Present Research Research Articles

A deep learning approach for prediction of air quality index in smart city

Industrial developments and consumption of massive amount of fossil fuels, vehicle pollution, and other calamities upsurges the AQI (Air Quality Index) of major cities in a drastic manner. Owing to these factors, it is important to take proactive measures for reducing the air pollution in order to avoid life- threatening consequence. Therefore, prediction of air quality is significant for improving the health of living beings as highly polluted regions have a higher concentration of pollutants mixed in the air, affecting the respiratory system and reducing the lifetime. To control pollution, AQI is used as a measure for estimating the pollutant content in the air. Even though many existing techniques have predicted AQI, enhancement is required in prediction algorithms with minimized loss. To address the challenges in traditional algorithms, the proposed smart cities-based AQI prediction intends to utilize the proposed regression algorithm in the dataset, namely Air- Quality-Data, which collected harmful pollutants on an hourly and daily basis from multiple cities in India between 2015 to 2020. To achieve prediction efficiency with reduced loss, pre-processing of input data is being performed using Deep GAN (Generative Adversarial Network). It performs the imputation of data in place of missing values to improve accurate prediction. Additionally, feature scaling normalizes independent real-data features to a fixed scale. With the processed data, regression is done through modified Stacked Attention GRU with KL divergence, which predicts Ernakulam, Chennai and Ahmedabad cities with higher, medium, and low levels of AQI in India. The performance of the proposed regression algorithm is measured using metrics such as MAE (Mean Absolute Error), MSE (Mean Square Error), R2 (Coefficient of determination), MAPE (Mean Absolute Percentage Error), and RMSE (Root Mean Square Error) and better MAE, MSE, R2, MAPE and RMSE obtained by the model is 0.1013, 0.0134, 0.9479, 0.1152 and 0.1156. Internal assessment and comparative analysis performed with existing regression algorithms exhibit lower loss values obtained from the present research, which determines the efficacy of the proposed model.

'They are conspiring against us': How outgroup conspiracy theories stimulate environmental neglect in intergroup resource dilemmas.

Natural resources are limited, and people often share these limited resources in groups, which creates an intergroup resource dilemma. To understand individuals' sustainable behaviours in intergroup resource dilemmas in the context of group interactions, the present research systematically investigates the effect of outgroup conspiracy theories on sustainable behaviours and preliminarily explores the internal mechanism underlying this effect. First, a survey study (Study 1) relying on real-world intergroup relations first confirmed the negative correlation between outgroup conspiracy beliefs and sustainable intentions in intergroup resource dilemmas. Then, an online experimental study that utilized the real situation of a region in China (Study 2) tested the causal relationship between exposure to an outgroup conspiracy theory and sustainable intentions, as well as showing the mediating role of intergroup threat perception underlying this relationship. Finally, a preregistered experimental laboratory study (Study 3) further verified the causal effect of exposure to an outgroup conspiracy theory on sustainable behaviours, again confirming the mediating role of intergroup threat perception. In general, our research demonstrates that exposure to an outgroup conspiracy theory stimulates individuals' environmental neglect and reduces their sustainable behaviours by increasing their perceptions of intergroup threat when faced with intergroup resource dilemmas.

Pine needle gasification-based electricity production: Understanding the effect of supply chain.

