Value Co-Destruction: a Text-Mining-Based Mixed Method Study on Social Media Interactions

To better understand how big data interconnects firms and customers, we analyse the role of customers’ emotions in the process of value co-destruction in a social media context. We perform a text mining based algorithm capable of identifying anger, expectation, disgust, fear, and sadness in peaks of problematic social interactions. The developed algorithm associated with an in-depth qualitative analysis shows how to employ unstructured big data to understand the role of negative emotions in the process of value co-destruction

3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction

ObjectiveThe extent of response to neoadjuvant chemotherapy predicts survival in Ewing sarcoma. This study focuses on MRI radiomics of skeletal Ewing sarcoma and aims to investigate feature reproducibility and machine learning prediction of response to neoadjuvant chemotherapy. Materials and methodsThis retrospective study included thirty patients with biopsy-proven skeletal Ewing sarcoma, who were treated with neoadjuvant chemotherapy before surgery at two tertiary sarcoma centres. 7 patients were poor responders and 23 were good responders based on pathological assessment of the surgical specimen. On pre-treatment T1-weighted and T2-weighted MRI, 2D and 3D tumour segmentations were manually performed. Features were extracted from original and wavelet-transformed images. Feature reproducibility was assessed through small geometrical transformations of the regions of interest mimicking multiple manual delineations, and intraclass correlation coefficient >0.75 defined feature reproducibility. Feature selection also consisted of collinearity and significance analysis. After class balancing in the training cohort, three machine learning classifiers were trained and tested on unseen data using hold-out cross-validation. Results1303 (77%) 3D and 620 (65%) 2D radiomic features were reproducible. 4 3D and 4 2D features passed feature selection. Logistic regression built upon 3D features achieved the best performance with 85% accuracy (AUC=0.9) in predicting response to neoadjuvant chemotherapy. ConclusionCompared to 2D approach, 3D MRI radiomics of Ewing sarcoma had superior reproducibility and higher accuracy in predicting response to neoadjuvant chemotherapy, particularly when using logistic regression classifier

Acute Delta Hepatitis in Italy spanning three decades (1991–2019): Evidence for the effectiveness of the hepatitis B vaccination campaign

Updated incidence data of acute Delta virus hepatitis (HDV) are lacking worldwide. Our aim was to evaluate incidence of and risk factors for acute HDV in Italy after the introduction of the compulsory vaccination against hepatitis B virus (HBV) in 1991. Data were obtained from the National Surveillance System of acute viral hepatitis (SEIEVA). Independent predictors of HDV were assessed by logistic-regression analysis. The incidence of acute HDV per 1-million population declined from 3.2 cases in 1987 to 0.04 in 2019, parallel to that of acute HBV per 100,000 from 10.0 to 0.39 cases during the same period. The median age of cases increased from 27 years in the decade 1991-1999 to 44 years in the decade 2010-2019 (p < .001). Over the same period, the male/female ratio decreased from 3.8 to 2.1, the proportion of coinfections increased from 55% to 75% (p = .003) and that of HBsAg positive acute hepatitis tested for by IgM anti-HDV linearly decreased from 50.1% to 34.1% (p < .001). People born abroad accounted for 24.6% of cases in 2004-2010 and 32.1% in 2011-2019. In the period 2010-2019, risky sexual behaviour (O.R. 4.2; 95%CI: 1.4-12.8) was the sole independent predictor of acute HDV; conversely intravenous drug use was no longer associated (O.R. 1.25; 95%CI: 0.15-10.22) with this. In conclusion, HBV vaccination was an effective measure to control acute HDV. Intravenous drug use is no longer an efficient mode of HDV spread. Testing for IgM-anti HDV is a grey area requiring alert. Acute HDV in foreigners should be monitored in the years to come

Impact Indexes Comparison Study Using Environmental Product Declarations (EPDs) on Innovative Cement Bound Granular Material Pavement Layers

