Electronic Transport Properties of Molecular Clusters Sb4O6, P4Se3, and P4O6.

Inorganic molecular crystal (IMC) is a trending class of materials in which structural units comprise molecular cages or clusters bonded via van der Waal forces. The structure-property relationship in IMCs is less known due to the unusual assembly of molecular clusters in these materials. In this paper, the density functional theory-calculated electronic transport properties of the molecular clusters of antimony oxide (Sb4O6), phosphorus triselenide (P4Se3), and phosphorus trioxide (P4O6) are described in detail. The calculated values of highest occupied molecular orbital-lowest unoccupied molecular orbital gaps appeared as 5.487, 2.296, and 4.425 eV for Sb4O6, P4Se3, and P4O6, respectively. The work was carried out to explore the charge transport mechanism in IMCs in order to disclose their potential in practical applications. The calculations involved charge-transfer integral based on Marcus theory to compute the electronic coupling (V), reorganization energies (λ), and hopping rate (k) in the structures. The hopping rate for Sb4O6, P4Se3, and P4O6 is found as 8.49 × 10-12, 1.28 × 10-14, and 2.51 × 10-20 s-1, respectively. The transport properties of Sb4O6 are found better, which predicts the application of the relevant IMC for device grade applications. The findings of this study are important for future application of the IMCs in electronic and optoelectronic applications.

Application of computer vision and deep learning models to automatically classify medically important mosquitoes in North Borneo, Malaysia.

Mosquito-borne diseases have emerged in North Borneo in Malaysia due to rapid changes in the forest landscape, and mosquito surveillance is key to understanding disease transmission. However, surveillance programmes involving sampling and taxonomic identification require well-trained personnel, are time-consuming and labour-intensive. In this study, we aim to use a deep leaning model (DL) to develop an application capable of automatically detecting mosquito vectors collected from urban and suburban areas in North Borneo, Malaysia. Specifically, a DL model called MobileNetV2 was developed using a total of 4880 images of Aedes aegypti, Aedes albopictus and Culex quinquefasciatus mosquitoes, which are widely distributed in Malaysia. More importantly, the model was deployed as an application that can be used in the field. The model was fine-tuned with hyperparameters of learning rate 0.0001, 0.0005, 0.001, 0.01 and the performance of the model was tested for accuracy, precision, recall and F1 score. Inference time was also considered during development to assess the feasibility of the model as an app in the real world. The model showed an accuracy of at least 97%, a precision of 96% and a recall of 97% on the test set. When used as an app in the field to detect mosquitoes with the elements of different background environments, the model was able to achieve an accuracy of 76% with an inference time of 47.33 ms. Our result demonstrates the practicality of computer vision and DL in the real world of vector and pest surveillance programmes. In the future, more image data and robust DL architecture can be explored to improve the prediction result.

Population genetic structure of tropical bed bug (Hemiptera: Cimicidae) populations and their breeding pattern in Iraq.

A study was conducted to investigate the population genetic structure and breeding pattern of 140 tropical bed bugs, Cimex hemipterus (F.) (Hemiptera: Cimicidae), collected from 14 infested sites in major cities in Iraq. The samples were genotyped using a set of 7 polymorphic microsatellite markers. High genetic variety was seen among populations, with an average of 2-9 alleles per locus. The number of alleles across 7 microsatellite loci was between 6 and 18. There was a notable disparity in the alleles per loci when comparing the overall population to those within it. The overall population exhibited an average observed heterozygosity of 0.175 and an average expected heterozygosity of 0.730. Among the population, the average observed heterozygosity was 0.173, while the average expected heterozygosity was 0.673. Analysis of molecular variance (AMOVA) revealed that 93% of the genetic variability was within the populations, and 7% was among them. The genetic differentiation coefficient (FST = 0.045), indicates a low degree of genetic differentiation and a high degree of inbreeding (FIS = 0.761), as indicated by notably significant positive inbreeding coefficients. Admixed individuals were revealed using STRUCTURE and neighbor-joining phylogenetic trees, demonstrating moderate gene flow between populations and a lack of genetic structure in the regional groups. Thus, both active dispersion and human-mediated dispersion possess the potential to influence the low population genetic structure of tropical bed bug C. hemipterus populations in Iraq, which can have implications toward tropical bed bug and management strategies.

