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53. Transcranial magnetic stimulation in the treatment of phantom limb pain: a systematic review

Author

Gabriel Rocha Santos Knorst, Phamella Rocha de Souza, Armani Gontijo Plácido Di Araújo, Samantha Avanço Ferraz Knorst, Denise Sisterolli Diniz, and Hélio Fernandes da Silva Filho

Subjects
Phantom Limb, Transcranial Magnetic Stimulation, Pain, Systematic Review, Membro Fantasma, Estimulação Magnética Transcraniana, Dor, Revisão Sistemática, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background Phantom limb pain (PLP) occurs after amputations and can persist in a chronic and debilitating way. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive neuromodulation method capable of influencing brain function and modulating cortical excitability. Its effectiveness in treating chronic pain is promising.

Published
2024
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54. Non-planar graphene directly synthesized on intracavity optical microresonators for GHz repetition rate mode-locked lasers

Author

Oleksiy Kovalchuk, Sungjae Lee, Hyowon Moon, Andrea M. Armani, and Yong-Won Song

Subjects
Materials of engineering and construction. Mechanics of materials, TA401-492, Chemistry, QD1-999
Abstract

Abstract Generation of high-speed laser pulses is essential for sustaining today’s global, hyper-connected society. One approach for achieving high spectral and temporal purity is to combine optical nonlinear materials with spectral filtering devices. In this work, a graphene-coated microresonator integrates a nonlinear material and a spectral filtering platform into a single device, creating a tunable GHz repetition rate mode-locked fiber laser. The graphene is directly synthesized on the non-planar surface of microresonator, resulting in a uniform, conformal coating with minimal optical loss in the device. The whispering gallery modes of the resonator filter the propagating modes, and the remaining modes from the interaction with graphene lock their relative phases to form short pulses at an elevated repetition rate relying on inter-modal spectral distance. Additionally, by leveraging the photo-thermal effect, all-optical tuning of the repetition rate is demonstrated. With optimized device parameters, repetition rates of 150 GHz and tuning of 6.1 GHz are achieved.

Published
2024
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55. An Overview of a Re-Emerging Disease in Italy: Bovine Tuberculosis Outbreaks in Cattle from MTBC-Free Territories

Author

Alice Giusti, Lorenzo Carbonetta, Filippo Fratini, Gabriele Spatola, Fiorenza Panerai, Stefano Pardini, Luca Cianti, and Andrea Armani

Subjects
Mycobacterium bovis, zoonotic disease, eradication programmes, regional plans, surveillance, competent authority, Medicine
Abstract

Bovine tuberculosis (bTB) is a zoonotic disease with consequences for public health as well as the economy. In the EU, compulsory eradication programmes have been applied, and most territories in Italy have been reported as disease-free (FTs). However, outbreaks (OBs), i.e., an officially confirmed occurrence of bTB in one or more animals in an establishment, have continued to be reported. In this study we provide an overview of bTB in terms of OB numbers in cattle from Italian FTs. Legislative sources were collected to find the FTs, the relevant declaration of free status year (FSY), and regional control and surveillance plans. Then, descriptive and statistical analyses were applied to the collected OBs. A total of 12 regions and 19 provinces were declared FTs in the 20 years from 2003 to 2023. Differences in regional plans were observed with respect to the percentages of herds that were annually controlled (control frequency). Overall, 370 OBs were recorded. A non-statistically significant decrease in the OB incidence rate after the FSY was declared. However, a notable increase in OBs detected at slaughterhouses after the FSY suggests that control systems (serological tests) at the herd level are not completely effective. Differences in the herds’ control frequencies among FTs seem to not have had a significant influence on the observed OB number. The Tuscany region was the most affected FT based on the OB numbers after the FSY (especially in the last year). Epidemiologically relevant primary determinants seem to be the farming system (semi-extensive and adjacent herds) and the cattle movements from positive incidence areas (trade and animal fairs). The role of wild boars in the disease maintenance cannot be excluded. The results of this study stress the need to revise bTB eradication and surveillance plans based on risk analysis.

Published
2024
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56. Luminescence from ZAIS quantum dots: radiative or nonradiative

Author

Moradi, Yasaman, Zeto, Rene, and Armani, Andrea M.

