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Entrepreneurial networks play an important role in identifying and exploiting entrepreneurial opportunities and the growth of entrepreneurial ambidexterity. This exploratory research aimed to explore the role of entrepreneurial networks on entrepreneurial ambidexterity with the mediating effect of novelty ecosystem and the moderating role of entrepreneurial intensity. The data is collected from 347 SME owners and managers of manufacturing and service industries in Jiangsu province, China. The hypotheses are analyzed using the partial least squares structural equation modeling PLS-SEM method. The results indicate that entrepreneurial networks are significantly associated with entrepreneurial ambidexterity. Moreover, findings show that the novelty ecosystem positively influences the association between entrepreneurial networks and entrepreneurial ambidexterity. Furthermore, results show that entrepreneurial intensity significantly moderated the relationship between novelty ecosystem and entrepreneurial ambidexterity. Lastly, the discussion and implications are elaborated in this study., Competing Interests: The author declares no conflict of interest., (© 2024 The Authors. Published by Elsevier Ltd.)

Background: Scleroderma, also referred to as systemic sclerosis, is a multifaceted autoimmune condition characterized by abnormal fibrosis and impaired vascular function. Pathologically, it encompasses the persistent presence of inflammation, abnormal collagen buildup, and restructuring of blood vessels in various organs, resulting in a wide range of clinical symptoms. This review incorporates the most recent scientific literature on scleroderma, with a particular emphasis on its pathophysiology, clinical manifestations, diagnostic approaches, and treatment options., Methodology: A comprehensive investigation was carried out on numerous databases, such as PubMed, MEDLINE, Scopus, Web of Science, and Google Scholar, to collect pertinent studies covering diverse facets of scleroderma research., Results: Scleroderma presents with a range of systemic manifestations, such as interstitial lung disease, gastrointestinal dysmotility, Raynaud's phenomenon, pulmonary arterial hypertension, renal complications, neurological symptoms, and cardiac abnormalities. Serological markers, such as antinuclear antibodies, anti-centromere antibodies, and anti-topoisomerase antibodies, are important for classifying diseases and predicting their outcomes., Discussion: The precise identification of scleroderma is crucial for promptly and correctly implementing effective treatment plans. Treatment approaches aim to improve symptoms, reduce complications, and slow down the progression of the disease. An integrated approach that combines pharmacological agents, including immunosuppressants, endothelin receptor antagonists, and prostanoids, with nonpharmacological interventions such as physical and occupational therapy is essential for maximizing patient care., Conclusion: Through the clarification of existing gaps in knowledge and identification of emerging trends, our goal is to improve the accuracy of diagnosis, enhance the effectiveness of therapeutic interventions, and ultimately enhance the overall quality of life for individuals suffering from scleroderma. Ongoing cooperation and creative research are necessary to advance the field and achieve improved patient outcomes and new therapeutic discoveries., Competing Interests: The authors declare no conflict of interest., (© 2024 The Authors. Health Science Reports published by Wiley Periodicals LLC.)