Green nanoparticles as multifunctional nanomedicines: Insights into anti-inflammatory effects, growth signaling and apoptosis mechanism in cancer.

Recently, green nanotechnology got great attention due to their reliable, sustainable, and eco-friendly synthesis protocols. The green nanoparticles (GNPs) are preferred over chemically synthesized nanoparticles owing to less destructive effects associated with the synthesis procedures as well as therapeutic involvement. In this review, we have discussed the applications of GNPs in inflammation-mediated disorders, with special emphasis on cancer, initiated due to oxidative stress and inflammatory cascade. Real-time mechanism based studies on GNPs have suggested their anticancer effects through inducing apoptosis, inhibiting angiogenesis, tissue invasion metastasis, reduced replicative capabilities in addition to target specific different signaling molecules and cascades involved in the development or progression of cancer. Moreover, the association of GNPs with the inhibition or induction of autophagy for the management of cancer has also been discussed. A large number of studies showed the GNPs have multifunctional biomedical properties of theranostic prominence. Therefore, the development of GNPs with naturally established systems could upsurge their definite applications as biomedicines including target specific destruction of the cancerous cells.

Rainwater harvesting for agriculture development using multi-influence factor and fuzzy overlay techniques.

Rainwater harvesting (RWH) is an essential technique for enhancing agricultural development, particularly in regions facing water scarcity or unreliable rainfall patterns. Water shortage, however, is one of the key causes of low crop production especially in mountainous regions like the Khyber Pakhtunkhwa province where most rainwater is lost by runoff. Therefore, rainwater harvesting could be a suitable to make better use of runoff and increase crop production. The study focuses on selecting suitable rainwater harvesting sites in District Karak to enhance agriculture by utilizing multi-influence factor (MIF) and fuzzy overlay techniques. We considered seven factors, i.e., land use land cover (LULC), slope, geology, soil, rainfall, lineament, drainage density, to create a ranking system to understand its application in site selection analysis. The results were combined into one overlay process to produce a rainwater harvesting suitability map. The weighted overlay analysis of the MIF model results reveals that 167.96 km2 area has a very high potential for rainwater harvesting, 874.17 km2 has a high potential, 1182.92 km2 has a moderate and 354.50 km2 has a poor potential for rainwater harvesting. The fuzzy overlay analysis revealed that 257.53 km2 has a very high potential for rainwater harvesting, 896.56 km2 area is classified as high, 1018.30 km2 moderate, and 407.7 km2 has poor potential for rainwater harvesting. The findings of this research work will help the policymakers and decision-makers construct various rainwater harvesting structures in the study area to overcome the water shortage problems.

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach.

Despite significant improvement in prognosis, myocardial infarction (MI) remains a major cause of morbidity and mortality around the globe. MI is a life-threatening cardiovascular condition that requires prompt diagnosis and appropriate treatment. The primary objective of this research is to identify instances of anterior and inferior myocardial infarction by utilizing data obtained from Ultra-wideband radar technology in a hospital for patients of anterior and inferior MI. The collected data is preprocessed to extract spectral features. A novel feature engineering approach is designed to fuse temporal features and class prediction probability features derived from the spectral feature dataset. Several well-known machine learning models are implemented and fine-tuned to obtain optimal performance in the detection of anterior and inferior MI. The results demonstrate that integration of the fused feature set with machine learning models results in a notable improvement in both the accuracy and precision of MI detection. Notably, random forest (RF) and k-nearest neighbor showed superb performance with an accuracy of 98.8%. For demonstrating the capacity of models to generalize, K-fold cross-validation is carried out, wherein RF exhibits a mean accuracy of 99.1%. Furthermore, the examination of computational complexity indicates a low computational complexity, thereby indicating computational efficiency.

Effect of Ramadan Fasting on Body Weight and Body Mass Index (BMI) in Public Sector Undergraduate Medical Students of Peshawar.

