by Jeff Callaghan

Received: 19 October 2022;  Published: 07 April 2023;  doi: 10.21926/jept.2302014

During February 2022 major riverine flooding occurred in an area which has the fastest population growth in Australia. This extended from the Mary River in Southeast Queensland (SEQ) to the Clarence River in Northeast NSW (NENSW). Two centres within this area were devastated by floods unprecedented in living memory. One was the Brisbane Metropolitan area where all-time record daily rainfall in the suburbs flooded creeks. This creek flooding was much worse than that caused by the Brisbane River itself where Wivenhoe [...]

by Han Liu  , Biao Gao  and Xingxing Wang

Received: 30 June 2022;  Published: 17 October 2022;  doi: 10.21926/obm.neurobiol.2204142

As an indispensable active atmosphere and meaningful emotional expression in social media, emojis describe the emotions of users in specific situations in a funny, humorous, euphemistic, and implicit form and attract users to use them consciously or unconsciously with their quick and convenient features. Currently, the research on the psychology of emoji usage is mostly from the perspective of users, while neglecting the essential attributes of emojis. The purpose of this study was to investigate and summarize the [...]

by Daniela Litscher  and Gerhard Litscher

Received: 24 May 2016;  Published: 17 August 2016;  doi: 10.21926/obm.icm.1601002

The present report deals with some current important aspects of traditional Chinese medicine (TCM) education and practice in Europe and China. The data and facts are based on a lecture of one of the authors (G.L.) prepared for a conference in Wuhan about acupuncture education in Europe, and lectures of two high-ranking representatives of renowned Chinese institutions (State Administration of TCM and Heilongjiang University of Chinese Medicine, Harbin). In addition to current figures regarding TCM in general, the ad [...]

by Elena Sala  , Donatella Conconi  , Francesca Crosti  , Nicoletta Villa  , Serena Redaelli  and Gaia Roversi

Received: 01 October 2018;  Published: 28 January 2019;  doi: 10.21926/obm.genet.1901063

Since its introduction around the end of the 1970s, interphase fluorescence in situ hybridization (FISH) supports both classical and recent techniques for determining fetal karyotypes during prenatal diagnosis, quickly providing relevant information for the management of pregnancy. Interphase FISH plays an important role in the study of pregnancies with malformations, in mosaicism conditions, in confirming or excluding aneuploidy detected by non-invasive prenatal testing, and in the diagnosis of contiguous gene syn [...]

by Todorka Samardzioska  , Milica Jovanoska  and Vesna Grujoska

Received: 11 September 2022;  Published: 11 January 2023;  doi: 10.21926/aeer.2301004

The textile industry is one of the oldest industries and the third most important industry branch in Macedonia. It has had a steady increase in production over the years. Growing production line proportionally generates textile waste. Although it is terminologically categorized as waste, textile waste can be a valuable resource and is one of the textile industry’s main challenges. Textile waste, appropriately treated with the possibilities offered by the recycling process or used as a clean waste, can find multi-fa [...]

by Igor Val Danilov

Received: 25 October 2022;  Published: 17 February 2023;  doi: 10.21926/obm.neurobiol.2301156

The article discusses a definition of shared intentionality that reflects recent discoveries for inspiring further translational research in developing bioengineering systems based on human-computer interaction. The child's cognition begins through shared intentionality that occurs in child-caregiver interaction when communication via sensory cues is impossible. There needs to be more knowledge on how it appears. This article argues that shared intentionality is collaborative interactions in which participants shar [...]

by Jessica Lin  , Valentina L Kouznetsova  and Igor F Tsigelny

Received: 08 December 2020;  Published: 24 May 2021;  doi: 10.21926/obm.genet.2102131

Feline cancers have not been studied as extensively as canine cancers, though they may offer similar advantages, with cats being immunocompetent animals subject to similar conditions as their human counterparts. The most common feline cancers include lymphoma, squamous cell carcinoma, sarcoma, and mammary tumors, though mast cell tumors were also investigated in this review. As the pathogenesis of many feline cancers remains unclear, this study seeks to elucidate some molecular mechanisms behind feline cancers. Fel [...]

by Chandra Mouli Vemury  , Marco Corradi  , Feras Abozaid  , Alasdair Charles  and David Hughes

Received: 19 August 2019;  Published: 30 March 2021;  doi: 10.21926/rpm.2101009

Shape memory alloys (SMA) belong to a family of smart materials, which undergo diffusionless phase transformations when subjected to thermo-mechanical changes making them ideally suitable for utilization in several structural engineering applications. Within this class of materials, Ni-Ti (Nickel-Titanium) alloys are predominantly used due to their non-linear behaviour. Nitinol, one of the Ni-Ti alloys, possesses unique properties such as super-elasticity and shape- memory effect, which makes it suitable for dampin [...]

by Galina Huseynova  , Gulbeniz Muxtarova  , Nushaba Aliyeva  , Gular Gasimova  and Sanubar Rashidova

Received: 05 May 2022;  Published: 05 July 2022;  doi: 10.21926/cr.2203019

This article provides an overview of zeolite-containing catalysts used in the alkylation of benzene and toluene with olefins, isobutane with butenes and butane-butene fractions, gasoline and oil fractions with olefins, propane-propylene, and butane-butylene fractions of catalytic cracking. Zeolites have various types of structures, including BEA, MFI, MWW, FAU, etc., which differ in pore size and the number and location of the channels. High-silica zeolites have a large pore volume, high acidity, good hydrothermal [...]

by T.V. Ramachandra  , Tulika Mondal  , Bharath Settur  and Bharath H Aithal

Received: 24 July 2023;  Published: 01 December 2023;  doi: 10.21926/aeer.2304052

The knowledge of landscape dynamics aids in evolving strategies for the prudent management of natural resources to sustain ecosystem services. The availability of spatiotemporal remote sensing data with advancements in artificial intelligence (AI) and machine learning (ML) algorithms has aided in assessing the ecological status in urban environments, markedly revealing complex patterns and interactions. The current communication presents landscape dynamics in the Bengaluru Urban district from 1973 to 2022 using a s [...]