bluuebunny/crossref_metadata_2025 huggingface dataset:
Coptis Chinensis Franch: Substance Basis, Mechanism of Action and Quality Control Standard Revealed Based on the Q-marker Concept and New Strategy of Systemic Pharmacology and Biosynthesis Research
Authors: Zheng Yating , Zhang Mengyu , Wu Xiaoqing , Tan Rui , Jiang Hezhong
Published: August 2024

:

Coptis chinensis Franch. (Ranunculaceae, Coptis), a traditional Chinese medicine
(TCM) with thousands of years of clinical use history, also a natural medicine available in many
countries, has wide pharmacological mechanisms and significant bioactivity according to its traditional
efficacy combined with modern scientific research. The quality marker (Q-marker) of C. chinensis
Franch. is predicted in this paper based on the chemical composition and pharmacological
effects of the plant, as well as the current system pharmacology, plant relatedness, biosynthetic
pathways and quantitative analysis of multi-components (QAMS).

:

Natural medicine has the advantage of being multi-component, multi-pathway and multi-target.
However, there are few reports on safety evaluation. This review predicts the Q-marker of C. chinensis,
the safety and efficacy of C. chinensis is provided.

:

Studies from 1975 to 2023 were reviewed from PubMed, Elsevier, ScienceDirect, Web of Science,
SpringerLink, and Google Scholar.

:

Alkaloids and organic acids are the two main component categories of Q-Markers. The specific alkaloids
identified through predictive results include berberine, coptisine, palmatine, epiberberine,
jatrorrhizine, columbamine, and berberrubine. Quinic acid and malic acid, due to their influence
on the content of alkaloids and their ability to aid in identifying the active components of C. chinensis,
are also considered Q-markers.

:

The research strategy of “exploring chemical components, exploring pharmacological activities,
constructing pharmacological mechanism network and locating biosynthetic pathways” was used
to accurately screen the quality markers of C. chinensis in this review and summarise the quality
evaluation methods and criteria. In addition, we updated the biosynthetic pathway of C. chinensis
and refined the specific synthetic pathways of jatrorrhizine (quality markers) and epiberberine
(quality markers). Finally, we summarised the quality evaluation methods of C. chinensis, which
provide an important reference for resource evaluation and provide a key reference for the discovery
of new functional chemical entities for natural medicines.
Evaluation of Thiazolidine Derivatives with Potential Anti-ZIKV Activity
Authors: Calado Gonçalves Sayonara Maria , Vieira Galdino Lília , Costa Lima Morganna , da Silva Moura José Arion , Francisco Viana Douglas Carvalho , da Rosa Michelle Melgarejo , Rebello Ferreira Luiz Felipe Gomes , Zaldini Hernandes Marcelo , Cristiny Pereira Michelly , de Melo Rêgo Moacyr Jesus Barreto , da Rocha Pitta Ivan , de Oliveira França Rafael , da Rocha Pitta Marina Galdino , da Rocha Pitta Maira Galdino
Published: August 2024

Objective:

In this study, we have synthesized 19 Thiazolidine (TZD) derivatives to investigate
their potential anti-ZIKV effects.

Methods:

Nineteen thiazolidine derivatives were synthesized and evaluated for their cytotoxicity
and antiviral activity against the ZIKA virus.

Results:

Among them, six demonstrated remarkable selectivity against the ZIKV virus, exhibiting
IC50 values of <5μM, and the other compounds did not demonstrate selectivity for the virus. Interestingly,
several derivatives effectively suppressed the replication of ZIKV RNA copies, with derivatives
significantly reducing ZIKV mRNA levels at 24 hours post-infection (hpi). Notably, two
derivatives (ZKC-4 and -9) stood out by demonstrating a protective effect against ZIKV cell entry.
Informed by computational analysis of binding affinity and intermolecular interactions within
the NS5 domain's N-7 and O'2 positions, ZKC-4 and FT-39 displayed the highest predicted affinities.
Intriguingly, ZKC-4 and ZKC-9 derivatives exhibited the most favorable predicted binding
affinities for the ZIKV-E binding site.

Conclusion:

The significance of TZDs as potent antiviral agents is underscored by these findings,
suggesting that exploring TZD derivatives holds promise for advancing antiviral therapeutic strategies.
Copper Electrodes Modified with Gold Nanoparticles Detect Two
Hazardous Contaminants (As, Cd) in Raw Milk
Authors: Das Upama , Daimari Nikhil Kumar , Islam Khairul , Biswas Rajib
Published: August 2024

Background:

Milk contamination has been a longstanding global concern, with Heavy
Metals (HM) like lead (Pb), mercury (Hg), arsenic (As), and cadmium (Cd) posing significant risks.
These contaminants often infiltrate milk through contaminated water sources or during pasteurization.
This petent introduces a novel approach to detecting milk contaminants by analyzing the current–
voltage (I-V) characteristics of copper (Cu) electrodes modified with gold nanoparticle
(AuNPs).

Methods:

Leveraging the exceptional conductivity of metal nanoparticles, electrons freely traverse
the surface, facilitating electron movement across the copper substrate. Additionally, the nanoparticles
serve as binding agents, aiding in the comparative detection of contaminants. This method enables
the preliminary detection of two HM (As, Cd) by evaluating their current gains in milk supernatant
samples at varying concentrations.

