Carry-over effect of artificial light at night on daytime mating activity in an ecologically important detritivore, the amphipod Gammarus pulex

Artificial light at night (ALAN) is a growing environmental problem influencing the fitness of individuals through effects on their physiology and behaviour. Research on animals has primarily focused on effects on behaviour during the night, whereas less is known about effects transferred to daytime. Here, we investigated in the lab the impact of ALAN on the mating behaviour of an ecologically important freshwater amphipod, Gammarus pulex, during both daytime and nighttime. We manipulated the presence of ALAN and the intensity of male-male competition for access to females, and found the impact of ALAN on mating activity to be stronger during daytime than during nighttime, independent of male-male competition. At night, ALAN only reduced the probability of precopula pair formation, while during the daytime, it both decreased general activity and increased the probability of pair separation after pair formation. Thus, ALAN reduced mating success in G. pulex not only directly, through effects on mating behaviour at night, but also indirectly through a carry-over effect on daytime activity and the ability to remain in precopula. These results emphasise the importance of considering delayed effects of ALAN on organisms, including daytime activities that can be more important fitness determinants than nighttime activities.

Intravesical Contrast-Enhanced MRI: A Potential Tool for Bladder Cancer Surveillance and Staging

This review article gives an overview of the current state of the art of bladder cancer imaging and then discusses in depth the scientific and technical merit of a novel imaging approach, tracing its evolution from murine cancer models to cancer patients. While the poor resolution of soft tissue obtained by widely available imaging options such as abdominal sonography and radiation-based CT leaves them only suitable for measuring the gross tumor volume and bladder wall thickening, dynamic contrast-enhanced magnetic resolution imaging (DCE MRI) is demonstrably superior in resolving muscle invasion. However, major barriers still exist in its adoption. Instead of injection for DCE-MRI, intravesical contrast-enhanced MRI (ICE-MRI) instills Gadolinium chelate (Gadobutrol) together with trace amounts of superparamagnetic agents for measurement of tumor volume, depth, and aggressiveness. ICE-MRI leverages leaky tight junctions to accelerate passive paracellular diffusion of Gadobutrol (604.71 Daltons) by treading the paracellular ingress pathway of fluorescein sodium and of mitomycin (<400 Daltons) into bladder tumor. The soaring cost of diagnosis and care of bladder cancer could be mitigated by reducing the use of expensive operating room resources with a potential non-surgical imaging option for cancer surveillance, thereby reducing over-diagnosis and over-treatment and increasing organ preservation.

Does large volume of distribution of lidocaine masks its systemic uptake from bladder?

PURPOSE

To assess whether therapeutic and toxic effects of intravesical lidocaine are determined by coincident serum levels.

MATERIAL AND METHODS

Published clinical trials and case studies on instilled lidocaine 1-2% that reported serum lidocaine levels were analyzed using model independent pharmacokinetic equations to compute the absorbed dose fraction (F) for linear regression with the respective dwell times.

RESULTS

Rapid absorption of intravesical lidocaine is evinced by the serum levels of 0.16±0.3 mg/L at 5 min in bladder cancer patients coinciding with the rapid onset of pain relief (<5 min) and blood pressure drop (≥10 mm Hg) in spinal cord injured patients. Serum levels at 5 min are raised five-fold by alkalinization for a tertiary amine with pKa of 7.8 and a linear rise in F with longer dwell time (r2 = 0.80; P<0.005) conforms to passive, paracellular diffusion of amphiphilic lidocaine (log P of 1.68) around umbrella cell borders with absorption rate at least five times faster than the terminal elimination rate, and therefore the delay in blood sampling after instillation is unwarranted. A rapid resolution of therapeutic and toxic effects is predicated on the extensive dilution of absorbed lidocaine with a rapid distribution half-life of 3.6 min in body weight dependent Vd - 15 times larger than blood volume, 0.13-4.5 L/kg which necessitates dose adjustment in children.

CONCLUSION

Whether rapid absorption of instilled lidocaine is complicated by an equally rapid and extensive dilution in body weight dependent Vd can be resolved by early blood sampling (<30 min) for: evidence-based medicine, avoidance of lidocaine toxicity in children and to educate the evolution of lidocaine solution to gel and devices.

