bluuebunny/crossref_metadata_2025 huggingface dataset:
New Model for the Prediction of Vision-Related Outcomes in Young Children with Mechanical Ocular Conditions and Comparison with Other Models
Authors: Shah Mehul A , Shah Shreya , Kataria Apeksha , Gunay Ruhi , Makhloga Sakshi , Vaghela Mrugesha
Published: February 2022

Purpose Herein, we compared the efficacy among the OTS, POTS, and TOTS for prognosis prediction in Indian children who had mechanical ocular conditions causing traumatic cataract. Methods This prospective, interventional study recruited consecutive children undergoing operation for traumatic cataracts caused by mechanical eye injuries at Drashti Netralaya. The following details were obtained from medical files: the circumstance and time of injuries, penetrating injury type, initial and final visual acuity (VA), time of operation, and associated eye diseases. Specific variables were employed to determine the OTS, TOTS, and POTS. For all patients, the final and predicted VA determined using all scores were compared using Fischer’s exact test; the accuracy, specificity, and sensitivity were evaluated for all scores by using the AUROC. Results We enrolled 124 eyes. Patients’ mean value for age was 4.6 ± 1.29 years; 44 (35.41%) and 74 (64.5%) were female and male patients, respectively. Visual outcomes significantly improved after operation, and the outcomes did not differ between closed- and open-globe injuries (P = 0.162). The actual and predicted VA did not exhibit a statistically significant difference among the three scores. The TOTS and POTS were more suitable for evaluating low-risk injuries, whereas the OTS could more efficiently examine high-risk cases. Conclusion The TOTS and POTS were more accurate than the OTS in VA prediction after operation in toddlers with traumatic cataracts caused by mechanical globe injury. All the examined scores can be helpful in estimating VA following treatment.
Effective description of non-equilibrium currents in cold magnetized plasma
Authors: Iqbal Nabil
Published: February 2022

The dynamics of cold strongly magnetized plasma -- traditionally the domain of force-free electrodynamics -- has recently been reformulated in terms of symmetries and effective field theory, where the degrees of freedom are the momentum and magnetic flux carried by a fluid of cold strings. In physical applications where the electron mass can be neglected one might expect the presence of extra light charged modes -- electrons in the lowest Landau level -- propagating parallel to the magnetic field lines. We construct an effective description of such electric charges, describing their interaction with plasma degrees of freedom in terms of a new collective mode that can be thought of as a bosonization of the electric charge density along each field line. In this framework QED phenomena such as charged pair production and the axial anomaly are described at the classical level. Formally, our construction corresponds to gauging a particular part of the higher form symmetry associated with magnetic flux conservation. We study some simple applications of our effective theory, showing that the scattering of magnetosonic modes generically creates particles and that the rotating Michel monopole is now surrounded by a cloud of electric charge.
Meralarda Otlayan Hayvanları Tehdit Eden Çayır Tetani Riski
Authors: YILMAZ Ülkü
Published: February 2022

Çayır tetanisi sığır ve koyunlarda kandaki düşük magnezyum eksikliğine bağlı gelişen metabolik bir bozukluktur. Bu bozukluğun başlıca sebebi ise merada otlanılan bitkilerin bazı besin elementi konsantrasyonları arasındaki dengesizliktir. Bu nedenle, meralarda doğal olarak yetişen bitkilerin makro besin elementi konsantrasyonları ve bunların birbirlerine olan oranının bilinmesi hayvan sağlığı açısından önemlidir. Hayvan sağlığını tehdit eden bu rahatsızlığın önüne geçebilmek için öncelikli olarak meralarda çayır tetanisi risk durumlarının belirlenmesi ve bu doğrultuda bölgeye özgü uygun gübreleme programları geliştirilmelidir. Bu makale ile çayır tetanisinin nedenleri bitki-toprak-hayvan etkileşimleri göz önüne alınarak değerlendirilmiş ve daha önce yapılmış çalışmalar doğrultusunda ülkemizde meraların çayır tetani risk durumları karşılaştırılmıştır.
Fuzzy Logic PID Design using Genetic Algorithm under Overshoot Constrained Conditions for Heat Exchanger Control
Authors: ÇİMEN Murat Erhan , GARİP Zeynep , EMEKLİ Mehmet , BOZ Ali Fuat
Published: February 2022

In this study, a controller design was carried out for the heat exchanger, which is widely used in the industry. Firstly, Zeigler Nichols step, Zeigler Nichols frequency, AMIGO step and AMIGO frequency methods were used for the PID controller in the control of this system. Then, using the mathematical model of the heat exchanger system, 2%, 5% and 10% overshoot constraints were added to the ISE performance criteria, and controller designs were realized with genetic algorithm. In addition, two different topologies were used for the fuzzy PID controller in the controller design. The results obtained were examined and it was seen that the design realized with fuzzy logic for this study could be improved more. However, topologies designed with fuzzy logic have obtained better results than classical PID controllers and the classical PID designed study in the literature.
Synthesis and Characterization of the Schiff Base-on Functionalized Novel Sporopollenin Microcapsule and Its Use for Effective Adsorption of Cu (II)
Authors: BİLGİÇ Ali
Published: February 2022

