Research on phytotoxicity assessment and photosynthetic characteristics of nicosulfuron residues on Beta vulgaris L.

Nicosulfuron is a common herbicide used to control weeds in maize fields. In northeast China, sugar beet is often grown as a subsequent crop after maize, and its frequently suffers from soil nicosulfuron residue damage, but the related toxicity evaluation and photosynthetic physiological mechanisms are not clear. Therefore, we experimented to evaluate the impacts of nicosulfuron residues on beet growth, photochemical properties, and antioxidant defense system. The results showed that when the nicosulfuron residue content reached 0.3 µg kg-1, it inhibited the growth of sugar beet. When it reached 36 µg kg-1 (GR50), the growth stagnated. Compared to the control group, a nicosulfuron residue of 36 µg kg-1 significantly decreased beet plant height (70.93 %), leaf area (91.85 %), dry weights of shoot (70.34 %) and root (32.70 %). It also notably reduced the potential photochemical activity (Fv/Fo) by 12.41 %, the light energy absorption performance index (PIabs) by 46.09 %, and light energy absorption (ABS/CSm) by 6.56 %. It decreased the capture (TRo/CSm) by 9.30 % and transferred energy (ETo/CSm) by 16.13 % per unit leaf cross-section while increasing the energy flux of heat dissipation (DIo/CSm) by 22.85 %. This ultimately impaired the photochemical capabilities of PSI and PSII, leading to a reduction in photosynthetic performance. Furthermore, nicosulfuron increased malondialdehyde (MDA) content while decreasing superoxide dismutase (SOD) and catalase (CAT) activities. In conclusion, this research clarified the toxicity risk level, lethal dose, and harm mechanism of the herbicide nicosulfuron residue. It provides a theoretical foundation for the rational use of herbicides in agricultural production and sugar beet planting management.

How does equity restriction affect innovation quality? Evidence from listed manufacturing companies in China.

Improving the innovation quality of manufacturing companies has currently received increasing attention in the transformation from "Made in China" to "Created in China". Equity restriction is now one of the most talked about issues in China's corporate governance structures, but we have a limited understanding of the impact of equity restriction on innovation quality. This paper empirically analyzes the relationship and intrinsic mechanism between equity restriction and innovation quality using all A-share listed manufacturing companies in China from 2007 to 2021 as the research sample. First, the Tobit regression model is used to analyze the impact of equity restriction on innovation quality, and the Heckman two-stage model is used for the endogenous test. Then, the three-step regression model with mediating effects is used to validate the intrinsic mechanism of equity restriction to promote innovation quality from two paths, namely equity incentives and R&D investment. The research results show that equity restriction has a significant positive impact on innovation quality; equity incentives and R&D investment play a mediating role between equity restriction and innovation quality. This paper enriches the research on the influencing factors of innovation quality and provides a theoretical basis based on equity restriction for the transformation of manufacturing towards high-quality innovation, and explores the intrinsic mechanisms by which equity restriction affects innovation quality.

Treatment of Hidradenitis Suppurativa Evaluation Study: the THESEUS prospective cohort study.

