bluuebunny/crossref_metadata_2025 huggingface dataset:
Multidrug-resistant Escherichia coli isolated from free-range chickens in the Caatinga biome
Authors: Sousa Luise Canuto , Sobrinho José Diniz Souto , Godoy Bianca Lara Venâncio , Neto Domingos Andrade , Leandro Giliel Rodrigues , Casella Tiago , Azevedo Sérgio Santos , Sousa Carolina
Published: May 2024

Antimicrobial resistant Escherichia coli is a global health challenge in a One Health perspective. However, data on its emergence in the Caatinga biome are limited. This biome is exclusive to the Brazilian Northeast and offers unique epidemiological conditions that can influence the occurrence of infectious diseases and antimicrobial resistance. In this study, we assessed the carriage proportion, the antimicrobial susceptibility, and the population structure of cephalosporin-resistant E. coli in 300 cloacal swab samples of free-range chickens from three Brazilian states covered by Caatinga biome. The results showed that 44 (14.7%) samples were positive for cephalosporin-resistant E. coli, and Paraíba (PB) state had the highest frequency of isolates (68.2%). Genes encoding CTX-M or AmpC enzymes were identified in 30 (68.2%) and eight isolates (18.2%), respectively, comprising 31 E. coli. Overall, molecular typing by XbaI-PFGE revealed four clusters from two properties of the PB state composed by ESBL- and AmpC-producing E. coli carrying blaCTX−M−1−like and blaMIR−1/ACT−1 genes and belonging to different phylogenetic groups. There is a need for controlling antimicrobial resistance taking into account the genetic diversity of the strains and their implications for animal and public health, especially in free-range chickens reared in the Brazilian Caatinga biome.
(-)-Epicatechin metabolites as a GPER ligands: a theoretical perspective
Authors: Ávila-Avilés Rodolfo Daniel , Bahena-Culhuac Erick , Hernández-Hernández J. Manuel
Published: May 2024

Diet habits and nutrition quality significantly impact health and disease. Here is delve into the intricate relationship between diet habits, nutrition quality, and their direct impact on health and homeostasis. Focusing on (-)-Epicatechin, a natural flavanol found in various foods like green tea and cocoa, known for its positive effects on cardiovascular health and diabetes prevention. The investigation encompasses the absorption, metabolism, and distribution of (-)-Epicatechin in the human body, revealing a diverse array of metabolites in the circulatory system. Notably, (-)-Epicatechin demonstrates an ability to activate nitric oxide synthase (eNOS) through the G protein-coupled estrogen receptor (GPER). While the precise role of GPER and its interaction with classical estrogen receptors (ERs) remains under scrutiny, the study employs computational methods, including density functional theory, molecular docking, and molecular dynamics simulations, to assess the physicochemical properties and binding affinities of key (-)-Epicatechin metabolites with GPER. DFT analysis revealed distinct physicochemical properties among metabolites, influencing their reactivity and stability. Rigid and flexible molecular docking demonstrated varying binding affinities, with some metabolites surpassing (-)-Epicatechin. Molecular dynamics simulations highlighted potential binding pose variations, while MMGBSA analysis provided insights into the energetics of GPER-metabolite interactions. The outcomes elucidate distinct interactions, providing insights into potential molecular mechanisms underlying the effects of (-)-Epicatechin across varied biological contexts.
Automatic Salt Segmentation Using Deep Learning Techniques
Authors: Jadhav Gaurang , Shah Jeeya , Vaghani Dhruv , Wadmare Jyoti
Published: May 2024

Detecting salt boundaries in seismic images is critical for subsurface reservoir characterization and oil and gas exploration. The presence of salt in seismic data often indicates the presence of valuable hydrocarbon resources, which could lead to significant oil discoveries. Traditional manual interpretation methods have limitations, prompting the industry to embrace deep learning techniques. Our proposed system extensively evaluates the effectiveness of deep learning models in salt boundary detection. Our approach involves developing a custom residual encoder-decoder model and comparing it against two existing models: Res-UNet and UNet. The advantage of our custom-built residual encoder-decoder model lies in its utilization of transposed convolutions for image segmentation. Unlike regular convolutions that extract features and reduce image size, transposed convolutions expand the image, potentially introducing new information from seismic data. The custom model emerges superior to UNet and Res-UNet models, exhibiting an accuracy of 94.28% and a precision score of 0.86. A series of comparative analysis is drawn with a main focus on transforming the automated salt segmentation process.
An Ensemble Clustering Method Based on Several Different Clustering Methods
Authors: Rezaei Sadegh , Malekhosseini Razieh , Yaghoubyan S. Hadi , Bagherifard Karamollah , Nejatian Samad
Published: May 2024

As an unsupervised learning method, clustering is done to find natural groupings of patterns, points, or objects. In clustering algorithms, an important problem is the lack of a definitive approach based on which users can decide which clustering method is more compatible with the input data set. This problem is due to the use of special criteria for optimization. Cluster consensus, as the reuse of knowledge, provides a solution to solve the inherent challenges of clustering. Ensemble clustering methods have come to the fore with the slogan that combining several weak models is better than a strong model. This paper proposed the optimal K-Means Clustering Algorithm (KMCE) method as an ensemble clustering method. This paper has used the K-Means weak base clustering method as base clustering. Also, by adopting some measures, the diversity of the consensus has increased. The proposed ensemble clustering method has the advantage of K-Means, which is its speed. Also, it does not have its major weakness, which is the inability to detect non-spherical and non-uniform clusters. In the experimental results, we meticulously evaluated and compared the proposed hybrid clustering algorithm with other up-to-date and powerful clustering algorithms on different data sets, ensuring the robustness and reliability of our findings. The experimental results indicate the superiority of the proposed hybrid clustering method over other clustering algorithms in terms of F1-score, Adjusted rand index, and Normal mutual information.
Analysis of kidney stones using Single Pulse Laser-Induced Breakdown Spectroscopy (SP-LIBS) to determine the concentrations of elements
Authors: Raheem Safa , Habana Sami , Ali Alaa H.
Published: May 2024