Pine needles (pine tree leaves), found abundantly across continents such as North America, Asia, Europe, South America, Africa, and parts of the Southern Hemisphere, are a significant global concern due to their high susceptibility to catching fire, especially in dry and hot climates. The same issue persists in the Uttarakhand state of India, which boasts ample pine forests, yielding a substantial 1.67 × 109kg of pine needles annually. In the present study, the annual potential emissions from forest fires in Uttarakhand were estimated to be 58.37 × 109kg of CO2 equivalent. Therefore, the present research aims to unlock pine needles' potential via gasification for green electricity and biochar production, offering an alternative to coal-based plants while reducing forest fire frequencies. Nevertheless, obstacles hindering pine needle gasification include an unsteady supply chain, limited collection windows (100days), and plant expenses, including transportation and operational costs. The primary focus of the research is to design and assess the performance of a gasification-based supply chain for pine needles in the Almora District of Uttarakhand. Ten plant capacity scenarios were considered, ranging from 25 to 250kW. The study incorporated critical factors, encompassing diverse losses within the supply chain, selecting potential plant sites, minimizing transportation distance, and evaluating the supply chain's economic and environmental performance. The economic analysis revealed that the 250-kW plant scenario exhibited a minimum discounted payback period (DPP) of 3.93years, alongside an internal rate of return (IRR) of 19% and a net present value (NPV) of 653.32 million INR without government subsidies. With subsidies included, the DPP decreased to 1.30years, improving the IRR to 69% with an NPV of 916.17 million INR. The emission analysis indicated that gasification plant capacity scenarios could potentially reduce 44.63 × 106 to 46.16 × 106kg of CO2 equivalent emissions annually compared to grid electricity while meeting nearly 5.5% of the electricity demand of Almora district. The present study aligns with SDG-7 (Affordable and Clean Energy), SDG-13 (Climate Action), SDG-9 (Industry, Innovation, and Infrastructure), SDG-11 (Sustainable Cities and Communities), SDG-3 (Good Health and Well-being), and SDG-15 (Life on Land).

Transmitter diversity and OAM incorporated 40 Gbps free space optical system

Abstract The present research evaluates optical angular momentum’s (OAM) performance in challenging atmospheric conditions and emphasizes its significance in free space optical (FSO) communication systems. It has been demonstrated that implementing the transmitter diversity (TD) technique effectively suppresses inter-channel interference, improving system performance as a whole. The best option among the studied encodings is found to be the combination of non-return-to-zero (NRZ) and carrier suppressed RZ (CSRZ), which performs better in a variety of weather scenarios and covers a wide FSO range from 72 m to 1450 m. Proposed system offered distance enhancement of 81.25 % under clear sky, 16.66 % under light rain, 10.22 % under moderate rain, 3.4 % under heavy rain, 10 % under light haze, 4 % under moderate haze, 4.44 % under heavy haze, 12.5 % under light fog, 4 % under moderate fog, 7.8 % under heavy fog, 5.8 % under light dust, 7.6 % under medium dust and 12.5 % under heavy dust as compared to existing workIn particular, during bad weather, this research offers significant insights into the design and optimisation of high-speed FSO systems.

Transformation and Degradation of PAH Mixture in Contaminated Sites: Clarifying Their Interactions with Native Soil Organisms

Soil contamination of polycyclic aromatic hydrocarbons (PAHs), especially caused by the mixture of two or more PAHs, raised great environmental concerns. However, research on the migration and transformation processes of PAHs in soils and their interactions with native communities is limited. In this work, soil samples from uncontaminated sites around the industrial parks in Handan, Hengshui, and Shanghai were artificially supplemented with three concentrations of anthracene (Ant), 9-chloroanthracene (9-ClAnt), benzopyrene (BaP), and chrysene (Chr). Ryegrass was planted to investigate the degradation of PAHs and its interaction with native soil organisms in the constructed ryegrass–microbe–soil microcosmic system. The bacterial and fungal communities in soil were affected by PAHs; their species diversity and relative abundance changed after exposure to different concentrations of PAHs, among which Lysobacter, Bacillus, Pseudomonas, and Massilia bacteria were correlated to the degradation of PAHs. On the 56th day, the contents of BaP, Chr, and Ant decreased with the degradation process, while the degradation of 9-ClAnt was limited. Nineteen intermediates, including hydroxylation and carboxylated compounds, were identified. The present research would help clarify the potential interactions between PAHs and native organisms in contaminated sites, providing fundamental information for evaluating the transformation risks of PAHs in the natural environment.