Treating Lower Urinary Tract Symptoms in Older Adults: Intravesical Options

This article provides an overview of the diagnosis and the treatment of lower urinary tract symptoms in older adults complicated by the neurodegenerative changes in the micturition reflex and further confounded by age-related decline in hepatic and renal clearance raising the propensity of adverse drug reactions. The first-line drug treatment for lower urinary tract symptoms, orally administered antimuscarinics, fails to reach the equilibrium dissociation constant of muscarinic receptors even at their maximum plasma concentration and tends to evoke a half-maximal response at a muscarinic receptor occupancy of just 0.206% in the bladder with a minimal difference from exocrine glands, which raises the adverse drug reaction risk. On the contrary, intravesical antimuscarinics are instilled at concentrations 1000-fold higher than the oral maximum plasma concentration and the equilibrium dissociation constant erects a downhill concentration gradient that drives passive diffusion and achieves a mucosal concentration around ten-fold lower than the instilled concentration for a long-lasting occupation of muscarinic receptors in mucosa and sensory nerves. A high local concentration of antimuscarinics in the bladder triggers alternative mechanisms of action and is supposed to engage retrograde transport to nerve cell bodies for neuroplastic changes that underlie a long-lasting therapeutic effect, while an intrinsically lower systemic uptake of the intravesical route lowers the muscarinic receptor occupancy of exocrine glands to lower the adverse drug reaction relative to the oral route. Thus, the traditional pharmacokinetics and pharmacodynamics of oral treatment are upended by intravesical antimuscarinics to generate a dramatic improvement (~ 76%) noted in a meta-analysis of studies enrolling children with neurogenic lower urinary tract symptoms on the primary endpoint of maximum cystometric bladder capacity as well as the secondary endpoints of filling compliance and uninhibited detrusor contractions. The therapeutic success of intravesical multidose oxybutynin solution or oxybutynin entrapped in the polymer for sustained release in the pediatric population bodes well for patients with lower urinary tract symptoms at the other extreme of the age spectrum. Though generally used to predict oral drug absorption, Lipinski's rule of five can also explain the ten-fold lower systemic uptake from the bladder of positively charged trospium over oxybutynin, a tertiary amine. Chemodenervation by an intradetrusor injection of onabotulinumtoxinA is merited for patients with idiopathic overactive bladder discontinuing oral treatment because of a lack of efficacy. However, age-related peripheral neurodegeneration potentiates the adverse drug reaction risk of urinary retention that motivates the quest of liquid instillation, delivering larger fraction of onabotulinumtoxinA to the mucosa as opposed to muscle by an intradetrusor injection can also probe the neurogenic and myogenic predominance of idiopathic overactive bladder. Overall, the treatment paradigm of lower urinary tract symptoms in older adults should be tailored to individual's overall health status and the risk tolerance for adverse drug reactions.

Targets of Immune Escape Mechanisms in Cancer: Basis for Development and Evolution of Cancer Immune Checkpoint Inhibitors

Immune checkpoint blockade (ICB) has emerged as a novel therapeutic tool for cancer therapy in the last decade. Unfortunately, a small number of patients benefit from approved immune checkpoint inhibitors (ICIs). Therefore, multiple studies are being conducted to find new ICIs and combination strategies to improve the current ICIs. In this review, we discuss some approved immune checkpoints, such as PD-L1, PD-1, and CTLA-4, and also highlight newer emerging ICIs. For instance, HLA-E, overexpressed by tumor cells, represents an immune-suppressive feature by binding CD94/NKG2A, on NK and T cells. NKG2A blockade recruits CD8+ T cells and activates NK cells to decrease the tumor burden. NKG2D acts as an NK cell activating receptor that can also be a potential ICI. The adenosine A2A and A2B receptors, CD47-SIRPα, TIM-3, LAG-3, TIGIT, and VISTA are targets that also contribute to cancer immunoresistance and have been considered for clinical trials. Their antitumor immunosuppressive functions can be used to develop blocking antibodies. PARPs, mARTs, and B7-H3 are also other potential targets for immunosuppression. Additionally, miRNA, mRNA, and CRISPR-Cas9-mediated immunotherapeutic approaches are being investigated with great interest. Pre-clinical and clinical studies project these targets as potential immunotherapeutic candidates in different cancer types for their robust antitumor modulation.

Insulin resistance is associated with increased circulating lipocalin-2 levels in polycystic ovary syndrome: a systematic review and meta-analysis

INTRODUCTION

This meta-analysis was conducted to compare the circulating lipocalin-2 levels in polycystic ovary syndrome (PCOS).

EVIDENCE ACQUISITION

Relevant studies were retrieved by online database and manual searching. The standardized mean differences (SMDs) with 95% confidence intervals (CIs) were obtained by a random-effects meta-analysis. The subgroup analysis based on the Body Mass Index (BMI) and the homeostasis model assessment-estimated insulin resistance (HOMA-IR) was conducted. Meta-analysis of correlations and meta-regression were performed for the associations of lipocalin-2 with the metabolic and hormonal covariates. The funnel plot analysis was used for publication bias.

EVIDENCE SYNTHESIS

The combined effect size including a total of 13 studies showed no significant difference in lipocalin-2 levels between PCOS and control groups. However, the subgroup meta-analysis based on insulin resistance showed a significant difference in the circulatory lipocalin-2 levels in PCOS as compared to controls in both HOMA-IR<3 (SMD=-1.15, Z=2.42, P=0.02) and HOMA-IR>3 subgroups (SMD=0.91, Z=2.43, P=0.02).

CONCLUSIONS

There were significant associations of lipocalin-2 with age, BMI, estrogen and hyperandrogenism in PCOS. Lipocalin-2 level alterations in PCOS are associated to insulin resistance. More is the insulin resistance, higher is the lipocalin-2 level in PCOS as compared to controls.

Can anticipatory supply chain decision making manage the pandemic's effect? A regime switching game

The COVID-19 pandemic has shown that stock outs of essential items like hand sanitizers, tissue papers and other items of hygiene and daily use have been characteristic of a supply chain, especially immediately following a pandemic wave. Consequently, retailers have to indulge in substantial supplier management efforts to ensure product availability during a pandemic wave. Using a piecewise deterministic differential game, we model a scenario where, while anticipating a pandemic wave, a supplier decides on product availability efforts to ensure product availability under the impending threat of stock outs. A market leader coordinating retailer, on the other hand, decides on the proportion of the costs of the efforts to be shared with the supplier.

