and extracellular matrix composition. Being able to mechanically deform the spheroids is a key requirement in any effective in vitro TBI model. The spheroids’ shape and size, however, make mechanically loading them, especially in a high-throughput, sterile, and reproducible manner, quite challenging. To address this challenge, we present an idea for a spheroid-based, in vitro TBI model in which the spheroids are mechanically loaded by being spun by a centrifuge. (An experimental demonstration of this new idea will be published shortly elsewhere.) An issue that can limit its utility and scope is that imaging techniques used in 2D and 3D in vitro TBI models cannot be readily applied in it to determine spheroid strains. In order to address this issue, we developed a continuum mechanics-based theory to estimate the spheroids’ strains when they are being spun at a constant angular velocity. The mechanics theory, while applicable here to a special case of the centrifuge-based TBI model, is also of general value since it can help with the further exploration and development of TBI models.
Cytotoxicity effect, network pharmacology, molecular docking, and molecular dynamics simulation of new mono-chalcone compounds for breast cancer
Authors: Ismail Noor Zafirah , Khairuddean Melati , Alidmat Mohammad Murwih , Abubakar Sadiq , Arsad Hasni
Published: September 2023

Chalcones are flavonoids' derivatives and have a wide range of biological functions. Chalcones' anticancer efficacy arises from their capacity to operate on several targets. Hence, the purpose of this study was to examine cytotoxicity, network pharmacology, molecular docking, and molecular dynamics (MD) simulations of newly synthesized mono-chalcone compounds related to breast cancer. To achieve this objective, the cytotoxicity of mono-chalcone compounds in relation to breast cancer cells, specifically MCF-7 and MDA-MB-231, was investigated. The results demonstrated that the compounds were significantly suppressed in both breast cancer cells. Subsequently, the compounds were subjected to a network pharmacology analysis. The findings showed that both the compounds and the breast cancer target network shared 160 protein targets. In addition, it was discovered that most of the targeted proteins are involved in cancer pathways. The apoptosis proteins known as BCL2, MDM2, and CASP3 were the enriched genes identified in this analysis. Molecular docking analysis showed that the compounds had high binding affinities for their respective protein receptors. Therefore, the protein-ligand conformations were subjected to a 100 ns MD simulation at 310 K. Comparatively to the reference proteins, the protein-ligand conformation complexes exhibited greater stability, compactness, and negligible structural changes. The results indicate that both mono-chalcone compounds are of great significance and shed light on the molecular interactions between these compounds and proteins involved in the apoptosis breast cancer pathway.
DUAL PROMOTION OF Cu/ZnO CATALYSTS MODIFIED BY ACETYLACETONE PRECURSORS FOR CO2 HYDROGENATION TO METHANOL
Authors: Xian Junjie , Xu Yuntian , Qu Gaocheng , Na Wei , Wang Hua , Gao Wengui
Published: September 2023

It is challenging to reveal the catalytic mechanism of Cu/ZnO catalysts with multivalent copper and improve the performance of CO2 hydrogenation to methanol. We synthesized Cu/ZnO catalysts with different Cu:Zn ratios using acetylacetone salts as the precursors, in which Cu, Cu2O, CuO coexist. The catalytic activity was significantly associated with the abundance of Cu+ active sites on the surface and the formation of more Cu+-ZnO interfaces. When the ratio of Cu:Zn = 5:4, the catalyst without reduction pretreatment showed good performance, with a CO2 conversion rate of 12.9%, methanol selectivity of 85.1%, and the space-time yield of 0.238 gMeOH gcat-1 h-1. It was suggested that Cu+ tends to closely bind with ZnO, and the preparation method leads to more Cu+-ZnO interfaces. The synergistic interaction between Cu+ and ZnO promoted the adsorption and dissociation of CO2 and H2, verifying its dual effect on CO2 and H2 and promoting CO2 hydrogenation to methanol.
The Intersection Between Data Privacy and Competition Law in Zero-Price Market-Based Digital Platforms
Authors: Putri Nafila Andriana
Published: September 2023

In the digitalization era, business actors' motives to achieve a dominant position are increasingly diverse, especially in the technology sector. One of them is establishing a zero-price market-based service to attract many consumers, who later uses its consumers' personal data to reap profits and build barriers to market entry for its competitors. This paper discusses how competition law intersects with data privacy in the digital era, the relevance of the dominant position provisions in Law No. 5 Year 1999 in the digital era, and the preparation for establishing the new Indonesian competition law in the digital era. The research results of this paper show that in the digital age, business competition law and personal data protection can no longer be separated because many business actors use personal data to conduct unfair business competition. Therefore, establishing new Indonesian competition law in the digital era becomes urgent.
Caracterização da viticultura comercial familiar em Santana do Livramento (RS)
Authors: Pereira Ferreira Bruna , De Castro Biane , Augusto Brandão Soares Alisson , Schuller Meline
Published: September 2023