Background: Hidradenitis suppurativa is a chronic inflammatory skin disease characterised by recurrent inflammatory lesions and skin tunnels in flexural sites such as the axilla. Deroofing of skin tunnels and laser treatment are standard hidradenitis suppurativa interventions in some countries but not yet introduced in the United Kingdom. Objective: To understand current hidradenitis suppurativa management pathways and what influences treatment choices to inform the design of future randomised controlled trials. Design: Prospective 12-month observational cohort study, including five treatment options, with nested qualitative interviews and an end-of-study consensus workshop. Setting: Ten United Kingdom hospitals with recruitment led by dermatology and plastic surgery departments. Participants: Adults with active hidradenitis suppurativa of any severity not adequately controlled by current treatment. Interventions: Oral doxycycline 200 mg once daily; oral clindamycin and rifampicin, both 300 mg twice daily for 10 weeks initially; laser treatment targeting the hair follicle (neodymium-doped yttrium aluminium garnet or alexandrite); deroofing; and conventional surgery. Main outcome measures: Primary outcome was the proportion of participants who are eligible, and hypothetically willing, to use the different treatment options. Secondary outcomes included proportion of participants choosing each of the study interventions, with reasons for their choices; proportion of participants who switched treatments; treatment fidelity; loss to follow-up rates over 12 months; and efficacy outcome estimates to inform outcome measure instrument responsiveness. Results: Between February 2020 and July 2021, 151 participants were recruited, with two pauses due to the COVID-19 pandemic. Follow-up rates were 89% and 83% after 3 and 6 months, decreasing to 70% and 44% at 9 and 12 months, respectively, because pandemic recruitment delays prevented all participants reaching their final review. Baseline demographics included an average age of 36 years, 81% female, 20% black, Asian or Caribbean, 64% current or ex-smokers and 86% with a raised body mass index. Some 69% had moderate disease, 19% severe disease and 13% mild disease. Regarding the study's primary outcome, laser treatment was the intervention with the highest proportion (69%) of participants who were eligible and hypothetically willing to receive treatment, followed by deroofing (58%), conventional surgery (54%), the combination of oral clindamycin and rifampicin (44%) and doxycycline (37%). Considering participant willingness in isolation, laser was ranked first choice by the greatest proportion (41%) of participants. The cohort study and qualitative study demonstrated that participant willingness to receive treatment was strongly influenced by their clinician. Fidelity to oral doxycycline was only 52% after 3 months due to lack of effectiveness, participant preference and adverse effects. Delays receiving procedural interventions were common, with only 43% and 26% of participants commencing laser therapy and deroofing, respectively, after 3 months. Treatment switching was uncommon and there were no serious adverse events. Daily pain score text messages were initiated in 110 participants. Daily responses reduced over time with greatest concordance during the first 14 days. Limitations: It was not possible to characterise conventional surgery due to a low number of participants. Conclusion: The Treatment of Hidradenitis Suppurativa Evaluation Study established deroofing and laser treatment for hidradenitis suppurativa in the United Kingdom and developed a network of 10 sites for subsequent hidradenitis suppurativa randomised controlled trials. Future work: The consensus workshop prioritised laser treatment and deroofing as interventions for future randomised controlled trials, in some cases combined with drug treatment. Trial registration: This trial is registered as ISRCTN69985145. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 12/35/64) and is published in full in Health Technology Assessment; Vol. 27, No. 30. See the NIHR Funding and Awards website for further award information.

The Treatment of Hidradenitis Suppurativa Evaluation Study introduced deroofing of skin tunnels and laser treatment for hidradenitis suppurativa and found that these are preferred interventions for future trials compared with oral antibiotics or conventional surgery.

Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review.

Digital health is a field that aims to improve patient care through the use of technology, such as telemedicine, mobile health, electronic health records, and artificial intelligence. The aim of this review is to examine the challenges and potential solutions for the implementation and evaluation of digital health technologies. Digital tools are used across the world in different settings. In Australia, the Digital Health Translation and Implementation Program (DHTI) emphasizes the importance of involving stakeholders and addressing infrastructure and training issues for healthcare workers. The WHO's Global Task Force on Digital Health for TB aims to address tuberculosis through digital health innovations. Digital tools are also used in mental health care, but their effectiveness must be evaluated during development. Oncology supportive care uses digital tools for cancer patient intervention and surveillance, but evaluating their effectiveness can be challenging. In the COVID and post-COVID era, digital health solutions must be evaluated based on their technological maturity and size of deployment, as well as the quality of data they provide. To safely and effectively use digital healthcare technology, it is essential to prioritize evaluation using complex systems and evidence-based medical frameworks. To address the challenges of digital health implementation, it is important to prioritize ethical research addressing issues of user consent and addressing socioeconomic disparities in access and effectiveness. It is also important to consider the impact of digital health on health outcomes and the cost-effectiveness of service delivery.

Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses.

In the past two decades, there have been three coronavirus outbreaks that have caused significant economic and health crises. Biologists predict that more coronaviruses may emerge in the near future. Therefore, it is crucial to develop preventive vaccines that can effectively combat multiple coronaviruses. In this study, we employed computational approaches to analyze genetically related coronaviruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, focusing on the spike glycoprotein as a potential vaccine candidate. By predicting common epitopes, we identified the top epitopes and combined them to create a multi-epitope candidate vaccine. The overall quality of the candidate vaccine was validated through in silico analyses, confirming its antigenicity, immunogenicity, and stability. In silico docking and simulation studies suggested a stable interaction between the multi-epitope candidate vaccine and human toll-like receptor 2 (TLR2). In silico codon optimization and cloning were used to further explore the successful expression of the designed candidate vaccine in a prokaryotic expression system. Based on computational analysis, the designed candidate vaccine was found to be stable and non-allergenic in the human body. The efficiency of the multi-epitope vaccine in triggering effective cellular and humoral immune responses was assessed through immune stimulation, demonstrating that the designed candidate vaccine can elicit specific immune responses against multiple coronaviruses. Therefore, it holds promise as a potential candidate vaccine against existing and future coronaviruses.

Spectroscopic fingerprinting, pollution characterization, and health risk assessment of potentially toxic metals from urban particulate matter.

The unprecedented stride of urbanization and industrialization has given rise to anthropogenic input of tiny particulates into the air. Urban particulate matter (PM) armored with potentially toxic metals (PTMs) could be lethal to the environment and human health. Therefore, the present study was planned to investigate the spectroscopic fingerprinting, pollution status and health risk of PM-associated PTMs collected from ten functional areas of Lahore, Pakistan. The diverged results of studied qualitative and quantitative analyses showed distinct compositional and pollution characteristics of PTMs in urban PM with respect to selected functional areas. The XRD results evident the fractional presence of metal-containing minerals, i.e., pyrite (FeS2), calcite (CaCO3), zinc sulfate (ZnSO4), and chalcostibite (CuSbS2). Several chemical species of Zn, Pb, and As were found in PM of various functional areas. However, morphologies of PM showed anthropogenic influence with slight quantitative support of PTMs presence. The cumulative representation of PTMs pollution of all selected areas depicted that Cd was heavily polluted (Igeo=3.21) while Cr (Igeo=1.82) and Ni (Igeo=2.11) were moderately polluted PTMs. The industrial area having high pollution status of Cd (Igeo=5.54 and EF=18.07), Cu (Igeo=6.4 and EF=32.61), Cr (Igeo=4.03 and EF=6.53), Ni (Igeo=5.7 and EF=20.17), and Zn (Igeo=4.87 and EF=11.27) was prominent among other studied areas. The PTMs were likely to pose a high non-cancerous risk in IndAr (HI = 7.48E+00) and HTV (HI = 1.22E +00) areas predominantly due to Zn with HQ > 1. However, Cr was prominent to cause cancerous risks with values beyond the tolerable range (1.00E-04 to 1.00E-06).

Unstable fipronil resistance associated with fitness costs in fipronil-selected Aedes aegypti L.