Pharmacological effects of D-Pinitol - A comprehensive review

In recent years, the application of phytochemicals to prevent or treat diseases has received greater attention. These phytochemicals have little or no toxicity against healthy tissues and are thus considered as ideal compounds. An impressive number of modern drugs are obtained from natural sources based on their traditional value. D-Pinitol is a natural compound that is derived from soy and soy products. It is a potentially active molecule that belongs to the class of inositols. D-pinitol has been pharmacologically evaluated for its potent antioxidant, anti-diabetic, anti-inflammatory, anti-cancer, hepatoprotective, cardioprotective, renoprotective, neuroprotective, immunosuppressive, and anti-osteoporotic efficacies. This review is an attempt to validate the plausible pharmacological effects of D-pinitol using various in vivo and in vitro studies. PRACTICAL IMPLICATIONS: The consumption of plant-based products has been significantly increased all over the world. The active phytochemicals that are found in plants are stated to have numerous health promoting functions for the treatment of diabetes, cancer, inflammation, cardiac diseases, liver dysfunction, and many other. D-Pinitol is abundantly present in soybeans that possess notable therapeutic activities. Understanding the effects of D-Pinitol would potentially help in applying this compound in clinical research for the treatment of different disorders.

Crowdsourced product returns in C2B e-commerce: a post-pandemic no-contact consumer incentive-based model

Purpose

This study aims to investigate the conditions for the financial feasibility of an incentive-based model for self-drop or crowdsourced drop of the product to be returned at designated drop boxes (thereby ensuring a contactless process).

Design/methodology/approach

Constraint-based non-linear mathematical modeling was done for cost differential with and without crowdsourcing. This was analyzed against returns on investment for the installed infrastructure. Scenarios were looked into from the linear, iso-elastic and logarithmic demand functions to identify the optimal incentive policy. The results were further evaluated using “willingness to return” for customer willingness for product returns via drop boxes.

Findings

Crowdsourcing is viable when product returns are no more than 15%–20% of the overall products, with a logistics cost differential of 15%–25%. These were only viable when the product return incentive was within the range of 15%–20% of the product cost, as well as the penalty was in the range of 25 to 40% for wrong returns.

Research limitations/implications

The findings are expected to aid the organizations in successfully designing product return policies while adhering to the post-COVID-19 norms, including contactless transactions and social distancing.

Originality/value

The study provides a look into the viability sensitivity of effective gains/profitability against the required level of service for returns, wrong returns, penalties and incentives for crowdsourcing in a developing country like India.

Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run

We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2  M_{⊙} and 1.0  M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14  yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200]  Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2  M_{⊙}<m_{PBH}<1.0  M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1  M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.

Towards measuring SMEs performance amid the COVID-19 outbreak: exploring the impact of integrated supply chain drivers

Purpose

This study aims to explore supply chain disruptions during the COVID-19 pandemic in the small and medium enterprise (SME) sector in Oman. This study analyzes the impact on selected supply chain drivers – facilities, inventory, transportation and sourcing. It further intends to explore whether the supply chain challenges faced by the SME sector in Oman impact their overall performance.

Design/methodology/approach

This study follows the quantitative technique of structural equation modeling to examine the proposed hypotheses. Data were collected electronically from SME managers/owners/entrepreneurs. All items were adopted and measured using a five-point Likert scale. One hundred and four complete and usable responses were received and considered.

Findings

The data was analyzed using SPSS and PLS statistical software. The model has been supported empirically, and the results showed a significant relationship between supply chain drivers and SMEs’ overall performance in Oman, except for supply chain inventory. The results have demonstrated that the COVID-19 pandemic has affected the SMEs’ supply chain drivers in Oman and, consequently, their overall performance.

Practical implications

The results of this research can drive the development and implementation of a supply chain management strategy. This research will help policymakers induce the performance of SMEs affected by the COVID-19 pandemic. It would further enhance strategic sourcing and supplier performance considering the developed practices associated with the resource-based view.

Originality/value

The originality of the current study lies in its ability to empirically test two models within the Omani SMEs context while considering the supply chain drivers as a single variable or dividing it into four separate independent variables. This study would provide a preview for scholars for such empirical investigation and serve as a reference for policymakers and practitioners to maintain a management system of crises that may protect the SME supply chain drivers.

Interception of Nickel Hydride Species and Its Application in Multicomponent Reactions

The hydrogen borrowing strategy is an economical method for the α-functionalization of ketones. While this strategy is extremely advantageous, it does not lend itself to the synthesis of β,β-disubstituted ketones. This can be achieved, if the in situ generated metal hydride can be intercepted with a nucleophilic coupling partner. We present a multicomponent strategy for the coupling of alcohols, ketones, and boronic acids using only 1 mol % nickel catalyst and without the need for added ligands.

Foreign Product Preference among Indian Consumers: The Role of Product Reviews, Word of Mouth and Quality of Shared Information

Decades post 1990 have seen rapid globalisation and technological advancement in the field of e-commerce, exposing consumers in emerging economies to an earlier unavailable wider range of foreign products and brands. Although the preference for both foreign and domestic products largely depends on consumer biases, studies show that shared information can influence consumer decision-making. This study aims to investigate the Indian consumers’ intentions towards foreign brands for apparel products. Using the theoretical foundation of the Theory of Planned Behaviour (TPB) and Social Exchange Theory (SET), the collected primary survey of 204 Indian consumers across a single product category (apparel) was analysed using Structural Equation Modelling (SEM). The study determined that both “product reviews” and “informal word-of-mouth” discussions have a positive and significant impact on consumer’s preference towards foreign brands. Further, the quality of information shared also plays a significant role in foreign brand preference. We also found evidence that an increase in income positively influences behaviour, however, the level of education has a negative influence. The findings of the study might serve as a roadmap for any foreign apparel brand looking to establish itself in an emerging market like India.

