Publication trends in journal of clinical and experimental dentistry

Journal of Clinical and Experimental Dentistry (J Clin Exp Dent; JCED) is an English language journal published by the Spanish Society of Oral Surgery, and has been online since 2009. It is indexed in PubMed Central and Scopus since 2012, with monthly publications since 2016. The purpose of this article was to review and analyse the publications in this journal since its inception, over a period of 11 years (2009-2019). This paper assessed the number, type and subjects of the articles published in the journal over 11 years. The institutions of the first authors, number of PubMed citations and the Hirsch (h5) index was assessed and analysed. The manuscripts published in JCED have gradually increased over the years, with Original research articles accounting for the bulk of contributions. The journal publishes articles mainly from the subjects of Oral Pathology and Operative Dentistry and Endodontics. Articles published in JCED are indexed in PubMed Central (since 2012), Scopus, DOI system, and Google Scholar. A country-wise mapping of the (first) author?s institutions revealed significant contributions from researchers from all over the world. With an h5 index of 26, the journal was ranked among the top six multispeciality journals. The most cited articles were the literature reviews on common oral lesions (recurrent apthous stomatitis and candidiasis). The journal has contributed to the growth of scientific literature pertaining to subjects from all the fields of dentistry. Over the past 11 years, JCED has served as a platform for large number of manuscripts in all the disciples of dentistry, from researches all over the world

An Encoder-Decoder Approach for Packing Circles

The problem of packing smaller objects within a larger object has been of interest since decades. In these problems, in addition to the requirement that the smaller objects must lie completely inside the larger objects, they are expected to not overlap or have minimum overlap with each other. Due to this, the problem of packing turns out to be a non-convex problem, obtaining whose optimal solution is challenging. As such, several heuristic approaches have been used for obtaining sub-optimal solutions in general, and provably optimal solutions for some special instances. In this paper, we propose a novel encoder-decoder architecture consisting of an encoder block, a perturbation block and a decoder block, for packing identical circles within a larger circle. In our approach, the encoder takes the index of a circle to be packed as an input and outputs its center through a normalization layer, the perturbation layer adds controlled perturbations to the center, ensuring that it does not deviate beyond the radius of the smaller circle to be packed, and the decoder takes the perturbed center as input and estimates the index of the intended circle for packing. We parameterize the encoder and decoder by a neural network and optimize it to reduce an error between the decoder's estimated index and the actual index of the circle provided as input to the encoder. The proposed approach can be generalized to pack objects of higher dimensions and different shapes by carefully choosing normalization and perturbation layers. The approach gives a sub-optimal solution and is able to pack smaller objects within a larger object with competitive performance with respect to classical methods

Understanding the Influence of Utilitarian and Hedonic Factors on Buying Behaviour of Gen Y while Purchasing Smartphones

The paper focuses on the influence of utilitarian and hedonic factors on the buying behaviour of the Gen Y consumers while purchasing smartphones. The researcher has followed a mixed method approach for the research with a descriptive research design. Primary data was collected through a survey that was conducted with 450 participants which consisted of teenagers and adults aged between 16-30 years. This collected data was then quantified using mathematical tools to come to a conclusion. Secondary data was collected from online published research articles and convenience. The influence of both these factors have a different sense of impact on every individual in the buying process, but post analysis, utilitarian factors gained primacy over hedonic factors

Band Gap Tuning of DC Reactively Sputtered ZnON Thin Films

Zinc oxynitride (ZnO$_x$N$_y$) has recently emerged as a highly promising band gap-tunable semiconductor material for optoelectronic applications. In this study, a novel DC reactive sputtering protocol was developed to fabricate ZnO$_x$N$_y$ films with varying elemental concentrations, by precisely controlling the working pressure. The band gap was rigorously analyzed using UV-Visible spectroscopy, which was complemented by EDAX spectroscopy to determine the variations in the elemental composition. The correlation between the microstructure and band gap was investigated through the application of AFM, XRD, and Raman spectroscopy, while the Urbach theorem was used to evaluate the defect states. This study revealed the existence of intermediate structures formed during the tuning of the band gap, which can have important implications for future research aimed at developing heterostructures and 2D superlattices for photonics applications

Experimental and Numerical Investigation of Post-Flutter Limit Cycle Oscillations on a Cantilevered Flat Plate

