bluuebunny/crossref_metadata_2025 huggingface dataset:
Question Answering Chatbot Using Memory Networks
Authors: Patel Riddhi , Patel Parth , Bhatt Chintan M. , Rahevar Mrugendrasinh L.
Published: July 2021

Manipulation of a large amount of data becomes a very tedious task. Hence, the authors took the approach of memory networks for the implementation of the chatbot. Traditionally, the LSTM model was used to implement chatbots and QA systems. But the LSTM failed to store relevant information when given a longer information set. On the contrary, the memory networks have an additional memory component with it. This can help in storing long information for further use which is greatly advantageous for the QA and chatbot systems as compared to LSTM. The authors trained and tested their model over Facebook's bAbi dataset which consists of several tasks and has questions regarding each task to retrieve the accuracy of the model. On the pedestal of that dataset, they have presented the accuracy for every task in their study with memory networks.
Data Science in Economics and Business
Authors: Madaleno Mara , Marques João Lourenço , Tufail Muhammad
Published: July 2021

Economics and business are a great background for data science provided econometricians and data scientists are sets with an intersection, although remaining unknown. In econometrics, data mining is somewhat a monstrous word, a field that traditionally seeks causal inference and results in interpretability. When we go deeper into what data science usually is, the boundaries between more traditional econometrics and even statistics and the hip and cool machine learning become shorter. In economics and business, we find examples and applications of simple and advanced data science techniques. This chapter intends to provide state-of-the-art data science applications in economics and business. The review and bibliometric analysis are limited to the research articles published through Elsevier Scopus. Results allowed the authors to conclude that despite the number of already existent research, a lot more remains to be explored joining both fields of knowledge, data since, and economics and business. This analysis allowed the authors to identify further possible avenues of research critically.
Towards Ethical Neuromarketing 2.0 Based on Artificial Intelligence
Authors: Attié Elodie , Le Bars Solène , Quenel Ilhem
Published: July 2021

Eighty percent of consumer behaviors and purchases rely on subconscious processes. The use of neuromarketing tools to study consumer behavior is not clear, notably regarding its practices and intentions toward consumers. This chapter aims to understand how neuromarketing can explain consumer behavior thanks to Neuromarketing 2.0 tools, how companies can manage the collected data in a responsible way and build a neuroethical charter to regulate the way companies use it. Most companies choose to not communicate about it when they use neuromarketing tools, and therefore, this chapter aims to pave the way towards solutions and recommendations and democratize its use by making Neuromarketing 2.0 more responsible and ethical.
The Role of Smart Farming in Sustainable Development
Authors: Musa Siti Fatimahwati Pehin Dato , Basir Khairul Hidayatullah , Luah Edna
Published: July 2021

This paper intends to explore the development of agriculture in to smart farming and how smart farming can contribute to the sustainable development goals. The paper focuses on how smart farming can be imparted in sustainable agriculture by analyzing the environmental, economic and social impact. This paper applied a systematic literature review technique to assess published academic literature on smart farming and sustainable agriculture in Southeast Asia. The review identified that smart farming can lead to less environmental damage, lower cost and higher productivity and has the potential to create decent jobs for the youth ultimately leading to a sustainable food system.
Automatic Multiface Expression Recognition Using Convolutional Neural Network
Authors: Padmapriya K.C.  , Leelavathy V.  , Gladston Angelin
Published: July 2021

The human facial expressions convey a lot of information visually. Facial expression recognition plays a crucial role in the area of human-machine interaction. Automatic facial expression recognition system has many applications in human behavior understanding, detection of mental disorders and synthetic human expressions. Recognition of facial expression by computer with high recognition rate is still a challenging task. Most of the methods utilized in the literature for the automatic facial expression recognition systems are based on geometry and appearance. Facial expression recognition is usually performed in four stages consisting of pre-processing, face detection, feature extraction, and expression classification. In this paper we applied various deep learning methods to classify the seven key human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality. The facial expression recognition system developed is experimentally evaluated with FER dataset and has resulted with good accuracy.
Clique Finder
Authors: Almuhaideb Sarab , Altwaijry Najwa , AlMansour Shahad , AlMklafi Ashwaq , AlMojel AlBandery Khalid , AlQahtani Bushra , AlHarran Moshail
Published: July 2021

The Maximum Clique Problem (MCP) is a classical NP-hard problem that has gained considerable attention due to its numerous real-world applications and theoretical complexity. It is inherently computationally complex, and so exact methods may require prohibitive computing time. Nature-inspired meta-heuristics have proven their utility in solving many NP-hard problems. In this research, we propose a simulated annealing-based algorithm that we call Clique Finder algorithm to solve the MCP. Our algorithm uses a logarithmic cooling schedule and two moves that are selected in an adaptive manner. The objective (error) function is the total number of missing links in the clique, which is to be minimized. The proposed algorithm was evaluated using benchmark graphs from the open-source library DIMACS, and results show that the proposed algorithm had a high success rate.
Adolescent Sexual Reproductive Health Rights Issues in Rural Zimbabwe
Authors: Kurebwa Jeffrey
Published: July 2021

