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Lizbeth Soto Jacome,1 Sachin Kumar Deshmukh,2,3 Padmamalini Thulasiraman,1 Nicolette Paolaungthong Holliday,4 Seema Singh2,3,5 1Department of Biomedical Sciences, College of Allied Health, University of South Alabama, Mobile, AL 36688, USA; 2Cancer Biology Program, Mitchell Cancer Institute, University of South Alabama, Mobile, AL 36604, USA; 3Department of Pathology, College of Medicine, University of South Alabama, Mobile, AL 36617, USA; 4Department of Obstetrics and Gynecology, University of South Alabama, Mobile, AL 36604, USA; 5Department of Biochemistry and Molecular Biology, University of South Alabama, Mobile, AL 36688, USACorrespondence: Seema SinghDepartment of Pathology, College of Medicine, University of South Alabama, 1660 Springhill Avenue, Mobile, AL 36604, USATel +1 251-445-9843Fax +1 251-460-6994Email seemasingh@health.southalabama.eduAbstract: COVID-19, also known as the coronavirus disease 2019, is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) declared pandemic by the World Health Organization (WHO). As the world faces the coronavirus disease 2019 crisis, the oncology community is being impacted by unprecedented challenges. During this trying time, patients with ovarian cancer (OC) have been affected by a delay in diagnosis, surgery, chemotherapy and radiation treatments, and oncology follow-ups being conducted via telemedicine instead of in-person visits. OC patients and their oncologists are balancing the fears of COVID-19 and cancer treatment with the consequences of delaying cancer care. The delay in treatment care that women with OC are experiencing has resulted in higher levels of cancer worry, anxiety, and depression. In this article, we succinctly review the impact of the COVID-19 pandemic on the diagnosis and treatment and ongoing clinical trials of OC. We also discuss the psychological effects of COVID-19 on women with OC and alternative therapeutic strategies to limit in-person hospital visits to reduce the spread of the disease, and the impact of COVID-19 on OC patients.Keywords: SARS-CoV-2, COVID-19, ovarian cancer management, pandemic, cancer care delay

The management of cattle ticks, particularly Rhipicephalus microplus, poses a global challenge in subtropical regions like Ecuador due to its impact on meat and milk productivity, leading to economic losses. Misuse of acaricides has resulted in resistance and multi-resistance, diminishing their effectiveness. This study evaluated resistance to amitraz, alpha-cypermethrin, and ivermectin using the Larval Packet test, laboratory-reared tick larvae collected from cattle were tested. Data on farm management and tick control practices were gathered via a questionnaire in Northwest Pichincha and Quijos River Valley over two years. Resistance rates in the first year (2020-2021) were 67.21% for amitraz, 57.38% for ivermectin, and 67.21% for alpha-cypermethrin. One year later (2021-2022), resistance levels were 59.57% for amitraz, 57.45% for ivermectin, and 68.09% for alpha-cypermethrin, with multi-resistance rates at 67.21% and 65.96% respectively. No significant differences were found between years or locations. Analysis of larval survival data determined lethal doses for tested acaricides. The study emphasizes the association between the lack of acaricide rotation, the incorrect dosage, and the absence of non-chemical measures in tick management could be associated with the development of resistances in ticks. Likewise, this study promotes the need for collaborative efforts to improve control practices and maintain acaricide efficacy.

This contribution contains the raw data used to compare experimental results with thermodynamic calculations using the CALPHAD method, which is related to the research article "The AlMo 0.5 NbTa 0.5 TiZr refractory high entropy superalloy: experimental findings and comparison with calculations using the CALPHAD method" [1], and therefore this article can be used as a basis for interpreting the data contained therein. The AlMo 0.5 NbTa 0.5 TiZr refractory superalloy was characterized in the cast and annealed condition (1400 °C for 24 h) in order to measure grain size and to identify and measure the size and area fraction of the phases present. The raw data of this article include X-ray diffraction (XRD) measurements, microstructural characterization by scanning and transmission electron microscopy (SEM and TEM), and elemental analysis by energy dispersive X-ray spectroscopy (EDX). XRD includes the determination of phases and the lattice parameters (A2, B2, and hexagonal structure). Microstructural analysis by scanning and transmission electron microscopy includes (1) identification of composition, size, and volume fraction of the present phases and (2) determination of grain size. Based on these experimental data, it is possible to identify similarities and discrepancies with the data calculated using the CALPHAD method for the alloy under study in Ref. [1], which provides the basis for better and more efficient development of reliable databases., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2022 The Authors.)

Understanding the interaction between boehmite and epoxy and the formation of their interphases with different mechanical and chemical structures is crucial to predict and optimize the properties of epoxy-boehmite nanocomposites. Probing the interfacial properties with atomic force microscopy (AFM)-based methods, especially particle-matrix long-range interactions, is challenging. This is due to size limitations of various analytical methods in resolving nanoparticles and their interphases, the overlap of interphases, and the effect of buried particles that prevent the accurate interphase property measurement. Here, we develop a layered model system in which the epoxy is cured in contact with a thin layer of hydrothermally synthesized boehmite. Different microscopy methods are employed to evaluate the interfacial properties. With intermodulation atomic force microscopy (ImAFM) and amplitude dependence force spectroscopy (ADFS), which contain information about stiffness, electrostatic, and van der Waals forces, a soft interphase was detected between the epoxy and boehmite. Surface potential maps obtained by scanning Kelvin probe microscopy (SKPM) revealed another interphase about one order of magnitude larger than the mechanical interphase. The AFM-infrared spectroscopy (AFM-IR) technique reveals that the soft interphase consists of unreacted curing agent. The long-range electrical interphase is attributed to the chemical alteration of the bulk epoxy and the formation of new absorption bands.

With the advent of high-throughput sequencing of immunoglobulin genes (Ig-Seq), the understanding of antibody repertoires and their dynamics among individuals and populations has become an exciting area of research. There is an increasing number of computational tools that aid in every step of the immune repertoire characterization. However, since not all tools function identically, every pipeline has its unique rationale and capabilities, creating a rich blend of useful features that may appear intimidating for newcomer laboratories with the desire to plunge into immune repertoire analysis to expand and improve their research; hence, all pipeline strengths and differences may not seem evident. In this review we provide a practical and organized list of the current set of computational tools, focusing on their most attractive features and differences in order to carry out the characterization of antibody repertoires so that the reader better decides a strategic approach for the experimental design, and computational pathways for the analyses of immune repertoires.