Assessment of using different ozone-friendly R22 alternative refrigerants in residential air conditioners in a high-ambient temperature country

The performance of a vapor compression refrigeration system (VCRS)-based residential air conditioner operating in a high-ambient temperature (HAT) country was investigated using six zero-ODP (ozone depletion potential) refrigerants as replacements to R22. The non-flammable alternative refrigerants considered in the present research were R134a, R404A, R407C, R410A, R448A, and R507A. Using the basic conservation laws, the VCRS was modeled during steady-state operation and solved using engineering equation solver (EES) software. Coefficient of performance (COP), pressures and temperatures at compressor suction and discharge, Global Warming Potential (GWP), critical pressure and temperature, compressor pressure ratio, volumetric cooling capacity (VCC) specific cooling capacity (SCC), and refrigeration effect were utilized as assessment criteria for the alternative refrigerants considered. From these refrigerants, the highest values of suction pressure, discharge temperature, and condenser pressure were attained by R410A. In addition, the discharge temperatures for all refrigerants, except R134a, were all higher than their corresponding critical values, causing a quicker drop in the VCRS’s performance. As an alternative refrigerant, R407C showed the highest SCC of 141.0 kJ/kg followed directly by 139.2 and 138.0 kJ/kg for R410A and R448A, respectively. A reverse trend was found for VCC with respective values of 4722 and 3775 kJ/m3 for R410A and R448A. Lower volume flow rates and smaller-sized compressors are expected for higher VCC refrigerants. The same trend was found for the compressor’s specific work input and condenser’s specific heat transfer with values of (51.14, 46.82, and 45.38 kJ/kg) and (190.3, 187.8, and 183.4 kJ/kg) for R410A, R407C, and R448A, respectively. For applications in HAT countries, larger condenser’s specific heat transfer makes the refrigerant more applicable. Conversely, with respect to COP, refrigerant R134a with a value of 3.075 was the superior alternative followed by R448A and R407C with respective COPs of 3.042 and 3.011. Based on the overall assessment in terms of environmental obligation, COP, compressor input power, refrigerant flow rate required, and all the evaluations made in this research, refrigerant R448A was recommended as the most appropriate substitute to R22 which can effectively be used in residential air conditioners in a HAT country.

Fertility Assessment of Sexed Semen with Synchronized and Spontaneous Estrus in Crossbred Cows

Background: With the commercial introduction of sexed semen, its use has been recommended for insemination at observed estrus, avoiding the use of a fixed-time insemination due to inherent variation in success of timed programmes. The use of the Ovsynch protocol with sexed semen at defined conditions such as normal clinical and reproductive status of lactating cows might result in a pregnancy rate comparable to that achievable at insemination upon detection of spontaneous estrus with sexed semen. Considering this rationale, present research was implemented with the effect of fertility on synchronized and spontaneous estrus with sexed semen. Methods: Post-partum multiparous crossbred cows (n=28) were categorized as a group I (Spontaneous; n=14) and group II (Ovsynch; n=14). The fourteen cows from group I were inseminated with sexed semen at observed estrus after initial treatment with vitamin AD3E and H, urimin and supplemented with chelated mixture and the fourteen cows from the group II were synchronized with Ovsynch synchronization protocol (Inj. Buserline acetate 10 µg I/M) on day 0, (Inj. Cloprostenol sodium 500 µg) on day 7 and (Inj. Buserline acetate 10 µg) I/M on day 9. Thereafter, timed artificial insemination (TAI) was performed 16-20 hours after 2nd dose of GnRH with sexed semen. Result: The percent intense type of intensity recorded numerically higher in induced estrus. The first service conception rate was higher in spontaneous estrus with the overall conception rate 39.28%. Cows with 60-100 days in milk was showed high conception rate with sexed semen, as the parity increases the conception rate decreases with sexed semen The overall proportion of female calves born was 90.90%.

A Social Cognitive Career Theory Study of Agricultural Mechanical Trade Workers

Attracting and retaining skilled workers in agriculture is a global problem. Shortages of essential workers disrupt supplies of goods and services from the point of production on farms through manufacturing, transport, to ultimate consumption. The global pandemic’s effect on food supply was a salutary lesson in the effects of a diminished agricultural workforce. Agricultural mechanics are vital to productivity. The present research used the social cognitive career theory to explore agricultural mechanics’ careers. An exploratory qualitative study deployed interviews to collect data from N = 19 mechanical trade workers. Interviews were centered on participants’ descriptions of their work regarding theoretical constructs including self-efficacy, outcome expectations, satisfaction, dispositional traits, and contextual affordances. Reflective thematic analysis of the data produced concordance with key constructs of the social cognitive career theory sufficient to justify its utility for research with this specific agricultural occupation. This research makes an important contribution to the literature of vocational psychology which can and should contribute to solving the complex problem of supporting a workforce needed for agriculture’s ongoing challenge of feeding and clothing the world’s growing population.