Subjects
Physics - Optics, Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

Quantum dots have found applications across the semiconductor and biotechnology industries, improving energy efficiency, color purity, and imaging capability. However, the standard quantum dot relies on a heavy metal architecture, which has undesirable environmental impacts. Thus, alternative material systems are desirable. One strategy is the ZnS-AgInS2 (ZAIS) quantum dot which has a metal dichalcogenide chemical structure. Unlike heavy metal quantum dots, these nanoparticles luminesce even when defects are present, and their emission wavelength is tuned by varying the relative composition. Past works have linked the source of this luminescence to a defect-assisted transition recombination process, but the precise mechanism is still unclear. In this work, we investigate the physics of this defect-assisted transition by systematically varying the concentration of defects through a simple quick-cool thermal annealing process which provides control over the crystalline disorder of the nanoparticle. Using a combination of ultraviolet photoelectron spectroscopy and fluorescence measurements, information about the nature of the defect-assisted transition is obtained. In contrast to previous work, we find that the ZAIS quantum dot luminescence has an electronic-based rather than defect-assisted transition mechanism., Comment: 22 pages, 7 figures, includes SI material

Published
2021

57. A Cost-Effective Workload Allocation Strategy for Cloud-Native Edge Services

Author

Armani, Valentino, Faticanti, Francescomaria, Cretti, Silvio, Kum, Seungwoo, and Siracusa, Domenico

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Nowadays IoT applications consist of a collection of loosely coupled modules, namely microservices, that can be managed and placed in a heterogeneous environment consisting of private and public resources. It follows that distributing the application logic introduces new challenges in guaranteeing performance and reducing costs. However, most existing solutions are focused on reducing pay-per-use costs without considering a microservice-based architecture. We propose a cost-effective workload allocation for microservice-based applications. We model the problem as an integer programming problem and we formulate an efficient and near-optimal heuristic solution given the NP-hardness of the original problem. Numerical results demonstrate the good performance of the proposed heuristic in terms of cost reduction and performance with respect to optimal and state-of-the-art solutions. Moreover, an evaluation conducted in a Kubernetes cluster running in an OpenStack ecosystem confirms the feasibility and the validity of the proposed solution.

Published
2021

60. Build-at-home UV-C disinfection system for healthcare settings

Author

She, Rosemary C., Chen, Dongyu, Pak, Pil, Armani, Deniz K., Schubert, Andreas, and Armani, Andrea M.

Subjects
Physics - Medical Physics, Physics - Physics and Society, Quantitative Biology - Other Quantitative Biology
Abstract

Significant research has shown that UV-C exposure is an effective disinfectant for a range of bacteria and viruses, including coronaviruses. As such, a UV-C treatment in combination with a chemical wipe, such as EPA hydrogen peroxide, is a common cleaning protocol in a medical setting, and such disinfection protocols have gained in importance during the current COVID-19 pandemic due to the need to reuse PPE. However, given the substantial increase in patient volume, the quantity of materials requiring disinfection exceeds the UV-C equipment throughput capabilities at many medical facilities. Therefore, there is a need for a UV-C disinfection system that can be rapidly deployed. In response to this demand, we designed, constructed, and validated a UV-C disinfection system from readily accessible components; specifically, a plastic bin, UV-C light bulb and conventional light housing. To further improve the performance, the interior of the tub was spray-painted with chrome paint, forming a low quality-factor (Q) Fabry-Perot optical cavity. As part of this work, a set of modular design criteria which allows for flexibility in component selection without degradation of UV-C dose performance is established. This flexibility is critical given the current fluctuating availability of source materials. The disinfection capabilities of the system are validated using Bacillus cereus, a gram-positive endospore-forming bacteria., Comment: 7 pages, 4 figures

Published
2020

61. Mapping the occurrence of Eustrongylides spp. in fish species caught from six lakes in Central Italy (Tuscany and Latium regions): Implications for local fishery supply chains

Author

Marta Di Maggio, Miriana Coltraro, Lara Tinacci, Lisa Guardone, Enrica Ricci, Carlo Corradini, Francesca Susini, and Andrea Armani

Subjects
Zoonotic parasites, Seafood products, Risk assessments, Food quality and safety, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

In the present study, in order to expand the knowledge on the distribution of parasites of the genus Eustrongylides in never investigated Italian lacustrine areas of Tuscany and Latium, fish specimens from four Tuscan lakes (Bilancino, Chiusi, Montedoglio and San Cipriano) and two Latium lakes (Bolsena and Bracciano) were collected and analyzed. The parasitological analysis, consisting of a visual inspection followed by a chloro-peptic digestion, was performed on 1650 specimens belonging to 17 species: European perch (Perca fluviatilis), Pumpkinseed (Lepomis gibbosus), Pike-perch (Sander lucioperca), Largemouth black bass (Micropterus salmoides), Pike (Esox lucius), Big-scale sand smelt (Atherina boyeri), Tench (Tinca), European Whitefish (Coregonus lavaretus), Channel catfish (Ictalurus punctatus), Chub (Squalius cephalus), Rudd (Scardinius erythrophthalmus), Common bleak (Alburnus alborella), South European roach (Sarmarutilus rubilio), South European nase (Protochondrostoma genei), Italian riffle dace (Telestes muticellus), Goldfish (Carassius auratus), and Freshwater bream (Abramis brama). Eustrongylides spp. larvae were only found in one specimen of European perch caught in Bracciano Lake and purchased from a local fishmonger (P = 3.3%; MI = 1; MA = 0.03). The only isolated Eustrongylides spp. larva was submitted to molecular analysis of the ITS gene region and identified as E. excisus. This finding adds Bracciano Lake to the list of the several Italian lakes in which nematodes belonging to this genus have been reported. Even if the observed prevalence is currently low, the presence of the parasite in this local freshwater fish supply chain requires FBOs to adopt risk management measures to prevent contaminated products from reaching final consumer. Moreover, future investigations will show if the parasite expands in these areas.