The chemical structure of kidney stones was studied using single pulse laser-induced breakdown spectroscopy (SP-LIBS). This approach present the use of a high-resolution (CCD) spectrometer that covered a spectrum range of 165-820nm with an optical resolution of 0.5nm. The kidney stones were stimulated by a passively Q-Switch Nd:YAG laser operating at a pulse duration of 10 ns and a fundamental wavelength of 1,064nm. The electron temperature (Te) and plasma density (ne) for the SP-LIBS system were investigated for all elements in the sample. A novel statistical method was employed to calculate the concentration of each element. This technique presented a straight forward and efficient approach for estimating the rate of concentration for each element.
Assessing Visual Hallucinations in Vision-Enabled Large Language Models
Authors: Lu Pingping , Huang Liang , Wen Tan , Shi Tianyu
Published: May 2024

Recent advancements in vision-enabled large language models have prompted a renewed interest in evaluating their capabilities and limitations when interpreting complex visual data. The current research employs ImageNet-A, a dataset specifically designed with adversarially selected images that challenge standard AI models, to test the visual processing robustness of three prominent models: GPT-4 Vision, Google Gemini 1.5, and Anthropic Claude 3. Quantitative analyses revealed notable disparities in misclassification rates and types of errors among these models, indicating a variation in their ability to handle adversarial inputs effectively. GPT-4 Vision demonstrated a commendable robustness, whereas Google Gemini 1.5 excelled in processing speed and efficiency. Anthropic Claude 3, while showing intermediate accuracy levels, displayed a significant propensity for contextual misinterpretations. Qualitative evaluations further assessed the relevance and plausibility of the models' visual hallucinations, uncovering challenges in achieving human-like understanding of ambiguous or complex scenes. The findings emphasize the necessity for further improvements in semantic accuracy and contextual understanding. Future research directions include enhancing adversarial robustness, refining evaluation metrics to better capture the qualitative aspects of visual understanding, and fostering interdisciplinary collaborations to develop AI systems with more nuanced interpretive abilities. The study underscores the ongoing journey towards AI models that can match human perceptual skills, highlighting both the progress made and the considerable challenges that remain.
A qualitative description of HIV testing and healthcare experiences among trans women in Ghanaian urban slums BSGH-011
Authors: Dakpui Henry Delali , Shamrock Osman Wumpini , Aidoo-Frimpong Gloria , Zigah Edem Yaw , Agbemedu George Rudolph , Ahmed Abdallah , Umar Osman , Haruna Aliyu , Abu-Ba’are Gamji Rabiu
Published: May 2024

Background
Achieving the UNAIDS 90–90–90 targets hinges on identifying and engaging individuals with HIV in care, requiring 90% of those infected to be diagnosed, initiated on ART, and achieving viral suppression. Despite this imperative, HIV testing services as well as research in Ghana often overlook the unique experiences of transgender women in urban slums, impacting their engagement with care. Using the gender affirmative model lens, this study reports the HIV testing experiences of trans women in Ghanaian slums, highlighting how the healthcare environment, counseling, and healthcare provider attitudes shape these experiences.
Methods
A qualitative descriptive interview design was employed, involving 20 trans women aged 18 to 31 years living in urban slums in the Greater Accra Metropolitan Area of Ghana. Participants were recruited using purposive and snowball sampling techniques. Data were collected through face-to-face interviews, transcribed verbatim, and analyzed using NVivo. Results were presented in categories and subcategories.
Results
Two main categories emerged from our data analysis: 1) Positive Experiences with HIV Testing, and 2) Negative Experiences with HIV Testing. Positive experiences with HIV testing among trans women in Ghanaian slums included a welcoming environment at healthcare facilities, supportive counseling, and relatability with HIV-positive nurses. Negative experiences were characterized by fear and anxiety during testing, often intensified by healthcare worker attitudes, including unwelcoming behaviors and judgmental body language, especially in facilities that are not key population friendly. These categories provided a framework for understanding the varied experiences of trans women in Ghanaian slums regarding HIV testing.
Conclusion
The study emphasizes the urgent need for healthcare facilities in Ghanaian slums to address discriminatory practices and attitudes towards trans women, fostering a welcoming and affirming environment. Adopting a multifaceted approach integrating the gender-affirmative model's principles is crucial to enhancing HIV testing experiences and achieving improved health outcomes for trans women. Policymakers and healthcare providers must prioritize comprehensive training, inclusive healthcare environments, and culturally competent care to mitigate health disparities among this population.
High-pressure phase transition of olivine-type Mg2GeO4 to a metastable forsterite-III type structure and their equations of state
Authors: Divya R. Valli , Kumar Gulshan , Cohen R.E. , Tracy Sally J. , Meng Yue , Chariton Stella , Prakapenka Vitali B. , Dutta Rajkrishna
Published: May 2024