Pulsed radio wave as a sustainable control technology to improve indoor air quality

The need for technologies that can clean the air indoors has grown in pace with the rise in outside pollution. Maintaining interior environment adaptability requires a permanent air purification system that may be utilized to control PM2.5/10. In addition to more traditional methods of air purification, developing advanced control systems that effectively reduce PM levels sustainably is necessary. Pulsed radio waves may expedite the dry deposition of particles having aerodynamic dimensions of less than 30 µm. The charging and coagulation processes are evaluated in an indoor restricted environment. Experimental results reveal a similar pattern to the Monte Carlo models. Distribution of charge due to the nature of the charging environment increases the coagulation rate. Contained experimental testing confirms the filtering system functions as expected, corroborated by the present research. Daily average levels of PM2.5 and PM10 were lowered by between 55 and 41% according to a study done in three indoor settings using the control technology. Research conducted throughout all seasons showed that the approach was consistently efficient in reducing PM2.5/10. It was shown that PM concentrations could be lowered by around 45 percent using pulse radio wave technology, leading to this conclusion. The use of electromagnetic waves (EM waves) to eliminate air pollution has been suggested as a radical new approach. Considering the limitations of already used strategies, this is of paramount significance while considering solutions to control air pollution.

Effects of porous structure and oxygen functionalities on electrochemical synthesis of hydrogen peroxide on ordered mesoporous carbon

Two-electron oxygen reduction reaction (2e− ORR) is a promising alternative to energy-intensive anthraquinone process for hydrogen peroxide (H2O2) production. Metal-free nanocarbon materials have garnered intensive attention as highly prospective electrocatalysts for H2O2 production, and an in-depth understanding of their porous structure and active sites have become a critical scientific challenge. The present research investigates a range of porous carbon catalysts, including non-porous, microporous, and mesoporous structures, to elucidate the impacts of porous structures on 2e− ORR activity. The results highlighted the superiority of mesoporous carbon over other porous materials, demonstrating remarkable H2O2 selectivity. Furthermore, integration of X-ray photoelectron spectroscopy (XPS) data analysis with electrochemical assessment results unravels the moderate surface oxygen content is the key to increase 2e− ORR activity. These results not only highlight the intricate interplay between pore structure and oxygen content in determining catalytic selectivity, but also enable the design of carbon catalysts for specific electrochemical reactions.

Gut microbiota, inflammatory proteins and COVID-19: a Mendelian randomisation study

BackgroundThe human gut microbiota has been identified as a potentially important factor influencing the development of COVID-19. It is believed that the disease primarily affects the organism through inflammatory pathways. With the aim of improving early diagnosis and targeted therapy, it is crucial to identify the specific gut microbiota associated with COVID-19 and to gain a deeper understanding of the underlying processes. The present study sought to investigate the potential causal relationship between the gut microbiota and COVID-19, and to determine the extent to which inflammatory proteins act as mediators in this relationship.MethodsBidirectional mendelian randomization (MR) and Two-step mediated MR analyses were applied to examine causative associations among 196 gut microbiota, 91 inflammatory proteins and COVID-19. The main analytical method used in the MR was the random effects inverse variance weighted (IVW) method. This was complemented by the Bayesian weighted Mendelian randomization (BWMR) method, which was utilized to test the hypothesis of MR. In order for the results to be deemed reliable, statistical significance was required for both methods. Validation was then carried out using an external dataset, and further meta-analyses were conducted to authenticate that the association was reliable.ResultsResults of our research indicated that seven gut microbiota were actively associated to the COVID-19 risk. Five inflammatory proteins were associated with COVID-19 risk, of which three were positively and two were negatively identified with COVID-19. Further validation was carried out using sensitivity analyses. Mediated MR results revealed that CCL2 was a possible mediator of causality of family Bifidobacteriaceae and order Bifidobacteriales with COVID-19, mediating at a ratio of 12.73%.ConclusionSuggesting a genetic causation between specific gut microbiota and COVID-19, our present research emphasizes the underlying mediating role of CCL2, an inflammatory factor, and contributes to a deeper understanding of the mechanism of action underlying COVID-19.

