bluuebunny/crossref_metadata_2025 huggingface dataset:
Real Time Body Orientation Recognition for Customer Pose Orientation
Authors: P. S. Nethravathi , Aithal P. S.
Published: May 2022

Background/Purpose: One of the most significant areas in marketing is consumer position analysis. Retailers can assess the extent of client interest in the goods based on customer pose data. Due to occlusion and left-right similarity difficulties, pose estimation is problematic. We describe a CNN-based solution that includes the body orientation and visibility mask to overcome these two challenges. It provides global information about posture configuration using simple gaits in a retail setting. When a person looks to the right, for example, the left side of his or her body is hidden by the body orientation. In the same way, the person faces the camera, the right shoulder will most likely be on the image's left side. A novel Deep Neural Network design is used to merge body orientation and local joint connections. Second, the visibility mask simulates each joint's occlusion state. Because body orientation is the major source of self-occlusion, it is inextricably tied to it. Detecting an occluding object (such as a shopping cart in a retail setting) might provide give visibility mask prediction clues. Global body position, local joint connections, client mobility, and occluding obstructions are all taken into account in the final advised method. Finally, we run a number of comparison tests to see how effective our technique is.
Objective: This work presents customer posture estimation, and a visibility mask to build a prototype for inner and self-occlusion. It also concentrates on local joint connections, global body orientation, and customer mobility.
Methodology: The suggested technique is depicted in its entirety in Figure-2. To figure out which portion of the human picture is concealed, we employ stance markers to identify the viewable areas. The landmarks in the occlusion zone have a lower confidence score when we extract posture landmarks. As a result, it is possible to obtain visible masks incorporating occlusion information. We employ visible signs to assist the hidden individual in three ways. To begin, visible masks are utilized to detect viewable parts and to construct spatial masks that filter noise caused by occlusions.
Findings/Results: The proposed method outperforms to overcome left-right similarity difficulties, the network incorporates body orientation information, and the visibility mark layers are introduced into the network to enhance the efficiency of occluded joints.
Conclusion: For customer pose estimation, A novel architecture using the concepts of Deep Learning is proposed and the occluding object detection clearly provides inter-occlusion by object cues. As a result, local joint connection, the global body orientation, and occluding object and human motion.
Paper Type: Research article.
Periodicity of Deliveries – Findings from Six Selected North Indian Hospitals
Authors: Thomas Philomina , Mittal Suneeta
Published: May 2022

We present here a report, based on data obtained from six selected North Indian hospitals, on variations in the number of human deliveries over the period from 1 October 2010 to 30 September 2011. We tried to identify whether there are any cycles exhibited by the data. We discover cyclicity over different months of the year and days of the week whereas cyclicity over different phases of the lunar cycle is not clearly established.
Effect of Foot Reflexology as an Add-on Intervention on Pain Among Women Having Undergone Mastectomy
Authors: Lukose Nivya , Pavithran Sheela , K Anu
Published: May 2022

A single group quasi-experimental study was conducted among 40 women on the first day after they underwent mastectomy. Subjects were selected by convenience sampling technique. A single session foot reflexology was administered among post-mastectomy women. Pain was assessed at baseline, post-test I (immediately after foot reflexology) and post-test II (30 minutes after foot reflexology). The findings revealed that there was a statistically significant difference between the pain scores at baseline and both the post-tests (t(39) = 2.9, p < 0.05). A statistically significant reduction in physiologic parameters was also observed from the baseline (systolic BP at post-test I (t(39) = 2.470, p < 0.05).
Knowledge of Staff Nurses Regarding Immediate Post-Operative Management of Patients Who Have Undergone Commando Surgery
Authors: Bansal Neeraj Kumar
Published: May 2022

A descriptive survey was conducted on 60 staff nurses working in Cancer Hospital & Research Institute, Gwalior to identify their knowledge regarding immediate post-operative management of the patients who have undergone Commando surgery. Majority of staff nurses (about 83% of them BSc Nsg), were in the age group of 21-30 years. Staff nurses had good knowledge regarding immediate post-operative Commando care. Comparison of mean, SD and mean percentage of the knowledge showed the highest mean score was 18.64 ± 4.72 which was 54.82 percent of total score obtained by the staff nurses belonging to 1 to 5 year clinical experience, similar to the mean score 18.64 ± 4.72 obtained by the staff nurses had experience less than one year. Lowest mean score of 39.70 percent (13.5 ± 3.53) was obtained by the staff nurses with over 10 years’ experience; however for 6-10 years clinical experience, the mean score obtained was 24. Hence it can be interpreted that the staff nurses having less experience have more knowledge. It may be due to gap of education or lack of in-service education programme. No significant association was found between knowledge score and age, sex, education qualification, total clinical experience, oncological ward experience, CNE attended (p>0.05).
Awareness and Opinion of General Public and Health Care Professionals regarding the Prospects and Challenges of Independent Nursing Practice
Authors: Mathew Deltimol , Jeet Goya Harindar
Published: May 2022

Nurses are the most widely distributed professional group performing most diverse roles when compared to any other health professional. This study was done to assess the awareness and opinion of general public and health care professionals regarding the challenges and prospects of Independent Nursing Practice (INP). The study included General Public (50), Nurses (30) and Doctors (20). Non-probability convenient sampling was used for the study. Analysis showed that the average awareness regarding the INP of general public, nurses and doctors were 40 percent, 56 percent and 13 percent respectively. The major challenges identified in this study are lack of role clarity and understanding of NP’s role by doctors and general public, lack of proper regulatory environment and legislative support, uncertainty about client acceptance and lack of support from administrators and policy makers, which are congruent with the previous studies. But almost all the samples had the view that it is possible to start INP in India after modification of the curriculum.
Psychosocial Care and Support Services for Children Infected with AIDS
Authors: Mamatha IV , Sarada D , Reddy N Konda
Published: May 2022

