bluuebunny/crossref_metadata_2025 huggingface dataset:
Food Front-of-Pack Labelling and the Nutri-Score Nutrition Label—Poland-wide Cross-sectional Expert Opinion Study
Authors: Panczyk Mariusz , Dobrowolski Hubert , Sińska Beata I. , Kucharska Alicja , Jaworski Mariusz , Traczyk Iwona
Published: May 2023

Front-of-pack labelling (FoPL) systems, such as the Nutri-Score, play a crucial role in promoting healthy diets and raising consumer awareness. Our study aimed to gather the opinions of Polish experts on the Nutri-Score and its relation to an ideal information system. We conducted a survey with 75 experts, who had an average of 18.1±12.7 years of experience and were mainly employed at medical and agricultural universities. The results showed that the most important features of an FoPL system were clarity, simplicity, consistency with healthy eating recommendations, and the ability to objectively compare products within the same group. While more than half of the respondents believed that the Nutri-Score provides an overall assessment of a product’s nutritional value and facilitates quick purchasing decisions, it falls short in helping consumers compose a balanced diet and cannot be applied to all product groups. The experts also expressed concerns about the system’s ability to account for a product’s degree of processing, full nutritional value and carbon footprint. In conclusion, Poland’s current labelling system needs expansion, but the Nutri-Score requires significant and deep changes and validation against national guidelines and expert expectations before implementation.
Artificial Intelligence in Cardiovascular Medicine: A Comprehensive Clinical Review
Authors: Ganipineni Vijay Durga Pradeep , Gutlapalli Sai Dheeraj , Paramsothy Jananthan , Okorie Ikpechukwu J , Ugwendum Derek , Farid Meena A , Fabian Daniel , Kailayanathan Tharunjan , Piccione GianPaolo , Idavalapati Ajay Sai Krishna Kumar , Azeze Ziteste , Atere Muhammed , Galligan Sean , Nfonoyim Jay , Rotatori Francesco
Published: May 2023

In this review we look at the developments in the field of artificial intelligence (A.I) and their current impact as well as future implications in the field of cardiology, we as physicians and cardiologists have tried to put our perspective on the rapidly evolving field, In light of the fact that many of the healthcare workers and professionals across the world still find the concept of A.I quite complicated, elusive and somewhat paradoxical, we have tried to simplify the concept of artificial intelligence and make it easy for everyone to understand from all walks of life. The Databases utilized for our review are PubMed, PubMed Central, Google Scholar. The Keywords used for our Data Search are “Artificial Intelligence”, “A.I Cardiology”, “A.I in Cardiovascular Medicine”, “Machine Learning in Cardiology”. We screened all relevant since inception till March 25th and included 44 relevant articles after careful consideration into our paper. We have discussed the implementation of and scope of artificial intelligence across a broad spectrum of applications including cardiovascular imaging and diagnostics like electrocardiograms, echocardiograms, cardiac CT/MRIs to novel cardiac monitoring devices, CRISPR gene editing in cardiology and implementation of artificial intelligence in the field of Cardiovascular Bioprinting. This is the initial review in a series of reviews regarding A.I in Cardiology.
The Influence of Cleaning Solutions on the Retention of Overdenture Attachment Systems
Authors: Monteiro Sofia , Barreiros Pedro , Mendes Joana , Aroso Carlos , Silva António Sérgio , Mendes José Manuel
Published: May 2023

Dental-implant-supported reconstructions provide comfort and improvements in prosthetic function, adaptation, and stability over conventional treatment options. The objective of this study was to evaluate the effect of multiple cleaning solutions on dentures and their influence on the deterioration and loss of retention of overdenture attachments in a 12-month clinical-use simulation. In this way, four different brands of retentive caps made of Teflon (OT Equator, Locator®, Kerator®, and Locator R-Tx®) were immersed in five different cleaning solutions (Kukident®, Benfix®, Corega®, and Protefix®), and tap water was used as the control group, in a simulation that lasted 12 months. Data were analyzed using two-way ANOVA and a Tukey HSD. Furthermore, a Levene Test and Shapiro–Wilk tests were performed to assess the validation of the ANOVA assumptions. The statistical analysis was performed using R version 4.2.2 software with the significance level set to p < 0.05. There were significant statistical differences between the different manufacturers on the retention forces of the attachment’s retentive caps. For the cleaning solution groups, different statistical results between Kukident® and Benfix® were observed. There were no significant statistical differences between Corega®, Protefix®, and tap water despite the fact that the retention forces decreased in all of them.
Development of a Plug-In to Support Sustainability Assessment in the Decision-Making of a Building Envelope Refurbishment
Authors: Verdaguer Bernardette Soust , Gutiérrez José Antonio , Llatas Carmen
Published: May 2023