This study was aimed at examining the knowledge and perceptions of adolescents on Adolescent Sexual and Reproductive Health (ASRH) rural Zimbabwe. Adolescents in Zimbabwe faces limited access to health information and services. Different factors like poverty, gender inequality, socio-cultural and economic status play a crucial role in determining adolescent’s access to ASRH knowledge. Qualitative research methodology was used in the study. Data was gathered through key informant interviews and Focus Group Discussions (FGDs). The culture of communicating ASRH problems with parents was non-existent in most cases save for girls who indicated that they got information from their mothers during menstruation periods. Adolescents indicated that they had limited access to ASRH services available in their community. They further indicated that they were not utilising these services for various reasons such as social stigma, lack of information, poor quality service and the negative attitude displayed by some nurses and counsellors at the nearest health centre.
Exploring the Association Between Demographics and Cancer
Authors: Raghupathi Viju , Raghupathi Wullianallur
Published: July 2021

Objective: We explore the association between demographics and the most prevalent cancers in the United States by analyzing empirical data from the Centers for Disease Control and Prevention, with indicators like cancer site, cancer incidence rate, relative survival rate, death rate, and demographic and lifestyle factors. Identifying cancer-related factors can contribute to improvements in treatment and management of the disease. Method: We use visual analytics to show behavioral factors and age to be associated with increasing incidence rates. Principal Results: Females are more susceptible to breast and males to prostate cancer. As a preventive measure, national healthcare entities, insurance companies and the government should consider both gender and age factors and monitor behavioral health measures like drugs and diet, in evaluating cancer treatment/mitigation. Main conclusions: Preventive care combined with improved outcomes and reduced costs is necessary. We offer implications for all developed countries in identifying key areas to target and manage public health.
Analyzing Behavioral Implications of Face Mask Wearing to Slow COVID-19 in Organizational Workplaces
Authors: Brown Sr. Michael Anthony , Krohn Leslie
Published: July 2021

As the nation battles COVID-19, we analyze the policy and tactics required to follow the recommendations of scientists and health professionals to achieve physical and psychological well-being by wearing masks to slow the spread of the SARS-CoV-2. An online survey from a business-focused social media network is employed to understand the issues for and against mask wearing. The survey findings showed that 60% of organizations have created some kind of health pact, pledge, or commitment and that most plans identified impact everyone who interacts with a business, not just employees. The findings do not shed much light on what drives people to opt out of mask wearing. The practical findings are that there is a need for achieving, understanding, and subsequent buy in of mask wearing that would be helped with a solid plan. The limitations of the research are primarily the small size of the convenience sample and the fact that the population may be restricted. Replication of this type of study with a formal, qualitative approach aimed at populations of interest is highly recommended.
Classifier Selection for the Prediction of Dominant Transmission Mode of Coronavirus Within Localities
Authors: Atsa'am Donald Douglas , Wario Ruth
Published: July 2021

The coronavirus disease-2019 (COVID-19) pandemic is an ongoing concern that requires research in all disciplines to tame its spread. Nine classification algorithms were selected for evaluating the most appropriate in predicting the prevalent COVID-19 transmission mode in a geographic area. These include; multinomial logistic regression, k-nearest neighbour, support vector machines, linear discriminant analysis, naïve Bayes, C5.0, bagged classification and regression trees, random forest, and stochastic gradient boosting. Five COVID-19 datasets were employed for classification. Predictive accuracy was determined using 10-fold cross validation with three repeats. The Friedman’s test was conducted and the outcome showed the performance of each algorithm is significantly different. The stochastic gradient boosting yielded the highest predictive accuracy, 81%. This finding should be valuable to health informaticians, health analysts and others regarding which machine learning tool to adopt in the efforts to detect dominant transmission mode of the virus within localities.
hQChain
Authors: Mukherjee Pratyusa , Barik LalBihari , Pradhan Chittaranjan , Patra Sudhansu Shekhar , Barik Rabindra K.
Published: July 2021

Blockchain facilitates a broad spectrum of applications such as transaction of cryptocurrency, catering to financial services, designing and constructing smart cities and so on. It has astounding benefits including accountability, consistency and decentralization. Smart healthcare can be exemplified as utilizing propitious electronic technology safeguarded with blockchain for superior diagnosis of the disorders, improvised and cost-effective treatment of the patients, and enhanced quality of lives. Since, blockchain in smart healthcare architecture hosts substantial amount of patient data queueing models play a pivotal role to efficiently process the data. In this paper, it highlights the concepts of blockchain, then delve into the smart healthcare architecture and then deal with the several queueing models that already exist. It proposes the model i.e. hQChain which is inculcating M1,b/Mb/1 queueing model into blockchain based smart healthcare architecture. It offers a queuing mathematical and analytical model to analyze and study the performance measurement of hQChain model.
A Review on Negation Role in Twitter Sentiment Analysis
Authors: Gupta Itisha , Joshi Nisheeth
Published: July 2021

