bluuebunny/crossref_metadata_2025 huggingface dataset:
Antimicrobial Resistance and Implications: Impact on Pregnant Women with Urinary Tract Infections
Authors: Patnool Rihana Begum , Wadhwani Ashish , Balasubramaniam V. , Ponnusankar Sivasankaran
Published: May 2022

Urinary Tract Infections (UTI) is one of the most common infections, especially among women. Presently accessible antibiotics are a clinician’s first line of defense to treat infections, but antimicrobial resistance menace to reduce their efficacy. The consequences of multi-drug resistance to antibiotics are enhanced morbidity and mortality rates. The yearly death toll is >700,000 population worldwide, rising to ~10 million by 2050. There is a lack of novel antibiotics for UTIs as the return on its investment is poor compared to medicines for lifestyle diseases. The three organisms of utmost worry are methicillin-resistant Staphylococcus aureus (MRSA), Carbapenems and third-generation Cephalosporins resistant Klebsiella pneumoniae, Fluoroquinolones and third-generation Cephalosporins resistant Escherichia coli (E. coli). Among these, Escherichia coli is the foremost cause of community-acquired UTI infections throughout the globe, mainly due to the absence of alertness and inappropriate wastewater treatment. The purpose of this review article is to explore literature on uropathogens, the pattern of their antimicrobial resistance, and the hospital practices concerning the spread, as inadequate studies have been carried out and published on this topic. Hospital personnel are usually familiar with the management of infections, but most do not understand the conditions in their hospital. Implications of hospital practices play a major role in controlling hospital-acquired UTIs and the burden of its antimicrobial resistance. A complete approach involving financial and human resources will improve the infection control practices in hospitals without a doubt. Strict infection control measures in hospitals can help to reduce the number of hospital-acquired infections in pregnant women.
A Study on Seismic Response of RCC Buildings on Hill Slopes Using STAAD.Pro
Authors: Reshi Sameer Ahmad , Singh Bharmjeet
Published: May 2022

Abstract: The majority of India's hilly regions are prone to earthquakes. A building on a steep slope is distinct from other structures. That is to say, structures that are to be constructed on hilly terrain have a higher risk factor of falling prey to seismic activities as compared to their counterparts built on a rather plainer terrain. The numerous floors/storeys of such a structure step back towards the hill slope, and buildings may also have setbacks. As such, the column of a hill structure sits at different heights on the angle of the terrain; its analysis differs from that of buildings on level ground. The current study looked at G+3 and G+4 structures with different slope angles, such as 00 , 7.50 , 150 , 22.50 , and 300 . Both Step back and Step back & set back types of building configurations have been studied in this paper. The earthquake forces are calculated according to IS: 18932002; the structures are situated in seismic zone IV, with a damping ratio of 5%. Linear Static and Linear Dynamic methods were employed to conduct the seismic study. To investigate the influence of shifting column heights in the ground level due to sloping ground, a 3-dimensional analytical model of building plan was created and the same was studied using the structural analysis application "STAAD.Pro." To quantify the effects of diverse sloping terrain, response parameters like top storey displacement, base shear, shear in bottom storey column, and time period were thoroughly studied. It has been discovered that short columns on the elevated side of the terrain/slope experience a greater shear force as compared to columns of increased height on the lower side of the terrain. Under earthquake stresses, Step back & Setback structures showed better resilience to seismic forces as compared to Step back buildings. Step back setback buildings have substantially lower base shear and top floor displacement than setback buildings on sloping land. Keywords: Earthquake, Slope, STAAD.Pro, Step back, Step back & set back
Digitalized Voice-Command-Based Social Distancing Robot
Authors: Rajashekar Gali , Reddy Masani Sai Bhargav , Lokesh Mummineni , Hemanth Mannem , Borra Revanth Kumar
Published: May 2022

Abstract: People practicing social distancing has been an essential step in limiting COVID-19 transmission. Even after repeated warnings, many people fail to practice social separation. We describe a unique method for automatically recognizing two persons who do not follow social distancing rules, such as keeping a distance of around 6 feet between them. Congested traffic or dense pedestrian areas are part of our plan. We use a portable robot with a ultrasonic sensor, and an RGB-D camera and a 2- D shutter, to promote non-collision moving in the crowd and to compute the distance between all humans identified in the camera viewing field. With the use of a heat-sensing sensor, our robot can also detect a person's body temperature and notify safety/healthcare specialists. Indoors, our mobile robot may be linked to the location's CCTV cameras to boost performance based on the number of community violations identified, accurate pedestrian tracking, and other factors. We underline the benefits of employing our technology in a unique and adaptable manner against covid-19, which helps to mitigate the impact of covid-19 cases caused by a lack of social distance. Keywords: Voice-controlled Robotic, Rasberry Pi, L293D, Distance Check, OpenCV, Depth Sensing, Covid-19, Automation Systems, DC Mortors, Sensors.
Counterfeit Currency Detection based on AI
Authors: Patil Prof. Deepika P. , Varma Girija , Poojary Shweta , Sawant Shraddha , Sharma Aditya
Published: May 2022