Published
2024
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62. Cross-platform gene expression profiling of breast cancer: Exploring the relationship between breast cancer grades and gene expression pattern

Author

Shamim Sarhadi, Arta Armani, Davoud Jafari-Gharabaghlou, Somayeh Sadeghi, and Nosratollah Zarghami

Subjects
Gene expression profiling, Transcriptome, Grade classification, Systems biology, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Gene expression profiling is a powerful tool that has been extensively used to investigate the underlying biology and etiology of diseases, including cancer. Microarray gene expression analysis enables simultaneous measurement of thousands of mRNA levels. Sophisticated computational approaches have evolved in parallel with the rapid progress in bioassay technologies, enabling more effective analysis of the large and complex datasets that these technologies produce.In this study, we utilized systems biology approaches to examine gene expression profiles across different grades of breast cancer progression. We conducted a meta-analysis of publicly available microarray data to elucidate the molecular mechanisms underlying breast cancer grade classification.Our results suggest that while grade index is commonly used for evaluating cancer progression status in the clinic, the complexity of molecular mechanisms, histological characteristics, and other factors related to patient outcomes raises doubts about the utility of breast cancer grades as a foundation for formulating treatment protocols.Our study underscores the importance of advancing personalized strategies for breast cancer classification and management. More research is crucial to refine diagnostic tools and treatment modalities, aiming for greater precision and tailored care in patient outcomes.

Published
2024
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63. Implementation of a pilot checklist for control standardization on fishery goods consignments at the Livorno border control post

Author

Lara Tinacci, Samantha Santoni, Antonella Magni, Ferdinando Verde, Roberta Nuvoloni, and Andrea Armani

Subjects
Border control post, control activities, standardization, operational checklist, Food processing and manufacture, TP368-456
Abstract

To standardize control activities, it is necessary to introduce checklists to support the control of consignments entering the European Union through border control posts (BCPs). This study aimed to develop a pilot checklist for the control of fishery consignments, preliminarily identified as the predominant group of goods entering the Livorno (Italy) BCP. The design of the pilot checklist was preceded by i) a revision of the current European and national legislation on the general and specific objectives of border control activities on fishery products and ii) a comparative analysis of two checklists (one of the Ministry of Health and one of the former Livorno border inspection post) developed on the basis of the repealed legislation. This comparison aimed to define the pilot checklist structure, verification objectives, and selection of assessment scores to be included in defining consignment compliance and acceptability. Once developed, the clarity and ease of use of the first draft of the pilot checklist were verified through its use in a field test during the control of 64 fishery product consignments. 22 regulatory sources (18 European and 4 national) were selected as reference legislation. The pilot checklist was structured as a dynamic “read-do” document based on the workflow of control activities described in the current legislation. The field test was useful in improving the clarity of the verification objectives within the documentary, identity, and physical control sections and in facilitating the use of the checklist and the collection of evidence during the control activity. This study, which focused on fishery products, can provide a practical approach for the development of checklists for all the other goods categories under the responsibility of BCPs.

Published
2024
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64. Analysis of the original notifications in the Tuscany region 'Rapid Alert System for Food and Feed' in the seven-year period 2015-2021

Author

Alice Giusti, Marta Galgani, Filippo Barontini, Emanuela Balocchini, Carlo D’Ascenzi, and Andrea Armani

Subjects
RASFF, risk assessment, food and feed hazard, veterinary checks, official control, Food processing and manufacture, TP368-456
Abstract

The original notifications (n=1355) managed by the Rapid Alert System for Food and Feed of the Tuscany region in the seven-year period 2015-2021 were analyzed. 68.9% of them were classified as alert notifications, and they mostly originated (56.3%) from official controls on the market, followed by the company's own checks (29.1%). Italy was the most represented notifying country (73.3%) and the most represented country of origin of the notified products (64.5%). Out of the 28 considered food categories, “fish and products thereof” (F), “cereals and bakery products” (C), “bivalve mollusks and products thereof” (B), and “meat and meat products (other than poultry)” (M) were the most notified. F were especially notified for the presence of heavy metals (45.7%), C for undeclared allergens (32.1%), B for microbial contaminants (Escherichia coli, 49.6%), and M for pathogenic microorganisms (55.9%), mostly Salmonella spp. and Listeria monocytogenes. This study provides an updated framework for the main food safety issues at the regional level. The Rapid Alert System for Food and Feed should be periodically analyzed to evaluate historical trends and emerging or poorly known hazards. This is especially important for the planning of official control activities and the prevention of risks through the food supply chain.

