bluuebunny/crossref_metadata_2025 huggingface dataset:
Quality by Design Approach for Preparation, Characterization, and Statistical
Optimization of Naproxen Sodium-loaded Ethosomes via Transdermal
Route
Authors: Chettupalli Ananda Kumar , Ajmera Srivani , Amarachinta Padmanabha Rao , Manda Ram Mohan , Jadi Rajendra Kumar
Published: June 2023

Aim:

The primary goal of this study is to create a novel naproxen sodium-loaded
ethosome drug delivery system for improving bioavailability, solubility and optimize using a statistical
approach.

Background:

Naproxen sodium (i.e., a non-steroidal anti-inflammatory drug) is chosen as the first
line of treatment for rheumatoid arthritis and ankylosing spondylitis. However, naproxen has side
effects, such as bronchospasm, an irregular heart rhythm, etc. Therefore, adopting new drug delivery
strategies when developing the dosage form is necessary and the need of the hour to prevent its
side effects. The available commercial products are administered through the oral and parenteral
routes, which lack bioavailability and permeability respectively.

Objective:

Novel ethosomal carriers were designed using Box Behnken Design (BBD) and formulation
was prepared for enhanced topical delivery of naproxen sodium ethosomal gel.

Methods:

In order to analyze the data statistically and graphically with response surface plots, the
Box-Behnken design was used to optimize the formulation variables. The independent factors were
phosphatidylcholine (X1), cholesterol (X2), and ethanol (X3), while the dependent variables were
entrapment efficiency (Y2), vesicle size (Y1), and PDI (Y3). The Carbopol® 940 gel was then made
using the improved ethosomes. Its rheological properties, in-vitro release, ex-vivo skin penetration,
and deposition were studied.

Results:

The best ethosomes were made by mixing phosphatidylcholine and cholesterol in a phosphate
buffer at pH 7.4 with 2–5% v/v ethanol. The optimized ethosomes showed a zeta potential of
-32.06 ± 0.16 mV, EE of 84.59 ± 2.38%, and a vesicular size of 105 ± 6.97 nm. Compared to the
commercial products and the ethanolic solution of naproxen, these ethosomes considerably increased
the amount of naproxen permeated through the skin over 24 hours. The stability of the optimized
formulation was assessed for three months at room temperature, and it was found that the
efficiency of the prepared novel ethosomal formulation remained intact.

Conclusion:

In summary, it was discovered that the ethosomal vesicles were potential carriers,
showing the improved topical distribution of naproxen sodium. These findings demonstrated that
using ethosomes as a transdermal medication carrier for naproxen was feasible. Compared to drug
solutions, the ex-vivo permeation and skin deposition experiments produced better results.
LC-UV and LC-MS Characterization of Stress Degradation Behavior of
Levocetirizine Using a Green Mobile Phase
Authors: Bhusari Vidhya K. , Ghante Minal R. , Lonkar Akanksha , Kulkarni Preeti D. , Jagtap Supriya G.
Published: June 2023

Introduction:

The current investigation's objective was to develop an HPLC method along
with a validated stability-indicating method and analyzing the behavior of levocetirizine degradation under
various ICH-suggested stress conditions using LC-UV and LC-MS with a triple quadrupole mass
analyzer.

Methods:

Levocetirizine was exposed to various stressors while performing degradation studies. Using
LC-UV and LC-MS methods, the degradation products formed in different stress environments were
studied. The drug and degradation products were successfully separated using a Thermo Hypersil BDSC18
column having a dimension of 250 mm length, 4.6 mm internal diameter, and a particle size of 5.0
μm. The isocratic green mobile phase contained methanol:water in the proportion of 65:35 at a flow rate
of 1 mL/min, and the selected wavelength for the UV detector was 230 nm.

Results:

Significant degradation was found in acidic, alkaline, and oxidative conditions, whereas in photo
and neutral conditions, no degradation products were formed. The drug was fairly stable in the solid state.

Conclusion:

The values of m/z obtained from LC-MS after exposing the drug to different stress
conditions were used to study fragmentation patterns, characterize the structure of the degradation
product, and design the degradation pathway.
Polymeric Micelles as Drug Delivery System: Recent Advances, Approaches,
Applications and Patents
Authors: Jain Anushka , Bhardwaj Kamini , Bansal Mukesh
Published: June 2023

Administering therapeutics through the oral route is a pervasive and widely approved
medication administration approach. However, it has been found that many drugs show low systemic
absorption when delivered through this route. Such limitations of oral drug delivery can be
overcome by polymeric micelles acting as vehicles. As a result, they improve drug absorption by
protecting loaded drug substances from the gastrointestinal system's hostile conditions, allowing
controlled drug release at a specific site, extending the time spent in the gut through mucoadhesion,
and inhibiting the efflux pump from reducing therapeutic agent accumulation. To promote good
oral absorption of a weakly water-soluble medicinal drug, the loaded medicine should be protected
from the hostile atmosphere of the GI tract. Polymeric micelles can be stacked with a broad assortment
of ineffectively dissolvable medications, improving bioavailability. This review discusses
the major mechanism, various types, advantages, and limitations for developing the polymeric micelle
system and certain micellar drug delivery system applications. The primary goal of this
review is to illustrate how polymeric micelles can be used to deliver poorly water-soluble medications.
Mechanically Activated Adipose Tissue as a Source for Novel Therapies in
Neurological Disease/Injury
Authors: Gorio Alfredo , Gao Hongkun , Klinger Marco , Vinci Valeriano , Paino Francesca
Published: June 2023