Germanates are often used as structural analogs of planetary silicates. We have explored the high-pressure phase relations in Mg2GeO4 using diamond-anvil cell experiments combined with synchrotron X-ray diffraction and computations based on density functional theory. Upon room temperature compression, forsterite-type Mg2GeO4 remains stable up to 30 GPa. At higher pressures, a phase transition to a forsterite-III type (Cmc21) structure was observed, which remained stable to the peak pressure of 105 GPa. Using a third-order Birch Murnaghan fit to the experimental data, we obtained V0 = 305.1(3) Å3, K0 = 124.6(14) GPa, and K0′ = 3.86 (fixed) for forsterite-type Mg2GeO4 and V0 = 263.5(15) Å3, K0 = 175(7) GPa, and K0′ = 4.2 (fixed) for the forsterite-III type phase. The forsterite-III type structure was found to be metastable when compared to the stable assemblage of perovskite/post-perovskite + MgO, as observed during laser-heating experiments. Understanding the phase relations and physical properties of metastable phases is crucial for studying the mineralogy of impact sites, understanding metastable wedges in subducting slabs, and interpreting the results of shock compression experiments.
Quantum Monte Carlo simulation of the 3D Ising transition on the fuzzy sphere
Authors: Hofmann Johannes Stephan , Goth Florian , Zhu Wei , He Yin-Chen , Huffman Emilie
Published: May 2024

We present a numerical quantum Monte Carlo (QMC) method for simulating the 3D phase transition on the recently proposed fuzzy sphere [Phys. Rev. X 13, 021009 (2023)]. By introducing an additional SU(2) layer degree of freedom, we reformulate the model into a form suitable for sign-problem-free QMC simulation. From the finite-size-scaling, we show that this QMC-friendly model undergoes a quantum phase transition belonging to the 3D Ising universality class, and at the critical point we compute the scaling dimensions from the state-operator correspondence, which largely agrees with the prediction from the conformal field theory. These results pave the way to construct sign-problem-free models for QMC simulations on the fuzzy sphere, which could advance the future study on more sophisticated criticalities.
Social media marketing and customer purchase intention: Evidence-based bibliometrics and text analysis
Authors: Tuan Phan Anh , Van Nguyen Anh , Van Ho Nhan , Ha Hai Giang
Published: May 2024

The rapid proliferation of social media platforms has sparked heightened interest among businesses seeking to leverage them to enhance customer purchase intentions. Consequently, there has been a surge in research exploring the intersection of social media marketing and consumer behavior. However, gaps persist regarding the primary themes within this research domain. This study analyzes 282 research papers spanning from 2012 to 2022, sourced from the Web of Science Core Collection, focusing on social media and customer purchase intentions. Leveraging Latent Dirichlet Allocation (LDA) commands in STATA and VOSviewer software, the study investigates emerging trends and prevalent themes, visualizing the dataset. The findings indicate a notable increase in research output, particularly from developed countries, with significant collaboration between developed and developing nations. Moreover, the study identifies five principal research topics: 1) the impact of social media marketing on consumer purchase intention, 2) the consequences of online brand communities on purchase behavior, 3) factors influencing consumer purchase intention, 4) influencer effects on purchase intention, and 5) social media advertising and marketing strategies. Future inquiries should delve into various factors shaping customer purchase intentions, including the role of influencers, word-of-mouth dynamics, and advertising strategies while considering the diverse cultural contexts across different regions. This comprehensive analysis provides valuable insights for researchers and practitioners alike, guiding future endeavors in understanding and harnessing the power of social media in consumer decision-making processes.
AcknowledgmentsGiang Hai Ha was funded by the Master, PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), code VINIF.2022.TS030.
Green decisions: The role of environmental strategies and proactivity in India’s manufacturing micro enterprises
Authors: D. B. Chetanraj , Kumar J. P. Senthil , ManiKrishna Velagapudi , Sri Sai Velaga
Published: May 2024

This study investigates the implication of environmental strategies and environmental management accounting (EMA) on the environmental performance of manufacturing micro companies in India. It also assesses the mediating influence of EMA and the moderating impact of environmental proactivity. This paper employs the natural resource-based view theory to evaluate the domination of environmental strategies and EMA on environmental effectiveness. Even though MSMEs play a significant role in the Indian economy, their environmental impact is considerable due to less stringent adherence to environmental standards and practices. The data were gathered via a survey administered to managers of MSMEs. In the analysis, 107 reliable responses were included. Partial least square structural equation modeling is employed for the analysis of the dataset. The results show that environmental strategies positively influence environmental performance and EMA. EMA operates as a mediator for environmental strategies and environmental outcomes. Moreover, environmental proactivity moderates the association between environmental strategies and environmental performance. Hypotheses testing results conclude that manufacturing micro companies that emphasize environmental strategies and factors have improved environmental performance. Companies that proactively deal with environmental issues develop strategies to achieve sustainability.
Characterisation of extreme precipitation changes in the upper reaches of the Yangtze River, China
Authors: Chen Ting , Yao Ye , Chen Hui
Published: May 2024

