Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of the Laser Photobiomodulation (PBM) in the Management of Patients at Risk or Affected by MRONJ

Medication-Related Osteo-Necrosis of the Jaws (MRONJ) is a severe painful complication of the long-lasting administration of bisphosphonates and anti-resorptive and anti-angiogenetic drugs in neoplastic and dysmetabolic patients, secondary to minor surgical oral interventions or chronic epithelial decubitus ulcers. Its pathogenesis is still largely unknown even if the activity change of the osteoclasts plays a relevant role in bone remodeling. The management of these patients aims to prevent the onset of the pathology or to reduce the pain and remove the necrotic bone, promoting the healing of the pathological area. Photobiomodulation therapy (PBMT), the therapeutic application of low-energy laser or LED lights, was recently introduced in the management of this condition. Thanks to its therapeutic and biomodulating action on the irradiated tissues, PBM can be used alone or in combination with antibiotic and antibacterial therapies as a preventive, antalgic or palliative tool, and in support of surgery in a combined multi-protocol that leads to a positive and better resolution and healing of the pathologic process, with great improvement of the Quality of Life (QoL) of the patients. In this narrative review, a wide analysis of the various applications of PBM in MRONJ patients’ management is analyzed, emphasizing its role as supportive care for this condition.
Recent advances of engineered and artificial drug delivery system towards solid tumor based on immune cells

Precise drug delivery in cancer treatment is a long-standing concern of modern medicine. Compared with traditional molecular medicines and nano-medicines, emerging cell-based biomimetic delivery strategies display numerous merits, including successive biological functions, innate biocompatibility and superior security since they originate from living organisms, providing a very promising approach. Among them, immune cells receive increasing attention because of their inherent ability in tumor resistance, pathogen elimination, and other significant physiological functions. Herein, we investigated the recent advances on immune cell-based high efficient delivery and therapeutic strategies in solid tumor treatment, mainly focus on T cells, natural killer cells and macrophages, which have been used as drug cargos directly or provided membrane/exosomes as nanoscale drug delivery systems. We also discuss the further potential applications and perspective of this innovative strategy, as well as the predictable challenges in forward exploration in this emerging area.
Early non-neutralizing, afucosylated antibody responses are associated with COVID-19 severity

A damaging inflammatory response is implicated in the pathogenesis of severe coronavirus disease 2019 (COVID-19), but mechanisms contributing to this response are unclear. In two prospective cohorts, early non-neutralizing, afucosylated immunoglobulin G (IgG) antibodies specific to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were associated with progression from mild to more severe COVID-19. To study the biology of afucosylated IgG immune complexes, we developed an in vivo model that revealed that human IgG–Fc-gamma receptor (FcγR) interactions could regulate inflammation in the lung. Afucosylated IgG immune complexes isolated from patients with COVID-19 induced inflammatory cytokine production and robust infiltration of the lung by immune cells. In contrast to the antibody structures that were associated with disease progression, antibodies that were elicited by messenger RNA SARS-CoV-2 vaccines were highly fucosylated and enriched in sialylation, both modifications that reduce the inflammatory potential of IgG. Vaccine-elicited IgG did not promote an inflammatory lung response. These results show that human IgG-FcγR interactions regulate inflammation in the lung and define distinct lung activities mediated by the IgG that are associated with protection against, or progression to, severe COVID-19. Description Divergent early antibody structures are associated with severe COVID-19 and are functionally distinct from mRNA vaccine–elicited antibodies in vivo. Afucosylated antibodies Severe coronavirus disease 2019 (COVID-19) is associated with a hyperactive inflammatory response, but the mechanisms driving this response remain unclear. Here, Chakraborty et al. investigated the role of antibody fucosylation in driving COVID-19 severity. The authors found that severe COVID-19 was associated with increased abundance of non-neutralizing, afucosylated immunoglobulin G (IgG) antibodies, which were not present in those with milder disease or in those receiving COVID-19 mRNA vaccines. The authors administered immune complexes formed by spike protein and antibodies from patients with severe or mild COVID-19, as well as vaccine-elicited antibodies, to the lungs of mice expressing human Fc receptors, finding that antibodies from individuals with severe COVID-19 drove inflammatory cytokine production and immune cell infiltration into the lung. Together, these findings implicate early non-neutralizing, afucosylated IgG antibodies in COVID-19.
An Improved Cascade Buck Converter for High Step-Down DC-DC Applications