Children living with AIDS experience a great deal of social stigma and discrimination. This results in children being marginalised from essential services such as education and health. The present study assessed the socio-demographic variables and the identified the psychosocial needs of HIV infected children and the services for children infected with AIDS in public and private sectors. A total of 180 children infected with AIDS, and 180 service providers were included as sample. Random and purposive sampling techniques were used. A structured interview schedule consisting of needs and services of HIV infected children was given to caretakers and service providers. The study areas were Visakhapatnam, Chittoor and Khammam districts. The data collected was subjected to relevant statistical analysis. The psychological care and support needs of CIAs identified by caretakers in three study areas were compared, it was found that there was difference between the sample in Khammam and Chittoor as odds ratio was 3.038 (>1) and p-value 0.01 (p<0.05).
Leadership Competencies of Frontline Nurse Leaders and its Effect on the Job Satisfaction and Performance of Staff Nurses
Authors: Johnson Jancy , Shaiju Bindu
Published: May 2022

A descriptive corelational study was conducted in a selected hospital of Delhi to determine the relationship of the leadership competencies of the frontline nurse leaders with the job satisfaction and performance of staff nurses. The sample consisted of 19 nurse leaders and131 staff nurses with over one year of experience, selected through total enumeration technique. Data collection was done for a period of two weeks. The study showed that there was a significant positive correlation between the leadership competency of frontline nurse leaders and the job satisfaction of the staff nurses working under them. The study suggested that effective leadership training be instituted for prospective nurse managers before appointments are made into management and administrative positions. It also emphasises that the nurse managers at all levels must find innovative ways to retain staff by enhancing work environment and ensuring high job satisfaction
Effectiveness of Planned Teaching Programme on Knowledge of Post-natal Mothers towards Kangaroo Mother Care
Authors: Kumari Nayak Manjula
Published: May 2022

A pre-experimental one group pre-test post-test design was undertaken to assess the effectiveness of planned teaching programme on knowledge of post-natal mothers regarding Kangaroo Mother Care (KMC). The conceptual framework adopted for this study was based on the Von Ludwig Bertalanfy General System theory. Convenient sampling technique was used to select 50 post-natal mothers who were meeting the sampling criteria. Structured knowledge questionnaire was used during data collection. Pre-test was conducted on day 1 followed by teaching programme among the same post-natal mothers admitted in maternity ward of a hospital in Bhubaneswar (Odisha). Post-test was conducted on day 8. Descriptive and inferential statistics were used to analyse data. The findings of the study revealed that mean post-test knowledge scores were significantly higher than the mean pre-test knowledge scores. The study revealed that the planned teaching programme was effective in enhancing the knowledge of post-natal mothers regarding KMC.
Correlation Between Body Mass Index (BMI) and Fasting Glucose in Post-menopausal Women
Authors: Priya Padma , Lathif Fathima , Raghavan Vijaya
Published: May 2022

Menopausal stage is marked by weight gain and abnormalglucosemetabolism leading to metabolic syndrome susceptibility. The incidence of obesity in post-menopausal women tends to increase due to lack of activity; higher dietary intake and the effect of decreased oestrogen lead to alteration in insulin sensitivity. The present study was done on the correlation between Body Mass Index (BMI) and fasting glucose in post-menopausal women. Forty-six healthy post-menopausal women were selected by purposive non-probability sampling technique. Study was conducted in a selected village, Bangalore. Body weight, height and 12 hours fasting blood glucose were measured. Data gathered were analysed and interpreted using both descriptive and inferential statistics. The study results showed a significant positive correlation between BMI and fasting glucose (r=0.300, p
Effect of Structured Teaching Programme on Knowledge regarding Prevention of Road Traffic Accidents among Adolescents in Schools of Baramulla (Kashmir)
Authors: Rashid Dilshada , Akhter Aisha
Published: May 2022

The study aimed to assess the effectiveness of structured teaching programme on knowledge regarding prevention of Road Traffic Accidents (RTAs) among adolescents (13-18years) in selected schools of Baramulla, Kashmir. Pre-experimental one group pre-test and posttest research design was used. The sample had 62 adolescents studying in some schools of district Baramulla selected by stratified simple random sampling technique. The data collected by administering structured knowledge questionnaire was analysed and interpreted by using both descriptive and inferential statistics. Using SPSS: V-20, all the inferences were checked at 0.05 level of significance. The mean pre-test knowledge score was 19.40 which improved to 35.25 in post-test (p0.05). The structured teaching programme improved the knowledge of adolescent students regarding prevention of RTAs.
The Effects of Javanese Turmeric (Curcuma xanthorriza Roxb) on Fibroblasts, Granulation, Blood Vessel Density, and Contraction in Wound Healing of STZ-Induced Diabetic Rats
Authors:   School of Nursing, Faculty of Health Science, Universitas Brawijaya, Malang, Indonesia, Kristianto Heri , Khotimah Husnul ,   Laboratory of Pharmacology, Faculty of Medicine, Brawijaya University, Malang, Indonesia, Sholeha Ryharti A. ,   Petrokimia Gresik Hospital, Gresik, Indonesia, Mardianto Eky W. ,   Petrokimia Gresik Hospital, Gresik, Indonesia, Sani Hasnah C. ,   Lavalete Hospital, Malang, Indonesia, Paratiwi Hardika A. ,   Persada Hospital, Malang, Indonesia
Published: May 2022

