Punjab Institute of Medical Sciences

Hepatitis C currently infects more than 170 million people around the world, leading to significant morbidity and mortality. The current standard of care for HCV infection, including one of the two protease inhibitors, telaprevir or boceprevir, for 12-32 weeks, along with pegylated interferon alfa-2a (PEG-IFN-α) and ribavirin for up to 48 weeks, is unsatisfactory in many cases, either because of lack of efficacy or because of treatment-related adverse effects. There is an urgent need of new drugs with improved efficacy as well as a safety profile. Sofosbuvir, a recently approved nucleotide analog, is a highly potent inhibitor of the NS5B polymerase in the Hepatitis C virus (HCV), and has shown high efficacy in combination with several other drugs, with and without PEG-INF, against HCV. It offers many advantages due to its high potency, low side effects, oral administration, and high barrier to resistance. The efficacy and safety were demonstrated in many large and well-designed phase 2 and phase 3 clinical trials like NEUTRINO, PROTON, ELECTRON, ATOMIC, COSMOS, FUSION, FISSION, NUCLEAR, POSITRON, and the like. It is generally well-tolerated. Adverse events that occurred include: Headache, insomnia, fatigue, nausea, dizziness, pruritis, upper respiratory tract infections, rash, back pain, grade 1 anemia, and grade 4 lymphopenia; however, the exact safety profile can only be judged when this drug is actually used on a large scale.

An ultrahigh enhancement rate of <italic>U</italic>_d (≈187%) and <italic>U</italic>_d (≈19 J cm⁻³) have been obtained for P(VDF-HFP)-based nanocomposites using novel core–shell BaTiO₃@MgO as the filler.

The adverse effect of Al³⁺ ions on human health as well as the environment makes it desirable to develop sensitive and specific techniques for the detection of Al³⁺ ions.

Background Artificial intelligence (AI) is evolving for healthcare services. Higher cognitive thinking in AI refers to the ability of the system to perform advanced cognitive processes, such as problem-solving, decision-making, reasoning, and perception. This type of thinking goes beyond simple data processing and involves the ability to understand and manipulate abstract concepts, interpret, and use information in a contextually relevant way, and generate new insights based on past experiences and accumulated knowledge. Natural language processing models like ChatGPT is a conversational program that can interact with humans to provide answers to queries. Objective We aimed to ascertain the capability of ChatGPT in solving higher-order reasoning in the subject of pathology. Methods This cross-sectional study was conducted on the internet using an AI-based chat program that provides free service for research purposes. The current version of ChatGPT (January 30 version) was used to converse with a total of 100 higher-order reasoning queries. These questions were randomly selected from the question bank of the institution and categorized according to different systems. The responses to each question were collected and stored for further analysis. The responses were evaluated by three expert pathologists on a zero to five scale and categorized into the structure of the observed learning outcome (SOLO) taxonomy categories. The score was compared by a one-sample median test with hypothetical values to find its accuracy. Result A total of 100 higher-order reasoning questions were solved by the program in an average of 45.31±7.14 seconds for an answer. The overall median score was 4.08 (Q1-Q3: 4-4.33) which was below the hypothetical maximum value of five (one-test median test p <0.0001) and similar to four (one-test median test p = 0.14). The majority (86%) of the responses were in the "relational" category in the SOLO taxonomy. There was no difference in the scores of the responses for questions asked from various organ systems in the subject of Pathology (Kruskal Wallis p = 0.55). The scores rated by three pathologists had an excellent level of inter-rater reliability (ICC = 0.975 [95% CI: 0.965-0.983]; F = 40.26; p < 0.0001). Conclusion The capability of ChatGPT to solve higher-order reasoning questions in pathology had a relational level of accuracy. Hence, the text output had connections among its parts to provide a meaningful response. The answers from the program can score approximately 80%. Hence, academicians or students can get help from the program for solving reasoning-type questions also. As the program is evolving, further studies are needed to find its accuracy level in any further versions.