Abstract: The use of technology has grown tremendously within the few years it has made it easier to have access to advanced printing equipment in the industry which resulted in color printing of currencies to produce counterfeit notes across the country. To eliminate such unethical activities of printing counterfeit currency it is mandatory to make a system that detects the fake currency, In systems such as a money exchanger for example ATMs and vending machines, counterfeit currency notes must be detected beforehand exchanging process takes place. In the past, there have been similar systems developed based on methods such as image processing techniques that are done on the Matlab platform and other such platforms these methods possess some limitations including being less efficient and time-consuming. Our system is designed to eliminate all of the above problems through the use of deep learning techniques by detecting the features of currencies and determining whether its fake with a great accuracy rate. our proposed system verifies the Indian currency notes using Deep learning, deep learning helps in extracting meaningful information from the dataset fed into the machine using a set of methods to perform the classification of images. Our project makes use of the deep learning framework TensorFlow and its high-level API Keras which simplifies the creation of the model making it easier to achieve a less time-consuming and accurate model. Index Terms: Currency Detection, Deep Learning, Deep Neural Network, Convolution Neural Network
Unitary Selective Coupled-Cluster Method
Authors: Fedorov Dmitry A. , Alexeev Yuri , Gray Stephen K. , Otten Matthew
Published: May 2022

Simulating molecules using the Variational Quantum Eigensolver method is one of the promising applications for NISQ-era quantum computers. Designing an efficient ansatz to represent the electronic wave function is crucial in such simulations. Standard unitary coupled-cluster with singles and doubles (UCCSD) ansatz tends to have a large number of insignificant terms that do not lower the energy of the system. In this work, we present a unitary selective coupled-cluster method, a way to construct a unitary coupled-cluster ansatz iteratively using a selection procedure with excitations up to fourth order. This approach uses the electronic Hamiltonian matrix elements and the amplitudes for excitations already present in the ansatz to find the important excitations of higher order and to add them to the ansatz. The important feature of the method is that it systematically reduces the energy error with increasing ansatz size for a set of test molecules. {The main advantage of the proposed method is that the effort to increase the ansatz does not require any additional measurements on a quantum computer.}
Legal Problems of Complex Development of Territories (Part 3)
Authors: Shulzhenko S. I.
Published: May 2022

The article deals with the problems of integrated development of territories in the context of site planning, urban zoning and methods of disposal of public property: privatization, concession agreements, public-private partnerships. Current legislation, including laws of regions of the Russian Federation, was analyzed in detail and gaps in legislation were found. The paper emphasizes the need for further improvement of legislation and law-enforcement practices. The article also focuses on the withdrawal of land plots and objects located on them for the purposes of integrated development of territories and fixing rent rates. Recommendations are provided with regard to changes in existing legislation.
Authoritarian Elections: State of Literature and Research Problems
Authors: Medvedev Yu. S.
Published: May 2022

The article provides an overview of current research on elections in authoritarian political regimes. For this purpose, a number of significant papers on this issue have been selected, published in peer-reviewed academic journals with a high impact-factor. The assessment of the significance of the works was made primarily on the basis of their citation indicators according to Scopus and Google Scholar. It is stated that despite the rapid growth in the number of works on authoritarian elections over the past two decades, it is still far from building a comprehensive theory in this area. The review focuses on the question of how elections affect the survival of authoritarian regimes. In this regard, conflicting positions are presented in the literature. On the one hand, elections are seen as instruments for stabilization of authoritarian rule, on the other hand — as sources of instability, and on the third — as levers of democratization.
Dibujar discursos, construir imaginarios. Cabeceras de prensa ilustrada con caricaturas y discurso visual (1836-1874) (T. I - vol. 2)
Authors: Capellán de Miguel Gonzalo , Viguera Ruiz Rebeca , Irisarri Gutiérrez Raquel
Published: May 2022

The 19th Century witnessed an ongoing progress of the visual communication in the media. This fact is best expressed in the newspaper headers. Although the satire and humour were common resources early used in the press, pictures were only included much later due to the technical constraints. In fact, the use of pictures in the press advanced parallel to the introduction of the different illustration techniques, from the starting engravings to the successful onset of chromolithographs that took place in Spain after the revolution of 1868. This book focus on the illustrated headers to the extent that they worked as an effective newspaper editorial including a “drawn message” especially powerful to reach the reading public. This kind of headers were quite common amongst the satirical press with cartoons and in many cases cartoons were also used in the header itself. To show how important illustrated headers and political cartoons were as part of this new visual journalism, this books carefully considers a sample of over fifty illustrated newspaper headers published from 1836 to 1874.
Release kinetics of Zn from soil and growing media mixtures in a laboratory study
Authors:   Department of Soil Science and Agricultural Chemistry, Directorate of Natural Resource Management,  Tamil Nadu Agricultural University, Coimbatore- 641 003, India, Behera P.R. , Thiyagarajan C. ,   Department of Soil Science and Agricultural Chemistry, Directorate of Natural Resource Management,  Tamil Nadu Agricultural University, Coimbatore- 641 003, India
Published: May 2022