Diabetic ulcers usually occur in the lower extremities of diabetic patients. One in 20 diabetic patients will develop an ulcer, and 10% of those cases lead to amputation. This study aimed to investigate the effects of Javanese turmeric (Curcuma xanthorriza Roxb.) extract on the number of fibroblasts, granulation, blood vessel, and the rate of wound contraction in a Wistar rat model of the diabetic ulcer. This was an experimental study with post-test observations only and randomized control group design. Rats were divided into five groups: (1) negative control (KN); (2) positive control (KP); (3) P1; (4) P2; and (5) P3. Every rat was assessed for fibroblast number, granulation, blood vessel density, and wound contraction percentage. Javanese turmeric extract had a significant effect on histological parameters (fibroblast, blood vessels and tissue granulation) (p < 0.05) and wound contraction (p < 0.05). The double linear test revealed a significant relationship between fibroblasts, granulation, blood vessel quantity, and wound contraction (p < 0.05). Correlation and regression tests showed that Javanese turmeric extract explained 91% of the effects on fibroblasts, blood vessels, and granulation. Treatment with Javanese turmeric extract increased the number of fibroblasts, tissue granulation, blood vessel density and wound contraction in male diabetic Wistar rats.
Cost Benefit Analysis of Vaccination for Sheep in Kuwait Farms
Authors:   Desert Agriculture and Ecosystems Program Environment and Life Sciences Research Centre, Kuwait Institute for Scientific Research,, Burezq Hana’a , Khalil Faten ,   Desert Agriculture and Ecosystems Program Environment and Life Sciences Research Centre, Kuwait Institute for Scientific Research,
Published: May 2022

Sheep mortality is a common agenda noticed in sheep farms globally. The mortality rate of newborn lambs in Kuwait ranges between 35 to 50 per cent (~43 per cent), leading to low profitability or loss to the farmer. Vaccination gives a better remedy to withstand the infections and stresses. Vaccines are available at various rates and hence the feasibility of the farmers to afford for vaccines and the subsequent profit to be earned need to be clarified for vaccinating their sheep confidently. With this objective, an investigation was conducted to cost analyze vaccinated sheep production that includes their feed, drinking water and housing values. A cost benefit analysis is an imperative activity that includes break down of total cost of each component and synthesizing to reach a value to compare with the profit gain from such activity. The total cost was calculated by vaccinating 5 groups of 30 ewes each along with the cost of feed, water and electricity for a period of 1 year to raise ewes. According to the results, a very slight difference in vaccine cost which is very nominal is recorded suggesting to vaccinate the ewes for the combined vaccine (Pasteurella + Clostridia + Pest de Petites Ruminants (PPR)) to protect for multiple diseases causing high mortality rate.
Using isotopes for dating and residence time of groundwater in an aquifer, a case study at Al-Najaf, Middle Iraq
Authors:   General Commission of Groundwater, Najaf, Ministry of Water Resources, Najaf, Iraq, Al-Enezy Arshad W.A. , Al-Owaidi Mohanad R.A. ,   Department of Applied Geology, College of Science, University of Babylon, Babylon, Iraq, Hussein Mohammed L. ,   Department of Building and Construction Engineering Technologies, Al-Mustaqbal University College, Babylon, Iraq
Published: May 2022

Groundwater is the main source of sustaining life in the Najaf Desert that helps sustain human and animals’ lives. The aquifer of the Dammam Formation is considered as the main source of groundwater in the study area. The isotope elements have been used as a geochemical indicator to determine the age, direction of flow and the effect of rainwater of this area. The values of stable isotopes δ18O and δ2H range between -2.56‰ to -1.99‰, and between 7.12‰ to -4.84‰ with an average of -2.32‰ and -6.20‰ in rainfall respectively. Their values range from -3.26‰ to -2.01‰ for δ18O, and from -27.00‰ to -16.21‰ for δ2H with an average of -2.70‰ and -22.27‰ in the Dammam groundwater respectively. The groundwater is old and does not mix with new water, because tritium has not been not detected. Furthermore, the δ18O and δ2H values show that the rainwater, which feeds the aquifer does not come from the continental lands. They represent a humid and cold climate, as well as a considerable amount of rainfall in the past. Analyses of 14C indicate that the groundwater dates back to approximately 4176 years ago. The groundwater is moving from the west and southwest directions to the north and northeast directions.
Z-graphic topology on undirected graph
Authors:   Department of Mathematics, College of Science, Taibah University, Al-Madinah Al-Munawarah, Saudi Arabia., Zomam Hanan Omer , Dammak Makkia ,   Department of Mathematics, College of Science, Taibah University, Al-Madinah Al-Munawarah, Saudi Arabia.
Published: May 2022

