bluuebunny/crossref_metadata_2025 huggingface dataset:
Kastabala Antik Kentinde Kullanılan Kayaç Türleri ve Petrografik Özellikleri
Authors: Akyıldız Mustafa , Şimşek Emrah , Demir Faris
Published: July 2024

Kastabala Antik Kenti Türkiye’nin güney kesiminde Osmaniye şehrinin merkezine 25 kilometre mesafede bulunmaktadır. Antik kentte bulunan kayaçlardan yapılan petrografik incelemeler neticesinde olivinli mikro-gabro, granit, karbonatlı kumtaşı, breşik kireçtaşı, fosilli kireçtaşı, mikritik kireçtaşı, konglomera, çakıltaşı birimleri tanımlanmıştır. Bu kayaçlardan olivinli mikro gabro, granit ve breşik kireçtaşları genellikle sütunlarda kullanılmıştır. Amfi tiyatroda fosilli kireçtaşı, mikritik kireçtaşı ve amfi tiyatro kenarlarındaki duvarlarda karbonatlı kumtaşı kullanılmıştır. Bu kayaçların bölgesel jeoloji ile uyumluluk gösterdiği tespit edilmiş olup, antik kentin bulunduğu tepe ile yakınlardan getirilerek kullanılmıştır. Granit olarak tanımlanan kayaçların ise bölge jeolojisi içerisinde yer almamakta olup dışarıdan getirildiği sonucuna varılmıştır.
Tackling Environmental Problems from the Root: An Ibuanyidanda Perspective
Authors: Bisong Peter
Published: July 2024

There are series of reports in the media, books, conferences, symposia, et cetera of the deplorable condition of our natural environment. This crisis afflicting the environment occasioned by increasing human activities has reached the level that, the survival of the human species itself is threatened. Urgent remedies, therefore, need to be sought for. Though, many attempts have been made to remedy the situation, unfortunately environmental crisis continues to deepen, because the root problem (defective mindset) has not yet been fully tackled. This article presents an ethic from Asouzu’s Ibuanyidanda philosophy, which sees realities as missing links and argues that this ethic can guide human actions toward environmental sustainability. What could be garnered from Asouzu’s Ibuanynidanda philosophy is that environmental problems could be traced to defective mindsets that human beings are imbued with. Thus, unlike most other environmental ethical theories that aim at controlling human actions towards the environment, Ibuanyidanda theory believes the present environmental crisis could only be resolved if the root cause (the mind) is tackled. This is because, it is better to tackle the root cause of our negative actions (mind) than to concentrate on the actions themselves. When a change of our present divisive and hegemonic mindset, is thoroughly affected as prescribed by Ibuanyidanda philosophy, environmental sustainability instead of degradation would become the byproduct of our development.
Redes sociais no debate político: o Projeto de Lei n° 2.630/2020 como combate às fake news
Authors: Marinho de Araújo Mendes Guilherme , dos Santos Nascimento Silva Claudyvan José , Basso Ana Paula
Published: July 2024

O presente trabalho tem como objetivo analisar os reflexos das redes sociais no debate político brasileiro, bem como a regulação proposta pelo Projeto de Lei n° 2.630/2020, que propõe combater a propagação de “Fake News” na internet. Na democracia, a comunicação não é simplesmente mais uma interação humana, mas uma forma de poder. Assim, o discurso carrega uma carga política numa dinâmica entre oradores e ouvintes, formando auditórios que o orador busca persuadir. Na atualidade, com a evolução tecnológica, depara-se com a sociedade em rede, com interações que transcende fronteiras, e as redes sociais geram impactos na vida política. Fenômenos como “câmaras de eco”, bolha epistêmica e desordem informacional surgem no ambiente virtual e causam enfraquecimento da democracia, indagando-se sobre a necessidade de regular as redes sociais. Analisa-se então o Projeto de Lei n° 2.630/2020 por ter a proposta de certificar a transparência, a responsabilidade e a liberdade na internet. O trabalho tem como método o hipotético-dedutivo, de abordagem qualitativa, com análise documental e revisão bibliográfica. Conclui-se que as redes sociais possuem influência sobre a vida política e trata-se de uma nova realidade social que consequentemente demanda uma nova regulação específica. O PL n° 2.630/2020 demonstra-se apenas uma regulação inicial.
Value of Mac-2 Binding Protein Glycosylation Isomer (M2BPGi) in Assessing Liver Fibrosis in Metabolic Dysfunction-Associated Liver Disease: A Comprehensive Review of its Serum Biomarker Role
Authors: Sotoudeheian Mohammadjavad
Published: July 2024

Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) is a broad condition
characterized by lipid accumulation in the liver tissue, which can progress to fibrosis and cirrhosis
if left untreated. Traditionally, liver biopsy is the gold standard for evaluating fibrosis. However,
non-invasive biomarkers of liver fibrosis are developed to assess the fibrosis without the risk of
biopsy complications. Novel serum biomarkers have emerged as a promising tool for non-invasive
assessment of liver fibrosis in MAFLD patients. Several studies have shown that elevated levels
of Mac-2 binding protein glycosylation isomer (M2BPGi) are associated with increased liver fibrosis
severity in MAFLD patients. This suggests that M2BPGi could serve as a reliable marker for
identifying individuals at higher risk of disease progression. Furthermore, the use of M2BPGi offers
a non-invasive alternative to liver biopsy, which is invasive and prone to sampling errors.
Overall, the usage of M2BPGi in assessing liver fibrosis in MAFLD holds great promise for improving
risk stratification and monitoring disease progression in affected individuals. Further research
is needed to validate its utility in clinical practice and establish standardized protocols for
its implementation.
The Imidazacridine Derivative LPSF/AC-05 Induces Apoptosis, Cell Cycle Arrest, and Topoisomerase II Inhibition in Breast Cancer, Leukemia, and Lymphoma
Authors: de Oliveira Chagas Mardonny Bruno , Mendonca da Costa Valecia de Cassia , Montenegro Claudio , de Lima Maria do Carmo Alves , da Rosa Michelle Melgarejo , Pereira Michelly Cristiny , de Melo Rego Moacyr Jesus Barreto , da Rocha Pitta Maira Galdino
Published: July 2024

Introduction:

Cancer is one of the major causes of morbidity and mortality worldwide. Current treatments for both solid and hematological tumors are associated with severe adverse effects and drug resistance, necessitating the development of novel selective antineoplastic drugs

Methods:

The present study describes the antitumor activity of the imidazacridine derivative 5-acridin-9-ylmethylidene-2-thioxoimidazolidin-4-one (LPSF/AC05) in breast cancer, leukemia, and lymphoma cells. Cytotoxicity assays were performed in PBMC and in breast cancer, leukemia, and lymphoma cell lines using the MTT method. Changes in cell cycle progression and apoptosis were assessed using flow cytometry. Moreover, topoisomerase II inhibition assays were performed. LPSF/AC05 exhibited cytotoxicity in six of the nine cell lines tested.

Results:

The best results for leukemia and lymphoma were observed in the Toledo, Jurkat, and Raji cell lines (IC50 = 27.18, 31.04, and 33.36 M, respectively). For breast cancer, the best results were observed in the triple-negative cell line MDA-MB-231 (IC50 = 27.54 μM). The compound showed good selectivity, with no toxicity to normal human cells (IC50 > 100M; selectivity index > 3). Cell death was primarily induced by apoptosis in all cell lines. Furthermore, LPSF/AC05 treatment induced cell cycle arrest at the G0/G1 phase in leukemia/lymphoma and at the G2/M phase in breast cancer. Finally, topoisomerase II was inhibited.

Conclusion:

These results indicate the potential application of LPSF/AC05 in cancer therapy.
New Progress on DNA Primase Subunit Enzymes Research and Link to
Cancer Development and Treatment Approaches
Authors: Liu Bingbing , Yan Jingjing , Guo Zhanfei , Chen Xiaodan , Zhang Zhiwei
Published: July 2024

In eukaryotic cells, primases are the key polymerase during DNA replication and DNA
damage repair, which includes primase subunit 1 (PRIM1) and primase subunit 2 (PRIM2). Recent
studies reported that the aberrant expression and activity of PRIM enzymes are closely associated
with the carcinogenesis and development of various cancers. PRIM1 is overexpressed in hepatocellular
carcinoma, breast cancer, and other cancers, while PRIM2 is highly expressed in lung
cancer, gastrointestinal cancer, and other cancers. Further studies revealed that the knockdown of
PRIM1 promoted the apoptosis of liver cancer cells, while Dihydroartemisinin (DHA) can inhibit
PRIM2 expression, suppress lung cancer cell proliferation, and result in ferroptosis. The present review
summarized the recent advancements in the research of the aberrant expression of PRIM1
and PRIM2 and their activity in DNA replication, DNA damage repair, and carcinogenesis. Furthermore,
the strategies targeting PRIM1 or/and PRIM2 become potential therapeutic approaches
in cancer treatment.
Nano-Fortifying the Future Plate: A Critical Review of Nanotechnology
Applications in Food Enrichment
Authors: Pandey Parijat , Minocha Neha
Published: July 2024

Proportion of children globally experience dietary deficiencies, which have a negative
imp A considerable act on their physical and cognitive growth and heighten their vulnerability to
illnesses. In addition, undernutrition worsens the intensity of several infections, such as measles
and malaria. Food fortification is an important nutritional strategy that helps to combat micronutrient deficiencies and decrease their occurrence in many low- and middle-income nations. Although
there has been a significant rise in recent years, food fortification schemes have also encountered
considerable criticism from the scientific community. The present review aimed to clarify the actual influence of food fortification measures on the mitigation of malnutrition. A detailed review of
the current state of the art in nanotechnology applications for food enrichment is provided in this
manuscript. A comprehensive literature search was conducted utilizing databases such as Web of
Science/ Knowledge, Google Scholar, Elsevier ScienceDirect, and Springer Online Journals. The
search query included phrases such as food fortification, micronutrient shortages, fortified food,
the impact of food fortification, and food-to-food fortification. The paper discusses the nanostructures, such as nanoparticles, nanocapsules, and nanoemulsions, in encapsulating, delivering, and
safeguarding bioactive compounds within food matrices, with a particular emphasis on nanofortification. Recent advancements in nano-enabled food fortification are summarised in the manuscript,
which also identifies significant challenges and opportunities for future commercialization and research. Food fortification is essential for both developed and developing nations to ensure that processed foods contain the necessary nutrients, hence improving their nutritional value for human
consumption. Nanotechnology can be applied to enrich food by improving bioavailability and providing a delivery system for phytochemicals, vitamins, and minerals. This review enhances our
knowledge regarding the profound consequences it may have on the future of nutrition and food
technology.
The Value of Radiomics Features Based on HRCT in Predicting whether the
Lung Sub-Centimeter Pure Ground Glass Nodule is Benign or Malignant
Authors: Ping Xiaoxia , Liu Yuanqing , Hong Rong , Hu Su , Hu Chunhong
Published: July 2024

Objective::

In this study, a radiomics model was created based on High-Resolution Computed Tomography (HRCT) images to noninvasively predict whether
the sub-centimeter pure Ground Glass Nodule (pGGN) is benign or malignant.