In this review, we describe a new avenue that involves the therapeutic use of human adipose
tissue. In the past two decades, thousands of papers have described the potential clinical use of human fat
and adipose tissue. Moreover, mesenchymal stem cells have been a source of great enthusiasm in clinical
studies, and these have generated curiosity at academic levels. On the other hand, they have created considerable
commercial business opportunities. High expectations have emerged for curing some recalcitrant
diseases or reconstructing anatomically defective human body parts, but several concerns have been
raised by generating criticism on the clinical practice that have not been substantiated by rigorous scientific
evidence. However, in general, the consensus is that human adipose-derived mesenchymal stem cells
inhibit the production of inflammatory cytokines and stimulate the production of anti-inflammatory cytokines.
Here, we show that the application of a mechanical elliptical force for several minutes to human
abdominal fat activates anti-inflammatory properties and gene-related expression. This may pave the way
for new unexpected clinical developments.
The Copper Metal and Magnetite Nanoparticles Conjugated with Salicylic
Acid Composite Stimulated Wheat Defense Mechanism and Affected
Cellular Components under Heat Stress
Authors: Salaheldin Taher A. , Mahdi Asmaa A. , Hendawey Mohamed H. , Hassan Nahla S.
Published: June 2023

Aims:

This study aimed to examine the effect of magnetite coating of salicylic acid and Cu
metal nanoparticles on yield, cellular contents, and some biochemical constituents of wheat subjected
to heat stress.

Background:

An applied experiment was conducted over two seasons at the Agricultural Experimental
Station of Desert Research Center (DRC), which was supervised by the El Wadi El Gadeed
Governorate in Egypt. The grains of wheat cultivars Sids1 (tolerant) and Gimmeza7 (sensitive) were
treated with copper metal as NPs (Cu NPs) (0.25, 0.50, 0.75, 1.0, and 10 ppm) and magnetite NPs
(0.25, 0.50, 0.75, 1.0 and 10 ppm) coated with salicylic acid at 100ppm (Fe NPs+SA).

Objective:

The objective of this study was to examine wheat tolerance to heat stress and subsequently
yield by comparing two wheat cultivars under the same conditions.

Method:

The chemically formulated nanoparticles were well characterized and applied in two wheat
cultivars subjected to heat stress.

Results:

The results showed that all NPs treatments had a positive impact on all physiological parameters
and grain yield. Sids1 surpassed Gemmeiza7 in the quality of wheat grains (essential, nonessential
amino acids). However, Gimmeza7 exceeded Sids1 in yield quantity, especially with the application
of SA+Fe NPs at 0.50 ppm. These effects were associated with heat tolerance and the best
survival in wheat cultivars. There was an increase in glutathione content, antioxidant enzymes (Glutathione
-S- Transferase), and/or a decline in malondialdehyde content.

Conclusion:

Fe NPs+SA (0.5ppm) helped the Gimmeza7 cultivar to mitigate the effects of heat stress
through activating growth, glutathione, and glutathione S transferase, enhancing yield quantity in two
wheat cultivars (Misr1 and Gimmeza11), and decreasing their MDA content.
Large Scale Ontology Matching System (LSMatch)
Authors: Sharma Abhisek , Jain Sarika , Patel Archana
Published: June 2023

Background:

Ontology matching provides a solution to the semantic heterogeneity problem
by finding semantic relationships between entities of ontologies. Over the last two decades,
there has been considerable development and improvement in the ontology matching paradigm.
More than 50 ontology matching systems have been developed, and some of them are performing
really well. However, the initial rate of improvement was measurably high, which now is slowing
down. However, there still is room for improvement, which we as a community can work towards to
achieve.

Method:

In this light, we have developed a Large Scale Ontology Matching System (LSMatch),
which uses different matchers to find similarities between concepts of two ontologies. LSMatch
mainly uses two modules for matching. These modules perform string similarity and synonyms
matching on the concepts of the ontologies.

Results:

For the evaluation of LSMatch, we have tested it in Ontology Alignment Evaluation Initiative
(OAEI) 2021. The performance results show that LSMatch can perform matching operations on
large ontologies. LSMatch was evaluated on anatomy, disease and phenotype, conference,
Knowledge graph, and Common Knowledge Graphs (KG) track. In all of these tracks, LSMatch’s
performance was at par with other systems.