Potential Immunomodulatory Properties of Biologically Active Components of Spices Against SARS-CoV-2 and Pan β-Coronaviruses

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced COVID-19 has emerged as a defining global health crisis in current times. Data from the World Health Organization shows demographic variations in COVID-19 severity and lethality. Diet may play a significant role in providing beneficial host cell factors contributing to immunity against deadly SARS-CoV-2 pathogenesis. Spices are essential components of the diet that possess anti-inflammatory, antioxidant, and antiviral properties. Hyperinflammation, an aberrant systemic inflammation associated with pneumonia, acute respiratory failure, and multiorgan dysfunction, is a major clinical outcome in COVID-19. Knowing the beneficial properties of spices, we hypothesize that spice-derived bioactive components can modulate host immune responses to provide protective immunity in COVID-19. This study emphasizes that biologically active components of spices might alleviate the sustained pro-inflammatory condition by inhibiting the activity of tumor necrosis factor-alpha (TNF-α), interleukins (IL6, IL8), and chemokine (CCL2) known to be elevated in COVID-19. Spices may potentially prevent the tissue damage induced by oxidative stress and pro-inflammatory mediators during SARS-CoV-2 infection. The current study also highlights the effects of spices on the antioxidant pathways mediated by Nrf2 (nuclear factor erythroid 2-related factor 2) and Hmox1 (heme oxygenase 1) to restore oxidative homeostasis and protect from aberrant tissue damage. Taken together, the anti-inflammatory and antioxidant activities of bioactive components of spices may hold a promise to target the cellular pathways for developing antivirals against SARS-CoV-2 and pan β-coronaviruses.

C-H Alkylation of Aldehydes by Merging TBADT Hydrogen Atom Transfer with Nickel Catalysis

Catalyst controlled site-selective C-H functionalization is a challenging but powerful tool in organic synthesis. Polarity-matched and sterically controlled hydrogen atom transfer (HAT) provides an excellent opportunity for site-selective functionalization. As such, the dual Ni/photoredox system was successfully employed to generate acyl radicals from aldehydes via selective formyl C-H activation and subsequently cross-coupled to generate ketones, a ubiquitous structural motif present in the vast majority of natural and bioactive molecules. However, only a handful of examples that are constrained to the use of aryl halides are developed. Given the wide availability of amines, we developed a cross-coupling reaction via C-N bond cleavage using the economic nickel and TBADT catalyst for the first time. A range of alkyl and aryl aldehydes were cross-coupled with benzylic and allylic pyridinium salts to afford ketones with a broad spectrum of functional group tolerance. High regioselectivity toward formyl C-H bonds even in the presence of α-methylene carbonyl or α-amino/oxy methylene was obtained.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

First report of molecular and phylogenetic analysis of Physaloptera praeputialis in naturally infected stray cats from India

Nematodes of the genus Physaloptera are globally distributed and infect a multitude of hosts. Their life cycle involves orthopterans and coleopterans as intermediate hosts. The morphological characters alone are inadequate to detect and differentiate Physaloptera spp. from its congeners. Moreover, molecular studies are limited to compare them precisely. The present communication reports the first molecular phylogenetic characterization of feline Physaloptera spp. from India based on mitochondrial cytochrome c oxidase subunit 1 (COX1) and small subunit ribosomal DNA (18S rDNA). The nematodes were first isolated from the stomach of adult stray cats during necropsy examination. Based on the gross and microscopic characters, the worms were identified as P. praeputialis. Morphological identification was further confirmed through PCR targeting the barcode region of the mitochondrial cytochrome c oxidase subunit I (MT-COI) gene, using nematode-specific primers cocktail followed by species specific primers targeting partial COX1 and 18S rRNA genes. Generated sequences were submitted in NCBI GenBank (MW517846, MW410927, MW411349), and phylogenetic trees were constructed using the maximum likelihood method. When compared with other sequences of Physaloptera species across the globe, the present isolates showed 85.6-97.7% and 97.3-99% nucleotide homology based on COX1 and 18S rRNA gene, respectively. BLASTn analysis revealed a strong identity to other Physaloptera spp., and the phylogenetic tree placed all Physaloptera spp. in the same cluster. This study again indicates the usefulness of molecular techniques to substantiate the identity of species that may lack adequate descriptions and impart new insight for the potentially overlooked significance of P. praeputialis infections in felines.

Knowledge hiding in academia: an empirical study of Indian higher education students

Purpose

This study aims to investigate the role of knowledge hiding (KH) on academic performance, using three antecedents – relatedness with peers, territoriality of knowledge and performance motivation. It also looked into the moderating role of academic self-efficacy upon student’s KH behavior and academic performance. The research was grounded on the theory of reasoned action.

Design/methodology/approachx

Structural equation modeling (SEM) was used to analyze the five hypotheses. The data was collected through a primary survey based on a structured questionnaire with a sample size of 324 students from the Indian higher education institutions.

Findings

The study found that performance motivation and territoriality are positively associated with KH, which is further positively related to students’ academic performance. Sense of relatedness had no influence upon KH behavior, implying that proximity of social relationships does not predict KH behavior among students. Additionally, it was also observed that while evasive (a situation where the knowledge hider deliberately provides incorrect, partial or misleading information) and rationalized KH (a situation where the knowledge hider tries to provide a rational justification for not sharing the knowledge) had a significant influence on the academic performance of the students, the effect of “playing dumb” was not significant. The study did not reveal any moderating effect of academic self-efficacy on all three forms of KH and academic performance.

Practical implications

The findings of the study are expected to be valuable for instructors, administrative authorities and policymakers at the higher education level, to create a more conducive teaching and learning environment. Out of the three hiding strategies, students indulge more often in rationalized KH. Based on the outcomes of this research, management may focus toward the creation of an institutional environment conducive toward knowledge sharing interdependency among students.