Methods::

A total of 235 patients (251 sub-centimeter pGGNs) who underwent preoperative HRCT scans and had postoperative pathology results were
retrospectively evaluated. The nodules were randomized in a 7:3 ratio to the training (n=175) and the validation cohort (n=76). The volume of
interest was delineated in the thin-slice lung window, from which 1316 radiomics features were extracted. The Least Absolute Shrinkage and
Selection Operator (LASSO) was used to select the radiomics features. Univariate and multivariable logistic regression were used to evaluate the
independent risk variables. The performance was assessed by obtaining Receiver Operating Characteristic (ROC) curves for the clinical, radiomics,
and combined models, and then the Decision Curve Analysis (DCA) assessed the clinical applicability of each model.

Results::

Sex, volume, shape, and intensity mean were chosen by univariate analysis to establish the clinical model. Two radiomics features were retained by
LASSO regression to build the radiomics model. In the training cohort, the Area Under the Curve (AUC) of the radiomics (AUC=0.844) and
combined model (AUC=0.871) was higher than the clinical model (AUC=0.773). In evaluating whether or not the sub-centimeter pGGN is benign,
the DCA demonstrated that the radiomics and combined model had a greater overall net benefit than the clinical model.

Conclusion::

The radiomics model may be useful in predicting the benign and malignant sub-centimeter pGGN before surgery.
A Critical Review on Glycosaminoglycan Derived Polymers as a Novel
Drug Delivery System in Tissue Engineering: Recent Advancement and
Clinical Application
Authors: Tripathi Abhishek , Vaishnaw Bharti , Jaishwal Peeyush , Samal Pradeep , Verma Amit , Singh Neelesh
Published: July 2024

Glycosaminoglycans (GAGs), natural components of the extracellular matrix, exert significant influence over cellular function and regulate the microenvironment surrounding cells. This characteristic makes them promising targets for therapeutic intervention across a spectrum of diseases. In
the realm of medical research, there has been a longstanding quest for precise and targeted drug delivery methods to mitigate adverse effects and enhance the efficacy of treatments for conditions, such
as wounds, cancer, and organ disorders. However, implementing a systemic delivery approach, particularly for protein-based therapeutics, poses challenges. Addressing this challenge requires the development of biocompatible materials capable of efficiently encapsulating and releasing therapeutic
proteins. GAGs emerge as promising candidates possessing these desirable attributes, given their bioderived nature and ability to modulate biological responses. Within the realm of GAGs, various linear
polysaccharides exhibit diverse functionalities and payloads. Notably, hyaluronic acid (HA) and
chondroitin sulfate (CS) have been utilized as polysaccharide-based biomaterials for drug delivery,
particularly in the treatment of rheumatoid arthritis. Modified HA and CS can self-assemble into
micelles or micellar nanoparticles (NPs), enabling precise and controlled drug delivery. This paper
explores a range of NP formulations derived from HA and CS, including drug conjugates, polymers,
small molecules, polyelectrolyte nanocomplexes (PECs), metals, and nanogels. The versatility of
these NP formulations extends to various therapeutic applications, including cancer chemotherapy,
gene therapy, photothermal therapy (PTT), photodynamic therapy (PDT), sonodynamic therapy
(SDT), and immunotherapy. By harnessing the unique properties of HA and CS, these NP-based
systems offer promising avenues for advancing therapeutic interventions in diverse clinical settings.
Automatic Detection of Standard Planes in Fetal Ultrasound Images based on Convolutional Neural Networks and Ensemble Learning
Authors: Zhu Baoping , Yang Fan , Duan Hongliang , Gao Zhipeng
Published: July 2024

aims:

This study aims to leverage artificial intelligence for enhancing medical diagnosis, focusing on ultrasound evaluation of fetal development and detection of fetal diseases.

background:

Traditional diagnostic methods in ultrasound are known for being time-consuming and laborious, prompting the need for more efficient approaches.

objective:

The objective of this research is to develop an end-to-end automatic diagnosis system using convolutional neural networks with ensemble learning to enhance robustness and accuracy in classifying ultrasound images.

method:

The study involves constructing and implementing the automatic diagnosis system, training it on a diverse dataset encompassing six categories: abdomen, brain, femur, thorax, maternal cervix, and other planes.

result:

Experimental results demonstrate that the proposed end-to-end system significantly improves the detection accuracy of the standard plane in ultrasound images.

conclusion:

The application of artificial intelligence through an ensemble learning-based automatic diagnosis system shows promise in advancing ultrasound-based medical diagnosis, particularly in fetal development assessment.

other:

This research contributes to the ongoing efforts in leveraging technology for more efficient and accurate medical diagnostic processes.
Molecular Actions of Enicostemma hyssopifolium Whole Plant Extract on HPV18-Infected Human Cervical Cancer (HeLa) Cells
Authors: Koralahalli Komal Parameshwarappa , Hussain Sardar , Devarajan David Wilson , Siddikuzzaman  , Mariammal Berlin Grace Viswanathan
Published: July 2024

Objective:

Enicostemma hyssopifolium (E. hyssopifolium) contains several bioactive compounds with
anti-cancer activities. This study was performed to investigate the molecular effects of E. hyssopifolium on
HPV18-containing HeLa cells.