In this work, we define ZG a topology on the vertex set of a graph G which preserves the connectivity of the graph, called Z-graphic topology. We prove that two isomorphic graphs have homeomorphic and symmetric Z-graphic topologies. We show that ZG is an Alexandroff topology and we give a necessary and sufficient condition for a topology to be Z-graphic.
Newtonian hydro-thermal fluid fl 1 ow phenomena through a sudden 2 expansion channel with or without baffles
Authors:   Department of Mathematics, National Institute of Technology Silchar, Silchar-788010, Assam, India, Saha Sandip , Biswas Pankaj ,   Department of Mathematics, National Institute of Technology Silchar, Silchar-788010, Assam, India, Jha Kanishka ,   Department of Mechanical Engineering, Lovely Professional University, Jalandhar-144001, Punjab, India, Das Apurba Narayan ,   Department of Mathematics, Alipurduar University, Alipurduar-736121, West Bengal, India, Chaudhury Rajesh ,   Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology Surat, Surat-395007, Gujrat,India
Published: May 2022

This work aims to study the different characteristics of Newtonian fluid flow and heat transfer througha 1:3 sudden expansion channel with or without plane baffles using the finite volume method. The flowis assumed viscous, incompressible, steady, and laminar. The different characteristics of hydro-thermalfluid flow phenomena have been studied for 𝑅𝑒 ∈ [0.1 − 200] to demonstrate the influence of thepresence of baffles. The profiles of velocity, pressure, skin friction coefficient, friction factor, averageNusselt number, and pumping power have been examined for both the cases of the presence and absenceof baffles. It has been observed that the hydro-thermal characteristics become more pronounced withthe increase in the number of baffles. In the case of three baffles of equal length, at 𝑅𝑒 = 200 it iscalculated that if the thickness of the baffles is same and equal to 10% of the length, then the value of Nu becomes approximately 1.2 times of that in the absence of baffle. For the same value of Re, ithas been found that for the presence of one baffle of length equal to the width of the inlet section of thechannel and of thickness 10% of the same, the value of 𝑁𝑢􀯔􀯩 becomes 1.11 times of that in the absenceof baffle, while in the case of three baffles of equal length and of equal thickness like the abovementioned case of one baffle, the value of 𝑁𝑢􀯔􀯩 becomes 1.25 times of that in absence of baffle. It hasalso been revealed that the enhancement of thermal phenomena increases with the increase inthe baffle’s height.
Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition
Authors:   Department of Computer Science and Engineering, Jindal Sonika , Sachdeva Monika ,   Department of Computer Science and Engineering, Kushwaha Alok K. S. ,   Department of Computer Science and Engineering
Published: May 2022

Human activity recognition (HAR) encompasses the detection of daily routine activities to advance usability in detecting crime and preventing dangerous activities. The recognition of activities from videos and image sequences with higher exactitude is a major challenge due to system complexities. The efficient feature optimization approach can reduce system complexities by removing ineffective features, which also improves the activity recognition performance. This research work presents a novel quantum behaved intelligent gravitational search algorithm to optimize the features for human activity recognition. The proposed intelligent variant is termed as INQGSA, which optimizes the features by using the advantageous attributes of quantum computing (QC) and intelligent gravitational search algorithm (INGSA). In INQGSA, the intelligent factor avoids the trapping of mass agents in later iterations by using the information of the best and worst agents to update the position of agents. The addition of quantum computing based attributes (such as quantum bits, their superposition, and quantum gates, etc.) ensures a better diversity of discrete optimized features. To analyze the superiority of INQGSA, the feature optimization is also conducted with the gravitational search algorithm (GSA) and the quantum-inspired binary gravitational search algorithm (QBGSA). Finally, the optimized selected features are utilized by the deep neural networks (DNN) of ResNet-50V2 and ResNet-101V2 for the classification of activities. The activity recognition experiments are conducted on the UCF101 and HMDB51 datasets. The performance comparison of the proposed HAR system with state-of-the-art techniques signifies that the proposed system is superior and effective in detecting the different activities.
Recovery of coefficients of a heat equation by Ritz collocation method
Authors:   Department of Mathematics, University of Science and Technology of Mazandaran, Iran, Rashedi Prof.Kamal
Published: May 2022

In this work, we discuss a one dimensional inverse problem for the heat equation where the unknown functions are solely time-dependent lower order coefficient and multiplicative source term. We use as data two integral overdetermination conditions along with the initial and Dirichlet boundary conditions. In the first step, the lower order term is eliminated by applying a transformation and the problem is converted to an equivalent inverse problem of determining a heat source with initial and boundary conditions, as well as a nonlocal energy over-specification. Then, we propose a Ritz approximation as the solution of the unknown temperature distribution and consider a truncated series as the approximation of unknown time-dependent coefficient in the heat source. The collocation method is utilized to reduce the inverse problem to the solution of a linear system of algebraic equations. Since the problem is ill-posed, numerical discretization of the reformulated problem may produce ill-conditioned system of equations. Therefore, the Tikhonov regularization technique is employed in order to obtain stable solutions. For the perturbed measurements, we employ the mollification method to derive stable numerical derivatives. Numerical simulations while solving two test examples are presented to show the applicability of the proposed method.
THERMO-MECHANICAL ASSESSMENT OF HIGH ENTROPHY (Fe-Ni-Cx (X=0.3-0.5), (Fe-Cr-Cx (X=0.3-0.5) TERNARY ALLOYS SYSTEM USING CALPHAD METHOD
Authors:   Department of Physics, University of Science and Technology Bannu, 28100, KPK, Pakistan, Shah Waseem Ullah , khan Dil Faraz ,   Department of Physics, University of Science and Technology Bannu, 28100, KPK, Pakistan, yin Haiqing ,   School of material science and engineering, University of Science and Technology Beijing 100083, Beijing P.R China, jan Saeed Ullah ,   Departments of Physics, Islamia College University Peshawar, KPK.Pakistan
Published: May 2022