Mosquitoes are very serious household and medically important pests transmitting many diseases of humans and animals. Among mosquitoes, Aedes aegypti L., is an active transmitter of dengue and lumpy skin disease virus, horrible and terrifying diseases, causing human and animal death throughout the world. Fipronil is a new chemistry insecticide used to control agriculture and medically important insect pests. It affects the GABA receptors in the nervous system and consequently causes the death of the pests. A laboratory experiment was conducted to investigate the onset of fipronil resistance and associated fitness costs in Ae. Aegypti. Moreover, the stability of fipronil resistance was evaluated after five generations of rearing without selection pressure. The population of Ae. Aegypti was exposed continuously for 12 generations to fipronil under controlled conditions. The fipronil selected population (Fipro-Sel Pop) had a 317 and 115.7-fold level of resistance compared to a susceptible and field population, respectively. Relative fitness for Fipro-Sel Pop was 0.57, with a significant disadvantage in larval duration, developmental time, percent hatchability, intrinsic rate of natural increase (rm), net reproductive rate (Ro), number of larvae in the next generation, and mean relative growth rate (MRGR) when compared to the Unselected population (Un-Sel Pop). However, the relative fitness value of Cross1 (Un-Sel Pop ♂ × Fipro-Sel Pop ♀) and Cross2 (Fipro-Sel Pop ♂ × Un-Sel Pop ♀) was 1.69 and 1.12, respectively. It is evident from the results that fipronil resistance comes with a fitness disadvantage, and it is unstable in the Fipro-Sel Pop of Ae. Aegypti. Therefore, the alternation of fipronil with other chemicals or suspension of fipronil usage for some time could improve its efficacy by delaying resistance development in Ae. Aegypti. Further research should be performed to investigate the field applicability of our findings.

Effectiveness and cost-effectiveness of a personalised self-management intervention for living with long COVID: protocol for the LISTEN randomised controlled trial.

BACKGROUND: Individuals living with long COVID experience multiple, interacting and fluctuating symptoms which can have a dramatic impact on daily living. The aim of the Long Covid Personalised Self-managemenT support EvaluatioN (LISTEN) trial is to evaluate effects of the LISTEN co-designed self-management support intervention for non-hospitalised people living with long COVID on participation in routine activities, social participation, emotional well-being, quality of life, fatigue, and self-efficacy. Cost-effectiveness will also be evaluated, and a detailed process evaluation carried out to understand how LISTEN is implemented. METHODS: The study is a pragmatic randomised effectiveness and cost-effectiveness trial in which a total of 558 non-hospitalised people with long COVID will be randomised to either the LISTEN intervention or usual care. Recruitment strategies have been developed with input from the LISTEN Patient and Public Involvement and Engagement (PPIE) advisory group and a social enterprise, Diversity and Ability, to ensure inclusivity. Eligible participants can self-refer into the trial via a website or be referred by long COVID services. All participants complete a range of self-reported outcome measures, online, at baseline, 6 weeks, and 3 months post randomisation (the trial primary end point). Those randomised to the LISTEN intervention are offered up to six one-to-one sessions with LISTEN-trained intervention practitioners and given a co-designed digital resource and paper-based book. A detailed process evaluation will be conducted alongside the trial to inform implementation approaches should the LISTEN intervention be found effective and cost-effective. DISCUSSION: The LISTEN trial is evaluating a co-designed, personalised self-management support intervention (the LISTEN intervention) for non-hospitalised people living with long COVID. The design has incorporated extensive strategies to minimise participant burden and maximise access. Whilst the duration of follow-up is limited, all participants are approached to consent for long-term follow-up (subject to additional funding being secured). TRIAL REGISTRATION: LISTEN ISRCTN36407216. Registered on 27/01/2022.

An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients.

BACKGROUND: During the COVID-19 pandemic, there is a global demand for intelligent health surveillance and diagnosis systems for patients with critical conditions, particularly those with severe heart diseases. Sophisticated measurement tools are used in hospitals worldwide to identify serious heart conditions. However, these tools need the face-to-face involvement of healthcare experts to identify cardiac problems. OBJECTIVE: To design and implement an intelligent health monitoring and diagnosis system for critical cardiac arrhythmia COVID-19 patients. METHODOLOGY: We use artificial intelligence tools divided into two parts: (i) IoT-based health monitoring; and (ii) fuzzy logic-based medical diagnosis. The intelligent diagnosis of heart conditions and IoT-based health surveillance by doctors is offered to critical COVID-19 patients or isolated in remote locations. Sensors, cloud storage, as well as a global system for mobile texts and emails for communication with doctors in case of emergency are employed in our proposal. RESULTS: Our implemented system favors remote areas and isolated critical patients. This system utilizes an intelligent algorithm that employs an ECG signal pre-processed by moving through six digital filters. Then, based on the processed results, features are computed and assessed. The intelligent fuzzy system can make an autonomous diagnosis and has enough information to avoid human intervention. The algorithm is trained using ECG data from the MIT-BIH database and achieves high accuracy. In real-time validation, the fuzzy algorithm obtained almost 100% accuracy for all experiments. CONCLUSION: Our intelligent system can be helpful in many situations, but it is particularly beneficial for isolated COVID-19 patients who have critical heart arrhythmia and must receive intensive care.