Cu (II) ions, which cause serious diseases such as cancer and liver damage, have an important place, especially in water pollution. To effectively remove these deadly copper (II) ions from aqueous solution, the synthesis of a new functionalized sporopollenin microcapsules (Sp-CPTS-HNMAA) to be used as an adsorbent was aimed. Schiff base (HNMAA), used to functionalize the surface of sporopollenin, was obtained as a result of the reaction of 2-Hydroxy-1-naphthaldehyde and glycine and was characterized by 1H and 13C NMR. The synthesized Sp-CPTS-HNMAA microcapsule adsorbent was successfully characterized by FTIR, XRD, and SEM techniques. The effects of initial Cu (II) concentration, temperature, pH, anion, contact time, and adsorbent dose were researched in adsorption experiments. The adsorption equilibrium was calculated as 92.73%, with a contact time of 150 min, initial Cu (II) ion concentration of 30 mg L-1, pH = 6, and maximum Cu(II) removal with 0.03 g adsorbent dose. The maximum Cu (II) adsorption capacity of Sp-CPTS-HNMAA microcapsule adsorbent was calculated from the Langmuir isotherm and found to be 32.57 mg g-1. Adsorption isotherm and kinetic studies indicated that it fits the Langmuir adsorption isotherm and pseudo-second-order kinetic model. The results of thermodynamic studies show that the adsorption reaction is reversible, spontaneous, and endothermic, and also showed that the adsorption of Cu (II) ions on Sp-CPTS-HNMAA is a chemical adsorption process.
Neuroprotective Efficacy of Edaravone against Arsenic-Induced Behavioral
and Neurochemical Deficits in Rats: Amelioration of Cholinergic
and Mitochondrial Functions
Authors: Arora Mandeep K. , Jangra Ashok , Singh Deepika , Tomar Ritu
Published: February 2022

Background:

A substantial amount of evidence indicates that long-term arsenic exposure
leads to various types of pathological complications, especially cognitive dysfunction.

Objective:

The present study was designed to assess the neuroprotective potential of edaravone (a
potent free radical scavenger) against arsenic-induced neurotoxicity in Wistar rats.

Methods:

Adult male Wistar rats were randomly divided into five groups. Arsenic (20 mg/kg/day;
p.o.) and Edaravone (5 and 10 mg/kg/day; i.p.) were administered in different experimental groups for
28 days.

Results:

The results of various behavioral test paradigms revealed that arsenic caused significant
learning and memory deficits, along with anxiety-like behavior. In biochemical analysis, we found
marked elevations of oxidative-nitrosative stress (indicated by augmentation of lipid peroxidation and
nitrite) and a reduction of glutathione levels in the hippocampus and frontal cortex region of arsenictreated
rats. Moreover, arsenic administration caused mitochondrial complexes impairment and reduction
of acetylcholinesterase level. On the other hand, chronic treatment with edaravone (10 mg/kg)
significantly ameliorated the arsenic-induced behavioral deficits and neurochemical anomalies.

Conclusion:

This study suggests that edaravone confers neuroprotection against arsenic-induced
memory impairment and anxiety-like behavior, which may be attributed to the inhibition of oxidativenitrosative
stress and amelioration of cholinergic and mitochondrial functions.
The Perspectives of Health Professionals on Neonatal Genetic Screening
Authors: Abeje Tayachew Admas
Published: February 2022

Background:

After completing the human genome, the project has created opportunities to improve the diagnosis, prevention, and treatment of disease. However, the limitations in health professionals (HPs), genetic knowledge, technological resources, and a lack of scientific research prevent global genetic screening from being addressed.

Objectives:

The objective is to evaluate HPs’ knowledge, attitude, and future outlook toward neonatal genetic screening.

Methods:

The study was carried out in a cross-sectional survey. A simple random sampling technique was used to select health centers and healthcare professionals. Questionnaires were used to assess HPs knowledge, attitude, and future perspectives towards genetic disease screening.

Results:

Among the total of 384 HPs, 79.7% and 20.3% had good and poor knowledge on the basic idea of genetic screening, respectively. Similarly, 92.4% and 7.6% of HPs had good and poor knowledge, respectively, on the parental history of genetic disease. Besides, 68.8% and 31.3% of HPs had good and poor knowledge on the possibility of treating genetic diseases. Lastly, 81.3% and 18.5% of HPs had a positive and negative attitude towards genetic screening.