Published
2024
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65. COVID-19 Diagnostics: Past, Present, and Future

Author

Scholtz, Alexis, Ramoji, Anuradha, Silge, Anja, Jansson, Jakob R., de Moura, Ian G., Popp, Jürgen, Sram, Jakub P., and Armani, Andrea M.

Subjects
Physics - Medical Physics
Abstract

In winter of 2020, SARS-CoV-2 emerged as a global threat, impacting not only health but also financial and political stability. To address the societal need for monitoring the spread of SARS-CoV-2, many existing diagnostic technologies were quickly adapted to detect SARS-CoV-2 RNA and antigens as well as the immune response and new testing strategies were developed to accelerate time-to-decision. In parallel, the infusion of research support accelerated the development of new spectroscopic methods. While these methods have significantly reduced the impact of SARS-CoV-2 on society when coupled with behavioral changes, they also lay the groundwork for a new generation of platform technologies. With several epidemics on the horizon, such as the rise of antibiotic-resistant bacteria, the ability to quickly pivot the target pathogen of this diagnostic toolset will continue to have an impact., Comment: 40 pages, 8 figures

Published
2021

66. Solubility of mesalazine in pseudo-binary mixtures of choline chloride/ethylene glycol deep eutectic solvent and water at 293.15 K to 313.15 K

Author

Elina Armani, Parisa Jafari, Salar Hemmati, Elaheh Rahimpour, Mohammad Barzegar-Jalali, and Abolghasem Jouyban

Subjects
Mesalazine solubility, Choline chloride/ethylene glycol deep eutectic solvent, Solution thermodynamics, Cosolvency models, Enthalpy-entropy compensation analysis, Chemistry, QD1-999
Abstract

Abstract Mesalazine (5-ASA) is a medication utilized to treat inflammatory bowel diseases involving ulcerative colitis and Crohn’s disease. Mesalazine has fewer side effects but the low solubility and bioavailability of it is responsible for its delayed onset of action. Hence, the goal of this study is to determine the molar solubility of 5-ASA in aqueous pseudo-binary mixtures containing low toxic biocompatible choline chloride/ethylene glycol deep eutectic solvent (ChCl/EG DES) with DES mass fraction of 0.0–1.0 using a shake-flask technique at 293.2–313.2 K and approximately 85 kPa. The experimental results indicated that the solubility of 5-ASA enhanced by addition of DES mass fraction and also increasing temperature. The molarity values of 5-ASA were then modelled by some traditional cosolvency models, and regressed each model parameters. The back-computed molarity of 5-ASA using the selected cosolvency models presented a good consistency with the experimental data (lower mean percentage deviation than 5.14%). Moreover, the Gibbs and van’t Hoff equations were employed to compute the thermodynamic functions of 5-ASA dissolution process in ChCl/EG DES + water from the temperature dependency of solubility data. This analysis presented an endothermic and entropy-driven process of 5-ASA dissolution in ChCl/EG DES + water. Furthermore, enthalpy-entropy compensation analysis represented non-linear enthalpy dissolution vs. Gibbs free energy compensation plots with positive and negative slopes for 5-ASA whereas the positive and negative slopes were probably due to the enhance in solvation of 5-ASA by ChCl/EG DES molecules and the solvent-structure loosing, respectively.

Published
2023
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67. Very-low-calorie ketogenic diet vs hypocaloric balanced diet in the prevention of high-frequency episodic migraine: the EMIKETO randomized, controlled trial

Author

Massimiliano Caprio, Eleonora Moriconi, Elisabetta Camajani, Alessandra Feraco, Vincenzo Marzolla, Laura Vitiello, Stefania Proietti, Andrea Armani, Stefania Gorini, Caterina Mammi, Gabriella Egeo, Cinzia Aurilia, Giulia Fiorentini, Carlo Tomino, and Piero Barbanti

Subjects
VLCKD, Migraine treatment, Prevention, Diet, Weight loss, Ketone bodies, Medicine
Abstract

