Rim Masmoudi*, Ahmed Mhalla, Amjed Ben Haouala, Wael Majdoub, Jawaher Masmoudi, Badii Amamou and Lotfi Gaha
Published on: 13th July, 2023
Internet addiction is a growing addictive behavior and a major public health problem worldwide. Several psychological factors can contribute to the problematic use of the Internet. This study aimed to determine the prevalence of Internet Addiction (IA) in a sample of university students and to examine the relationship between IA, self-esteem, and attachment styles.The present study was a cross-sectional study, involving 135 students from the Faculty of Medicine of Monastir. The participants completed a questionnaire, which contained the socio-demographic data, the reasons for Internet use, the Young Cyberaddiction scale to seek IA, the Relationships-style-questionnaire-RSQ to assess attachment style, and the Rosenberg Self-Esteem Scale (RSES).The mean age of the students was 21.5 ± 1.9 years old. They were 112 (83%) females. The prevalence of Internet addiction was 23.7%. The average connection time was 3.5 ± 1.8 hours/day. The most frequent online activities were chat (online discussion, forums ...) in 94.8% of cases followed by download activities (78.5%), scientific research (75.6%), online games (23.7%), and online shopping (13.3%). IA was associated with school failure, alcohol use, online gaming, and low self-esteem. The majority of the participants (84.4%) in this study reported an insecure attachment style. Logistic regression analysis showed a strong association between IA and fearful attachment style.IA was frequent among students. Fearful attachment style was found to be a risk factor for IA. This study highlights the impact of relationships between child and their caregivers on the development of addiction.
Md Abid Hasan*, Muhammad Kamal Hossain, Rony Chandra Shil, Sajia Azmi, Rubayiat Binte Jahangir and Nursad Jahan Sultana
Published on: 12th July, 2023
Background: The prevalence of musculoskeletal disorders is particularly high among garment workers, which poses a serious occupational health hazard. This issue is not taken seriously as an important issue in low-income countries like Bangladesh.Aim: Determine the prevalence of musculoskeletal conditions (MSDs) among garment workers in nine body regions and explore the relationship between MSDs and the general characteristics of the participants.Materials and methods: A cross-sectional study including 383 garment workers was done. A structured questionnaire (Standardized Nordic Musculoskeletal) was used. Results: The most common form of pain in the last year was lower back pain. Nine anatomical locations were studied, and workers most commonly experienced problems with their lower back (45.4%), upper back (36.6%), and knees (33.2%). Workers reported having more trouble in the knee (31.9%), upper back (35.0%), and lower back (43.9%) regions over the past seven days. In the past year and the last seven days, shoulder injuries were the least common. Conclusion: MSDs are widespread among garment industry employees. The back condition is the most commonly affected. The development of MSD is directly correlated with age and work experience.
Mohamed Zaid*, Mihail Popescu, Laurel Despins, James Keller, Marjorie Skubic and Giovanna Guidoboni
Published on: 12th July, 2023
Continuous noninvasive cuffless blood pressure (BP) monitoring is essential for early detection and treatment of hypertension. In this paper, we provide an overview of the recent advancements in cuffless BP sensors. These include contact wearable sensors such as electrocardiography (ECG), photoplethysmography (PPG), contact non-wearable sensors such as ballistocardiography (BCG), and contactless sensors such as video plethysmography (VPG). These sensors employ different measuring mechanisms such as pulse arrival time (PAT), pulse transit time (PTT), and pulse wave analysis (PWA) to estimate BP. However, challenges exist in the effective use and interpretation of signal features to obtain clinically reliable BP measurements. The correlations between signal features and BP are obtained by mechanism-driven models which use physiological principles to identify mathematical correlations, and data-driven models which use machine learning algorithms to analyze observational data to identify multidimensional correlations. On the one hand, applying mechanism-driven models to non-linear scenarios and incomplete or noisy data is challenging On the other hand, data-driven models require a large amount of data in order to prevent physically inconsistent predictions, resulting in poor generalization. From this perspective, this paper proposes to combine the strengths of mechanism-driven and data-driven approaches to obtain a more comprehensive approach, the physiology-informed machine-learning approach, with the goal of enhancing the accuracy, interpretability, and scalability of continuous cuffless BP monitoring. This holds promise for personalized clinical applications and the advancement of hypertension management.