In the last decades, the need to perform experiments with innovative new materials to be used in civil engineering and replace Portland Cement (PC) by embracing the concept of circular economy and environmentally sustainable engineering. PC production is responsible each year of 8% of the total CO2 emitted into the atmosphere, for this reason, it is vital to find valid alternatives to PC. Such innovative materials must not only have good mechanical and physical performances if comparedwith PC but also be obtainedwith very lowCO2 emissions. In this research innovative mix designs for road Cement Bound Granular Material (CBGM) layers were analyzed to evaluate the environmental impact, in which PC was partially replaced with Anhydrous Calcium Sulphate (ACS), a by-product of the hydrofluoric acid industrial production process. This paper analyzes the Environmental Product Declarations (EPD) of two main mixes, one with 3% of ACS and 2% of cement and the other one with 4% ACS and only 1% of cement. The selected mixes had already been studied from a mechanical and physical point of view. Laboratory and in situ tests ensured good mechanical and physical performances. This paper wanted to analyze the environmental impacts of such mixes using the EPD of each material forming the CBGM layers. For comparison, two reference mixes one with only 5% of PC and the other with 5% of Green Cement (GC) were also analyzed. The research aims to compare the blends and evaluate themix design with less environmental impacts. Twelve mix designs were considered, varying the type of hydraulic binders, that is PC, GC, and ACS and also the type of aggregates divided into Natural Aggregate (NA) and Recycled Aggregate (RA). The best design solution for the Global Warming Potential (GWP), which is one of the EPD parameters, was the mix incorporating 1% GC, 4% ACS and only RA

Shoulder ultrasound: current concepts and future perspectives

Ultrasonography is an established and effective imaging technique that can be used to evaluate articular and periarticular structures around the shoulder. It has been shown to be useful in a wide range of rotator cuff diseases (e.g. tendon tears, rotator cuff calcific tendinopathy and bursitis) as well as non-rotator cuff abnormalities (instability, synovial joint diseases and nerve entrapment syndrome). A scanning protocol is highly recommended to reduce the rate of operators’ errors by following a standardized scheme including a list of main structures. Shoulder ultrasound has several advantages: it is a relatively cheap and widely available technique, free from ionizing radiation, that can reach excellent diagnostic accuracy even compared to magnetic resonance imaging. Moreover, it is the only imaging technique that allows dynamic evaluation of musculoskeletal structures, which is important for the evaluation of impingement. Also, due to the shoulder’s superficial anatomical position, ultrasound can also be helpful in guiding interventional percutaneous procedures, both for diagnostic (e.g. magnetic resonance arthrography) and therapeutic purposes (e.g. percutaneous treatment of calcific tendonitis). Contrast-enhanced ultrasound and speckle tracking offer complimentary evaluations of shoulder anatomy and biomechanics. Moreover, the advent of ultra-high-frequency US, with probes up to 70 MHz allowing for a resolution as low as 30 μm, is a promising tool for further evaluation of the shoulder anatomy, and diagnostic and therapeutic strategies

Fingolimod phosphoramidate prodrugs: Synthesis, photophysical characterisation and lipid bilayer interaction of fluorescent tagged Prodrug

FTY720 (Fingolimod, Gilenya, 1), a structural analog of sphingosine (2) was the first orally administered drug approved for the treatment of multiple sclerosis (MS). However, the phosphate derivative of Fingolimod, namely Fingolimod-1-phosphate (FTY720-1P, 3) is the biologically active molecule in MS as well as in various lysosomal storage diseases such as mucolipidosis IV and Nieman-Pick. In all cases, Fingolimod requires to be phosphorylated, resembling the natural sphingosine phosphate (4), to accomplish its therapeutic/biological effects. Here, we report the synthesis of a small library of prodrugs that could provide the efficient delivery of 3, the bioactive species. Moreover, to gain insight about the biological behaviour of these novel candidates within human body such as cell and brain blood barrier penetration we have prepared and spectroscopically characterised a fluorescent tagged version of one of the new prodrugs. The behavior of our prodrugs with respect to biological membranes was evaluated by studying the interaction between the fluorescent prodrug 18 and DOPC/DPPC liposome models

