Accurate downlink channel state information (CSI) is required to be fed back to the base station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems in order to achieve maximum antenna diversity and multiplexing. However, downlink CSI feedback overhead scales with the number of transceiver antennas, a major hurdle for practical deployment of FDD massive MIMO systems. To solve this problem, we propose a compressive sampled CSI feedback method based on deep learning (SampleDL). In SampleDL, the massive MIMO channel matrix is sampled uniformly in time/frequency dimension before being fed into neural networks (NNs), which will reduce the computational resource/time at user equipment (UE) as well as enhance the CSI recovery accuracy at the BS. Both theoretical analysis and normalized mean square errors (NMSE) results confirm the advantages of the proposed method in terms of time complexity and recovery accuracy. Besides, a suitable CSI feedback period is explored by link level simulations, which aims to further reduce the overhead of CSI feedback without degrading the communication quality.

Antibody-drug conjugates represent a new class of highly potent antineoplastic drugs built by attaching a small molecule of an anticancer drug (payload) or another therapeutic agent to an antibody recognizing an epitope on the targeted cells. Trophoblast cell-surface antigen-2 (Trop-2) was originally described in trophoblasts and fetal tissues, but subsequently its overexpression has been demonstrated in various solid malignancies. Sacituzumab govitecan (SG), a conjugate of anti-Trop-2 antibody and SN-38 payload (an active metabolite of irinotecan), is the first in the class that has been clinically validated and approved by the Food and Drug Administration for the treatment of metastatic triple-negative breast (2020) and urothelial carcinomas (2021). In the current review, we summarize and critically appraise the most recent advances with regard to SG, emphasizing the predictive biomarker analysis.

This paper proposes a systematic literature review on ethics and CoviD-19, aiming to understand the impact and the perception of the pandemic during the first wave (January-June 2020) and the consequences one year later. PubMed was systematically searched up May 2020 to identify studies that took into consideration various ethical issues that have been arising from the Covid-19 outbreak. The eligibility of the papers was determined by two authors, who screened the results mediated by a third author. In order to facilitate the screening, the titles were divided into five sub-thematic macro-areas, namely allocation, policy, specialist, clinical trials, and technology and, when possible, per geographical area. Specifically, a posteriori, we decided to focus on the papers referring to policies and technology, as they highlighted ethical issues that are not overused and worthy of particular attention. Thus, 38 studies out of 233 met our inclusion criteria and were fully analysed. Accordingly, this review touches on themes such as fairness, equity, transparency of information, the duty of care, racial disparities, the marginalisation of the poor, and privacy and ethical concerns. Overall, it was found that despite the increased awareness of interdisciplinarity and the essential reference to ethics, many scientific articles use it with little competence, considering it only a "humanitarian" enrichment. In fact, as we understand, reflecting a year after the outbreak of the pandemic, although Covid-19 is leading scientists to increasingly recognise the importance of ethical issues, there is still a lot of confusion that could be helped by establishing international guidelines to act as a moral compass in times of crisis.

Penalties in judo result from negative actions that are not in line with judo combat regulations. The aim of the research was to determine the differences in penalties between winner and non-winner competitors in judo. A total of 1799 (men=1133 and women=666) matches with penalties were evaluated during 2017, 2018 and 2019 World Judo Championships. The variables were expressed as proportions and compared with the Chi-Square test with pairwise Z-tests. The ratio of receiving the first and second shido was the same in men and women athletes ( p >.05), but it was different for weight categories ( p .05), the ratio of forbidden actions in the first and second shido differed ( p <.05). The difference in the penalty ratios in winner and non-winner athletes, especially the difference in forbidden actions leading to first and second shido may reflect some tactical differences. The results of this research can significantly contribute to the understanding of the significance of judo penalties both in training and in competition, as well as to the further study of judo penalties.

Conflict is an integral part of sport, and it implies a normal occurrence in communication and relationship between athletes and coaches. The main aim of this paper was to present a conflict analysis of the coach-athletes relationship, but also its impact on the achievement of sports results. The review article analysed nine works that directly studied interpersonal relationships between coaches and athletes. Research results suggest that conflict is evident and inevitable, as well as expected since coaches spend a lot of time with athletes, and pass through the training process, but also the competition period, when athletes are exposed to greater pressure because of the competition itself. Timely response and adequate response to conflict can greatly contribute to improving relations and even better sports results.