The influence of dispersed graphene oxide (GO) on the mechanical, microstructural and crystallization properties of GO–cement nanocomposites has been investigated.

The LTMN_0.25 + 1 wt% 0.6CuO–0.4B₂O₃ ceramic with low sintering temperature, small density and excellent performance have wide application prospects in 5G devices.

Oral delivery is the most accepted and economical route for drug administration and leads to substantial reduction in dosing frequency. However, this route still remains a challenge for the pharmaceutical industry due to poorly soluble and permeable drugs leading to poor oral bioavailability. Incorporating bioactives into nanostructured lipid carriers (NLCs) has helped in boosting their therapeutic functionality and prolonged release from these carrier systems thus providing improved pharmacokinetic parameters. The present review provides an overview of noteworthy studies reporting impending benefits of NLCs in oral delivery and highlights recent advancements for developing engineered NLCs either by conjugating polymers over their surface or modifying their charge to overcome the mucosal barrier of GI tract for active transport across intestinal membrane.

The ultimate goal of any scientific development is to increase well-being and human health. Novel strategies are required for the achievement of safe and effective therapeutic treatments beyond the conventional ones, and society needs new requirements for new technologies, moving towards clean and green technology development. Green nanotechnology is a branch of green technology that utilizes the concepts of green chemistry and green engineering. It reduces the use of energy and fuel by using less material and renewable inputs wherever possible. Green nanotechnology, in phytoformulations, significantly contributes to environmental sustainability through the production of nanomaterials and nanoproducts, without causing harm to human health or the environment. The rationale behind the utilization of plants in nanoparticle formulations is that they are easily available and possess a broad variability of metabolites, such as vitamins, antioxidants, and nucleotides. For instance, gold (Au) nanoparticles have attracted substantial attention for their controllable size, shape, and surface properties. A variety of copper (Cu) and copper oxide (CuO) nanoparticles have also been synthesized from plant extracts. Titanium dioxide and zinc oxide nanoparticles are also important metal oxide nanomaterials that have been synthesized from a number of plant extracts. International and domestic laws, government and private-party programs, regulations and policies are being carefully reviewed and revised to increase their utility and nurture these nanoscale materials for commercialization. Inspiring debates and government initiatives are required to promote the sustainable use of nanoscale products. In this review, we will discuss the potential of the utilization of plant extracts in the advancement of nanotechnology.

In addition to the benefits, increasing the constant need for antibiotics has resulted in the development of antibiotic bacterial resistance over time. Antibiotic tolerance mainly evolves in these bacteria through efflux pumps and biofilms. Leading to its modern and profitable uses, emerging nanotechnology is a significant field of research that is considered as the most important scientific breakthrough in recent years. Metal nanoparticles as nanocarriers are currently attracting a lot of interest from scientists, because of their wide range of applications and higher compatibility with bioactive components. As a consequence of their ability to inhibit the growth of bacteria, nanoparticles have been shown to have significant antibacterial, antifungal, antiviral, and antiparasitic efficacy in the battle against antibiotic resistance in microorganisms. As a result, this study covers bacterial tolerance to antibiotics, the antibacterial properties of various metal nanoparticles, their mechanisms, and the use of various metal and metal oxide nanoparticles as novel antibiotic carriers for direct antibiotic delivery.