In Vivo and In Silico Assessment of the Cardioprotective Effect of Thymus linearis Extract against Ischemic Myocardial Injury.

Myocardial infarction is irreversible cardiac tissue necrosis due to the blockage of one of the arteries. It leads to an insufficient supply of oxygen and nutrients, creating muscular damage in the affected regions. In the present study, aqueous methanolic extract of Thymus linearis was prepared to evaluate its activity against ischemic stress due to free radical production. GC-MS analysis was performed to evaluate the phytochemicals present in the plant extract. A chemical database of 30 compounds was virtually screened against NF-κB, COX2, and MCL, where γ-cadinene, ß-bisabolene, and ß-caryophyllene were found to be the best interacting ligands. To systematically assess cardioprotective activity against ischemia, isoproterenol and doxorubicin were used to induce cardiotoxicity in rats. The prepared extract of T. linearis (100 mg/kg) was given daily to animals for 21 days before injecting isoproterenol (85 mg/kg of animal weight) subcutaneously in two doses on the 20th and 21st days. In the case of doxorubicin, cardiotoxicity was induced in rats by a single injection (15 mg/kg) on the seventh day, and the extract was given to animals for 10 consecutive days. Animals' blood samples were used to monitor cardiac, liver, and other marker enzymes, including LDH, CPK, and AST. Superoxide dismutase (SOD), catalase (CAT), and malondialdehyde (MDA) were also assayed in blood plasma to determine the degree of oxidative stress. H&E staining was performed to evaluate cardioprotection by plant extract, showing significant preventive effects in reducing cardiac injury induced by isoproterenol and doxorubicin.

Real-time artificial intelligence based health monitoring, diagnosing and environmental control system for COVID-19 patients.

By upgrading medical facilities with internet of things (IoT), early researchers have produced positive results. Isolated COVID-19 patients in remote areas, where patients are not able to approach a doctor for the detection of routine parameters, are now getting feasible. The doctors and families will be able to track the patient's health outside of the hospital utilizing sensors, cloud storage, data transmission, and IoT mobile applications. The main purpose of the proposed research-based project is to develop a remote health surveillance system utilizing local sensors. The proposed system also provides GSM messages, live location, and send email to the doctor during emergency conditions. Based on artificial intelligence (AI), a feedback action is taken in case of the absence of a doctor, where an automatic injection system injects the dose into the patient's body during an emergency. The significant parameters catering to our project are limited to ECG monitoring, SpO2 level detection, body temperature, and pulse rate measurement. Some parameters will be remotely shown to the doctor via the Blynk application in case of any abrupt change in the parameters. If the doctor is not available, the IoT system will send the location to the emergency team and relatives. In severe conditions, an AI-based system will analyze the parameters and injects the dose.

Optimization-Based Economical Flexural Design of Singly Reinforced Concrete Beams: A Parametric Study.