Results:

AuNPs deposited on Cu electrodes exhibited a linear I-V trend, with a significant increase
in current compared to bare electrodes. Spiked milk supernatant drop cast on the electrode system
displayed a current gain, which was evaluated towards sensing application of HM ions in milk. The
synthesized AuNPs underwent initial characterization using a UV-Vis spectrophotometer, revealing
a prominent plasmonic peak around 520 nm, confirming nanoparticle formation. X-Ray Diffraction
(XRD) analysis confirmed the Face-Centred Cubic (FCC) crystal structure.

Conclusion:

Notably, different concentrations (1 and 10 ppm) and types of HM (As, Cd, Hg, and
Pb) in milk supernatant yielded varying current gains, providing insights specifically targeting As
and Cd contamination.
Plant-aided Biosynthesized Heterogeneous Palladium Nanoparticles-Catalyzed Suzuki Coupling Reaction: A Review
Authors: Badade Sushil M. , Varale Amit S. , Thopate Shankar R. , Manjare Satish B.
Published: August 2024

Plant-aided biosynthesis of palladium nanoparticles is a necessity nowadays to avoid toxic
chemicals used in the synthesis of palladium nanoparticles in traditional methods. Palladium nanoparticles
are used as a catalyst in the Suzuki coupling reaction. Traditional synthesis of palladium
nanoparticles uses harmful chemicals, reducing agents, and solvents, creating toxic byproducts. The
Suzuki coupling reaction is a key step in the formation of C-C bonds in organic synthesis. The Suzuki
coupling reaction has numerous applications in the synthesis of pharmaceuticals, agrochemicals,
etc. So, there is scope for developing an environmentally friendly and low-cost palladium nanoparticle
catalyst for the Suzuki coupling reaction that reduces environmental pollution. The traditional
Suzuki coupling reaction requires expensive and toxic ligands, solvents, and bases and also produces
toxic byproducts. In this review article, we focus on plant-assisted biosynthesis methods for the production
of palladium nanoparticles and their applications for the Suzuki coupling reaction.
Evaluating the Prognostic Significance of Hepatic Marker Variations in COVID-19 Patients: A Cross-Sectional Analysis in Sabzevar, Iran
Authors: Sharifi Dalouei Seyed AminReza , Molavi Mehdi , Amin Bahareh , Amiri Parastoo , Mahdavifar Neda
Published: August 2024

Background:

Since the emergence of COVID-19 in early 2020, increased hepatic markers
have been reported, indicating potential vulnerability and predictive value for patient outcomes.
Hence, this study investigated the impact of COVID-19 on liver function markers and their association
with clinical outcomes.

Methods:

In this cross-sectional study, 392 PCR or CT-Scan confirmed COVID-19 patients from
Sabzevar and Mashhad, Iran, were categorized into outpatients, mild-to-moderate, and severe hospitalization
groups. Liver enzymes, including AST, ALT, and ALP, were measured, and their associations
with disease severity and outcomes were analyzed.

Results:

Of the participants, 130 were outpatients, and 262 were hospitalized, with a higher male
predominance in severe cases. Inpatients showed significantly elevated ALP compared to outpatients.
Severe inpatients exhibited higher initial blood sugar levels and longer hospital stays. Elevated
AST and ALT levels were notable in ICU admissions and patients requiring mechanical ventilation.
A significant difference in pre-admission AST levels was observed between deceased and recovered
patients. No correlation was found between liver enzymes and factors like gender, blood oxygen
level, respiratory rate, fever, and BMI.

Conclusion:

Elevated liver enzymes, particularly AST and ALT, are indicative of COVID-19 severity
and can predict the need for intensive care and mechanical ventilation. AST levels may also serve
as a prognostic marker for patient outcomes. These findings highlight the importance of monitoring
liver function in COVID-19 management.
Novel Approaches of Inhalational Therapy for COVID-19: Drugs to Vaccines
Authors: Bramhe Pratiksha , Waghmare Suchita , Rarokar Nilesh , Potey Lata , Dibbe Bhupendra , Sable Prafulla , Khedekar Pramod , Sabale Vidya , Prajapati Bhupendra
Published: August 2024

Inhalational therapy has emerged as a pivotal modality in the management of COVID-19,
offering targeted and efficient delivery of pharmaceutical agents directly to the respiratory system.
This paper provides a comprehensive overview of the diverse inhalational approaches employed in
the treatment of COVID-19, ranging from nebulizers to nasal sprays. The various mechanisms of
action, efficacy, and safety profiles of various inhalational treatments, considering both antiviral
medications and supportive therapies. The evolution of inhalational therapy during the course of the
pandemic is also mentioned in this review, emphasizing the continuous efforts to optimize delivery
methods and enhance patient outcomes. Furthermore, the paper addresses the challenges associated
with implementing inhalational therapies on a global scale, considering factors such as accessibility,
affordability, and regulatory considerations. By giving special emphasis on current research and
clinical experiences, this review contributes to a deeper understanding of the role of inhalational
therapy in combating COVID-19 patients with multiple infections like DM and hypoglycemia.
Quantification Tests for Carbohydrate Detection
Authors: Sarkar Mrittika , Sah Anshika , Agarwal Payal , Joshi Sai , Hait Sinchan
Published: August 2024