Aim: To assess the zinc release from soils and various soilless growing media mixtures comprising different organic manures mixed at various proportions and to understand the kinetic behaviour of Zn release. Methodology: An incubation study was conducted to examine the time dependent release of zinc from soil and different growing media mixtures of Cocopeat (CP), Vermicompost (VC), Farm Yard Manure (FYM), Pressmud (PM), Vermiculite (VL) and Composted coco peat (CCP) by adding various levels of ZnSO4 (0, 12.5, 25, 37.5 and 50 kg ha-1) for 60 days. The Zn release at required time interval was quantified in soil and growing media mixtures. Results: Higher zinc release was recorded with growing media mixture of Cocopeat + Vermicompost + Pressmud (1:1:1) as compared to other mixtures. The release was linear up to 30 days and dropped at 45 days then increased. Fitting of various kinetic equations for better understanding of zinc release satisfactorily accounted (R2, 0.975 to 0.998, at p ≤0.05) by the zero order kinetic equation. Higher half-life time for Zn release (t1/2) was noticed with Soil + FYM and Cocopeat + Vermicompost + Pressmud mixtures, which confirmed their suitability. A significant negative correlation between pH, C:N ratio with Zn availability as well as linear decrease in organic carbon content prompted zinc release. Interpretation: Based on the amount of zinc released and grouping through principal component analysis with hierarchical clustering, a mixture of Cocopeat +Vermicompost +Pressmud at 1:1:1 was the best growing media mixture. Higher initial zinc availability and half-life time (t1/2) for zinc release makes it more efficient and best growing media mixture to sustain Zn supply to crops for a longer period of time.
Arsenic contamination in food chain - a menace to food safety, human nutrition and health
Authors:   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Das Sarkar S. , Swain P.R. ,   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Manna S.K. ,   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Samanta S. ,   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Majhi P. ,   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Bera A.K. ,   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Das B.K. ,   ICAR-Central Inland Fisheries Research Institute, Barrackpore-700 120, India, Mohanty B.P. ,   ICAR-Fisheries Science Division, Krishi Anusandhan Bhawan II, New Delhi-110 012, India
Published: May 2022

The metalloid arsenic is one of the persistent toxic elements that has affected a vast population of human being across the globe. Its lethal and unsafe levels in drinking water have been witnessed by more than 100 million people in the South and South-east Asia alone. Literatures suggest that contaminated groundwater is the potential source for arsenicosis. Widespread arsenic contamination in surface water, soil and sediments-either of geogenic or anthropogenic origin-has resulted in presence of this carcinogenic pollutant in plant and animal produce such as rice, vegetables, milk, meat, fish, etc. Further, the arsenic mediated stress to all living organisms is of great concern. Thus, the entire biome is under massive threat of arsenic. The extent and severity of arsenic contamination in human diet has challenged the safety aspect of human nutrition and health. The chronic arsenicism in human is of greater concern and demands immediate implementation of mitigative measures. The risk of arsenic toxicity through water as well as food and possible way-out have been discussed in this review.
Molecular phylogeny of Ruppia maritima L. from Chilika Lake, Odhisa using nuclear and plastid genes
Authors:   Department of Biotechnology, Selvam College of Technology (Affiliated to Anna University) Namakkal-637 003, India, Dilipan E. , Arulbalachandran D. ,   Department of Botany, Periyar University, Salem-636 011, India, Rajkumar J. ,   National Centre for Sustainable Agriculture and Wetland Research Foundation Trust, Perambalur-621 212, India, Ramachandran M. ,   Department of Botany, Periyar University, Salem-636 011, India
Published: May 2022

Aim: The present study aims to confirm the molecular identification of Ruppia maritima L. from Chilika Lake, Odhisa using different molecular markers and find out the evolutionary lineage of Ruppia species. Methodology: For molecular identification, R. maritima was collected from Chilika Lake and the rbcL, matK, and ITS gene sequences were investigated and analyzed using BLAST to verify the gene fragment. Phylogenetic tree was constructed using MEGA X software following Neighbor joining (NJ) and Maximum parsimony (MP) methods. Results: The nucleotide (ITS) and plastid gene (rbcL and matK) sequences of Ruppia maritima were examined. The tree topology of R. maritima rbcL and matK gene sequences revealed a paraphyletic cluster at 99 and 100% bootstrap. The conserved region was high in matK (74.8%), followed by rbcL (45.2%) and ITS (19.1%) with seagrass and freshwater species. ITS had the most significant proportion of variable sites (79.7%), followed by rbcL (52.4%) and matK (25.2%). The ITS region showed less parsimonious-informative character (66.1) than rbcL and matK region. Interpretation: The study concludes that the R. maritima was identified through molecular markers, which was a closed lineage with seagrasses than freshwater species.
Substrates for mushroom, enzyme and metabolites production: A review
Authors:   Research Center for Biological Sciences, Autonomous University of Tlaxcala, Tlaxcala, 90000, Mexico, Díaz R. , Díaz-Godínez G. ,   Research Center for Biological Sciences, Autonomous University of Tlaxcala, Tlaxcala, 90000, Mexico
Published: May 2022