Conclusion:

The majority of HPs had good genetic knowledge and a positive attitude on the basic idea of genetic screening, parental history, and the possibility of treating genetic disease, respectively. However, the practice of genetic screening is not yet addressed in Ethiopia. Genetic HPs and nongenetic HPs have to encourage the concerned bodies, including the governmental system, to implement genetic screening in Ethiopia.
Subcategories of Fibromyalgia - A New Concept
Authors: Metyas Samy , Chen Christina , Joseph Marina , Hanna Nicholas , Basta Joseph , Khalil Andrew
Published: February 2022

Fibromyalgia has previously been categorized as primary, secondary, and juvenile fibromyalgia.
However, these definitions do not adequately explain the etiopathology of disease, nor
do they help direct new specific therapies. Herein, we review the previously known categorizations
of fibromyalgia. Based on common patient characteristics and previously studied pathophysiologies,
we propose new subcategorizations of fibromyalgia that we have self-narrated, including hormonal
fibromyalgia, neuroendocrine fibromyalgia, psychologic fibromyalgia, inflammatory fibromyalgia,
and lastly neuropathic fibromyalgia. To verify, add to, and fully describe these selfnarrated
categories of fibromyalgia that we have proposed, future research needs to be done.
effect of anxiety on the smooth production of breast milk in postpartum mother in COVID-19 pandemic
Authors: Jayanti Christin , Yulianti Devi
Published: February 2022

The COVID-19 pandemic makes mothers who are about postpartum experience anxiety from mild to moderate such as fear in the crowd and confine themselves at home. So that it affects the production of breast milk of postpartum mothers, due to the increase in cortisol makes the inhibition of the transportation of the hormone oxytocin in its secretion so that the production of breast milk is inhibited. To identify the influence of anxiety on the smooth production of breast milk in mothers in the COVID-19 pandemic at RSPAD Gatot Soebroto. This type of research is an analytic survey using a cross-sectional design. The sample was a postpartum mother on the 2nd Floor of PIS RSPAD Gatot Soebroto numbered 35 people. Analyze the data using Chi-Square. There is an influence of COVID-19 pandemic anxiety on the production of postpartum mothers' breast milk (p-value: 0.000 < ? : 0.05). It is recommended for postpartum mothers to always think positively and seek information about health, especially COVID-19, or do relaxation so as not to worry.
A discussion on the order of magnitude of corrosion current density in reinforcements of concrete structures and its link with cross-section loss of reinforcement
Authors: Francois Raoul
Published: February 2022

This paper deals with the determination of the corrosion current density in chloride-induced corrosion in reinforced concrete structures. Because the corrosion of steel bars is generally localized, calculations of the densities of corrosion current need to take the real surface areas of anodic zones into account. Nowadays, in the lab or on site, the calculation of densities of corrosion are based on arbitrary steel surface areas, which merge anodic and cathodic zones. As a result, the order of magnitude of corrosion current density is not correct; it is underestimated. A second aspect of the paper is the relationship between corrosion current density and the prediction of service life in RC structure when including a part of the propagation phase. The consequences of the corrosion current density on mechanical properties such as corrosion-induced cracking or load-bearing capacity must consider that anodic areas grow both laterally and in-depth.
How Spies Think
Authors: Omand Sir David
Published: February 2022

On November 23, 2021, Sir David Omand, visiting Professor in War Studies at King’s College London and Former Director General of the Government Communications Headquarters (GCHQ), presented on How Spies Think: Ten Lessons in Intelligence at the 2021 CASIS West Coast Security Conference. The presentation was followed by a question and answer period session with questions from the audience and CASIS Vancouver executives. The key points discussed were the role of intelligence in decision making, and the SEES model—Situational Awareness, Explanation, Estimation and modelling, and Strategic notice—as a valuable tool for analysts.
Automated Quality and Process Control for Additive Manufacturing using Deep Convolutional Neural Networks
Authors:   Department of Computer Science, Southern University and A&M College, Baton Rouge, Louisiana 70813, USA, Banadaki Yaser , Razaviarab Nariman ,   Department of Computer Science, Southern University and A&M College, Baton Rouge, Louisiana 70813, USA, Fekrmandi Hadi ,   Department of Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA, Li Guoqiang ,   Department of Mechanical & Industrial Engineering , Louisiana State University, Baton Rouge, LA 70803, USA,   Department of Mechanical Engineering, Southern University and A&M College, Baton Rouge, Louisiana 70813, USA, Mensah Patrick ,   Department of Mechanical Engineering, Southern University and A&M College, Baton Rouge, Louisiana 70813, USA, Bai Shuju ,   Department of Computer Science and Information Technology, Clayton State University, Morrow, GA 30260 USA, Sharifi Safura ,   Grainger College of Engineering, Physics, University of Illinois Urbana-Champaign, Urbana, Illinois, 61801, USA
Published: February 2022

Additive Manufacturing (AM) is a crucial component of the smart manufacturing industry. In this paper, we propose an automated quality grading system for the fused deposition modeling (FDM) process as one of the major AM processes using a developed real-time deep convolutional neural network (CNN) model. The CNN model is trained offline using the images of the internal and surface defects in the layer-by-layer deposition of materials and tested online by studying the performance of detecting and grading the failure in AM process at different extruder speeds and temperatures. The model demonstrates an accuracy of 94% and specificity of 96%, as well as above 75% in measures of the F-score, the sensitivity, and the precision for classifying the quality of the AM process in five grades in real-time. The high-performance of the model could not be achieved with the values usually used for printing temperature and printing speed, only in addition with much higher values. The proposed online model adds an automated, consistent, and non-contact quality control signal to the AM process. The quality monitoring signal can also be used by the AM machine to stop the AM process and eliminate the sophisticated inspection of the printed parts for internal defects. The proposed quality control model ensures reliable parts with fewer quality hiccups while improving performance in time and material consumption.
Producción de polen: Protocolo de Buenas Prácticas Apícolas
Authors: Vásquez Romero Rodrigo Efrén , Cepeda Granados Mónica , Bejarano Garavito Diego Hernán , Gutiérrez Zocadagu Angélica Yuliet , Burgos Paz William Orlando , Rodríguez García Omar Andrés
Published: February 2022