In the past, many studies have been conducted on the optimization of reinforced concrete (RC) structures. These studies have demonstrated the effectiveness of different optimization techniques to obtain an economical design. However, the use of optimization techniques to an obtain economical design is not so practical due to the difficulty in applying most of the optimization techniques to achieve an optimal solution. The RC beam is one of the most common structural elements encountered by a practising design engineer. The current study is designed to highlight the potential of the Solver tool in MS Excel as an easy-to-use option for optimizing the design of simply supported RC beams. A user-friendly interface was developed in a spreadsheet in which beam design parameters from a typical design can be entered and an economical design can be obtained using the Evolutionary Algorithm available in the MS Excel Solver tool. To demonstrate the effectiveness of the developed optimization tool, three examples obtained from the literature have been optimized. The results showed that up to 24% economical solution can be obtained by keeping the same material strengths that were assumed in the original design. However, if material strength is also considered as a variable, up to 44% of the economical solution can be obtained. A parametric study was also conducted to investigate the effect of different design variables on the economical design of simply supported RC beams and to derive useful rules of thumb for their design and proportioning, with the objective of cost minimization. The results of the parametric study suggest that the grade of the reinforcing steel is one of the most influential factors that affect the cost of simply supported RC beams. Practicing engineers can use the trends derived from this research to further refine their optimal designs.

Assessment of Contributing Factors and Treatment Practices for Therapeutic Efficacy and Drug-Related Problems in Suicidal Psychotic Patients.

Suicide, a deliberate act of self-harm with the intention to die, is an emerging health concern but, unfortunately, the most under-researched subject in Pakistan, especially in Khyber Pukhtunkhwa (KPK). In this study, we aimed to identify risk factors that can be associated with suicidal behavior (SB) and to evaluate the prevailing treatment practices for therapeutic efficacy and drug-related problems (DRPs) in psychotic patients among the local population of KPK. A prospective, multicenter study was conducted for suicidal cases admitted to the study centers by randomized sampling. Socio-demographics and data on suicidal behavior were assessed using the Columbia-Suicide Severity Rating Scale (C-SSRS), socioeconomic condition by Kuppuswamy socioeconomic scale (KSES) and treatment adherence by Morisky Medication-Taking Adherence Scale (MMAS-4). Drug-related problems and the therapeutic efficacy of prevailing treatment practices were assessed at baseline and follow-up after 3 months of treatment provided. Regarding suicidality (N = 128), females reported more ideations (63.1%), while males witnessed more suicidal behavior (66.6%, p < 0.001). Suicide attempters were mostly married (55.6%, p < 0.002); highly educated (53.9%, p = 0.004); dissatisfied with their life and had a previous history (p < 0.5) of suicide attempt (SA) (20.6%), self-injurious behavior (SIB) (39.7%) and interrupted (IA) or aborted attempts (AA) (22.2%). A greater improvement was observed in patients receiving combination therapy (p = 0.001) than pharmacotherapy (p = 0.006) or psychotherapy (p = 0.183), alone. DRPs were also detected, including drug-selection problems (17.88%), dose-related problems (20.64%), potential drug−drug interactions (24.31%), adverse drug reactions (11.46%) and other problems like inadequate education and counseling (21.55%). Furthermore, it was also found that psychotic patients with suicidal ideations (SI) were significantly (p = 0.01) more adherent to the treatment as compared to those with suicidal attempts. We concluded that suicide attempters differed significantly from patients with suicidal ideations in psychotic patients and presented with peculiar characteristics regarding socio-demographic factors. A combination of therapies and adherence to the treatment provided better outcomes, and targeted interventions are warranted to address drug-related problems.

Social, economic and environmental implications of the COVID-19 pandemic.

The COVID-19 pandemic led to global lockdowns that severely curtailed economic activity. In this study, we set out to examine the social, economic, and environmental ramifications of the COVID-19 pandemic. This is a rare project that will have far-reaching consequences for the field. There are five sets of issues: short-term effects on oil and economic and agricultural policies, including regulations and COP26; long-term implications of monetary and fiscal intervention and investment in green agreements on future generations; prospects for further de-globalization and its effect on climate change and nature; and intergenerational environmental consequences, including debt and polling.

