bluuebunny/crossref_metadata_2025 huggingface dataset:
Awareness is in the Eye of the Observer: Preserved Third-Person Awareness of Deficit in Anosognosia for Hemiplegia
Authors: Besharati Sahba , Jenkinson Paul Mark , Kopelman Michael , Solms Mark , Moro Valentina , Fotopoulou Aikaterini
Published: September 2021

In recent decades, the research traditions of (first-person) embodied cognition and of (third-person) social cognition have approached the study of self-awareness with relative independence. However, neurological disorders of self-awareness offer a unifying perspective to empirically investigate the contribution of embodiment and social cognition to self-awareness. This study focused on a neuropsychological disorder of bodily self-awareness following right-hemisphere damage, namely anosognosia for hemiplegia (AHP). A previous neuropsychological study has shown AHP patients, relative to neurological controls, to have a specific deficit in third-person, allocentric inferences in a story-based, mentalisation task. However, no study has tested directly whether verbal awareness of motor deficits is influenced by either perspective-taking or centrism, and if these deficits in social cognition are correlated with damage to anatomical areas previously linked to mentalising, including the supramarginal and superior temporal gyri and related limbic white matter connections. Accordingly, two novel experiments were conducted with right-hemisphere stroke patients with (n = 17) and without AHP (n = 17) that targeted either their own (egocentric, experiment 1) or another stooge patient’s (experiment 2) motor abilities from a first-or-third person (allocentric in Experiment 2) perspective. In both experiments, neurological controls showed no significant difference between perspectives, suggesting that perspective-taking deficits are not a general consequence of right-hemisphere damage. More specifically, experiment 1 found AHP patients were more aware of their own motor paralysis when asked from a third compared to a first-person perspective, using both group level and individual level analysis. In experiment 2, AHP patients were less accurate than controls in making allocentric, third-person perspective judgements about the stooge patient, but with only a trend towards significance and with no within-group, difference between perspectives. Deficits in egocentric and allocentric third-person perspective taking were associated with lesions in the middle frontal gyrus, superior temporal and supramarginal gyri, with white matter disconnections more predominate in deficits in allocentricity. This study confirms previous clinical and empirical investigations on the selectivity of first-person motor awareness deficits in anosognosia for hemiplegia and experimentally demonstrates for the first time that verbal egocentric 3PP-taking can positively influence 1PP body awareness.
The global polarisation of remote work
Authors: Braesemann Fabian , Stephany Fabian , Teutloff Ole , Kässi Otto , Graham Mark , Lehdonvirta Vili
Published: August 2021

The Covid-19 pandemic has led to the rise of digitally enabled remote work with consequences for the global division of labour. Remote work could connect labour markets, but it might also increase spatial polarisation. However, our understanding of the geographies of remote work is limited. Specifically, in how far could remote work connect employers and workers in different countries? Does it bring jobs to rural areas because of lower living costs, or does it concentrate in large cities? And how do skill requirements affect competition for employment and wages? We use data from a fully remote labour market - an online labour platform - to show that remote platform work is polarised along three dimensions. First, countries are globally divided: North American, European, and South Asian remote platform workers attract most jobs, while many Global South countries participate only marginally. Secondly, remote jobs are pulled to large cities; rural areas fall behind. Thirdly, remote work is polarised along the skill axis: workers with in-demand skills attract profitable jobs, while others face intense competition and obtain low wages.The findings suggest that agglomerative forces linked to the unequal spatial distribution of skills, human capital, and opportunities shape the global geography of remote work. These forces pull remote work to places with institutions that foster specialisation and complex economic activities, i.e. metropolitan areas focused on information and communication technologies. Locations without access to these enabling institutions - in many cases, rural areas - fall behind. To make remote work an effective tool for economic and rural development, it would need to be complemented by local skill-building, infrastructure investment, and labour market programmes.
A Total Survey Error Perspective on Psychological Research with Unaccompanied Refugee Minors
Authors: Mayer Sabrina Jasmin , Scholaske Laura
Published: September 2021