Conclusion:

Being LSMatch’s first participation, the system showed potential and has room for
improvement.
Probability
Authors: Polanco Carlos
Published: June 2023

In this section we review the main Probability operators that are strongly
associated with the main themes of this book which are Discrete-Time Markov
Chain Process, and Continuous-Time Markov Chain Process. the chapter begins
with the basic definition of: certain event, dependent event, independent event and
impossible event. Later we review the concept of conditional probability which
permeates all the following chapters as well as the multiplication rule. At the end
the Bayes’ Theorem is addressed which is the basis of the procedures described in
the last chapters as they are: Discrete and Continuous-Time Markov Chain Process.
All sections are exemplified in the simplest and most complete way possible, so that
the reader does not have difficulty in the use and language of these operators in the
following sections.
Discrete-Time Markov Chain Process
Authors: Polanco Carlos
Published: June 2023

In this chapter, we define the Discrete-Time Markov Chain Process operator, all the initial components seen in the previous chapter are applied, and the
vector of final conditions as known as steady-state vector is defined and exemplified, this vector shows the final state of the process and depends on the initial state
vector and the matrix of transition probabilities. The solution mechanism is shown
both by the iteration of the vector-matrix product and by determining the eigenvalues and eigenvectors of the matrix of transition probabilities. In an effort to categorize the possible matrix of transition probabilities, they are illustrated as reducible
form, trasient form and recurrent form. In an effort to categorize the possible matrix
of transition probabilities, they are illustrated as reducible form, trasient form and
recurrent form. As a direct application of the Discrete-Time Markov process, the
Metropolis Algorithm is presented, as well as a regularity that can be observed in
the matrix of transition of probabilities and that is described in the section Law of
Large Numbers. Some full basic examples are provided to illustrate the definition
and operation of this ramdon walk.
Computational Financial Issues
Authors: Polanco Carlos
Published: June 2023

This chapter defines Discrete or Continuous-Time Markov Chain Process
aimed at predicting market trends, taking the ratings that the stock exchange gives
to shares. The chapter is developed through two cases that affect in different ways
the corresponding matrix of transition probabilities, in the discrete case conditional
probabilities are assumed for each of the groups of shares that were registered in
that matrix, and in the continuous case different forward and backward speeds between shares are assumed.
Computational Science Issues
Authors: Polanco Carlos
Published: June 2023

This chapter introduces a Hierarchical Markov Chain Process over a hierarchical network whose nodes are Discrete-Time Markov Chain and Continuous-Time Markov Chain Processes. We consider it useful to carry out this non-exhaustive
analysis to discuss the advantages and disadvantages of a random walk of this nature and its possible application, particularly in real-time and in unsupervised mode.
Examples are provided under the discrete and continuous schemes.
Computational Social Sciences Issues
Authors: Polanco Carlos
Published: June 2023

This chapter defines a Discrete-Time and Continuous-Time Markov
Chain Process aimed to identify the language used to write a text. This is a brief
introduction to show the usefulness of both random walks in the recognition of a
language, and how these methods can lead to deepen the recognition using other
possible structural language. An example is established and solved from diphthongs
of the English language
Caffeine-based Compounds for the Treatment of Neurodegenerative Disorders
Authors: Spano Mattia , Di Matteo Giacomo
Published: June 2023

Neurodegenerative disorders, such as Alzheimer’s and Parkinson’s, are very
complex diseases, whose treatment and prevention are still very problematic to date.
The search for new potential treatments is always a current topic. In this context, the
discovery of molecules with a dual-targeting action against both MAO-B enzyme and
A2A receptor has been largely pursued in recent years, considering their involvement in
the etiological process of these diseases. In particular, caffeine, an alkaloid largely
present in beverages and foods, has been shown to possess beneficial effects in the
prevention/treatment of neurodegenerative disorders. Moreover, in vitro assays have
confirmed its interaction with the MAO-B enzyme and A2A receptor, stimulating the
synthesis of caffeine chemical derivatives that can strongly act against these two
targets. In this chapter, several classes of caffeine derivatives have been discussed, with
particular attention on their synthesis and (dual) biological activity of MAO-B enzyme
and A2A receptor.
Piperine Derivatives: New Trends in Medicinal Chemistry
Authors: Trifan Adriana , Güzel-Akdemir Özlen , Carradori Simone
Published: June 2023

The alkaloid piperine has always attracted the interest of pharmaceutical
botanists for its biological activities and pharmacokinetics-modulating properties. It is
currently used in combination with other compounds for the treatment of several
diseases. Starting from its peculiar structure, medicinal chemists have explored the
chemical space around the amide portion, the conjugated double bond chain and the
benzodioxole ring. This approach led to a large plethora of derivatives, which
diversified the properties of the parent compound or improved its potency against
specific targets or biological systems. In this chapter, several classes of piperine
derivatives have been discussed and classified according to the proposed therapeutic
use, with a particular attention on their structure-activity relationships and biological
activity values.
Digitalisasi Kartu Tanda Penduduk dan Partisipasi Milenial-Gen Z: Investigasi Penerimaan Transformasi Digital dalam Kebijakan Kependudukan Indonesia
Authors: Alfarizi Muhammad
Published: June 2023