This article focuses on the efficiency improvement of the cascade buck converter (CBC). By changing the position of the second stage inductor, the output current is shared between both the first and second stage inductors and as a result, the total volume of the magnetic components and their conduction losses are decreased. Besides, by proper design of the inductors, the frequency of the output current ripple will increase to twice the conventional CBC with lower p-p amplitude, which results in a further decrease in the size of passive components. The proposed improved CBC is analyzed, and its operating principles are presented. The theoretical analysis is verified by the experimental results of a 400-V input and 24 V–120 W output prototype converter.
Mechanical, thermal, and flammability properties of polyamide-6 reinforced with a combination of carbon nanotubes and titanium dioxide for under-the-hood applications

The current study aims to explore the tensile fracture mechanism and thermo-mechanical efficiency of polyamide-6 (PA6) reinforced with titanium dioxide (TiO2) and multiwalled carbon nanotubes (MWCNTs). The uniform dispersion of the MWCNTs and appreciable interfacing between PA6, TiO2, and MWCNTs were revealed in the fractography figures. The crystallization temperature and degree of crystallinity have been enhanced by the addition of nanoparticles to the PA6 matrix. Young’s modulus, tensile strength, and Charpy impact strength improved proportionally concerning reinforcement content. The essential work of fracture (EWF) method was applied to evaluate the toughening and fracture behavior of PA6 hybrid systems. Considerable improvement (+60.6%) in the EWF of PA6–TiO2–MWCNT nanocomposites was observed at 4 wt. % CNT and 2 wt. % TiO2. Limiting oxygen index (LOI) findings demonstrate that a polymer with a combination containing titanium dioxide and multiwalled carbon nanotubes has a highly substantial retardant influence. As a result, the TiO2–CNT combination acts as a synergist filler, offering versatile PA6 composite products.
Merton model’s prediction and empirical evidence on bond and equity prices reaction to new bond issues

ABSTRACT I use the Merton model as a theoretical framework to assess 1) the expected impact of a new bond offering on existing bond and stock prices, and 2) how the bond and stock price reactions are conditioned on characteristics of the new and existing bonds and the planned use of the new funds. Consistent with the Merton model prediction, I find negative and significant average abnormal returns of issuers’ existing bonds over a three-day event window surrounding the announcement of new bond issues. In contrast, average abnormal stock returns of the issuing firms are positive but insignificant. Bond market announcement returns estimated using daily corporate bond data from TRACE are more negative for longer-term outstanding bonds and less negative when the new bonds are junior to existing bonds. I also find that the bond price reaction (stock price reaction) is more negative (less positive) when funds are to be used for expansion than when they are to be used to repurchase stock.
Study of the Effect of Leucine on Calcium Carbonate Precipitation in a Circular Economy Perspective

This paper studies the crystallization of calcium carbonate in the presence of leucine—a green additive. The effect of leucine on calcium carbonate precipitation kinetic is particularly interesting since CaCO3 is a valuable product worthy to be recovered from industrial liquid wastes (e.g., desalination brines) in the circular economy approach. Experiments have been performed in a laboratory scale plant with a supersaturation range which spams from 2 to 120 and two different leucine concentration (0.520 × 10−3 and 1.041 × 10−3 mol/L). Results obtained have been compared with previous published ones, carried out without any additives. From the measurements of induction times for calcium carbonate nucleation, it was established that in solution, the leucine favors the precipitation of calcium carbonate, so it can be considered a promoter in calcium carbonate crystallization and this behavior enhances when raising its concentration in solution. Interfacial tension was determined for both leucine concentration levels, and the values obtained are in the range 51–84 mJ/m2.
Unsteady Experimental Characterization of the Natural Wake of a Squareback Ahmed Model