Transient state analysis of rehabilitated RC beams using finite element modelling and prediction using an artificial neural network

The present research develops and verifies a simpler numerical approach for analyzing the thermal transient state of rehabilitated concrete beams reinforced with various types of FRP (fiber-reinforced polymer) subjected to high temperatures and specifically built as under-reinforced concrete beams. This approach offers a straightforward, efficient, and exact instrument for numerical analysis. The proposed analytical technique has been validated by load-displacement curves and cross-section temperature data, indicating its dependability and practicality. Subsequently, the validated approach was used to examine the impact of significant variables on the outcome and restoration of FRP-reinforced concrete beams at high temperatures. The methodology gives the Comparing conventional and CFRP, GFRP, AFRP reinforced beams using beam, truss, and shell elements. Thermal and UDL loads were applied, mesh at 25 mm × 25 mm. Transient analysis contrasts performance via displacement and temperature. The temperature versus displacement curve shows the FRP comparisons. Identifying the critical temperature before failure is crucial, emphasizing the curve’s significance in assessing structural performance and potential failure points. Nodal temperatures ranged 939 °C–963 °C (rehabilitated) versus 958 °C (conventional). 200 °C difference affects thermal boundary conditions for structural analysis and Conventional peaks at 320 °C, while AFRP, GFRP, and CFRP reach 358 °C, 385 °C, and 390 °C respectively. CFRP lasts 2400 min. Neural network models demonstrate effective generalizability, enabling satisfactory predictions of RC beam rehabilitation with CFRP laminates within the study’s parameter range.

Role of institutions in public management: developing case studies for divergent policy systems

Public policy management has an intractable nature, and the institutional complexity of governance further exacerbates its practice. Transnational learning cutting across countries and policy areas can contribute to this policy knowledge in dealing with multifarious issues in public management. Understanding the institutional mix in public management in various contexts enhances the existing comprehension of how the national pattern of public management works differently in different socio-economic, cultural, and political settings. The present research aims to study the institutional framework in the form of state structure (unitary or federal) and the nature of executive government (majoritarian or consensual) in delineating the influence of institutions on public management processes in divergent policy systems. The paper undertakes four in-depth country case studies and the public management reforms as a response to institutional pressure are examined using the 4 M strategy–Maintain (holding on to existing administrative structures and processes), Modernize (keeping service delivery and regulation up to date), Marketize (efficiency and user-responsive public management), and Minimize (reducing state-led regulation). The case studies highlight the differences in the broad direction and energy of implementation that characterize a particular policy style. The results of the study indicate that even though the institutional dimensions are not present in strict polarization, the impact of the institutional mix is evident in the dominant strategies of public management reforms adopted at the national level.

Estimation of Cost and Income of Onion Production: A Case Study of Ballia District of Eastern Uttar Pradesh, India

The system of India’s economy predominantly depends on agriculture. It is contains attractive good qualities of calories. The present research study on entitled “Estimation of Cost and Income of Onion Production: A Case Study of Ballia District of Eastern Uttar Pradesh This research article focused on the following specific objectives are (1) To work out the cropping intensity, costs-return and input-output relationship of onion cultivation in the district and second objectives (2) To find out the constraints in production of onion confronted by Farmers. Multistage stages sampling technique were used for selection of respondent. Primary data was collected by personal interview methods with the use of pre structured and pre listed schedule questionnaire. Finally 100 farmers were selected randomly from four selected villages. The data were related to the Rabi season in the agriculture cropping year 2021-22. Overall average costs of cultivation of respondent were found per hectare to be Rs. 111493.95. The higher costs of cultivation were observed on medium farms to Rs.118430.40 fallowed by small farms and marginal as Rs.109070.72 and Rs.106980.72 per hectare respectively. Per quintal cost of production and ratio of cost of Input –output analysis were calculated cost A1 toC1, C2 and C3 basis.

Diabetes Warriors from Heart Wood: Unveiling Dalbergin and Isoliquiritigenin from Dalbergia latifolia as Potential Antidiabetic Agents in-vitro and in-vivo.