Objective: To determine the effects of fasting on weight and eventually on Body Mass Index (BMI) in medical students of a Public Sector Medical College. Methods: It was a prospective analytical study conducted in a Public Sector Medical College in Peshawar City from 28th March to 20th May 2022 (1443 Hijri). Convenience Sampling was used and 115 students (58 male and 57 female) of 1st Year MBBS to Final Year MBBS were enrolled. Four readings of weight were taken, one before, two during, and one after Ramadan. A well-structured self-administered questionnaire was used to inquire about basic demographic characteristics, sleep patterns during Ramadan and normal routine, and family history of obesity. The collected data were analyzed through SPSS software and a repeated measures ANOVA test was used for drawing statistical conclusions. Results: A slight increase in the mean weight was observed during the second week of Ramadan while a loss of 0.4 kg occurred during the fourth week of Ramadan, F (1, 81) = 1777.55; p < 0.0001. The same pattern was observed for BMI, F (1, 81) = 2705.18; p < 0.0001. However, the weight and the BMI were regained in two to three weeks following Ramadan. Conclusion: Ramadan offers a non-hazardous way of weight loss. Further studies across different geographical locations with larger sample sizes should be conducted to identify and quantify the association between weight and fasting and also to identify potential confounders.

Detection of toxoplasmosis in pets and stray cats through molecular and serological techniques in Khyber Pakhtunkhwa, Pakistan.

BACKGROUND: Toxoplasma gondii is an important parasite that belongs to the phylum Apicomplexa, distributed globally, causing major health issues for a wide range of hosts, including humans, native and wild animals. METHODS: In the present study, we detected IgG and IgM antibodies through an ELISA kit and DNA of T. gondii through PCR in 197 pets and stray cats in Peshawar, Charsadda, Mardan, and Kohat districts of Khyber Pakhtunkhwa (Pakistan) to estimate the existence of feline toxoplasmosis. RESULTS: The current study revealed that stray cats have a significant infection rate of T. gondii (74.6%) as compared to pet cats (25.4%). In all the four districts, the prevalence of T. gondii was pointedly higher in district Kohat (95.5%) in the feline population. In comparison to the female (75.18%) and male (both pets and stray) cats have a maximum infection of (81.66%) non-significantly. The prevalence of T. gondii was observed to be significantly higher (91.66%) in the older and greater than 4 year old population of cats as compared to the younger ones. In poor health condition, the cat populations has a higher risk of infection of 92.3% as compared to healthy and poor body condition (73.91%) and (82.6%) respectively. The chronic and reactivated chronic conditions of toxoplasmosis were higher (58.37%) as compared to the acute condition. CONCLUSION: It has been concluded that toxoplasmosis is widely spread in the studied population.The outcomes of the present study show that T. gondii infection has a significant impact on the type of cat, age, and area, which implies a serious threat to human beings. Therefore, genotyping of T. gondii strains from different hosts is needed to forecast the current approach for prevention and control of this zoonotic parasite.

Exogenous melatonin regulates chromium stress-induced feedback inhibition of photosynthesis and antioxidative protection in Brassica napus cultivars.

KEY MESSAGE: Melatonin is an early player in chromium stress response in canola plants; it promotes ROS scavenging and chlorophyll stability, modulates PSII stability and regulates feedback inhibition of photosynthesis conferring chromium tolerance. The development of heavy metals, especially chromium (Cr)-tolerant cultivars is mainly constrained due to poor knowledge of the mechanism behind Cr stress tolerance. In the present study, two Brassica napus contrasting cultivars Ac-Excel and DGL were studied for Cr stress tolerance by using chlorophyll a fluorescence technique and biochemical attributes with and without melatonin (MT) treatments. Cr stress significantly reduced the PSII and PSI efficiency, biomass accumulation, proline content and antioxidant enzymes in both the cultivars. The application of MT minimized the oxidative stress, as revealed via a lower level of reactive oxygen species (ROS) synthesis (H2O2 and OH-). Enhanced enzymatic activities of important antioxidants (SOD, APX, CAT, POD), proline and total soluble protein contents under MT application play an effective role in the regulation of multiple transcriptional pathways involved in oxidative stress responses. Higher NPQ and Y(NPQ) observed in Cr stress tolerant cv Ac-Excel, indicating that the MT-treated tolerant cultivar had better ability to protect PSII under Cr stress by increasing heat dissipation as photo-protective component of NPQ. Reduced PSI efficiency along with increased donor end limitation of PSI in both canola cultivars further confirmed the lower PSII activity and electron transport from PSII. The Cr content was higher in cv. DGL as compared to (that in Ac-Excel). The application of MT significantly decreased the Cr content in leaves of both cultivars. Overall, MT-induced Cr stress tolerance in canola cultivars can be related to improved PSII activity, Y(NPQ), and antioxidant potential and these physiological attributes can effectively be used to select cultivars for Cr stress tolerance.