Hira Iqbal*, Munib Ahmed Shafique and Muhammad Jadoon Khan
Published on: 11th July, 2023
The study was conducted to determine the absorption of essential and non-essential trace minerals from poultry feed to poultry products. Poultry feed, liver, muscles, and egg samples were collected from six poultry farms in Rawalpindi and Islamabad. Mercury, Lead, Cadmium, Chromium, and Iron were analyzed in the samples using Inductively Coupled Plasma Optical Emission Spectrophotometer. Iron, Lead, and Chromium exceeded the permissible limits set by World Health Organization and National Research Council in Poultry feed. Lead was high in the liver, breast muscles, thigh muscles, egg albumen, and egg yolk. Chromium was found in feed, egg yolk, egg albumen, and two (02) of the liver and breast muscle samples. Mercury was not detected in any of the samples. The liver contains significantly higher concentrations of detected heavy metals as compared to thigh and breast muscles and egg yolk contained significantly high concentrations of Iron, Cadmium, and Lead as compared to egg albumen. Standards requirements for feed manufacturers and poultry farmers should be maintained to monitor and mitigate routes of entry of contaminants in the food chain.
Objective: Assessment of heart rate variability (HRV) is a non-invasive and reliable method to evaluate autonomic disorders after cerebral ischemia. The present study was conducted to investigate the therapeutic potential of IC87201 in reducing post-stroke cardiac dysfunction. Materials and methods: Cerebral ischemia was induced by the middle cerebral artery occlusion (MCAO) method in 15 anesthetized adult male rats in three MCAO, MCAO+ DXM, and MCAO+ IC87201 groups, for one hour. Electrocardiogram was recorded before, and 48 hours after ischemia and drug administration, and HRV parameters were calculated from R-R intervals. In the treatment groups, IC87201 and Dextromethorphan hydrobromide monohydrate (DXM) were injected after an ischemic period. Results: After brain ischemia, the R-R interval decreased and consequently heart rate increased. The R-R intervals were used to extract the HRV frequency and time domains, including normalized low frequency (LF), high frequency (HF), LF/HF ratio, and standard deviation of R-R interval (SDRR). Normalized LF and LF/HF ratio enhanced 48 hours after ischemia, while normalized HF and SDRR significantly reduced compared to the pre-ischemic state. All HRV parameters had returned to their pre-ischemic level 48 hours after IC87201 and DXM administration, except SDRR, which recovered only in the IC87201 administered group. Conclusion: Based on our findings, it can be concluded that cerebral ischemia significantly worsens HRV parameters as a result of sympathetic overactivity. These changes were reversed by administering DXM and IC87201, but IC87201 has generally been more effective in lowering lesions. As a result, IC87201 can be introduced as an effective substance for the treatment of post-ischemic cardiac side effects.
Pramod Yadav*, Vishal Chandra, Vikas Raghuvanshi, Amarjeet Yadav, Adhishree Yadav, Samim Ali and Vivek Mani Tripathi
Published on: 10th July, 2023
The 2019 COVID-19 pandemic caused by SARS-CoV-2 has resulted in many fatalities worldwide. Despite various types of supportive care, mortality rates for patients with comorbidities remain high. To explore alternative treatment options, interferons (IFNs) have emerged as promising therapeutic drugs for SARS-CoV-2. This review aims to investigate the potential of IFNs as a drug with details on their mechanisms of action, and available data on their use with ongoing clinical trials, results, potential limitations, and challenges. Recently published research articles, which are systematically searched through online databases, have been selected and found that IFNs have colossal potential in treating SARS-CoV-2 infection by modulating the host’s immune response and inhibiting viral replication and decreasing the severity of disease and hospitalization (p = 0.03, ± 0.05) and (p = 0.04, ± 0.05) respectively. However, due to less available data, more controlled and randomized trials are needed to confirm the efficacy and safety of IFN therapy. The optimal dosing and duration of IFN therapy also remain to be determined. Although further research is needed the wait for ongoing clinical trial results under investigation is also important for a better understanding of IFN therapy.
Gray mold disease, caused by the fungus Botrytis cinerea, causes heavy losses in strawberries. The use of chemical fungicides due to the dangers for humans and the environment has caused attention to reduce their consumption and use biological methods. In this research, the effects of zinc oxide, copper, and silver nanoparticles have been synthesized from an aqueous extract of cloves, and the probiotic bacteria Lactobacillus casei by the green method was investigated on the gray mold disease of strawberries. The results showed that concentrations of 10% of zinc oxide nanoparticles synthesized from aqueous extract of cloves can completely control this pathogen on the culture medium and the fruit. Zinc and silver nanoparticles produced by Lactobacillus casei prevented 93.7% and 81% of fungal growth in the culture medium, respectively. Other treatments did not show a good inhibitory effect on the fungus. All treatments were able to prevent 100% to 50% of fungal growth after 96 hours on strawberries. The investigation of the storage characteristics showed the positive effect of the examined nanoparticles on reducing the rate of change of the physicochemical characteristics of the strawberry fruit tissue. Apparent decay was significantly reduced and samples treated with nanoparticles scored higher in sensory evaluation compared to control. Also, investigating the toxicity of nanoparticles in this experiment on the HepG2 cell line showed that Compared to the control, copper and zinc nanoparticles did not have significant toxicity on cells, but silver nanoparticles led to 25% cell death. This research provides promising results in the field of using nanoparticles for pre-harvest and post-harvest control of plant diseases.