Quantification of carbohydrates by the anthrone method is a colourimetric
assay. In this method, first, the complex carbohydrates are hydrolysed in a highly
acidic medium, resulting in monosaccharides. Thereafter, these monosaccharides are
dehydrated to form 5-hydroxymethylfurfural (5-HMF) or 2-furfural (2-F), followed by
reacting with anthrone reagent. This reaction produces a blue-green complex which is
colourimetrically determined. In DNSA method 3,5-dinitrosalicylic acid (DNSA), a
yellow colour reagent reacts with reducing sugar’s carbonyl group and forms orangered colour compound 3-Amino-5-nitrosalicylic acid (ANSA). The quantity of
carbohydrate present in a sample is determined by Beer-Lambert’s law. Apart from
these techniques Folin-Wu, Hexokinase, Phenol-Sulphuric acid, Somogvi-Nelson, and
GOPOD method are discussed in this chapter in detail.
Protein Determination by SDS-PAGE
Authors: Joshi Sai
Published: August 2024

SDS-PAGE is the abbreviated form of sodium-dodecyl sulphatepolyacrylamide gel electrophoresis. It is a commonly used gel electrophoresis for the
qualitative estimation of proteins. It is based on the principle that treatment of protein
with SDS, an anionic detergent, causes a constant negative charge throughout the
protein surface. It also breaks the protein chain into smaller peptide chains. Hence, the
separation of proteins is solely based on the size and shape of the fragments generated
and is independent of the charge of the protein. This, combined with polyacrylamide
gel electrophoresis, allows for visualization of these fragments where the smaller
fragments retain at the bottom of the gel. This method has been discussed in detail in
this chapter.
Hybrid Approach to Text Translation in NLP Using Deep Learning and Ensemble Method
Authors: Singh Richa , Kashyap Rekha , Srivastava Nidhi
Published: August 2024

The major aim of AI is to enable robots to understand and interpret human
discourse. Deep learning algorithms have considerably enhanced natural language
processing, enabling it to do cutting-edge tasks like sentiment analysis, machine
translation, and question answering. This paper offers a summary of current deep
learning-based NLP research. The essential ideas of DL and its applications in
language processing are initially introduced in this paper. It then reviews recent
research in NLP, focusing on five major areas, including the modelling of languages,
translation of languages, sentiment analysis, chatbots for queries, and generating text.
For each area, the main techniques and models used, advantages, limitations, recent
advancements, and future research directions are discussed. This paper concludes by
discussing the challenges and providing a solution where in an image, the text is
extracted in various ways and made in an appropriate format by using a deep learning
approach. To further improve the translation quality, utilize an ensemble method that
combines the outputs from multiple translation models trained using different
architectures and parameters and highlights the potential impact of these advances in
real-world applications.
The Machine Translation Systems Demystifying the Approaches
Authors: Attri Shree Harsh , Kumar Tarun
Published: August 2024

The world has many languages, each with its own unique structure in terms
of vocabulary and syntax. With the rise of the Internet, communication between people
from diverse cultures has become more common, necessitating the need for
instantaneous translation. Since human translators cannot be available at all times for
every language, the demand for effective automatic translation has grown, which
should be cost-effective and immediate. Machine Translation (MT) systems aim to
interpret one language into another by identifying and translating morphological
inflections, Part of Speech (PoS), and word order according to the language's structure.
MT is an interdisciplinary research field that combines artificial intelligence (AI),
linguistics, and grammar engineering (GE), and has been around for almost five
decades. Every language has its unique structure, consisting of phonemes, morphemes,
lexemes, grammar, and context, along with semantics and pragmatics, which work
collectively for effective communication. The Google Translate tool can translate over
100 languages in both directions. MT systems can be bilingual or multilingual,
depending on whether they interpret a single pair of languages or more than one pair of
languages. They can also be unidirectional or bidirectional, depending on whether they
translate in one direction only or in both directions.
Text Extraction from Blurred Images through NLP-based Post-processing
Authors: Ranjan Arti , Ravinder M.
Published: August 2024

Text extraction from blurred images is a difficult task in the field of
computer vision. Traditional image processing methods often fail to accurately extract
text from images with low resolution or high levels of noise. In the last few years, NLP
techniques have been applied to improve the accuracy of text extraction from blurred
images. This book chapter explores the use of NLP-based post-processing techniques
to improve the quality of text extraction from blurred images. The chapter first
provides an overview of traditional text extraction methods and the challenges
associated with extracting text from blurred images. It then discusses the use of NLP
techniques for improving the accuracy of text extraction. The chapter also explores the
use of machine learning algorithms, such as convolutional neural networks, to enhance
the performance of NLP-based post-processing techniques. Finally, the chapter
provides a case study demonstrating the effectiveness of NLP-based post-processing
techniques in improving text extraction from blurred images.
Speech-to-Sign Language Translator Using NLP
Authors: Harit Vibhor , Sharma Nitin , Tiwari Aastha , Yadav Aditya Kumar , Chauhan Aayushi
Published: August 2024

Communication plays a vital role in people’s life and is regarded an
important skill in life. A large number of people with speech and hearing impairment in
our country use Indian Sign Language (ISL) as their primary mode of communication.
Sign language is a non-verbal communication system in which people communicate by
only using their visual sign patterns to express their meaning. Sign language serves as
the primary mode of communication for individuals with speaking and/or hearing
disabilities. However, due to limited proficiency in sign language among a substantial
portion of the population, the Speech to Sign Language Translator emerges as a
potential solution for effective communication among those unfamiliar with sign
language. This translator employs machine learning techniques and a trained dataset to
convert text and speech input in English into expressive actions and gestures of the
standard Indian sign language, as performed by an animated avatar on the webpage [1].
The audio-to-sign language translator utilizes natural language processing techniques
implemented in Python, employing machine learning algorithms for model training,
and leveraging full-stack development technologies to construct the web page interface
and embed the trained model. This tool offers convenience and real-world
interpretability, enabling more efficient communication with individuals lacking sign
language fluency. Future advancements can enhance this technology to support
multiple languages worldwide, enabling the translation of text or speech into their
respective sign languages. Consequently, the Sign Language Translator functions as a
communication tool and assumes the role of a comprehensive 'bilingual dictionary
webpage' for individuals with speaking or hearing disabilities.
Recent Challenges and Advancements in Natural Language Processing
Authors: Gurung Gagan , Shah Rahul , Jaiswal Dhiraj Prasad
Published: August 2024