The increasing demand for such vehicles as station wagons or minivans has focused aerodynamic research for drag reduction on squareback models of which, the one proposed by Ahmed et al. [1] is one of the most used. The presented study aims at finely characterize the natural wake of a 1:1 squareback Ahmed body with experimental measurements, in order to draw possible strategies for drag reduction. Our analysis focused both on the detection of the mean wake topology, by means of 2D PIV as well as parietal pressure measurements, and on the study of the spectral fluctuations of velocity and pressures. The experimental results exhibit a left/right bistable behavior for the wake, highly sensitive to the incoming wind yaw angle, so that, most generally, the mean aerodynamic field shows an asymmetric behavior due to the predominance of one of the two stable positions. The characterization of the mean wake by averaging the fields on the whole acquisition time can then be biased and show an asymmetrical wake. Then, as far as the symmetric average field is of interest, it is relevant to study separately each topology using conditional averaging, and then build a symmetrical field by averaging the two bistable phases. The analysis shows that the well-known symmetrical wake and the corresponding rear pressure field derive from a random rotation of the toric recirculation bubble, which can induce instantaneous pressure losses of about 25%. The bistability does not affect the spectral energy distribution. Our results show a spectral activity mostly at low frequencies. In particular, we found in measurements along the vertical symmetry plane a peak at StH = 0.07, indicating the presence of the “bubble pumping” phenomenon, whereas pressure measurements at vehicle mid-height indicate the existence of vortex shedding. © 2014 ASME
Reservoir management of the Wytch Farm Oil Field, Dorset, UK: providing options for growth into later field life

The Wytch Farm Oil Field, currently on plateau, produces up to 110 × 10 3 BOPD, 17.6 × 10 6 SCF gas and 725 tonnes LPG per day. Original reserves are 450 × 10 6 BBL with a proven 230 × 10 6 BBL oil equivalent remaining. The Triassic fluvio-lacustrine Sherwood Sandstone, at 1535mTVDSS (true vertical depth, subsea), is the largest and most prolific reservoir. Approximately half the reserves are in an offshore extension being developed by extended reach drilling (ERD) at step-outs of up to 10.1 km from onshore Poole Harbour. Projects to increase reserves, extend plateau and slow decline include: additional ERD wells; infill drilling; miscible gas injection; and pattern water flooding of the low nett: gross Upper Sherwood all whilst maintaining reservoir pressure. Reservoir description is central to realizing these opportunities for growth. Structural uncertainty has been reduced through acquisition of the first transition-zone 3D seismic survey in the UK. An extensive RFT (repeat formation test) and production log database has been acquired in the onshore and ERD wells. These dynamic data, together with static data from core and outcrop studies, and >21km of ERD formation evaluation logs, are used to develop a high-resolution, fluvio–lacustrine sequence architecture of the Sherwood. The deterministic model enhances predictability of flow barriers, baffles and high permeability intervals. This understanding of fluid flow and recovery provides the framework for economic evaluation, which, with clear communication of uncertainty across disciplines, is the key to successful management of the reservoir into later field life.
Determinants of Poverty in Indonesia: An Empirical Evidence using Panel Data Regression

This study aims to analyze the effect of the rate of economic growth, average length of schooling, dependency ratio, and life expectancy on the percentage of poor people in Indonesia. This study uses panel data consisting of 34 provinces in Indonesia during the period 2016 to 2020. The analysis model used in this study is a panel data regression model. The results found in this study are variables that have a significant effect on the percentage of poor people in Indonesia are the average length of schooling, dependency ratio, and life expectancy. Meanwhile, the variable rate of economic growth has not had a statistically significant effect on the percentage of poor people in Indonesia. The variables of average length of school and life expectancy have a negative and significant effect on the percentage of poor people so that aspects of the quality of human resources represented by the level of education and health have an important role in poverty alleviation. Meanwhile, the dependency ratio has a positive and significant effect on the percentage of the poor, so various policies are needed to control population growth so that the productive population does not have too high a burden to bear the needs of the non-productive population.
PAxSPL: A Generic Framework to Support the Planning of SPL Reengineering