ABSTRACT Vaccination coverage in the Federation of Bosnia and Herzegovina, in Bosnia and Herzegovina, has been declining since 2014. This qualitative study aimed to identify barriers and drivers to childhood vaccination for parents. The COM-B (capability-opportunity-motivation-behavior) model was the underpinning theoretical framework. Face-to-face interviews with 22 parents of fully (n = 6), delayed/partially vaccinated (n = 9) and unvaccinated (n = 7) children were conducted. Interviews explored individual factors (capability–knowledge and skills; motivation–attitudes, confidence and trust) and context factors (physical opportunity–information, access, health systems; and social opportunity – social support, norms). Data were analyzed in NVivo using content analysis exploring differences in COM factors by vaccination status and location. Parents of fully vaccinated children typically reported individual and context drivers to vaccination. They accepted vaccination, trusted health workers, and were content with services. Parents of delayed/partially vaccinated children fell into two subgroups: (1) Those who accepted vaccination and attributed delays to their organizational skills or frustration with appointment times. (2) Those fitting the profile of “vaccine hesitant” – generally valuing vaccination and health worker advice, yet with concerns often triggered by media/social media. Parents of unvaccinated children mentioned individual and context barriers to vaccination, notably significant concerns about safety, some distrust of health workers and resentment of mandatory vaccination. Urban/rural differences included urban parents being more likely to report experiences with vaccine shortages and very few had received information leaflets. The study identified complex and inter-related barriers and drivers to parents’ childhood vaccination behaviors. These insights have informed the development of tailored interventions to improve coverage.

The advantages of massive multiple-input multiple-output (MIMO) techniques depend heavily on the accuracy of channel state information (CSI). In frequency division duplexing (FDD) massive MIMO systems, the user equipment (UE) needs to feed downlink CSI back to the base station (BS) through the feedback link. The excessive feedback overheads and low reconstruction accuracy are the main obstacles for actual deployment of FDD massive MIMO systems. In recent years, deep learning (DL) has been widely used to address the above problems. In this letter, we propose a neural network by utilizing the self-attention learning and dense refine (SALDR), which improves the accuracy of CSI feedback. Furthermore, a unified decoder named SALDR-U is designed to realize different compression ratios for CSI feedback without changing any parameter. Simulation results show that the proposed SALDR and SALDR-U outperform the state-of-the-art network in terms of accuracy and overhead of CSI feedback. The source code for all the experiments is available at GitHub.The code of this letter can be downloaded from GitHub link: https://github.com/XS96/SALDR.

Micellar systems are colloids with significant properties for pharmaceutical and food applications. They can be used to formulate thermodynamically stable mixtures to solubilize hydrophobic food-related substances. Furthermore, micellar formation is a complex process in which a variety of intermolecular interactions determine the course of formation and most important are the hydrophobic and hydrophilic interactions between surfactant–solvent and solvent–solvent. Glycols are organic compounds that belong to the group of alcohols. Among them, propane-1,2-diol (PG) is a substance commonly used as a food additive or ingredient in many cosmetic and hygiene products. The nature of the additive influences the micellar structure and properties of sodium dodecyl sulfate (SDS). When increasing the mass fraction of propane-1,2-diol in binary mixtures, the c.m.c. values decrease because propane-1,2-diol is a polar solvent, which gives it the ability to form hydrogen bonds, decreasing the cohesivity of water and reducing the dielectric constant of the aqueous phase. The values of ΔGm0 are negative in all mixed solvents according to the reduction in solvophobic interactions and increase in electrostatic interaction. With the rising concentration of cosolvent, the equilibrium between cosolvent in bulk solution and in the formed micelles is on the side of micelles, leading to the formation of micelles at a lower concentration with a small change in micellar size. According to the 1H NMR, with the addition of propylene glycol, there is a slight shift of SDS peaks towards lower ppm regions in comparison to the D2O peak. The shift is more evident with the increase in the amount of added propane-1,2-diol in comparison to the NMR spectra of pure SDS. Addition of propane-1,2-diol causes the upfield shift of the protons associated with hydrophilic groups, causing the shielding effect. This signifies that the alcohol is linked with the polar head groups of SDS due to its proximity to the SDS molecules.