In a recent development, Natural Language Processing has gained
tremendous momentum and is one of the important areas of data science. It is a subset
of Artificial Intelligence that translates the human understanding of language into a
machine-understandable form and supports to accomplish repetitive jobs such as
summarization, machine translation, etc. The use of NLP has multiplied since the
development of AI bots like Alexa, Cortana, Siri, and Google Assistant. Along with
numerous advancements from major corporations like Google, NLP has seen
improvements in accuracy, speed, and even strategies that are used by computer
scientists to handle challenging issues. Here are some of the important trends projected
to dominate in the coming years for Natural Language Processing. With the growing
need and demand for Artificial Intelligence, Machine Learning is projected to play a
vibrant role, particularly in text analytics. With the help of supervised and unsupervised
machine learning, a more thorough analysis can be done in the near future. The use of
social media can be seen as one of the major platforms for all companies to make their
decisions and can take a very significant role in it. With the help of many NLP tools,
the company can identify customer reviews, feedback, and responses on social media.
NLP is also anticipated to increase in popularity in fields that require the ability to
comprehend user intent, such as semantic search and intelligent chatbots. The
abundance of natural language technologies is anticipated to survive to shape the
communication capability of cognitive computing along with the expanding application
of deep learning and machine learning.
Hormonal Imbalances and Genetic Factors in Menstrual Cycle Irregularities
Authors: Chandel Shobhini , Das Saumya , Ojha Smriti , Pandey Manisha
Published: August 2024

The menstrual cycle refers to the hormone-related, rhythmic, repeating
processes in a woman's body that are accompanied by monthly bleeding. A woman's
body goes through changes during her menstrual cycle that are intended to establish the
perfect conditions for the start and continuation of her pregnancy. Basic biological
processes encompassing the ovary, anterior pituitary, cerebellum, and endometrial
make up the menstrual cycle. Environmental factors, including stress, intense exercise,
eating disorders, and obesity, can easily disturb the menstrual cycle, even with all of its
complexity. Genetic issues include fragile X permutations, X chromosomal
abnormalities, and point mutations in the enzyme galactose-1-phosphate
uridyltransferase (GALT) (galactosemia), which can potentially interfere with the
menstrual cycle. The intricate surge and variations in a variety of distinct reproductive
hormones control the menstrual cycle. Together, these hormones help a woman's body
get ready for pregnancy. The hypothalamus and pituitary gland regulate six important
hormones, and the hypothalamus also secretes GnRH. FSH and luteinizing hormone
LH are both a result of pituitary production when GnRH is present in the body. Under
the direction of FSH and LH, the ovaries release testosterone, progesterone, and
estrogen, as well as other hormones. The development of menstruation function is
influenced by the start of puberty (adolescence). Menarche, or the onset of the first
period, often occurs between the ages of 11 and 14 years, following which the
menstrual cycle becomes regular for 1 to 1.5 years. Adolescent girls frequently
experience menstrual issues, with an average occurrence rate of about 50%. These
issues include amenorrhea, dysmenorrhea, premenstrual syndrome, and irregular
uterine bleeding. While the majority of problems are minor—such as variations in
period duration and flow—on occasion, they may be sufficiently serious to require
hospitalization, especially in the instance of extreme malfunctioning uterine bleeding.
Cervical Cancer: Basic Information and Comprehensive Control
Authors: Sharma Nisha , Upadhyay Swarnakshi , Gupta Prakash Chandra , Kalpana  , Katiyar Pratima
Published: August 2024

Cervical cancer, which epidemiologically resembles a non-infectious form
of venereal disease, is a predominant contributor to cancer-related deaths in females
across the globe. The HPV-16 and HPV-18 strains of the human papillomavirus, as
well as STDs, are the prime causes of cervical cancer. In low-income female
communities, it ranks as the second most frequent malignancy. Primary, secondary, and
tertiary preventative strategies are included for the management of cervix cancer. The
primary defense against cervical cancer includes guarding against HPV infection. One
of the key preventative strategies for cervical cancer involves immunizing females
between the ages of 9 and 14 with the HPV vaccine before they begin sexual activity.
Secondary cervical cancer prevention requires examination and a chemotherapy
regimen. Testing asymptomatic females in the target population (pre-cancer risk for the
cervix) is a component of determining the susceptibility to cervical carcinoma. Tertiary
disease prevention includes the provision of palliative care and treatments for cervical
cancer. Tertiary care encompasses surgical interventions, radiation treatment,
chemotherapy, and supportive care for patients. To ensure that the community takes
responsibility for preventing the incidences of cervical cancer, community
mobilization, awareness of health, and counseling are essential. It is important to
routinely monitor and assess key program indicators for cervical cancer prophylaxis
and curb it.
Licorice: Evaluation of Phytochemical Neuropharmacological Profile and Drug Interactions with a Focus on Gut Microbiota
Authors: Akbaş Melike Nur , Samur Dilara Nemutlu , Aksoyalp Zinnet Şevval
Published: August 2024