Dos municípios da região da Campanha Gaúcha que cultivam videiras, Santana do Livramento se destaca. Todavia, as pesquisas que abordam a vitivinicultura são voltadas para as grandes empresas, escamoteando a importância da produção da agricultura familiar. Essa lacuna no campo de produção de informações orientou o objetivo do presente estudo de realizar a caracterização socioprodutiva das unidades de produção familiar que exploram a viticultura em Santana do Livramento. A pesquisa foi exploratória, realizada remotamente, por meio de aplicação de questionário virtual semiestruturado a cinco viticultores que cultivam e comercializam uvas e produtos derivados. Os principais resultados foram discutidos em termos de tamanho de área, perfil dos produtores, acesso à terra, tratos culturais, controle fitossanitário e comercialização. Os viticultores familiares possuíam escolaridade diversificada e a maioria já havia acessado financiamento. As propriedades tinham entre 5 e 25 ha, sendo que em apenas uma delas a viticultura era a principal atividade desenvolvida. Eram cultivadas videiras americanas e europeias, entre três e vinte anos desde sua implantação, com destaque para a ‘Tannat’, ‘Concord’ e ‘Chardonnay’. A comercialização era realizada durante a safra diretamente ao consumidor ou destinada às vinícolas da Serra Gaúcha. A incidência de doenças fúngicas foi o principal problema de manejo destacado, sendo realizado o controle químico com o uso de agrotóxicos. Contudo, em apenas uma propriedade não foi utilizado qualquer tratamento de controle permitido para a agricultura de base ecológica. Apesar das dificuldades produtivas e, principalmente, para o escoamento da produção, os viticultores familiares ressaltaram benefícios acerca do cultivo de videiras, como uma diferente e importante fonte de renda e pretendem seguir na atividade.
Caracterização química, biológica e nutricional de plantas alimentícias não convencionais do gênero Solanum L. (Solanaceae)
Authors: Moreira de Sousa Welinton Gustavo , de Abreu Maria Carolina
Published: September 2023

As plantas alimentícias não convencionais (PANCs) são espécies não habitualmente utilizadas na alimentação humana, consideradas inços e matos, mas que são fonte de nutrientes e metabólitos secundários. Contudo, tais plantas não são exploradas na alimentação, por causa do desconhecimento dos métodos de cultivo e preparo, do perfil nutricional e da segurança de consumo.   À vista disso, o presente estudo realizou um levantamento bibliográfico acerca de seis espécies do gênero Solanum (Solanaceae), classificadas como PANC, objetivando, com isso, destacar os seus potenciais nutracêuticos, fitoquímicos, toxicológicos e biológicos.   A pesquisa bibliográfica deu-se a partir do levantamento de livros e artigos científicos nos bancos de dados PubMed, Science Direct, EMBASE e Biblioteca Virtual de Saúde (BVS), obedecendo ao recorte temporal de 2000 a 2020.  Dentre 1.447 periódicos levantados, foram selecionados 68, visto que esses, na análise empreendida, contemplavam os critérios metodológicos e, dessa forma, foram utilizados na caracterização das espécies. A literatura aponta que as espécies são ricas em nutrientes e metabólitos secundários, já que possuem potencialidades no combate a diversas enfermidades.  Ademais, a literatura chama a atenção para grupos químicos e elementos tóxicos presentes em alguns representantes do gênero Solanum.   Os resultados denotam, em suma, o potencial das espécies para o desenvolvimento de ingrediente farmacêutico e de alimentos funcionais com impacto benéfico à saúde humana.
Características físico-químicas de frutos de Myrcianthes pungens (O.Berg) D. Legrand
Authors: Veit Pedro Augusto , Schwarz Sergio Francisco , Guerra Divanilde , Simioni Carine , Pezzi Ernani
Published: September 2023