Development and Characterization of Novel Polymorphic Microsatellite Markers for Tapinoma indicum (Hymenoptera: Formicidae).

Tapinoma indicum (Forel) (Hymenoptera: Formicidae) is a nuisance pest in Asia countries. However, studies on T. indicum are limited, especially in the field of molecular biology, to investigate the species characteristic at the molecular level. This paper aims to provide valuable genetic markers as tools with which to study the T. indicum population. In this study, a total of 143,998 microsatellite markers were developed based on the 2.61 × 106 microsatellites isolated from T. indicum genomic DNA sequences. Fifty selected microsatellite markers were amplified with varying numbers of alleles ranging from 0 to 19. Seven out of fifty microsatellite markers were characterized for polymorphism with the Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium (LD) analysis. All seven microsatellite markers demonstrated a high polymorphic information content (PIC) value ranging from 0.87 to 0.93, with a mean value of 0.90. There is no evidence of scoring errors caused by stutter peaks, no large allele dropout, and no linkage disequilibrium among the seven loci; although loci Ti-Tr04, Ti-Tr09, Ti-Te04, Ti-Te13, and Ti-Pe5 showed signs of null alleles and deviation from the HWE due to excessive homozygosity. In conclusion, a significant amount of microsatellite markers was developed from the data set of next-generation sequencing, and seven of microsatellite markers were validated as informative genetic markers that can be utilized to study the T. indicum population.

COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion.

In healthcare, a multitude of data is collected from medical sensors and devices, such as X-ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that can be analyzed by artificial intelligence methods for early diagnosis of diseases. Recently, the outbreak of the COVID-19 disease caused many deaths. Computer vision researchers support medical doctors by employing deep learning techniques on medical images to diagnose COVID-19 patients. Various methods were proposed for COVID-19 case classification. A new automated technique is proposed using parallel fusion and optimization of deep learning models. The proposed technique starts with a contrast enhancement using a combination of top-hat and Wiener filters. Two pre-trained deep learning models (AlexNet and VGG16) are employed and fine-tuned according to target classes (COVID-19 and healthy). Features are extracted and fused using a parallel fusion approach-parallel positive correlation. Optimal features are selected using the entropy-controlled firefly optimization method. The selected features are classified using machine learning classifiers such as multiclass support vector machine (MC-SVM). Experiments were carried out using the Radiopaedia database and achieved an accuracy of 98%. Moreover, a detailed analysis is conducted and shows the improved performance of the proposed scheme.

Prognostic potential of CK-19 managing disseminated oral squamous cell carcinomas in Pakistan: A descriptive cross-sectional study.

A cross-sectional study was conducted to assess the adoptability of CK-19 as a routine diagnostic assay and potential prognostic marker following disseminated oral squamous cell carcinoma in Pakistani population. The current descriptive study was conducted at Isra Dental College Hospital, Isra University, Hyderabad, Pakistan. Suspected patients of oral squamous cell carcinomas (OSCC), who visited the Isra Dental College Hospital's outpatient department from January 2014 up to January 2015 with four year follow up (from January 2015 up to December 2019), were included after ethical approval of the Institutional board. SPSS version 21.0 was used for data analysis. Sixty cases of oral squamous cell carcinoma (OSCC) were selected for CK-19 quantification by using PCR before and after incisional biopsy. Of the 60 included subjects, fifty-two (87 %) were male, whereas only 8 were female. The mean age of females was 43.2±21.5years and the mean age of males was 36.14±14.1years. Of the 12 CK-19 positive cases, only seven cases of OSCCs were found positive following four year follow up duration. Our study shows that CK-19 has a positive (20%) prognostic potential for diagnosing disseminated carcinomas (p=0.0001). Before adopting CK-19 as a routine laboratory assay for diagnosing disseminated carcinomas, proper research is required to fulfil existing knowledge gap and standardising clinical and histopathological criteria for disseminating OSCCs in parallel to CK-19 concentration.