Existing studies provide evidence that buildings and the construction sector are the largest consumers of natural resources and carry the greatest responsibility for greenhouse gas emissions. In order to reverse this situation, future challenges involve utilising the least resources possible. To this end, building refurbishment becomes a crucial strategy given its potential to improve operational energy efficiency and to extend the life span of existing building stock, thereby reducing the environmental impact while also providing social and economic benefits to our cities. Life Cycle Sustainability Assessment (LCSA) has become one of the scientific community’s most widely recognised methodologies for the evaluation of the social, economic, and environmental dimensions (Triple Bottom Line), since it assesses sustainability using quantitative metrics. However, the implementation of this methodology to support the refurbishment process at the project stage in building design tools, such as BIM, remains scarce. One of the main obstacles lies in the difficulties of accessing the building information, given that the system boundaries only cover new materials and products. Hence, this study proposes a BIM plug-in development to support the multi-dimensional building material selection in the early design steps based on the LCSA of a building during the refurbishment stage and validates its application in a case study. The results show the viability of using this tool during the early design stages and demonstrate the consistency of the results to evaluate various material and product alternatives for the refurbishment of the envelope system of a multi-family residential building. This study contributes towards the integration of decision-making by providing real-time assessment of the building envelope.
Highly Specialized Mechanisms for Mitochondrial Transport in Neurons: From Intracellular Mobility to Intercellular Transfer of Mitochondria
Authors: Zaninello Marta , Bean Camilla
Published: May 2023

The highly specialized structure and function of neurons depend on a sophisticated organization of the cytoskeleton, which supports a similarly sophisticated system to traffic organelles and cargo vesicles. Mitochondria sustain crucial functions by providing energy and buffering calcium where is needed. Accordingly, the distribution of mitochondria is not even in neurons and is regulated by a dynamic balance between active transport and stable docking events. This system is finely tuned to respond to changes in environmental conditions and neuronal activity. In this review, we summarize the mechanisms by which mitochondria are selectively transported in different compartments taking into account the structure of the cytoskeleton, the molecular motors and the metabolism of neurons. Remarkably, the motor proteins driving the mitochondrial transport in axons have been shown to mediate also their transfer between cells. This so-named intercellular transport of mitochondria is opening new exciting perspectives in the treatment of multiple diseases.
Association of Phenotypic Markers of Heat Tolerance with Australian Genomic Estimated Breeding Values and Dairy Cattle Selection Indices
Authors: Osei-Amponsah R. , Dunshea Frank R , Leury Brian J , Abhijith Archana , Chauhan Surinder S
Published: May 2023

Dairy cattle predicted by genomic breeding values to be heat tolerant are known to have less milk production decline and lower core body temperature increases in response to elevated temperatures. In a study conducted at the University of Melbourne’s Dookie Robotic Dairy Farm during summer, we identified the most 20 heat-susceptible and 20 heat-tolerant cows in a herd of 150 Holstein Friesian lactating cows based on their phenotypic responses (changes in respiration rate, surface body temperature, panting score, and milk production). Hair samples were collected from the tip of the cows' tail following standard genotyping protocols. The results indicated variation in feed saved and HT genomic estimated breeding values (GEBVs) (P≤0.05) across age, indicating a potential for their selection. As expected, the thermotolerant group had higher GEBVs for HT and feed saved but lower for milk production. In general, younger cows had superior GEBVs for Balanced Performance Index (BPI), Type Weighted Index (TWI) and Australian Selection Index (ASI), whilst older cows were superior in fertility, feed saved (FS) and HT. The study demonstrated highly significant (P≤ 0.001) negative correlations (-0.28 to -0.74) between HT and GEBVs for current Australian Dairy cattle selection indices (BPI, TWI, ASI, HWI) and significant (P≤ 0.05) positive correlations between HT and GEBVs for traits like FS (0.45) and fertility (0.25). Genomic selection for HT will help improve cow efficiency and sustainability of dairy production under hot summer conditions. However, a more extensive study involving more lactating cows across multiple farms is recommended to confirm the associations between the phenotypic predictors of HT and GEBVs.
Compressed Gaussian Estimation under Low Precision Numerical Representation
Authors: Guivant Jose , Kim Jonghyuk , Narula Karan , Li Xuesong , Khan Subhan
Published: May 2023

This paper introduces a method to achieve optimal Gaussian estimation even when operating with low precision numerical representations of the full covariance matrix, such as 16-bit integer or 32-bit single precision formats, instead of more expensive double precision floating point representations (64 bits). The approximation's numerical error is accurately estimated in a conservative manner, resulting in minimal covariance inflation. When combined with a compressed estimator like the GCKF (Global Compressed Kalman Filter), which performs global updates at low frequency, this approach produces estimates that are nearly identical to the optimal ones. The deviation between the results obtained using this new approach and those obtained with the standard GCKF (which operates in double precision) is negligible. This new method is particularly relevant in high-dimensional estimation problems that require high-frequency operation. By leveraging the compressed operation of the GCKF, the estimation process applies the necessary approximation only during low-frequency global updates, using the single precision format instead of the more expensive double precision representations. The introduced numerical approximation is accurately estimated while maintaining a conservative approach, resulting in minimal covariance inflation. When combined with the GCKF, which performs global updates at low frequency, the estimates produced are almost identical to the optimal ones. This approach is particularly useful in high-dimensional estimation problems that require high-frequency operation. By representing the full covariance matrix in a low precision numerical format and applying appropriate scaling, memory usage is significantly reduced, offering substantial benefits for high-dimensional estimation problems and enabling real-time smoothing processes in such cases. By reducing the memory requirements for storing the full covariance matrix, the CPU avoids encountering a high number of page faults, resulting in improved processing performance. Lastly, the experimental section verifies the performance of the proposed approach in a single precision (32-bit floating point) GCKF SLAM process, assessing expected values and standard deviations of marginal PDFs.
Chromosome-Level Genome Assembly and Population GE-Nomic Analyses Reveal Geographic Variation and Population Genetic Structure of Prunus tenella
Authors: Qin Yue , Zhao Han , Han Hongwei , Zhu Gaopu , Wang Zhaoshan , Li Fangdong
Published: May 2023