O guabijuzeiro produz frutos com potencial para exploração comercial, porém poucos estudos foram conduzidos. O objetivo deste trabalho foi caracterizar frutos de guabijuzeiros coletados em diferentes locais do Rio Grande do Sul. Os frutos de 13 acessos foram avaliados, em duas safras, quanto à massa fresca (MF), diâmetro longitudinal (DL) e equatorial (DE), cor, rendimento de polpa (RP), sólidos solúveis totais (SS), acidez total (AT) e Vitamina C. Na primeira safra o acesso G1 destacou-se em MF (6,89 g), DL (19,4 mm) e DE (22,3 mm); já na segunda safra os melhores resultados para MF foram obtidos com os acessos P1 (4,93 g) e BG2 (4,80 g), para DL com os acessos P1 (17,86 mm) e BG2 (17,40 mm) e DE com os acessos BG2 (20,25 mm) e P1 (20,17 mm), enquanto para o RP, as médias foram de 53,18  e 53,0%, na primeira e segunda safras, respectivamente. A cor predominante da casca foi a cinza. O teor de SS apresentou média de 15,8 e 15,1 °Brix na primeira e segunda safras, respectivamente. Para AT, as médias foram de 0,15% e 0,18%, na primeira e segunda safras, respectivamente. Para as relações SS/AT as médias foram de 108 e 91, na primeira e segunda safras, respectivamente. Para os teores de Vitamina C o acesso G1 se destacou na primeira (42,3 mg/100 g de polpa) e segunda safras (41,9 mg/100 g de polpa). Portanto, alguns acessos apresentam potencial para serem propagados visando à utilização em coleções e programas de melhoramento genético.
Effect of Statins on Superoxide Dismutase Level: A Systematic Review
Authors: Daliri Mahla , Simental-Mendia Luis E. , Jamialahmadi Tannaz , Kesharwani Prashant , Reiner Zeljko , Sahebkar Amirhossein
Published: September 2023

Background and Objective:

The literature suggests that statins may increase
superoxide dismutase (SOD) levels by different mechanisms. These effects may contribute
to the antioxidant and anti-inflammatory effects of statins, which are thought to be
beneficial in preventing cardiovascular events. However, there are also conflicting results
concerning the effect of statins on SOD levels. The goal of this systematic review was to
evaluate the effect of statin therapy on SOD activity.

Methods:

This systematic review was performed based on the PRISMA statement. The terms ("statin" or "HMG-CoA reductase inhibitor" OR "lipid-lowering agents" OR "Atorvastatin" OR "Simvastatin" OR "Pravastatin" OR "Fluvastatin" OR "Lovastatin") AND ("superoxide dismutase" OR "SOD" OR "anti-oxidative" OR "oxidative stress") were searched in database systems Google Scholar, PubMed/MEDLINE, and Scopus from inception to April 2022.

Results:

This systematic review was performed based on the PRISMA statement. The
terms (“statin” or “HMG-CoA reductase inhibitor” OR “lipid-lowering agents” OR “Atorvastatin”
OR “Simvastatin” OR “Pravastatin” OR “Fluvastatin” OR “Lovastatin”) AND
(“superoxide dismutase” OR “SOD” OR “anti-oxidative” OR “oxidative stress”) were
searched in database systems Google Scholar, PubMed/MEDLINE, and Scopus from inception
to April 2022.

Conclusion:

Our systematic review suggests that treatment with statins has a positive effect
on SOD activity. However, evidence from further randomized controlled trials is required
to confirm the potential antioxidant effect of statin therapy.
Diagnosis and Management of Riga-fede Disease in a Healthy 7-month-old Child: A Case Report
Authors: Ritwik Priyanshi
Published: September 2023

Background:

Riga-Fede disease (RFD) presents as oral mucosal ulceration in anatomical
juxtaposition to sharp dental surfaces.

Case Presentation:

A 7-month-old healthy male presented to the pediatric dentist for an emergency
appointment. His mother was concerned about episodic, recurrent, and excessive bleeding from
his mouth for three weeks. She reported that her son would often wake up in “a pool of blood”.
The pediatrician assessed the patient when oral bleeding first started and prescribed magic mouthwash.
This did not resolve the problem. The mother then took the child to an urgent care clinic,
where she was referred to a pediatric dentist. The pediatric dentist noted a sublingual traumatic,
granulomatous ulcer on the ventral surface of the tongue, extending up to the tip of the tongue. The
mandibular primary central incisors had recently erupted. The pediatric dentist established a clinical
diagnosis of RFD. Incisal edges were smoothened with dental polishing tips on a slow-speed
handpiece and topical fluoride varnish was applied to the teeth. The size of the ulceration decreased
over two weeks. However, in three weeks, there was another bleeding episode. The pediatric
dentist smoothened the incisal edges again, followed by a fluoride varnish application. Eight
weeks after the initial dental intervention, the lesion resolved completely without further bleeding.

Discussion:

The details of this case report highlight the maternal concerns, interprofessional educational
touchpoints, scope for interprofessional collaborative care, and noninvasive management of
Riga-Fede disease.

Conclusion:

In neurotypical patients, conservative dental management by smoothening sharp dental
surfaces can resolve RFD. RFD should be differentiated from viral illnesses which present with
oral ulcerations.
Psychometric Properties of the Antenatal Psychosocial Stress Scale in
Turkish Pregnant Women
Authors: Aypar Akbag Nuran Nur , Sanli Yasemin , Göke Arslan Gamze
Published: September 2023

Background:

Minimizing the stress levels of pregnant women is important to giving
healthy birth and raising healthy generations. Therefore, there is a need for effective methods to diagnose
stress early in pregnancy.