Surveys of specific target groups that are hard to survey are prone to errors and biases. In this paper, we use the Total Survey Error (TSE) framework and a study on unaccompanied refugee minors (URM) in Germany to discuss how a mixed-methods quantitative-dominant research design can address challenges of quantitative-only surveys of such groups. We show that unit nonresponse and measurement are two main levels of bias that can be partly supplemented by qualitative research. In addition, taking ethical considerations into account when researching URMs affects the quality of quantitative surveys. This effect cannot be avoided, but it should be classified by researchers. We conclude that surveying hard-to-survey populations benefits from a combination of quantitative surveys and semi-structured interviews.
HUBUNG ANTARA KECERDASAN EMOSIONAL DAN KECERDASAN SPRITUAL DENGAN KEPUASAN KERJA GURU SEKOLAH DASAR NEGERI SE KECAMATAN DUMAI BARAT KOTA DUMAI
Authors: Weni Weni , Saam Zulfan , Azhar Azhar
Published: September 2021

This study aims to determine the relationship between emotional intelligence and spiritual intelligence with teacher job satisfaction. This study uses a survey method with correlational techniques. The population of the study was the teachers of SDN in Dumai Barat District, Dumai City with a sample of 150 people. The instrument used for data collection is a number of written questions with 4 variations of answer choices. The instrument item validation was tested using product moment correlation, while the instrument reliability test was calculated using the Alpha Conhbach formula. The results showed that (1) there was a significant relationship between spiritual intelligence and job satisfaction of State Elementary School teachers in Dumai Barat District, Dumai City. (2). There is a very strong relationship between spiritual intelligence and job satisfaction of State Elementary School teachers in Dumai Barat District, Dumai City. (3). There is a positive and significant relationship between emotional intelligence and spiritual intelligence together with job satisfaction of State Elementary School teachers in Dumai Barat District, Dumai City. The results of this study are expected to be useful for improving work stress, emotional intelligence and personality of State Elementary School teachers in West Dumai District, Dumai City. The conclusion of this study shows that job satisfaction can be reduced through increasing emotional intelligence and spiritual intelligence either alone or together.
PELAKSAANAAN SEKOLAH SIAGA BENCANA DI SD NEGERI 19 KAMPUNG BARU KECAMATAN PARIAMAN TENGAH, KOTA PARIAMAN
Authors: Dewi Ramadhan
Published: September 2021

The Disaster Preparedness School (SSB) which is an activity to build school communities through strengthening knowledge and attitudes, school policies, emergency response plans, school early warning systems, and resource mobilization based on existing school capacities in anticipating disaster risk. Descriptive research type. Sampling technique with purposive sampling. Based on this purposive sampling technique, researchers determined key informants including the Principal, Deputy Principal, and students. The results showed that: The implementation of the disaster preparedness school program at the 19 Primary Schools in Kampung Baru in Pariaman Tengah District, namely knowledge of attitudes and actions, school policies, school preparedness and resource mobility have been categorized as good. There are obstacles in the implementation of the disaster preparedness school program in the form of lack of funds and the lack of seriousness of students in the activities so that the implementation of the disaster preparedness school program has not run optimally. Efforts to be made in the future by the teacher in charge of disaster preparedness school in the form of increasing the desire of students to learn by motivating and making it more interesting so that students become interested and increase it into extracurricular activities and trying to make a subject.
Habitat and Behavioral Observation of Indian Flying Fox Pteropus giganteus (BRÜNNICH, 1782) in Sallaghari, Bhaktapur, Nepal
Authors: Prajapati Jamuna , Chalise Mukesh Kumar , Karmacharya Dikpal Krishna
Published: August 2021