La producción de polen representa una oportunidad económica para los productores rurales. Dado que es un alimento que puede contaminarse fácilmente si no se llevan a cabo procesos adecuados a través de la cadena de producción, esta cartilla le brinda un protocolo para implementar las Buenas Prácticas Apícolas (BPAp), de manera que garantice la inocuidad del polen y mejore su estrategia de comercialización. Esta cartilla les ofrece a los productores y técnicos apícolas del país las Buenas Prácticas Apícolas (BPAp) para que no limiten sus opciones de comercialización del producto y estén en capacidad de asegurar la salud del consumidor de este alimento.
Blended Treatment for Alcohol Use Disorder (Blend-A): Explorative Mixed Methods Pilot and Feasibility Study
Authors: Tarp Kristine , Rasmussen Johan , Mejldal Anna , Folker Marie Paldam , Nielsen Anette Søgaard
Published: February 2022

Background

In Denmark, approximately 150,000 people have alcohol use disorder (AUD). However, only approximately 10% seek AUD treatment, preferably outside conventional health care settings and opening hours. The AUD treatment area experiences low adherence to treatment, as well as high numbers of no-show and premature dropouts.

Objective

The purpose of the Blend-A (Blended Treatment for Alcohol Use Disorder) feasibility and pilot study was to describe the process of translating and adapting the Dutch treatment protocol into Danish and Danish culture with a high amount of user involvement and to report how patients and therapists perceived the adapted version, when trying it out.

Methods

The settings were 3 Danish public municipal outpatient alcohol clinics. Study participants were patients and therapists from the 3 settings. Data consisted of survey data from the System Usability Scale, individual patient interviews, and therapist group interviews. Statistical analyses were conducted using the Stata software and Excel. Qualitative analysis was conducted using a theoretical thematic analysis.

Results

The usability of the treatment platform was rated above average. The patients chose to use the blended treatment format because it ensured anonymity and had a flexible design. Platform use formed the basis of face-to-face sessions. The use of the self-determined platform resulted in a more thorough process. Patient involvement qualified development of a feasible system. Managerial support for time use was essential. Guidance from an experienced peer was useful.

Conclusions

This study indicates that, during the processes of translating, adapting, and implementing blended, guided, internet-based, and face-to-face AUD treatment, it is relevant to focus on patient involvement, managerial support, and guidance from experienced peers. Owing to the discrete and flexible design of the blended offer, it appears that it may reach patient groups who would not otherwise have sought treatment. Therefore, blended treatment may increase access to treatment and contribute to reaching people affected by excessive alcohol use, who would not otherwise have sought treatment. In addition, it seems that the blended offer may enhance the participants’ perceived satisfaction and the effect of the treatment course. Thus, it appears that Blend-A may be able to contribute to existing treatment offers. Such findings highlight the need to determine the actual effect of the Blend-A offer; therefore, an effectiveness study with a controlled design is warranted.
Methods and Applications of Social Media Monitoring of Mental Health During Disasters: Scoping Review
Authors: Teague Samantha J , Shatte Adrian B R , Weller Emmelyn , Fuller-Tyszkiewicz Matthew , Hutchinson Delyse M
Published: February 2022

Background

With the increasing frequency and magnitude of disasters internationally, there is growing research and clinical interest in the application of social media sites for disaster mental health surveillance. However, important questions remain regarding the extent to which unstructured social media data can be harnessed for clinically meaningful decision-making.

Objective

This comprehensive scoping review synthesizes interdisciplinary literature with a particular focus on research methods and applications.

Methods

A total of 6 health and computer science databases were searched for studies published before April 20, 2021, resulting in the identification of 47 studies. Included studies were published in peer-reviewed outlets and examined mental health during disasters or crises by using social media data.

Results

Applications across 31 mental health issues were identified, which were grouped into the following three broader themes: estimating mental health burden, planning or evaluating interventions and policies, and knowledge discovery. Mental health assessments were completed by primarily using lexical dictionaries and human annotations. The analyses included a range of supervised and unsupervised machine learning, statistical modeling, and qualitative techniques. The overall reporting quality was poor, with key details such as the total number of users and data features often not being reported. Further, biases in sample selection and related limitations in generalizability were often overlooked.