Occurrence and Health Risk Assessment of Aflatoxins through Intake of Eastern Herbal Medicines Collected from Four Districts of Southern Punjab-Pakistan.

Eastern herbal medicines (HMs) are plant-derived naturally occurring substances with minimum or no industrial processing that have long been used in traditional medicine. Aflatoxins are frequent contaminants of plants. Therefore, these mycotoxins are likely to contaminate HMs and pose a health risk to individuals using them on a regular basis as preventive or curative treatments of various diseases. The present study aimed to determine aflatoxin levels in the most popular Pakistani HM formulations and to assess the health risk associated with the intake of aflatoxins. A total of 400 samples of HM formulations collected from four districts of Punjab were analyzed for the quantification of aflatoxins, out of which 52.5% were found to be contaminated. The average daily dose (ADD) of AFB1 and AFs through the intake of HM formulations ranged between 0.00483 and 0.118 ng/kg bw/day and between 0.00579 and 1.714 ng/kg bw/day, respectively. The margin of exposure (MOE) and population cancer risk ranged from 99.49 to 29378.8 and from 0.00011 to 0.0325 liver cancer cases/105 individuals/year (0.0075-2.455 liver cancer cases/105 individuals/75 years), respectively. Despite the low exposure to aflatoxins from HM formulations in the four studied Punjab (Pakistan) districts, the frequent contamination of the analyzed samples suggests that official measures should be considered to manage the associated risk.

On the Factors Influencing Green Purchase Intention: A Meta-Analysis Approach.

This study systematically analyzes the factors that affect consumers' green purchase intention. Through a comprehensive literature review, the influencing factors of consumers' green purchase intention are organized into three categories: cognitive factors, consumer individual characteristics, and social factors. Next, a meta-analysis of 54 empirical papers was conducted using Comprehensive Meta-Analysis 3.0 software to quantitatively assess these relationships. The results revealed that green perceived value, attitude, and green trust have a significant positive influence on green purchase intention. Perceived behavior control, perceived consumer effectiveness, and subjective norm also has a strong positive impact on green purchase intention. Collectivism has a positive effect on green purchase intention. Green perceived risk has a significant negative impact on green purchase intention. The study's findings provide references for enterprises engaged in green product diffusion and organizations responsible for environmental protection.

Assessment of Prescriptions in the Endocrinology Department of a Tertiary Care Hospital in Pakistan Using World Health Organization Guidelines.

BACKGROUND: It is essential to follow World Health Organization drug prescribing indicators to ensure rational prescribing in every health care setting. OBJECTIVE: To evaluate the prescriptions in the endocrinology department, according to the World Health Organization (WHO), recommended Ghana guidelines for diabetes management and rational therapy. METHODS: Concurrent and retrospective study design was used. The prescriptions of 100 diabetes patients were assessed for the type of medicine, dosage form, number of drugs, diabetes type, and deviation from standard guidelines. RESULTS: In a total of 100 prescriptions, the pattern was reported as injections (31%), antibiotics (18%), and metformin (31.1%). Half of the prescriptions were according to WHO guidelines. The number of drugs per prescription was reported at 5.2. A 70% rational approach was followed in prescribing. 81% of drugs were prescribed from the Essential Drug List (EDL) of the WHO. However, the National Essential Drug List (NEDL) was followed by 27%. The percentage of drugs on generic names was 0.7%. Eighty-four patients showed net improvement in health; 16 patients showed higher glycemic range at the time of discharge. CONCLUSION: The conclusion of the present study indicates that WHO Ghana guidelines were not followed up to the mark to improve the overall health status of diabetic patients and rational prescribing.

Effectiveness of positive psychotherapy for young adults with depressive Symptoms.