Methods:

The methanol extract of E. hyssopifolium whole plant was tested for cytotoxicity by MTT assay. A
lower and higher dose (80 and 160 μg/mL) to IC50 were analyzed for colonization inhibition (Clonogenic assay),
cell cycle arrest (FACS analysis), and induction of apoptosis (AO/EtBr staining fluorescent microscopy and
FACS analysis) and DNA fragmentation (comet assay). The HPV 18 E6 gene expression in treated cells was
analyzed using RT-PCR and qPCR.

Results:

A significant dose-dependent anti-proliferative activity (IC50 - 108.25±2 μg/mL) and inhibition of colony
formation cell line were observed using both treatments. Treatment with 80 μg/mL of extract was found to result
in a higher percent of cell cycle arrest at G0/G1 and G2M phases with more early apoptosis, while 160 μg/mL
resulted in more cell cycle arrest at SUBG0 and S phases with late apoptosis for control. The comet assay also
demonstrated a highly significant increase in DNA fragmentation after treatment with 160 μg/mL of extract (tail
moments-19.536 ± 17.8), while 80 μg/mL of extract treatment showed non-significant tail moment (8.152 ± 13.0)
compared to control (8.038 ± 12.0). The RT-PCR and qPCR results showed a significant reduction in the expression
of the HPV18 E6 gene in HeLa cells treated with 160 μg/mL of extract, while 80 μg/mL did not show a
significant reduction.

Conclusion:

The 160 μg/mL methanol extract of E. hyssopifolium demonstrated highly significant anti-cancer
molecular effects in HeLa cells.
Quantification of Lobeglitazone Sulfate in Bulk and Tablet Dosage Form by a Validated UV Spectroscopy Method: A New Thiazolidinedione Anti-diabetic Drug
Authors: Mudaliar Saradhkumar , Sharma Sanjay
Published: July 2024

Background:

Lobeglitazone sulfate is a novel thiazolidinedione drug used for the therapy of type 2 diabetes. Recent pre-clinical studies show that the drug is also effective in attenuating mucus hypersecretion and airway inflammation caused due to ovalbumin-induced asthma.

Objective:

This study aimed to develop an accurate, simple, and cost-effective analytical method for the quantification of lobeglitazone sulfate in bulk and pharmaceutical dosage forms by UV spectrophotometric technique.

Methods:

The drug was identified by FTIR (ATR) instrument and the method development was performed with methanol as the solvent. In compliance with the ICH Q2(R2) guidelines, all the important validation parameters, such as linearity, accuracy, Limit of Detection (LOD), precision, specificity, Limit of Quantification (LOQ), and robustness were deter-mined.

Results:

The maximum absorption wavelength of lobeglitazone sulfate was found to be 248 nm. The linearity range was established from 2-14 μg/mL with a linearity equation of y = 0.0361x + 0.0024 and r² = 0.9987. The accuracy of the analytical method was found to be in the range of 99.37-100.41%. The precision studies were performed under three subsets of re-peatability, intra-day, and inter-day, and the results recorded were within the acceptance lim-its, i.e., %RSD (<2%). The developed analytical method's Limit of Detection (LOD) and Limit of Quantification (LOQ) values were 0.07 μg/mL and 0.22 μg/mL, respectively.

Conclusion:

The developed analytical method has been found to be valuable in regular qual-ity control analysis of lobeglitazone sulfate in pharmaceutical industries. The adopted ap-proach of the developed method has been found to be facile, accurate, precise, and economi-cal.
Selection of Building Materials Using Fuzzy Analytical Hierarchy Process
Authors: Reddy L. Sudheer , Murthy N.R.D. , Srikanth M. , Reddy S. Sunil Pratap , Keerthana D. Mani
Published: July 2024

Introduction

Building materials play a vital role in the construction industry as they are directly related to quality, cost, constructability, and location-specific availability of material and skill. Selection of building materials is critical when there are too many alternatives. Multi Criteria Decision Making (MCDM) techniques are widely used to make such decisions simpler. For accurate decision-making, the selection of the appropriate MCDM method is very important. Most of the researchers used TOPSIS or AHP as MCDM techniques for decision-making in the construction industry.

Methods

In the present study, the fuzzy analytical hierarchy process (AHP) was used as an MCDM technique. The criteria and alternatives were identified for decision-making. The alternatives selected were locations specific to Hanamkonda, Telangana state, India. The criteria and alternatives were chosen for the building materials like cement, bricks, sand, doors, pipes, and tiles. The weights were calculated for each alternative fuzzy AHP geometric mean method. The weights of alternatives were evaluated and ranked.

Results

The best materials for cement, bricks, sand, doors, pipes, and tiles were Portland pozzolana, burnt clay bricks, river sand, UPVC, UPVC/CPVC, and marble, respectively.