Conclusions

The application of social media monitoring has considerable potential for measuring mental health impacts on populations during disasters. Studies have primarily conceptualized mental health in broad terms, such as distress or negative affect, but greater focus is required on validating mental health assessments. There was little evidence for the clinical integration of social media–based disaster mental health monitoring, such as combining surveillance with social media–based interventions or developing and testing real-world disaster management tools. To address issues with study quality, a structured set of reporting guidelines is recommended to improve the methodological quality, replicability, and clinical relevance of future research on the social media monitoring of mental health during disasters.
Energy Values of Corn and Rice Bran and Energy Levels for Ducks – Basis in Establishing Energy Requirement for Improved Philippine Mallard Duck
Authors:   Central Luzon State University, Science City of Muñoz, Nueva Ecija, Vidad Sean ,   Mariano Marcos State University, City of Batac, Ilocos Norte, Hufana-Duran Danilda ,   Central Luzon State University, Science City of Muñoz, Nueva Ecija,   Philippine Carabao Center, Science City of Muñoz, Nueva Ecija
Published: February 2022

New breeds of Philippine Mallard Ducks (PMD) were developed to ensure the availability of outstanding stocks for egg production. Maximizing the potentials of these new breeds can be achieved with sound nutrition. Energy is considered the most important and occupy big fraction in the diet of duck as it influences feed intake and proportion of other nutrients in the diet. Optimaldietary energy levels for the new breeds of PMD is yet to be established.. Determining the energy values of common and locally abundant basal feeds such as corn and rice bran for PMDwill serve as a basis in the inclusion of these feeds to duck’s diet. Ducks are considered more efficient in maximizing the energy values of corn (CO) and rice bran (RB) despite of the large proportion of non-starch polysaccharides of RB compared to chickens. Dietary energy levels have not been established for PMD unlike in Pekin ducks (PD) and some indigenous or country ducks. Fast growing PD tend to require a denser energy ranging from 3008 to 3284 kcal/kg compared to 2700 to 2950 kcal/kg for indigenous breeds and khaki Campbell (KC) for optimal performance. It has been found out that the PMD is closely more related to KC than PD. Hence, the possibility of requiring a lower dietary energy than PD. The determination of energy values of CO and RB for PMD and establishment of optimal dietary energy level will facilitate the formulation of PMD specific diet. Thus, this condensed information will serve as concrete viewpoints in understanding bioenergetic dynamics of PMD.
The Differences of Family Education between China and the United States in The Joy Luck Club
Authors: Cui Jiahui
Published: February 2022

Along with the development of globalization, cultural differences among different countries have been brought into our focus. Family education, plays an irreplaceable role in our educational process, and is also a special and essential aspect in various cultures. This paper will analyze the differences of family education between the Chinese culture and American culture through Amy Tan’s work The Joy Luck Club. The differences mainly include the aspects of aim of education, content of education, requirements of education, views of family relationship and different ways used in education. Through comparing the different results brought by different styles of family education, it helps readers to learn cultural differences between China and the United States in the aspect of family education, and make them respect different cultures and realize the importance of family education.
Strength Characteristics of Rice Husk and Corn Cob Ash Blended Cement Concrete
Authors: Olaniyi Alake
Published: February 2022

The study investigates the mechanical properties of concrete incorporating Rice husk Ash (RHA) and Concorb Ash (CCA) as cementitious binders. Concrete cubes was prepared from a standardized prescribed mix of 1:2:4. The cement component in the reference mix was replaced with combined % weight of rice husk ash and corncob ash. The physical and chemical composition of RHA and CCA were examined as well as the workability and compressive strength properties of varying percentage of RHA and CCA blended cement concrete. Water–cement ratios of 0.6, was adopted for the reference and blended mixes. A total of 75 concrete cubes of different percentages by weight of combination of RHA and CCA to Portland cement in the order of 0%, 10%, 20%, 30%, and 40% were cast. The strength measurements of concrete were performed at the ages of 7, 14, 21, 28 and 56 days. The results revealed that compressive strength increased with increase in curing age but decreased as the RHA and CCA contents increased. The compressive strength of concrete cubes with the combination of RHA and CCA was lower at early stages but improves significantly up to 56 days. The highest compressive strength was 22.94N/mm2 and 26.27N/mm2 at 56 days for 0% and 10% combination of RHA and CCA respectivelyBased on the test results the study concluded that 10% RHA and CCA content is adequate as supplementary cementitious material for blended concrete.
Implementation of Chemistry Curriculum in Nigeria: Challenges for the 21st Century
Authors: Olubunmi Omoniyi A. , Aarinola Akinsete M.
Published: February 2022

The study examined the level of implementation of chemistry curriculum by teachers and the available material resources necessary for the implementation of the curriculum in Nigeria. The study adopted a survey design. A sample of 250 chemistry teachers in Nigeria were used for the study. The instrument tagged “Chemistry Curriculum Implementation and Material Resources Questionnaire (CCIMRQ) was used for study. CCIMRQ was prepared by the researcher and validated by experts in curriculum studies with a reliability co-efficient of 0.78. Data collected were analyzed using frequency counts, percentages and t-test. Results showed that more than 30% of Chemistry teachers in secondary schools in Nigeria did not implement effectively the four themes in the curriculum as they tend to skip some difficult concepts in the curriculum. Also, results of t-test analysis (t = 3.01, p=0.03) revealed that there was a significant difference between the teachers’ view on the problem militating against the implementation of chemistry curriculum and the adequacy of material resources. The study concluded that some chemistry teachers in Nigeria did not implement the chemistry curriculum effectively due to inadequate material resources and lack of mastery of the subject matter. To meet the challenges for the 21st century, chemistry teachers in Nigeria should be exposed to capacity building on the subject matter and be retrained on how to handle difficult concepts in the chemistry curriculum.
Image Dehazing from Repeated Averaging Filters with Artificial Neural Network
Authors: Kumar Vinaya , Nirmal Madhu Lata
Published: February 2022