The study on Indian flying fox (Pteropus giganteus), the most diverse group of mam­mals, was conducted from17th September, 2016 to 3rd March, 2017 at Sallaghari, Bhaktapur to collect baseline information on habitat, behavior, population and threats. The population structure and estimated populations along with their habitat using direct observation and the branch estimation method were assessed. The general behaviour of the individual animal was observed and recorded using focal animal sampling over a 10 minute periods either in the morning or evening. Local people and members of the Nepal Army were interviewed using semi-structured questionnaires in order to assess threats.
Most flyng fox were found roosting in tall Eucalyptus spp. trees and the highly branched Populus spp. Resting was observed as the most the dominant behavior among male, female and young individuals during the study period. Highest populations (n=1421) were observed in September 2016 and lowest (n=36) in February 2017. Habitat de­struction, lack of food, urbanization and electrocution were the major threats to P. gi­ganteus. The population is decreasing compared to previous studies. Electrocution and persecution by humans are the major causes of accidental death each year. Therefore, in order to conserve and save this species, habitat and afforestation along with aware­ness programs should be implemented urgently.
Antioxidant Potentials of morel mushroom (Morchella conica Pers.) from Nepal
Authors: Raut Jay Kant , Adhikari Minu , Bhushal Santoshi , Bhatt Lok Ranjan
Published: August 2021

Oxidative stress contributes to the aging process and raises the risk of several chronic diseases. In recent years, natural antioxidants are being explored intensively for their ability to protect organisms and cells from oxidative stress-induced harm. Furthermore, mushrooms are widely used as a source of natural therapies for a variety of ailments caused by oxidative stress. In this study antioxidant activities of Morchella conica Pers. extracts obtained with methanol were investigated. This is supposed to be the first report of the antioxidant activity of morel mushroom from Nepal. Five complimentary test systems; namely DPPH free radical scavenging, total phenolic compounds, total flavonoid, ascorbic acid, and carotenoid concentration were used. At concentrations of 12.5, 25, 50, 100 and 200 μg/ml the methanol extracts scavenged 69, 69, 70, 68 and 81% DPPH radicals. The total phenolic content of the extracts was 4.304±0.12 mg/g gallic acid equivalent. The total flavonoid compound concentration was measured as 0.381±0.00 mg/g quercetin equivalent. The concentrations of ascorbic acid were recorded 19±0.02 mg/g dry sample. β-carotene and lycopene detected in the extract of M. conica are 0.020±0.001 and 0.021±0.002 μg/ml respectively. Finally, the findings of this study demonstrated that M. conica has a high antioxidant activity, making it potentially effective in antioxidant therapy and therapeutic intervention in oxidative stress-related disorders.
Object Based Land Cover Extraction Using Open Source Software
Authors: Joshi Abhasha , Joshi Janak Raj , Shrestha Nawaraj , Shrestha Saroj , Gautam Sudarshan
Published: September 2021

Land cover is observed bio-physical cover of the earth’s surface and is an important resource for global monitoring studies, resource management, and planning activities. Traditionally these land resources were obtained from imagery using pixel based image analysis. But with the advent of High resolution satellite imagery and computation techniques these data are now widely being prepared using Object based Image Analysis (OBIA) techniques. But mostly only algorithm provided in commercial software and Ecognition in particular is being used to study OBIA. This paper aims to assess the application of an open source software Spring for OBIA. In this Study 0.5 meter pan sharpened Geo-Eye image was classified using spring software. The image was first segmented using region growing algorithm with similarity and area parameter. Using hit and trail method best parameter for segmentation for the study area was found. These objects were subsequently classified using Bhattacharya Distance. In this classification method spectral derivatives of the segment such as mean, median, standard deviation etc. were used which make this method useful. However the shape, size and context of the segment can’t be accounted during classification. i.e. rule based classification is not possible in spring. This classification method provides satisfactory overall accuracy of 78.46% with kappa coefficient 0.74. This classification method gave smooth land cover classes without salt and pepper effect and good appearance of land cover classes. However image segmentation and classification based on additional parameters such as shape and size of the segment, contextual information, pixel topology etc may give better classification result. Nepalese Journal on Geoinformatics -12, 2070 (2013AD): 26-30
Carotid stenting in Nepal: Our experience with two cases of carotid stenosis
Authors: Rajbhandari Pravesh , Rajbhandari Saujanya , Neupane Anish , Martin Tariq , Pant Basant
Published: September 2021