Negation is an important linguistic phenomenon that needs to be considered for identifying correct sentiments from the opinionated data available in digital form. It has the power to alter the polarity or strength of the polarity of affected words. In this paper, the authors present a survey on the negation role that has been done until now in sentiment analysis, specifically Twitter sentiment analysis. The authors discuss the various approaches of modelling negation in Twitter sentiment analysis. In particular, their focus is on negation scope detection and negation handling methods. This article also presents some of the challenges and limits of negation accounting in the field of Twitter sentiment analysis.
Haar Wavelet Pyramid-Based Melanoma Skin Cancer Identification With Ensemble of Machine Learning Algorithms
Authors: Thepade Sudeep D. , Ramnani Gaurav
Published: July 2021

Melanoma is a mortal type of skin cancer. Early detection of melanoma significantly improves the patient’s chances of survival. Detection of melanoma at an early juncture demands expert doctors. The scarcity of such expert doctors is a major issue with healthcare systems globally. Computer-assisted diagnostics may prove helpful in this case. This paper proposes a health informatics system for melanoma identification using machine learning with dermoscopy skin images. In the proposed method, the features of dermoscopy skin images are extracted using the Haar wavelet pyramid various levels. These features are employed to train machine learning algorithms and ensembles for melanoma identification. The consideration of higher levels of Haar Wavelet Pyramid helps speed up the identification process. It is observed that the performance gradually improves from the Haar wavelet pyramid level 4x4 to 16x16, and shows marginal improvement further. The ensembles of machine learning algorithms have shown a boost in performance metrics compared to the use of individual machine learning algorithms.
Researchers' Perceptions of Research Data Management Activities at an Academic Library in a Developing Country
Authors: Masinde Johnson Mulongo , Chen Jing , Muthee Daniel Wambiri
Published: July 2021

This study investigated researchers perceptions of RDM at the MGGL to recommend measures to enhance managing, sharing, and reusing data. The study was underpinned by the DCC Curation lifecycle model and the CCMF which enabled the investigator to employ a descriptive research design to purposively capture data from a broad cross-section of 330 researchers. The data was analysed using SPSS to generate descriptive and inferential statistics that enabled the Investigator to answer the problem.Study findings demonstrate no explicit policies to guide each stage of data curation and capabilities. There were also inadequacies in the knowledge and skills capability, technological infrastructure and collaborative partnerships. Overall, RDM faced challenges in all the examined capabilities. These challenges limited managing, sharing, and reusing data.The study recommends establishing a CMU within the MGGL to oversee the implementation of RDM activities by assembling all the needed capabilities to support data curation activities and enable efficient managing, sharing and reusing research data
An Approach in Big Data Analytics to Improve the Velocity of Unstructured Data Using MapReduce
Authors: Sundarakumar M. R.  , Mahadevan G.  , Somula Ramasubbareddy , Sennan Sankar , Rawal Bharat S.
Published: July 2021

Big Data Analytics is an innovative approach for extracting the data from a huge volume of data warehouse systems. It reveals the method to compress the high volume of data into clusters by MapReduce and HDFS. However, the data processing has taken more time for extract and store in Hadoop clusters. The proposed system deals with the challenges of time delay in shuffle phase of map-reduce due to scheduling and sequencing. For improving the speed of big data, this proposed work using the Compressed Elastic Search Index (CESI) and MapReduce-Based Next Generation Sequencing Approach (MRBNGSA). This approach helps to increase the speed of data retrieval from HDFS clusters because of the way it is stored in that. this method is stored only the metadata in HDFS which takes less memory during runtime compare to big data due to the volume of data stored in HDFS. This approach is reduces the CPU utilization and memory allocation of the resource manager in Hadoop Framework and imroves data processing speed, such a way that time delay has to be reduced with minimum latency.
Study of Using Applications of Artificial Intelligence in Performance of Financial Markets
Authors: Jawid Raed Fadel
Published: July 2021

In an attempt to revive the stock market in Egypt and revitalize it to fulfill its developmental role, the Egyptian government has pursued a program of economic and financial reform aimed at improving the regulatory environment for the work of that market and removing all restrictions on foreign exchange transactions for foreign investors on the Egyptian Stock Exchange, so this program allowed free movement of entry and exit of the heads Money without any restrictions. Despite differing opinions about the freedom of movement of capital, however
Technological Innovation Research
Authors: Sun Yu , Yu Zhaoyuan , Li Ling , Chen Yong , Kataev Mikhail Yu , Yu Haiqing , Wang Hecheng
Published: July 2021

The paper explores the relationship among technological innovation, technological trajectory transition, and firms’ innovation performance. Technological innovation is studied from the perspectives of innovation novelty and innovation openness. Technological trajectory transition is categorized into creative cumulative technological trajectory transition and creative disruptive technological trajectory transition. A structural equation model is developed and tested with data collected by surveying 366 Chinese firms. The results indicate that both innovation novelty and innovation openness positively affects creative cumulative technological trajectory transition as well as creative disruptive technological trajectory transition. Innovation openness and creative disruptive technological trajectory transition both positively affect firms’ innovation performance. However, neither innovation novelty nor creative cumulative technological trajectory transition positively affects firms’ innovation performance. Implications for managers and directions for future studies are discussed.
Effects of Ce Addition on Solidification Structure of a Low-Carbon 42CrMo4 Steel
Authors: The Ha Vu , Drápala Jaromír , Brožová Silvie , Madaj Michal , Machovčák Pavel , Jonšta Petr
Published: July 2021