Abstract: The physical process of converting an image signal into a physical image is known as image processing. Either a digital or analogue image signal can be used. An actual physical image or the attributes of an image can be the actual output. The logical process of detecting, identifying, classifying, measuring, and evaluating the relevance of physical and cultural items, their patterns, and spatial relationships is referred to as image processing. This paper presents a method for measuring ambient light from a single foggy image using Repeated Averaging Filters, which adds to greater radiance recovery. The problem of halo artefacts in the final output image after dehazing plagues existing dehazing algorithms. An averaged channel is created from a single image using recurrent averaging filters using integral images with artificial neural network, which is a faster and more efficient method of reducing halo artefacts. In terms of quantitative and computational analysis, the suggested dehazing method achieves competitive results and outperforms many earlier state-of-the-art solutions. Index Terms: Image Dehazing; Averaging Filter; Integral Image; Gaussian smoothing, Feed Forward Neural Network
Shielded Identity Based Data and Contour Sharing for Mobile Healthcare Through Cloud Computing
Authors: Kumar Narotam , J Prof Dr Bhuvana
Published: February 2022

Abstract: Cloud computing and social networks are changing the way healthcare provides by providing real-time data sharing in a cost-effective way. However, the issue of data security is one of the key barriers to the widespread use of social networking services (MHSN), as health information is considered extremely sensitive. In this paper, we introduce a secure data sharing and MHSN profile matching scheme on a cloud computer. Patients can extract their encrypted health records from cloud storage via identity-based broadcast encryption (IBBE), and share them with a team of physicians in a safe and effective manner. Then we introduce a conditional data-based encryption component, which allows physicians who satisfy the pre-defined conditions in ciphertext to authorize cloud platform to convert ciphertext into a new ciphertext-based encryption system. without disclosing any sensitive information. The paper will also provide insight into data security policies that may authorize certain administrators to have read-only capabilities for all device parameters and read / write specific set of commands. Each administrator may have a different access profile introduction.
Self-Driving Car Using Machine Learning and Neural Network
Authors: Hublikar Haroon Ijaj , Keny Atharva Ajit , Ghonge Rahul Dilip , Ahmed Khan Sawood Iftekhar
Published: February 2022

Abstract: Self-driving cars are autonomous vehicles that can run on their own without human intervention and could represent a technological revolution in the next decade. This work presents the development of a low-cost prototype of a miniature selfdriving car model using simple and out-of-the-box technology. The idea is to use only camera modules to create self-driving cars that move between destinations with minimal human intervention. The purpose of this project is to accelerate the process of driving a car through automation. The results of this project will definitely reduce the number of car accidents that occur today. This project uses NVIDIA Jetson Nano as the main controller and has a processing power of about 500 gigaflops. The controller is mounted on the car platform itself and performs all the calculations needed to drive the car on board. The car uses a trained convolutional neural network (CNN) that predicts all the parameters that the car needs to drive smoothly. These are directly connected to the main steering mechanism and the output of the deep learning model determines the steering angle of the vehicle. Keywords: CNN, NVIDIA Jetson Nano, Self-driving, automation, deep learning
Ramanujan: The New Sum of All Natural Numbers
Authors: Patel Gaurav Singh , Gautam Saurabh Kumar
Published: February 2022

Abstract: As we know that Sir Ramanujan gave the solution of sum of all natural numbers up to infinity and said that the sum of all natural numbers till infinity is -1/12. I studied on this topic and found that if we try to solve the infinite series in a slightly different way, then we get the answer of its sum different from -1/12, so this is what I have written in this paper that such Ramanujan Sir, what was the mistake in solving the infinite series, which by solving it in a slightly different way from the same concept, we get different answers. Keywords: Ramanujan the new sum of all natural numbers, Infinite series solution, Gaurav singh patel, Infinite series sum, Natural number sum.
Performance Investigation of Fiber Distributed Data Interface in Networking
Authors: Wani Shabeer Ahmad
Published: February 2022

Abstract: The extent of the ring, the number of stations on the ring, the number of stations waiting to communicate, and the frame size are all setup and workload characteristics that affect the performance of an FDDI LAN. In addition, the target token rotation time is a significant parameter that network management may regulate to optimise performance (TTRT). The influence of the TTRT on various performance indicators for different ring topologies was investigated using analytical modelling and simulation approaches. The performance of the FDDI network is the topic of this research. The functionality of the FDDI network was then assessed in terms of efficiency, reaction time, and network cost using various values of ring latency, fixed target token rotation time (TTRT), and number of stations. The entire project is done in MATLAB. Keywords: FDDI LAN, TTRT, Interface, Networking, MATLAB
Psychological Distress and Help-Seeking Facilitators in Quebec Men: Findings From a Province-Wide Survey
Authors: Montiel Corentin , Duhoux Arnaud , Tremblay Gilles , Villeneuve Raymond , Roy Jacques , Lavoie Brigitte , Houle Janie
Published: February 2022

Introduction

It has been well established that men are not inclined to seek psychosocial help. Although barriers preventing psychosocial help-seeking behaviors in men have been extensively documented, few studies have investigated perceived facilitators and preferences involved in these behaviors.