AI applications in musculoskeletal imaging: a narrative review

Abstract This narrative review focuses on clinical applications of artificial intelligence (AI) in musculoskeletal imaging. A range of musculoskeletal disorders are discussed using a clinical-based approach, including trauma, bone age estimation, osteoarthritis, bone and soft-tissue tumors, and orthopedic implant-related pathology. Several AI algorithms have been applied to fracture detection and classification, which are potentially helpful tools for radiologists and clinicians. In bone age assessment, AI methods have been applied to assist radiologists by automatizing workflow, thus reducing workload and inter-observer variability. AI may potentially aid radiologists in identifying and grading abnormal findings of osteoarthritis as well as predicting the onset or progression of this disease. Either alone or combined with radiomics, AI algorithms may potentially improve diagnosis and outcome prediction of bone and soft-tissue tumors. Finally, information regarding appropriate positioning of orthopedic implants and related complications may be obtained using AI algorithms. In conclusion, rather than replacing radiologists, the use of AI should instead help them to optimize workflow, augment diagnostic performance, and keep up with ever-increasing workload. Relevance statement This narrative review provides an overview of AI applications in musculoskeletal imaging. As the number of AI technologies continues to increase, it will be crucial for radiologists to play a role in their selection and application as well as to fully understand their potential value in clinical practice. Key points • AI may potentially assist musculoskeletal radiologists in several interpretative tasks. • AI applications to trauma, age estimation, osteoarthritis, tumors, and orthopedic implants are discussed. • AI should help radiologists to optimize workflow and augment diagnostic performance. Graphical Abstrac

Ultrasound-guided musculoskeletal interventional procedures around the elbow, hand and wrist excluding carpal tunnel procedures

Ultrasound is a fast, reliable and radiation-free method for the assessment of a wide range of pathological conditions, as well as for the guidance of percutaneous interventional procedures around the elbow, hand and wrist. Intraarticular and periarticular interventional procedures can be easily performed under continuous ultrasound monitoring to ensure correct needle positioning and medication delivery to a specific target. The most common ultrasound-guided procedures performed around the elbow, wrist, and hand are described in this review, excluding carpal tunnel procedures. Specifically, elbow steroid injections are performed in patients with inflammatory disorders, while hyaluronic acid can be administered in case of osteoarthritis. Septic olecranon bursitis requires percutaneous drainage for diagnosis and appropriate treatment. Dry needling and injection of regenerative medications, such as blood derivatives, are among the treatment options for lateral epicondylosis. Steroid injections are performed to give symptom relief in patients with ulnar neuropathy at the elbow. Hand and wrist steroid injections are performed in case of osteoarthritis, subsequently followed by hyaluronic acid injections, and in inflammatory disorders. Wrist ganglia can be safely aspirated and injected with steroids under ultrasound guidance. De Quervain’s tenosynovitis and trigger finger are chronic tenosynovitides of the wrist and digits, respectively, which can be treated with steroid injections, subsequently followed by hyaluronic acid injections. In conclusion, proper knowledge of the musculoskeletal disorders around the elbow, hand and wrist, as well as US-guided treatment options and operator training, are prerequisites to achieve good outcomes

Ultrasound-guided musculoskeletal interventional procedures around the shoulder

Ultrasound is a fast, accessible, reliable, and radiation-free imaging modality routinely used to assess the soft tissues around the shoulder. It enables to identify a wide range of pathological conditions. Furthermore, most ultrasound-guided musculoskeletal interventional procedures around the shoulder produce better results in terms of accuracy and clinical efficacy than those performed in a blinded fashion. Indeed, intra-articular and peri-articular interventional procedures can be easily performed under continuous ultrasound monitoring to ensure the correct position of the needle and to deliver the medication to a specific target. Several technical approaches and medications can be used to treat different causes of painful shoulder. Intra-articular injections are applied to treat acromioclavicular osteoarthritis as well as glenohumeral joint osteoarthritis and adhesive capsulitis. Subacromial-subdeltoid bursitis, either presenting as a primary inflammatory condition or secondary to rotator cuff disorders, can be easily approached using ultrasound guidance to aspirate synovial effusion and to inject medications. Ultrasound-guided percutaneous irrigation is a well-established technique increasingly applied to treat patients with rotator cuff calcific tendinopathy. Also, degenerative rotator cuff tendinopathy can be conservatively treated by image-guided interventions, specifically with needling under ultrasound guidance that can be associated with injections of platelet-rich plasma. Lastly, periarticular peripheral nerve block can be quickly and safely performed under ultrasound guidance, particularly in conditions involving the suprascapular nerve in the setting of pre-operative analgesia or pain treatment in glenohumeral osteoarthritis and adhesive capsulitis. In this article, the most common ultrasound-guided procedures around the shoulder have been reviewed to discuss indications and techniques