Kemajuan Teknologi dan perlintasan zaman Society 5.0 menuntut organisasi sektor publik untuk mengintegrasikan teknologi di dalam kinerja pelayanan dan tata kelola agar lebih efisien, bersih, transparan, akuntabel, dan partisipatif. Konsep E-Government menjadi semakin populer di Indonesia, salah satunya dengan keberadaan kebijakan KTP Digital pada awal tahun 2023. Transformasi digital administrasi kependudukan ini harus efektif salah satunya dengan menggandeng generasi millenial dan Gen-Z sebagai pionir transformasi digital di Indonesia. Studi ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi keberhasilan penerapan kebijakan KTP Digital di tengah generasi millenial-Gen Z dan mengembangkan kerangka kerja konseptual yang berkaitan dengan penerapan teknologi digital dalam administrasi kependudukan. Studi ini mengembangkan delapan hipotesis dengan instrumen indikator yang telah ditetapkan. Data didapatkan dari survei di tengah generasi millenial dan Gen Z dengan penyebaran berbasis online pada Bulan Januari-Februari 2023 dan sampelnya ditarik dengan teknik Convenience Sampling. Hasil data dianalisis dengan teknik SEM PLS. Pada hasil analisis ditemukan faktor kesadaran, pengaruh sosial, persepsi biaya untuk bertransformasi, dan kepercayaan yang dirasakan pada teknologi serta pemerintah sebagai penentu penting dari niat untuk menggunakan KTP Digital. Namun menariknya terdapat penolakan faktor risiko di dalam penentu niat menggunakan KTP Digital yang ditelisik lebih lanjut dikarenakan beban tanggung jawab pemerintah sebagai pengambil kebijakan. Sehingga studi ini menyimpulkan perlunya penguatan infrastruktur, jemput bola transformasi dan sosialisasi KTP Digital menjadi tiga solusi utama mendorong masyarakat yakin dan siap bertransformasi dengan KTP Digital.
Analysis of students with the wrong major based on the metacognitive dimension
Authors: Suharno Suharno , Lailaturrohmah Fudiana , Purwanto Purwanto , Ranto Ranto , Akhyar Muhammad
Published: June 2023

Precisely, students with the wrong major faced several conflicts such as academics. To improve education quality, it is necessary to develop metacognitive skills because the level is still in the risk category. Therefore, this study aims to analyze (1) the percentage of students with the wrong major (2) the impact and factors that cause children to select the wrong majors (3) students' learning activities with the wrong major. The design is descriptive and quantitative with questionnaires distributed in three batches. Furthermore, the test was carried out using proportional stratified random sampling. Data were collected through questionnaires and interviews. The validity test was performed using the product moment method from Karl Person. Moreover, data were analyzed by employing factors and descriptive statistical techniques. The results showed that; First, 59% and 41% of students agree and refused they are in the wrong major. Second, the influencing factors include seeking opportunities to enter college, degree demand in the work context, parental coercion, study program profiles, and job prospects. However, the most influencing factor is seeking opportunities to enter college. Third, the wrong study program causes students to feel inferior to others. Fourth, there is a negative influence of the wrong major on metacognitive, particularly in planning development where children have difficulty managing time to achieve their goals.
Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences (Preprint)
Authors: Kamba Masaru , She Wan Jou , Ferawati Kiki , Wakamiya Shoko , Aramaki Eiji
Published: June 2023

BACKGROUND

Despite being a pandemic, the impact of the spread of COVID-19 extends beyond public health, influencing areas such as the economy, education, work style, and social relationships. Research studies that document public opinions and estimate the long-term potential impact after the pandemic can be of value to the field.

OBJECTIVE

This study aims to uncover and track concerns in Japan throughout the COVID-19 pandemic by analyzing Japanese individuals’ self-disclosure of disruptions to their life plans on social media. This approach offers alternative evidence for identifying concerns that may require further attention for individuals living in Japan.

METHODS

We extracted 300,778 tweets using the query phrase Corona-no-sei (“due to COVID-19,” “because of COVID-19,” or “considering COVID-19”), enabling us to identify the activities and life plans disrupted by the pandemic. The correlation between the number of tweets and COVID-19 cases was analyzed, along with an examination of frequently co-occurring words.

RESULTS

The top 20 nouns, verbs, and noun plus verb pairs co-occurring with Corona no-sei were extracted. The top 5 keywords were graduation ceremony, cancel, school, work, and event. The top 5 verbs were disappear, go, rest, can go, and end. Our findings indicate that education emerged as the top concern when the Japanese government announced the first state of emergency. We also observed a sudden surge in anxiety about material shortages such as toilet paper. As the pandemic persisted and more states of emergency were declared, we noticed a shift toward long-term concerns, including careers, social relationships, and education.