Effect of nebivolol beneficial on lipid profile and glycemic control in comparison with Atenolol in patients with type 2 DM with concomitant hypertension.

Blood pressure control in hypertensive patients with metabolic abnormalities is challenging because many antihypertensive drugs adversely affect metabolism. Nebivolol a 3rd generation vasodilatory ß-blocker offer neutral or beneficial effects on insulin sensitivity and lipid metabolism. The purpose of this study was to evaluate the effect of nebivolol and atenolol on glycemic control and lipid profile in type 2 diabetes patients with concomitant hypertension. We conducted a 12 weeks double blind randomized clinical trial at Sheik Zayed Hospital Rahim Yar Khan. Patients were randomly divided in to two groups. Patients in group were given tablet nebivolol 5-10mg while patients in group B were given tablet Atenolol 25-50mg/daily for a period of 12 weeks. Pre and post data were analyzed by SPSS 20. After 12 weeks, Both drugs lowered blood pressure significantly i.e. nebivolol (SBP from152±12 to130±14 with p=0.004, DBP from 95±12 to78±8.5 with p=0.002) Atenolol (SBP from148±16.5 to 128±15.5 with p=0.006, DBP from 90±10.5 to 82±12 with p=0.003).Similarly both Nebivolol and Atenolol did not any significant effect on glycemic control and lipid profile at 12 week with in groups. However when comparison was done between two groups, Nebivolol significantly reduced blood sugar (p=0.001), HbA1c (p=0.0032), total Cholesterol (p=0.002), triglycerides (p=0.012), LDL-Cholesterol (p=0.007) and HDL-Cholesterol (p=0.001) as compared to atenolol. In comparison with atenolol, Nebivolol has a beneficial effect on glycemic control and serum lipid profile.

Millet derived bioactive peptides: A review on their functional properties and health benefits.

Millets, cereals and grains play an important role in providing adequate nutrition and as well shown to possess beneficial effects on lifestyle disorders. Several studies on millet seed proteins and their hydrolysates, have demonstrated their physiological role in the prevention of chronic diseases by acting on various molecular targets. In recent years, the importance of food derived bioactive peptides is surging at an exponential rate in both nutraceutical and pharmaceutical research. A considerable number of earlier reviews have discussed their role in improving the human health. However, a concise review on millet-derived peptides and their purported role in human health is still lacking. Thus, this review provides an extensive survey of key bioactive millet peptides (BAMPs) reported till date in a succinct form. BAMPs are derived through enzymatic hydrolysis of the seed proteins and are known to perform several regulatory functions in vitro and in vivo. Several in silico and in vitro studies have demonstrated the antimicrobial, antioxidant, antihypertensive, anticancer and antidiabetic properties of BAMPs. Even though, the biological application of these peptides profoundly depends on the size and structure, the absorption in target tissues and bioavailability also play a critical role. Thus, the aim of this review is to discuss and summarize several key BAMPs from various millets reported so far, focusing on their proposed multifaceted biochemical activity, production, purification and mechanism of action. In addition, some of the key parameters for the successful delivery and bioavailability of these peptides are also highlighted. Nevertheless, in-depth investigations on the in vivo mode of action of BAMPs crucial in future to validate and translate these observed effects to human health benefits.

A DFT study on a borophene/boron nitride interface for its application as an electrode.

In order to search for a new anode material for lithium-ion batteries (LIBs), a borophene/boron nitride (B/BN) interface was investigated in detail using density functional theory. Borophene is an excellent two-dimensional (2D) anode material that offers high charging capacity and a low energy barrier, but it suffers from stability issues when it is used in its free-standing form. The findings of this work indicate that the thermal and mechanical stabilities of the borophene epilayer are notably increased by preparing its interface with a boron nitride substrate. The electronic properties of the lithiated and delithiated interface exhibited metallic behavior, whereas the mechanical stiffness of the interface increased three times when compared with that of the pristine borophene. The thermal stability was calculated by molecular dynamics and indicated a six times increase in its value for the interface. The interface exhibited a specific charging capacity of 1698 mA h g-1, which is higher than that of bare borophene and several other 2D materials. Furthermore, nudged elastic band (NEB) calculations indicated a low energy barrier to diffusion of Li in the interface. These advantages of the B/BN interface make it an excellent choice as an anode material for LIBs.