Prunus tenella is a rare and precious relict plant in China. It is an important genetic resource for almond improvement and an indispensable material in ecological protection and landscaping. However, the research of molecular breeding and genetic evolution has been severely restricted, due to the lack of genome information. In this investigation, we created a chromosome-level genomic pattern of P. tenella, 231Mb in length with a contig N50 of 18.1 Mb by Hi-C techniques and high-accuracy PacBio HiFi sequencing. The present assembly predicted 32088 protein-coding genes, and an examination of the genome assembly indicated that 94.7% among all assembled transcripts were alignable to the genome assembly; most (97.24%) were functionally annotated. By phylogenomic genome comparison, we found that P. tenella is an ancient group that diverged approximately 13.4 million years ago (Mya) from 13 additional closely related species and about 6.5 Mya from the cultivated almond. Collinearity analysis revealed that P. tenella is highly syntenic and has high sequence conservation with almond and peach. However, this species also exhibit many presence/absence variants. Moreover, a large inversion at the 7,588 kb position of chromosome 5 was observed, which may have a significant association with phenotypic traits. Lastly, population genetic structure analysis in eight different populations indicated a high genetic differentiation among the natural distribution of P. tenella. This high-quality genome assembly provides critical clues and comprehensive information for the systematic evolution, genetic characteristics, and functional gene research of P. tenella. Moreover, it provides a valuable genomic resource for in-depth study in protecting, developing, and utilizing P. tenella germplasm resources.
High-Crystallinity BiOCl Nanosheets As Efficient Photocatalysts for Norfloxacin Antibiotics Degradation
Authors: Li Mingxia , Wang Bo , Li Zhenzi
Published: May 2023

: The stability of semiconductor catalysts is a very important property in the field of catalytic reactions. Materials necessitate resistance to mechanical abrasion and chemical erosion for better overall performance. In this work, high crystallinity BiOCl nanosheets were prepared by a simple hydrothermal method. The photocatalysts demonstrate full UV light absorption ability and excellent photocatalytic norfloxacin degradation performance. 84 % of highly toxic norfloxacin were photocatalytically eliminated within 180 min. The internal structure and surface chemical state of BiOCl were analyzed by SEM, TEM, Raman, FTIR, UV-vis, XPS, and other techniques. Such high crystallinity makes BiOCl molecules closely arranged and the molecular chains strongly connected, thus exhibiting a high level of photocatalytic stability and recyclability.
Novel Wild Type and Mutate HIV-1 Protease Inhibitors Containing Heteroaryl Carboxamides in P2: Synthesis, Biological and ADME Evaluations
Authors: Armentano Maria Francesca , Lupattelli Paolo , Bisaccia Faustino , D’Orsi Rosarita , Miglionico Rocchina , Nigro Ilaria , Santarsiere Alessandro , Berti Federico , Funicello Maria , Chiummiento Lucia
Published: May 2023

The Virus HIV-1 infection still represents a serious disease even if actually it is transformed in chronic pathology. Considering the crucial role of the enzyme Protease in life cycle of HIV many efforts have been made in the research of new organic compounds showing inhibitory activity. After development of several series of non peptidic inhibitors we report here the synthesis of novel simple HIV-Protease inhibitors containing heteroaryl carboxamides and their antiviral activity in vitro and in HEK293 cells. Benzofuryl- benzothienyl- and indolyl rings as well as aryl sulfonamides with different electronic properties have been introduced by efficient synthetic procedures. All compounds showed inhibitory activity similar to the commercial drug Darunavir, effective against both wild-type HIV-1 protease and that containing the V32I or V82A mutations. ADME properties were also evaluated, showing the potential of such compounds to be developed as drugs.
Evaluation of Consciousness Rehabilitation via Neuroimaging Methods
Authors: Wang Jianyang , Gao Xinyu , Xiang Zuchao , Sun Fangfang , Yang Yong
Published: May 2023

Accurate evaluation of patients with disorders of consciousness (DoC) is crucial for personalized treatment. However, misdiagnosis remains a serious issue. Neuroimaging methods could observe the conscious activity in patients who have no evidence of consciousness in behavior, and provide objective and quantitative indexes to assist doctors in their diagnosis. In the review, we discussed the current research based on the evaluation of consciousness rehabilitation after DoC using EEG, fMRI, PET, and fNIRS, as well as the advantages and limitations of each method. Nowadays single-modal neuroimaging can no longer meet the researchers` demand. Considering both spatial and temporal resolution, recent studies have attempted to focus on the multi-modal method which can enhance the capability of neuroimaging methods in the evaluation of DoC. As neuroimaging devices become wireless, integrated, and portable, multi-modal neuroimaging methods will drive new advancements in brain science research.
Hybrid Source Multi-Port Quasi-Z-Source Converter with Fuzzy Logic-Based Energy Management
Authors: Say Gorkem , Hosseini Seyed Hossein , Esmaili Parvaneh
Published: May 2023