CONCLUSIONS

Our study incorporated machine learning techniques for disease monitoring through the use of tweet data, allowing the identification of underlying concerns (eg, disrupted education and work conditions) throughout the 3 stages of Japanese government emergency announcements. The comparison with COVID-19 case numbers provides valuable insights into the short- and long-term societal impacts, emphasizing the importance of considering citizens’ perspectives in policy-making and supporting those affected by the pandemic, particularly in the context of Japanese government decision-making.
A study on the impact of Internet information access on patients' first-diagnosed seeking behaviors in primary hospitals in the context of "Health China" (Preprint)
Authors: Lin Yiyang , Lu Ying , Qu Junqiao , Zeng Yi
Published: June 2023

UNSTRUCTURED

With the implementation of the "Health China" strategy, health and medical information and the Internet have been closely linked together. However, while the Internet has facilitated patients' online consultation, it also contributes to problems such as false information, health anxiety and tendency to seek high-level medical treatment blindly. Based on the above background, this paper uses CFPS 2018 data and conducts an empirical analysis using the instrumental variable method, aiming to explore the association between Internet information access and patients' first-diagnosed seeking behaviors in primary hospitals. The results show that patients who view the Internet as an important information channel have a lower probability of seeking initial diagnose in primary hospitals, comparing with those for whom Internet is not an important information channel. This is mainly due to that Internet information will generate a substitution effect of self-treatment instead of primary care in the group of patients with minor illnesses, and will produce a tendency effect to seek high-level treatment in tertiary hospitals in the group of patients with severe illnesses. In terms of heterogeneity, whether or not to use the Internet as an important information channel mainly affects men's first-diagnosed seeking behaviors in primary hospitals, not for women. Based on this, the following countermeasures are proposed: (1) To improve the access threshold of Internet consultation platforms and to strengthen the supervision and management of Internet medical information. (2) To improve chronic disease management services. (3) To build an online and offline multi-dimensional service system.
The Impact of Alliance Orientation on Resource Complementarity: An Empirical Study on SMEs in Syria
Authors: Bahlawan Abd Al Azez Al
Published: June 2023

This study examines the impact of alliance orientation on resource complementarity among Small and Medium Enterprises (SMEs) in Syria. A sample of 310 managers was surveyed to investigate the correlation between these two constructs. Findings from a reliability analysis and regression indicate a positive and significant relationship, suggesting that a stronger alliance orientation facilitates more complementary resource allocation and utilization. This paper contributes to the body of literature on SMEs, alliance orientation, and resource complementarity, and provides practical insights for managers in Syria and other similar.
Nanopartículas metálicas: una alternativa para combatir la resistencia de especies causantes de la candidiasis
Authors: García-Marín Luis Enrique , Castro-Longoria Ernestina
Published: June 2023

La candidiasis es provocada por diferentes especies del género Candida, siendo C. albicans la más común en los aislados clínicos a nivel mundial. Esta enfermedad es un problema para el sector salud, debido a la multirresistencia que algunas especies de Candida presentan a los antifúngicos tradicionalmente utilizados para controlar la enfermedad. Tal es el caso de C. glabrata y recientemente C. auris, las cuales son resistentes a los azoles, las equinocandinas y a los polienos; por lo cual, la búsqueda de nuevos antifúngicos es una prioridad. La nanotecnología ofrece nuevas alternativas, como el uso de las nanopartículas (NPs) metálicas, en particular, las de plata y cobre han mostrado ser eficientes para la inhibición de C. albicans. En este trabajo se presentan los estudios más relevantes que han evaluado el efecto de las NPs metálicas en especies del género Candida, así como los resultados más prometedores.
A biosensing platform based on graphene oxide and photoluminescent probes: advantages and perspectives
Authors: Mancera Zapata Diana Lorena , Morales Narváez Eden
Published: June 2023

Biosensing systems are powerful biotechnological tools which are widely applied in medical and environmental settings. Herein, we provide an overview of a recently developed optical biosensing system based on the quenching abilities of graphene oxide and fluorescent bioprobes. This biosensing platform has been demonstrated to be a fast, cost-effective and reliable nanophotonic technology. In particular, it has been exploited to detect relevant analytes in real matrixes, including prostate specific E. coli and COVID-19 antibodies. Besides, this technology enabled the detection of sialidase in clinical samples to determine bacterial vaginosis. This biosensing system has recently been used to determine relevant information on the kinetics of proteins involved in the biorecognition process, everything performed in real-time and in a single step.
El estrés como factor de riesgo en el sobrepeso y la obesidad
Authors: Guillén Riebeling Raquel del Socorro
Published: June 2023

El síndrome general de adaptación o estrés constituye en el ser humano y otras especies, uno de los mecanismos básico de protección ante agentes que son evaluados como amenazantes y ponen en riesgo el equilibrio homeostático. Esta evaluación pone a su vez sistemas de defensa específicos que pueden ser exitosos en la evitación o ataque. Los procesos psicofisiológicos han sido ampliamente descritos en la literatura científica, en este trabajo se hace una revisión documental de la relación que tiene el proceso del estrés como factor de riesgo en el origen y mantenimiento de las enfermedades crónico-degenerativas del sobrepeso y la obesidad. Se destacan los conceptos de estrés bueno, estrés malo y estrés como factor de riesgo, este último vinculados a la presencia de otras enfermedades como diabetes e hipertensión arterial. En la salud mental con emociones negativas, conductas maladaptativas o la distorsión de cogniciones. En este trabajo se revisa estos conceptos del estrés en su conceptualización y la posible relación con enfermedades crónico degenerativas como la obesidad, los mecanismos de uso de la energía para la adaptación, lo que hace la integración psicobiológica por excelencia.
Cuidados preventivos al salir de compras en la nueva normalidad
Authors: Téllez Silva Brenda
Published: June 2023