Effects of Cerium (Ce) addition on solidification structure of a low-carbon 42CrMo4 steel was investigated. The addition of up to 0.067 wt.% of Ce in the steel produced greatly improved solidification structure with a suppressed columnar grain zone, finer grain size in an equiaxed grain zone and zero area fraction of casting shrinkage cavity. The added Ce occurred in the steel both in the form of Ce oxy-sulfide inclusions and as dissolved atomic Ce segregated together with other elements at prior austenite grain boundaries and at interdendritic spacing. The Ce oxy-sulfide inclusions were found to play a major role in the observed improved grain structure meanwhile dissolved Ce had pronounced effects on morphology of dendritic networks. The fraction of Ce dissolved in the melt appeared to bring about increase in fluidity of the molten steel, leading to total elimination of interdendritic shrinkage porosity in solidification structure of the steel with added Ce. Ce addition can be considered as a potential solution for grain structure refinement in heavy-weight castings of 42CrMo4 steel grade.
Estimation of Microwave Absorption Properties of RGO-SiC-LLDPE Composites
Authors: Bora Pankaj , Mahanta Utpaljyoti , Sarmah Jayanta Kumar , Gogoi Jyoti Prasad
Published: July 2021

The present work investigate the microwave absorption properties of reduced graphene oxide (RGO)-Silicon carbide (SiC)-Linear low-density polyethylene (LLDPE) composites prepared in different concentration of fillers(10, 20, 30, 40 wt. %) with LLDPE matrix. Synthesis of RGO is confirmed from XRD analysis and SiC is used as received from supplier. Complex permittivity of the composites is measured using Nicolson Ross method showing an increasing trend with increasing filler concentrations with maximum and for 40 wt. % composite sample. Based on transmission line theory and using measured value of complex permittivity, conductor backed single and double layer absorber is designed by thickness optimization. The calculated reflection loss (RLc) value of ~-71 dB at 11.23 GHz is observed for 40 wt. % composite sample of 7 mm thickness with -10 dB absorption bandwidth of 1.48 GHz and -20 dB bandwidth of 0.64 GHz.
Diffused Alopecia Followed by Severe Acute Respiratory Syndrome Coronavirus-2 Infection
Authors: Pareek Shatrughan , Kumar Nitesh , Chouhan Chandraprakash
Published: July 2021

Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection has a wide range of consequences of human body. In the literature, only a few cases with uncertain hair fall related to COVID-19 infection. In the case report, we enumerated a case of 33-year-old female with alopecia followed by SARS-Cov-2 infection. On the visit, the patient was afebrile; vitals were within normal range and breathing normally. The patient was not suffering from any stress, and her psychological status was sound. Physical examination revealed asymptomatic alopecia on the temporal region of her scalp. The scalp area was smooth, and there was no inflammation was there. The pull test outcome was positive. The patient was managed with topical lotions and biotin supplements. After 1 month, the hair fall was limited and pull test found negative. No cutaneous infection was observed on the scalp. The present case showed alopecia as a rare complication of SARS-Cov-2 infection. Early initiation of the therapy can decline the consequences of alopecia among SARS-Cov-2 patients.
Frequency of Rhabdomyolysis in Patients Treated with Statins in Hamad General Hospital, Qatar
Authors: Yousif Abdelmonem Badawi , Hassan Ebtihal Abdelmoneim , Ahmed Mutie Ullah , Lashin Mona S. , Kunjumon Neathu Maria , Sulaiman Theeb Osama , Saliba Maram , Shier Amer A. , Babikir Mona M. , Saeed Walaa A. , Farghaly Ahmed Ali , Khan Fahmi Yousef
Published: July 2021

Background:

Statins are well tolerated but associated with various statin-associated symptoms, including statin-associated rhabdomyolysis.

Objectives:

The aim of this study was to evaluate the frequency of rhabdomyolysis in patients treated with various statins and to describe their clinical features and outcomes in our local setting.

Patients and Methods:

This retrospective cross-sectional study was conducted at Hamad General Hospital and included all patients who received statins for the period between January 1, 2017, and November 31, 2017.

Results:

Out of 1000 cases involved in this study, 3 cases (0.3%) met the criteria for rhabdomyolysis. Two of them were males and the third was a female. Two cases received simvastatin and one case received rosuvastatin. All developed muscle pain and were hospitalized, during which all patients were treated with drug withdrawal and hydration. Upon discharge, rosuvastatin was replaced by atorvastatin, while simvastatins were replaced by atorvastatin and rosuvastatin.