In this paper, a fuzzy logic-based energy management system and multi-port quasi-z-source converter are proposed that utilizes hybrid renewable energy sources. The system ensures that each energy source module can be used individually by employing fuzzy logic to define power modes. This approach also helps prevent switching losses resulting from extra switching of the source modules. Also, the proposed energy management does not have a mathematical model, so applicability is simple and it is suitable for different multiple input topologies. The Mamdani fuzzy inference system can be designed to capture the nonlinear behavior of the system because of the linguistic rules. Moreover, by adopting the quasi-z-source network to the end of the multi-port converter, the switching losses of the multi-port modules have been significantly reduced. The simulation results are obtained using MATLAB Simulink, and the experimental results are obtained by connecting the circuit to MATLAB Simulink via an Arduino Due.
Analyzing the Antinociceptive Effect of Interleukin-31 in Mice
Authors: Arai Iwao , Tsuji Minoru , Saito Saburo , Takeda Hiroshi
Published: May 2023

The theory that an itch inhibits pain has been refuted; however, previous research did not investigate this theory for interleukin-31 (IL-31)-induced itch. Previously, we have found that morphine-induced antinociception was partially reduced in IL-31 receptor A (IL-31RA)-deficient (IL-31RAKI) mice, indicating that IL-31RA may play an important role in morphine-induced peripheral antinociception. In the present study, we evaluated the effect of IL-31-induced analgesia on a 2,4,6-trinitrochlorobenzene (TNCB)-sensitized mice using a hot-plate test. This test evaluated the antinociceptive activity of morphine, and non-steroidal anti-inflammatory drugs (NSAIDs). Repeated pretreatment with IL-31 showed significant antinociceptive action. Furthermore, its combination with morphine, but not with NSAIDs, increased the analgesic action. In contrast, treatment with TNCB and capsaicin decreased antinociception. Moreover, TNCB increased IL-31RA expression in the dorsal root ganglia at 24 h, whereas capsaicin inhibited it. The comparative action of several analgesics on TNCB or capsaicin was evaluated using a hot-plate test, which revealed that the antinociceptive activity was decreased or disappeared in response to capsaicin-induced pain and in IL-31RAKI mice. These results indicate that the analgesic action of IL-31 involves the peripheral nervous system, which affects sensory nerve. These results provide a basis for developing novel analgesics using this mechanism.
High Expression of MRE11A, the Gene Involved in the Resection Step During Homologous Recombination, Is Associated with Shorter Survival and a Higher Risk of Death in CRC Patients
Authors: Azambuja Daniel de Barcelos , E Glória Helena de Castro , Montenegro Gabriel e Silva , Kalil Antonio Nocchi , Hoffmann Jean-Sébastien , Leguisamo Natalia , Saffi Jenifer
Published: May 2023

Background: Homologous Recombination (HR) is the most accurate repair pathway for double-strand breaks and replication fork disruption that is capable of faithfully restoring the original nucleotide sequence of the broken DNA. The deficiency in this mechanism is a frequent event in tumorigenesis. Therapies that exploit defects in HR have been explored essentially in breast, ovarian, pancreas, and prostate cancers, but poorly in colorectal cancers (CRC) although CRC ranks second in mortality worldwide. Methods: Tumor specimens and matched healthy tissues from 63 patients with CRC were assessed for gene expression of HR key components and MMR status, which were correlated with clinicopathological features, progression-free survival, and overall survival (OS). Results: Enhanced expression of MRE11A, the gene encoding a key molecular actor for resection is significantly overexpressed in CRC, is associated with the occurrence of primary tumors particularly T3-T4 and is found in more than 90% of the right-side of CRC, the location with worst prognostic. Importantly, we also found that high MRE11A transcript abundance is associated with 16.7 months shorter OS and a 3.5 higher risk of death.
Conclusion: Monitoring MRE11 expression could be used both as a predictor of outcome and as a marker to select CRC patients for treatments thus far adapted for HR deficient cancers.
Basic Knowledge of Polyamines That Researchers Must Know before Starting Research, and the Relationship of Polyamines to Aging, Health and Disease
Authors: Soda Kuniyasu
Published: May 2023

The human polyamines spermine and spermidine are essential for cell function, and their properties have been extensively studied. However, research results of experiments conducted without understanding the properties of polyamines have been evaluated and published by reviewers who appear to have little knowledge of the properties of polyamines. It is sad that some studies repeat what was done more than half a century ago before polyamines were characterized. First, I explain the basic properties of polyamines that researchers need to know. Then, the relationship between changes in polyamine levels in the body and age- and lifestyle-related diseases is discussed. In addition, the epigenetic mechanism of action of polyamines in relation to healthy longevity and, conversely, age- and lifestyle-related diseases and the progression of senescence are discussed. Spermine, which increases with a polyamine-rich diet, acts to suppress aberrant gene methylation and proinflammatory status associated with aging. Meanwhile, chronic inflammation associated with aging induces the enzyme activity of spermine oxidase, which breaks down spermine and produces acrolein, resulting in reduced spermine levels. Acrolein, a toxic aldehyde that increases with age- and lifestyle-related diseases, is thought to accelerate these diseases.
Lymphatics — Future Perspectives Unrealized Potential
Authors: Houck Philip David , Dandapantula Hari function and , Massey Janet
Published: May 2023