La pandemia de COVID-19 ha llevado a las personas, a nivel mundial, a seguir medidas restrictivas de socialización y actividad cotidiana, especialmente a evitar salir si no es indispensable, las medidas que se han implementad, van desde el distanciamiento social, el uso de mascarillas y caretas, hasta el cierre de todas las instituciones educativas, centros de trabajo y la solicitud de no tener eventos sociales multitudinarios. A dos años de la implementación de estas medidas, se plantea que existirán nuevas formas de convivencia, lo que tiene implicaciones en el comportamiento de las personas y de la sociedad en general, que permitan un nivel bajo de contagios. Dentro de estos nuevos hábitos, también se encontrarán los relacionados al ámbito social, laboral y personal, sin dejar de lado las relacionadas con las compras tanto de alimentos como de productos esenciales. Con la finalidad de visualizar las principales recomendaciones, en este artículo se recopilan las principales medidas de protección sanitaria al salid de compras.
Emociones sociales y obesidad
Authors: Morales Salinas Maricruz
Published: June 2023

Desde hace varios años ya, se habla del rápido crecimiento estadístico de la obesidad en diversos países del mundo y como es que ahora este crecimiento representa una amenaza a la salud de toda la población. Es un hecho que uno de los factores asociados a la obesidad se enfoca en la cuestión estética, aun cuando pueden encontrarse personas con obesidad que se consideraran metabólicamente sanos, pero no se puede dejar de lado que el sobrepeso y la obesidad incrementan sustancialmente el riesgo de padecer diversas enfermedades y también se ha asociado a diversas condiciones psicológicas por lo que en este artículo se presenta una revisión teórica de las principales características y diferencias de las emociones básicas y complejas, enfatizando especialmente las definiciones de las emociones sociales, principalmente las emociones de culpa y vergüenza. Se presenta una definición de lo que es emoción, tomando en cuenta el análisis de los factores que están integrados en ella, como lo es la cognición que es parte esencial en su comprensión, con esa finalidad se realizó una revisión de estudios relacionados con la emoción. Y se concluye resaltando las implicaciones que todo esto tiene en un contexto en el que se asocian las emociones morales con la condición de peso, especialmente con la obesidad.
Drugging Down on Life Athletes Clouding Their Minds through Substance Abuse
Authors: Mehta Sohil , Vijay Tanushri
Published: June 2023

Abstract: Drug usage is prevalent across all sports and at all levels of competition. For a variety of reasons, including performance improvement, self-treatment of otherwise untreated mental illness, and coping with pressures such as pressure to perform, injuries, physical discomfort, and retirement from sport, athletes may turn to drugs. Doping is a term used to describe this type of abuse. Doping has a long history, dating back to when organized sports existed. Improved drug testing detection technologies and improvements in scientific research have led to the discovery and use of compounds that may later be outlawed, resulting in "advances" in doping strategies. The sports persons also need to be more vigilant about the prevalent antidoping rules and regulations.
Connection with the Multiple Bluetooth Speaker with the Single Device
Authors: Jeyalakshmy Mrs. G.
Published: June 2023

Abstract: This paper presents the design and development of an Audio Connector application that enables users to route audio from a single input source to multiple output devices simultaneously. It is able to communicate with a wide range of devices without an interface. Users can concurrently stream audio to two wireless speakers or headphones using the Dual Audio functionality. Additionally, users can independently adjust the media output volume of each audio device. The times when you and your buddies would constantly quarrel about the volume of the audio are long gone. Theoretically, all Bluetooth 5.0 and higher-capable devices can use the dual audio capability. However, other elements like the hardware capabilities of your device and its operating system, for example, the Android version, also affect your ability to use this feature. The Bluetooth signal's maximum range is still 10 metres, despite advancing technical requirements for wireless communication
Sentimental Analysis Using Machine Learning for Mental Healthcare Management System
Authors: Kakde Prof. Priti
Published: June 2023

Abstract: Mental health issues are becoming more and more common around the world, with more and more people suffering from stress, anxiety, depression, and other related disorders. It has led to the development of innovative approaches to identify and treat the problem. Sentiment analysis, is a computer technique that analyzes text and identifies the emotions behind it, detects and monitors mental health problems in real time. It can be used for analyzing social media posts, chat messages, and other forms of online communication, sentiment analysis can provide valuable insight into the emotional state of individuals and groups. This technology helps mental health professionals identify those in need of support and provide timely interventions, ultimately improving mental health outcomes for individuals and society as a whole.
Heart Disease Prediction Using Machine Learning
Authors: Sathyanarayana Mangali
Published: June 2023

Abstract: Machine learning has been widely adopted by many other businesses as a result about its tremendous success in ecommerce, retail, & marketing. Healthcare sector is one about these. Aforementioned sector is regarded for being "information rich" & offers considerable potential for making wise decisions & spotting hidden patterns. We can deal with aforementioned scenario using cutting-edge machine learning algorithms. Heart diseases are among topics certain are most frequently discussed in healthcare sector. A vital organ is heart. It circulates blood & gives it towards all organs so they can work. A key piece about research in aforementioned area is prediction about heart disease incidence. Machine learning algorithm Logistic Regression was employed in aforementioned study. Using aforementioned technique, a prediction system is developed towards determine if a given patient is at risk for heart disease or not. primary goal is towards determine most accurate algorithm certain is suitable for this.
IOT Based Remote Health Monitoring System for Discharged Patients
Authors: Singh Amreek
Published: June 2023