The thermodynamical assessment of high entropy alloys (Fe-Ni-Cx (X=0.3-0.5)), (Fe-Cr-Cx (X=0.3-0.5)) system is performed in this research work through FEDAMO database and Thermo-Calc software package. The high energy thermal analysis is manipulated for yield strength from FCC to BCC, precipitation from cementite to M7C3 (grain boundaries), Crack Susceptibility Coefficient for Fe-Ni-Cx ,Fe-Cr-Cx ternary alloys system at (1900-3000)K temperature with constant atmospheric pressure of 106 Pascal. The highest crack susceptibility coefficient for Fe-Cr-C, Fe-Ni-C system is found 2.21043, 0.26294 with mass percent of C 0.2500%, at 3000K of temperature with Mass percent. Yield strength from FCC to BCC is found 824.0453, 100.67063 for Fe-Cr-C, Fe-Ni-C ternary alloys. Phase transition is noted from cementite to M7C3 at 1346.77339 K. FCC_A1#3 phases with 0.98772 moles and 0.01228 mole Of M7C3 with 0 moles of M23C6 carbide phases observed. The comprehensive line investigation of mechanical properties is justified with simulation/computational inputs. The results are feasible for industrial sectors and metallurgical centers for operation. The alloy shows equilibrium and good stability.
Radar Cross Section (RCS) of perfect electromagnetic conductor (PEMC) cylinder by a Laguerre–Gaussian beam
Authors:   Department of Physics, University of Agriculture, Faisalabad 38000, Pakistan., M. Arfan , A. Ghaffar ,   Department of Physics, University of Agriculture, Faisalabad 38000, Pakistan., M.Y. Naz ,   Department of Physics, University of Agriculture, Faisalabad 38000, Pakistan., M. A. Hanif ,   Department of Chemistry, University of Agriculture, Faisalabad 38000, Pakistan.
Published: May 2022

Radar Cross Section (RCS) of perfect electromagnetic conductor (PEMC) cylinder using an incident Laguerre–Gaussian (LG) beam has been investigated. LG beam potential function is used to expand the incident and scattered electromagnetic (EM) field components. The co- and cross-polarized scattered field coefficients are determined by applying the PEMC boundary conditions at the interface i.e., 𝑟=𝑎. The obtained values for co- and cross-polarized scattered field components would be helpful to find out the scattered field distribution. A comparison of our results for PEMC and PMC for fundamental LG beam with beam mode 𝑝=0, 𝑙=0, i.e., 𝐿𝐺00 match with the gaussian beam scattering as witnessed in published work. The effects of OAM mode index (𝑙), beam waist radius (𝑤0), and PEMC cylinder radius on RCS have been analyzed.
Production of Titanium oxide nano wires with bundle structure using single anodic process
Authors:   Dept. of Physics Education college, Mustansiriyah University, Baghdad, Iraq, Hashim Mustafa Shakir , Khaleel Reem Saadi ,   Dept. of Physics Education college, Mustansiriyah University, Baghdad, Iraq
Published: May 2022

In a single process, the surface of Ti was transformed into titanium oxide nanowires (TNWs) at room temperature. The rapid breakdown anodizing method (RBA) of producing deposited spherical nanoparticles was modified. Instead, TNWs attached to the Ti metal base were formed. To slow down the reactions of these processes, 25,50, and 75wt % glycerol were added separately to the anodizing solution of RBA. The results of the X-ray diffraction (XRD) tests revealed the amorphous structure of the formed TNWs for all samples. The produced TNWs had the shape of micro bundles with nanowires. Their diameters were less than 50 nm, as shown by scanning electron microscope (SEM) images. The prevalence of titania bundles was more intense when a lower amount of glycerol was used. The tallest length of the nanowires decreased from 32μm to 8μm with the increase of glycerol; so by using a suitable electrolyte solution, the anodizing process can be effective for controlling the size of TNWs. The decrease in atomic percent oxygen with increasing glycerol was confirmed by energy dispersion X-ray (EDX) spectra.
Smart Health Card Using Neural Network
Authors: Chugh Nilesh Suresh  , Sahil Milind Chavan  , Patil Rohit Dinkar  , Patil Shreeraj Vikas  , Dr. Geeta. S. Navale  , Ms. Supriya Lokhande
Published: May 2022

Monitoring systems in hospitals and other health organizations have exploded in popularity over the last decade, and wireless healthcare monitoring devices using various technologies have attracted interest in many countries across the world. People are capable of to a variety of diseases as a result of their living habits and the state of the environment. As a result, predicting sickness at an early stage becomes a critical task. However, doctors find it challenging to make precise predictions based on symptoms. The most difficult challenge is correctly predicting sickness. To solve this problem, data mining plays a critical role in disease prediction. Medical science generates a vast amount of data each year. The proper analysis of medical data has been benefited from early patient care due to the increased amount of data growth in the medical and healthcare fields. Data mining uses disease data to uncover hidden pattern information in massive amounts of medical data. We developed a broad disease prediction based on the patient's symptoms. We use CNN algorithm to predict the disease.
Performance Optimization and Health Monitoring of Electric Vehicle Batteries using IoT
Authors: Shraddha Bhagwan Patil  , Vaishnavi Sheshrao Nimbone  , Yogita Eknath Kahandal  , Mahesh Chanrabhan Darade  , Prof. N. I. Bhopale
Published: May 2022