The SARS-CoV-2 3CLpro protein is one of the key therapeutic targets of interest for COVID-19 due to its critical role in viral replication, various high-quality protein crystal structures, and as a basis for computationally screening for compounds with improved inhibitory activity, bioavailability, and ADMETox properties. The ChEMBL and PubChem database contains experimental data from screening small molecules against SARS-CoV-2 3CLpro, which expands the opportunity to learn the pattern and design a computational model that can predict the potency of any drug compound against coronavirus before in-vitro and in-vivo testing. In this study, Utilizing several descriptors, we evaluated 27 machine learning classifiers. We also developed a neural network model that can correctly identify bioactive and inactive chemicals with 91% accuracy, on CheMBL data and 93% accuracy on combined data on both CheMBL and Pubchem. The F1-score for inactive and active compounds was 93% and 94%, respectively. SHAP (SHapley Additive exPlanations) on XGB classifier to find important fingerprints from the PaDEL descriptors for this task. The results indicated that the PaDEL descriptors were effective in predicting bioactivity, the proposed neural network design was efficient, and the Explanatory factor through SHAP correctly identified the important fingertips. In addition, we validated the effectiveness of our proposed model using a large dataset encompassing over 100,000 molecules. This research employed various molecular descriptors to discover the optimal one for this task. To evaluate the effectiveness of these possible medications against SARS-CoV-2, more in-vitro and in-vivo research is required., Competing Interests: NO - The authors have declared that no competing interests exist., (Copyright: © 2023 Ashraf et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Reckless release of contaminants into the environment causes pollution in various aquatic systems on a global scale. Biochar is potentially an inexpensive and environmentally friendly adsorbent for removing contaminants from water. Ball milling has been used to enhance biochar's functionality; however, global analysis of the effect of ball milling on biochar's capacity to adsorb contaminants in aqueous solutions has not yet been done. Here, we conducted a meta-analysis to investigate the effects of ball milling on the adsorption/removal capacity of biochar for contaminants in aqueous solutions, and to investigate whether ball milling effects are related to biochar production, ball milling, and other experimental variables. Overall, ball milling significantly increased biochar adsorption capacity towards both inorganic and organic contaminants, by 69.9% and 561.9%, respectively. This could be attributed to ball milling increasing biochar surface area by 2.05-fold, pore volume by 2.39-fold, and decreasing biochar pH by 0.83-fold. The positive adsorption effects induced by ball milling varied widely, with the most effective being ball milling for 12 to 24 h at 300 to 400 rpm with a biochar:ball mass ratio of 1:100 on biochars produced at 400-550 °C from wood residues. Based on this meta-analysis, we conclude that ball milling could effectively enhance biochar's ability to remove organic and inorganic contaminants from aquatic systems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Objective: To find out the prevalence of diabetes mellitus in patients undergoing coronary artery bypass grafting (CABG)., Methods: This retrospective study was conducted in Northwest General Hospital and Research center Hayatabad, Peshawar over a duration of 15 months (December 2020 - March 2022). Every patient was tested through regular laboratory investigations. Diabetes mellitus was established according to WHO standards of fasting plasma glucose >126 mg/dl or two hours postprandial glucose level of 200 mg/dl. Data were analyzed using SPSS. Mean and standard deviation was used for quantitative data. Frequency and percentages were used for qualitative data. Shapiro Wilk's test was done to find the normality of the data., Results: Out of a total of 360 candidates, 129 (36%) individuals were non-diabetic and 231 (64%) candidates were diabetic. Among the diabetic patients, 64 (28%) were female and 167 (72%) were males with a ratio of 1:2.6 respectively., Conclusion: Prevalence of diabetes was 64% among the CABG population. Since the prevalence of diabetes can significantly affect the outcomes of people undergoing CABG, it is essential to generate awareness regarding diabetes among healthcare workers as well as the general population. More extensive research is needed to be carried by various health care centers to figure out the prevalence of diabetes mellitus in cardiac surgery patients., (Copyright: © Pakistan Journal of Medical Sciences.)

Semiconductor materials show a restricted degradation response to organic pollutants due to limited photocatalytic activity under visible light. Therefore, researchers have devoted much attention to novel and effective nanocomposite materials. For the first time, herein, a novel nano-sized semiconductor calcium ferrite modified by carbon quantum dots (CaFe 2 O 4 /CQDs) photocatalyst is fabricated via simple hydrothermal treatment for the degradation of aromatic dye using a visible light source. The crystalline nature, structure, morphology, and optical parameters of each of the synthesized materials were investigated using X-ray diffraction spectroscopy (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), and UV-visible spectroscopy. The nanocomposite exhibits excellent photocatalytic performance (90% degradation) against Congo red (CR) dye. In addition, a mechanism for CaFe 2 O 4 /CQDs improving photocatalytic performance has been proposed. The CQDs in the CaFe 2 O 4 /CQD nanocomposite are considered to act as an electron pool and transporter, as well as a strong energy transfer material, during photocatalysis. CaFe 2 O 4 /CQDs appear to be a promising and cost-effective nanocomposite for dye-contaminated water purification, according to the findings of this study., Competing Interests: There are no conflicts of interest to declare., (This journal is © The Royal Society of Chemistry.)