Abstract: In this automated world, biomedical field is not superior.But the rapid advancements in engineering have proven their importance in the biomedical field.Rapid development of technologies such as the Internet and Internet of Things has brought improvements in healthcare. IoT-based health monitoring system has been widely studied and developed in recent years, as they can improve the quality and accessibility of health care services, especially for patients with chronic diseases or in rural areas.The existing IoT-based health monitoring systems have some similarities and differences in terms of their hardware and software components,features, performance, etc. All the systems use sensors to measure the vital signs of patients but they use different types and models of sensors with different specifications and accuracy. This paper presents multiple improvements to the current approach by introducing a system that provides remote and continuous monitoring of patients' health status and enables early detection and intervention of potential health problems. This system utilizes Arduino nano and Wemos D1 Mini, two popular microcontrollers, collect data from various sensors attached to the patient's body and transmit it wirelessly to a central monitoring station. Moreover, the cost of this system is substantially reduced as compared to previous systems.
Motorised System for Loading and Unloading of Press Dies in Press Machine
Authors: Baramkar Atharva
Published: June 2023

Abstract: The paper describes the use of a plate heat exchanger in transferring heat between two fluids. It explains that the design of a plate heat exchanger involves multiple heat transfer plates held together by a fixed plate and a loose pressure plate. These plates have a gasket arrangement that creates separate channel systems for the primary and secondary media, allowing for counter-current flow and effective heat transfer. To manufacture the corrugated plates, the text mentions the use of Hydraulic Press Machines with different capacities depending on the plate dimensions. The process involves changing heavy press dies, which is time-consuming and decreases overall plant efficiency. To address this issue, a proposed solution is to semiautomate the loading and unloading of press dies. A mechanical system is designed, comprising a table with rollers and linear motion guideways. The system utilizes a Ball screw mechanism powered by a servo motor and driven by a Worm Gearbox. The orientation of the motor, perpendicular to the line of motion, saves space and provides more working space on the workshop floor. In summary, the proposed solution aims to increase efficiency and safety by implementing a mechanical system for loading and unloading press dies in plate heat exchanger manufacturing, incorporating a Ball screw mechanism, servo motor, and Worm Gearbox.
Design of Circular Overhead Water Tank, Modelling and Analysis Using Staad-Pro
Authors: Nimbalkar P. V.
Published: June 2023

Abstract: Water tanks are frequently used for storing potable water. Due to inadequacy of water around the world, significance is given more on the water storage project. So water storage is very essential as it plays a vital role in everyday life. water tanks and Storage reservoirs are used to store water, petroleum products, liquid petroleum, and similar liquids. All tanks are analysed and designed as crack free structures to get rid off any leakage. This project provides a brief explanation of the theory underlying the manual analysis and design of an overhead circular water tank using the Working Stress Method (WSM) and software modeling and analysis using Stat-Pro.
Unveiling Fakes: A Blockchain-Backed Approach for Product Authentication
Authors: Gudadhe Mrs. Mrudula
Published: June 2023

Abstract: In recent years, the proliferation of counterfeit products has become a pervasive issue, posing significant challenges to consumers, businesses, and governments worldwide. Traditional methods of detecting fake products often fall short due to their reliance on centralized databases, which can be tampered with or manipulated. However, blockchain technology, with its decentralized and transparent nature, offers a promising solution for detecting fake products. This paper presents a novel approach for fake product detection using blockchain technology, leveraging its inherent properties of immutability, transparency, and distributed consensus. The proposed system utilizes a blockchain-based registry that securely records product information, such as serial numbers, manufacturing details, and supply chain data, at each stage of the product's lifecycle. Through smart contracts and cryptographic techniques, the system ensures that product information is authentic and cannot be tampered with. Moreover, the system allows consumers, businesses, and other stakeholders to easily verify the authenticity of a product by accessing the blockchain registry, thereby empowering them to make informed purchasing decisions. The paper also discusses the potential benefits and challenges of implementing blockchain-based fake product detection, including increased consumer trust, improved supply chain visibility, and enhanced brand protection, as well as considerations such as privacy, scalability, and interoperability. Overall, this paper contributes to the emerging field of blockchain applications in supply chain management and counterfeit detection, providing insights and recommendations for future research and development in this area.
Utilization of Ceramic Tiles Waste as a Partial Replacement of Fine Aggregate in Cement Mortar
Authors: C Sumanth
Published: June 2023