Conclusion:

Rhabdomyolysis is a recognized but rare side effect of statins that should not be a reason to limit the use of life-saving statin therapy.
A Rare Case of Acute Mechanical Intestinal Obstruction due to Isolated Mesenteric Panniculitis
Authors: Sari Ramazan , Buldanli Mehmet Zeki
Published: July 2021

Mesenteric panniculitis is a rare benign fibrotic condition that manifests with acute or chronic inflammation. It commonly affects small bowels whereas the mesenteric adipose tissue of large bowels is less commonly (20%) involved. In literature, there cases, mostly children and adolescents, where surgery has been used to relieve compression symptoms. We present a rare case of an adult patient who presented with acute mechanical intestinal obstruction secondary to isolated mesenteric panniculitis. We present this case to highlight the fact that this rare condition can cause acute mechanical intestinal obstruction even in adult patients and should be factored into the differential diagnosis.
Does an autogenous demineralized dentin (ADDM) graft has the ability to form a new bone?
Authors: Dhuvad Jigar M. , Mehta Deval
Published: July 2021

Aim:

This aimed to evaluate a new bone formation and to provide a single-stage treatment, i.e., extraction of tooth followed by autogenous dentin demineralized (ADDM) graft in the same extraction socket (ES) – for adult patients who require tooth extraction.

Materials and Methods:

Two hundred teeth extractions were performed to investigate the efficacy of ADDM graft in the formation of new bone. After demineralization of dentin graft parameters such as exposure of graft, any signs of infections/pus/exudates, pain, and bone density were evaluated.

Results:

On follow-up, exposure of graft was recorded in five sockets at 1 month and infection was recorded in four sockets. Pain was significantly high at postoperative day 1 and least with 3rd and 6th months. There was a highly significant bone formation (P < 0.01, 0.05) in the ES group at various time intervals, while there were no significant differences in the adjacent bone group.

Conclusion:

Using ADDM graft in providing a single-stage treatment plan, i.e., extraction of tooth followed by autogenous demineralized dentin graft in the same ES in adult patients – is an alternative for the immediate reconstruction of alveolar bone defects to facilitate the future prosthesis. It also saves the cost of other graft materials which are commercially available in market for the patient and also reduces the infective dental waste globally.
Manuka honey
Authors: Kapoor Nupur , Yadav Rahul
Published: July 2021

Objectives:

To assess the efficacy and feasibility of topical manuka honey application in chronic nonhealing discharging extraoral wounds.

Materials and Methods:

The study includes 15 patients (9 males and 6 females, mean age: 38.06, range: 20–50 years), presenting with the complaint of chronic nonhealing discharging extraoral wounds from January 2018 to January 2020. After wound irrigation with normal saline, manuka honey in conjunction with the antibiotic treatment was directly applied onto the surface of the wound and was then covered by an absorbent layer to contain the honey. Dressings were changed every alternate day for a week till there was complete cessation of pus discharge. Henceforth, the interval between dressings was increased to 1 week subsequently and was continued for 4 weeks. Assessment was done on the basis of discharge and depth of the wound before the procedure and weekly for 4 weeks.

Results:

The average depth of wound as seen at 15 sites after a week was 5.72 mm, and decrease in the average depth of wound seen at the end of the 4th week was 0.88 mm with complete wound epithelization. This was found to be statistically significant (P = 0.0001). No cases were reported with allergy, pain, infection, inflammation, and swelling on 1st, 2nd, 3rd, and 4thweek.

Conclusion:

Hence, the use of manuka honey as a wound dressing material in our study has proved to promote the growth of tissues for wound repair, suppress inflammation, and bring about rapid autolytic debridement.
A comparison of different osteotomy techniques with and without pterygomaxillary disjunction in surgically assisted maxillary expansion utilizing modified hybrid rapid maxillary expansion device with posterior implants
Authors: Sankar Singaraju Gowri , Prashanth Bathini , Rajasekhar Galli , Prasad Mandava , Reddy Ganugapantae Vivek , Priyanka J. S. Yamini
Published: July 2021

Introduction:

The study aims to evaluate the effect of osteotomies with and without Pterygomaxillary disjunction (PMD) during Surgical Assisted Rapid Maxillary Expansion on the displacement pattern and stress distribution of Dental and Skeletal structures of the Nasomaxillary (NM) complex by a modified rapid maxillary expansion (RME) Hybrid appliance.

Materials and Methods:

A CT scan of a 20-year-old adult with maxillary constriction and the posterior bite was utilized for the restructuring of the finite element model. Five different meshed models were created individually with varying procedures of the osteotomy. A posteriorly anchored Hybrid-Hyrax appliance was utilized for RME. Groups included Group 0 - Control group without osteotomy; Group I - Only Midpalatal osteotomy; Group II - Only Subtotal Le fort I; Group III - Both Midpalatal and Subtotal Le fort I without PMD; Group IV - Midpalatal + subtotal Le fort I with bilateral PMD. The displacement pattern and stress distribution in all three dimensions were recorded and analyzed using analysis of variance and post-hoc Tukey test.

Results:

Group IV with PMD exhibited the highest stress dissipation and displacement of the skeletal and dental structures followed by Group III osteotomies. The highest stress concentration was at midpalatal suture (292 MPa) for Group III osteotomies. There is no statistical difference between Group III and Group IV osteotomies for many of the parameters measured (P > 0.05).

