Effect of NPK, organic manure and their combination on growth, yield and nutrient uptake of chilli (Capsicum Annum L.)

A field experiment was conducted at the research area of department of horticulture, Institute of tropical agriculture and forestry, Hainan University, Haikou, Hainan, China, during the winter season 2016-2017. The research was arranged in randomized complete block design with nine treatments of organic manures in combination with NPK fertilizers having three replications. The highest yield was recorded with T9 treatment (N: P: K 100:50:50+FYM@8 ton per hectare). Plant height at harvesting, number of branches plant-1, number of fruits plant-1, fruit width, fruit length and fruit weight increased significantly with T9 treatment (N: P: K 100:50:50+FYM@8 ton per hectare). Similarly application of NPK100%+FYM@8 ton per hectare increased oleoresin yield and ascorbic acid content. Application of FYM@8 ton per hectare in combination with NPK100% increased the uptake of nutrients (N, P, K, Ca, S, and Fe) as compared to control. Similar results were also found in other organic manures along with inorganic fertilizer. The highest net return (Rs. 30183 per hectare) was achieved with the application of NPK100%+FYM@8 ton per hectare followed by NPK100%+ PM@6 ton per hectare, NPK100%+VC@10 ton per hectare and NPK100%+C@7 ton per hectar

Analysis of genetic diversity in chickpea (Cicer arietinum L.) cultivars using random amplified polymorphic DNA (RAPD) markers

Genetic diversity of seven chickpea (Cicer arietinum L.) cultivars of Pakistani origin was analyzed by using random amplified polymorphic DNA (RAPD) markers, an extremely effective method to determine the variations among the chickpea cultivars. Polymerase chain reaction (PCR) conditions were optimized for RAPD and the conditions which gave the optimized results were selected for further amplifications. Using nine random decamers for seven genotypes of chickpea, 63 bands were amplified. Out of 63 bands, 50 were polymorphic in all the seven chickpea cultivars. The numbers of RAPD fragments generated per primer ranged from 3 to 11. However, majority of the primers amplified 7 to 11 fragments. The Jaccard’s similarity coefficients ranged from 0.333 to 0.651. Maximum similarity (65.1%) was observed between PK G-3 and PK G-4 and the lowest similarity (33.3%) was observed between PK G-3 and PK G-7. A dendrogram was constructed by using the unweighted pair group arithmetic mean arrangement (UPGMA) that was based on similarity coefficients. Seven chickpea cultivars were clustered in two distinct groups of which two cultivars (PK G-6 and PK G-7) stood separately in the dendrogram. The results from this study may be useful to maximize the selection of diverse parent cultivars and to broaden the germplasm base in the future for chickpea breeding programs. The information generated from this study can also be used in identifying efficient strategies for the sustainable management of the genetic resources of chickpea crop.Keywords: Random amplified polymorphic DNA (RAPD), polymerase chain reaction (PCR), chickpea cultivars, genetic diversit

Synthesis and Characterization of Azo-Guanidine Based Alcoholic Media Naked Eye DNA Sensor

DNA sensing always has an open meadow of curiosity for biotechnologists and other researchers. Recently, in this field, we have introduced an emerging class of molecules containing azo and guanidine functionalities. In this study, we have synthesized three new compounds (UA1, UA6 and UA7) for potential application in DNA sensing in alcoholic medium. The synthesized materials were characterized by elemental analysis, FTIR, UV-visible, 1H NMR and 13C NMR spectroscopies. Their DNA sensing potential were investigated by UV-visible spectroscopy. The insight of interaction with DNA was further investigated by electrochemical (cyclic voltammetry) and hydrodynamic (viscosity) studies. The results showed that compounds have moderate DNA binding properties, with the binding constants range being 7.2 x 103, 2.4 x 103 and 0.2 x 103 M-1, for UA1, UA6 and UA7, respectively. Upon binding with DNA, there was a change in colour (a blue shift in the lambda(max) value) which was observable with a naked eye. These results indicated the potential of synthesized compounds as DNA sensors with detection limit 1.8, 5.8 and 4.0 ng μl-1 for UA1, UA6 and UA7, respectively