Licorice, derived from the dried roots and rhizomes of Glycyrrhiza uralensis
Fisch., Glycyrrhiza inflata Bat. or Glycyrrhiza glabra L., has been utilized in
Traditional Chinese Medicine for centuries. Licorice serves not only as a sweetener,
but also as a remedy for various ailments, including cough, fever, pain, heartburn,
kidney stones, and skin ulcers. Glycyrrhizin is a major compound of licorice that
contains high amounts of flavonoids, saponins, triterpenes, isoflavonoids, and
chalcones. The gut microbiota contains trillions of microorganisms in the
gastrointestinal system, and the balance/imbalance of gut microbiota composition is
related to healthy state and disease susceptibility. Moreover, gut microbiota plays a
pivotal role in the metabolism of herbal medicines. Following ingestion, glycyrrhizin
undergoes conversion by gut microbiota, resulting in the formation of 18βglycyrrhetinic acid (GA). Notably, GA represents a bioactive form of glycyrrhizin,
responsible for both the pharmacological effects and adverse reactions associated with
licorice. Conversely, oral administration of herbal medicines, including licorice, may
impact the gut microbiota composition. Licorice and its metabolites possess the
potential to modulate the abundance of gut microbiota members. This chapter aims to
explore the intricate relationship between licorice and gut microbiota while specifically
evaluating the effects of licorice and gut microbiota on neurodegenerative diseases
such as Parkinson's and Alzheimer's diseases. Additionally, we provide a
comprehensive summary of the adverse effects of licorice and its potential interactions
with other drugs. Further studies focused on elucidating the interplay between licorice and gut microbiota will improve our understanding of the neuropharmacological profile
and adverse effects of licorice, thus facilitating the development of novel treatment
approaches using licorice.
O Impacto do Inbound Marketing na conversão de leads em oportunidades de vendas em um funil B2B ao longo do tempo
Authors: Araujo Cristiane Gontijo , Christino Juliana Maria Magalhães
Published: August 2024

This study aimed to prove if the practice of Inbound Marketing, anchored in the Digital Content Marketing strategy and its respective online media campaigns, influenced the stage change from a qualified lead to a sales opportunity in a B2B funnel over time. The data comprised the period between March 2018 and February 2020 and were analyzed using Cox Regression, as it is a suitable method for explaining the influence of independent variables on the occurrence of an event over time. Each conversion type was analyzed as an independent variable, considering top, middle, and bottom of funnel content and owned, earned, and paid media, in addition to imported lead. All variables impacted the analyzed funnel except for the variables conversion to mid-funnel contentand conversion via owned media. There is an expectation that this study will contribute to the understanding of this marketing practice, collaborating both from a theoretical perspective, especially B2B and Digital Marketing, through the results found andfrom a managerial perspective, with insights for a correct allocation of marketing resources.
A importância de informar através de observatório virtual nas áreas de mediação intercultural e negociação internacional: o observatório mini-mundo
Authors: Oliveira Alia Farias Costa de , Satur Roberto Vilmar
Published: August 2024

The Observatory of Intercultural Mediation and International Negotiations (MINI-Mundo) is a space created for the diffusion of existing knowledge and advances in the academic and professional sphere in the areas of intercultural mediation and internationalnegotiation in society and in the market with its dissemination aimed at: students, recent graduates, market professionals, researchers, scholars and enthusiasts in the area. Among the project's objectives, that has already been achieved, was the creationof the Observatory. Other objectives and actions involved the mapping of research groups active in the area, the identification of publications, events, news and relevant content in the areas, these surveys need to be constantly updated. This work has also been done, but it is one that requires constant updating because there is always something new in the area. Through qualitative methodology, of bibliographic nature and mainly with telematics and web research, the Observatory is managing to achieve the proposed purpose. As main results, the public has a space (website) with easily accessible information and that is constantly being updated and adapted taking into account the news and trends coming from the professional market in the area. The idea is to increasingly promote the approximation and collaboration between the academy and the profession (market) as a way of integrating theory and praxis, aiming at better professional affirmation and greater dissemination of knowledge in the area.
KADINLARIN AİLE İÇİ ŞİDDET FARKINDALIĞI, ŞİDDETE YÖNELİK TUTUMLARI VE BAŞA ÇIKMA TUTUMLARININ DEĞERLENDİRİLMESİ
Authors: İnel Manav Ayşe , Atik Derya , Coşkun Ejdane , Bozkurt Tonguç Adile
Published: August 2024