Artificial intelligence has significantly enhanced the research paradigm and spectrum with a substantiated promise of continuous applicability in the real world domain. Artificial intelligence, the driving force of the current technological revolution, has been used in many frontiers, including education, security, gaming, finance, robotics, autonomous systems, entertainment, and most importantly the healthcare sector. With the rise of the COVID-19 pandemic, several prediction and detection methods using artificial intelligence have been employed to understand, forecast, handle, and curtail the ensuing threats. In this study, the most recent related publications, methodologies and medical reports were investigated with the purpose of studying artificial intelligence's role in the pandemic. This study presents a comprehensive review of artificial intelligence with specific attention to machine learning, deep learning, image processing, object detection, image segmentation, and few-shot learning studies that were utilized in several tasks related to COVID-19. In particular, genetic analysis, medical image analysis, clinical data analysis, sound analysis, biomedical data classification, socio-demographic data analysis, anomaly detection, health monitoring, personal protective equipment (PPE) observation, social control, and COVID-19 patients' mortality risk approaches were used in this study to forecast the threatening factors of COVID-19. This study demonstrates that artificial-intelligence-based algorithms integrated into Internet of Things wearable devices were quite effective and efficient in COVID-19 detection and forecasting insights which were actionable through wide usage. The results produced by the study prove that artificial intelligence is a promising arena of research that can be applied for disease prognosis, disease forecasting, drug discovery, and to the development of the healthcare sector on a global scale. We prove that artificial intelligence indeed played a significantly important role in helping to fight against COVID-19, and the insightful knowledge provided here could be extremely beneficial for practitioners and research experts in the healthcare domain to implement the artificial-intelligence-based systems in curbing the next pandemic or healthcare disaster.

Yoga has become an integral part of human life to maintain a healthy body and mind in recent times. With the growing, fast-paced life and work from home, it has become difficult for people to invest time in the gymnasium for exercises. Instead, they like to do assisted exercises at home where pose recognition techniques play the most vital role. Recognition of different poses is challenging due to proper dataset and classification architecture. In this work, we have proposed a deep learning-based model to identify five different yoga poses from comparatively fewer amounts of data. We have compared our model's performance with some state-of-the-art image classification models-ResNet, InceptionNet, InceptionResNet, Xception and found our architecture superior. Our proposed architecture extracts spatial, and depth features from the image individually and considers them for further calculation in classification. The experimental results show that it achieved 94.91% accuracy with 95.61% precision., Competing Interests: Conflict of interestThe authors declare that they have no conficts of interest in this research work., (© The Author(s) 2023.)

The devastating impact of the Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) pandemic almost halted the global economy and is responsible for 6 million deaths with infection rates of over 524 million. With significant reservations, initially, the SARS-CoV-2 virus was suspected to be infected by and closely related to Bats. However, over the periods of learning and critical development of experimental evidence, it is found to have some similarities with several gene clusters and virus proteins identified in animal-human transmission. Despite this substantial evidence and learnings, there is limited exploration regarding the SARS-CoV-2 genome to putative microRNAs (miRNAs) in the virus life cycle. In this context, this paper presents a detection method of SARS-CoV-2 precursor-miRNAs (pre-miRNAs) that helps to identify a quick detection of specific ribonucleic acid (RNAs). The approach employs an artificial neural network and proposes a model that estimated accuracy of 98.24%. The sampling technique includes a random selection of highly unbalanced datasets for reducing class imbalance following the application of matriculation artificial neural network that includes accuracy curve, loss curve, and confusion matrix. The classical approach to machine learning is then compared with the model and its performance. The proposed approach would be beneficial in identifying the target regions of RNA and better recognising of SARS-CoV-2 genome sequence to design oligonucleotide-based drugs against the genetic structure of the virus., Competing Interests: The authors have declared that no competing interests exist.

The unique pool of features makes bacterial cellulose (BC) a robust platform to tailor its functionalities. Herein, the BC matrix was reinforced with multiwalled carbon nanotubes (MWCNT) to control infection and accelerate the healing process of diabetic wounds. The prepared BC-MWCNT composite film was characterized and antibacterial activity was assessed. Further, the in-vivo wound healing activity was performed and temporal expression of interleukin (IL-1α), tumor necrosis factor (TNF-α), vascular endothelial growth factor (VEGF) and platelets derived growth factor (PDGF) was quantitatively measured by real-time PCR. The characterization results confirmed the reinforcement of the BC matrix with MWCNT. The composite film showed antibacterial activity against all the tested strains. Moreover, the macroscopic analysis of the wound demonstrated faster closure of the diabetic wound in BC-MWCNT group (99% healing) as compared to negative control (77%) in 21 days. Histological studies further supported the results where complete reepithelization of the epidermis and healthy granulation tissue were observed in BC-MWCNT treated group. Molecular studies revealed that BC-MWCNT group showed relatively lesser expression of pro-inflammatory cytokines IL-1α and TNF-α and higher expression of VEGF than control that may have favored the faster healing. This study suggested that the tailorable properties of BC can be exploited to develop composites with potential applications in diabetic wound healing., (Copyright © 2022. Published by Elsevier B.V.)