Proposed fundamental laws of biology and a model of health and disease underscore the importance of the lymphatic system. The lymphatics are responsible for two of the laws of biology and the fulcrum of health and disease balancing proliferation with regeneration through the immune system. It is responsible for protection from the environment and repair of senile and damaged tissue. Life is constantly bombarded by forces that increase entropy. Lymphatics provide negative entropy to maintain health. Lymphatics help maintain cellular homeostasis removing products of metabolism. Using these principles, the role of lymphatics is investigated in salt sensitivity hypertension, cardiorenal system, the new pillar of heart failure and kidney disease - Sodium-Glucose Transport Protein 2 (SGLT2) Inhibitors, and brain diseases. The realization of organ lymphatics in maintenance of health and disease opens the avenue to new therapeutics. This is the unrealized potential of lymphatic study.
Influence of Stress and Emotions in the Learning Process: The Example of COVID-19. A Narrative Review
Authors: Córdova Alfredo , Caballero-García Alberto , Drobnic Franchek , Roche Enrique , Noriega David C.
Published: May 2023

Emotional instability and stress are main disturbances that condition the learning process, affecting both teachers and students. The main objective of this review is to analyze the influence of stress and emotions (as part of stress) on the learning process. The quality and intensity of emotions will not depend exclusively on a particular situation, but also on the subjective evaluation that the person makes of the situation in terms of a set of assessment dimensions. Emotions lead to sentimental, cognitive, behavioral and physiological changes, which will have a strong influence on intellectual performance. Stress is a physiological mechanism that the organism develops to adapt and survive in external and internal environments. Although it seems that it is a general pattern of response to emotions, it could be assumed that each emotion seems to have its own pattern of physiological reaction. In conclusion, extreme stress situations can generate anxiety and frustration in students. The activation of coping strategies constitutes a key mechanism for dealing positively with problems and challenges, generating positive emotions essential for the self-regulation of learning.
Inflammatory Biomarker Profiles in Very Preterm Infants within the Context of Preeclampsia, Chorioamnionitis and Clinically Diagnosed Postnatal Infection
Authors: Ewald Jordan T. , Steinbrekera Baiba , Bermick Jennifer R. , Santillan Donna A. , Colaizy Tarah T. , Santillan Mark K. , Roghair Robert D.
Published: May 2023

Preterm delivery can be precipitated by infection, and preterm infants are at heightened risk of postnatal infection. Little is known about the ontogeny of inflammatory biomarkers in extremely preterm infants. We hypothesized that suspected prenatal infection (chorioamnionitis or spontaneous preterm labor) and clinically diagnosed postnatal infection would be associated with unique biomarker signatures, and those patterns would be influenced by the degree of prematurity. Venous blood was collected daily for the first week and weekly for up to 14 additional weeks from 142 neonates born at 22-32 weeks gestation. A custom array was utilized to measure monocyte chemoattractant protein-1 (MCP-1) and interleukin-6 (IL-6). C-reactive protein (CRP) levels were obtained from the electronic medical record. 90 infants had suspected prenatal infection and 63 were diagnosed with postnatal infection. Independent of gestational age at delivery, MCP-1 was significantly increased (P < 0.001) in association with maternal preeclampsia, but MCP-1 was decreased (P<0.01) and CRP was increased (P<0.05) in the presence of chorioamnionitis. IL-6 and CRP were both increased in infants diagnosed with postnatal infection with peak levels observed on days 2 and 3, respectively. In conclusion, suspected prenatal and postnatal infections and non-infectious complications of pregnancy are associated with unique biomarker profiles, independent of gestational age. In those clinically diagnosed with a postnatal infection in the absence of antenatal infection concerns, IL-6 increases before CRP, emphasizing a potential role for expanded biomarker screening if antibiotics are initially avoided in infants born exclusively for maternal indications.
SG-Det: Shuffle-GhostNet-based Detector for Real-Time Maritime Object Detection in UAV Images
Authors: Zhang Lili , Zhang Ning , Shi Rui , Wang Gaoxu , Xu Yi , Chen Zhe
Published: May 2023

Maritime search and rescue is a crucial component of the national emergency response system, which currently mainly relies on Unmanned Aerial Vehicles (UAVs) to detect the objects. Most traditional object detection methods focus on boosting the detection accuracy while neglecting the detection speed of the heavy model. However, it is also essential to improve the detection speed which can provide timely maritime search and rescue. To address the issues, we propose a lightweight object detector named Shuffle-GhostNet-based detector (SG-Det). First, we construct a lightweight backbone, named Shuffle-GhostNet, which enhances the information flow between channel groups by redesigning the correlation group convolution and introducing the channel shuffle operation. Second, we propose an improved feature pyramid model, namely BiFPN-tiny, which has a lighter structure while being capable of reinforcing small object features. Furthermore, we incorporate the atrous spatial pyramid pooling module (ASPP) to the network, which employs atrous convolution with different sampling rates to obtain multi-scale information. Finally, we generate three sets of bounding boxes at different scales – large, medium, and small – to detect objects of different sizes. Compared with other lightweight detectors, SG-Det achieves better tradeoffs across performance metrics, and enables real-time detection with an accuracy rate of over 90% for maritime objects, which shows that it can be better meet the actual requirements of maritime search and rescue.
A Polymer Instigated Path in the Engineering of Sensors and Biosensors for Effective Amelioration of Therapeutics
Authors: Quazi Mohzibudin Z. , Hwang Jimin , Song Youngseo , Park Nokyoung
Published: May 2023