Objective:

The purpose of this research was to examine the psychometric features of the Antenatal
Psychosocial Stress Scale (APSS) in pregnant Turkish women.

Methods:

This methodological study was conducted on 290 pregnant women.

Results:

The Turkish version of the APSS based on Exploratory Factor Analysis was found to have
70.215 percent of the total variance. It had a Cronbach's alpha coefficient of 0.78. After the confirmatory
factor analysis, the following were determined: χ2/df: 1.663, CFI: 0.978, RMSEA: 0.048, GFI: 0.
972.

Conclusion:

The Turkish sample found the APSS to be a valid and trustworthy assessment instrument
for pregnant women.
Novel “HYDALJSS08” Hydroalcoholic Polyherbal Formulation Development and Ultra-performance Liquid Chromatographic Separation,
Estimation of Andrographolides in Andrographis paniculata whole Plants
and a Marketed Siddha-based Polyherbal Formulation “Kabusura Kudineer”
Authors: Jatoth Ramkishan , S.P Dhanabal , Senthil Venkatachalam , Ganesh Thangavel , Selvaraj Jubie , M.R. Jeyprakash. , Basavan Duraiswamy
Published: September 2023

Background:

The Siddha-based polyherbal formulation known as “Kabusura Kudineer (Marketed)"
and developed as “HYDALJSS08” hydroalcoholic polyherbal formulation contains some fifteen
plant materials in a dried raw form. Due to its immuno-booster properties, the Ministry of Ayush, Govt of
India, highly recommended the use of "Kabusura Kudineer" during the pandemic of COVID-19.

Objective:

The present study intends to expand and validate the analytical profile for Andrographolides
(AP), and isolated Andrographolides (AP) from the Andrographis Paniculata whole plant
and in the Polyherbal Formulations (Marketed-Kabusura Kudineer, & Developed “HYDALJSS08”).

Methods:

One of the active components of “Kabusura Kudineer” marketed and developed as
“HYDALJSS08” Hydroalcoholic Polyherbal formulation is kalmegh, also known as the king of bitter
(Andrographis Paniculata-Acanthaceae). Kalmegh composes active principal components of Andrographolides
(AP), which are proven for their Anti-viral and immunomodulatory activity. The preliminary
identification of AP and the sample was carried out by TLC and FT-IR. The liquid chromatography
was performed on a Zorbaz SB C8 (250*4.6mm & 5μm). The mobile phase incorporated pH 2.8
phosphate buffer with Acetonitrile: Methanol (60:30:10). The flow rate of the mobile phase was
1ml/min, and effluents were kept an eye on at 223 nm in a UV detector. The run time on the chromatogram
was 10 min, and retention time was also observed.

Results:

The Rf value of Andrographolides (AP) was found to be 0.62. ICH guidelines were followed
to carry out the Validation parameter. The retention time of AP was 2.5 min, and the Valid parameters of
AP and system precision were as follows: SD (1831.11), % RSD (0.2), regression equations y = 41978 +
x−10763, and correlation coefficient (R2) 0.9994. The adequate Linearity concentration was found to be
5 to 50 μg/ml, the value of LODs was 0.61μg /ml, LOQs was 2.01 μg/ml, method precision % RSD was
0.2, SD was 1597.1, and recovery was 99.9% and 101%. AP content found in a formulation (“Kabusura
Kudineer” 1.48 μg/mL, developed “HYDALJSS08” Hydroalcoholic Polyherbal formulation-0.48 μg/ml)
and isolated Andrographolides from Andrographis paniculata was 112.4μg/ml.

Conclusion:

The developed HPLC methods enabled simple, novel, rapid, easy, accurate, reproducible,
and linear analysis of isolated andrographolides, and Siddha-based Polyherbal formulations.
WITHDRAWN: Development, Optimization and Evaluation of
Solid Lipid Nanoparticles of Celecoxib
Authors: Verma Madhu , Gautam Manish , Nanda Arun , Chauhan Iti , Yasir Mohd. , Singh Alok Pratap , Majhi Sagarika , Kumari Raj , Sharma Meenakshi
Published: September 2023

The article has been withdrawn at the request of the authors of the journal Pharmaceutical Nanotechnology.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/pages/editorial-policies-main

Bentham Science Disclaimer:

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously
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must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting
the article for publication the authors agree that the publishers have the legal right to take appropriate action against the
authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright
of their article is transferred to the publishers if and when the article is accepted for publication.
Big Data Analytics for Human-Computer Interactions: A New Era of Computation
Authors: Singh Kaswan Kuldeep , Baliyan Anupam , Dhatterwal Jagjit Singh , Kaiwartya Om Prakash
Published: September 2023

Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions.

Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization.The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects.

This book is a resource for researchers, students, and professionals interested in the fields of HCI, artificial intelligence, data analytics, and computer engineering.
Dendrimers in Anticancer Drug Delivery
Authors: Bhandari Saloni , Singh Rathore Kamal
Published: September 2023

Recent development and advances in the application of nanotechnology in
the field of medicine have led to the evolution of multifunctional “smart” nanocarriers
that are capable of delivering one or more therapeutic agents effectively, safely and
selectively to tumor cells, including intracellular gene-specific targeting. Dendrimers
have a high level of control over the synthesis of dendritic architecture, well-defined
size, shape, molecular weight, membrane interaction and monodispersity, making them
a perfect example of one such multifunctional smart nanocarrier.
The 3D nano-polymeric architecture of dendrimer makes it an appropriate choice for
drug and gene delivery vectors. The functional groups attached on the surface of
dendrimers permit the addition of other moieties that can actively target certain
diseases, which are now widely used as tumor-targeting strategies. Along with being
compact and globular in structure, dendrimers also exhibit interior cavity spaces and
multiple surface functional groups, which play a vital role in encapsulating drug
molecules both in the interior of the dendrimers (physical encapsulation) as well as in
the surface functional groups (covalent conjugations). The application of dendrimers in
biomedicine has recently attracted much attention worldwide. Dendrimers are
interesting in the field of biomedical applications due to their unique characteristics.
Nanomedicine-based use of SiRNA in Cancer
Authors: Nimavat Jay M. , Bhatt Vaibhav D. , Dave Devyani
Published: September 2023

People have been suffering from cancer and associated problems for many
years. A great amount of improvement has occurred in the field of medical science, and
it certainly has benefitted humankind to help live a happy and prosperous life. Despite
all these things, cancer treatment remains a provocative question as every year cases
are increasing; on the contrary, there are a lot of difficulties associated with cancer
treatment. To cope with these unique and mischievous problems, nanotechnology is
considered a boon. Various nanoparticle facilitates the required characteristics to
deliver a specific active therapeutic agent against the cancer cells. They can be targeted
and even modified to fulfill specific pharmacokinetic parameters vital for in vivo
delivery of drugs along with Nano-systems. This chapter here focuses on various types
of nanoparticles and nanoparticle-mediated drug delivery of certain therapeutic agents.
Polymer Composites for Construction Applications
Authors: Rathod Dinesh , Mangulkar Madhuri N. , Ghanshamji Toksha Bhagwan
Published: September 2023

Polymer composite concrete (PCC) nowadays plays a major role in the
construction industry. PCC is a valuable element in the development of sustainable
construction materials. The polymers and classical concrete blends offer newer
properties and applications. A polymeric action in the field of admixtures provides
insight into the development of highly performing modified mineral concrete and
mortars. The influence of various polymers on the properties of concrete is variable due
to the polymeric chain reactions. The optimization of properties such as crack
resistance, permeability, and durability with the addition of polymer is required. The
present work reviews the types, performances, and applications of PCC to improve
various properties of concrete in both fresh and hardened states as they have shown a
strong potential from technical, economical, and design points of view.
Kalman Filter: Data Modelling and Prediction
Authors: Sarkar Arnob , Luthra Meetu
Published: September 2023

We provide here an analysis of Kalman filter, which has wide applications
in the experimental and observational fields. Kalman filter is a data fusion algorithm or
a mathematical tool which is based on the estimation theory. It basically is a set of
mathematical equations which provide a computational mechanism for evaluating the
state of discrete processes with noisy data. In fact, observations and data analysis is a
very key aspect of all theories. In any set of data, to make it useful, one has to minimize
the error/noise by taking into consideration various aspects like the estimated values
(the theoretical values), the measurement values, experimental errors and the estimated
errors. We have shown here how this can be done using Kalman Filtering technique.
Kalman Filter is a tool which can take the observational data and improvise it to
identify the best possible value of the parameters involved. Kalman filter and its
variants such as the extended Kalman filter have wide applications mainly in the field
of communication e.g., in GPS receivers (global positioning system receivers), radio
equipment used for filtering and removing noise from the output of laptop trackpads,
image processing, face recognition and many more.
Data Science and Healthcare
Authors: Djangone Armel
Published: September 2023