The agri-food industry produces a large quantity and variety of foods that are the basis of diet for humans in the world, generating waste with a high content of compounds such as lignin, cellulose and hemicellulose that are difficult to degrade. There are chemical methodologies for the partial degradation of agro-industrial waste, but it carries a possibly greater risk of environmental contamination by the chemicals used for such purposes, so natural alternatives are sought for its degradation and obtain an economic and sustainable benefit for its use through mushroom cultivation. Mushroom production can be carried out using macrofungi that are edible, have medicine value also enzyme or metabolite-producing. Waste such as sunflower seed husk, peanut husk, corn husks, potato husk, coffee husk, cocoa husk, bean shell, pea shell, sawdust from different woods, cob and stubble of corn, oat stubble, tomato stubble, sorghum stubble, straw from various cereals, wheat bran, rice bran, cotton stalks, sugarcane bagasse, tequila agave waste, quinoa waste, coconut and banana wastes, dehydrated jicama, almond leaves, among others, are used as a substrate for the cultivation of mushrooms, which have been used alone or in mixtures, seeking to increase the production of carpophores or their metabolites and enzymes.
Editorial: Globalization and sustainability issues
Authors: De Gárate Pérez Luis Eugenio
Published: May 2022

In recent years the world has undergone major changes resulting from events that had not been seen in our civilization for a long time. The climate change situation was joined by the pandemic caused by COVID 19, which changed our way of life and work. In the year 2021, there was an inflationary rise that had not been seen in decades and which was mainly caused by the deterioration of supply chains as well as by energy prices and the shortage of microprocessors. Now, in the year 2022, we are observing the painful humanitarian crisis derived from the war situation that Ukraine is experiencing and which sets off the alarms of a possible international escalation affecting the global economy. Given these events, the study of sustainability and its impact on organizations becomes important.
CRISPR/Cas12a-based SARS-CoV-2 Rapid Visual Detection and Clinical Application
Authors: Xu Jingsong , Wang Xi , Ma Xiaowei , Sun Zhaoyang , Liu Qian , Li Min , Wang Hua
Published: May 2022

Background: Currently, rapid and widespread testing is essential to
promote early intervention and curb the ongoing COVID-19 pandemic. The
reverse transcription-polymerase chain reaction (RT-PCR) for detecting
novel coronavirus (SARS-CoV-2) is restricted to professional
laboratories and well-trained personnel, thus, limiting its widespread
use in in resource-limited conditions. Methods: To overcome these
challenges, we developed a rapid and convenient assay using recombinase
polymerase amplification (RPA) and clustered regularly interspaced short
palindromic repeats (CRISPR) technology for the rapid detection
SARS-CoV-2, which was named as Visual Detection of RPA-amplified
Products (VDAP). The reaction conditions of the VDAP were optimized and
selected using pure SARS-CoV-2 RNA standards and the sensitivity and
specificity of the VDAP were further determined. Finally, the VDAP was
verified on clinical specimens. Results: The VDAP was performed at 37 °C
for 15 min, and the result was visible by the naked eye. The limits of
detection (LODs) of the VDAP for the target ORF1ab and N genes are 70
and 500 copies, respectively. No cross-reactivity was observed with the
RNA standard samples of four respiratory viruses or clinical samples of
common respiratory viral infections. These results confirmed that the
assay was highly specific. Thirty SARS-CoV-2 positive and 30 SARS-CoV-2
negative patient specimens were analyzed. We compared these results to
RT-PCR, the overall sensitivity and specificity of the VDAP compared to
RT-PCR for detection SARS-CoV-2 were 93.3% and 100.0%, respectively.
Conclusions: The VDAP is a simple, highly specific, and convenient assay
for the detection of SARS-CoV-2 in resource-limited conditions
Differentiating Associations of Glycemic Traits With Atherosclerotic and Thrombotic Outcomes: Mendelian Randomization Investigation
Authors: Yuan Shuai , Mason Amy M. , Burgess Stephen , Larsson Susanna C.
Published: May 2022

We conducted a Mendelian randomization analysis to differentiate associations of four glycemic indicators with a broad range of atherosclerotic and thrombotic diseases. Independent genetic variants associated with fasting glucose (FG), 2 h glucose after an oral glucose challenge (2hGlu), fasting insulin (FI), and glycated hemoglobin (HbA1c) at the genome-wide significance threshold were used as instrumental variables. Summary-level data for 12 atherosclerotic and 4 thrombotic outcomes were obtained from large genetic consortia and the FinnGen and UK Biobank studies. Higher levels of genetically predicted glycemic traits were consistently associated with increased risk of coronary atherosclerosis–related diseases and symptoms. Genetically predicted glycemic traits except HbA1c showed positive associations with peripheral artery disease risk. Genetically predicted FI levels were positively associated with risk of ischemic stroke and chronic kidney disease. Genetically predicted FG and 2hGlu were positively associated with risk of large artery stroke. Genetically predicted 2hGlu levels showed positive associations with risk of small vessel stroke. Higher levels of genetically predicted glycemic traits were not associated with increased risk of thrombotic outcomes. Most associations for genetically predicted levels of 2hGlu and FI remained after adjustment for other glycemic traits. Increase in glycemic status appears to increase risks of coronary and peripheral artery atherosclerosis but not thrombosis.
Association Between Diabetes and Gray Matter Atrophy Patterns in a General Older Japanese Population: The Hisayama Study
Authors: Hirabayashi Naoki , Hata Jun , Furuta Yoshihiko , Ohara Tomoyuki , Shibata Mao , Hirakawa Yoichiro , Yamashita Fumio , Yoshihara Kazufumi , Kitazono Takanari , Sudo Nobuyuki , Ninomiya Toshiharu
Published: May 2022

OBJECTIVE

To examine the association between diabetes and gray matter atrophy patterns in a general older Japanese population.