Futuristic aircraft designs and novel aircraft such as High Altitude Long Endurance (HALE) involve a higher level of structural flexibility than in conventional aircraft. Even at present, the trends in the aviation industry are to increase wing length (to reduce induced drag) and maxi- mize use of composites, which lead to increased structural flexibility. This necessitates a rethink of conventional (linear) aeroelastic analysis, since the increased flexibility results in coupling between the flight dynamic and aeroelastic dynamics, and consequently, limit-cycle oscillations of the structure. In this paper, a new three-dimensional low-order model for unsteady aerody- namics that accounts for large oscillation amplitudes and nonplanar wakes is developed. An experiment with a cantilevered flat plate at low Reynolds number is set up and used to validate the low-order model, as well as to study post-flutter limit-cycle oscillations. Results from the low-order model are promising, but show that aerodynamic nonlinearities such as flow sepa- ration and leading-edge vortex shedding must also be modeled in order to predict all possible limit-cycle oscillations of the aeroelastic system

ChatGPT on ChatGPT: An Exploratory Analysis of its Performance in the Public Sector Workplace

This study explores the impact of Generative Artificial Intelligence (GenAI), in particular, ChatGPT, on the public sector workforce in the United States, focusing on task replacement, assistance potential, and the evolving landscape of skills. Utilizing GPT-4 to evaluate 1,022 core tasks across 51 public sector occupations, we provide an exploratory analysis of the roles susceptible to ChatGPT automation and those in which ChatGPT can augment human efforts. Our findings reveal that while 63% of tasks are resistant to ChatGPT replacement, primarily due to their requirement for physical presence, emotional intelligence, and complex decision-making, tasks that are routine, rule-based, and involving basic content generation show a high potential for automation. The study also identifies key skills that will remain vital, those likely to become obsolete, and new skills that will emerge as essential, highlighting the need for a strategic approach to workforce development in the face of AI advancements. In particular, our findings underscore the growing importance of skills in applying AI technologies and the ability to validate and interpret AI-generated content for humans to remain competitive. We offer insights into public-sector-specific impacts and propose a methodological framework for future research, emphasizing the importance of adapting educational curricula and policies to prepare for an AI-integrated future

TO IDENTIFY, EVALUATE, AND ANALYZE THE POSSIBLE DRUG-DRUG INTERACTIONS IN PATIENTS DIAGNOSED AS TYPE 2 DIABETES MELLITUS WITH HYPERTENSION IN A TERTIARY CARE TEACHING HOSPITAL

Objective: To identify, evaluate, and analyze the possible drug-drug interactions (DDIs) in patients diagnosed as Type 2 diabetes mellitus withhypertension in a tertiary care teaching hospital Davangere.Methods: This prospective interventional study was conducted for a period of 6 months. Data were collected from patients who were prescribed withat least one antidiabetic drug and at least one antihypertensive drug at the same time. Data were analyzed for DDIs by using software Micromedex andother resources. Results were notified to the physicians for modification or alteration in the drug therapy.Results: A total of 150 patients were analyzed out of which, 60.67% were male, and the rest 39.33% were female. In terms of interactions present,95 (63.33%) prescriptions had one or more interactions. Antihypertensive drugs most frequently seen in prescriptions were diuretics (24.44%). Antidiabeticdrugs seen frequently prescribed are biguanides (34.36%). A total of 167 possible DDIs were obtained. Angiotensin-converting enzyme inhibitors weremost frequently involved antihypertensive drug in DDIs, with 60 of all possible DDIs identified. Insulin and biguanides were most frequently involvedantidiabetic drugs in DDIs, with 58 each of all possible DDIs identified. Most frequently interacting drug pair was insulin + metformin (n=19).Conclusion: For every possible DDIs found in the prescription, the appropriate intervention was advised from the investigator's part as well asprovision for a physician to review and initiate modification of his choice.Keywords: Hypertension, Possible drug-drug interaction, Type 2 diabetes mellitus.Â

The cognate facilitation effect on lexical access in bilingual aphasia: evidence from the Boston naming test

Most cognate research suggests facilitation effects in picture naming, but how these effects manifest in bilinguals after brain damage remains unclear. Additionally, whether this effect is captured in clinical measures is largely unknown. Using data from the Boston Naming Test, we examined the naming of cognates and noncognates, the extent of cognate facilitation produced, and the individual differences in bilingual language experience associated with naming outcomes in forty Spanish–English bilingual persons with aphasia (BPWA) relative to thirty-one Spanish–English healthy bilinguals (HB). Results suggest that naming performance in L1 and L2 in both groups is modulated by lexical frequency, bilingual language experience, and by language impairment in BPWA. Although the two groups showed similarities, they deviated in benefit drawn from the extent of phoneme/grapheme overlap in cognate items. HB showed an association between cognate facilitation and bilingual language experience, while cognate facilitation in BPWA was only associated with L2 language impairment