Abstract Background Migraine is the second world’s cause of disability. Among non-pharmacological treatments, nutritional intervention, particularly ketogenic diet, represents one of the most promising approaches. Methods This a prospective, single center, randomized, controlled study aimed at evaluating the efficacy of a very low-calorie ketogenic diet (VLCKD) compared to a hypocaloric balanced diet (HBD) in migraine prophylaxis in patients affected by high-frequency episodic migraine (HFEM) with a Body Mass Index (BMI) > 27 kg/m2. Fifty-seven patients were randomly assigned to a VLCKD (group 1) or HBD (group 2). Group 1 patients followed a VLCKD for 8 weeks, followed by a low calorie diet (LCD, weeks 9–12), and a HBD (weeks 13–24), whereas group 2 patients followed a HBD from week 0 to 24. Anthropometric indexes, urine and blood chemistry were assessed at enrollment, baseline, weeks 4, 8, 12, and 24. Migraine characteristics were evaluated at baseline, weeks 8, 12 and 24. Change in monthly migraine days (MMDs) at weeks 5–8 compared to baseline was the primary endpoint. Secondary endpoints encompassed changes in visual analogue scale (VAS), Headache Impact Test-6 (HIT-6) and Short Form Health Survey-36 (SF-36) scores. We also studied effects on circulating lymphocytes and markers of inflammation, changes in plasma aldosterone and renin levels before and after VLCKD or HBD treatment. Results Reduction from baseline in MMDs was greater in VLCKD compared to HBD group at week 8 (p = 0.008), at week 12 (p = 0.007), when ketosis had been interrupted by carbohydrates reintroduction, and at week 24 (p = 0.042), when all patients were following the same dietary regimen. Quality of life scores (SF-36) were improved in VLCKD group at week 8 and 12, and were also improved in HBD group, but only at week 12. Weight-loss was significantly higher in VLCKD group at week 8 (p = 0.002) and week 12 (p = 0.020). At the end of the study weight loss was maintained in VLCKD group whereas a slight weight regain was observed in HBD group. Inflammatory indexes, namely C reactive protein (CRP), neutrophil to lymphocyte ratio (NLR) and total white blood cell count (WBC) were significantly reduced (p

Published
2023
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68. Perspectivas das práticas de gestão de processos de negócio no contexto das tecnologias da Indústria 4.0: uma revisão sistemática da literatura

Author

Renato Armani Aguiar, Rodrigo Gross Ferreira, Viviane Lanunce Paes Costa, Thiago do Couto Reis e Silva, and Simone Vasconcelos Silva

Subjects
bpm, gestão de processos de negócio, indústria 4.0, tecnologia, Technology (General), T1-995, Science, Science (General), Q1-390
Abstract

Diversos setores da economia, sejam públicos ou privados, têm obtido sucesso na aplicação de métodos integrados para a melhoria de seus processos, a partir da gestão de processos de negócio associada às novas tecnologias da Indústria 4.0 (I4.0). Tal fato tem despertado interesse de profissionais e pesquisadores, que buscam, na literatura científica, abordagens sob diferentes aspectos relacionadas a esses temas. Assim, o objetivo deste artigo é apresentar uma revisão sistemática da literatura que responda à seguinte questão de pesquisa: “Quais práticas de BPM são aplicadas no contexto das tecnologias da Indústria 4.0 no segmento industrial?”. As análises efetuadas em 26 estudos apresentaram as tendências atuais de pesquisas relacionadas ao tema abordado, assim como os principais periódicos que publicam essas pesquisas. Os resultados apontaram uma relação das práticas de BPM ao tipo de tecnologia da Indústria 4.0, assim como o segmento industrial de aplicação. A partir dos resultados obtidos, foi possível identificar uma forte tendência de pesquisa associada à Análise e Modelagem de Processo a partir da utilização da Internet das Coisas (IoT).

Published
2023
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71. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Author