Cyber Threat Predictive Analytics for Improving Cyber Supply Chain Security

Cyber Supply Chain (CSC) system is complex which involves different sub-systems performing various tasks. Security in supply chain is challenging due to the inherent vulnerabilities and threats from any part of the system which can be exploited at any point within the supply chain. This can cause a severe disruption on the overall business continuity. Therefore, it is paramount important to understand and predicate the threats so that organization can undertake necessary control measures for the supply chain security. Cyber Threat Intelligence (CTI) provides an intelligence analysis to discover unknown to known threats using various properties including threat actor skill and motivation, Tactics, Techniques, and Procedure (TT and P), and Indicator of Compromise (IoC). This paper aims to analyse and predicate threats to improve cyber supply chain security. We have applied Cyber Threat Intelligence (CTI) with Machine Learning (ML) techniques to analyse and predict the threats based on the CTI properties. That allows to identify the inherent CSC vulnerabilities so that appropriate control actions can be undertaken for the overall cybersecurity improvement. To demonstrate the applicability of our approach, CTI data is gathered and a number of ML algorithms, i.e., Logistic Regression (LG), Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT), are used to develop predictive analytics using the Microsoft Malware Prediction dataset. The experiment considers attack and TTP as input parameters and vulnerabilities and Indicators of compromise (IoC) as output parameters. The results relating to the prediction reveal that Spyware/Ransomware and spear phishing are the most predictable threats in CSC. We have also recommended relevant controls to tackle these threats. We advocate using CTI data for the ML predicate model for the overall CSC cyber security improvement

Impact of Baseline Characteristics on Stroke Outcomes in Pakistan: A Longitudinal Study Using the Modified Rankin Scale

Introduction. Stroke is a leading cause of disability and mortality globally, with a significant impact on healthcare systems. Various factors, including age, gender, comorbidities, and the type of stroke, influence the burden of stroke and its outcomes. The study was conducted with an objective to determine the impact of baseline characteristics on the long-term functional outcome of stroke patients. Methods. This prospective observational study was conducted between April 6, 2022 - December 31, 2023, at a tertiary hospital. The study included patients with radiologically confirmed stroke, selected through convenience sampling. Stroke patients of any gender and all age groups, with any comorbidity, were included. The Modified Rankin Scale (mRS) assessed disability on admission and three months post-stroke. Results. Of the 213 patients, 122 (57.3%) were males and the majority, 199 (93.4%) individuals, had acute ischemic stroke. The median age of the participants was 60 years (range: 13-97 years; IQR=18 years). The mRS score on admission was poor (5.0; IQR=1.0) for patients ≥ 60 years. In 74 (34.74%) participants, the left middle cerebral artery was a frequently involved site. Age of ≥ 60 years (mRS=4.0; IQR=4.0; p=0.001) and the presence of ≥ 3 comorbidities (mRS=5.0; IQR=1.0; p=0.001) were significantly associated with poor outcomes three months post-stroke. Ordinal logistic regression revealed that a mRS score of 4 (OR=14.20; 95% CI=1.70-145.25; p=0.02) and a mRS score of 5 (OR=78.84; 95% CI=9.35-820.25; p < 0.001) on admission were associated with poor outcomes. In addition, the presence of ≥ 3 comorbidities (OR=4.59; 95% CI=14.65; p < 0.01) and increasing age (OR=1.04; 95% CI=1.01-1.07; p=0.02) were predictors of poor outcomes three months post-stroke. Conclusions. The study underscores the importance of early intervention and effective management of comorbidities to improve functional outcomes in stroke patients. It highlights the need for targeted stroke care and rehabilitation strategies

The dynamics of monkeypox disease under ψ-Hilfer fractional derivative: Application to real data

The mathematical model for monkeypox infection using the Psi-Hilfer fractional derivative is presented in this study. The integer order formulation is extended to the fractional order system by employing the Psi- Hilfer fractional derivative. The fractional order model analysis is provided. We investigate the model's local asymptotical stability when R-0 1, the global asymptotical stability result is displayed. We parameterize the model using recently reported cases of monkeypox infection in the United States. We calculated the basic reproduction using the estimated data and found it to be R-0 approximate to 0.7121. We investigate the sensitivity of the monkeypox infection model and find the parameters that are sensitive R-0. In general, we offer a numerical approach, and then for the monkeypox model, we present detailed findings. Some graphical outcomes for disease control in the United States are shown.Web of Science55art. no. 10712

A nationwide virtual research education program for medical students in Pakistan: Methodological framework, feasibility testing, and outcomes

