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3-36.7%) seroprevalences, although this was not statistically significant. Within Southern Province, higher seropositivity was observed in Namwala district (OR 8.55; CI 2.66-27.44), among female animals (OR 2.48; CI 1.38-4.46) and in those aged 11 years and above (OR 2.67; CI 1.34-5.34) as well as in gravid cows (OR 4.34; CI 2.08-8.92). Seropositivity was also observed among some animals with hygromas (OR 6.5; CI 0.45-94.08) and those with a history of abortion (OR 1.13; CI 0.18-7.28) although the findings were not statistically significant. Brucella seroprevalence among traditional cattle in Zambia remains high. Control programs against bovine brucellosis must be introduced to reduce its impact on human health and animal production.The coronavirus disease 2019 (COVID-19) has a great impact on healthcare workers (HCWs) that includes negative mental health outcomes, such as post-traumatic stress, anxiety and depressive symptoms. In this cross-sectional study, we report on mental health outcomes among HCWs in Cyprus. Data were collected between 3 May and 27 May 2020, with the use of an online questionnaire that included demographics (sex, age, occupation, education, work sector, years of work experience), the 9-item Patient Health Questionnaire (PHQ-9) which assesses depressive symptoms, the Impact of Events Scale Revised (IES-R), which measures post-traumatic stress disorder (PTSD) symptoms, and the-10 item Perceived Stress Scale (PSS-10) which quantifies stress responses. Participants (42% physicians, 24% nurses, 18% physiotherapists, 16% classified as "other") were 58% of female gender and aged 21-76. A total of 79 (18.6%) and 62 HCWs (14.6%) reported clinically significant depressive (PHQ-9 ≥ 10) and post-traumatic stress (IES-R > 33) symptoms respectively. Nurses were more likely than physicians to suffer from depression (adjusted prevalence ratio 1.7 (1.06-2.73); p = 0.035) and PTSD (adjusted prevalence ratio 2.51 (1.49-4.23); p = 0.001). Even in a country with a rather low spread of the COVID-19, such as Cyprus, HCWs reported a substantial mental health burden, with nurses reporting increased depressive and PTSD symptoms compared to other HCWs.Two different zinc-based metal-organic frameworks (MOFs) were investigated to remove one of the most used fluoroquinolone antibiotic, Ofloxacin (OFL), from polluted water. The most common zeolitic imidazolate framework-8 (ZIF-8) and the green Zn(II) and benzene-1,3,5-tri-carboxylate (Zn3(BTC)2) were prepared through a facile synthetic route and characterized by means of Fourier-Transform Infrared (FT-IR) Spectroscopy, X-ray Powder Diffraction (XRPD), and Scanning Electron Microscopy (SEM) analyses. The two MOFs were compared in terms of both adsorption and kinetic aspects under real conditions (tap water, natural pH). Results showed that OFL was adsorbed in remarkable amounts, 95 ± 10 and 25.3 ± 0.8 mg g-1 on ZIF-8 and Zn3(BTC)2, respectively, following different mechanisms. Specifically, a Langmuir model well described the ZIF-8 profile, while for Zn3(BTC)2, cooperative adsorption occurred. Moreover the kinetic results were quite different, pseudo-second-order and sigmoidal, respectively. The suitability of ZIF-8 and Zn3(BTC)2 as adsorbent phases for water depollution was tested on tap water samples spiked with OFL 10 µg L-1. The obtained removal efficiencies, of 88% for ZIF-8 and 72% for Zn3(BTC)2, make these materials promising candidates for removing fluoroquinolone antibiotics (FQs) from polluted waters, notwithstanding their limited reusability in tap water, as demonstrated by in-depth characterization of the two MOFs after usage.Community psychiatry is a modern and effective form of care for patients with mental disorders. The aim of the study was to assess the impact of a rehabilitation program at the Mental Health Support Centre in Tarnowskie Góry (Poland) on reducing severity of anxiety and depression symptoms, as well as improving overall quality of life during the COVID-19 pandemic. The study involved 35 patients, examined with an authors' questionnaire on sociodemographic data, the Hospital Scale of Anxiety and Depression (HADS) and the Short Form Health Survey (SF-36). Data was obtained during the first national lockdown and compared to data gathered before the pandemic on the same study group. Imposed restrictions, negative emotional state during lockdown, subjectively assessed higher health risk and a low level of knowledge about the COVID-19 pandemic did not significantly correlate with a severity of depression and anxiety, as well as general quality of life. However, the comparison of the results obtained in HADS and SF-36 scales show a significant improvement in both categories. Rehabilitation activities, including physical training, cognitive exercise and social therapy, reduce the severity of the symptoms and have a positive effect on the overall quality of life in patients suffering from schizophrenia and affective disorders. LDC203974 concentration Therefore, holistic mental health support services may positively affect building an individual resilience. The severity of anxiety symptoms during the COVID-19 pandemic shows a negative correlation with the patient's age.Hydraulic oil is the key medium for the normal operation of hydraulic machinery, which carries various wear debris. The information reflected by the wear debris can be used to predict the early failure of equipment and achieve predictive maintenance. In order to realize the real-time condition monitoring of hydraulic oil, an impedance debris sensor that can detect inductance and resistance parameters is designed and studied in this paper. The material and size of wear debris can be discriminated based on inductance-resistance detection method. Silicon steel strips and two rectangular channels are designed in the sensor. The silicon steel strips are used to enhance the magnetic field strength, and the double rectangular detection channels can make full use of the magnetic field distribution region, thereby improving the detection sensitivity and throughput of the sensor. The comparison experiment shows that the coils in series are more suitable for the monitoring of wear debris. By comparing and analyzing the direction and the presence or absence of the signal pulses, the debris sensor can detect and distinguish 46 µm iron particles and 110 µm copper particles.