Extractive Software Product Line (SPL) is a well-known approach that organizations can use to transform their legacy applications into an SPL. In this sense, the SPL reengineering process emerges as a possible strategy for applying the extractive SPL. Available artifacts used to perform the SPL reengineering may change, requiring software engineers to adapt their approaches as a means to satisfying the companies' scenarios. However, there is a lack of an approach supporting this adaptation considering different scenarios. To address these limitations we propose the Prepare, Assemble, and Execute Framework SPL reengineering (PAxSPL). PAxSPL is composed of three different aspects: a process, guidelines, and a supporting tool. For evaluating PAxSPL, we extracted eight different scenarios from the literature. Results evidenced that PAxSPL is customizable to a variety of scenarios with different reengineering artifacts, techniques, and activities.
ESTIMATION OF MILD HEALTH DISORDER CAUSED BY URBAN AIR TEMPERTURE INCREASE WITH MIDPOINT-TYPE IMPACT ASSESSMENT METHODOLOGY

A survey was conducted to evaluate Tokyo residents’ willingness to pay (WTP) to avoid mild heat disorders during a specified period. As a result, both of the WTPs to avoid feeling of listlessness/fatigue and febrile sensation increased with the temperature when the daily maximum air temperature is over 26.9 �C, and the WTP to avoid restless sleep showed an increase with the temperature when the daily maximum air temperature is above 29.4 �C. Fatigue caused by the air temperature rise was estimated to have been the second largest impact in our society after sleep disturbance.
Deep Learning and Its Applications in Computational Pathology

Deep learning techniques, such as convolutional neural networks (CNN), generative adversarial networks (GAN), and graph neural networks (GNN), have over the past decade changed the ac-curacy of prediction in many diverse fields. In recent years, the application of deep learning tech-niques in computer vision tasks in pathology demonstrated extraordinary potential in assisting clinicians, automating diagnosis, and reducing costs for patients. Formerly unknown pathologi-cal evidence, such as morphological features related to specific biomarkers, copy number varia-tions, and other molecular features, were also able to be captured by deep learning models. In this paper, we review popular deep learning methods and some recent publications about their appli-cations in pathology.
Mobile ECG monitoring for atrial fibrillation management: A literature review

Atrial fibrillation is the most prevalent arrhythmia associated with the risk of developing stroke and heart failure. Catheter ablation and electrical cardioversion are standard interventional procedures to treat atrial fibrillation. Patients are recommended to undertake regular heart rhythm assessment after the procedure due to the high recurrence rate of atrial fibrillation. Multiple mobile applications with high sensitivity and accuracy rates in rhythm analysis have been developed to support on-demand rhythm monitoring. This literature review aims to provide an overview of emerging evidence about the impact of mobile ECG monitoring on AF management. Keywords and index terms used in the search strategy include "atrial fibrillation" AND "mhealth" OR "mobile health" OR "mobile app" OR "mobile application" OR smartphone OR mobile AND "electrocardiography", "electrocardiogram" OR "ECG" OR "monitoring". A search using all identified keywords and index terms was undertaken across the following databases: PubMed, CINAHL, and EMBASE. Incorporating the novel mobile ECG monitoring technology in the guideline-adherent integrated AF care model may reduce rehospitalisation, improve HRQoL, and better patient clinical outcomes. Mobile applications with ECG monitoring functions can provide user-friendly on-demand rhythm monitoring, facilitating the early detection of recurrent AF post-ablation.
Total Phenolic, Anthocyanins HPLC-DAD-MS Determination and Antioxidant Capacity in Black Grape Skins and Blackberries: A Comparative Study