Purpose – The purpose of this paper is to review the literature on total productive maintenance (TPM) implementation practice to present an overview of TPM implementation practices adopted by various manufacturing organizations and suggest possible gaps from researchers and practitioner’s point of view. This study tries to identify the best strategy for improving competitiveness of small and medium enterprises (SMEs) in globalized market and evaluates TPM implementation practice in SMEs. Design/methodology/approach – The objective of this paper is to study the role of TPM program in context of Indian industries either from SMEs to large-scale industries. The approach has been directed toward justification of TPM implementation practice for its support to competitive manufacturing in the context of Indian manufacturing industries. Findings – TPM implementation improves productivity and working efficiency of employees and also improves equipment effectiveness and a positive inclination toward company is registered. Therefore, equipment maintenance is an indispensable function in a manufacturing enterprise. In this highly competitive environment, manufacturing organizations should consider maintenance function as a potential source for cost savings and competitive advantage. SMEs must be considered as an engine for economic growth all over the world (Singh et al. , 2008). A total of 148 papers related to TPM implementation in large-scale industries and SMEs were collected, analyzed and classified on the basis of their applications, broadly into large industry and SMEs and further divided into Indian and Non-Indian, then case study, implementation, model, literature review, maintenance, service, etc. This classification has clearly shows that SMEs are in a need to adopt TPM implementation practice to compete in this global market and changing requirements of large industries. Maintenance is an indispensable function in a manufacturing enterprise. In this highly competitive environment, manufacturing organizations must be considered maintenance function as a potential source for cost savings and competitive advantage. Singh et al. (2008) have concluded that SMEs must be considered as an engine for economic growth of all over the world. Following are the objectives of this study: to suggest a classification of available literature on TPM implementation; to identify the need of TPM implementation in SMEs; to identify critical observations on each category of classification; to identify the potential of SMEs in India; to identify emerging trends of TPM implementation in India; to suggest directions for future researchers in the field of TPM implementation on the basis of above mention points; and to consolidate all available literature on TPM implementation practice. Research limitations/implications – The challenges of stiff competition and the drive for profits are forcing the organizations to implement various productivity improvement efforts to meet the challenges posed by ever-changing market demands. In the dynamic and highly challenging environment, reliable manufacturing equipment is regarded as the major contributor to the performance and profitability of manufacturing systems. Practical implications – In this dynamic world, importance of SMEs in the growth of the nation needs more attention of researchers and industrialists. After the globalization of market, SMEs have got many opportunities to work in integration with large-scale organizations. All the organizations from SMEs to large-scale industries can adopt effective and efficient maintenance strategies such as condition-based maintenance, reliability-centered maintenance and TPM over the traditional firefighting reactive maintenance approaches (Sharma et al. , 2005). Social implications – In our view, this paper clearly identifies implications for research which will be useful for society. The gap discussed by authors needs to be addressed by future researchers. Originality/value – This implementation strategy can help to save huge amounts of time, money and other useful resources in dealing with reliability, availability, maintainability and performance issues. On the basis of available literature, it can be understood that SMEs should change their maintenance strategies to cope up with global competition so that a lot of resources can be utilized in a better direction.

3-Substituted-3-aminooxindole motifs constitute the core structure of a number of natural products and drug candidates.

We propose a method for achieving THz ultra-broadband coherent absorption using the anti-reflection theory of metamaterials. The metamaterial absorber consists of a periodic array of electric ring resonators with a multilayered structure which form the desired refractive index dispersion and provide continuous anti-reflection over a wide frequency range. The destructive interference mechanism and resonance absorption of the absorber are determined by simulation analysis and numerical simulation. Simulation results show that the absorption bandwidth is almost 8.02 THz (absorption rate >90%) over the entire terahertz band (0.1 THz-10 THz). This design provides an effective and viable method for constructing broadband absorbers for stealth technology and the construction of enhanced transmittance devices.

This work demonstrates the valorization of waste furniture sawdust into bio-oil by hydrothermal liquefaction process using a high pressure batch reactor.

The novelty of the work lies in utilizing the sunlight irradiated, green synthesis of TMO nanoparticles, and their potential in simulated water treatment.