The paper analyses the spatial and temporal characteristics of extreme precipitation in the upper reaches of the Yangtze River through extreme precipitation indicators based on the trend method, the Mann–Kendall trend test, and the rescaled extreme deviation extreme deviation using daily precipitation data from 1961 to 2021. The following conclusions were obtained: The overall precipitation in the upper reaches of the Yangtze River is reduced, and the number of rainy days is reduced. The frequency of extreme precipitation is generally reduced, but the spatial difference in the intensity of extreme precipitation is greater, which makes the occurrence of extreme precipitation more concentrated and more destructive. Extreme precipitation indicators showed relatively large fluctuations after 2000, especially in terms of extreme precipitation intensity. The frequency of extreme precipitation in the upper reaches of the Yangtze River is the highest in the main stream of the Yangtze River Basin and the Wujiang River Basin, the intensity of extreme precipitation is in the Jialing River and the Wujiang River Basin, and the accumulation of extreme precipitation is the highest in the Jialing River and the Wujiang River Basin, whereas the maximum value of the station extreme precipitation intensity and frequency is in the Minjiang River Basin.
Enhanced water production in hemispherical solar stills via solar collector and thermal storage integration: experimental validation
Authors: Benabdelaziz Kamel Ferhat , Chaker Abla , Kerfah Rabah
Published: May 2024

In arid regions that face water scarcity, solar distillation offers hope by meeting the increasing need for clean drinking water. This study investigates the integration of a hot water storage system, heated by a flat plate solar collector, into a hemispherical solar still. Placing the storage tank below the still's absorber enhances heat input and efficiently stores excess daytime thermal energy. Conducted in Bouismail from December 2022 to October 2023, the study yielded significant results: the modified solar still outperformed the conventional one, with production increases of 157% in winter and 207% in summer. Moreover, the modified still demonstrated remarkable efficiency improvement in summer, reaching 37.42% compared to 20.38% for the conventional still. The orientation of the fins within the storage tank, with respect to the hot water entrance orifice, significantly impacted water production, with alterations of the angle resulting in decreases of up to 25%. Increasing saltwater depth led to reduced distilled water output, with declines of up to 37.08% for the modified still. Economic analysis showed a slightly higher cost per liter of water produced by the modified still ($0.1897) compared to the simple one ($0.1446).
Migraciones, derecho a la ciudad y utopía. El caso de Ciudad de México
Authors: Ortega Ramírez Adriana Sletza
Published: May 2024

Este artículo introduce un análisis sobre el derecho a la ciudad de la población migrante en Ciudad de México considerando tres dimensiones principales: la utopía, la política pública y los derechos sociales. El artículo es el resultado de una primera investigación documental y de campo —realizada durante 2021 y 2022— que incluyó entrevistas a migrantes y organizaciones civiles defensoras de derechos de personas migrantes. Las conclusiones apuntan que si bien la Constitución Política de la Ciudad de México, adoptada en 2017, garantiza el derecho a la ciudad, aún no está explícitamente relacionado con las políticas públicas para poblaciones migrantes ni es enarbolado por las colectividades migrantes para proyectar su participación política.
Jogos de linguagem e neodocumentalismo
Authors: Martins Sergio de Castro
Published: May 2024

This article aims to establish relationships between a theory of Neodocumentalism in Information Science and issues exposed in the philosophical systems of Ludwig Wittgenstein's Philosophy, especially in its second phase, as exposed in his work Philosophical Investigations. In this sense, it is intended to establish converging relationships between the concept of language-games and aspects related to the document as an instrument for conveying information, language and social practice. After an introduction to the topic, concepts of Neodocumentalism in the field of Information Science will be presented. Then, a presentation of Wittgenstein's system will be made, especially the system of its second phase and, soon after, aspects and considerations will be approached between Neodocumentalism and language-games.
Synthesis of Polysubstituted Pyridines via Nitrogen-doped Graphene Catalyzed
One-Pot Multicomponent Reaction under Solvent-Free Conditions
Authors: Movahed Zahra , Valizadeh Hassan , Mirzaei Farzaneh
Published: May 2024

Polysubstituted pyridine derivatives were produced with high to excellent yields
in the presence of nitrogen-doped graphene (NDG) as a dual acid-based catalyst. NDG
efficiently catalyzes the multicomponent reaction between arylaldehydes, diethyl-acetylene
dicarboxylates, malononitrile, and ammonium acetate under solvent-free conditions at 80°C
to afford the polysubstituted pyridines in short reaction times. The structures of the synthesized
pyridines were established by Ft-IR, 1H, and 13C NMR spectroscopic analysis. The
advantages of this method include the in-situ oxidation of prepared 1,4-dihydropyridines,
one-pot procedure, solventless system, operational simplicity, and no column chromatography.
Additionally, neither toxic solvents nor catalysts are needed, and the procedure can
be very reliable among the reported methodologies. The yields and reaction times in the
presence of four times recycled catalyst are in comparable to the fresh catalyst.
Microstructure and Perfusion Alterations of Globus Pallidus in Neonates with
Hyperbilirubinemia
Authors: Zhang Yi , Zhang Juan , Chen Yu-Chen , Zheng Jin-Xia , Ding Shaohua
Published: May 2024

Background::

Previous studies have indicated the abnormality of the globus pallidus in neonates with hyperbilirubinemia.