Data science is often used as an umbrella term to include various techniques
for extracting insights and knowledge from complex structured and unstructured data.
It often relies on a large amount of data (big data) and the application of different
mathematical methods, including computer vision, NLP (or natural language
processing), and data mining techniques. Advances in data science have resulted in a
wider variety of algorithms, specialized for different applications and industries, such
as healthcare, finance, marketing, supply chain, management, and general
administration. Specifically, data science methods have shown promise in addressing
key healthcare challenges and helping healthcare practitioners and leaders make data-driven decision-making. This chapter focuses on healthcare issues and how data
science can help solve these issues. The chapter will survey different approaches to
defining data science and why any organization should use data science. This chapter
will also present different skills required for an effective healthcare data scientist and
discusses healthcare leaders' behaviors that in impacting their organizational processes.
Synthetic and Natural Agents as Bacterial Biofilm Inhibitors
Authors: Radhakrishnan Ethiraj Kannatt , Theres Benny Anjitha
Published: September 2023

A biofilm is a form of bacterial cluster normally seen in environmental
niches. They are immobile communities that colonize and develop on medical implants
like sutures, catheters and dental implants, which can be treated only by their removal,
leading to unaffordable treatment. The main biofilm consequence is its increased
tolerance to negative environmental conditions, which includes resistance to antibiotics
and antimicrobial agents. The high resistance of bacterial biofilm towards external
stress and antibiotics is due to the extracellular polymeric matrix, which provides a
barrier from the external environment. The biofilm development is facilitated by the
cell-to-cell communication mechanism of bacteria called quorum sensing, which
promotes the bacterial community to mature. There is a huge number of naturally
occurring chemical compounds that can act as antibiofilm agents. Different chemical
compounds resist bacterial biofilm growth by different mechanisms depending on the
chemical structure of the molecule, and the stage of biofilm formation at which we
introduce the chemical compound into the biofilm system. The anti-biofilm activity of
a natural or synthetic compound mainly depends on certain aspects; some of them will
deal with the inhibition of the formation of the polymer matrix, some others may
suppress the cell adhesion and its attachment to itself or an external surface, while
others deal with the interruption of extracellular polymeric matrix generation and
lessening virulence factors production, thereby hindering QS network and biofilm
development.
Efficacy of Chemopreventive Agents in Steroid Hormone Dependent Mouse Mammary Organ Culture (MMOC) Model: A Comprehensive Review
Authors: G. Mehta Rajendra , Naithani Rajesh , Hawthorne Michael , Mehta Rajeshwari R.
Published: September 2023

Currently, Breast cancer is the leading cause of cancer mortality in women in U.S. and accounts for a high proportion of new cancer cases in this population. Cancer chemoprevention is a new approach in cancer prevention, in which chemical agents derived from the natural and synthetic source are used in nontoxic concentrations to prevent cancer in normal and/or high-risk populations. To date, numerous cancer preventive agents derived from natural products have been evaluated for their cancer chemopreventive potential. The cancer chemopreventive agents have been isolated from natural sources and/or synthesized and evaluated for their efficacy in a variety of biological assays. As a part of our cancer chemopreventive program spanning more than three decades, we established and utilized a mouse mammary gland organ culture model (MMOC) as a preliminary screening bioassay. This assay was used to evaluate natural-based compounds or their synthetic analogs. Mammary glands respond to growth-promoting hormones, and the physiological differentiation can be reproduced in MMOC. The estrogen and progesterone-dependent mammary ductal lesions (MDL) can be induced in response to a 24-hour exposure to DMBA in MMOC. In order to evaluate the efficacy, we analyze the suppression in the incidence and multiplicity of the lesions. Suppression of the incidence and multiplicity of these lesions by a possible chemopreventive agent can serve as a tool to evaluate the efficacy of potential experimental agents. Using this approach, we have evaluated more than seventy natural product-derived and synthetic chemopreventive agents as a part of the National Cancer Institute-supported projects. It may be worth mentioning that a substantial number of these chemopreventive agents having significant activity in this assay also showed encouraging results in vivo experimental studies. This bioassay not only provided a valuable tool for screening cancer chemopreventive agents for breast cancer prevention but also helped in understanding molecular mechanism(s) of action. In this comprehensive review, we provide a complete list of chemopreventive agents evaluated for efficacy against the development of mammary ductal lesions (MDL) in MMOC, along with the recent developments in in vivo mammary carcinogenesis.
Potential of Biomaterials Derived from Marine Algae as Anticancer Agent
Authors: Singh Yadvinder , Komal  , Badru Rahul , Singh Rupinder Pal , Singh D.P. , Khattar J.I.S.
Published: September 2023

