Evaluating knowledge, practice, and attitude of Syrian population on sexually transmitted infections and human immunodeficiency virus.

BACKGROUND: Human immunodeficiency virus (HIV) and sexually transmitted infections (STIs) can cause severe and fatal complications; knowledge about these diseases is essential for promoting safe sex practices and modifying behaviours that are harmful to one's health. This study investigates Syrian people's understanding, attitudes, and behaviors towards HIV/AIDS and STIs, aiming to identify factors promoting safe sex practices and modifying harmful behaviors. METHODS: This online cross-sectional study was conducted in Syria between 3 September and 23 November 2022, involving all 18+ individuals. The questionnaire was adapted from a previous study containing 74 questions from five sections: socio-demographic information, knowledge and practice regarding STIs, knowledge and practice regarding HIV/AIDS, attitude towards HIV/AIDS, and attitude regarding STIs and analyzed using descriptive and multivariate logistic regression. RESULTS: The study involved 1073 participants mostly aged between 18-30, with 55.3% females. Over half had good awareness of STIs and HIV/AIDS, with 55% and 63% respectively. Specifically, the overall knowledge level of STI type, signs/symptoms, risks of transmission, preventive methods, and complications for untreated STIs were (45.7%), (52.9%), (58.1%), (66.1%), and (59.6%), respectively. Medical field respondents had higher knowledge of HIV (P-value < 0.05, OR = 2). CONCLUSION: Our results show that Syrian people have a knowledge level of STIs and HIV was moderate. However, the attitude toward STIs was negative, as less than half of the participants had a good attitude. It is essential to solve these knowledge gaps, especially in low-income countries such as Syria.

Prevalence and knowledge of polycystic ovary syndrome (PCOS) and health-related practices among women of Syria: a cross-sectional study.

Polycystic Ovarian Syndrome (PCOS) is a prevalent metabolic and hormonal disorder affecting women of reproductive age. Limited data exists on Syrian women's PCOS awareness and health behaviors. This study aimed to gauge PCOS prevalence, knowledge, awareness, and health-related practices among Syrian women. A cross-sectional online survey was conducted from 11 February to 27 October 2022, targeting Syrian women aged 18-45. Collaborators from specific medical universities distributed a questionnaire adapted from a Malaysian paper through social media platforms. Out of 1840 surveyed Syrian women, 64.2% were aged 21-29, and 69.6% held bachelor's degrees. Those with a bachelor's degree exhibited the highest mean knowledge score (12.86), and women previously diagnosed with PCOS had a higher mean knowledge score (13.74) than those without. Approximately 27.4% were confirmed PCOS cases, and 38.9% had possible cases. Women with PCOS were 3.41 times more likely to possess knowledge about the condition. The findings suggest a moderate level of PCOS knowledge and health-related practices among Syrian women, emphasizing the need for increased awareness. Consistent local PCOS screening programs, in collaboration with obstetrics and gynecology professionals, are crucial for improving understanding and clinical symptom recognition of this condition among Syrian women.

A Multiwall Path-Loss Prediction Model Using 433 MHz LoRa-WAN Frequency to Characterize Foliage's Influence in a Malaysian Palm Oil Plantation Environment.

Palm oil is the main cash crop of tropical Asia, and the implementation of LPWAN (low-power wide-area network) technologies for smart agriculture applications in palm oil plantations will benefit the palm oil industry in terms of making more revenue. This research attempts to characterize the LoRa 433 MHz frequency channels for the available spreading factors (SF7-SF12) and bandwidths (125 kHz, 250 kHz, and 500 kHz) for wireless sensor networks. The LoRa channel modeling in terms of path-loss calculation uses empirical measurements of RSS (received signal strength) in a palm oil plantation located in Selangor, Malaysia. In this research, about 1500 LoS (line-of-sight) and 300 NLoS (non-line-of-sight) propagation measurement data are collected for path-loss prediction modeling. Using the empirical data, a prediction model is constructed. The path-loss exponent for LoS propagation of the proposed prediction model is found to be 2.34 and 2.9 for 125-250 kHz bandwidth and 500 kHz bandwidth, respectively. Again, for the NLoS propagation links, the attenuation per trunk is found to be 7.58 dB, 7.04 dB, 5.35 dB, 5.02 dB, 5.01 dB, and 5 dB for SF7-SF12, and the attenuation per canopy is found to be 9.32 dB, 7.96 dB, 6.2 dB, 5.89 dB, 5.79 dB, and 5.45 dB for SF7-SF12. Moreover, the prediction model is found to be the better choice (mean RMSE 2.74 dB) in comparison to the empirical foliage loss models (Weissberger's and ITU-R) to predict the path loss in palm oil plantations.