Methods

Based on an online survey of 2095 Quebec men, this descriptive study explores men’s psychological distress and help-seeking behaviors, perceptions of effective facilitators of help-seeking behaviors, and psychosocial intervention preferences.

Results

About 30% of the men surveyed presented some form of psychological distress, and very few had used psychosocial services in the last year. Most men did not have a preference regarding the gender of their therapist, although they reported favoring solution-focused interventions and appreciating a continuity in the therapeutic relationship. Men also highly rated the importance of free or low-cost services to facilitate help-seeking behaviors. Finally, they indicated a high probability of consulting, if their doctor would tell them to, or if they noticed that their situation affected on their children, or if they experienced suicidal ideation.

Discussion

Understanding what encourages men to seek help for mental health difficulties and their preferences in services and intervention may lead to greater service use and improved mental health.
Quebec’s Model for Men’s Health: Connecting Community, Research, Practice, and Policies
Authors: Roy Philippe , Tremblay Gilles , David Augustin
Published: February 2022

In the past 20 years, in the province of Quebec, Canada, there has been an active social response to men’s health issues, from local initiatives to research and national public health policies, such as the Men’s Health Action Plan 2017–2022, created by the Ministry of Health and Social Services. Although Quebec has developed and implemented many initiatives in this field of study, they remain largely unknown outside of the French-speaking regions. This paper seeks to make Quebec’s model available for an international audience and to inform a wider debate about gender and health issues. The main focus was to review the key community and institutional milestones that brought about this model. Challenges and limitations to the model are discussed within a wider debate on gender and health studies. Closing remarks support the relevance of greater inclusion of men’s health content in university courses.
Fraud risk judgment measurement scale development
Authors: Julian Lufti , Johari Razana Juhaida , Said Jamaliah , Wondabio Ludovicus Sensi
Published: February 2022

Recently, many financial scandals and frauds have been published in mass media. It has resulted in ruining the public trust in the internal auditor profession as the third line of defense since the public perceived frauds detection and prevention as the internal auditors’ responsibility (DeZoort & Harrison, 2018). The internal auditors’ fraud risk judgment performance has been questioned. There are many scales to measure fraud risk judgment; however, they are mostly related to financial-statement-related frauds with external auditors as the targeted respondents and still lack those to measure fraud risk judgment of internal auditors. This paper aims to propose the scale for measuring the performance of internal auditors’ fraud risk judgment. Since there are many internal auditors without accounting background, the fraud case should be developed to be more general, instead of financial-statement-related frauds. The study followed the best practice step by step in developing a scale proposed by Boateng, Neilands, Frongillo, Melgar-Quiñonez, and Young (2018). It involved 5 experts in developing and validating the items, 106 respondents in the exploratory factor analysis (EFA) and 202 respondents in the confirmatory factor analysis (CFA). All the required indicators in the steps were acceptable; therefore, we can conclude that the scale is valid and reliable. The scale was developed based on the fraud triangle theory; hopefully, it can contribute to providing alternative fraud risk judgment measurement for internal auditors.
Very High Power Very Short Duration Ablation for Atrial Fibrillation: with great power comes great responsibility
Authors: Gupta Dhiraj , Calvert Peter
Published: February 2022

vHPvSD ablation represents a quantum leap from the RF settings that have
traditionally been used in electrophysiology. If used to its full
potential, it may improve procedural efficiency by reducing ablation and
procedure times. However, with great power comes great responsibility;
we need to ensure that we use it judiciously and safely.
Optimal policy for supply chain management system with retailer's hybrid payment strategy and supplier's price discount facility
Authors: Ghosh Prasanta , MANNA AMALESH , Dey Jayanta , Kar Samarjit
Published: February 2022

Suppliers often offer item-wise price discounts and trade credit to
their retailers after receiving an initial payment for the supplied
product. This discount is proportional to the total payment done already
against the total cost accrued by the retailer. The supplier may also
decide to allow the retailer to prepay a random part of the purchasing
cost at any random time within the duration that an advance payment is
allowed. In order to encourage the customers to increase their orders,
the retailer, in turn, offers a trade-credit for a partial amount of the
sale price to the customers. In this paper, we focus on the optimal
replenishment policies of a retailer that could maximize the retailer’s
average profit when he/she is confronted with the supplier’s trade
offers of credit and price-discount under a two-layer supply chain
management in a stochastic environment. We have obtained some
theoretical results from the optimum cycle time and optimum order
quantity of the proposed model and numerically analysed with a suitable
example to demonstrate the real-life applicability of the model.
Finally, sensitivity analyses are made on the significant parameters in
order to gain some managerial insights.
Efficacy of pentasodium diethylenetriamine pentaacetate in ameliorating anosmia post COVD-19
Authors: hussien Mohamed , Hussien Ahmed , ismail Wael , alsoubky Mahmoud , ramzy sherief , Shahin Mohamed
Published: February 2022