Objectives: In this study we determine the modifiable factors related to bleeding and transfusion in post-cardiac surgery patients who underwent open heart surgery., Methods: This is a retrospective study that include two hundred patients who had undergone open heart surgery (OHS) at Northwest General Hospital and Research Center from December 2018 to July 2021. Platelet count and hemoglobin level were measured in the pre-operative period., Results: This study included both male and female patients. Postoperative platelets were counted as follow: 50-100 x10 9 L in 3.0% cases, 101-150 x10 9 L seen in 27.5% cases, and >150 x 10 9 L in 69.5% cases which required transfusion. We have also reported the increased requirement of transfusion of blood and blood products in patients with pre-operative hemoglobin (Hb) < 10 g/dl., Conclusion: Correction of pre-op Hb, post-op platelet count and total bypass time are the significant and preventable parameters in patients undergoing cardiac surgery if proper pre-op assessment of the patient is performed., Competing Interests: Conflicts of interest: None., (Copyright: © Pakistan Journal of Medical Sciences.)

Complete assessment of obstructive jaundice requires the use of various imaging modalities that are required to detect the cause and level of obstruction thus helping in treatment planning. Magnetic Resonance Cholangio Pancreatography (MRCP) is a current available technology which is a non-invasive technique that visualizes the gallbladder, biliary tree and pancreatic duct and also provides information about surrounding structures. This study was done to correlate the MRCP findings with post-operative result and thereby demonstrate the specificity, sensitivity and efficacy of MRCP as an accurate investigatory tool for biliary obstruction. Total of fifty (50) patients of clinically diagnosed obstructive jaundice were studied from March 2017 to August 2017 in the Department of Radiology and Imaging, Combined Military Hospital, Dhaka, Bangladesh. In all these cases, USG was the initial screening investigation followed by MRCP. Cause and level of obstruction were evaluated using MRCP findings. MRCP results were correlated with surgical findings and few cases also with direct ERCP findings. Statistical analysis was done to see the sensitivity, specificity, accuracy, positive and negative predictive values of MRCP in diagnosis of biliary obstruction. In this study, USG detected level of obstruction in 56% (28 out of 50) cases. USG could detect causes of obstruction in 100% (02 out of 02) cases of choledocal cyst and 66.67% (02 out of 03) benign stricture, 60% (03 out of 05) cases of periampullary carcinoma, 57.70% (06 out of 14) cases of choledocholithiasis, and 42.86% (15 out of 26) cases of cholangiocarcinoma. On the other hand, MRCP detected level of obstruction in 98% (49 out of 50) cases. MRCP could detect causes of obstruction in 100% cases of cholangiocarcinoma, choledocholithiasis, benign stricture and choledocal cyst and 80% (04 out of 05) cases of periampullary carcinoma. In this study, ERCP could detect causes of obstruction in 32 cases of choledocholithiasis and benign stricture, but in case of cholangiocarcinoma ERCP was failed in 3 cases. In this study, for detection of cause of obstruction, ERCP had the highest sensitivity (97.79%); followed by MRCP (96.65%) and USG (60.25%). The overall diagnostic accuracy for detection of cause of obstruction was the highest for ERCP (95.50%); followed by MRCP (94.50%) and USG (64.50%). MRCP can be done in a short duration and is a noninvasive diagnostic modality compared to ERCP. MRCP needs to be advocated as a viable and non-invasive alternative with compararable sensitivity and specificity to ERCP.