From envy to social anxiety and rumination: How social media site addiction triggers task distraction amongst nurses.

AIM: To investigate the effect of social networking site addiction on task distraction among nurses. BACKGROUND: Most of the existing literature focuses only on positive aspects of social networking site, while negative aspects thereof have rarely been highlighted. The current study focuses on finding the impact of social networking site addiction and mental states like envy, social anxiety and rumination on task distraction among nurses. METHOD: Data were collected through self-administrated questionnaires from 378 nurses in Pakistan. The study used descriptive and inferential statistics including correlation and structural equation modelling techniques to test the hypothesized model. RESULTS: The results suggest that social networking site addiction results in task distraction which is further enhanced by envy, social anxiety and rumination among nurses. CONCLUSION: The study contends that social networking site addiction stimulates various stressors among nurses such as envy, social anxiety and rumination that augment its negative effects on task distraction. IMPLICATIONS FOR NURSING MANAGEMENT: Findings of the study can be used develop strategies to control task distraction among nurses to limit its negative impact and to enhance work performance. Awareness campaigns can help nurses and other healthcare professionals to comprehend the effects of using social media at work.

Isolation and characterization of human DNA recovered from Cimex hemipterus (F.) (Hemiptera:Cimicidae).

The ability to isolate and generate a DNA profile from human DNA recovered from tropical bed bugs (Cimex hemipterus) for identifying individuals can be useful for public health, forensic, and medical entomology. In this study, genomic DNA was recovered from both male and female bed bugs at every time interval tested (0, 1, 3, 5, 7, 14, 30, and 45 days post blood meal). The total DNA concentrations recovered from male bed bugs ranged from 12.93 to 65.97 ng/µL, while the total DNA concentrations from female bed bugs ranged from 8.93 to 44.53 ng/µL. However, based on the results from the BLAST search and PCR products, human DNA could be detected from female bed bugs at 0, 3, 5, 14, and 30 days post blood meal using the D18S51 marker. Concentrations of PCR products of the D18S51 locus from male bed bugs ranged from 4.20 to 35.50 ng/µL, whereas, for female bed bugs, concentrations ranged from 4.31 to 22.47 ng/µL. These were generally higher compared to the PCR products of the first hypervariable part (HVR1) marker. The results indicate the HVR1 locus was less sensitive than the D18S51 locus.

The Role of Acute Hyperglycemia on the Risk of Malignant Arrhythmia in Acute Myocardial Infarction Patients: A Study of Myocardial Damage, Ion Channel Changes and Inflammatory Factors.

BACKGROUND: acute myocardial infarction (AMI) is often followed by hyperglycemia. To date, there is no study that examine the role of myocardial damage, ion channel changes and increased inflammatory response as a pathomechanism of malignant arrhythmias due to hyperglycemia in AMI patients. The aim of this study is to determine the effect of acute hyperglycemia on the occurence of malignant arrhythmias, troponin I, VLP, echocardiographic strain, ion channel changes (CaMKII) and hsCRP. This study also aims to assess the effect of troponin I, VLP, GLS, CaMKII and hsCRP on the occurence of malignant arrhythmias in AMI patients with acute hyperglycemia. METHODS: a cross-sectional study followed by a cohort study was conducted on AMI patients treated at ICCU Cipto Mangunkusumo Hospital Jakarta during November 2018 to May 2019 period. Patients with severe infections and who had experienced malignant arrhythmias at admission were excluded from the study. The occurence of malignant arrhythmias as the main outcome of this study and CaMKII level were assessed on the fifth day of treatment. Patients who died before the fifth day of treatment due to causes other than malignant arrhythmias were excluded from analysis. The association between acute hyperglycemia with VLP and the occurence of malignant arrhythmias was analyzed through a chi-square test, whereas the differences between troponin I, GLS, CaMKII and hsCRP, based on the hyperglycemia status of the patient, were analyzed by Mann-Whitney U test. RESULTS: a total of 110 patients were included in the study. Two patients died on the third day of observation due to malignant arrhythmias. No significant relationship was found between acute hyperglycemia in AMI and malignant arrhythmias (RR = 1,38, 95%CI 0.50-3.77). There were differences of CaMKII level on day-1 and day-5 between those who were experienced malignant arrhytmia and those who were not (p-value for differences are 0,03 and 0,01, respectively. In the acute hyperglycemia group, there was difference of CaMKII day-5 levels between positive and negative VLP (p = 0.03). CONCLUSION: it was concluded that the inititial stage of AMI causes more dominant myocardial damage, as compared to metabolic factors. In the next stage of AMI, acute hyperglycemia increases ROS and the activation of ion channel changes described by CaMKII. This change results in electrophysiological remodeling of the heart, as seen in the VLP image on SA-ECG.