Suraj Narayanan Chembukavu, Sana Syed Samreen and Pankaj Yadav*
Published on: 6th July, 2023
Pre-eclampsia is a pregnancy-associated condition, which is characterized by the onset of hypertension and proteinuria. It is one of the leading causes of maternal and neonatal mortality and this affliction has been recorded in around 8% of all pregnancies in the world. In addition to this, the etiopathology of this condition is very less understood and the resources available to diagnose and treat it are limited. Prior studies suggest more than a hundred possible diagnostic biomarkers that could be used to detect this disease early on. However, most of them are not feasible due to several reasons including stability, cost, safety, etc. Here two biomarkers HtrA3 (high-temperature requirement A3) and NGAL (Neutrophil Gelatinase Associated Lipocalin) are selected for the detection of pre-eclampsia, and we compare their efficacy in the detection of pre-eclampsia based on their specificity, ease of use, speed, stage of detection and source (invasiveness). We found that these two biomarkers are efficient under some parameters, and inefficient under others. The scoring system used in the current study suggests that NGAL is a superior biomarker. The results of this study help to develop a stronger understanding of both these biomarkers in the short and long term to classify the biomarkers more efficiently and understand the complicated pathologies of pre-eclampsia.
Miquéias Ferreira Gomes, Ginandrya Rodrigues Araújo, Ziom Drak Souza Silva, Raquel Maria Ferreira de Sousa and Herbert Júnior Dias*
Published on: 6th July, 2023
Metabolites of Brazilian Cerrado species are considered an immense font of biologically active compounds The diversity of organic compounds generated by the secondary metabolism of various Cerrado plants draws attention especially because many of these compounds have the capacity to be structurally modified and, consequently, produce other very interesting derivatives for pharmacological purposes. Despite this, little is described in the literature about fast, easy, and accessible identification methods for any laboratory, such as infrared spectroscopy. In this sense, this work demonstrates the synthesis and elucidation through spectroscopic techniques of lapachol and its synthetic derivatives. Through quick and simple extractions or reactions, lapachol, β-lapachone, and hydroxy-hydrolapachol were obtained with adequate yields. From this, the main FTIR absorptions of the mentioned naphthoquinones are described, which facilitates the identification of these metabolites with high biological potential. The present work contributes could become a simpler source of data for extraction, synthesis, and spectroscopic characterization by FTIR of the compounds.
Introduction: The bone marrow aspirate examination is defined as a quantitative and qualitative study of bone marrow cells obtained by puncture and aspiration. Aim: Our objective was to evaluate the practice of this exam at Andrainjato Fianarantsoa University Hospital in order to improve its diagnostic relevance.Method: This is a prospective and descriptive cross-sectional study of all bone marrow aspirates performed at the Andrainjato Fianarantsoa University Hospital Madagascar, during 18 months, from January 2021 to June 2022.Results: Forty-two bone marrow aspirate examinations were performed during the study period, among the 338 requests for hematological analysis received, representing a percentage of 1.26%. The average age of the patients was 32.17 years, with a sex ratio of 2.5. The prescription was of hospital origin in 83.3% of patients, motivated by the disturbance of the blood count in 78.6% of cases. Thirty-three requests were evaluated as relevant prescriptions. Coupled with the realization of the bone marrow examination, the haemograms were pathological in 78.6% of cases. The result of the bone marrow aspirate showed normal marrow cytology (16.7%), reactive marrow (23.8%), pathological marrow (50.0%), and hemodiluted marrow (9.5%). Dysmyelopoiesis (33.3%), multiple myeloma (23.8%), and acute leukemia (19.0%) were the main pathologies found. The difficulties encountered were related to the poor quality of the equipment and the non-availability of other complementary explorations.Conclusion: The bone marrow aspirate examination is technically feasible at Andrainjato Fianarantsoa University Hospital despite the existence of difficulties. The commitment to the process of continuous improvement of quality would impose the improvement of the technical platform.
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