Vollset, Stein Emil, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abd Al Magied, Abdallah H A, Abd ElHafeez, Samar, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Absalan, Abdorrahim, Abualruz, Hasan, Abubakar, Bilyaminu, Abukhadijah, Hana Jihad Jihad, Addolorato, Giovanni, Adekanmbi, Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adhikary, Ripon Kumar, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Agbozo, Faith, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Safoora, Ahmed, Syed Anees, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Akter, Ema, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Al Mosa, Amjad S, Al Ta'ani, Omar, Al Zaabi, Omar Ali Mohammed, Alahdab, Fares, Alajlani, Muaaz M, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, Aldhaleei, Wafa A, Aldridge, Robert W, Alemohammad, Seyedeh Yasaman, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Iman, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Victor Ekoche, Ali, Waad, Al-Ibraheem, Akram, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Alqutaibi, Ahmed Yaseen, Alrawashdeh, Ahmad, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alsabri, Mohammed A, Altaany, Zaid, Al-Tammemi, Ala'a B., Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Alyahya, Mohammad Sharif, Alzoubi, Karem H, Al-Zyoud, Walid, Amani, Reza, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Andrews, Erick Adrian, Anil, Abhishek, Anil, Sneha, Anoushiravani, Amir, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Saeid, Anyasodor, Anayochukwu Edward, Appiah, Francis, Aquilano, Michele, Arab, Juan Pablo, Arabloo, Jalal, Arafa, Elshaimaa A, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Ariffin, Hany, Arkew, Mesay, Armani, Keivan, Artamonov, Anton A, Arumugam, Ashokan, Asghari-Jafarabadi, Mohammad, Ashbaugh, Charlie, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Aujayeb, Avinash, Ausloos, Marcel, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayatollahi, Haleh, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azeez, Fahad Khan, Azevedo, Rui M S, Badar, Muhammad, Baghdadi, Soroush, Bagheri, Mahboube, Bagheri, Nasser, Bai, Ruhai, Baker, Jennifer L, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Balcha, Wondu Feyisa, Baltatu, Ovidiu Constantin, Barchitta, Martina, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barteit, Sandra, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Bauckneht, Matteo, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Behzadi, Payam, Beiranvand, Maryam, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bemanalizadeh, Maryam, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernstein, Robert S, Bettencourt, Paulo J G, Beyene, Kebede A, Beyene, Melak Gedamu, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bharadwaj, Ravi, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhattacharjee, Natalia V, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhuiyan, Mohiuddin Ahmed, Bisignano, Catherine, Biswas, Bijit, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bonakdar Hashemi, Milad, Bora Basara, Berrak, Borhany, Hamed, Bosoka, Samuel Adolf, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Boxe, Christopher, Boyko, Edward J, Brady, Oliver J, Braithwaite, Dejana, Brauer, Michael, Brazo-Sayavera, Javier, Brenner, Hermann, Brown, Colin Stewart, Browne, Annie J, Brugha, Traolach, Bryazka, Dana, Bulamu, Norma B, Buonsenso, Danilo, 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Lal, Rane, Amey, Rao, Chythra R, Rao, Mithun, Rasella, Davide, Rashedi, Vahid, Rashid, Ahmed Mustafa, Rasouli-Saravani, Ashkan, Rastogi, Prateek, Rasul, Azad, Rathish, Devarajan, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Ravangard, Ramin, Rawaf, David Laith, Rawaf, Salman, Raza, Rabail Zehra, Redwan, Elrashdy Moustafa Mohamed, Reifels, Lennart, Reitsma, Marissa B, Remuzzi, Giuseppe, Rengasamy, Kannan RR, Reshmi, Bhageerathy, Resnikoff, Serge, Restaino, Stefano, Reyes, Luis Felipe, Rezaei, Nazila, Rezaei, Negar, Rezaei, Zahra Sadat, Rezaeian, Mohsen, Rhee, Taeho Gregory, Rickard, Jennifer, Robalik, Toshana, Robinson-Oden, Hannah Elizabeth, Rocha, Hermano Alexandre Lima, Rodrigues, Mónica, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Romadlon, Debby Syahru, Ronfani, Luca, Rony, Moustaq karim khan, Roshandel, Gholamreza, Rotimi, Kunle, Rout, Himanshu Sekhar, Roy, Bedanta, Rubagotti, Enrico, Ruela, Guilherme de Andrade, Rumisha, Susan Fred, Runghien, Tilleye, Russo, Michele, Saad, Aly M A, Saber, Korosh, Saber-Ayad, Maha Mohamed, Sabet, Cameron John, Sabour, Siamak, Sachdev, Perminder S, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Masoumeh, Saeb, Mohammad Reza, Saeed, Umar, Safi, Sher Zaman, Sagar, Rajesh, Saghafi, Alireza, Sagoe, Dominic, Sahebkar, Amirhossein, Sahoo, Pragyan Monalisa, Sajid, Mirza Rizwan, Salam, Nasir, Salamati, Payman, Salami, Afeez Abolarinwa, Saleh, Mohamed A, Salehi, Leili, Salem, Marwa Rashad, Salemcity, Aanuoluwa James, Salimi, Sohrab, Samadi Kafil, Hossein, Samargandy, Saad, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sanna, Francesca, Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sartorius, Benn, Satpathy, Maheswar, Sayeed, Abu, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schinckus, Christophe, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Selvaraj, Siddharthan, Semreen, Mohammad H, Senapati, Sabyasachi, Sengupta, Pallav, Senthilkumaran, Subramanian, Serban, Dragos, Sethi, Yashendra, Seylani, Allen, Shafie, Mahan, Shah, Pritik A, Shahbandi, Ataollah, Shahid, Samiah, Shahid, Wajeehah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shalash, Ali S, Shamekh, Ali, Shamim, Muhammad Aaqib, Shanawaz, Mohd, Shankar, Abhishek, Shannawaz, Mohammed, Sharath, Medha, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Anupam, Sharma, Manoj, Sharma, Saurab, Sharma, Vishal, Shastry, Rajesh P, Shayan, Maryam, Shekhar, Shashank, Shenoy, Rekha R, Shetty, Mahabalesh, Shetty, Pavanchand H, Shetty, Premalatha K, Shi, Peilin, Shiani, Amir, Shigematsu, Mika, Shimels, Tariku, Shiri, Rahman, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Sunil, Shuval, Kerem, Si, Yafei, Siddig, Emmanuel Edwar, Sidhu, Jaspreet Kaur, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Silva, Thales Philipe R, Simpson, Colin R, Simpson, Kyle E, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Baljinder, Singh, Harmanjit, Singh, Jasbir, Singh, Paramdeep, Singh, Puneetpal, Skou, Søren T, Smith, Georgia, Sobia, Farrukh, Socea, Bogdan, Solanki, Shipra, Soleimani, Hamidreza, Soliman, Sameh S M, Song, Yi, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Starodubova, Antonina V, Stein, Dan J, Steiner, Caitlyn, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Straif, Kurt, Subedi, Narayan, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Sundström, Johan, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabb, Karen M, Tabche, Celine, Tabish, Mohammad, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taiba, Jabeen, Talaat, Iman M, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tat, Nathan Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tbakhi, Abdelghani, Tehrani, Hadi, Temsah, Mohamad-Hani, Teramoto, Masayuki, Tesfaye, Behailu Terefe, Teye-Kwadjo, Enoch, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thygesen, Lau Caspar, Ticoalu, Jansje Henny Vera, Timalsena, Dinesh, Tiruye, Tenaw Yimer, Tiwari, Krishna, Tomo, Sojit, Tonelli, Marcello, Topor-Madry, Roman, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, An Thien, Tran, Jasmine T, Tran, Nghia Minh, Tran, Thang Huu, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Turnock, Steven T, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umar, Muhammad, Umar, Shehu Salihu, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Usman, Jibrin Sammani, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valizadeh, Rohollah, Van den Eynde, Jef, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Venketasubramanian, Narayanaswamy, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Vijayageetha, Mathavaswami, Villafañe, Jorge Hugo, Vinayak, Manish, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vohra, Karn, Vos, Theo, Wadood, Abdul Wadood, Waheed, Yasir, Wang, Fang, Wang, Shaopan, Wang, Shu, Wang, Yanqing, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Ward, Paul, Waris, Abdul, Wassie, Emebet Gashaw, Watson, Stefanie, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weldetinsaa, Haftom Legese Legese, Wells, Katherine M, Wen, Yi Feng, Westerman, Ronny, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Widowati, Evi, Wojewodzic, Marcin W, Woldeyes, Dawit Habte, Wolf, Axel Walter, Wolfe, Charles D A, Wu, Chenkai, Wu, Dongze, Wu, Felicia, Wu, Jiayuan, Wu, Zenghong, Wulf Hanson, Sarah, Xiao, Hong, Xu, Suowen, Yadav, Rakesh, Yamagishi, Kazumasa, Yang, Danting, Yano, Yuichiro, Yarahmadi, Amir, Yazdani Nia, Iman, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yin, Dehui, Yip, Paul, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Yu, Elaine A, Yu, Yong, Yuan, Chun-Wei, Yusuf, Hadiza, Zafar, Uzma, Zafari, Nima, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Nazar, Zerfu, Taddese Alemu, Zhang, Haijun, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhiqiang, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Zhongyi, Zhong, Chenwen, Zhou, Bolun, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhumagaliuly, Abzal, Zielińska, Magdalena, Zoghi, Ghazal, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Smith, Amanda E, and Murray, Christopher J L