Objectives: Osteoarthritis is one of the most common musculoskeletal diseases which leads to functional decline and loss of quality of life. Knee osteoarthritis is considered as highly burdensome disease as well as highest contributor to global disability. Ḥijāmah (Cupping Therapy) and Dalk (Massage) are claimed effective in the treatment of Waja'ul Mafāṣil (osteoarthritis). Present study was framed to compare the efficacy of Ḥijāmah bilā Sharṭ (Dry Cupping) and Dalk-i-Layyin Kathīr (soft and prolonged massage) with Roghan-i-Bābūna (chamomile oil) in the management of Waja' ur Rukbah (knee osteoarthritis)., Methods: In present randomised controlled clinical trial, a total of 48 diagnosed patients of knee osteoarthritis were allocated randomly into group A (n=24) and group B (n=24). Group A was treated with soft and prolonged massage with Roghan-i-Bābūna while group B was managed with dry cupping on alternate day for 15 min. Visual Analog Scale (VAS) and Knee osteoarthritis outcome score (KOOS) were used for the assessment of efficacy. A total of 40 patients, group A (n=20) and group B (n=20), were completed the allocated duration of protocol therapy and were restricted to statistical analysis., Results: Statistically highly significant improvement was observed in objective parameters using both paired and unpaired t-tests. VAS and all KOOS subscales were found to be strongly significant at 20th day when compared with baseline (p<0.001). In intergroup comparison significant change (p>0.05) was not observed. Safety parameters were in their normal range after treatment., Conclusions: Dalk-i-Layyin Kathīr with Roghan-i-Bābūna and Ḥijāmah bilā Sharṭ both were found safe and effective in the management of Waja'ur Rukbah . Hence, it may be concluded that both regimenal therapies are safe, effective and almost equal in their efficacy in the management of Knee Osteoarthritis., (© 2021 Walter de Gruyter GmbH, Berlin/Boston.)

Objective: To find the incidence of intra-aortic balloon pump (IABP) induction and factors associated with its insertion in coronary artery bypass grafting (CABG)., Methods: This retrospective observational non interventional study was conducted at Cardiac Surgery Department, North West General Hospital and Research Center, Peshawar from December 2018 to March 2020. The total sample size was 360 patients who underwent coronary artery bypass grafting (CABG). The research was piloted in the cardiac operation theatre then cardiac intensive care unit (CICU) of Northwest General Hospital and Research center Hayatabad Peshawar. Data was collected from 360 patients scheduled for CABG. Total numbers of patients in whom IABP was inserted and factors associated with IABP insertions were noted. All the information was collected on a specifically prepared Form. Data was entered and evaluated in statistical package for social sciences form 25., Results: In this study, a total of 360 patients were observed who underwent coronary artery bypass grafting (CABG). We determined the frequency of IABP induction and the factors related to it. Gender distribution among patients who were assisted with IABP was 43% female and 57% male. IABP induction was done for most of moderately to severely reduced ejection fraction patients. Other factors related to patients who required IABP support were previous myocardial infarction 100%, hypertension 86%, diabetes mellitus 64%, coronary end-arterectomy 21% and smoking 7%. The results were analyzed. We have used the (SPSS) version 25 and Chi-square test for analysis in which the P-value less than 0.00001 is statistically significant., Conclusion: Incidence of insertion of IABP among CABG population was 3.9% in our hospital. It is an essential support to post CABG patient with left ventricular dysfunction after cardiopulmonary bypass with moderate to severely reduced ejection fraction, Myocardial infarction, hypertension, diabetes mellitus. Smoking and endarterectomy were not significantly related to IABP induction in our study. Multicenter study is still required to find out the other factors governing the IABP insertion., Competing Interests: Conflicts of interest: None., (Copyright: © Pakistan Journal of Medical Sciences.)

Introduction: There is a set of globally accepted and nationally adapted signal functions for categorising health facilities for maternal services. Newborn resuscitation is the only newborn intervention which is included in the WHO recommended list of emergency obstetric care signal functions. This is not enough to comprehensively assess the readiness of a health facility for providing newborn services. In order to address the major causes of newborn death, the Government of Bangladesh has prioritised a set of newborn interventions for national scale-up, the majority of which are facility-based. Effective delivery of these interventions depends on a core set of functions (skills and services). However, there is no standardised and approved set of newborn signal functions (NSFs) based on which the service availability and readiness of a health facility can be assessed for providing newborn services. Thus, this study will be the first of its kind to identify such NSFs. These NSFs can categorise health facilities and assist policymakers and health managers to appropriately plan and adequately monitor the progress and performance of health facilities delivering newborn healthcare., Methods and Analysis: We will adopt the Delphi technique of consensus building for identification of NSFs and 1-2 indicator for each function while employing expert consultation from relevant experts in Bangladesh. Based on the identified NSFs and signal function indicators, the existing health facility assessment (HFA) tools will be updated, and an HFA survey will be conducted to assess service availability and readiness of public health facilities in relation to the new NSFs. Descriptive statistics (proportion) with a 95% CI will be used to report the level of service availability and readiness of public facilities regarding NSFs., Ethics and Dissemination: Ethical approval was obtained from Research Review and Ethical Review Committee of icddr, b (PR-17089). Results will be disseminated through meetings, seminars, conference presentations and international peer-review journal articles., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