Abstract: The rapid growth of the construction industry has led to an increased demand for building materials, particularly aggregates. The extraction of natural aggregates has significant environmental impacts, including landscape alteration and depletion of natural resources. Therefore, finding alternative materials for sustainable construction is essential. This project aims to investigate the potential utilization of ceramic tile waste as a partial replacement for fine aggregate in cement mortar. The research methodology involves collecting ceramic tile waste from local sources and conducting laboratory experiments to evaluate the physical and mechanical properties of cement mortar incorporating different percentages of ceramic tile waste. The properties investigated include workability, compressive strength, flexural strength, and water absorption capacity. The experimental results demonstrate that the addition of ceramic tile waste as a partial replacement for fine aggregate in cement mortar exhibits promising outcomes. The workability of the mortar is within an acceptable range for construction purposes, and the compressive and flexural strengths show satisfactory performance. Moreover, the water absorption capacity of the mortar reduces with an increase in the percentage of ceramic tile waste, indicating improved durability. This research contributes to the sustainable utilization of ceramic tile waste, reducing the environmental burden associated with waste disposal and conserving natural resources. The findings provide valuable insights into the feasibility of incorporating ceramic tile waste in cement mortar, potentially leading to the development of cost-effective and environmentally friendly construction materials
Challenges and Risks in Artificial Intelligence Particularly in the African Region
Authors: Singh Dr. Bishnujee
Published: June 2023

bstract: The field of artificial intelligence (AI), also known as machine learning, is one that is evolving at a breakneck pace and has the potential to disrupt many different parts of the economy around the world. Artificial intelligence (AI) presents enormous prospects for economic growth and social progress. At the same time, however, it also represents considerable problems and threats. The purpose of this study paper is to investigate the challenges and risks that are related with AI, as well as the impact that it has on the African region. This study aims to shed light on potential dangers and provide recommendations for avoiding those risks by conducting an analysis of the specific environment of Africa. This context includes the socio-economic aspects, technological infrastructure, and cultural variety of the continent. The outcomes of this research will contribute to a greater understanding of the ramifications of adopting AI in Africa and will guide policymakers, industry leaders, and stakeholders on methods to ensure the deployment of AI in a responsible and equitable manner.
Womens Safety Jacket by using Raspberry Pi-3 Module
Authors: Sneha Gavali , Pooja Lokhande , Pratiksha Jagtap , Lambe Prof. S. M.
Published: June 2023

Abstract: Now-a-days, the situation is become worst for women relating her safety. The government has provided security through rules and regulations to the society but the existing system needs advanced smart security for women safety. The purpose of our project is to design an easy and portable device for girl’s safety. Our project focuses on “women safety”. In our project we prepared safety jacket in which we provided different features like: Buzzer system. Video capturing of attacker. Location tracking by GPS. Msg sending to predefined numbers like: family, friend through Gmail. Video sending to selected family, friend numbers& police station. Msg sending to predefined numbers like: family, friend through Gmail. We used components such as Push Buttons, module raspberry pi 3, GPS NEO6MV2, GSM SIM900D, buzzer, and Lipo batteries etc.
An Experimental Study on Partial Replacement of Cement by Dolomite Powder
Authors: E Jagadisha C. , N Jeevan M , N Lukesh , C Yuvaraju U. , S Akshay Kumar H
Published: June 2023

Abstract: Currently India has taken a major initiative on developing the infrastructures such as express highways, power projects, and industrial structures to meet the requirements of globalization in the construction field, which involves the construction of buildings and other structures. Concrete plays the key role in the construction field and a large quantity of concrete is being utilized in every construction practices. To increase the strength of concrete the water/cementratio has to be reduced, which in turn increases the cement content. To overcome low workability problemdifferent kinds of admixtures are used to achieve the required workability. The dolomite powder which is usually disposed can be used as an alternate for cement, since dolomite powder is rich in magnesium carbonate content and also sufficient calcium content. The dolomite powder is used in different combination to find the feasibility of using the dolomite powder as an alternate to cement. The cement is replaced by 0%, 5%, 10%, 15%, and 20% by the weight of cement and by keeping the replacement of dolomite powder for cement as constant that is 10% by weight of cement. The concrete cubes are casted and compression and split tensile tests were carried out to find the best combination which results in optimum percentage of strength.
Spatial models of access to health and care services in rural and remote Canada: a scoping review protocol
Authors: Walker Samantha , McGaughey Tomoko , Peters Paul
Published: June 2023

Objective: The objective of this review is to determine the scope of spatial modelling approaches used to evaluate geographic access to health and care services in rural Canada. Introduction: Canada’s health and social policy agenda has made the requirement for equal access to primary and secondary health services for rural populations a key priority. Most rural health research in Canada has focused on measuring patterns of health outcomes or modelling geographic access to a narrow range of services, health conditions, or within specific regions. This scoping review will provide an in depth look at the spatial modelling currently being used to evaluate the barriers and facilitators for access to health and care services and will provide direction for further research. Inclusion criteria: This review will consider studies that include any person accessing health and care services in Canada, focusing on those who reside in rural or remote communities, or access health services in those areas. Methods: Published primary studies, reviews, opinion papers, reports, theses, and dissertations published in English or French across all dates will be searched in databases including CINAHL via EBSCO, PubMed, ProQuest, Scopus, Web of Science and Dissertations and Theses Global. Following the search, all titles and abstracts will then be assessed against the inclusion criteria for the review. Potentially relevant papers will be assessed in detail against the inclusion criteria. The data extracted will include geographic location, service under study, analytic methodology, data included, and specifics of the spatial models employed.