Nanotechnology and polymer engineering are steering towards a new development to invade deleterious mysteries. In the last few decades, polymer engineering has grabbed researchers’ attention and similarly, polymeric network-engineered structures have been vastly studied. Prior to therapeutic application, early and quick detection analyses are critical. Therefore, developing nanoscale sensors to manage the acute expression of feeble states and malignancies to draw therapeutic lines demands advanced nanoengineering. In spite of nano-therapeutics have emerged as an alternative approach to tackling strenuous diseases. Also, studies have shown highly biocompatible biomedical engineering has emerged with sheer progression. Moreover, hydrogels have emerged as a three-dimensional (3D) polymeric network that consists of hydrophilic natural or synthetic polymers. The resemblance of hydrogels with tissue structure makes it more unique to study inquisitively. Preceding studies have shown a vast spectrum of synthetic and natural polymer deployment in the field of biotechnology and molecular diagnostics. This review explores recent studies on synthetic and natural polymer engineered hydrogel-based biosensors and their applications in multipurpose diagnostics and therapeutics. We reviewed the latest studies on hydrogel-engineered biosensors, exclusively DNA-based and DNA hydrogels fabricated biosensors.
Revisiting Vrancea (Romania) Intermediate-Depth Seismicity: Some Statistical Characteristics and Seismic Quiescence Testing
Authors: Enescu Bogdan , Ghita Cristian , Moldovan Iren-Adelina , Radulian Mircea
Published: May 2023

(1) Background: The intermediate-depth seismicity in the Vrancea region (Romania) is characterized by localized and persistent earthquake activity that culminates about two or three times in a century with the occurrence of a large event (M 6.5). Here we have revisited some important seismicity characteristics, using earthquake catalog data spanning two different time periods: 2005 – 2013 and 1960 – 2000. (2) Methods: we have determined the b-value of the frequency-magnitude distribution of earthquakes, using a maximum likelihood procedure, and estimated the parameter to quantify anomalous seismicity rate decreases and increases. (3) Results: by using data from the first period, we have confirmed the existence of a decreased b-value in the deepest part of the seismogenic zone; by using data from the second period, we have statistically confirmed the seismic quiescence that preceded the occurrence of the 1977 M7.4 Vrancea earthquake. (4) Conclusions: the decreased b-value has been interpreted either in terms of an increased lithostatic stress with depth or as an indicator of the depth range where the next major Vrancea earthquake may occur. The time variation of the seismicity parameter may reveal anomalous seismic quiescence and increased earthquake rates that may precede the occurrence of large earthquakes.
Crowdsourcing Intangible Heritage for Territorial Development: A Conceptual Framework considering Italian Inner Areas
Authors: Tricarico Luca , Lorenzetti Edoardo , Morettini Lucio
Published: May 2023

: The paper aims to present a conceptual framework for developing territorial development strategies based on crowdsourcing technologies to enhance intangible heritage, setting this framework within the context of Italian inner areas defined by a policy framework oriented towards the territorial development of marginal areas. For this reason, the work intends to provide the necessary background information for the development of such strategies, examining the technological aspects, a precise definition of the concept of intangible heritage, the application of a socially innovative strategy for marginal territories, and a framework of strategic actions necessary to implement solutions capable of involving local communities from the bottom up and ensuring a widespread redistribution of the benefits in the development of these technologies. The paper's objective is, therefore, to bridge the gap between different debates: technological innovation, the enhancement of intangible heritage, and territorial development based on socially innovative strategies, providing a key information framework for experts and scholars who intend to approach these topics or develop projects based on these tools and objectives.
Lichens from the Roosevelt River Area in the Brazilian Amazon
Authors: Aptroot André
Published: May 2023

Lichens were investigated in Brazil in a small area along the Roosevelt river in Amazonas; 26 species are first reports for Brazil, and 192 additional species are first records for Amazonas state. As many as 24 species are described as new to science: Allographa lineatipruinosa, Allographa variopruinata, Arthonia xanthopycnidiata, Astrothelium aurantioseptemseptatum, Astrothelium bulbosum, Astrothelium coloratum, Astrothelium inspersonovemseptatum, Astrothelium insulare, Astrothelium laureroides, Astrothelium marjoleinae, Astrothelium meandratum, Astrothelium multireflexum, Astrothelium myopicum, Astrothelium parabathelium, Astrothelium stellare (also known from Mato Grosso state), Astrothelium suprainspersum, Astrothelium xanthocavatum, Ocellularia fuscolichexanthonica, Ocellularia lichexanthocavata, Pertusaria amazonica, Phaeographis xantholirellinata, Porina ramiisidiata, Pseudopyrenula connexa, and Sprucidea squamulosa.
Topical Application of Autologous Peripheral Blood Mononuclear Cells in Patients with Small Artery Disease and Diabetic Foot Ulcers: Efficacy, Safety and Economic Evaluation
Authors: Ragghianti Benedetta , Berardi Bianca Maria , Mannucci Edoardo , Monami Matteo
Published: May 2023