Amaç: Kadınların aile içi şiddet farkındalığı, şiddete yönelik tutumları ve başa çıkma tutumlarının değerlendirilmesi amaçlanmaktadır.
Yöntem: Tanımlayıcı, kesitsel tipte olan araştırma 01.07.2021-30.01.2022 tarihlerinde, Osmaniye merkez ilçesinde bulunan İl Sağlık Müdürlüğüne bağlı bir Aile Sağlığı Merkezine kayıtlı 410 kadın ile gerçekleştirilmiştir. Veriler Kişisel Bilgi Formu, Aile İçi Şiddet Farkındalığı Ölçeği (AİŞFÖ), İskebe Kadına Yönelik Şiddet Tutum Ölçeği (İKŞTÖ) ve Başa Çıkma Tutumlarını Değerlendirme Ölçeği (COPE) kullanılarak toplanmıştır. Verilerin değerlendirilmesinde tanımlayıcı istatistikler, bağımsız gruplarda Mann Whitney U testi ve Kruskal Wallis testi ayrıca Spearman Rho korelayon testi ve Çoklu Lineer Regresyon analizi kullanılmıştır.
Bulgular: Çalışma da kadınların AİŞFÖ puan ortalaması 37,82±5,08, İKŞTÖ puan ortalaması 133,7±20,54, COPE ölçeği puan ortalaması 85,62±14,99 olarak bulunmuştur. Kadınların BÇTÖ toplam puan ortalamaları ile AİŞFÖ ve İKŞTÖ toplam puan ortalamaları arasında pozitif yönde anlamlı bir ilişki vardır (p <0,001) (r = 0,105, 0,194). Kadınların başa çıkma tutumları ile aile içi şiddet farkındalıkları ve şiddete karşı tutumları ve alt boyutlarından bedene yönelik tutumlar (fiziksel/cinsel şiddet boyutu) arasında pozitif yönlü bir ilişki olduğu görülmektedir (p<0,001) (r =0,105, 0,194).
Sonuç: Katılımcıların kadına yönelik aile içi şiddet farkındalıklarının orta düzeyin üzerinde olduğu ve kadına şiddete karşı oldukları görülmektedir. Kadınlarda aile içi şiddet farkındalığı ve şiddete karşı tutumlarının başa çıkma tutumlarını geliştirdiği sonucuna varılmıştır.
Pengaruh Pemberian Selenium dan Vitamin E Terhadap Kualitas Spermatozoa Pada Kambing Pejantan Jawarandu (Capra aegagrus hircus)
Authors: Murdiyanti Repti Ani , Nurdayati Nurdayati , Pranatasari Dewi
Published: August 2024

Keberhasilan perkawinan kambing pejantan salah satunya dapat dilihat dari kualitas spermatozoa yang dihasilkan. Kualitas spermatozoa pejantan unggul tidak terlepas dari kebutuhan mineral yang dapat mendorong kualitas spermatozoa menjadi baik. Penelitian ini untuk mengetahui pengaruh pemberian Selenium dan Vitamin E terhadap kualitas spermatozoa oleh kambing pejantan Jawarandu. Rancangan percobaan pada penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan 3 perlakuan dan 6 ulangan menggunakan One-way Anova dan Kruskall Wallis. Penelitian ini menggunakan kambing sebanyak 18 ekor, dengan perlakuan injeksi selenium 1,5 mg dan vitamin E 50 mg dengan dosis yang berbeda, yaitu : P0 sebagai kontrol, P1 diberikan 5 ml, dan P2 diberikan sebanyak 7 ml selama 3 minggu dengan injeksi seminggu sekali secara berurutan. Parameter yang diamati dalam penelitian ini lain adalah volume, pH, warna, motilitas massa, viabilitas, konsentrasi, dan abnormalitas. Penelitian ini memberikan hasil signifikan (P<0,05) yakni terhadap konsentrasi dan abnormalitas dengan konsentrasi 2101 Ã— 106/ml dan abnormalitas 9,27%. Hasil penelitian menunjukkan bahwa injeksi selenium dan vitamin E sebanyak 7 ml dapat meningkatkan konsentrasi spermatozoa dan menurunkan abnormalitas spermatozoa.
Analisis Komparasi Rumus Djagra Dalam Memperkirakan Bobot Badan Ternak Sapi Bali (Studi Kasus Di UPTD. BPTHMT Serading)
Authors: Mawaddah Uswatun , Sudirman Sudirman , Amrullah Amrullah , Budiman Cecep , Yani Ahmad
Published: August 2024

Sapi Bali (Bos javanicus domesticus) memiliki nilai ekonomi penting di Indonesia sebagai penghasil daging. Produktivitas ternak dapat dilakukan. mengetahui Ukuran-ukuran tubuh ternak sangat penting sebagai kriteria dalam mengestimasi bobot badan ternak secara efisien dan akurat. Penelitian ini bertujuan untuk menganalisis keakuratan rumus Djagra dalam menentukan bobot badan sapi Bali dibandingkan dengan penimbangan langsung serta faktor-faktor yang memengaruhi akurasinya. Menggunakan sampel 40 ekor sapi terdiri dari 10 ekor sapi jantan dewasa (umur 3-5 tahun), 10 ekor sapi betina dewasa (umur 4-6 tahun), 10 ekor sapi jantan muda (umur 1-2 tahun), dan 10 ekor sapi betina muda (umur 1-2 tahun). di UPTD BPTHMT Serading, Kabupaten Sumbawa. Hasil analisis kuantitatif menggunakan SPSS versi 27 menunjukkan persentase penyimpangan bobot badan sapi Bali dewasa jantan (SP1) sebesar 4,5% dan persamaan regresi linear sederhana (Y) = -12,572 + 0,999, jantan muda (SP2) 2,46% dan Persamaan Regresi Linear (Y = 15,645 + 0,856, betina dewasa (SP3) 9,04% dan persamaan regresi linear (Y) = 84,028 + 0,532, dan betina muda (SP4) 3,25% dan Persamaan Regresi Linear (Y)= 33,355 + 0,652 + 25,929. Hasil analisis kuantitatif menunjukkan bahwa rumus Djagra cukup akurat dalam memperkirakan bobot badan sapi Bali, dengan perbedaan antara perkiraan rumus Djagra dan penimbangan langsung berada dalam skala 5%-10%. Korelasi positif kuat mengindikasikan rumus ini dapat menjadi alternatif efektif saat penimbangan langsung tidak memungkinkan. Analisis kualitatif menunjukkan faktor-faktor yang mempengaruhi bobot badan ternak sapi Bali seperti genetik (ternak) dan lingkungan (pakan, manajemen pemeliharaan, kesehatan, dan iklim).
A komplex prevenciós óvodai program hatása az óvodások egyensúlyfejlesztésére
Authors: Csirkés Zsolt , Budai Orsolya
Published: August 2024