Originality/value

One of the novel contributions of this study is that it analyzes Indian higher education, providing a developing country perspective, thereby contributing to the body of knowledge in knowledge management and hiding. The study also intends to understand the interplay of constructs such as KH, territoriality, sense of relatedness and academic performance, which have not been discussed previously within the higher education context, thus making the research work original. The study was done among the students and hence, brings in the academic perspective in the KH literature, which has seen limited research impetus.

“WHAT’S FOREIGN IS BETTER”: A FUZZY AHP ANALYSIS TO EVALUATE FACTORS THAT INFLUENCE FOREIGN PRODUCT CHOICE AMONG INDIAN CONSUMERS

Emerging economies across the globe have observed drastic changes in consumer purchasing behavior in the last three decades. This has been attributed to rapid globalization, coupled with technological advancement that has led to consumer affinity towards foreign brands. In this paper an attempt has been made to understand this affinity towards foreign brands across product categories. We used the Fuzzy Analytic Hierarchy Process to evaluate the factors that influence foreign product purchasing behavior among Indian consumers. A set of five important influencing factors were identified and responses from over 100 Indian consumers were collected across five product categories (automobiles, home appliances, apparel, cosmetics and watches). It was found that for apparel, watches and cosmetics, perceived quality of the brand/product was the most valued attribute. Whereas, for home appliances the country of origin mattered the most, and for watches perceived quality as well as country of manufacture were equally important. The findings of this study will help shape marketing strategies for foreign brands trying to make inroads or gain market share in emerging markets like India

GW190521: A Binary Black Hole Merger with a Total Mass of 150 M_{⊙}

On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio of 14.7, and an estimated false-alarm rate of 1 in 4900 yr using a search sensitive to generic transients. If GW190521 is from a quasicircular binary inspiral, then the detected signal is consistent with the merger of two black holes with masses of 85_{-14}^{+21}  M_{⊙} and 66_{-18}^{+17}  M_{⊙} (90% credible intervals). We infer that the primary black hole mass lies within the gap produced by (pulsational) pair-instability supernova processes, with only a 0.32% probability of being below 65  M_{⊙}. We calculate the mass of the remnant to be 142_{-16}^{+28}  M_{⊙}, which can be considered an intermediate mass black hole (IMBH). The luminosity distance of the source is 5.3_{-2.6}^{+2.4}  Gpc, corresponding to a redshift of 0.82_{-0.34}^{+0.28}. The inferred rate of mergers similar to GW190521 is 0.13_{-0.11}^{+0.30}  Gpc^{-3} yr^{-1}.

Firms’ Reputation for Innovation: Role of Marketing Capability, Innovation Capability, and Knowledge Sharing

In the current day competitive business environment, continuous innovation has become a central strategy for most firms. The ability to achieve continuous innovation has been observed to facilitate the growth and profitability of a firm. Innovation can not only lead to new customers and market segments, but it also enables firms to develop a reputation for being innovative. In today’s world of fast-changing preferences and trends, such a reputation for a firm is likely to considerably add to its brand equity and growth prospects. The current study investigates the role of knowledge sharing, innovation capability, and marketing capability in a firm’s reputation for innovation. A set of hypotheses were developed to analyse these relationships using structural equation modelling (SEM). The data were collected from seventy-five (75) senior executives spanning across five different industries in the Indian service and manufacturing sector. The findings of the study indicated that a firm’s reputation for innovation is influenced by factors like innovation capability, which in turn is an outcome of tacit and explicit knowledge sharing within the firm. Further, marketing capability plays a positively moderating role between innovation capability and the firm’s reputation for innovation. Overall, the study highlights that the innovation capability of a firm is a result of tacit and explicit knowledge sharing inside the firm. However, such innovation capability alone is not sufficient for a firm to be viewed as “innovative”. The firm must develop and use appropriate marketing and knowledge management capabilities to highlight such an innovative nature of the firm in order to be viewed as innovative in the market.

Thenar lumps: a review of differentials

Most soft-tissue lumps in the hand are benign, with ganglions being the commonest, but in the thenar region, solid soft-tissue masses are more common than a ganglion. In this review, we focus on soft-tissue lesions (neoplastic and non-neoplastic) presenting as a palpable lump in this region. A specific diagnosis can often be reached using ultrasonography and/or magnetic resonance imaging. Most of these lesions are managed in local hospitals or primary care, whereas some are referred to specialist centres. This review article will help both general and musculoskeletal radiologists to diagnose and characterise these lesions, provide a guide for further imaging, and provide an insight into imaging features that may need specific investigations such as core biopsy, tertiary referral, and further review at multidisciplinary meetings.

A Decision-making Model for Supplier Selection in Indian Pharmaceutical Organizations

Supplier selection is the process by which firms identify, evaluate and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm’s operational and financial resources and is considered as an important determinant of the success of its supply chain. In spite of being strategically important to organizations, the decision for supplier selection is often complex and unstructured. Furthermore, it is inherently a multi-criterion decision-making (MCDM) problem, which pertains to structuring and solving decision problems involving multiple criteria. The paper provides a framework to analyze and evaluate supplier selection in Indian pharmaceutical sector (IPS) using MCDM technique of fuzzy analytic hierarchy process. It intends to improve managerial decision-making in the IPS in developing a supplier selection strategy based on multi-criteria evaluation technique.