Conclusions:

Posteriorly anchored Hybrid appliance without PMD is as effective as that with of PMD.
Knowledge and awareness of dental implants as a treatment choice in the adult population in North India
Authors: Jha Abhinav , Aher Vinit , Lath Preeti , Khangembam Monica , Nishant  , Pani Pooja , Singh Ujwal
Published: July 2021

Background:

Implantology is an emerging field of science, although there are not many subjects who opt for this treatment modality. Replacement of missing or lost teeth with dental prostheses supported by oral implants has been accepted and received positive evaluations from patients who have undergone implant treatment. Today, implant-supported restorations can be considered the treatment of choice from the perspective of occlusal support, preservation of adjacent teeth, and avoidance of a removable partial denture. Currently, dental implants are widely accepted as a prosthetic treatment of completely or partially edentulous patients. This led to widespread acceptance and popularity of dental implants within the dental professional community.

Aim:

The aim of this study was to evaluate knowledge, attitude, and awareness of dental implants in residents of Uttarakhand.

Materials and Methods:

A total population of 500 subjects were randomly selected and evaluated based on filled questionnaire responses.

Results:

A low level of knowledge was observed on analyzing the filled responses among the studied population.

Conclusion:

General public should be made aware on dental implants as treatment modality along with the focus on increasing the cost feasibility.
Effects of intraoperative placement of tetracycline, tetracycline + gelatin sponge, and placebo on postoperative pain after mandibular molar extraction
Authors: Patil Vinay , Ramaraj P.N. , Sharma Mandeep , Singh Rohit , George Abhijith , Roy Bhaskar
Published: July 2021

Background:

Painless postoperative period is a major requisite following routine dental extractions. Reduction in the postextraction complication is beneficial to both clinician and patients. Hence, emphasis should be given to the techniques and agents that help reduce the complications for better postoperative recovery.

Materials and Methods:

Three groups of 30 patients each requiring mandibular molar extractions were randomly selected with intrasocket placement of tetracycline, tetracycline plus gelatin sponge, and placebo control after extraction. A small piece of collagen membrane was used on the superior surface of the socket after the placement of the medicament in Group A and Group B. The postoperative pain scores were evaluated at 24 h, 48 h, and 7 days postoperatively.

Results:

Ninety patients requiring mandibular molar teeth extraction were enrolled as the study participants. Forty-two patients (55.26%) were male and 34 (44.73%) were female. Tetracycline alone and tetracycline + gelatin sponge group shows no statistical significant difference in reducing postoperative pain after 7 days, but the pain score values were less in Tetracycline + gelatin sponge group. The comparison between tetracycline alone and control group showed no significant difference observed between the groups at 24 h but showed statistically significant difference between the groups after 48 h and 7 days, whereas comparison between tetracycline + gelatin sponge and control group showed statistically significant difference between the groups after 24 h, 48 h, and 7 days (P = 0.009, 0.001, and 0.017, respectively).

Conclusion:

Tetracycline and gelatin sponge intrasocket placement provides a good substitute to the prolong use of analgesics and as a good adjuvant in reducing pain in the first few days after routine dental extraction.
Treatment of partial ankyloglossia using Hazelbaker Assessment Tool for Lingual Frenulum Function (HATLFF)
Authors: Jaikaria Astha , Pahuja Suhani K , Thakur Seema , Negi Pooja
Published: July 2021

Ankyloglossia or “tongue-tie,” observed in neonates, children, or adults, is characterized by an abnormally short, thick, fibrosed lingual frenulum which may cause restriction in function of tongue including limitation in tongue movement. The use of Hazelbaker Assessment Tool for Lingual Frenulum Function allows elaborate and extensive scoring of the anomaly. This article reports the surgical management of an 11-year-old patient having ankyloglossia associated with restricted movement of tongue and difficulty in speech. Six months postoperatively, the patient showed uneventful healing and was satisfied with the procedure.
Sobolev homeomorphic extensions
Authors: Koski Aleksis , Onninen Jani
Published: July 2021

Let

\mathbb{X}

and

\mathbb{Y}

be

\ell

-connected Jordan domains,

\ell \in \mathbb{N}

, with rectifiable boundaries in the complex plane. We prove that any boundary homeomorphism

\varphi \colon \partial \mathbb{X} \xrightarrow[]{{}_{\!\!\textnormal{onto\,\,}\!\!}} \partial \mathbb{Y}

admits a Sobolev homeomorphic extension

h \colon \overline{\mathbb{X}} \xrightarrow[]{{}_{\!\!\textnormal{onto\,\,}\!\!}} \overline{\mathbb{Y}}

in

\mathscr{W}^{1,1} (\mathbb{X}, \mathbb{C})

. If instead

\mathbb{X}

has

s

-hyperbolic growth with

s>p-1

, we show the existence of such an extension in the Sobolev class

\mathscr{W}^{1,p} (\mathbb{X}, \mathbb{C})

for

p\in (1,2)