A tanulmány célja annak vizsgálata, hogy egy két hónapos prevenciós mozgásfejlesztő program milyen hatással van az egészséges 6 éves óvodások statikus és dinamikus egyensúlyozó képességére. A vizsgálatban 44 óvodás kisgyermek vett részt, két csoportba osztva. A vizsgálati csoportba (n=21; átlagéletkor 6,06 ± 0,65) azok az óvodások kerültek, akik két hónapon keresztül heti 2x45 percben egy prevenciós óvodai mozgásprogram alapján fejlesztésben részesültek. A kontrollcsoport (n=23; átlagéletkor 6,05 ± 0,64) a fejlesztő tornára nem járó, csak a hagyományos óvodai testnevelési foglalkozáson részt vevő óvodásokból állt. A mozgásos intervenció előtt és után az óvodások statikus egyensúlyát az egy lábon, nyitott szemmel történő egyensúlyozás vizsgálatával (Standing Balance Test), míg a dinamikus egyensúlyozó képességét lefordított tornapadon történő egyensúlyozó járással mértük. Az eredményekből kiderült, hogy a két hónapos preventív óvodai program után a vizsgálati csoport mindkét egyensúlytesztnél jelentős javulást ért el. Összefoglalva, a Komplex prevenciós óvodai program hatékony lehet az óvodások statikus és dinamikus egyensúlyozó képességének fejlesztésére.
Sportban előforduló szorongás modellek és kezelésükre alkalmas sportpszichológiai intervenciók szakirodalmi áttekintése
Authors: Tóth Renátó , Tóth László
Published: August 2024

A sportpszichológia egyik legkutatottabb és legmegosztóbb területe a szorongás és annak kezelése versenysportolókban. Több sporttal kapcsolatos szorongás elmélet is létrejött az utóbbi évszázadban, amelyek közül napjainkban leginkább elfogadottak és alkalmazottak a multidimenzionális szorongás modellek. A teóriákkal összefüggésben különböző önbevallásos mérőeszközök, valamint a szorongás szabályozására irányuló beavatkozások is születtek. A fellelhető szakirodalom alapján napjainkban a leggyakrabban alkalmazott intervenciók a relaxációs technikák (autogén tréning, progresszív izomrelaxáció) és a mentális képességfejlesztő tréning (Psychological Skill Training – PST), ezen belül is a belső beszéd alapú technikák, valamint a kognitív és viselkedésterápia harmadik hullámához tartozó tudatos jelenlét (mindfulness) alapú programok. Jelen tanulmány fő célja, hogy szakirodalmi áttekintés segítségével összegezzük az elmúlt 6 év kutatásait és az alkalmazott beavatkozások hatékonyságát a sportolók szorongását illetően. A kiválasztott 10 nemzetközi tanulmány eredményei azt mutatják, hogy a belső beszéd és a mindfulness alapú intervenciókat vizsgáló tanulmányok többsége szignifikáns szorongás-csökkentést mutat, azonban a relaxációs technikákkal kapcsolatos kutatások kevésbé hatékonyak. Véleményünk szerint fontos lenne az alábbi intervenciók egységesítése és adaptálása kulturális különbségek figyelembevételével. Jelen tanulmány egyik jövőbeni továbbfejlesztésének lehetősége olyan szakirodalmi áttekintések készítése, amely, több a sportban még új keletű intervenciókat (pl. Racionális Emotív Viselkedésterápia, bio- és neurofeedback) is figyelembe vesznek.
Research Participants’ Engagement and Retention in Digital Health Interventions Research: Protocol for Mixed Methods Systematic Review (Preprint)
Authors: Terceiro Luciana , Mustafa Mudassir Imran , Hägglund Maria , Kharko Anna
Published: August 2024

BACKGROUND

Digital health interventions have become increasingly popular in recent years, expanding the possibilities for treatment for various patient groups. In clinical research, while the design of the intervention receives close attention, challenges with research participant engagement and retention persist. This may be partially due to the use of digital health platforms, which may lack adequacy for participants.

OBJECTIVE

This systematic literature review aims to investigate the relationship between digital health platforms and participant engagement and retention in clinical research. It will map and analyze key definitions of engagement and retention, as well as identify design characteristics that influence them.

METHODS

We will carry out a mixed methods systematic literature review, analyzing qualitative and quantitative studies. The search strategy includes the electronic databases PubMed, IEEE Xplore, CINAHL, Scopus, Web of Science, APA PsycINFO, and the ACM Digital Library. The review will encompass studies published between January 2018 and June 2024. Criteria for inclusion will be the presence of digital health care interventions conducted through digital health platforms like websites, web and mobile apps used by patients, and informal caregivers as research participants. The main outcome will be a narrative analysis with key findings on the definitions of participant engagement and retention and critical factors that affect them. Quality assessment and appraisal will be done through the Mixed-Methods Assessment Tool. Data analysis and synthesis will follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 flow diagram. Quantitative data will be qualified and integrated into qualitative data, which will be analyzed using thematic analysis and synthesis.

RESULTS

The study expects to map and summarize critical definitions of participant engagement and retention, and the characteristics of digital health platforms that influence them. The systematic review is expected to be completed in June 2025.

CONCLUSIONS

This systematic review will contribute to the growing discussion on how the design of digital health intervention platforms can promote participant engagement and retention in clinical research.