Conclusion

Thus, building materials can be selected using fuzzy AHP by the client for the successful execution of a project based on his/her preferences and the location of that project.
Advancing Drug Delivery with Plant Protein-based Nanoparticles: A
Comprehensive Overview
Authors: Narkhede Minal , Patil Nandini
Published: July 2024

The advancement of nanotechnology has made it possible to deliver small molecular
drugs in nano-sized particles to target tissues. In this context, natural biomolecules, such as proteins,
have gained significant attention as a safer alternative to synthetic polymers commonly used in nanoparticle production. Plant proteins, in particular, are preferred over animal proteins due to their
lower risk of causing allergic reactions. Notable plant proteins include zein, soy protein, and wheat
protein (gliadin, gluten). Plant protein nanoparticles can be fabricated using various methods, including emulsion, electrospray, desolvation, and complex coacervation, utilizing plant proteins like zein,
gliadin, legumin, and soy protein. This review provides an overview of several plant proteins, their
applications as excipients or vehicles in drug delivery, and the methods employed to fabricate plant
protein nanoparticles. The review aims to shed light on the utilization of natural proteins as alternative excipients in nanotechnology
The Intersection of Nutrigenetics, Nutrigenomics, and the Microbiome in Human Health
Authors: Merra Giuseppe
Published: July 2024

EditorialThe Intersection of Nutrigenetics, Nutrigenomics, and the Microbiome in Human HealthGiuseppe Merra *Section of Clinical Nutrition and Nutrigenomics, Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy; E-Mail: giuseppe.merra@uniroma2.it * Correspondence: Giuseppe Merra; E-Mail: giuseppe.merra@uniroma2.itSpecial Issue: New Advances in Nutrigenetics and NutrigenomicsOBM Genetics2024, volume 8, issue 3doi:10.21926/obm.genet.2403251Received: July 03, 2024Accepted: July 03, 2024Published: July 09, 2024
Eryngium carlinae Extract and Exercise Improve Blood Lipid Profile and Skeletal Muscle Function in Obese Rats
Authors: Moreno-Calderón Koré Monsterrat , Saavedra-Molina Alfredo , Gómez-Barroso Mariana , Peña-Montes Donovan Javier , Cortés-Rojo Christian , Rodríguez-Orozco Alain , Ortiz-Ayala Omar , Montoya-Pérez Rocío
Published: July 2024

An excess of adipose tissue characterizes obesity; it is associated with complications such as diabetes and cardiovascular diseases due to an alteration in the lipid profile; this condition affects all tissues; even skeletal muscle is the most affected, causing its malfunction and bringing more significant consequences. Exercise has been described as one of the best treatments to combat obesity. At the same time, E. carlinae is a plant proven to have lipid-lowering and hypoglycemic effects, improving the function of various organs. However, its described effect has not been proven in skeletal muscle during obesity. Wistar male rats were separated into 8 groups, 4 healthy and 4 obese, treated with exercise and E. carlinae extract; after 8 weeks, they were sacrificed, muscles were extracted to measure contraction force, and blood was extracted to perform biochemical tests. Both exercise and E. carlinae extract effectively lowered glucose, improved lipid profile, reduced visceral fat, and improved muscle function during obesity. Exercise and E. carlinae extract improved muscle function during obesity, concerning better utilization and lower absorption of lipids.
Description des processus ancestraux pour la reconnaissance de haricot biofortifié Agrosavia Rojo 43 par le peuple Arhuaco
Authors: López López Antonio José , Izquierdo Cujar Yeimy Alejandra , Tofiño Rivera Adriana Patricia , Rozo Leguizamón Yanine , Rochel Ortega Elizabeth , Gómez Latorre Douglas Andrés
Published: July 2024

L’économie du peuple Arhuaco, l’une des quatre villes ancestrales installé dans la Sierra Nevada de Santa Marta, s’articule autour de la production agricole dans la communauté, c’est pourquoi ses processus d’enseignement de l’école primaire et secondaire privilégie les matières qui favorisent travailler dans les jardins, parmi lesquels les haricots, sont présents comme aliment traditionnel et cérémonial. Dans le cadre de ce peuple en pleine croissance, la production alimentaire nécessite le développement de nouveaux outils didactiques qui diffusent les techniques et pratiques agricoles dérivées des processus d’innovation technologique interculturelle d’Agrosavia. A travers ce livret didactique nous cherchons à intégrer la vision du monde du peuples ancestraux dans la gestion des connaissances techniques, afin de garantir la conservation de leur identité et de leur notion de territoire de vie. L’hybridation technologique contenue dans ce document, fruit d’harmoniser les pensées traditionnelles et agroécologiqu s – est présenté à la communauté arhuaca et les communautés scientifiques mondiales, comme outil fondamental pour prendre soin de l’environnement. Aussi pour apprendre au bonachi ou au petit frère à reconnaître que les humains appartiennent à la Terre Mère et non au contraire, un appel que lancent les leaders spirituels en tant que gardiens du coeur du monde.
Indicadores de calidad de suelo, agua y oferta ambiental para el cultivo de cebolla ocañera
Authors: Gómez Latorre Douglas Andrés , Araujo Carrillo Gustavo Alfonso , Estupiñán Casallas Jhon Mauricio , Rodríguez Roa Andrea Onelia , Rochel Ortega Elizabeth , Rozo Leguizamón Yanine , Tofiño Rivera Adriana Patricia
Published: July 2024