Electric vehicle (EV) manufacturers are using Lithium-ion [Li-ion] batteries as a part of the vehicle’s rechargeable energy storage system. Li-ion is a low-maintenance battery, but it is fragile and requires a protection circuit to maintain safe operation. The protection circuit limits the peak voltage of each cell during charge and prevents the cell voltage from dropping too low on discharge. Also, the performance of lithium-ion batteries can be optimized by monitoring different battery parameters. The cell temperature is monitored to prevent temperature extremes. The maximum charge and discharge currents can be limited, with these precautions in place, the possibility of metallic lithium plating occurring due to overcharge and overheating is virtually eliminated. It also measures the input and output voltage and current parameters and Monitoring of battery cell status (to check cell is weak). The proposed system deals with overcharge and over-discharge problems of Li-ion batteries and also proposed system protects the battery from over-temperature damage of the battery.
Vaccination Tracking System Using ML Algorithm
Authors: Shivani Shinde  , Anagha Jadhav  , Manisha Gore  , Prof. Rohini S. Jadhav
Published: May 2022

Coronavirus disease 2019 (COVID-19) known to originate from Wuhan city in China in November 2019 and was declared a pandemic by the in January 2020 World Health Organization (WHO). COVID-19 is known to be a highly infectious virus. Infected individuals do not initially exhibit symptoms, while some remain asymptomatic. We proposed a system where we can get to know the vaccinated persons information and keep track on percent of peoples vaccinated. The system is build using php and Python with machine learning techniques. The proposed system uses machine learning techniques of Support Vector Machine (SVM) for getting the vaccine survey status.
Elder Assist - An IoT Based Fall Detection System
Authors: Prashant Wakhare  , Hrishikesh Tavar  , Priyanka Jagtap  , Mayur Rane  , Harshvardhan Waghmare
Published: May 2022

With the ever-growing population, there is an urgent need for the development of fall detection systems that can help individuals in falling which is one of the most damaging events elderly people may experience. Thanks to the rapid development of sensors and the development of the Internet of Things (IoT), human-computer interaction using sensor fusion has been considered an efficient method to deal with the problem of fall detection and can help in aiding immediately. In this paper, we discuss about a solution to this problem by proposing an IoT based device which can be implemented on a walking stick which is used by elderly people. This device is made using sensor networks and IoT. The development of technology requires the innovation of a device that can be used to help the blind & senior citizen as a road guide. The project describes walking stick. Senior citizen & blind people must ask guidance to reach their destination. They must face more struggles in their life daily life. Using this stick, a person can walk more confidently. This stick detects the object in front of the stick and gives response to the user. So, the person can walk without any fear. This system will be best solution to overcome their difficulties. We are going to upgrade the project by increasing its application. In this project, we are going to use ultrasonic sensor to sense any obstacle. The smart walking stick helps people to perform navigation and to do their work easily and comfortably. In smart walking stick, the object is detected with the help of ultrasonic sensor which detects the distance between object and the stick. If any obstacle comes in front of stick, he/she can know about the obstacle by indication.
Analisis Pengaruh Indeks Pembangunan Manusia, Pertumbuhan Ekonomi dan Inflasi Terhadap Pengangguran Di Provinsi Maluku
Authors: Saptenno Fibryano , Maatoke Charen Kezia
Published: May 2022

Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh Indeks Pembangunan Manusia, Pertumbuhan Ekonomi, dan Inflasi Terhadap Tingkat Pengangguran pada kabupaten/kota di Provinsi Maluku. Pada penelitian ini tingginya tingkat pengangguran menjadi masalah yang akan diteliti. Penelitian ini menggunakan jenis penelitian deskriptif kuantitatif. Data yang digunakan adalah data sekunder mulai dari tahun 2015 sampai dengan tahun 2020 pada 11 kabupaten/kota di Provinsi Maluku. Variabel independen dalam penelitian ini adalah Indeks Pembangunan Manusia, Pertumbuhan Ekonomi dan Inflasi sedangkan untuk variabel dependennya adalah Tingkat Pengangguran. Data dalam penelitian ini dianalisis dengan menggunakan regresi data panel. Hasil penelitian ini menunjukkan bahwa variabel Indeks pembangunan Manusia berpengaruh negatif dan signifikan terhadap tingkat pengangguran, variabel Pertumbuhan Ekonomi berpengaruh negatif dan tidak signifikan terhadap Tingkat Pengangguran, dan variabel Inflasi berpengaruh negatif dan tidak signifikan terhadap Tingkat Pengangguran
May IgG4-related disease be reactivated by SARS-CoV-2 infection?
Authors: Kobak Senol
Published: May 2022

Patients with inflammatory rheumatic diseases are at high risk for severe outcomes associated with coronavirus disease 2019 (COVID-19) due to the immune disturbances related to the disease, administration of immuno-

suppressive drugs and comorbidities [1, 2].
Perspectives on the Utilisation of Football Facilities in Monze District
Authors: Hamusoogwa Fair Mweemba , Chipindi Ferdinand Mwaka
Published: May 2022