In this study, we posit that in determining the underpinnings and attributes of community resilience to disaster-shocks, an analysis of actual and potential disaster victims' emic perspectives, that is the views of cultural insiders, on recovery processes and community resilience is crucial. We argue that community resilience must be framed within a deeper understanding of the subjective views of the actors themselves, their local knowledge and culture, and the historical context of the place or social formation. In this context, the primary goal of this study was to delineate the fundamental elements of community recovery and attributes of resilience to cyclones, storm surges, and other environmental disaster-shocks in Bangladesh's coastal communities, and, recognizing that social actions are pivotal elements of community resilience, we attempt to make a novel contribution by underscoring local emic perspectives. Using the tools of participatory research methods, we collected empirical data from four sources: a household survey of 300 household heads, eight focus group discussions, 20 key informant interviews, and five in-depth, household case studies. Our research findings revealed that the roles of traditional-informal as well as quasi-formal institutions were vital for rapid recovery and transformation to new local economic and livelihood trajectories. Resilience attributes that were deeply embedded in community characteristics assisted in ameliorating immediate impacts as well as in building future adaptive capacities. Out of 12 resilience attributes identified by the respondents, 'knowledge, skills and learning', 'values and beliefs', 'people-place connection', 'social networks and support', 'active institutions', and 'self-organization' capacities were ranked highest. The community resilience attributes and their functionality in the context of the coastal communities studied varied significantly depending on their economic base, occupations, and their respective contexts of vulnerability. Overall, the findings demonstrate that community resilience attributes function interactively rather than independently, and analyses of community attributes therefore require a clear understanding of network functioning and the processes that drive institutional structures, relations, and outcomes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

There is compelling evidence that drug molecules isolated from natural sources are hindered by low systemic bioavailability, poor absorption, and rapid elimination from the human body. Novel approaches are urgently needed that could enhance the retention time as well as the efficacy of natural products in the body. Among the various adopted approaches to meet this ever-increasing demand, nanoformulations show the most fascinating way of improving the bioavailability of dietary phytochemicals through modifying their pharmacokinetics and pharmacodynamics. Curcumin, a yellowish pigment isolated from dried ground rhizomes of turmeric, exhibits tremendous pharmacological effects, including anticancer activities. Several in vitro and in vivo studies have shown that curcumin mediates anticancer effects through the modulation (upregulation and/or downregulations) of several intracellular signaling pathways both at protein and mRNA levels. Scientists have introduced multiple modern techniques and novel dosage forms for enhancing the delivery, bioavailability, and efficacy of curcumin in the treatment of various malignancies. These novel dosage forms include nanoparticles, liposomes, micelles, phospholipids, and curcumin-encapsulated polymer nanoparticles. Nanocurcumin has shown improved anticancer effects compared to conventional curcumin formulations. This review discusses the underlying molecular mechanism of various nanoformulations of curcumin for the treatment of different cancers. We hope that this study will make a road map for preclinical and clinical investigations of cancer and recommend nano curcumin as a drug of choice for cancer therapy., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

The varied interpretations of the concept of resilience in natural hazards research literature has attracted numerous criticisms. A common criticism centers around a poor understanding of the changes caused by natural disasters by the research stream. Considering resilience as a metaphor of change, and newspaper as a catalyst that often highlights post-disaster opportunities for "forward looking" (rather than bouncing back) changes, we examined some specific aspects of change in Canadian communities by analyzing coverage of natural disasters in daily newspapers. We posit that post-disaster newspaper discourse on resilience and change can not only assist enhancing academic inquiries on resilience but also contribute to improving practices for transformative changes in post-disaster contexts. We adopted a social constructivist approach to analyzing newspaper discourse, using the ProQuest database to find articles from the 1996-2017 period. The findings exhibited a trend of the increased use of narratives on resilience in Canadian newspapers since the 1990s that substantiates the hypothesis that transformative change in the personal and practical spheres requires alteration of peoples' attitude, behavior, and thinking toward environmental risks. The discourse emphasized incremental changes at the policy level: (i) to improve response and recovery, and (ii) to address the needs of vulnerable and disaster-affected population. Our findings overall underscore the importance of documentation and efforts towards streamlining learning; application of learning at multiple interconnected levels for progressive changes to enhance community resilience, and the need for building consensus among academicians, practitioners and policy makers regarding the meaning and use of the concept of resilience.