La cebolla de bulbo ocañera es un producto de alta tradición, identidad y arraigo, presente en la memoria histórica de la provincia de Ocaña (Norte de Santander). Sin embargo, las dificultades asociadas a malas prácticas culturales gestaron de forma progresiva el incremento de problemas fitosanitarios y de degradación de suelos ocasionados por la erosión. Sin embargo, la producción se mantuvo constante hasta inicios del siglo XXI cuando la variedad denominada “común”, redujo notablemente el rendimiento, lo que dio paso al uso de semilla originaria del Perú y se produjo la desaparición de la cebolla ocañera tradicional. Esta situación, aunado al indudable impacto del cambio climático que ha ejercido una fuerte presión sobre las áreas cultivables, siendo evidente el uso excesivo de fertilizantes nitrogenados, deforestación, erosión, entre otros, ha puesto en evidencia la baja sostenibilidad a mediano y largo plazo de la actividad agrícola en la provincia de Ocaña. Conscientes de estos retos, se presenta este libro con el objetivo de dar a conocer los resultados de un análisis territorial realizado como información contextual para dar soluciones a una mayor escala. Los indicadores (tiempo térmico, huella hídrica y degradación de suelos) pueden ser consultados con mayor detalle en el Módulo E - Cebolla Ocañera, del Sistema Experto MAPA (véase: https://semapa.agrosavia.co/Cebolla).
Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods
Authors: Kamis Arnold , Gadia Nidhi , Luo Zilin , Ng Shu Xin , Thumbar Mansi
Published: July 2024

Background

Lung disease is a severe problem in the United States. Despite the decreasing rates of cigarette smoking, chronic obstructive pulmonary disease (COPD) continues to be a health burden in the United States. In this paper, we focus on COPD in the United States from 2016 to 2019.

Objective

We gathered a diverse set of non–personally identifiable information from public data sources to better understand and predict COPD rates at the core-based statistical area (CBSA) level in the United States. Our objective was to compare linear models with machine learning models to obtain the most accurate and interpretable model of COPD.

Methods

We integrated non–personally identifiable information from multiple Centers for Disease Control and Prevention sources and used them to analyze COPD with different types of methods. We included cigarette smoking, a well-known contributing factor, and race/ethnicity because health disparities among different races and ethnicities in the United States are also well known. The models also included the air quality index, education, employment, and economic variables. We fitted models with both multiple linear regression and machine learning methods.

Results

The most accurate multiple linear regression model has variance explained of 81.1%, mean absolute error of 0.591, and symmetric mean absolute percentage error of 9.666. The most accurate machine learning model has variance explained of 85.7%, mean absolute error of 0.456, and symmetric mean absolute percentage error of 6.956. Overall, cigarette smoking and household income are the strongest predictor variables. Moderately strong predictors include education level and unemployment level, as well as American Indian or Alaska Native, Black, and Hispanic population percentages, all measured at the CBSA level.

Conclusions

This research highlights the importance of using diverse data sources as well as multiple methods to understand and predict COPD. The most accurate model was a gradient boosted tree, which captured nonlinearities in a model whose accuracy is superior to the best multiple linear regression. Our interpretable models suggest ways that individual predictor variables can be used in tailored interventions aimed at decreasing COPD rates in specific demographic and ethnographic communities. Gaps in understanding the health impacts of poor air quality, particularly in relation to climate change, suggest a need for further research to design interventions and improve public health.
Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study
Authors: Uhl Laura , Augusto Vincent , Dalmas Benjamin , Alexandre Youenn , Bercelli Paolo , Jardinaud Fanny , Aloui Saber
Published: July 2024

Background

The optimization of patient care pathways is crucial for hospital managers in the context of a scarcity of medical resources. Assuming unlimited capacities, the pathway of a patient would only be governed by pure medical logic to meet at best the patient’s needs. However, logistical limitations (eg, resources such as inpatient beds) are often associated with delayed treatments and may ultimately affect patient pathways. This is especially true for unscheduled patients—when a patient in the emergency department needs to be admitted to another medical unit without disturbing the flow of planned hospitalizations.

Objective

In this study, we proposed a new framework to automatically detect activities in patient pathways that may be unrelated to patients’ needs but rather induced by logistical limitations.

Methods

The scientific contribution lies in a method that transforms a database of historical pathways with bias into 2 databases: a labeled pathway database where each activity is labeled as relevant (related to a patient’s needs) or irrelevant (induced by logistical limitations) and a corrected pathway database where each activity corresponds to the activity that would occur assuming unlimited resources. The labeling algorithm was assessed through medical expertise. In total, 2 case studies quantified the impact of our method of preprocessing health care data using process mining and discrete event simulation.

Results

Focusing on unscheduled patient pathways, we collected data covering 12 months of activity at the Groupe Hospitalier Bretagne Sud in France. Our algorithm had 87% accuracy and demonstrated its usefulness for preprocessing traces and obtaining a clean database. The 2 case studies showed the importance of our preprocessing step before any analysis. The process graphs of the processed data had, on average, 40% (SD 10%) fewer variants than the raw data. The simulation revealed that 30% of the medical units had >1 bed difference in capacity between the processed and raw data.