Football facilities are an essential component of any society as it provides open spaces that help people, both old and young, develop physically. In addition, it provides space for recreation and space for various other activities that people carry out to have a balanced way of life. The purpose of the study was to investigate the utilisation of football facilities in selected clubs of Monze district, Zambia. A sample of 3 coaches, three club managers, one council planning officer, and three chairpersons was chosen from the three clubs and 30 athletes, i.e. ten from each club in the Monze district. The homogeneous purposive sampling technique was used to select a small number of athletes of the same characteristics from the same clubs. The study employed a descriptive research design where the qualitative method was used. Data were collected via face-to-face interview guide, focus group discussion guide, phone interview, observation checklist, and open-ended questionnaires. Qualitative data were analysed thematically. The research found that football facilities were utilised for various activities in the selected clubs. Such activities included International Teachers’ Day, International Nurse’s Day, and AIDS day. At times, the facilities were used for political campaigns by various political parties during the by-elections and general elections. The study recommended a need for football club maintenance to optimise the utilisation of football facilities in the community.
The content of natural radionuclides 40K, 226Ra, 228Th in the chernozems of the Kamennaya Steppe Reserve
Authors:   Voronezh State University, Gorbunova Nadezhda , Gromovik Arkady , Devyatova Tatiana
Published: May 2022

The article discusses the results of a study of the content of natural radionuclides (40K, 226Ra, 228Th) in ordinary chernozems of the Kamennaya Steppe Reserve. The studies were carried out in soils not subject to any anthropogenic impact under the forest belt, as well as mowed and unmowed fallows. The development of nuclear energy, the widespread use of radioactive sources in industry, medicine, and agriculture has led to an increase in the content of not only artificial, but also natural radionuclides. It was revealed that the accumulation of natural radionuclides is determined by the organic matter of soils. In the chernozems under the forest belt, with the highest carbon content of organic compounds, a slightly larger amount of natural radionuclides (40K, 226Ra, 228Th) is noted. This phenomenon occurs due to selective complexation with soil organic ligands, which are enriched in the studied soils. The highest coefficient of variation is typical for 226Ra, which indicates the inhomogeneity of the activity of the radionuclide in space. 40K and 228Th are characterized by lower values. The activity of these radionuclides is more uniformly distributed in space. The obtained results are recommended to be used when conducting monitoring studies in order to prevent contamination of the soil cover with radionuclides. Keywords: CHERNOZEMS, SPECIFIC RADIOACTIVITY, NATURAL RADIONUCLIDES, POTASSIUM, RADIUM, THORIUM, KAMENNAYA STEPPE RESERVE
AXIOLOGICAL FOUNDATIONS OF PERSONALITY UNDER THE CONDITIONS OF SOCIAL AND CULTURAL TRANSFORMATION OF THE SOCIETY
Authors:   Karaganda Technical Universitynamed after Abylkas Saginov,Karaganda, Republic of Kazakhstan, Shormanbayeva D. , Ivlyeva Y. ,   Karaganda Technical Universitynamed after Abylkas Saginov,Karaganda, Republic of Kazakhstan, Sharipova R. ,   Karaganda Technical Universitynamed after Abylkas Saginov,Karaganda, Republic of Kazakhstan, Abdrakhmanova А. ,   Karaganda Technical Universitynamed after Abylkas Saginov,Karaganda, Republic of Kazakhstan
Published: May 2022

In the conditions of sociocultural transformation of society, there is a change in the system of values that determine social reality, which are basic, these are ideas about norms and values, as well as axiological innovations that characterize the ongoing process of revaluation of values. This process extremely complicates the adaptive potential of an individual, has a deforming effect on his personal development, leads to an increase in maladaptive potential and an identity crisis. This, in turn, leads to a change in the previously learned system of norms and values and the formation of a new hierarchy of higher values of being and society as a whole.
MODERN FOREIGN POLICY RELATIONS THE REPUBLIC OF KAZAKHSTAN AND THE REPUBLIC OF KOREA: 30th anniversary of the foreign relations of Kazakhstan and the Republic of Korea
Authors:   Al-Farabi Kazkh National University, Almaty, Kazakhstan, Men D. , Pak T. ,   Al-Farabi Kazkh National University, Almaty, Kazakhstan
Published: May 2022

In the article, the authors consider the political aspects of international relations between the Republic of Kazakhstan and the Republic of Korea. Political relations and the development of democratic processes in both countries are studied. An interdisciplinary approach has been taken to the disclosure of cooperation over the entire 30-year historical period since the conclusion of diplomatic relations and the transition to a qualitatively new format of partnership in a wide field of interaction. A political approach to the study of the problem of international events in the Asian continent has been developed. The positive role of international relations over the past decades between the countries of Central Asia and Seoul is revealed. For the Republic of Korea, it is a very promising and dynamically developing region with rich natural resources and large transit and transport potential. Recent events have demonstrated the interest of economically developed countries of the world in cooperation with Kazakhstan. The significance of the Korean experience, the main load-bearing structures on which the modern foreign policy model of the Republic of Korea is based for Kazakhstan, requires assessment from different angles, including its interests primarily in the Central Asian region. International cooperation with the Republic of Korea and its experience in organizing an open policy are of considerable importance for Kazakhstan.
POLITICAL AND SOCIAL PROCESSES OF THE FUTURE OF MANKIND
Authors:   Abai Kazakh National Pedagogical University, Almaty, Kazakhstan, Abeuova Sh. , Kuanyshbayeva Zh. ,   Abai Kazakh National Pedagogical University, Almaty, Kazakhstan, Dodaeva K. ,   Kazakh Academy of Sports and Tourism, Almaty, Kazakhstan
Published: May 2022