RESEARCH DESIGN AND METHODS

In 2012, a total of 1,189 community-dwelling Japanese aged ≥65 years underwent brain MRI scans. Regional gray matter volumes (GMV) and intracranial volume (ICV) were measured by applying voxel-based morphometry (VBM) methods. The associations of diabetes and related parameters with the regional GMV/ICV were examined using an ANCOVA. The regional gray matter atrophy patterns in the subjects with diabetes or elevated fasting plasma glucose (FPG) or 2-h postload glucose (2hPG) levels were investigated using VBM.

RESULTS

Subjects with diabetes had significantly lower mean values of GMV/ICV in the frontal lobe, temporal lobe, insula, deep gray matter structures, and cerebellum than subjects without diabetes after adjusting for potential confounders. A longer duration of diabetes was also significantly associated with lower mean values of GMV/ICV in these brain regions. The multivariable-adjusted mean values of the temporal, insular, and deep GMV/ICV decreased significantly with elevating 2hPG levels, whereas higher FPG levels were not significantly associated with GMV/ICV of any brain regions. In the VBM analysis, diabetes was associated with gray matter atrophy in the bilateral superior temporal gyri, right middle temporal gyrus, left inferior temporal gyrus, right middle frontal gyrus, bilateral thalami, right caudate, and right cerebellum.

CONCLUSIONS

The current study suggests that a longer duration of diabetes and elevated 2hPG levels are significant risk factors for gray matter atrophy in various brain regions.
Reliability of Class II Bulk-fill Composite Restorations With and Without Veneering: A Two-year Randomized Clinical Control Study
Authors: Kaisarly D , ElGezawi M , Haridy R , Elembaby A , Aldegheishem A , Alsheikh R , Almulhim KS
Published: May 2022

Bulk-fill composites are increasingly used in stress-bearing areas in posterior teeth, with a diversity of reports concerning their effectiveness and clinical reliability. The objective of this randomized clinical control study was to investigate the effectiveness of bulk-fill versus veneered bulk-fill Class II composite restorations. A double-blind split-mouth technique was employed in 80 subjects recruited for restoring Class II caries in one molar bilaterally in the same arch following respective inclusion and exclusion criteria and after obtaining written consent. While one molar was randomly restored with bulk-fill composite using the sealed-envelope technique, Tetric N-Ceram Bulk Fill (TBF), the contralateral was restored with a bulk-fill composite veneered with an increment of a heavy-body microhybrid composite—Tetric-Ceram HB (TBF/V). Box-only cavities were prepared and received etch-and-rinse adhesive bonding and Tetric N-Bond treatment before composite insertion. Restorations were assessed at 24 hours, 2 weeks, 6 months, 12 months, and 24 months for esthetic, functional, and biological quality employing the FDI ranking criteria. Friedman repeated-measures analysis of variance, the McNemar test, and the Cohen’s kappa statistical test were used for statistical analysis. Over a 24-month interval, none of the test restorations were ranked as clinically unsatisfactory. In terms of functional criteria, clinically excellent restorations were significantly more prevalent in TBF/V than in TBF (p<0.05). For long-term satisfactory performance of Class II bulk-fill composites, an occlusal veneering increment of conventional heavy body microhybrid composite appears to be favorable.
Literature Review on Combining Heuristics and Exact Algorithms in Combinatorial Optimization
Authors: Tahami Hesamoddin , Fakhravar Hengameh
Published: May 2022

There are several approaches for solving hard optimization problems. Mathematical programming techniques such as (integer) linear programming-based methods and metaheuristic approaches are two extremely effective streams for combinatorial problems. Different research streams, more or less in isolation from one another, created these two. Only several years ago, many scholars noticed the advantages and enormous potential of building hybrids of combining mathematical programming methodologies and metaheuristics. In reality, many problems can be solved much better by exploiting synergies between these approaches than by “pure” classical algorithms. The key question is how to integrate mathematical programming methods and metaheuristics to achieve such benefits. This paper reviews existing techniques for such combinations and provides examples of using them for vehicle routing problems.
Smart Patient Monitoring System
Authors: P Sabeena , Sheeri Uma , Mourya Divya
Published: May 2022

During the current COVID-19 epidemic, IoT-based health monitoring devices could be incredibly useful for COVID-19 sufferers. This study develops an IoT-based system for real-time health monitoring that incorporates the patient's measured body temperature, pulse rate, and oxygen saturation, which are the most important critical care indicators. A liquid crystal display (LCD) shows the current temperature, heart rate, and oxygen saturation level, which can be easily linked with a mobile application for quick access. Using an Arduino Uno-based device, the recommended IoT-based technique was tested and verified on five human test subjects. The system's results were promising: the data collected by the system was saved fast. The system's results were found to be accurate when compared to other commercially available devices. IoT-based gadgets could be immensely valuable in saving people's lives during the COVID-19 epidemic.
Efficacy of Chlorhexidine Intracanal Medicament on Periodontal Healing in Concomitant Endodontic-Periodontal Disease with Communication: A Randomized Clinical Trial
Authors: Sharma Anuradha , Tewari Shikha , Tewari Sanjay , Sharma Rajinder Kumar , Narula Satish Chander , Gaur Ankit
Published: May 2022

Background: Chlorhexidine has been extensively used in various periodontal and endodontic infections. However its use in combined endo perio lesion has not been defined clearly. The aim of this study was to evaluate the efficacy and synergistic effect of chlorhexidine intra canal medicament with combination of comprehensive periodontal therapy in endodontic periodontal lesions.