CLINICALTRIAL

PROSPERO CRD42024561650; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=561650

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/65099
Impact of Economic Deterioration on Mental Health During the COVID-19 Pandemic in Japan: Focus on the Protective Role of Social Support and Detrimental Effects of Negative Interactions (Preprint)
Authors: Hori Kentaro , Yamada Yosuke , Namba Hideyuki , Kimura Misaka , Fujita Hiroyuki , Date Heiwa
Published: August 2024

UNSTRUCTURED

Background: Reports have indicated that the socioeconomic impact of the spread of COVID-19 infection has severely impacted the mental health of individuals. However, it is unclear how the impact of deteriorating economic conditions on mental health varies with the amount of social support and negative interactions (eg, criticism and excessive demands from others) individuals have.
Objective: This study tested two hypotheses, focusing on the association between the worsening economic status due to COVID-19 and mental health. Hypothesis 1: The negative impact on mental health from worsening economic conditions caused by the spread of COVID-19 infection is exacerbated by the amount of social support an individual receives. Hypothesis 2: The negative impact on mental health from a deteriorating economic situation due to the spread of COVID-19 is exacerbated by a greater number of negative interactions.
Methods: Web-based surveillance was conducted by an Internet research company in Japan. The company recruited 3500 individuals from their active panels from June to July 2020; 250 men and 250 women were recruited for each of the following age groups—primary school students, 20s, 30s, 40s, 50s, 60s, and 70s. The analysis was conducted on men and women in their 20s to 50s (n=1549). The objective variable was measured using the K6 scale for psychological distress. The explanatory variable, economic deterioration due to COVID-19, was defined as economic deterioration due to COVID-19 if respondents indicated that their income had decreased compared to before the spread of COVID-19. In addition, social support and negative interaction scales were used. Logistic regression analysis was used, and the interaction between economic deterioration due to COVID-19 and social support and the interaction between economic deterioration due to COVID-19 and negative interaction were added sequentially to the model; a likelihood ratio test was used to assess the most improved model.
Result: In the significantly improved model, the interaction between economic deterioration due to COVID-19 and social support was significantly associated with K6 scores (Odds ratio 0.909, 95% CI 0.829-0.996). The average marginal effect of economic deterioration due to COVID-19 was calculated and the results revealed that social support scores ranging from 4 to 10 were statistically significant.
Conclusion: The negative effect of COVID-19-induced economic deterioration on mental health tended to be stronger with less support. Based on these results, Hypothesis 1 was supported.
Integrating Patient-Generated Health Data into Orthopaedic Care: A Qualitative Study on Early Adopter Experiences with Clinical Software (Preprint)
Authors: Katz Dmitri S. , Gooch Daniel , Price Linda , Rauf Irum , Pearce Oliver , Price Blaine
Published: August 2024

BACKGROUND

Patient-Generated Health Data (PGHD) has been recognized as a potential tool in transforming healthcare from clinician-centered to more patient-centered approaches. This transformation is driven by the potential of PGHD to provide deeper insights into patients' conditions, facilitate personalized care, improve patient quality of life, reduce inefficiencies in data collection, and empower patients. Yet, actual implementation within clinical settings is still at early stages, and therefore impacts on clinical care remain limited.

OBJECTIVE

This study sought to explore the benefits, challenges, and opportunities of integrating PGHD into orthopaedic care by analyzing the reflections of early adopter surgeons and physiotherapists, who have used a digital care management platform.

METHODS

This qualitative study employed thematic analysis of interviews conducted with surgeons and physiotherapists (n=9) from an early adopter unit using "mymobility" an industry produced software platform. The participants were recruited using snowball sampling, and interviews were conducted from June to July 2022. The interviews focused on current work practices, use of digital tools, experiences with PGHD, and experiences with the mymobility software. Thematic analysis was conducted using NVivo software, focusing on identifying key themes and insights

RESULTS

The study identified several benefits of integrating PGHD into orthopaedic care, including improved patient education, enhanced communication and assessment, and increased patient motivation and adherence. However, several challenges were also noted, such as increased clinician workload, questionable data utility, lack of patient centricity, and inability to tailor software to clinical contexts. Suggested opportunities included improving dashboard design, personalizing physiotherapy, and using collected data for improving clinical care.

CONCLUSIONS

The integration of PGHD into orthopaedic care shows promise, largely in areas suggested by literature. However, significant challenges remain. Future research should focus on addressing solvable challenges such as improving software user interface design and functionality, while embracing the possibility that some challenges lack clear solutions and will likely require careful balancing of design tensions. The findings highlight the need for ongoing development and refinement of PGHD-inclusive systems to better support clinical practice and patient outcomes.
Estudio de factores que acompañan las aspiraciones de jóvenes hidalguenses de emigrar a Estados Unidos
Authors: Ávila Sánchez María de Jesús , Jáuregui Díaz José Alfredo , Granados Alcantar José Aurelio
Published: August 2024

Ante un panorama económico adverso, jóvenes de contextos rurales e indígenas de Huasca de Ocampo, Pacula, Tasquillo e Ixmiquilpan tienen como opción de vida la migración. En esta investigación se explora su deseo de salir de sus lugares de origen y los factores que se asocian con esta expectativa. Los resultados muestran que una elevada proporción de jóvenes que desean emigrar son impulsados por patrones culturales de género, las redes familiares, el contexto geográfico y la evaluación ambivalente sobre el entorno; todos ellos factores que alimentan las aspiraciones de emigrar a Estados Unidos de América.