Background: Miller Fisher syndrome (MFS) is a variant of Guillain-Barré syndrome and is characterised by a clinical triad of ophthalmoplegia, ataxia and areflexia. Objectives: This report presents an atypical case of MFS characterized by ocular and gastrointestinal involvement, and anti-ganglioside antibody-positivity. Methods: A 17-year old boy was referred to our ophthalmology emergency room with signs and symptoms of diplopia and upper lid ptosis of the right eye. He underwent a complete ophthalmologic examination with special reference to strabologic status, as well as a neuropediatric examination with serum antiganglioside antibody panel. Results: Strabologic examination showed horisontal diplopia (near and far), ptosis of the upper eyelid on the right and bilateral ophthalmoplegia (limited elevation). Orthoptic examination revealed esotropia of 8 prism dioptres (PD) at near and 18 PD at far distance. A pediatric neurologist found normal limb power, deep tendon reflexes and flexor plantar responses, but attenuated right patellar reflex. Serum anti-GQ1b IgG (+++), anti-GQ1b IgM (++) and anti-GD1a IgM(++) were positive. Positivity of anti-GQ1b IgG antibody confirmed the existence of incomplete MFS. We treated the patient with systemic intravenous immunoglobulins for five days, and after five months of follow-up, all symptoms resolved. Conclusion: MFS can present itself as a wide range of clinical features and its timely recognition is important. Despite the alarming nature of the disease, patients with MFS tend to have a good recovery of presented symptoms, and without any significant residual deficit.

Cilj: Prikazati slučaj pacijentice s ponavljajućim rupturama jajnika s ciljem rasprave moguće etiologije rupture koja može nastati u različitim fazama liječenja u predisponiranih pacijentica. Prikaz slučaja: Pacijentica u dobi od 28 godina zaprimljena je u hitnu ginekološku ambulantu zbog jakih bolova u donjem dijelu abdomena praćenih dispnejom i općim lošim osjećanjem. Tog jutra pacijentica je bila na aspiraciji oocita. U krvnoj slici bile su snižene vrijednosti eritrocita, hemoglobina i hematokrita. Transvaginalnim ultrazvukom postavljena je sumnja na hematoperitoneum. Indicirana je hitna dijagnostička laparoskopija kojom je potvrđeno intraperitonealno krvarenje, a izvor je bio rupturirani jajnik. Hemostaza je učinjena tijekom zahvata termokauterizacijom. Nakon pet godina pacijentica je nastavila liječenje neplodnosti in vitro fertilizacijom u prirodnom ciklusu u kojem je učinjen prijenos zametka. Dva dana kasnije javlja se u hitnu ginekološku ambulantu zbog bolova u abdomenu. Ultrazvučnom dijagnostikom postavljena je sumnja na hematoperitoneum koji je potvrđen dijagnostičkom laparoskopijom, a krvarenje je zaustavljeno termokauterizacijom. Tri tjedna nakon prijenosa zametka transvaginalnim ultrazvukom potvrđen je intrauterino smješten gestacijski mjehurić, čime je potvrđena trudnoća. U 26. tjednu trudnoće započeo je prijevremeni porod prsnućem vodenjaka te je porod dovršen carskim rezom. Zaključak: Tijek liječenja neplodnosti i zbivanja tijekom perinatalnog razdoblja ukazuju da su ponavljane rupture jajnika moguće u predisponiranih pacijentica. Prikazani slučaj ukazuje na skupinu pacijentica koja je sklonija komplikacijama u različitim okolnostima reprodukcijske dobi.

Many components of the innate immune system are evolutionarily conserved and shared across many living organisms, from plants and invertebrates to humans. Therefore, these shared features can allow the comparative study of potentially dangerous substances, such as engineered nanoparticles (NPs). However, differences of methodology and procedure between diverse species and models make comparison of innate immune responses to NPs between organisms difficult in many cases. To this aim, this review provides an overview of suitable methods and assays that can be used to measure NP immune interactions across species in a multidisciplinary approach. The first part of this review describes the main innate immune defense characteristics of the selected models that can be associated to NPs exposure. In the second part, the different modes of exposure to NPs across models (considering isolated cells or whole organisms) and the main endpoints measured are discussed. In this synergistic perspective, we provide an overview of the current state of important cross-disciplinary immunological models to study NP-immune interactions and identify future research needs. As such, this paper could be used as a methodological reference point for future nano-immunosafety studies.