. Our examples show that the assumptions of rectifiable boundary and hyperbolic growth cannot be relaxed. We also consider the existence of

\mathscr{W}^{1,2}

-homeomorphic extensions with given boundary data.
Reduced olfactory bulb volume in total laryngectomy patients: a magnetic resonance imaging study
Authors: Veyseller B. , Aksoy F. , Yildirim Y.S. , Bayraktar F.G.I. , Gurbuz D. , Savas Y. , Ozturan O.
Published: July 2021

Objectives: The olfactory bulb (OB) is a remarkably plastic structure with highly active afferent neurons, which is partly reflected by its volume. Although deterioration of olfaction after total laryngectomy is reported by many patients, this problem has not received widespread attention. There has been no study that had addresses this loss olfactory ability as a function of OB volume. The aim of this study was to determine OB volume changes after laryngectomy. Study design: Twenty one patients post-total laryngectomy and 17 subjects with normal olfactory function underwent magnetic resonance imaging (MRI) for volumetric measurement of the OB. The history of all participants was taken in detail to exclude other possible causes of smell dysfunction. Volumetric measurement of the OB was performed by manual segmentation of the OB into coronal slices. Olfactory function was assessed with the orthonasal olfaction test. Results: There was no statistically significant difference in volume between the right and left sides of the OB in the study and control groups. However, the study group had smaller OB volumes than the control group. In our assessment of orthonasal olfaction, patients who were post-total laryngectomy had worse orthonasal olfactory function than the control group. There were significant correlations between OB volumes and orthonasal test scores. Conclusions: Our MRI study showed that post-total laryngectomy patients had higher rates of olfactory bulb atrophy than the control subjects. Laryngectomy is associated with measurable decreases in olfactory function and this study hopes to further clarify this association by demonstrating that patients with total laryngectomy have reduced OB volumes when compared to the normal population.
Low meningitis-incidence in primary spontaneous compared to secondary cerebrospinal fluid rhinorrhoea
Authors: Poletti-Muringaseril Sophia C. , Rufibach Kaspar , Ruef Christian , Holzmann David , Soyka Michael B.
Published: July 2021

Objective: Spontaneous cerebrospinal fluid (CSF) rhinorrhoea is a separate clinical entity with elevated intracranial pressure as its most probable pathophysiological mechanism. Having the clinical impression of distinct courses of diseases in primary spontaneous (PS) compared to secondary CSF rhinorrhoea, our objective was to identify whether the two forms differ in the duration of CSF rhinorrhoea and the incidence of meningitis. Methods: Chart review performed on all patients referred with a CSF leak to our tertiary-care medical center over a 20-year period from 1990 to 2010. Results: In total, 58 cases suffering from CSF rhinorrhoea could be included. The aetiology was primary spontaneous in 23 (40%) and secondary in 35 (60%) patients. The duration of CSF rhinorrhoea was notably longer in patients with PS CSF rhinorrhoea. Moreover, we could show a significantly lower incidence of meningitis with PS CSF rhinorrhoea compared to the secondary group (annual incidence of 0.12 vs. 1.22 episodes). Conclusion: A significantly lower incidence and delayed onset of meningitis in patients suffering from PS CSF rhinorrhoea could be explained by an elevated intracranial pressure that hinders the ascension of bacteria. The closure of a leak in secondary CSF fistula seems more urgent than in PS CSF fistulas.
Modern Musical Waves: Technical and Expressive Aspects of Fin-de-siècle Form
Authors: Downes Stephen
Published: July 2021

Mahler’s Sixth Symphony, Berg’s Piano Sonata, Bartók’s Elegy Op.8b no.1 and Karłowicz’s Returning Waves illustrate concepts of ‘wave’ deformation in post-Wagnerian music. New insights into form and content in fin-de-siècle music are revealed through consideration of the interaction of deformed waves with designs from romantic Formenlehre – the bar and sonata form.
Beyond Postmodernism? Prince and Some New Aesthetic Strategies
Authors: Bielefeldt Christian
Published: July 2021

Former postmodernist Prince’s album Musicology (2004) re-occupies authorship and history, evoking a »real«, non-technological kind of music in the line of funk and hip-hop. The article is reading that as a strategy of »reflexive modernism«, an aesthetic challenging the postmodern denial of ontology with interim ontologies marked as such.
Vloga glasbe, zlasti petja, v rasti slovenske narodne zavesti (do leta 1848)
Authors: Granda Stane
Published: July 2021

Slovensko petje v okolju, kjer to ni bilo običajno, je bilo politično emancipativna akcija. S slovensko pesmijo so se predstavljali tako znotraj dunajske slovanske študentske skupnosti kot nemškogovoreči sodržavljani. Pomen petja v političnem delovanju dokazujeta tako Slovenska gerlica kot pevski zbor graške Slovenije.
Koroner Arter Bypass Greft Ameliyatı Geçiren Hastaların Evde Bakım Gereksinimleri
Authors: TOTUR DİKMEN Burcu , YAVUZ van GIERSBERGEN Meryem
Published: July 2021