N-end rule pathway inhibitor sensitizes cancer cells to antineoplastic agents by regulating XIAP and RAD21 protein expression

Anticancer drugs exert their effects on cancer cells by deregulating many pathways linked to cell cycle, apoptosis, etc. but cancer cells gradually become resistive against anticancer drugs, thereby necessitating the development of newer generation anticancer molecules. N-end rule pathway has been shown to be involved in the degradation of many cell cycle and apoptosis-related proteins. However, the involvements of this pathway in cancer are not well established. Recently, we developed a non-peptide-based N-end rule pathway inhibitor, RF-C11 for type 1 and 2 recognition domains of E3 ubiquitin ligases. The inhibitor significantly increased the half-life of potential N-degrons leading to significant physiological changes in vivo. We hypothesized RF-C11 may be used to decipher the N-end rule pathway's role in cancer towards the development of anticancer therapeutics. In this study, we showed that RF-C11, barring noncancer cells, significantly sensitizes cancer cells towards different anticancer agents tested. We further find that the profound cellular sensitization to anticancer drugs was affected by (a) downregulation of X-linked inhibitor of apoptosis protein, an antiapoptotic protein and (b) by stabilization of RAD21, and thereby inhibiting metaphase to anaphase promotion. The study shows that RF-C11 or its analogs may be used as a novel additive in combination therapy against cancer.

Evaluating the role of social capital, tacit knowledge sharing, knowledge quality and reciprocity in determining innovation capability of an organization

Purpose

Knowledge sharing has become an integral part of organizations’ business strategies, along with aiding organizations to grow and innovate in the market, and gain competitive advantage. This paper aims to concentrate on the role of tacit knowledge sharing in fostering innovation capability of an organization. Specifically, the study considers social capital (relational, cognitive and structural) as an important precursors to tacit knowledge sharing, which in turn, influences innovation capability of an organization. The study further discusses the role that knowledge reciprocation plays in successful tacit knowledge sharing. The relation between knowledge quality and innovation capability is also discussed in the paper.

Design/methodology/approach

The investigation started with a review of extant literature in the field of knowledge sharing and innovation to derive a set of constructs. A set of hypotheses was developed based on the identified constructs, which was subsequently validated through a primary survey based on a structured questionnaire on a sample size of 190 respondents from the Indian industrial domain. The survey responses were subsequently analysed using the statistical technique of structural equation modeling and conclusions were drawn from the findings. Additionally, careful attention was paid in eliminating the common method bias, which is often associated with a primary survey.

Findings

A set of six hypotheses were derived based on the identified constructs and were subsequently validated. While validating the hypotheses, it was observed that while knowledge reciprocity, relational social capital and cognitive social capital was positive associated with tacit knowledge sharing, structural social capital did not have a significant effect on the same. Additionally, it was also observed that both tacit knowledge sharing and the quality of knowledge were positively associated with innovation capability.

Practical implications

The present day business marked by intense competition requires firms to be more aware of their innovative capabilities. Effective sharing of knowledge or information can be deemed as a vital component in achieving this objective. Organizations that practice and nurture innovation activities can use the findings of the current study as a part of their knowledge management strategy. In addition to using the explicit knowledge, which are structured in nature, organizations can also start using tacit knowledge to harness their innovation potential – and the findings from the current study can act as a motivational tool for them to do so.

Originality/value

Although there is a growing body of literature concerning the role of knowledge management in innovation, there still a dearth in discussing the role of tacit knowledge sharing in exploiting the innovation capability of an organization. The main discussion of this paper brings together a set of important constructs that exhibits the significant role that tacit knowledge sharing plays in determining the innovation capability of an organization. Furthermore, it tries to marry the concepts of social capital and tacit knowledge sharing with innovation capability, therefore adding significantly to the body of literature in knowledge management as well as innovation.

EVALUATING SUPPLY CHAIN RESILIENCY STRATEGIES IN THE INDIAN PHARMACEUTICAL SECTOR: A FUZZY ANALYTIC HIERARCHY PROCESS (F-AHP) APPROACH

Over the years, aggressive competition and globalization have resulted in tremendous progress in the development and management of supply chains. There are many high-performing supply chains that have benefitted from globalization. However, globalization of supply chains has also resulted in exposure to increased risks and frequent disturbances at various stages. One way to address these disturbances is to make supply chains resilient in nature. This paper identifies and prioritizes a set of important resiliency strategies for supply chains using the Fuzzy Analytic Hierarchy Process (F-AHP). Responses from 23 experts from the Indian pharmaceutical sector have been analyzed. We found that supply chain agility, visibility, and collaboration were the three most important resiliency strategies that a pharmaceutical organization should follow to address the vulnerability within their supply chain. The findings will serve the supply chain managers and the policymakers in designing resilient supply chains through the better understanding of strategies and formulation of action plans, while also introducing MCDM techniques into resiliency studies.

Angiogenic Host Defense Peptide AG-30/5C and Bradykinin B2 Receptor Antagonist Icatibant Are G Protein Biased Agonists for MRGPRX2 in Mast Cells