BACKGROUND: diabetic foot ulcers (DFU) represent the main cause of major amputations and hospitalizations in diabetic patients. Aim of this study was to assess safety and cost-efficacy of intramuscular injection of peripheral blood mononuclear cells (PBMNCs), in diabetic patients with no-option chronic limb-threatening ischemia (CLTI) and small artery disease (SAD).
METHODS: a retrospective study was carried out on a series of types 2 diabetic patients with DFU grade Texas 3 and no-option CLTI and SAD. All patients had undergone at least a previous revascularization and were allocated in a surgery waiting-list for major amputation. The principal endpoint evaluated at 90 days was a composite of TcPO2 values at the first toe ≥30 mmHg and/or TcPO2 increase of at least 50% from baseline and/or ulcer healing. Secondary endpoint were individual components of the primary endpoint, any serious and non-serious adverse events, direct costs at one year.
RESULTS: the composite endpoint was achieved in 9 patients (60.0 %); one patient (6.7%) healed within 90 days and 26.7% and 46.7% showed TcPO2 ≥30 mmHg and a TcPO2 increase of at least 50% at 90 days, respectively. At 1-year, three (20.0%) patients underwent a major amputation (all diagnosed SAD grade III). One patient died after seven months, and seven patients (46.7%) healed. The overall median and mean cost per patient were 8,238±7,798€ and 4,426[3,798;8,262]€, respectively.
CONCLUSIONS: the use of PBMNCs implants in no-option CLTI diabetic patients with SAD seems to
be of help in reducing the risk of major amputation.
Determining the Safety of the Tobacco Cembranoid (1S,2E,4R,6R,7E,11E)-Cembratriene-4,6-diol (4R): A Translational Study in Nonhuman Primates
Authors: Sabeva Nadezhda , Castro William , Ferrer-Acosta Yancy , Ferchmin Pedro A , Eterovic Vesna A , Sierra-Mercado Demetrio , Pérez-Rios Naydi , Rivas-Tumanyan Sona , Martins Antonio H
Published: May 2023

The tobacco cembranoid (1S,2E,4R,6R,7E,11E)-2,7,11-cembratriene-4,6-diol (4R) is known to induce neuroprotection against brain ischemia, systemic inflammation, Parkinson's disease, and organophosphate toxicity in rodents. Studies examining the compound's safety in male and female Sprague Dawley rats demonstrated no significant side effects after a single injection of 4R at various concentrations (6, 24, or 98 mg/kg). To evaluate the neurotherapeutic feasibility of 4R for clinical trials, we have assessed the safety of this compound in nonhuman primates. We investigated whether 4R induces toxicity in male Macaca mulatta when administered for 11 consecutive days via intravenous injection at a dose of 1.4 mg/kg. Electroencephalogram, somatosensory evoked potential, and transcranial motor evoked potentials were measured at days 0, 4, 8, and 12 and remained unaffected during the experimental study. Spontaneous behavior was not affected between the groups. Small histopathological changes in the organs were observed in some animals, both treated and non-treated; thus, these changes cannot be attributed to 4R. Minor hematological and blood composition variations with no clinical significance were detected in the experimental animals. In conclusion, our data support previous findings that 4R is a non-toxic compound that proved safe in nonhuman primates during the given period and dose.
Low-Noise Amplifier and Neurostimulator in submicron CMOS for Closed-Loop Deep-Brain Stimulation (CLDBS)
Authors: Nordi Tiago Matheus , Gounella Rodrigo Henrique , Ginja Gabriel Augusto , Amorim Márcio Luis , Luppe Maximiliam , Junior João Navarro , Fonoff Erich Talamoni , Colombari Eduardo , Carmo Joao Paulo
Published: May 2023

Deep-Brain Stimulation (DBS) is a a highly effective and safe medical treatment that improves the lives of patients with a wide range of neurological and psychiatric deceases, and has been consolidated as a first-line tool in the treatment of these conditionsin the last two decades. Closed Loop Deep-Brain Stimulation (CLDBS) pushes this tool further by automatically adjusting the stimulation parameters to the brain response in real time. In this context, this paper presents a Low-Noise Amplifier (LNA) and a Neurostimulator circuits fabricated in the low-power/low-voltage 65 nm CMOS process from the TSMC, which were designed targeting implantable applications. To achieve the best trade-off between input-referred noise and power consuption, metaheuristic algorithms were employed to determine and optimizes the dimentions of the LNA devices during the design phase. The measurement results showed that the LNA had a gain of 40.6 dB, a 3 dB bandwidth spanning over three decades from 10 Hz to 8.6 kHz, and a power consumption of 6.19 uW. Simulations results indicated an input-referred noise of 4.86 uVrms for the LNA. The circuit of the Neurostimulator is a programmable Howland Current-Pump, whose measurements showed its ability to generate currents with arbitrary shapes ranging from between 325 uA to +318 uA. The simulations showed a quiescent power consumption of 0.13 W with a zero neurostimulation current. The LNA and the Neurostimulator circuits are supplied with 1.2 V voltage and occupy a microdevice area of 145 um x 311 um and 88 um x 89 um, respectively, making them suitable for implantation in applications involving Closed Loop Deep-Brain Stimulation.
From Darwinism to the Modern Age: How Evolutionary Paradigms Shape the Understanding of Host-Virus Coevolutionary Processes – A Review
Authors: Feronato Sofia Galvão , Silveira Guilherme Ferreira
Published: May 2023

