Magnetic response of core-shell cobalt ferrite nanoparticles at low temperature

Cobaltferritenanoparticles (size: 26±4nm) have been synthesized by coprecipitation route. The coercivity of nanoparticles follows a simple model of thermal activation of particle moments over the anisotropy barrier in the temperature range of 30–300K in accordance with Kneller’s law; however, at low temperatures

Green or Greenwashed? Examining Brand Loyalty and Consumer Behavior Towards Eco-Friendly Cosmetics

Masteroppgave(MSc) in Master of Science in Strategic Marketing Management - Handelshøyskolen BI, 2024This master thesis studies consumers' desire to investigate greenwashing and how greenwashing awareness, knowledge, interest, brand loyalty, and beliefs about potential trade-offs when choosing a green product impact, the consumer's desire to investigate greenwashing. This thesis addresses the need for more examination in the greenwashing literature of consumer acceptance of greenwashing by their favourite brands. This factor could minimize the risks associated with greenwashing. The mediating effect of green ad scepticism is also considered. The existing greenwashing literature lacks studies testing consumers' concerns about greenwashing performed by their favourite brands. Brand loyalty might be one factor affecting consumers' reactions to greenwashing, thus it is important to investigate brand loyalty as one of the factors that might reduce the risks associated with greenwashing. This quantitative research was done through an online survey. The participants took part in an experiment where greenwashing was manipulated through an article stating that greenwashing was either performed by their favourite brand or by cosmetic brands in general, after the manipulation respondents were asked how likely they would be to investigate the advertisement of their favourite brand/general cosmetic brand after seeing it, measuring their desire to investigate greenwashing. This study did not reveal any significant differences between the two groups. However green ad scepticism was shown to affect consumers’ willingness to investigate greenwashing claims. These findings as well as future research recommendations will be discussed later in more depth

Evaluation of efficacy and safety of doxofylline 800mg sustained release tablet in treatment of patients with COPD: an open label, prospective and RCT

Background: COPD is a major cause of health care burden worldwide and leading cause of death that is increasing in prevalence. Methylxanthines are used in the treatment of patients with asthma and COPD. Doxofylline (methylxanthine) shows improved disease control, reduced total daily dose of inhaled b2 agonists and improved patient compliance.Methods: This was a prospective, open labelled, randomized, two-arm, parallel group, controlled, clinical trial. 115 patients were randomized to two groups. Patients in group A received tablet doxofylline 400mg BD whereas patients in group B received tablet doxofylline 800mg SR for 4 weeks. Primary outcome measure of trial was change in FEV1 and secondary outcome measure were change in FVC/FEV1, change in symptoms score, effect on health-related quality of life (HRQOL) and safety of study medication.Results: At 4 week the FEV1increase by 13.028% and 17.647% in group A and B respectively. In group A FEV1/FVC increase by 5.79% and in group B it increases by 9.57% at 4 weeks. The symptom score of cough decrease by 77.35% and 97.43% in group A and group B respectively at 4 weeks. In group A shortness of breath decrease by 77.60% and in group B it decreases by 95.90% at 4 weeks. Tightness in chest decrease by 86.29% and 98.40% in group A and group B respectively at 4 weeks.Conclusions:Doxofylline 800mg sustained release tablet provided significantly greater improvement in FEV1, symptomatic control and health related quality of life compared to doxofylline 400mg.

Evaluation of efficacy and tolerability of eperisone and thiocolchicoside in treatment of low back pain associated with muscle spasm: An open label, prospective, randomized controlled trial

Background: Low back pain has a high prevalence in adult population. Because of reflex muscle spasm, muscle relaxants are frequently used either alone or in combination with analgesics. Eperisone inhibits voltage gated sodium channels in brain stem and Thiocolchicoside acts via GABA-mediated mechanism to relax muscle spasm and relieves pain.Methods: This was a prospective; open labeled, randomized, two-arm, parallel group, controlled, clinical trial. 113 patients were randomised to two groups. Patients in group A received Tablet Eperisone 100 mg whereas patients in group B received Tablet Thiocolchicoside 8 mg for seven days along with Tablet Paracetamol 500 mg. The outcome measures of trial were the improvement in finger to floor distance (FFD) and pain in lumbar region, relief of spasm and tenderness of paravertebral muscles on day 4 and 7.Results: At the end of the study FFD reduced by 18 cm in group A (p < 0.0001*) and 17.36 cm in group B (p<0.0001*) from baseline. Mean score of pain on day 7 reduced by 5.64 scale in group A as compared to 5.42 scale in group B (p<0.0001* in both groups). Paravertebral tenderness reduced by 92.6% in group A and 94.6% in group B at the end of the trial. On day 7, the spasm relief was 87% in group A and 88% in group B.Conclusions: Eperisone is an effective muscle relaxant with equivalent efficacy compared to Thiocolchicoside, and has a better tolerability in treatment of low back pain with muscle spasm