To date, no curative therapy is available for the treatment of most chronic inflammatory diseases such as atopic dermatitis, rheumatoid arthritis, or autoimmune disorders. Current treatments require a lifetime supply for patients to alleviate clinical symptoms and are unable to stop the course of disease. In contrast, a new series of immunotherapeutic agents targeting the Fc γ receptor I (CD64) have emerged and demonstrated significant clinical potential to actually resolving chronic inflammation driven by M1-type dysregulated macrophages. This subpopulation plays a key role in the initiation and maintenance of a series of chronic diseases. The novel recombinant M1-specific immunotherapeutics offer the prospect of highly effective treatment strategies as they have been shown to selectively eliminate the disease-causing macrophage subpopulations. In this review, we provide a detailed summary of the data generated, together with the advantages and the clinical potential of CD64-based targeted therapies for the treatment of chronic inflammatory diseases., Competing Interests: Theo Thepen and Stefan Barth are co-inventors on CD64-related patents and patent applications, which are assigned to Fraunhofer or UCT. The authors otherwise declare no conflicts of interest.

Bacterial cellulose (BC) has received substantial attention because of its high purity, mechanical strength, crystallinity, liquid-absorbing capabilities, biocompatibility, and biodegradability etc. These properties allow BC to be used in various fields, especially in industries producing medical, electronic, and food products etc. A major discrepancy associated with BC is its high production cost, usually much higher than the plant cellulose. To address this limitations, researchers have developed several strategies for enhanced production of BC including the designing of advanced reactors and utilization of various carbon sources. Another promising approach is the production of BC from waste materials such as food, industrial, agricultural, and brewery wastes etc. which not only reduces the overall BC production cost but is also environment-friendly. Besides, exploration of novel and efficient BC producing microbial strains provides impressive boost to the BC production processes. To this end, development of genetically engineered microbial strains has proven useful for enhanced BC production. In this review, we have summarized major efforts to enhance BC production in order to make it a cost-effective biopolymer. This review can be of interest to researchers investigating strategies for enhanced BC production, as well as companies exploring pilot projects to scale up BC production for industrial applications., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Background: Radiosurgery is being increasingly used post craniotomy for brain metastasis, instead of whole-brain radiation. We report a case of scalp metastasis following craniotomy and radiosurgery, along with a systematic review of the literature., Methods: Our patient was a 70-year-old male who presented with a scalp metastasis, two years after craniotomy and radiosurgery, for a solitary brain metastasis from esophageal carcinoma. Using Medline® (United States National Library of Medicine, Bethesda, MD), we performed a systematic review of the literature to identify cases of isolated scalp metastases following craniotomy for brain lesions., Results: The scalp metastasis was in close proximity to the craniotomy site. Workup did not show any other site of active disease. Biopsy confirmed it to be a metastasis from esophageal carcinoma. The literature review did not yield any case of isolated scalp metastasis following craniotomy and whole-brain radiotherapy or radiosurgery. However, it yielded six cases of isolated scalp metastases following craniotomy for primary brain tumors., Conclusion: Isolated scalp metastasis has not been reported following craniotomy and whole-brain radiotherapy for brain metastases. Our patient likely had surgical seeding during craniotomy. These surgically implanted cells could not be ablated because the radiosurgery treatment volume does not cover the surgical tract. Further research is needed to identify risk factors for surgical seeding., Competing Interests: The authors have declared that no competing interests exist.

Background: One of the most important complications of Type 2 diabetes mellitus is diabetic nephropathy which is reported as the leading cause of premature deaths due to renal failure. This study was being conducted to see the role of C-reactive protein a marker in type 2 diabetic patient with micro-albuminuria., Methods: This cross sectional study was carried out in the Diabetic Clinic of Pakistan Medical Research Council, Research Centre Lahore. Personal history about the disease was collected on a questionnaire. Blood and urine sample of 50 type 2 diabetic patients between the ages of 40-65 years were collected to analyze C-reactive protein and micro-albuminuria respectively. Data were analyzed using SPSS-15. The Pearson correlation coefficient test was used to determine correlation between urine albumin and C-reactive protein., Results: There were 22 micro- albuminuria positive cases out of total 50 diabetic cases. Of these 14 (63%) showed raised C-reactive protein levels (p < 0.00)., Conclusion: There is significant association between the level of serum C- reactive proteins and micro-albuminuria in type 2 diabetics.