Cancer is one of the most serious and common human diseases, causing millions of deaths per year worldwide. Currently, the discovery of noble therapeutic agents with a natural origin for cancer treatment is a major challenge. In this context, marine algae with wide species and phytochemical diversity will offer great scope for the discovery of new drugs. Algae with marine origin, including microalgae and macroalgae (seaweeds), constitute more than 90% of oceanic biomass. Marine algae are rich sources of pigments, lipids, carotenoids, omega-3 fatty acids, polysaccharides, vitamins and other fine chemicals. The biomaterials obtained from marine algae are important ingredients in many products, including cosmetics and drugs for treating cancer and other diseases. The in vitro and in vivo evaluations of biomolecules derived from marine algae have shown a vast range of pharmacological properties such as antioxidant, immunostimulatory and antitumor activities to control cancer. In spite of the rich source of various bioactive molecules, the marine algal flora largely remains unexplored for the discovery of active molecules against cancer to date. Hence, this review consolidates the available information on marine algae-derived anticancer molecules to provide baseline information for promoting anticancer research based on biomaterials derived from marine algae.
Application of supervised learning algorithm to determine the quality of slippers in WEKA
Authors: Mina Jennilyn C.
Published: September 2023

This study is driven by the objective of evaluating the effectiveness of various regression algorithms in the prediction of slipper quality. The selected regression algorithms were implemented within the Waikato Environment for Knowledge Analysis. The assessment of their performance was conducted through the analysis of correlation coefficients, providing insights into their predictive capabilities. Notably, the Random Forest algorithm demonstrated the highest predictive power with an impressive correlation coefficient (r=0.76), surpassing other models in the analysis. Following Random Forest, the k-nearest neighbor algorithm achieved a substantial correlation coefficient of (r=0.65), followed by the Decision Tree (r=0.53), Linear regression (r=0.51), and the Multi-layer perceptron (r=0.51). In contrast, the Support Vector Machine showed a notably lower correlation coefficient (r=0.51), indicating its comparatively weaker predictive performance. Furthermore, this study uncovered two variables, "Easy to Wash" and "Water Resistance," which displayed significant correlations of (r=0.49) and (r=-0.35), respectively, in relation to the predictive performance of the regression model. However, no significant correlation was observed for other variables. In light of these findings, future research endeavors may explore alternative predictive models to further assess and compare their performance against the outcomes presented in this study, contributing to the ongoing enhancement of slipper quality prediction methodologies.
Surgery for Rectal Cancer With Mixed Reality of 3D Model During Operation: A Case Report
Authors: HAYASHI RIE , MIYOSHI NORIKATSU , FUJINO SHIKI , MINAMI SOICHIRO , KATO SHINYA , SEKIDO YUKI , TAKEDA MITSUNOBU , HATA TSUYOSHI , HAMABE ATSUSHI , OGINO TAKAYUKI , UEMURA MAMORU , YAMAMOTO HIROFUMI , DOKI YUICHIRO , EGUCHI HIDETOSHI
Published: September 2023

Background/Aim: Recently, robotic surgery for rectal cancer has become a common minimally invasive surgery. In addition, the technology of augmented and mixed reality is applied in various living environments, including medicine. We successfully performed robotic surgery for rectal cancer with three-dimensional (3D) images as mixed reality (MR) using HoloLens2. Case Report: The patient was diagnosed with rectal cancer by colonoscopy and a positron-emission computed-tomography scan, and we performed robot-assisted anterior resection. The operator used HoloLens2 and performed the surgery while visualizing 3D images of pelvic anatomy with the location of the rectal cancer as hologram. The operation was performed completely and safely, and she was discharged 11 days after surgery with no postoperative complications. Conclusion: This case presents the usefulness of a MR system offering organ visualization as hologram during surgery.
Pyrethrin Type Compounds from the Municipal Solid Waste Ghazipur Landfill Inert Soil as Brain and Cancer 5-HT Receptor Binding Agents
Authors: Thakur Sujeet Kumar , Eswaran Sambasivan  venkat
Published: September 2023

The Inert soil obtained from the Ghazipur Municipal Solid Waste landfill located in East Delhi, India has been used as the starting material for the work described in this paper. This mountain-like monster is often in the news for its bad smell, pollution of the groundwater in the area from its leachates, and the occasional fires in it endangering the lives of the people living nearby. Landfills produce many greenhouse gases (CO2, CH4, CO, HCHO, H2S, and NH3) which are poisonous and cause environmental pollution in the surrounding areas. Our work sought alternative uses for this waste material (“Waste to Wealth”). These studies could lead to a cleaner environment, lower carbon footprints, diminished global warming, and positively impact climate change. These are very hot topics being discussed under the sustainable development goals and COP-28 urging, in particular, the developed world to reduce their carbon footprints and to create a global fund to mitigate the climate crisis in underdeveloped countries caused by climate change. Four new Pyrethrin-like compounds have been isolated and characterized spectroscopically [using UV-visible, FT-IR, NMR spectroscopy (1H-NMR spectroscopy), Mass Spectrometry, and Scanning Electron Microscopy (SEM)]. The new compounds possess a cyclopropane ring substituted on one side by a 4-methoxy-3-oxo-pyruvate unit and on the other side by an N-formyl-amino acid unit. The presence of pyrethrin-like cyclopropane structures indicates possible insecticidal activities like natural pyrethrins. The N-formyl amino acid could be an important factor in their bioactivity. Computational studies using the software Chem J. predict antibacterial, and anti-inflammatory activities with an IC50 value of 8.720.
Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor
Authors: Leung Tiffany I , de Azevedo Cardoso Taiane , Mavragani Amaryllis , Eysenbach Gunther
Published: September 2023