Factors associated with diversity, quantity and zoonotic potential of ectoparasites on urban mice and voles

Wild rodents are important hosts for tick larvae but co-infestations with other mites and insects are largely neglected. Small rodents were trapped at four study sites in Berlin, Germany, to quantify their ectoparasite diversity. Host-specific, spatial and temporal occurrence of ectoparasites was determined to assess their influence on direct and indirect zoonotic risk due to mice and voles in an urban agglomeration. Rodent-associated arthropods were diverse, including 63 species observed on six host species with an overall prevalence of 99%. The tick Ixodes ricinus was the most prevalent species, found on 56% of the rodents. The trapping location clearly affected the presence of different rodent species and, therefore, the occurrence of particular host-specific parasites. In Berlin, fewer temporary and periodic parasite species as well as non-parasitic species (fleas, chiggers and nidicolous Gamasina) were detected than reported from rural areas. In addition, abundance of parasites with low host-specificity (ticks, fleas and chiggers) apparently decreased with increasing landscape fragmentation associated with a gradient of urbanisation. In contrast, stationary ectoparasites, closely adapted to the rodent host, such as the fur mites Myobiidae and Listrophoridae, were most abundant at the two urban sites. A direct zoonotic risk of infection for people may only be posed by Nosopsyllus fasciatus fleas, which were prevalent even in the city centre. More importantly, peridomestic rodents clearly supported the life cycle of ticks in the city as hosts for their subadult stages. In addition to trapping location, season, host species, body condition and host sex, infestation with fleas, gamasid Laelapidae mites and prostigmatic Myobiidae mites were associated with significantly altered abundance of I. ricinus larvae on mice and voles. Whether this is caused by predation, grooming behaviour or interaction with the host immune system is unclear. The present study constitutes a basis to identify interactions and vector function of rodent-associated arthropods and their potential impact on zoonotic diseases

Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems

This paper presents a low-cost PV current-voltage or I-V curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the I-V tracer, which is able to cope with rapidly changing irradiation conditions. The I-V tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the I-V curve tracer is evaluated and verified using simulation and experimental tests

Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator

Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when the data covariance matrix is ill-conditioned. This often occurs when the feature space's dimensionality is higher than or comparable to the training data size. Regularized LDA (RLDA) methods based on regularized linear estimators of the data covariance matrix have been proposed to cope with such a situation. The performance of RLDA methods is well studied, with optimal regularization schemes already proposed. In this paper, we investigate the capability of a positive semidefinite ridge-type estimator of the inverse covariance matrix that coincides with a nonlinear (NL) covariance matrix estimator. The estimator is derived by reformulating the score function of the optimal classifier utilizing linear estimation methods, which eventually results in the proposed NL-RLDA classifier. We derive asymptotic and consistent estimators of the proposed technique's misclassification rate under the assumptions of a double-asymptotic regime and multivariate Gaussian model for the classes. The consistent estimator, coupled with a one-dimensional grid search, is used to set the value of the regularization parameter required for the proposed NL-RLDA classifier. Performance evaluations based on both synthetic and real data demonstrate the effectiveness of the proposed classifier. The proposed technique outperforms state-of-art methods over multiple datasets. When compared to state-of-the-art methods across various datasets, the proposed technique exhibits superior performance.Comment: \c{opyright} 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work

Improving Decision Support Systems with Machine Learning: Identifying Barriers to Adoption

Precision agriculture (PA) has been defined as a “management strategy that gathers, processes and analyzes temporal, spatial and individual data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production.” This definition suggests that because PA should simultaneously increase food production and reduce the environmental footprint, the barriers to adoption of PA should be explored. These barriers include: 1) the financial constraints associated with adopting DSS, 2) the hesitancy of farmers to change from their trusted advisor to a computer program often behaves as a black box, 3) questions about data ownership and privacy, and 4) the lack of a trained workforce to provide the necessary training to implement DSSs on individual farms. This paper also discusses the lessons learned from successful and unsuccessful efforts to implement DSSs, the importance of communication with end-users during DSS development, and potential career opportunities that DSSs are creating in PA