Objective: The study was planned to determine the home care needs of patients undergoing coronary artery bypass graft surgery. Materials and Methods: The sample of this descriptive study consisted of 90 patients who had undergone coronary artery bypass graft surgery in a university hospital, were given home care for at least six months after discharge, and applied to the outpatient clinic for routine control. In the questionnaire form, which was used to collect study data, there were questions about patients' introductory information, activities of daily living, and home care needs. In order to evaluate the obtained data, number, percentage and chi-square analyzes were performed using the Statistical Package for Social Science. Results: 86.7% of the patients included in the study stated that they did not have any need during home care. 4.9% of the patients stated that they had self-care needs, 4.4% social, 2.2% psychological and 1.8% physiological needs. It was determined that 91.1% of patient relatives helped with their home care. Conclusion: Determining the individual characteristics and learning needs of patients undergoing CABG surgery, taking into account the family member who is planned to assist in home care, planning and applying discharge education in the areas they need the most will contribute to the conduct of their home care.
Avrupa Birliği Ülkelerinin Sağlık Güvenliği Performanslarının Ölçülmesi: MAIRCA Yöntemi ile Bir Uygulama
Authors: ALTINTAŞ Furkan Fahri
Published: July 2021

By analyzing their own and each other's health security performance, countries can develop strategies and methods to increase their health security performance. Therefore, it is important to provide the said performance measurement in order to raise awareness of the health security performance of the countries. In this context, the health security performances of the European Union countries were measured by the MAIRCA method over the values of the Global Health Security Index (GHSI) components for the latest and current 2019. In the research, the relationships were calculated between the health security performance values of the countries determined by the GHSI and MAIRCA method and some multi-criteria decision making (MCDM) methods (ARAS, BTA, COPRAS, EDAS, MAUT, ROV, TOPSIS, WASPAS, Gray Relational Analysis). According to the findings, it was determined that the first three countries with the highest health and safety performance were Sweden, the Netherlands and Denmark, while the first three countries with the lowest health and safety performance were Bulgaria, Romania and Cyprus. In the study, it was also observed that the countries of Bulgaria, Czechia, Cyprus, Croatia, Italy, Lithuania, Luxembourg, Hungary, Malta, Poland, Romania, Slovenia and Greece were below the average health protection performance value. Accordingly, it has been concluded that these countries need to increase their health safety performance in order to be in compliance with other European Union countries on health safety. Apart from these, it has been determined that GHSI and MAIRCA methods have significant, positive and very high correlations with each other and with other MCDM methods except MAUT method. Therefore, according to this finding, it was evaluated that GHSI and MAIRCA method could be explained with each other and with other methods except MAUT method.
Система забезпечення безпеки персоналу і пацієнтів у лікарняних закладах: стратегія удосконалення
Authors: Yavorovsky O. P. , Rygan M. M. , Ivanko A. V. , Skaletsky Yu. M. , Brukhno R. P. , Mikhailenko P. M. , Zinchenko T. A. , Badiuk M. I.
Published: July 2021

Мета: враховуючи міжнародний досвід оцінити стан інтегрованості питань безпеки пацієнтів і безпеки медичного персоналу у вітчизняних лікарняних закладах та розглянути можливості посилення їх взаємозв’язку і взаємовпливу на користь мінімізації ризиків лікарняного середовища.

Матеріали і методи. Проаналізовані декларації, стратегії  ВООЗ, окремих країн, інші документи і тематичні наукові публікації. Досліджено вітчизняну нормативну базу і частково практику формування безпечного лікарняного середовища у 4-х закладах охорони здоров’я (ЗОЗ). Методи досліджень: бібліосемантичний, гігієнічний, системного підходу, аналітичний, статистичні та математичні.

Результати. Оцінено стан інтегрованості питань безпеки пацієнтів і безпеки медичного персоналу у вітчизняних лікарняних закладах. Встановлено, що попередження випадків виробничого травматизму і інцидентів безпеки пацієнтів у вітчизняних лікарняних закладах  здійснюється автономно за різними планами та програмами і  є неефективним, про свідчить зростання як нещасних випадків у вітчизняних лікарняних закладах, так і стаціонарної та післяопераційної летальності. Запропоновано підходи до трансформації структури і функцій  безпекових підрозділів закладів охорони здоров’я з метою формування безпечного лікарняного середовища на засадах культури безпеки.

Висновки. Інтеграція питань безпеки пацієнтів та безпеки медичного персоналу у єдиних програмах є стратегічним напрямом і кращою практикою у формуванні безпечного лікарняного середовища за кордоном і її доцільно впроваджувати в нашій країні. Вітчизняна нормативна база і практика передбачає автономне і роздільне вирішення безпекових проблем щодо пацієнтів, медичного персоналу і оточуючого середовища. Трансформація структури і функцій   підрозділів закладів охорони здоров’я, задіяних у  забезпеченні безпеки пацієнтів,  медичного персоналу, екологічної безпеки, за єдиною  узгодженою стратегією сприятиме формуванню  безпечного лікарняного середовища на засадах культури безпеки.