Materials and Methods: The patients were randomly assigned group 1 and group 2. Both the groups were treated by phase 1 and phase 2 periodontal treatments while group 1patients received conventional root canal treatment and group 2 patients were treated by chlorhexidine intracanal medicament for 6 months. The primary outcome measures are probing pocket depth, relative attachment level and bleeding on probing.

Results: Both groups showed improvement on primary outcome measures. However, group 2 showed significant more reduction in probing pocket depth (PPD) and bleeding on probing (BOP) and gain in relative attachment level (RAL) after complete 6 months treatment with chlorhexidine. Postoperative measurements from group1 and group 2 showed reductions in mean PPD of 2.63±0.98 and 3.57±1.13 mm, mean BOP reduction of 76.78±31.41and 87.54±22.35 and mean RAL gains of 2.42±1.27 and 3.42±0.94 mm, respectively.

Conclusion: 2% CHX gel used as an intracanal medicament along with periodontal treatment demonstrated more favourable treatment response in terms of periodontal healing.
Familial Aggregation Pattern of Non-Syndromic Combined Aplasia of Maxillary Lateral Incisors and Third Molars
Authors: Albu Cristina-Crenguta , Bencze Maria-Angelica , Dragomirescu Anca-Oana , Vlădan Cristian , Albu Ştefan-Dimitrie , Stanciu Ioana-Andreea , Pavlovici Romina-Christiana , Ionescu Ecaterina
Published: May 2022

Congenitally missing teeth, the most common dental anomaly, refers to teeth whose germ did not develop sufficiently to allow the differentiation of the dental tissues.

This study aimed to determine the importance of genetic investigations on oral health-related quality of life in children with congenitally missing lateral incisors.

We are presenting a genetic study performed by the A.S. Division of Medical Genetics, in Bucharest, Romania, in the case of a patient (16-year-old boy) presenting bilateral maxillary lateral incisor agenesis in the permanent dentition, a hereditary, non-syndromic familial hypodontia in three successive generations, which suggest an autosomal dominant inheritance, combined with aplasia of maxillary third molars.

The oral visual examination and the radiological exam of the patient were completed with the oral photographic examination, the family historyinvestigation, the pedigree, and the analysis of the studied family’s genealogical tree, after acquiring the signed informed consent of the patient.

The genetic investigations of the congenitally missing lateral incisors, allow the calculation of the anomaly recurrence risk amongst offspring, and the direct and specialized monitoring of affected families, in order to limit the potential complications.
Palynostratigraphy and Palaeoenvironmental Interpretation of Outcrop Formations in Parts of Ini-Akwa Ibom State, Southeastern Niger Delta Basin, Nigeria
Authors: Owoeye Tejumade A. , Bassey Clement E. , Harry Thomas A. , Asuaiko Ekpedeme R. , Ibanga Veronica E.
Published: May 2022

The palynological study of the outcrop Formations in parts of Ini Local Government Area of Akwa Ibom State, Southeastern Niger Delta Basin, Nigeria has contributed to unraveling the palynostratigraphy and paleoenvironments of the outcrops through the use of diagnostic palynomorphs. The section is made up of carbonaceous shales, sandstones, mudstones and claystones. The conventional maceration technique for recovering acid-insoluble organic-walled microfossils from sediments was used to prepare twenty outcrop samples for palynological studies. The samples produced poor to fair diversity assemblages of palynomorphs. A total of 176 palynomorphs species were recorded, with 48% pollen grains, 33% spores, 12% dinoflagellate cysts, 5% fungal spores, and 2% microforam test wall linings. Based on stratigraphically selected index taxa recovered,age determination and correlation wereestablished. The samples from Imo Formation were assigned Late Paleocene-Eocene based on Psilatricolporites Crassus, Retitricolporites irregularies, Psilatricolporites sp. and Leiotriletes adriennis with the presence of Paleocene dinoflagellate cysts such as Lejeunacysta beninensis and Selenopemphix nephroides. Ameki samples were dated Early-Middle Eocene based on Proxapertites operculatus, Retistephanocolpites williamsi, Mauritidites crassiexinius, Monocolpites marginatus and Longapertites marginatus. Ogwashi-Asaba shale samples were assigned Late Eocene-Early Oligocene due to the abundant presence of Verrucatosporites usmensis, Laevigatosporites discordatus and Retitricolporites irregularis while Eze-Aku samples were tentatively assigned Paleocene because of the presence of two pollen index fossils Proxapertites operculatus and Pachydermites diederixi. Inferred depositional conditions suggest that Imo Formation was deposited in a shallow marine or near shore brackish water estuarine environment. The Ameki Formation was accumulated in a marginal marine or near shore, brackish water-estuarine environment in the upper deltaic setting. The Ogwashi-Asaba Formation was deposited in a progradational shoreline moving between the brackish water and fresh water deltaic plain. The Eze-Aku Formation was deposited in an upper foreshore fresh water environment. The palynological study of the samples are Paleogene Formations while the paleoenvironment is in a costal deltaic to shallow-marine environment and are appropriate for hydrocarbon accumulations and exploration.
Source Rock Evaluation of Shale in Parts of Ini Local Government Area, Akwa Ibom State, Southeastern Niger Delta Basin, Nigeria
Authors: Asuaiko Ekpedeme R. , Bassey Clement E. , Harry Thomas A. , Owoeye Tejumade A. , Ibanga Veronica E.
Published: May 2022