Diabetes mellitus is a serious and complex metabolic disorder characterized by hyperglycemia. In recent years natural products has gained much more interest by researchers as alternative sources for diabetes treatment. Though many potential agents are identified so far but their clinical utility is limited because of their adverse effects. Therefore, there is a keen interest in discovering natural compounds to treat diabetes efficiently with less side effects. Dalbergia latifolia is well explored because of its diverse pharmacological activities including diabetes. Therefore, the present research work aimed to identify and isolate the potential antidiabetic agents from the heart wood of Dalbergia latifolia. We successfully extracted DGN and ISG from the heartwood and evaluated their antidiabetic potential both in-vivo and in-vitro. Alpha amylase activity inhibition of ISG and DGN was found to be 99.05 ± 8.54% (IC50 = 0.6025 µg/mL) and 84.68 ± 5.2% (IC50 = 0.0216 µg/mL) respectively. Glucose uptake assay revealed DGN (158%) promoted maximum uptake than ISG (77%) over control. In vivo anti diabetic activity was evaluated by inducing diabetes in SD rats with the help of HFD and STZ (35 mg/kg body weight). After the continuous administration of DGN (5 mg/kg, 10 mg/kg) and ISG (5 mg/kg, 10 mg/kg) for 14 days, we observed the reduction in the blood glucose levels, body weight, total cholesterol, low density lipoprotein, very low-density lipoprotein, blood urea, serum creatinine, serum glutamate oxaloacetic transaminase, serum glutamate pyruvate transaminase and alkaline phosphatase levels than vehicle group indicates the potency of ISG and DGN against diabetes.

Exploring the Experiences of Health Care Providers and Managers in the COVID-19 Pandemic: A Summative Content Analysiss

Background: The rapid morbidity and high mortality rates associated with COVID-19 have placed significant strain on healthcare systems. Mazandaran, as the third province, has been affected by this infectious pandemic. Objectives: The present study aimed to explore the experiences of healthcare providers and managers during the COVID-19 pandemic. Methods: The present qualitative research study was conducted using the content analysis approach between April 2022 and August 2022 to provide deep insights into the experiences of healthcare providers and managers during the COVID-19 pandemic. The participants included 15 hospital managers, comprising 2 clinical nurse supervisors, 3 matrons, and 10 chief executive officers. The participants were purposefully selected from hospitals affiliated with Mazandaran University of Medical Sciences, Iran. Data were collected through semi-structured individual interviews and the assessment of documents from the vice-chancellors of treatment, food and drug, development, and human resources. Results: The category of "challenges and strategies" emerged during the process of reducing and abstracting the codes. The challenges category evolved from three subcategories, including care and cure challenges, challenges related to providing physical resources and personal protective equipment (PPE), and challenges faced by healthcare providers. Similarly, the strategies category emerged from three subcategories, including strategies to improve patient care and treatment outcomes, strategies for procuring PPE and physical resources, and strategies for human resource management. Conclusions: The results of the present study revealed several challenges and strategies experienced by healthcare managers at Mazandaran University of Medical Sciences and hospital managers. Additionally, based on the existing infrastructure of Mazandaran University and the managerial skills of the managers, successful strategies were employed to tackle these challenges. These experiences can be utilized to inform revisions to health-related policies. Documenting these experiences can aid in better management of future infectious pandemics.

A Dangerous Couple: Sequential Effect of Phosphorus Flame-Retardant and Polyurethane Decrease Locomotor Activity in Planarian Girardia tigrina

Understanding the interplay among organophosphorus flame retardants (OPFRs), microplastics, and freshwater organisms is crucial for unravelling the dynamics within freshwater environments and foreseeing the potential impacts of organic pollutants and plastic contamination. For that purpose, the present research assessed the exposure impact of 10 mg L−1 flame-retardant aluminium diethylphosphinate (ALPI), 10 μg mg−1liver microplastics polyurethane (PU), and the combination of ALPI and PU on the freshwater planarian Girardia tigrina. The exposure to both ALPI and PU revealed a sequential effect, i.e., a decrease in locomotor activity, while oxidative stress biomarkers (total glutathione, catalase, glutathione S-transferase, lipid peroxidation) and metabolic responses (cholinesterase activity, electron transport system, and lactate dehydrogenase) remained unaffected. Despite this fact, it was possible to observe that the range of physiological responses in exposed organisms varied, in particular in the cases of the electron transport system, cholinesterase activity, glutathione S-transferase, catalase, and levels of total glutathione and proteins, showing that the energetic costs for detoxification and antioxidant capacity might be causing a lesser amount of energy allocated for the planarian activity. By examining the physiological, behavioural, and ecological responses of planarians to these pollutants, insights can be gained into broader ecosystem-level effects and inform strategies for mitigating environmental risks associated with OPFRs and microplastic pollution in freshwater environments.