Objective::

This study aims to explore the microstructure and cerebral perfusion of globus pallidus in neonatal hyperbilirubinemia by using Diffusion Tensor
Imaging (DTI) and Arterial Spin Labeling (ASL) approaches

Methods::

Thirty-seven neonates were enrolled in this study, which were classified into Bilirubin-Induced Neurologic Dysfunction (BIND) group
(hyperbilirubinemia with BIND, n=12), non-BIND group (hyperbilirubinemia without BIND, n=15), and healthy controls (HC) group (n=10). The
quantitative values of globus pallidus were calculated from DTI, including the Apparent Diffusion Coefficient (ADC), the Fractional Anisotropy
(FA), and Volume Ratio (VR) values. Additionally, the relative Cerebral Blood Flow (rCBF) values were obtained from ASL.

Results::

It was observed that the mean DTI signal of globus pallidus was significantly different among the three groups (p < 0.05). However, there were no
significant differences in the rCBF of globus pallidus among the three groups (p > 0.05). A positive correlation was also observed between the
fractional anisotropy (FA) value and serum bilirubin level (r = 0.561, p = 0.002), while the VR value showed a negative correlation with serum
bilirubin level (r=-0.484, p=0.011). The area under the curve (AUC) of FA, VR, and FA and VR combined was 0.897, 0.858, and 0.933,
respectively.

Conclusion::

The alterations of microstructure in globus pallidus, especially FA and VR value, may be valuable and sensitive at the early stage of
hyperbilirubinemia encephalopathy, suggesting that early hyperbilirubinemia may lead to cytotoxic edema and decreased permeability of the cell
membrane.
A Systematic Review on Deep Learning Model in Computer-aided Diagnosis for
Anterior Cruciate Ligament Injury
Authors: Herman Herman , Jaya Kumar Yogan , Yong Wee Sek , Kumar Perhakaran Vinod
Published: May 2024

Introduction::

In developing Computer-Aided Diagnosis (CAD), a Convolutional Neural Network (CNN) has been commonly used as a Deep Learning (DL) model. Although it is still early, DL has excellent potential in implementing computers in medical diagnosis.

Methods::

This study reviews the use of DL for Anterior Cruciate Ligament (ACL) tear diagnosis. A comprehensive search was performed in PubMed,
Embase, and Web of Science databases from 2018 to 2024. The included study criteria used MRI images to evaluate ACL tears, and the diagnosis
of ACL tears was performed using the DL model. We summarized the paper by reporting their model accuracy, model comparison with
arthroscopy, and explainable.

Results::

AI implementation in tabular format; we conclude that many medical professionals believe that arthroscopic diagnosis is the most reliable method
for diagnosing ACL tears. However, due to its intrusive treatment, CAD is projected to be able to produce similar outcomes from MRI scan results.
To gain the trust of physicians and meet the demand for reliable knee injury detection systems, an algorithm for CAD should also meet several
criteria, such as being transparent, interpretable, explainable, and easy to use. Therefore, future works should consider creating an Explainable DL
model for ACL tear diagnosis. It is also essential to evaluate the performance of this Explainable DL model compared to the gold standard of
arthroscopy diagnosis.

Conclusion::

There are issues regarding the need for Explainable DL in CAD to increase confidence in its result while also highlighting the importance of the
involvement of medical practitioners in system design. There is no funding for this work.
Flavonoids as Potential Natural Compounds for the Prevention and
Treatment of Eczema
Authors: Khan Javed , Yadav Shikha , Bhardwaj Divya , Kumar Abhishek , Okanlawon Moshood Ummuani
Published: May 2024

Eczema is a systemic autoimmune disease characterized by inflammation and skin manifestation with a range of comorbidities that include physical and psychological disorders. Despite recent advancements in understanding the mechanisms involved in atopic dermatitis, current marketed products have shown varying results with more side effects. The present ob-jective of the research studies is to develop new agents for eczema that cut down the cost of the novel drugs available and also improve the efficacy with the least adverse effects. Natural compounds and medicinal plants have been traditionally used since ancient civilizations. Now-adays, research in the herbal field is at its peak. One such natural compound, flavonoid, was found to be beneficial for the treatment of eczema. This review describes the use of certain flavonoid products to prepare preparations suitable for the treatment of prophylaxis or eczema. This is especially true for prophylaxis or atopic eczema treatment. These compounds exhibit anti-inflammatory, anti-inflammatory, anti-inflammatory, and anti-inflammatory properties and are, therefore, used in treatments to prevent allergies, inflammation, and irritation to the skin. We also dock the flavonoid derivatives used with the protein associated with the inhibi-tion of eczema for better lead optimization. These preparations appear to be used for cosmetic, dermatological, or herbal remedies as a local application.
Pengaruh Penambahan Variasi Kombinasi Tepung Maggot (Hermetia illucens) Pada Campuran Pakan Terhadap Kadar Glukosa dan Asam Urat Ayam Petelur
Authors: Putra Aditya Wirawantoro , Fauziah Farisa Amanda , Widyaputri Tiara , Widigdyo Anang , Purnomo Panji
Published: May 2024