Total organic carbon and Rock – Eval pyrolysis studies were conducted on seven (7) shale samples outcropping in parts of Ini Local Government Area of Akwa Ibom State, Southeastern Niger Delta, Nigeria. The studies were done to determine the quantity and quality of organic matter in the shale source rock, and their hydrocarbon generation potential. Total organic carbon (TOC) values indicate poor to excellent organic richness with values ranging from 0.46 wt.% to 5.98 wt.%. The free oil content (S1) values range from 0.02-0.21 mg HC/g rock, (mean = 0.07 mg HC/g rock), while the source rock potential (S2) ranges from 0.08-1.09 mg HC/g rock with an average value of 0.45 mg HC/g rock both indicating poor source rock generative potential. The Hydrogen Index (HI) and the Oxygen Index (OI) range from 11 mg HC/g TOC to 59 mg HC/g TOC and 41 mg CO/g TOC to 74 mg CO/g TOC with an average value of 27.28 mg HC/g TOC and 55.71 mg CO/g TOC respectively. HI versus OI and S2 versus TOC cross plot results indicate that shale in parts of Ini Local Government Area contains organic matter capable of generating kerogen type III to type 1V which is gas prone.
Relation between Climate, Agricultural Land Cover and Bird Richness in a Mediterranean Natura 2000 Wetland
Authors: Soulopoulou Polyxeni , Padilla Blanco Maria Ascension , Molina Joan Antonio Antonio , Damos Petros
Published: May 2022

In this study we explore for the first time the combined effect of climate variables and remote sensing land cover indicators on bird richness in a representative wetland location of the Thermaikos gulf Natura 2000 protected area in Northern Greece. In particular the association between bird diversity and climate, as well as remote sensed land cover indices was explored for seven successive seasons using correlation analysis and a Cox-Box transformed multivariate linear model. Three climate variables were tested, mean temperature, rain level and mean relative humidity and three land cover indices, the Normalized difference index (NDVI), the atmospheric resistance vegetation index (ARVI) and an agricultural band combination index (ABCI). Among the environmental drivers explored, temperature, rain levels and ABCI were significantly correlated to bird richness in contrast to NDVI and ARVI which showed a lower correlation, while relative humidity displayed the poorest correlation. Thus, temperature, rain levels and agricultural intensity significantly influenced bird composition. Additionally, the multivariable linear model indicates that temperature, rain levels and ABCI have a statistically significant effect (p<0.05) on bird species richness accounting for 73,02% of data variability. Based on the overall model results and the related 3D contour plot simulation we can conclude that in general, bird species richness increases with an increase in temperature and Rain, as well as with a decrease in agricultural intensity (ABCI). Understanding the factors that can affect bird biodiversity of species is of great importance in ecosystem management and species conservation.
The Generation, Composition and Fate of Landfill Leachate: A Review
Authors: Al Raisi Sumaiya Abdul Hameed
Published: May 2022

The quantity of waste generated each year is in increase. Landfilling is one of the predominant methods for municipal waste disposal. Unfortunately, leachate is formed during the landfill operations. Therefore, proper management of leachate is essential to avoid unwanted impacts on the environment. In order to do that, the composition in relation to stage of generation should be studied. In this review, the generation and composition of leachate are highlighted.
Backscattering of MeV Electrons. An Analysis of Tabata’s Experiment with Geant4
Authors: Kahane Sylvian
Published: May 2022

A series of simulations were conducted with Geant4 in order to verify the electron backscattering experiments performed by Tabata in the low Z elements of Be, C and Al. In general, a quite good agreement was obtained by carefully choosing the physics lists employed. These results invalidate the claim made before by Kirihara et al about the presence of experimental errors in Tabata’s work.
Outperforming managers in setting strategic targets by using a novel Computer-Aided Management (CAM) approach
Authors:   Managing Director, Transparency Lab BV Amsterdam, Netherlands, Poll Jan van de
Published: May 2022

The minimal availability of scientific literature suggests that managers hardly consider internal organizational consequences as organizational Alignment, implementation effort, and Capacity to change when setting strategic targets. This study bridges this gap in the literature by employing a self-developed algorithm that assists managers by focusing on consequences that would make the target’s implementation nearly impossible. In our study: too little organizational alignment, setting too ambitious targets, and insufficient capacity to change. We first quantified how 3,300 managers in 500+ organizations set targets by themselves in terms of these three consequences. We defined this group as Classical Management (CM). Then, in the second batch of 1,000 managers in 90 organizations, we provided our algorithm that quantified their targets' internal consequences. We defined this group as Computer-Aided Management (CAM). Our finding is that comparing two target-setting approaches (CM versus CAM) indicated that the latter chose targets with a “consequence score” six times better than the former. Our recommendation: in an organizational transformation, ask as many employees and managers as possible and let an algorithm upgrade their input to refine the decision-making process.
Do the organizational proficiencies dominate in innovation and can manage the major factors of innovation? A Systematic Literature Review of Last 5 Decades
Authors:   University of Newcastle, Australia,  Senior Management Counsellor, Bangladesh Institute of Management (BIM), Bangladesh, Newaz Mohammad Nazmi , Datta Palto ,   Regent College, UK, Alam Raju Mohammad Kamrul ,   RUDN University, Russia
Published: May 2022