Conclusions

Patient pathway data reflect the actual activity of hospitals that is governed by medical requirements and logistical limitations. Before using these data, these limitations should be identified and corrected. We anticipate that our approach can be generalized to obtain unbiased analyses of patient pathways for other hospitals.
Strategic Approaches and Proven Methods in Smartphone Pandemic Applications: Examining Collaborative Efforts and Knowledge Sharing in Mobile App Best Practices and Solutions (Preprint)
Authors: Elsner Christian , Winter Michael , Gocke Peter , Pryss Rüdiger , Krefting Dagmar
Published: July 2024

UNSTRUCTURED

The COVID-19 pandemic highlighted the crucial role of smartphone applications in managing public health crises, explicitly developed for lockdowns and social distancing. These apps faced challenges of broad acceptance, public trust, and rapid integration of sensitive medical data. The COMPASS initiative, part of the German government's Network University Medicine (NUM) projects, aimed to establish a modular platform for coordinated development and use of pandemic apps focusing on ease of use, free availability, sustainability, data security, and rapid deployment. The initiative sought to create a collaborative framework leveraging science, technology, and legislative experience to deploy efficient, effective, and research-ready health apps for pandemic scenarios. In this viewpoint, we examine how COMPASS utilized an interdisciplinary approach, combining expertise from nine university hospitals and external partners to develop app components, guidelines, and templates for pandemic management. The project focused on governance, best practices, regulatory and ethical compliance, research compatibility, interoperability, and a technology platform. Data from study apps like the Mainz Gutenberg Study Covid-19 App and SentiSurv App were analyzed to assess user engagement and app effectiveness. COMPASS successfully implemented study-related applications, developed technical components, and applied non-technical findings, generating nearly 1 million data points with over 25,000 participants. Achievements included a questionnaire editor, key component improvements, and contributions to projects like the digital InnovationHub CAEHR. The initiative emphasized data protection, user trust, and open-source solutions for future health crises. COMPASS represents a paradigm shift in utilizing mobile health applications for pandemic management, integrating technology, ethics, and user engagement, setting a precedent for future innovations in healthcare communication and epidemic response.
Afrodite Project - Proposal of Biocompatible Nipples for Patients with Breast Cancer and Victims of Accidents
Authors: Ongarelli Filippi Benevenutto , Maceti Huemerson , Marques Júlia Reis , Bertasso Patrícia Dário , Fernandes Nicole Isabelle Borge
Published: July 2024

Through the ages, breasts have played multiple roles, ranging from a source of nourishment to a source of pleasure and a symbol of femininity. The loss of these not only poses challenges of a physical nature but also prominent psychological disturbances, especially when associated with the context of breast cancer. In the current period, it is observed that an estimated contingent of 2.3 million individuals faced this arduous battle in the year 2020 (according to data from INCA - Instituto Nacional de Câncer), a struggle that left a myriad of physical scars and psychological traumas in its wake. Among the painful sequels, the deprivation of the areola stands out, whose reconstruction, unlike the breasts themselves, presents a notably more complex challenge. Regardless of the gender of the affected person and the circumstances that led to the deprivation of that essential part of their integrity, it is imperative that all those who experience such misfortune receive unconditional support. It was in this spirit of solidarity that a meticulously crafted silicone prosthesis was conceived, with the purpose of reproducing the lost areola(s) for those affected by this painful situation. This piece is remarkable in its total customization, adapting precisely to a wide range of models. Nevertheless, it is worth noting that its application does not require surgical procedures, thus enabling the restoration of self-confidence and the sparkle in the eyes of those who have already suffered too much. It is pertinent to emphasize that this innovative endeavor received valuable support from the facilities of the FABLAB "Espaço Maker" of Colégio Puríssimo, equipped with devices such as scanners and 3D printers. With the guidance provided by specialized literature in the areas of reverse engineering, human anatomy, psychoanalysis, art history, and humanity, a deep knowledge was obtained that constituted secure foundations for the practices adopted in this context.
Navigating Wellness: Chatbot-Powered Solutions for Mental Health
Authors: Shah Sahil
Published: July 2024

Abstract: Our overall well-being depends heavily on our mental health, which has received more attention in recent years. At the heart of this platform lies a sophisticated chatbot system, meticulously crafted to provide empathetic and responsive interactions with users.this abstract introduces a pioneering mental health website designed to offer comprehensive assistance to individuals seeking to improve their mental well-being. This chatbot serves as a virtual companion, offering a safe space for individuals to express their thoughts, feelings, and concerns without fear of judgment or stigma. Crucially, this website goes beyond mere conversation; it offers real-time solutions to address mental health challenges head-on. Drawing upon evidencebased practices and therapeutic techniques, the platform provides users with actionable strategies to manage stress, anxiety, depression, and other common mental health issues.
Ternary Effect in Concrete: Jaggery, Alccofine, and Graphene Oxide
Authors: Chaitanya J. Sree Naga
Published: July 2024

Abstract: This study investigates the effects of incorporating jaggery as an additive and Alccofine 1108 and graphene oxide as partial replacements for cement in concrete. Jaggery, a traditional natural sweetener, is introduced as an organic additive to enhance the workability and mechanical properties of concrete. Alccofine 1108, a high-performance micro-fine material, and graphene oxide, a carbon-based nanomaterial known for its exceptional strength and durability, are evaluated as partial cement substitutes to improve the sustainability and performance of concrete. To determine the optimal proportions of these materials. Various mixes were prepared by replacing cement with 5%, 10%, and 15% Alccofine 1108 and 0.05%, 0.10%, and 0.15% graphene oxide, 0.05%, 0.10% and 0.155% added to jaggery by weight of cement. The concrete samples were tested for compressive strength, tensile strength, and durability properties, including resistance to chloride ion penetration and sulfate attack.To determine compressive strength result, Split tensile strength result and Ultra Pulse Velocity result.
Enhancing the Performance and Behaviour of M35 Alccofine 1203 Grade Concrete
Authors: Anitha Vipparthi
Published: July 2024