Ayam petelur merupakan salah satu ternak unggas yang dapat menghasilkan produk hewani berupa telur dan daging sehingga biasa disebut dwiguna. Ayam petelur dalam pemberian pakan dapat menggunakan pakan alternatif berupa Maggot Black Soldier Fly (BSF). Maggot Black Soldier Fly (BSF) merupakan salah satu jenis insekta yang memiliki kadar protein tinggi dan dapat digunakan sebagai bahan baku pakan ternak. Penelitian bertujuan untuk mengetahui pengaruh pemberian tambahan variasi kombinasi tepung maggot 0%, 25%, 50%, 75% terhadap kadar glukosa dan asam urat darah ayam petelur. Penelitian telah mendapatkan Keterangan Laik Etik No. 010-KEP-UB-2023. Pengambilan sampel darah penelitian dilakukan pada ayam Isa brown fase layer berumur 22 minggu. Pemeriksaan kimia darah dilakukan untuk melihat kadar glukosa dan asam urat darah menggunakan alat Sinocare SafeÂ® AQ UA. Data yang diperoleh kemudian dianalisa menggunakan metode one-way ANOVA lalu dilanjutkan dengan uji Tukey untuk mengetahui perbandingan antar kelompok perlakuan. Hasil kadar glukosa darah ayam petelur fase layer yang diberi tambahan variasi kombinasi tepung maggot tidak memiliki perbedaan yang signifikan dengan nilai (P>0,05). Pemberian perlakuan pakan pada semua kelompok tidak memberikan pengaruh terhadap kadar glukosa. Hasil kadar glukosa yang didapatkan pada penelitian berada dalam kisaran 188,60-199,80 mg/dL. Hasil kadar asam urat pada ayam petelur fase layer yang diberi tambahan variasi kombinasi tepung maggot 25% dan 50% tidak berbeda nyata dengan pemberian 100% tepung ikan. Kelompok pemberian pakan 50% tepung maggot dan 75% tepung maggot dapat meningkatkan kadar asam urat sama dengan kelompok kontrol negatif yang diberi pakan komersial. Hasil kadar asam urat yang didapatkan pada penelitian berada dalam kisaran 3,90-7,16 mg/dL. Rekomendasi persentase tepung maggot yang dapat digunakan untuk tambahan pakan ayam petelur fase layer adalah 25%.
Phenotype and Genotype Expression with the GDF9 Gene in the Sapudi and Garut Sheeps
Authors: Hairoh Nikhmatul , Mudawamah Mudawamah , Sumartono Sumartono
Published: May 2024

This study aims to determine the expression of phenotypes and genotypes in Sapudi and Garut sheep, as well as differences between GDF9 exon 1 gene expression and phenotypic traits in Sapudi and Garut sheep. The research method used is a quantitative descriptive method. The material used was 48 rams kept at UPT Breeding Cattle and Forages in Jember and Seribu Pulau Children's Farm, Kangploso Farm, Malang. As for the observation of GDF9 gene expression by qPCR analysis using GDF9 gene primers with a sample of 8 tails. Data analysis used unpaired t-test analysis and continued with the BNT test. Observation of phenotypic traits included body length (PB), chest circumference (LD), and body height (TB). The genotype observed was GDF9 gene expression. The results showed very significant differences in the phenotypic characteristics of the Sapudi and Garut sheep (P<0.01). Based on the study, there were differences in the expression of the phenotypic traits of Sapudi and Garut sheep on body length (Sapudi 63.21a Â± 3.39; Garut 77.71b Â± 5.66) cm, chest circumference (Sapudi 76.15a Â± 3.81; Garut 83, 00b Â± 8.75) cm and height (Sapudi 64.96a Â± 3.97; Garut 73.50b Â± 5.60) cm. There was a very significant difference (P<0.01) in genotypic traits from the qPCR results of the GDF9 gene between sheep breeds, namely Sapudi sheep 31.66 Â± 5.61 and Garut sheep 23.70 Â± 2.40.
Pengaruh Pemberian Probiotik Sari Kulit Pisang Kepok (Musa balbisiana) Terhadap Performa Produksi Itik Hibrida
Authors: Lestari Retno Budi , Heraini Dela , Permadi Edy , Bakriyanto Bakriyanto
Published: May 2024

Penelitian ini bertujuan untuk mengetahui pengaruh penambahan probiotik dari limbah kulit buah pisang terhadap peforma produksi itik hibrida dan untuk mengetahui konsentrasi terbaik pada setiap perlakuannya. Metode penelitian menggunakan Rancangan Acak Lengkap (RAL) dengan 5 perlakuan yaitu P0 (control), P1 (probiotik 5 ml), P2 (probiotik 10 ml), P3 (probiotik 15 ml), P4 (probiotik 20 ml) dengan setiap perlakuan terdiri dari 5 ulangan. Itik hibrida yang digunakan dalam penelitian ini sejumlah 100 ekor dimana setiap ulangan terdiri dari 4 ekor itik hibrida. Hasil penelitian menunjukkan bahwa perlakuan pemberian probiotik sari kulit pisang dengan konsentrasi yang berbeda memberikan pengaruh berbeda sangat nyata terhadap pertambahan bobot badan (P<0,01) dengan nilai rataan PBB berkisar antara 1.312,75 - 1.732,75 gram/ekor, Memberikan pengaruh berbeda sangat nyata terhadap IOFC (P<0,01) dengan nilai rataan Rp. 36.593,91 â€“ Rp. 54062,96/ekor, dan memberikan pengaruh nyata (P>0,05) terhadap nilai Feed Convertion Ratio (FCR) yang berkisar antara 3,11 â€“ 3.64 serta berpengaruh tidak nyata (P<0,05) terhadap konsumsi pakan dengan nilai rataan 4.965,25Â  g/ekor sampai 5.465,75Â  g/ekor. kesimpulan dari penelitian ini adalah perlakuan pemberian probiotik sari kulit buah pisang mampu memberikan pengaruh nyata terhadap performa itik hibrida dengan konsentrasi 20 ml memberikan performa produksi terbaik.
Paradigm shift in the digital transformation of the banking sector: A bibliometric analysis
Authors:   Department of Commerce, School of Social Sciences and Languages, Vellore Institute of Technology, Vellore, India, Lavanya B. , Dunstan Rajkumar A. ,   Department of Commerce, School of Social Sciences and Languages, Vellore Institute of Technology, Vellore, India
Published: May 2024