Milk can be considered one of the primary sources of nutrients for the mammalian neonate. Therefore, milk and milk-based products, such as infant formula, whey protein isolate, different varieties of cheese, and others are prepared to meet the nutritional requirements of the consumer. Due to its significant nutritional components and perishable nature, a variety of pathogenic microorganisms can grow and multiply quickly in milk. Therefore, various heat treatments can be employed for the improvement of the shelf life of milk. In comparison to pasteurized milk, due to excessive and severe heating, UHT milk has a more cooked flavor. During storage, changes in the physicochemical properties of milk can lead to off-flavors, undesirable browning, separation of fat, sediment formation, or gelation during the subsequent storage. Several important factors such as processing parameters, time-temperature abuse (storage condition), and packaging type also influence the quality characteristics and consumer acceptance of the milk; however, the influence of heat treatments on milk protein is inconstant. The major protein modifications that occur during UHT treatment are denaturation and aggregation of the protein, and chemical modifications of its amino acids. These UHT-induced protein alterations can change digestibility and the overall biological influence of the intake of these proteins. Therefore, this review is focused on the influence of UHT on the physicochemical and structural attributes of milk proteins during storage. There are many indications of milk proteins present in the UHT milk, and milk products are altered during processing and storage.

Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI's precision and analysis regarding patients' genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI's contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI's capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI's impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.

OBJECTIVE: To assess the pharmacovigilance awareness among the healthcare professionals in a teaching hospital in Northern India. MATERIAL AND METHODS: A questionnaire which was suitable for assessing the basic Knowledge, Attitude and the Practice (KAP) of pharmacovigilance was designed and distributed among 100 doctors of the Punjab Institute of Medical Sciences (PIMS) Hospital, Jalandhar, Punjab, India. RESULTS: Among the 100 doctors, 61 responded. The data was analyzed by using the SPSS statistical software. Although 77% of the subjects knew the term 'pharmacovigilance', only 59% were aware of the existence of the National Pharmacovigilance Program. 23% volunteered to reports Adverse Drug Reactions (ADRs), but more than 60% doctors did not know how and where to report the ADRs. CONCLUSION: There is a need for a regular training and the reenforcement for the ADR reporting among the health care personnel. The perception of the reporting process being tedious, the lack of time, a poor knowledge on the reporting mechanism and inadequate expertise seemed to be the main reasons for not reporting the ADRs. A majority of the respondents suggested regular training sessions on a priority basis for the success of the pharmacovigilance program and for the better clinical management of the patients in general.

Cancer is the abnormal growth of cells that tend to proliferate in an uncontrolled way. About 32.6 million people in the world are affected by different types of cancer; 456 000 have esophageal cancer, which is the eighth most common cancer and the sixth most common cause of cancer-related deaths with a toll of 400 000 in 2012. About 80% of cases were reported from the less developed regions of the world. An incidence ratio of 2.4 : 1 for men and women reveals the gender disparity. Esophageal cancer is mainly of two types, namely, squamous cell carcinoma and adenocarcinoma. Most of the studies show a positive correlation of esophageal cancer with alcohol and tobacco consumption, but a negative correlation with fruit and vegetable intake. The type and amount of cereal, fat, meat and beverages consumed are also under study. Significant statistical synergistic interaction has been registered in studies considering the joint effect of the amount of beverage swallowed and its temperature, especially among heavy consumers. The role of non-nutritional components is gaining increasing attention because of their antioxidant, anti-inflammatory, anti-mutagenic and anti-carcinogenic properties. Socioeconomic status is another factor that cannot be ignored. Nevertheless, the predominant cause appears to be different in different regions, and in spite of the great advancements in the medical field, this still remains an enigma for researchers.

The present paper is focused on the synthesis of a green GrA-cl-poly(AAm) adsorbent using <italic>N</italic>,<italic>N</italic>′-methylene-bis-acrylamide and potassium persulphate as a crosslinker–initiator system.

Hirsutism is a common clinical condition seen in female patients of all ages. It affects around 5-10% of the women and is a common presenting complaint in the dermatological out patient department for cosmetic reasons. The cause is mainly hyperandrogeneism, which may be ovarian or adrenal. It may be part of a rare metabolic syndrome, drug induced, or just idiopathic. Hirsutism has a huge psychosocial impact, especially in the young females. This article reviews the current evaluation guidelines and management of hirsutism.