Testing the Effectiveness of Implementing a Model of Mental Healthcare Involving Trained Lay Health Workers in Treating Major Mental Disorders Among Youth in a Conflict-Ridden, Low-Middle Income Environment: Part II Results.

OBJECTIVES: To report the outcomes of young people (aged 14-30 years) treated for major mental disorders in a lay health worker (LHW) intervention model in a rural district of conflict-ridden Kashmir, India. METHODS: Over a 12-month follow-up, LHWs collected data on symptoms, functioning, quality of life and disability, and patients' and families' service engagement and satisfaction. RESULTS: Forty trained LHWs (18 males and 22 females) identified 262 individuals who met the criteria for a diagnosis of a major mental disorder, connected them with specialists for treatment initiation (within 14 days), and provided follow-up and support to patients and families. Significantly more patients (14-30 years) were identified during the 14 months of the project than those in all age groups in the preceding 2 years. At 12 months, 205 patients (78%) remained engaged with the service and perceived it as very helpful. Repeated measures ANOVA showed significant improvements in scores on the global assessment of functioning (GAF) scale (F[df, 3.449] = 104.729, p < 0.001) and all 4 domains of the World Health Organization quality of life (WHOQOL) brief version (WHOQOL-BREF) of the survey-Physical F(df, 1.861) = 40.82; Psychological F(df, 1.845) = 55.490; Social F(df, 1.583) = 25.189; Environment F(df, 1.791) = 40.902, all ps < 0.001-and a decrease in disability (F[df, 1.806] = 4.364, p = 0.016). An interaction effect between time and sex was observed for the physical health domain of the WHOQOL-BREF. DISCUSSION AND CONCLUSIONS: Our results show that an LHW-based service model, implemented in a rural setting of a low-to-middle income region plagued by long-term conflict, benefits young people with major mental disorders. We discuss the implications of our findings in the context of similar environments and the challenges encountered.

Evaluating the effects of social networking sites addiction, task distraction, and self-management on nurses' performance.

AIMS: The purpose of this study was to explore the relationship of social networking sites (SNSs) addiction on nurses' performance and how this relationship was mediated by task distraction and moderated by self-management. DESIGN: This cross-sectional study is designed to empirically test the relationship of SNSs addiction, task distraction, and self-management with the nurses' performance. METHODS: Data were collected by conducting an online survey on nurses across the world using a web-based questionnaire developed through 'Google Docs' and distributed through Facebook from 13 August 2018 - 17 November 2018. The Facebook groups were searched using the selected key terms. In total, 45 groups were found to have relevance to this research; therefore, request was made to the admins of these groups to participate in this research and to post a link in their groups. Only 19 group admins responded positively by uploading a link of the research instrument on their respective group pages and 461 members of these groups participated in the research. RESULTS: Results of the data collected from 53 different countries indicated that SNSs addiction results in lowering the nurses' performance. This relationship is further strengthened by task distraction introduced as a mediating variable. The results show that self-management mediates the relationship between SNSs addiction and employees' performance. Moreover, the results of the study confirm that self-management reduces the negative impact of SNSs addiction on nurses' performance. CONCLUSION: Social networking sites (SNSs) addiction and task distraction reduce the nurses' performance, whereas self-management enhances nurses' performance. IMPACT: This study addresses the problem of using SNSs at the workplace and its potential effect on nurses' performance. Results demonstrate that SNSs addiction reduces the performance which is further decreased by task distraction; however, self-management of nurses can enhance the nurses' performance. The research has numerous theoretical and practical implications for hospital administration, doctors, and nurses.