Abstract: The construction industry faces pressures to reduce its environmental footprint, prompting the exploration of sustainable materials that maintain or enhance conventional concrete's performance. This study investigates Alccofine 1203, a high-performance micro-fine material, as a partial cement replacement in concrete. The objective is to determine optimal Alccofine percentages for desired mechanical properties and sustainability benefits. We conducted experimental trials with concrete mixes where cement was replaced by Alccofine at increments of 5%, 10%, and 15%. Multiple concrete cubes were prepared and tested for compressive strength, flexural strength, workability, and durability. Fresh properties were evaluated using slump and flow tests, ensuring adequate workability, while long-term performance was assessed through durability tests, including permeability and chloride ion penetration. The results indicate that a 10% replacement of cement with Alccofine 1203 enhances the compressive strength and durability of concrete without compromising workability. Higher percentages showed varied results, necessitating further investigation to optimize the mix design. This study highlights the potential of Alccofine 1203 as a sustainable alternative to traditional cement, offering significant implications for eco-friendly construction practices. This research contributes to the field by providing empirical data on Alccofine 1203's effects in concrete, supporting the development of more sustainable building materials. Future work will focus on refining mix proportions and exploring Alccofine's impact on other concrete properties such as shrinkage and creep.
METHODS OF MATHEMATICAL MODELING OF THE POWER CHARACTERISTICS OF A WIND TURBINE
Authors: BEKIROV O.S. ,   Institute of Physics and Technology named after V.I. Vernadskiy Crimean Federal University, Simferopol, Russian Federation, BEKIROV E.A. , VOSKRESENSKAYA S.N. ,   Institute of Physics and Technology named after V.I. Vernadskiy Crimean Federal University, Simferopol, Russian Federation,   Institute of Physics and Technology named after V.I. Vernadskiy Crimean Federal University, Simferopol, Russian Federation
Published: July 2024

At the moment, the Russian wind energy market uses wind power plants, which have their own range of parameters and characteristics. There are various methods by which it is possible to calculate electricity generation based on nominal capacity and wind potential data for the site where the construction of a wind farm is planned. But for this, it is necessary to have a power characteristic for a particular wind power plant. Often the nominal wind speed is used to build it. (Research purpose) The research purpose is analyzing methods for modeling power characteristics for wind power plants with various control systems. (Materials and methods) Considered cases for pitch control and stall control systems. Analytical and computational methods were applied, in particular the bin method and the linear interpolation method. (Results and discussion) Formulas were defined for calculating wind speed and active power to construct power characteristics using the bin method. Approaches to modeling the power characteristic and its approximation are described, while taking into account the features of power management systems, which are divided into active, passive and combined. The results of calculations were presented in tabular form, indicating that with passive and combined control systems cubic polynomials cannot be used due to the large approximation error, common methods for determining power and generation do not always give accurate results. (Conclusions) Several mathematical models used to analyze the power characteristics of wind power plants have been cited. It has been shown that they can be used to predict the output for specified sites with a known wind regime.
PROBABILITY OF UNAUTHORIZED POWER SUPPLY IN RURAL ELECTRIC GRIDS 0,4-10 KV
Authors: VINOGRADOV A.V. ,   Federal Scientific Agroengineering Center VIM, Moscow Russian Federation, PANFILOV A.A. ,   Oryol State Agrarian University named after N.V. Parakhin, Orel, Russian Federation
Published: July 2024

One of the causes of electrical injuries in rural power grids of 0.4-10 kilovolts is the unauthorized power supply, which is caused by various causes: the fall of a wire from one power line to another (disconnected), incorrect connection of an electric generator in a private household, etc. At the same time, the occurrence of a power supply in the 0.4 kilovolt grid due to reverse transformation at the 10/0.4 kilovolt transformer substation leads to the appearance of a voltage in the 10 kilovolt grid and poses a danger of electric shock both in 0.4 and 10 kilovolt grid. However, it is not possible to identify the number of cases of unauthorized power supply based on statistics or other data due to the fact that this information is not recorded until the accident occurs. Therefore, the definition of cases of unauthorized voltage supply is actual. (Research Purpose) The research purpose is estimating the probability of unauthorized power supply in electrical grids of 0.4-10 kilovolts. (Materials and methods) Methods of expert survey and processing of its results were applied. 74 experts serving rural power grids of 0.4-10 kilovolts were interviewed, who were asked questions about actual cases of unauthorized power supply and the expectation of meeting with such cases. Based on the results of the survey, the specific probabilities of the unauthorized power supply per kilometer of the line were determined (Results and discussion) The actual number of cases of unauthorized power supply recorded by experts has been determined, which amounted to 91 cases over five years, and the specific value is 0.011 cases per kilometer of lines per year. The assessment was carried out taking into account the total length of the grid serviced by experts - 1704 kilometers. The specific value of the probability of unauthorized power supply was determined according to experts (0.0056 cases per kilometer of lines per year). (Conclusions) The number of cases of unauthorized power supply predicted by experts is lower than the actual one, which confirms the need for additional training of personnel of power grid organizations on this issue.