Purpose of the research: Innovation is the key to organizational success in the present complex and competitive business environment. Numerous factors are continuously affecting the innovative performances of the organizations. researchers across the globe, have pointed out different factors and, often, several thematic factors that have been proven with strong positive effect on the innovation activities and innovation outcomes. The research attempted to find out the most dominating factors of innovations in the organizations through an extensive systematic literature review that ranges from 1973 to 2021. Methodology: Resulting on the 102 individual influencing factors of innovation through the literature review, the researchers classified those factors into 10 thematic groups, e.g., culture, HRM functions, top management orientation, external environment, organizational proficiencies, leadership, knowledge management, market pressure and competition, technology adaptation and research and development. Besides, the researchers endeavoured to figure out the interrelationships among the identified dominating factors. Findings: Finally, through couple of propositions, the research successfully identified 5 dominating factors of innovation, e.g., organizational proficiencies, external environment, culture, market pressure and competition, and HRM functions. Among 5, the factors of organizational proficiencies noticed the most dominating. The interrelationships between organizational proficiencies and external environment, culture, market pressure and competition, and HRM functions examined and delivered through an easy-to-understand diagram. Originality and implications: This robust research is very valuable, firstly, it has accumulated the factors of innovation from the studies of last 50 years, secondly, it has established 10 thematic factors of innovation, and thirdly, the research has figured out the most crucial thematic factor of innovation which accelerates innovation and can control the threats of other relevant factors of innovation.
Apresentação
Authors: Dupas Danilo
Published: May 2022

O Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (Inep) entrega mais um volume dos Cadernos de Estudos e Pesquisas em Políticas Educacionais. Trata-se de uma entrega responsiva às determinações da Lei 13.005 de 25 de junho de 2014, que aprova o Plano Nacional de Educação (PNE), a qual incumbiu a este Instituto a tarefa de publicar estudos para aferir a evolução no cumprimento das metas estabelecidas no Plano...
Panorama dos alunos de educação em tempo integral no brasil
Authors: De Freitas Barros Gabriela Thamara , De Oliveira Adolfo Samuel
Published: May 2022

O objetivo deste estudo é traçar um panorama dos alunos de educação em tempo integral (ETI) no Brasil, transcorridos cinco anos do Plano Nacional de Educação (PNE) – 2014/2019 –, e se apresenta como a continuidade da publicação: “Panorama das escolas de educação em tempo integral no Brasil: proposta de análise das estratégias da Meta 6 do PNE no período de 2014/2019”. Os resultados relacionados aos alunos são apresentados desagregados por etapas da educação básica e por redes de ensino (públicas e privada). As análises se apoiam em um conjunto de variáveis demográficas e socioespaciais e são apresentadas neste trabalho para o Brasil, porém, nas planilhas que acompanham o estudo, há também dados de unidades da Federação e municípios. Busca-se apontar caminhos para a análise da situação da ETI, com destaque para algumas de suas estratégias, conforme Meta 6 do PNE; subsidiar o aprimoramento ou a reorientação de programas e ações relativos à promoção equitativa da ETI nas escolas; e fornecer informações para os entes federativos utilizarem em suas conferências educacionais.

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Substance Abuse during the Pandemic: Implications for Labor-Force Participation
Authors:   Emory University, Kopecky Karen
Published: May 2022

The labor-force participation rates of prime-age U.S. workers dropped in March 2020-the start of the COVID-19 pandemic-and have still not fully recovered. At the same time, substance-abuse deaths were elevated during the pandemic relative to trend indicating an increase in the number of substance abusers, and abusers of opioids and crystal methamphetamine have lower labor-force participation rates than non-abusers.
Comparison Different Estimation Methods for the Parameters of Non-Linear Regression
Authors: AdilabdAlkareem Zaid , Kalaf Bayda Atiya
Published: May 2022

Nonlinear regression models are important tools for solving optimization problems. As traditional techniques would fail to reach satisfactory solutions for the parameter estimation problem.  Hence, in this paper, the BAT algorithm  to estimate the parameters of  Nonlinear Regression models is used . The simulation study is considered to investigate the performance of the proposed algorithm with the maximum likelihood (MLE) and Least square (LS) methods. The results show that the Bat algorithm provides accurate estimation and it is satisfactory for the parameter estimation of the nonlinear regression models than MLE and LS methods depend on Mean Square error.
Optimal Control Problem To Robust Nonlinear Descriptor control Systems with Matching Condition
Authors: Zaboon Dr. Radhi Aliu
Published: May 2022

Abstract

    In this paper, the solutions to class of robust non-linear semi-explicit descriptor control systems with matching condition via optimal control strategy are obtained. The optimal control strategy  has been introduced and  developed in the sense that, the optimal control  solution is robust solution to the given non-linear uncertain semi-explicit descriptor control system. The necessary mathematical proofs and remarks as well as  discussions are also proposed. The present approach is step-by-step illustrated by application example to show its effectiveness a and efficiency to compensate  the structure uncertainty in the given semi-explicit (descriptor) control system