Anthocyanins are flavonoids with an antioxidant effect. They are the pigments that give rich colours to berries, red onions, pomegranates, and grapes. In addition to acting as antioxidants and fighting free radicals, anthocyanins may offer anti-inflammatory, anti-viral, and anti-cancer benefits. Among various types of fruits, blackberries and grapes are distinguished by their rich content in polyphenols, including anthocyanins. The purpose of this study was the identification and quantification of the anthocyanins in black grape skins and blackberries, but also the determination of the total phenolic content and total antioxidant capacity. The grape skins and blackberry extracts were prepared by an ultrasound-assisted acidified ethanol and methanol extraction method, with the 80% methanol solution being the most effective. Alcoholic extracts of blackberries and grape skins were analysed by the HPLC-DAD-MS method. There were five glycosylated anthocyanin compounds in blackberries, eight glycosylated anthocyanins compounds, and seven fragments of anthocyanin derivatives in grape skins identified. It was concluded that the anthocyanin profile of blackberries and grapes revealed mainly anthocyanin monoglycosides and acetylglycosides. Cyanidin-3-glucoside was the main component (86.49%) in blackberries, while, in the grape skins, the main component was delphinidin-3-O-glucoside (about 40.64%). Principal component analysis (PCA) was carried out on the basis of the 13 identified compounds in order to separate the extracts and describe the anthocyanins characteristics of different groups, the findings being in agreement with the experimental results. Compared to methanol extracts, ethanol extracts showed higher antioxidant activity, being related to the total phenolic content for the blackberries. Overall, the obtained results indicated that the blackberries and grapes skins possessed a high antioxidant content, similar to other berries, highlighting their potential use as fresh functional foods or fruit-derived products.
Seventy years of bariatric surgery: A systematic mapping review of randomized controlled trials

While research publications on bariatric surgery (BS) have grown significantly over the past decade, there is no mapping of the existing body of evidence on this field of research. We performed a systematic review followed by a mapping of randomized controlled trials (RCTs) in BS for people with obesity. From January 2020 to December 2020, we performed a systematic review of RCTs evaluating BS, versus another surgical procedure, or versus a medical control group, through a search of Embase and PubMed. There was no restriction on outcomes for study selection. A total of 114 RCTs were included, most (73.7%) of which were based on a comparison with Roux‐en‐Y gastric bypass (RYGB) and conducted between 2010 and 2020. Only 15% of the trials were multicenter and few (3.5%) were international. The median number of patients enrolled was 61 (interquartile range [IQR]: 47.3–100). Follow‐up time was 1 to 2 years in 36% and 22.8% of the trials, respectively. Weight loss was the most studied criterion (87% of RCTs), followed by obesity‐related diseases, and medical and surgical complications (73%, 54%, and 47% of RCTs, respectively). Nutritional deficiency frequency, body composition, and mental health were little studied (20%, 18% and 5% of RCTs, respectively). Our literature review revealed that much research in BS is wasted because of replication of RCTs on subjects for which there is already body of evidence, with small populations and follow‐up times mostly below 2 years. Yet several research questions remain unaddressed, and there are few long‐term trials. Future studies should take into account the experience of the past 70 years of research in this field.
Antibacterial Activity and Epigenetic Remodeling of Essential Oils from Calabrian Aromatic Plants

Natural compounds have historically had a wide application in nutrition. Recently, a fundamental role has been identified for essential oils extracted from aromatic plants for their nutritional, antimicrobial, and antioxidant properties, and as food preservatives. In the present study, essential oils (EOs) from ten aromatic plants grown in Calabria (Italy), used routinely to impart aroma and taste to food, were evaluated for their antibacterial activity. This activity was investigated against Escherichia coli strain JM109, and its derived antibiotic-resistant cells selected by growing the strain at low concentrations of ampicillin, ciprofloxacin, and gentamicin by measuring the minimum inhibitory concentration (MIC) and the minimum bactericidal concentration (MBC). Although all the essential oils showed bactericidal activity, those from Clinopodium nepeta, Origanum vulgare, and Foeniculum vulgare displayed the greatest inhibitory effects on the bacterial growth of all cell lines. It is plausible that the antibacterial activity is mediated by epigenetic modifications since the tested essential oils induce methylation both at adenine and cytosine residues in the genomes of most cell lines. This study contributes to a further characterization of the properties of essential oils by shedding new light on the molecular mechanisms that mediate these properties.