This study attempts to provide a comprehensive analysis of the impact of digital technology on the banking industry. The banking industry is undergoing a rapid paradigm shift, driven by the need for reliable, intuitive, and efficient financial services, as well as the proliferation of innovative financial technologies and changing regulations. This calls for a comprehensive study of digital transformation in the banking industry. The main objective of the study is to analyze the growth pattern of technological transformation in the banking industry. This paper adopts bibliometric analysis of data with substantial use of R package and VOSviewer software. The study examines 328 articles published in the Web of Science and Scopus databases between 2009 and 2023. The results show an increasing trend of 18.29% in the publication of articles based on their annual production. The study conducted a network analysis to identify the paradigm shift in banking technology related to FinTech, innovation, digital transformation, adoption of digital banking technology, digital economy, e-commerce, and digitization. The results show that the period from 2017 to 2023 is of great importance, as it has witnessed a significant increase in the volume of publications related to digital transformation in the banking sector.
Clinical Analysis of Oral Squamous Cell Carcinoma: A Single-institution Experience
Authors: JIROMARU RINA , YASUMATSU RYUJI , MATSUO MIOKO , HASHIMOTO KAZUKI , KOGO RYUNOSUKE , NAKAGAWA TAKASHI
Published: May 2024

Background/Aim: There is limited evidence about the significance of head and neck surgical observation at the time of diagnosis and follow-up of oral cancer after treatment. The aim of this study was to elucidate the prognosis and prognostic factors of oral squamous cell carcinoma (OSCC), analyze cases of double cancers, and highlight the importance of examinations during both diagnosis and post-treatment for OSCC. Patients and Methods: We performed a retrospective analysis of 272 OSCC cases treated for the first time during a 10-year period from April 2013 to March 2023 at Kyushu University Hospital. Information obtained in the clinical setting, such as age, stage, prognosis, and presence of double cancers, was used in the analysis. Results: The mean age of 272 patients was 69 years; 203 patients were males and 69 were females. The most common oral cancer sites were the tongue (54.4%). The 5-year overall survival rate was 63.8%. Double cancer was found in 93 patients (34.2%). Synchronous double cancers were found in 38 patients (14.0%), 50% of whose cancer types were head and neck cancers. Conclusion: We analyzed 272 OSCC patients treated at the Kyushu University Hospital, and the results were comparable to those reported by other institutions. Tumor site, age, and stage were identified as prognostic factors. Half of the patients with synchronous double cancers had head and neck cancer, and 3-10% of patients with double cancers after treatment for OSCC also had head and neck cancer, suggesting the importance of otorhinolaryngological observation at the time of the diagnosis and after treatment.
Pseudomyxoma Peritonei: A Challenging Clinical Diagnosis. Case Report and Review of the Literature
Authors: TSOUKALAS NIKOLAOS , TSAPAKIDIS KONSTANTINOS , TOLIA MARIA , KIAKOU MARIA , GALANOPOULOS MICHALIS , ARAVANTINOU-FATOROU ELENI , BAXEVANOS PANAGIOTIS , PAPADOPOULOS VASILEIOS , TOUNTZIARIS CHRYSOVALANTIS , NIKOLAOU MICHALIS , KAMPOSIORAS KONSTANTINOS
Published: May 2024

Background: Pseudomyxoma peritonei (PMP) is a clinical entity of subtle onset abdominal pain, ascites, and distention associated with characteristic imaging. In most cases, laparoscopic exploration will give the definitive diagnosis and histopathologic verification. However, usually there are difficulties in the diagnosis of this disease. Case Report: Herein, we present a case of a 51-year-old female who developed ascites over 5 months. An investigational laparotomy established the diagnosis of PMP, after the discovery of a mucinous, grey-brown tumor that was CK20 positive and CK7 negative. Subsequently, chemotherapy with oxaliplatin combined with 5-FU (FOLFOX4 regimen), was initiated and the patient survived for 30 months. We also present a comprehensive review of the English literature concerning the different symptoms and radiological findings of this rare entity. According to the literature review, 35 cases of PMP with different clinical and radiological findings have been described. In the majority of the cases, ultrasound, computed tomography or magnetic resonance imaging was orientating towards a proper diagnosis before a diagnostic laparotomy. Conclusion: The combination of a clinical picture with the characteristic imaging findings enables a prompt diagnosis of PMP, making prognosis more favorable.
Gender Parity Analysis of the Editorial Boards of Influential Dermatology Journals: Cross-Sectional Study
Authors: Szeto Mindy D , Sivesind Torunn E , Kim Lori S , O’Connell Katie A , Sprague Kathryn A , Nong Yvonne , Strock Daniel M , Cao Annie L , Wu Jieying , Toledo Lauren M , Wolfe Sophia M , Boothby-Shoemaker Wyatt , Dellavalle Robert P
Published: May 2024

This study underscores the persistent underrepresentation of women in academic dermatology leadership positions by examining the gender composition of editorial boards across top dermatology journals, emphasizing the urgent need for proactive strategies to promote diversity, equity, and inclusion.
AI Hesitancy and Acceptability—Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study
Authors: Wu Philip Fei , Summers Charlotte , Panesar Arjun , Kaura Amit , Zhang Li
Published: May 2024

Background

Artificial intelligence (AI) chatbots have the potential to assist individuals with chronic health conditions by providing tailored information, monitoring symptoms, and offering mental health support. Despite their potential benefits, research on public attitudes toward health care chatbots is still limited. To effectively support individuals with long-term health conditions like long COVID (or post–COVID-19 condition), it is crucial to understand their perspectives and preferences regarding the use of AI chatbots.