Introduction: Equipping young medical trainees with fundamental research skills can be a promising strategy to address the need for professionals who can understand and responsibly communicate evolving scientific evidence during a pandemic. Despite an ardent interest to partake in research, most educational institutions in Pakistan and other low-middle income countries have not yet adopted a comprehensive strategy for research skills education. The authors aimed to design and assess the feasibility of implementing the first nation-wide virtual research workshop for medical students in Pakistan. Methods: The course Beginners Guide to Research, designed as a nation-wide virtual research workshop series, was conducted for medical students across Pakistan in June 2020. Four interactive live workshops took place online on alternate days from June 22nd, 2020, to June 27th, 2020, each lasting 1-2 h. Outcomes included: (i) reach, (ii) efficacy as indexed by pre-post change in score pertaining to knowledge and application of research and (iii) self-rated perceptions about understanding of research on a Likert scale. Results: 3,862 participants enrolled from 41 cities and 123 institutions. Enrolled participants belonged to the following provinces: Sindh (n = 1,852, 48.0%), Punjab (n = 1,767, 45.8%), Khyber Pakhtunkhwa (n = 109, 2.8%), Azad Jammu and Kashmir (n = 84, 2.2%) Balochistan (n = 42, 1.1%). We also saw a few registrations from international students (n = 8, 0.2%). Mean (SD) age of enrolled medical students was 21.1 (2.1) years, 2,453 (63.5%) participants were female and 2,394 (62.0%) were from private-sector medical colleges. Two thousand ninety-three participants participants filled out all four pre-test and post-test forms. The total median knowledge score improved from 39.7 to 60.3% with the highest improvements in concepts of research bioethics and literature search (p \u3c 0.001) with greater change for females compared to males (+20.6 vs. +16.2%, p \u3c 0.001) and private institutions compared to public ones (+16.2 vs. +22.1%, p \u3c 0.001). Conclusion: The overwhelming enrollment and significant improvement in learning outcomes (\u3e50% of baseline) indicate feasibility of a medical student-led research course during a pandemic, highlighting its role in catering to the research needs in the LMICs

Allergic enterocolitis and protein-losing enteropathy as the presentations of manganese leak from an ingested disk battery: A case report

<p>Abstract</p> <p>Introduction</p> <p>Disk battery ingestions can lead to serious complications including airway or digestive tract perforation, blood vessel erosions, mediastinitis, and stricture formation.</p> <p>Case presentation</p> <p>We report a 20-month-old Caucasian child who developed eosinophilic enterocolitis and subsequent protein-losing enteropathy from manganese that leaked from a lithium disk battery. The disk battery was impacted in her esophagus for 10 days resulting in battery corrosion. We postulate that this patient's symptoms were due to a manganese leak from the 'retained' disk battery; this resulted in an allergic response in her gut and protein-losing enteropathy. Her symptoms improved gradually over the next 2 weeks with conservative management.</p> <p>Conclusion</p> <p>This is the first case report to highlight the potential complication of allergic enterocolitis and protein-losing enteropathy secondary to ingested manganese. Clinicians should be vigilant about this rare complication in managing patients with disk battery ingestions.</p

A comprehensive situation assessment of injection practices in primary health care hospitals in Bangladesh

<p>Abstract</p> <p>Background</p> <p>Understanding injection practices is crucial for evidence-based development of intervention initiatives. This study explored the extent of injection use and injection safety practices in primary care hospitals in Bangladesh.</p> <p>Methods</p> <p>The study employed both quantitative and qualitative research methods. The methods used were - a retrospective audit of prescriptions (n = 4320), focus group discussions (six with 43 participants), in-depth interviews (n = 38) with a range service providers, and systematic observation of the activities of injection providers (n = 120), waste handlers (n = 48) and hospital facilities (n = 24). Quantitative and qualitative data were assessed with statistical and thematic analysis, respectively, and then combined.</p> <p>Results</p> <p>As many as 78% of our study sample (n = 4230) received an injection. The most commonly prescribed injections (n = 3354) including antibiotics (78.3%), IV fluids (38.6%), analgesics/pain killers (29.4%), vitamins (26.7%), and anti-histamines (18.5%). Further, 43.7% (n = 1145) of the prescribed antibiotics (n = 2626) were given to treat diarrhea and 42.3% (n = 600) of IV fluids (n = 1295) were used to manage general weakness conditions. Nearly one-third (29.8%; n = 36/120) of injection providers reported needle-stick injuries in the last 6 months with highest incidences in Rajshahi division followed by Dhaka division. Disposal of injection needles, syringes and other materials was not done properly in 83.5% (n = 20/24) of the facilities. Health providers' safety concerns were not addressed properly; only 23% (n = 28/120) of the health providers and 4.2% (n = 2/48) of the waste handlers were fully immunized against Hepatitis B virus. Moreover, 73% (n = 87/120) of the injection providers and 90% (n = 43/48) of the waste handlers were not trained in injection safety practices and infection prevention. Qualitative data further confirmed that both providers and patients preferred injections, believing that they provide quick relief. The doctors' perceived injection use as their prescribing norm that enabled them to prove their professional credibility and to remain popular in a competitive health care market. Additionally, persistent pressure from hospital administration to use up injections before their expiry dates also influenced doctors to prescribe injections regardless of actual indications.</p> <p>Conclusions</p> <p>As far as the patients and providers' safety is concerned, this study demonstrated a need for further research exploring the dynamics of injection use and safety in Bangladesh. In a context where a high level of injection use and unsafe practices were reported, immediate prevention initiatives need to be operated through continued intervention efforts and health providers' training in primary care hospitals in Bangladesh.</p