AG-30/5C is an angiogenic host defense peptide that activates human mast cells (MC) via an unknown mechanism. Using short hairpin RNA-silenced human MC line LAD2 and stably transfected RBL-2H3 cells, we demonstrate that AG-30/5C induces MC degranulation via Mas-related G protein-coupled receptor X2 (MRGPRX2). Most G protein-coupled receptors signal via parallel and independent pathways mediated by G proteins and β-arrestins. AG-30/5C and compound 48/80 induced similar maximal MC degranulation via MRGPRX2, which was abolished by pertussis toxin. However, compound 48/80 induced a robust β-arrestin activation as determined by transcriptional activation following arrestin translocation (Tango), but AG-30/5C did not. Overnight culture of MC with compound 48/80 resulted in reduced cell surface MRGPRX2 expression, and this was associated with a significant decrease in subsequent MC degranulation in response to compound 48/80 or AG-30/5C. However, AG-30/5C pretreatment had no effect on cell surface MRGPRX2 expression or degranulation in response to compound 48/80 or AG-30/5C. Icatibant, a bradykinin B₂ receptor antagonist, promotes MC degranulation via MRGPRX2 and causes pseudoallergic drug reaction. Icatibant caused MC degranulation via a pertussis toxin-sensitive G protein but did not activate β-arrestin. A screen of the National Institutes of Health Clinical Collection library led to the identification of resveratrol as an inhibitor of MRGPRX2. Resveratrol inhibited compound 48/80-induced Tango and MC degranulation in response to compound 48/80, AG-30/5C, and Icatibant. This study demonstrates the novel finding that AG-30/5C and Icatibant serve as G protein-biased agonists for MRGPRX2, but compound 48/80 signals via both G protein and β-arrestin with distinct differences in receptor regulation.

Comparison of Germline versus Somatic BAP1 Mutations for Risk of Metastasis in Uveal Melanoma

BACKGROUND

Germline mutations in BAP1 have been associated with BAP1-Tumor Predisposition Syndrome (BAP1-TPDS), a predisposition to multiple tumors within a family that includes uveal melanoma (UM), cutaneous melanoma, malignant mesothelioma and renal cell carcinoma. Alternatively, somatic mutations in BAP1 in UM have been associated with high risk for metastasis. In this study, we compare the risk of metastasis in UM that carry germline versus somatic BAP1 mutations and mutation-negative tumors.

METHODS

DNA extracted from 142 UM and matched blood samples was sequenced using Sanger or next generation sequencing to identify BAP1 gene mutations.

RESULTS

Eleven of 142 UM (8%) carried germline BAP1 mutations, 43 (30%) had somatic mutations, and 88 (62%) were mutation-negative. All BAP1 mutations identified in blood samples were also present in the matched UM. There were 52 unique mutations in 54 tumors. All were pathogenic or likely pathogenic. A comparison of tumors carrying somatic vs. germline mutations, or no mutations, showed a higher frequency of metastasis in tumors carrying somatic mutations: 74% vs. 36%, P=0.03 and 74% vs. 26% P<0.001, respectively. Tumors with a somatic mutation compared to mutation-negative had an older age of diagnosis of (61.8 vs. 52.2 years, P=0.002), and shorter time to metastasis (16 vs. 26 months, P=0.04). Kaplan-Meier analysis further showed that tumors with somatic (vs. germline) mutations demonstrated a greater metastatic risk (P=0.03). Cox multivariate analysis showed in addition to chromosome-3 monosomy and larger tumor diameter, the presence of BAP1 somatic, but not germline mutations, was significantly associated with risk of metastasis(P=0.02). Personal or family history of BAP1-TPDS was available for 79 of the cases. All eight cases with germline mutations reported a history of BAP1-TPDS, which was significantly greater than what was observed in cases with somatic mutations (10 of 23, P=0.009) or mutation-negative cases (11 of 48, P<0.001).

CONCLUSIONS

Defining germline vs. somatic nature of BAP1 mutations in UM can inform the individual about both the risk of metastasis, and the time to metastasis, which are critically important outcomes for the individual. This information can also change the cascade screening and surveillance of family members.

On the making of aromatic organometallic superalkali complexes

First principle calculation on Au₃(Py)₃ and Au₃(IMD)₃ systems shows that they are superalkali and exhibit good nonlinear optical property.

Ceramide and Sphingosine-1-Phosphate in Cell Death Pathways : Relevance to the Pathogenesis of Alzheimer's Disease

The metabolic turnover of sphingolipids produces several signaling molecules that profoundly affect the proliferation, differentiation and death of cells. In particular, an enormous body of information is available that defines the varied role of ceramide and sphingosine-1-phosphate in cell death and survival. This review specifically examines the role of ceramide and sphingosine-1- phosphate in triggering neuronal death in Alzheimer's disease by analyzing the data from post-mortem studies and experimental research. There is compelling evidence that ceramide plays a key role in the neurodegeneration and amyloidogenesis occurring in the brain in Alzheimer's disease. Further, it appears that ceramide and amyloid beta protein orchestrate an attack on mitochondria to set in the pathways of cell death. However, the complexity of metabolic and signaling pathways of sphingolipid derivatives precludes an immediate identification of effective drug targets for the therapy of Alzheimer's disease.

Evaluating the effects of supply chain quality management on food firms’ performance

Purpose

The purpose of this paper is to identify the two kinds of supply chain quality management (SCQM) capabilities: intra-SCQM and inter-SCQM, and explore the effect of intra- and inter-food SCQM on food safety and quality, and the effect of food SCQM on domestic and export performance through food certification and corporate reputation.

Design/methodology/approach

Secondary data on food selling or processing firms in Western China were collected to test all the hypotheses. The data were then analyzed using the statistical technique of stepwise regression and inference was drawn based on the result.

Findings

Through utilizing secondary data sources, it is found that intra-SCQM promotes sales in domestics market with mediating role of corporate reputation, while the realization of overseas performance depend both on intra- and inter-SCQM with mediating role of food certification.

Practical implications

The paper study on food supply chain quality problem, the suggested approaches can be easily realized by agro-food companies to achieve international competitiveness by implementing both intra- and inter-SCQM. Meanwhile to Chinese domestic companies, it is important to strengthen inter-SCQM and food certification in order to achieve competitive advantage.