Objective

This study has two main objectives: (1) provide insights into AI chatbot acceptance among people with chronic health conditions, particularly adults older than 55 years and (2) explore the perceptions of using AI chatbots for health self-management and long COVID support.

Methods

A web-based survey study was conducted between January and March 2023, specifically targeting individuals with diabetes and other chronic conditions. This particular population was chosen due to their potential awareness and ability to self-manage their condition. The survey aimed to capture data at multiple intervals, taking into consideration the public launch of ChatGPT, which could have potentially impacted public opinions during the project timeline. The survey received 1310 clicks and garnered 900 responses, resulting in a total of 888 usable data points.

Results

Although past experience with chatbots (P<.001, 95% CI .110-.302) and online information seeking (P<.001, 95% CI .039-.084) are strong indicators of respondents’ future adoption of health chatbots, they are in general skeptical or unsure about the use of AI chatbots for health care purposes. Less than one-third of the respondents (n=203, 30.1%) indicated that they were likely to use a health chatbot in the next 12 months if available. Most were uncertain about a chatbot’s capability to provide accurate medical advice. However, people seemed more receptive to using voice-based chatbots for mental well-being, health data collection, and analysis. Half of the respondents with long COVID showed interest in using emotionally intelligent chatbots.

Conclusions

AI hesitancy is not uniform across all health domains and user groups. Despite persistent AI hesitancy, there are promising opportunities for chatbots to offer support for chronic conditions in areas of lifestyle enhancement and mental well-being, potentially through voice-based user interfaces.
A Call for a Health Data–Informed Workforce Among Clinicians
Authors: Doll Joy , Anzalone A Jerrod , Clarke Martina , Cooper Kathryn , Polich Ann , Siedlik Jacob
Published: May 2024

A momentous amount of health data has been and is being collected. Across all levels of health care, data are driving decision-making and impacting patient care. A new field of knowledge and role for those in health care is emerging—the need for a health data–informed workforce. In this viewpoint, we describe the approaches needed to build a health data–informed workforce, a new and critical skill for the health care ecosystem.
Feasibility of a 2-Part Substance Use Screener Self-Administered by Patients on Paper: Observational Study
Authors: Kramer Joanna , Wilens Timothy E , Rao Vinod , Villa Richard , Yule Amy M
Published: May 2024

Background

Measurement-based care in behavioral health uses patient-reported outcome measures (PROMs) to screen for mental health symptoms and substance use and to assess symptom change over time. While PROMs are increasingly being integrated into electronic health record systems and administered electronically, paper-based PROMs continue to be used. It is unclear if it is feasible to administer a PROM on paper when the PROM was initially developed for electronic administration.

Objective

This study aimed to examine the feasibility of patient self-administration of a 2-part substance use screener—the Tobacco, Alcohol, Prescription medications, and other Substances (TAPS)—on paper. This screener was originally developed for electronic administration. It begins with a limited number of questions and branches to either skip or reflex to additional questions based on an individual’s responses. In this study, the TAPS was adapted for paper use due to barriers to electronic administration within an urgent care behavioral health clinic at an urban health safety net hospital.

Methods

From August 2021 to March 2022, research staff collected deidentified paper TAPS responses and tracked TAPS completion rates and adherence to questionnaire instructions. A retrospective chart review was subsequently conducted to obtain demographic information for the patients who presented to the clinic between August 2021 and March 2022. Since the initial information collected from TAPS responses was deidentified, demographic information was not linked to the individual TAPS screeners that were tracked by research staff.

Results

A total of 507 new patients were seen in the clinic with a mean age of 38.7 (SD 16.6) years. In all, 258 (50.9%) patients were male. They were predominantly Black (n=212, 41.8%), White (n=152, 30%), and non-Hispanic or non-Latino (n=403, 79.5%). Most of the patients were publicly insured (n=411, 81.1%). Among these 507 patients, 313 (61.7%) completed the TAPS screener. Of these 313 patients, 76 (24.3%) adhered to the instructions and 237 (75.7%) did not follow the instructions correctly. Of the 237 respondents who did not follow the instructions correctly, 166 (70%) answered more questions and 71 (30%) answered fewer questions than required in TAPS part 2. Among the 237 patients who did not adhere to questionnaire instructions, 44 (18.6%) responded in a way that contradicted their response in part 1 of the screener and ultimately affected their overall TAPS score.

Conclusions

It was challenging for patients to adhere to questionnaire instructions when completing a substance use screener on paper that was originally developed for electronic use. When selecting PROMs for measurement-based care, it is important to consider the structure of the questionnaire and how the PROM will be administered to determine if additional support for PROM self-administration needs to be implemented.