Published
2024
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76. Predictive Analytics for Inpatient Postoperative Opioid Use in Patients Undergoing Mastectomy

Author

Dolendo, Isabella M, Wallace, Anne M, Armani, Ava, Waterman, Ruth S, Said, Engy T, and Gabriel, Rodney A

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Patient Safety, Clinical Research, Neurosciences, Chronic Pain, Pain Research, Cancer, Brain Disorders, analgesia, acute pain, mastectomy, machine learning, opioids, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

IntroductionThe use of opioids in mastectomy patients is a particular challenge, having to balance the management of acute pain while minimizing risks of continuous opioid use postoperatively. Despite attempts to decrease postmastectomy opioid use, including regional anesthetics, gabapentinoids, topical anesthetics, and nonopioid anesthesia, prolonged opioid use remains clinically significant among these patients. The goal of this study is to identify risk factors and develop machine-learning-based models to predict patients who are at higher risk for postoperative opioid use after mastectomy.MethodsIn this retrospective cohort study, we collected data from patients that underwent mastectomy procedures. The primary outcome of interest was defined as oxycodone milligram equivalents (OME) greater than or equal to the 75% of OME use on a postoperative day 1. Model performance (area under the receiver-operating characteristics curve (AUC)) of various machine learning approaches was calculated via 10-fold cross-validation. Odds ratio (OR) and 95% confidence intervals (CI) were reported.ResultsThere were a total of 148 patients that underwent mastectomy and were included. The medium (quartiles) postoperative day 1 opioid use was 5 mg OME (0.25 mg OME). Using multivariable logistic regression, the most protective factors against higher opioid use was being postmenopausal (OR: 0.13, 95% CI: 0.03-0.61, p = 0.009) and cancer diagnosis (OR: 0.19, 95% CI: 0.05-0.73, p = 0.01). The AUC was 0.725 (95% CI: 0.572-0.876). There was no difference in the performance of other machine-learning-based approaches.ConclusionsThe ability to predict patients' postoperative pain could have a significant impact on preoperative counseling and patient satisfaction.