Synthesizing evolution in the post-Darwinian era has been a very challenging endeavor, both because of the large number of perspectives relating to a single natural phenomenon and because of the growing use of technology to map the origin of novelties and selection of biological variation that surpasses Darwin’s original proposal of evolution by means of natural selection. Much has changed since 1859 and many new perspectives on evolution have emerged to dismiss, correct, or incorporate facets of Darwin’s ideas. This review approaches these different theories by focusing on virus-host interactions and descriptions of host-switching events in 4 different viral lineages, as well as their implications for understanding host-switching phenomena themselves.
Trajectory of Spike-Specific B Cells Elicited by Two Doses of BNT162b2 mRNA Vaccine
Authors: Ciabattini Annalisa , Pastore Gabiria , Lucchesi Simone , Montesi Giorgio , Costagli Simone , Polvere Jacopo , Fiorino Fabio , Pettini Elena , Lippi Arianna , Ancillotti Leonardo , Tumbarello Mario , Fabbiani Massimiliano , Montagnani Francesca , Medaglini Donata
Published: May 2023

The mRNA vaccines for SARS-CoV-2 have demonstrated efficacy and immunogenicity in the re-al-world setting. However, most of the research on vaccine immunogenicity has been centered on characterizing the antibody response, with limited exploration into the persistence of spike-specific memory B cell response. Here we monitored the durability of the memory B cell response and characterize the trajectory of spike-specific B cell phenotypes in healthy individuals who have received two doses of the BNT162b2 vaccine up to 9 months post-vaccination. To profile the spike-specific B cell response we applied the tSNE and Cytotree automated approaches. Our data showed the induction of spike-specific IgA+ and IgG+ plasmablasts and IgA+ activated cells 7 days after the second dose which disappeared 3 months later, while subsets of spike-specific IgG+ resting memory B cells became predominant 9 months after vaccination, and they were capable to differentiate into spike-specific IgG secreting cells when in vitro restimulated. Other subsets of spike-specific B cells, such as IgM+ or unswitched IgM+IgD+ or IgG+ double negative/atypical cells, were also elicited by the BNT162b2 vaccine and persisted up to month 9. The analysis of circulating spike-specific IgG, IgA and IgM was in line with the plasmablasts observed.
The longitudinal analysis of the antigen-specific B cell response elicited by mRNA-based vaccines provides valuable insights into our understanding of the immunogenicity of this novel vaccine platform destined to a future widespread use, and it is crucial in guiding future decisions and vaccination schedules.
Technologies Supporting Screening Oculomotor Problems: Challenges for Virtual Reality
Authors: Dæhlen Are , Heldal Ilona , Ali Qasim
Published: May 2023

Oculomotor Dysfunctions (OMDs) are problems with eye-musculature relating to coordination and accuracy of eye movements. Eye-tracking (ET) technologies show great promise in the identification of OMDs. Current computer technologies for vision screening are specialized devices or laptop based technologies with limited by screen size and the inability to measure depth. In this experimental study, we examine the possibilities of immersive virtual reality (VR) technologies for increased user experiences, presence, immersiveness, and the use of serious games. Further results of an experimental study present increased interest in VR-based screening, its ability to focus better, and aspects motivating for its use, despite the actual limitations of current technologies. These limitations currently include lower performance and confidence in results of the used HMDs. Some users also describe being more focused when screening in VR, free from outside distractions. Using serious games for screening in VR is also estimated to have great potential for developing a more robust vision screening tool, especially for younger children.
Is Machine Learning the Best Technique for Plant Detection Through Unmanned Aerial Systems?
Authors: Gambella Filippo , Sanna Francesco , Ghiani Luca , Deidda Alessandro , Sassu Alberto
Published: May 2023

Diffusion in recent decades of Cannabis sativa L. varieties with low concentrations of tetrahydrocannabinol (THC) is leading to a specialization in the whole sector, requiring innovative techniques for input optimization according to the variety and the growing environment. The continuous agricultural evolution aims at increasing the sustainability of cultivation systems, pushing toward precision technologies application for inputs management. Cannabis monitoring can benefit from Unmanned Aerial Systems applications combined with image thresholding techniques for reliable and effective near-real-time plant detection and numbering. The work compares and evaluates the potential of two threshold segmentation techniques for Cannabis plant detection and counting in two experimental fields in Italy on a multitemporal scale, bringing such techniques in competition with machine learning for object detection. The Otsu segmentation technique demonstrated more reliable performances at the early stage of cultivation with an accuracy of 0.95. The Canopy Height Model technique showed increasing performances during the growing season. Future works will compare thresholding segmentation techniques with machine learning (ML) approaches and their potential as a supporting tool for ML image annotation.
Heavy-Tailed Probability Distributions: Some Examples of Their Appearance
Authors: Klebanov Lev b. , Kuvaeva Yulia V. , Rachev Svetlozar T
Published: May 2023

We give two examples of the appearance of heavy-tailed distributions in applications
to social sciences. Among these distributions are the laws of Pareto, Lotka, and some new ones. The examples are illustrated by constructing suitable toy models.