The ethics of generative artificial intelligence (AI) use in scientific manuscript content creation has become a serious matter of concern in the scientific publishing community. Generative AI has computationally become capable of elaborating research questions; refining programming code; generating text in scientific language; and generating images, graphics, or figures. However, this technology should be used with caution. In this editorial, we outline the current state of editorial policies on generative AI or chatbot use in authorship, peer review, and editorial processing of scientific and scholarly manuscripts. Additionally, we provide JMIR Publications’ editorial policies on these issues. We further detail JMIR Publications’ approach to the applications of AI in the editorial process for manuscripts in review in a JMIR Publications journal.
Internet Search Activity for Intentional Self-Harm Forums After a High-Profile News Publication: Interrupted Time Series Analysis (Preprint)
Authors: Kelsall Nora Clancy , Gimbrone Catherine , Olfson Mark , Gould Madelyn , Shaman Jeffrey , Keyes Katherine
Published: September 2023

UNSTRUCTURED

Searches for “pro-suicide” websites in the United States peaked during the week a high-profile news story was published and remained elevated for 6 months afterward, highlighting the need to avoid mentioning specific sources of explicit suicide instructions in media publications.
Isolation, Identification and Antibiotic Resistance Profile of Public Health Threat Enteric Bacteria from Milk and Dairy Products Retail in Abakaliki, South-East, Nigeria
Authors: Chukwu Okoro Samuel , Uzoh Chukwuma Victor , Yusuf Isaiah , Aroh K.E. , Owolabi O.J. , Kalu A.C. , Egwu-Ikechukwu M.M. , Nnabugwu C.C. , Azuama O.C. , Ilang D.C. , Ugwu B. , Okata-Nwali D.O. , Ugwuocha C.S.
Published: September 2023

Milk and foods made from milk is manufactured into more stable dairy products of worldwide value, such as butter, cheese, ice cream, and yoghurt. Consumption of contaminated milk or dairy products by pathogens causes human gastrointestinal infection, which leads to diarrheal disease in human and hospitalization or death in severe cases especially among elderly and children. An assessment of milk and dairy products was designed to determine the microbiological quality of milk and dairy products consumed in Abakaliki, Nigeria. Culture techniques were used for isolation of enteric bacteria from retail dairy products and disk diffusion method were used to determine the Antibiotic Resistance profile of isolates. Bacteria pathogens isolated were characterized and identified using morphological and biochemical techniques. SPSS and Chi-square test were used for the analysis of the study, P-value of 0.02 indicates a significant difference between the bacteria pathogens counts. A total of 161 pathogenic bacteria were isolated from 100 dairy products. Salmonella spp heard (26.1%), Escherichia coli (44.1%) and Shigella spp. (29.8%). All identified isolates were found to be 100% susceptible to ciprofloxacin and gentamycin, with 66.7% for ofloxacin. Augmentin, ampicillin, chloramphenicol and spectinomycin was 100% resistant. Data obtained confirm that milk and dairy products retailed in Abakaliki pose a serious public health threat to consumers due to the presence of pathogenic bacteria. Standard and good storage conditions, as well as environmental and personnel hygiene should be practiced to prevent contamination of milk and dairy products for the safety of consumers.
"Efficiency at Every Slice: Domino\'s Inventory Management System”
Authors: Saurav Shubham
Published: September 2023

Abstract: For firms functioning in the competitive and quickly-paced food market, effective inventory management is essential. This abstract outline the salient features of Domino's inventory management system, demonstrating its strategy for increasing operational effectiveness, lowering waste, and optimizing inventory levels. Domino's inventory management method is based on precise forecasting, ongoing observation, and efficient logistics. Domino's makes sure that its franchisees maintain ideal supply levels while minimizing excess inventory and stockouts by utilizing cuttingedge technologies and data-driven decision-making. The key elements of Domino's inventory management system are examined in the abstract, including methods for demand forecasting, inventory control, and supplier cooperation. It explains the company's focus on utilizing technology, such as integrated ordering systems and inventory management software, to increase visibility, automate procedures, and improve inventory accuracy. The summary also highlights Domino's initiatives to cut waste through efficient supply chain procedures, optimized routing and delivery, and smart perishable inventory management. It highlights the business' dedication to environmental protection and sustainability.