Abstract Objectives: An association between COVID-19 and anosmia has
been demonstrated worldwide. Calcium cations play an essential role in
odor transmission, including feedback inhibition. Therefore, it is
suggested that reducing intranasal free calcium cations with topical
chelating agent pentasodium diethylenetriamine pentaacetate may improve
olfactory function in patients with anosmia post COVID-19 infection.
Design: Prospective controlled clinical trial to test use of pentasodium
diethylenetriamine pentaacetate for post COVID-19 olfactory loss.
Setting: ENT Department (Institution blinded for review). Participants:
Sixty-six adult patients with history of confirmed COVID-19 and
olfactory dysfunction persisted more than 90 days after SARS-CoV-2
negative testing were included. Main outcome measures: Participants were
divided into 2 equal groups receiving nasal spray containing either
0.9% sodium chloride or 2% pentasodium diethylenetriamine
pentaacetate. Olfactory function was assessed before treatment and 1
month later using the Sniffin’ Sticks test. A carbon paste ion-selective
electrode was developed for quantitative analysis of calcium cation
concentrations in nasal mucus before treatment and 1 month later.
Results: After treatment with pentasodium diethylenetriamine
pentaacetate, there was a significant improvement from functional
anosmia to hyposmia compared with sodium chloride. In addition, the
decrease of calcium concentration was recorded after treatment with
pentasodium diethylenetriamine pentaacetate compared with sodium
chloride. Conclusion: Based on the results of the proposed study,
topical use of pentasodium diethylenetriamine pentaacetate may be a
useful therapy for olfactory dysfunction after COVID-19.
The Expanding Horizon of Light Sheet Technology
Authors: Mondal Partha Pratim
Published: February 2022

Seldom, do we come across a technology that advances multiple research disciplines across science and engineering. One such technology is light sheet that promises to take scientific investigation to the next level. The existing technology, predominantly based on point-focusing has reached a saturation limit, in terms of speed, limited field-of-view and lack of biophysical parameter estimation. Moreover, current technology is complex and needs human intervention. Light sheet techniques based on sheet-illumination expand our abilities for high throughput interrogation of a large pool of live biological specimens with near diffraction-limited resolution and an order increase in field-of-view. The outlook of research community has changed dramatically over the last decade that has seen an increased use of light sheet technology. Light sheet technique has penetrated both biological and physical sciences with its impact on microscopy, cytometry, nanolithography, beam-shaping, plasma physics and optical manipulation. Eventually, the technique will influence other disciplines and may give rise to new research fields.
Rural development contexts - input in rural attractiveness definition
Authors:   Institute of Agricultural Resources and Economics, Puzulis Armands
Published: February 2022

Rural development is associated with a variety of contexts. The attractiveness of the countryside forms a summary view of the factors that allow us to talk about the needs of the rural people to make the countryside attractive and economically viable for both locals and tourists. Within the framework of the PoliRural project, the attractiveness of rural areas is considered as a basis for the development of regional development policy. In the initial stage, the definition of rural attractiveness was based on the literature analysis and survey results. The aim of the study is to make improvements to the definition of rural attractiveness based on the contexts of rural development, regional development and rural typology. The study is based on an analysis of the literature, the needs of the pilot regions and the evaluation of selected policies. As a result, recommendations are made to policy makers. A mixed research method approach combining qualitative and quantitative techniques was used to update the initial definition of rural attractiveness. The study conceptualizes the attractiveness of rural areas as a context-based, politically determined and everyday social construct. There is no single definition of rural attractiveness in this sense due to the diversity of cultural, social, territorial, different scales and economic conditions. However, there is reason to talk about a set of factors and contexts that need to be taken into account when designing rural development policy.
Theoretical aspects of social entrepreneurship in the context of the environment
Authors:   Latvia University of Life Sciences and Technologies, Groma Linda , Licite-Kurbe Lasma ,   Latvia University of Life Sciences and Technologies
Published: February 2022

As the fight against climate change grows, the world is increasingly focusing on developing social entrepreneurship to address environmental challenges. By creating not only legislation and support programmes, Latvia is also involved in the development of social entrepreneurship, following the priorities of social entrepreneurship set out in the Europe 2030 and Latvia 2030 strategies. The research aim is to examine the theoretical role of preserving and protecting the environment by means of social entrepreneurship. To achieve the aim, specific research tasks were set: 1) to review the relevant scientific literature and make a comparison of different definitions of social entrepreneurship; 2) to define the factors affecting environmental help and to examine how social entrepreneurship takes part in improving these factors; 3) to identify which European Union Member States most actively use social entrepreneurship in solving environmental problems. The research showed, given that social entrepreneurship is a relatively new concept, its long-term concept is unclear, and the ambiguous definition hinders the development of common sets of measures. Given that the criteria for setting up a European social enterprise vary, most EU Member States focus on engaging target groups in social entrepreneurship, while only 8 EU Member States view environmental protection as an essential component of social entrepreneurship.