Unfavorable prison social climate links dark tetrad traits with self-reported institutional misconduct

The Dark Tetrad traits (Machiavellianism, narcissism, psychopathy, and sadism) are associated with various adverse and destructive social outcomes. However, the data about the functioning of dark personalities in institutional settings are relatively scarce. In the present research we analyzed the links between Dark Tetrad traits, the prison social climate (measured by prisoners' quality of life) and institutional misconduct (assessed by the number of disciplinary corrections, special measures, solitary confinements, and control measures) in a sample of Serbian convicts (N = 582). Our main hypothesis was that negative prison social climate mediates the link between Dark Tetrad and institutional misconduct. Correlation and regression analysis showed negative association between the Dark Tetrad and prison social climate, together with negative links between social climate and institutional misconduct; associations between Tetrad traits and misconduct were positive. The best predictor of misconduct was the prison social climate but Machiavellianism and sadism independently contributed to the prediction as well. Finally, the structural model showed that negative prison social climate represents a mediator in the links between Machiavellianism, sadism and institutional misconduct. Therefore, our main hypothesis was confirmed, but only for Machiavellianism and sadism as the Dark Tetrad traits. The current data reveal novel socially-aversive outcomes of the Dark Tetrad traits and depict personality and contextual factors that can be practically important for enabling the better functioning of convicts in the prison wards.

Putting the pieces together: comparing the effect of jigsaw cooperative learning and lecture on public health students’ knowledge, performance, and satisfaction

ABSTRACT The present research was conducted to compare the effects of two methods of traditional lecture and Jigsaw Cooperative Learning on the students’ knowledge, performance, and satisfaction. This quasi-experimental study was done on 50 public health students, who had been chosen through available sampling. The performance and satisfaction of students was measured through two researcher-made 80 and 18-item questionnaires after receiving the training. Data were analyzed through SPSS 2423.0 software. The mean score of knowledge in the pre-test stage in the jigsaw and lecture groups was 11.40 and 10.56, respectively, while these values in the post-test stage significantly increased in the jigsaw group compared to their lecture counterpart (16.68 vs. 10.76) (P < 0.001). There was a significant difference between the two groups regarding the score of poster and pamphlet preparation, role-playing, and slide preparation in all subscales (P < 0.001). The mean score of satisfaction was higher in the jigsaw group in all subscales except for motivation (P = 0.17) and problem-solving (P = 0.43), compared to the lecture group (P < 0.001). The results indicated that the JCL method, by engaging students in the teaching-learning process, could cause enhanced knowledge, performance, and satisfaction of the learner, helping them deal with their courses with greater interest. .

Investigation on mechanical and thermal behaviour of graphene bonded carbon/Kevlar hybrid fabric polymer composites

The present research is aimed to understand the influence of graphene-reinforced carbon/Kevlar hybrid fabric epoxy composites. Samples HG0, HG2, HG4, and HG6 are fabricated using four layers of fabric mat and with varying graphene weight percentage as 0, 2, 4, and 6 wt.%, respectively. Mechanical characterizations such as hardness, tensile, and flexural strength were individually assessed. Thermal stability is evaluated through thermos-gravimetric analysis. Composite HG6 with high filler loading showed 71% and 114.4% greater tensile and flexural strength compared to unfilled HG0 specimen. Similarly, HG6 exhibited greater thermal stability. Inclusion of graphene particles in higher concentration improved the interfacial bonding between fibre/matrix/filler system. Fracture surfaces are analysed using scanning electron microscopy to understand the failure mechanisms.