OBJECTIVE: To analyse the level of happiness and depressive symptoms before and after positive psychotherapy.. METHODS: The experimental study was conducted from February 2018to March 2018 in Shahpur Sadar town of Sargodha district in the Punjab province of Pakistan at Govt. College, and comprised female young adults with depressive symptoms. The participants were subjected to 8 sessions (one baseline and seven other) of group positive psychotherapy. On the basis of repeated measure design, data was collected using the depression subscale of Depression Anxiety Stress Scale-21, Positive Psychotherapy Inventory, and Values in Action Inventory before, during and after therapy administration. SPSS 23 was used for data analysis. RESULTS: Of the 250 subjects assessed, 30(12%) aged 18-20 years were selected for therapy sessions as they had some level of depression; 15(50%) mild and 15(50%) moderate. Mean happiness level increased with each session from baseline value of 20.63±4.61 to post-therapy 50.67±4.63 (p<0.05). Depression level decreased from baseline value of 15.47±3.42 with each session to post-therapy 4.53±1.10 (p<0.05). CONCLUSIONS: Positive psychotherapy sessions were found to be effective in decreasing depression among female young adults.

Assessment of metals induced histopathological and gene expression changes in different organs of non-diabetic and diabetic rats.

Diabetes is a complex metabolic disorder and different environmental toxicants including heavy metals have been involved in diabetes induction. Therefore, assessment of the environmental risk factors and heavy metals induced toxicity have become critical for reducing the consequences of metals pollutants. Previously, we reported heavy metals induced nephrotoxicity in non-diabetic and diabetic rats. Here, we extended our analysis by examining the heavy metals induced organs (heart, kidney, liver, pancreas, and spleen) damage in diabetic and non-diabetic Wistar rats using histopathology and quantitative real-time PCR (qRT-PCR). Following the generation of the diabetic rat model, the animals were exposed to heavy metals including lead (Pb), arsenic (As), manganese (Mn) and cadmium (Cd). Both non-diabetic and diabetic rats were exposed to heavy metals for 30 days and subsequently, the heart, kidney, liver, pancreas and spleen tissues were examined. Heavy metal treatment resulted in irregularly arranged myofibrils and vacuolization in the heart tissue of metal treated groups as evident from hematoxylin and eosin (H & E) staining. The kidney tissue of rats treated with heavy metals showed tubular degeneration, fibrosis, hemorrhage, and vacuolation. The liver of the heavy metals treated rats exhibited cellular degeneration and necrosis. The pancreatic tissue of streptozotocin injected untreated and metal treated rats revealed severe degeneration, necrosis, degranulation, shrinkage, and depression in the islets of Langerhans. Increased red pulp area and congestion were observed in the spleen of the metal mixture treated non-diabetic and diabetic rats. In line with the histological data, the qRT-PCR analysis showed downregulated expression of Bcl2 and upregulation of Caspase-3 in non-diabetic and diabetic metal treated rats as compared to the non-diabetic untreated rats. In conclusion, the present study revealed, diabetic rats are more prone to metal alone as well as metal mixture induced organ damage as compared to non-diabetic rats.

Prevalence and Exposure Assessment of Aflatoxins Through Black Tea Consumption in the Multan City of Pakistan and the Impact of Tea Making Process on Aflatoxins.

Aflatoxins are the highly toxic secondary metabolites of certain fungi, being mainly produced by Aspergillus flavus and Aspergillus parasiticus. Aflatoxins are classified as group 1 category carcinogens by the International Agency for Research on Cancer (IARC). A large number of food commodities are reported to be contaminated with aflatoxins. Tea is the world's second most consumed beverage and the consumption of tea is increasing day by day. Besides being a source of several health promoting substances, tea leaves are also reported to be contaminated with aflatoxins. However, not a single study is reported from Pakistan regarding the level of aflatoxins in commercially available black tea samples. The current study aimed to quantify the level of aflatoxins in commercially available branded and non-branded black tea samples. The estimated daily intake (EDI) of aflatoxins through branded and non-branded black tea consumption and the health risk assessment based on margin of exposure (MOE) approach was assessed. Furthermore, the impact of local tea making processes on the concentration of aflatoxins in tea beverage (filtrate) was also investigated.