Published
2022

77. Multifunctional photoresponsive organic molecule for electric field sensing and modulation

Author

Zhang, Yingmu, He, Jinghan, Saris, Patrick J. G., Chae, Hyun Uk, Das, Subrata, Kapadia, Rehan, and Armani, Andrea M.

Subjects
Physics - Chemical Physics
Abstract

Organic molecules with nonlinear optical behavior have advanced a wide range of fields spanning from integrated photonics to biological imaging. With advances in microscopy, an emerging application is multifunctional nonlinear organic imaging agents. Unlike conventional imaging probes which simply emit light through single or multi photon processes, multifunctional materials allow systems to be simultaneously imaged and controlled. In this work, we report a multifunctional molecular probe for modulating and reporting electric fields. The probe molecule consists of two distinct functional modules which are connected by a long alkyl chain. The electric field detector module relies on the two-photon (2p) imaging agent and photo-induced electron transfer (PeT) dye, TPE. Two-photon imaging agents have demonstrated less damage and larger penetration depths in cells and live tissue imaging. The electric field modulator module relies on the organic photoconductor, NAI. To reduce cross-talk and optimize absorption and emission wavelengths, the molecular structure is first studied using density functional theory modeling, and then the multi-functional molecular probe is synthesized. The photophysical, photoconductivity, and biotoxicity of the probe molecule are studied in a range of solvents and solid state, and the results agree with the theoretical predictions. Specifically, 2p excitation in a biocompatible solvent is demonstrated, the photoconductivity is rapid and reversible, and the material has low cytotoxicity. Additionally, the entire system is optically controlled, including signal read-out, and the two modules can be operated simultaneously or individually. This work sets the stage for modulation and detection of bioelectric fields in a range of cell and tissue types., Comment: main text and SI, 29 pages

Published
2021

78. Stretchable optical diffraction grating from poly(acrylic acid)/polyethylene oxide stereocomplex

Author

He, Jinghan, Kovach, Andre, Wang, Yunxiang, Wang, William, Wu, Wei, and Armani, Andrea M.

Subjects
Physics - Optics
Abstract

Optical gratings are a key component in many spectroscopy, communications, and imaging systems. While initially static elements, advances in optical materials have enabled dynamically tunable gratings to be designed. One common tuning strategy is relying on mechanical deformation of the grating pitch to modify the diffraction pattern. To date, most mechanically adaptive optical gratings consist of a hybrid system where rigid moieties are patterned on an elastomeric substrate. In the present work, we demonstrate an all-polymer tunable grating that is fabricated using replica molding from the poly(acrylic acid) (PAA)/polyethylene oxide (PEO) polymer stereocomplex. PAA/PEO pristine films exhibit excellent optical transmittance at or above 80% from 500 nm to 1400 nm and stretchability over 800% strain. The experimental studies on the changes of diffraction mode distances with respect to the applied strains agree well with the finite-difference time-domain (FDTD) theoretical modeling.

Published
2021
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79. The 'Dry-Lab' Side of Food Authentication: Benchmark of Bioinformatic Pipelines for the Analysis of Metabarcoding Data

Author

Gabriele Spatola, Alice Giusti, and Andrea Armani

Subjects
Next Generation Sequencing Technologies, bioinformatic analysis, foodstuff authentication, DADA2, Geneious Prime, Amplicon Sequence Variants (ASVs), Chemical technology, TP1-1185
Abstract

Next Generation Sequencing Technologies (NGS), particularly metabarcoding, are valuable tools for authenticating foodstuffs and detecting eventual fraudulent practices such as species substitution. This technique, mostly used for the analysis of prokaryotes in several environments (including food), is in fact increasingly applied to identify eukaryotes (e.g., fish, mammals, avian, etc.) in multispecies food products. Besides the “wet-lab” procedures (e.g., DNA extraction, PCR, amplicon purification, etc.), the metabarcoding workflow includes a final “dry-lab” phase in which sequencing data are analyzed using a bioinformatic pipeline (BP). BPs play a crucial role in the accuracy, reliability, and interpretability of the metabarcoding results. Choosing the most suitable BP for the analysis of metabarcoding data could be challenging because it might require greater informatics skills than those needed in standard molecular analysis. To date, studies comparing BPs for metabarcoding data analysis in foodstuff authentication are scarce. In this study, we compared the data obtained from two previous studies in which fish burgers and insect-based products were authenticated using a customizable, ASV-based, and command-line interface BP (BP1) by analyzing the same data with a customizable but OTU-based and graphical user interface BP (BP2). The final sample compositions were compared statistically. No significant difference in sample compositions was highlighted by applying BP1 and BP2. However, BP1 was considered as more user-friendly than BP2 with respect to data analysis streamlining, cost of analysis, and computational time consumption. This study can provide useful information for researchers approaching the bioinformatic analysis of metabarcoding data for the first time. In the field of food authentication, an effective and efficient use of BPs could be especially useful in the context of official controls performed by the Competent Authorities and companies’ self-control in order to detect species substitution and counterfeit frauds.

Published
2024
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