Originality/value

Review of literature indicated that there is a dearth of open literature that discusses food safety from the perspective of inter- and intra-organizational management. Furthermore, it was also observed that there has been no study that has taken the safety signaling perspective. The current research tires to shed some light on this important, but sparely discussed issue.

Association of heat stress protein 90 and 70 gene polymorphism with adaptability traits in Indian sheep (Ovis aries)

Heat stress proteins assist cellular proteins in the acquisition of native structure. The present research was conducted to study how thermo-tolerance is modulated by HSP90 and HSP70 gene polymorphism and its association with hemato-physio-biochemical parameters, supported by their expression profiles in Chokla, Magra, Marwari, and Madras Red sheep breeds. Least square analysis revealed significant effect (P < 0.05) of season and breed on all the physiological parameters, i.e., temperature, respiratory rate, and pulse rate (a.m. and p.m.), as well as hematological parameters like Hb, packed cell volume, total erythrocyte count (TEC), neutrophil/lymphocyte (N/L) ratio, and total leukocyte count (TLC). There was a significant influence (P < 0.05) of breed on biochemical parameters such as glucose, SGOT, phosphorous, triglyceride, and cholesterol. Eight fragments were amplified and sequenced in HSP90, and 70 genes and 13 single-nucleotide polymorphisms (SNPs) were identified. Tetra-primer amplification refractory mutation system PCR, PCR-RFLP, and allele-specific PCR genotyping protocols were developed for large-scale genotyping of five SNPs. A significant difference (P < 0.05) of rectal temperature (a.m.), respiratory rate (p.m.), triglyceride, and total protein was observed at SNP01; albumin at SNP2; pulse rate (p.m.) at SNP3; and rectal temperature (p.m.), pulse rate (p.m.), Hb (g/dL), and N/L ratio at SNP4 and TLC at SNP5. Gene expression analysis revealed higher expression in less adapted animals with Madras Red < Magra < Chokla < Marwari expression pattern [corrected]. Predominant allele was found to be superior in most of the SNPs (SNP1-4) indicating the selection acting in directional manner (positive selection). Finally, it is concluded that TACCA haplotype combination of SNP1-SNP2-SNP3-SNP4-SNP5 might be of some selection advantage for the identification of animals more adaptable to heat stress.

Thyroid dysfunctions and renal status: implications in hyponatremia

Background: Hypothyroidism is a common endocrine disorder which has been linked to the development of hyponatremia. However, the data supporting the development of hyponatremia is inadequate and confusing.Aims and Objectives: Therefore this study was conducted to investigate an association between hypothyroidism and hyponatremia and to correlate it with other related parameters like renal function status.Material and Methods: Retrospective analysis of laboratory records of one hundred fifty individuals with TSH level above the normal served as cases and one hundred fifty one individuals with normal TSH served as controls.Results: Hyponatremia(<135mEq/L) was observed in only twenty-one percent of cases of hypothyroidism. Although patients of hypothyroidism had a significantly lower sodium levels than controls, this was not evident with severity of disease. A high creatinine level evident in the overt cases did not affect the sodium level, although the chloride level was reduced.Conclusion: The present study showed that hyponatremia is not a commonly associated with hypothyroidism and screening for hyponatremia is not essential  in such patients.Asian Journal of Medical Sciences Vol.8(4) 2017 6-10

The Role of Marketing Strategies in Successful Disruptive Technologies

A disruptive technology (DT) is defined as an emerging technology whose arrival in the marketplace signifies the eventual displacement of the dominant technology in that sector. A potential DT can also facilitate the creation of new markets previously untapped or unserved by the existing products/services to address the unmet need. The identification and commercial success of a potential DT lie in understanding the market in terms of consumer behavior, developing new products/services, and subsequently developing innovative marketing strategies to promote them effectively to the target market. The purpose of this paper is to propose a set of strategies that might aid an organization to successfully market a DT (or a DT-intensive product/service). The proposed strategies are subsequently prioritized based upon empirical studies to determine their relative criticality for successful launch and sustenance of such products/services. The contribution of this paper to the domain of high-technology marketing is two-fold. First, the research conducted is expected to further socialize the notion that DT is unique among the marketing practitioners. Second, the proposed strategies along with their relative criticality will provide a set of guidelines to the decision-makers in the field of technology and marketing to gain a better understanding of DT marketing, which is fast gaining ground in an ever-intensifying competitive marketplace.

Using Statistical Forecasting to Optimize Staff Scheduling in Healthcare Organizations

Modern-day business environment of healthcare organizations demands the maximization of operational effectiveness and quality with optimal cost. Therefore, healthcare executives are often required to make difficult decisions based on subjective experience and judgement. An example of such a decision is scheduling of resources to fulfil demand for service. The effective use of statistical forecasting can lead to better personnel scheduling decisions based on estimates of patient arrival rates, resulting in improvement in quality of service as well as reduction of cost.

The purpose of this article is to demonstrate the typical steps involved in applying forecasting techniques in patient care: This demonstration involves use of statistical techniques like Analysis of Variance (ANOVA) to identify factors driving demand, and Auto Regressive Integrated Moving Average (ARIMA) to develop a forecasting model for optimal staff scheduling in healthcare organizations based on patient arrival rates. The models are developed and subsequently tested on a set of real data gathered from a regional hospital located in the US. Statistically significant difference in average patient count was found among different days of the week. The findings of the research suggests that resources like cleaning personnel can be better utilized by allocating different proportions of resources to different parts of the week, based on the understanding of different patient load over these time periods.