This article presents the current problems of futurology and its classification. Here there is a need to expand the scope of the doctrine of futurology, since it can not be limited only to the future of humanity, so we can conclude that " futurology is a doctrine of great practical importance for humanity as a whole, studying the content of the measurement of time in the future." Such problems as the global problems that concern humanity at the present time, the contradictions between man and the world, the assertion and loss of hope and faith in the future, the boundlessness of the future and the clarity of time, require new knowledge, confirmation of one's own position of world perception and the formation of a different attitude to it.
THE ROLE OF ABAY'S PHILOSOPHY IN EDUCATION OF PATRIOTISM OF KAZAKHSTAN YOUTH
Authors:   Sh. YessenovCaspian University of Technology and Engineering, Aktau, Kazakhstan, Nabiyeva L.I. , Abdir К.A. ,   M.Kh. Dulati Taraz Regional University, Taraz, Kazakhstan, Aitymbetov N.I. ,   Al-Farabi Kazakh National University, Almaty, Kazakhstan
Published: May 2022

The article deals with philosophical thoughts in the works of the great Kazakh thinker Abai Kunanbaev. Abai's philosophy, his deep thoughts require a new scientific approach. Therefore, the authors place great emphasis on the comparative study of the harmony of the past and the new era in the works of the great poet. The authors of the article tried to reveal the role of Abay's philosophical thoughts in the education of modern Kazakhstani youth in patriotism. The article provides examples from some of the poet's works and provides literary explanations that reveal their meaning. The authors came to the conclusion that Abai should be promoted as much as possible in the country in order to attract young people to work and science. The main idea of ​​the author coincides with the idea of ​​rethinking our great personalities for the spiritual revival of our state.
Measurement report: On the contribution of long-distance transport to the secondary aerosol formation and aging
Authors: Zhong Haobin , Huang Ru-Jin , Lin Chunshui , Xu Wei , Duan Jing , Gu Yifang , Huang Wei , Ni Haiyan , Zhu Chongshu , You Yan , Wu Yunfei , Zhang Renjian , Ovadnevaite Jurgita , Ceburnis Darius , O'Dowd Colin D.
Published: May 2022

Abstract. To investigate the physio-chemical properties of aerosol transported from major pollution regions in China, observations were conducted ~200 m above the ground at the junction location of the North China Plain and Fenwei Basin, which are two regions of top priority for China’s blue sky campaign. We identified three pollution transport sectors including those from Beijing-Tianjin-Hebei (BTH), urban Guanzhong Basin (GZB), northern China and one clean transport sector from rural Guanzhong Basin region. Secondary inorganic aerosol (SIA) constituted a major fraction (39–46 %) in all pollution transport sectors with high sulphur oxidation ratio (0.44–0.58) and nitrogen oxidation ratio (0.24–0.29), suggesting efficient formation of secondary inorganic aerosol during regional transport. While more oxidized oxygenated organic aerosol (MO-OOA) played a dominant role in all sectors including the clean one, accounting for 42–58 % of total organic aerosol. Elemental analysis (O and C) shows that aerosol particles at this receptor site were much more oxidized than urban regions, pointing that long-range transport contributed markedly to the organic aerosol oxidation and aging. Case studies of pollution events with high sulphate, nitrate and more-oxidized oxygenated organic aerosol production rate indicate the strong formation efficiency of secondary aerosol during regional transport in the Beijing-Tianjin-Hebei transport sector.
Evaluation of Isoprene Nitrate Chemistry in Detailed Chemical Mechanisms
Authors: Mayhew Alfred W. , Lee Ben H. , Thornton Joel A. , Bannan Thomas J. , Brean James , Hopkins James R. , Lee James D. , Nelson Beth S. , Percival Carl , Rickard Andrew R. , Shaw Marvin D. , Edwards Peter M. , Hamilton Jaqueline F.
Published: May 2022

Abstract. Isoprene nitrates are important chemical species in the atmosphere which contribute to the chemical cycles that form ozone and secondary organic aerosol (SOA) with implications for climate and air quality. Accurate chemical mechanisms are important for the prediction of the atmospheric chemistry of species such as isoprene nitrates in chemical models. In recent years, studies into the chemistry of isoprene nitrates have resulted in the development of a range of mechanisms available for use in the simulation of atmospheric isoprene oxidation. This work uses a 0-D chemical box-model to assess the ability of three chemically detailed mechanisms to predict the observed diurnal profiles of four groups of isoprene-derived nitrates in the summertime in the Chinese Megacity of Beijing. An analysis of modelled C5H9NO5 isomers, including isoprene hydroperoxy nitrate (IPN) species, highlights the significant contribution of non-IPN species to the C5H9NO5 measurement, including the potentially large contribution of nitrooxy hydroxyepoxide (INHE). The changing isomer distribution of isoprene hydroxy nitrates (IHN) derived from OH-initiated and NO3-initiated chemistry is discussed, as is the importance of up-to-date alkoxy radical chemistry for the accurate prediction of isoprene carbonyl nitrate (ICN) formation. All mechanisms reasonably reproduced C4H7NO5 as predominately formed from the major isoprene oxidation products, methyl vinyl ketone (MVK) and methacrolein (MACR). This work explores the current capability of existing chemical mechanisms to accurately represent isoprene nitrate chemistry in urban areas significantly impacted by anthropogenic and biogenic chemical interactions, suggests considerations to be taken when applying these mechanisms to ambient scenarios, and makes some proposals for the future development of isoprene mechanisms.