Carotid artery stenosis is one of the important risk factors for stroke. Carotid endarterectomy and carotid artery stenting are the available treatment options for managing carotid artery stenosis patients. The technology shift towards carotid artery stenting is promising due to its less invasive approach. Carotid artery stenting has become an alternative for surgically high-risk patients and high carotid lesions (lesions located at or above the second cervical vertebra). Here, we present two cases with carotid artery stenosis who were successfully treated with open-cell type carotid stent with distal filter embolic protection device.
Sturge-Weber syndrome: Clinico-neuroradiological features and treatment profile
Authors: Chatterjee Anirban , Sinha   Malay Kumar
Published: September 2021

Introduction:  Sturge Weber syndrome (SWS) is a rare, nonhereditary genetic disorder. SWS belongs to a diverse group of Neurocutaneous disorders. A somatic mutation in the early development of cells in SWS patients causes the formation of a congenital capillary vascular malformation. SWS is characterized by nevus flammeus on the face (also called Port-Wine Birthmark), brain (leptomeningeal angioma), and eyes (glaucoma).
Methods and Materials: We present three patients diagnosed with Sturge Weber syndrome who attended a teaching hospital between 2013 to 2016. The clinical, neuroradiological features and treatment of SWS patients were reviewed retrospectively from medical records.
Results: Two males and females with SWS were reviewed. The facial nevus flammeus was unilateral in one patient and bilateral in two patients. The extensive nevus flammeus including the face, trunk, and upper limb was found in one patient. Epilepsy, neurodevelopmental delay, and intellectual disability were the most common presentation in the series. Episodic hemiparesis was manifested in one patient. Levetiracetam and oxcarbazepine, either single or combined, were used in every SWS patient (n=3). Six months seizure-free was obtained in a patient with SWS with combined anticonvulsant therapy. 
Conclusion: Drug-refractory and early-age epilepsy is associated with lower intelligence level that consequently affects poor social skill and quality of life in the patients with SWS. Sudden or gradual loss of vision is also a threat for SWS patients. Diagnosis at birth or during early age, multidisciplinary intervention, and follow-up is a must to improve absolute outcomes in the patients with SWS.
Nitrogen fertilization strategies for center-pivot irrigated maize crop
Authors: Ernst Juan Manuel , Beretta Andres , Barbazán Mónica M. , Puppo Lucía
Published: September 2021

In the last 15 years, there has been an expansion of the use of center-pivots for irrigation in Uruguay. This equipment allows the application of diluted fertilizer in the irrigation water. The study aimed to generate information on fertilization strategies with nitrogen (N) in irrigated maize crops. A study was performed where five treatments were evaluated: T0, without additional nitrogen fertilization to the basal sowing fertilization; C0, cover fertilization with 150 Kg N ha-1 split in three (V3) and seven leaves (V7); F1, idem “C0” but with liquid fertilizer in water; F2, 150 Kg N ha-1 as liquid fertilizer in water split weekly from V3 to reproductive stage (R1); F3, idem "F2" but with 225 Kg N ha-1. Irrigation was done according to water balance and the soil moisture was measured with an FDR probe. The N plant level and biomass were evaluated in states V3, V6, R1 and physiological maturity (R6). The grain yield was determined at harvest. The correlation between the color values and Color Index (InCol) was analyzed in R1 using aerial photography and software, with: % N; biomass; Nitrogen Sufficiency Index (NSI); and grain yield (kg ha-1). The yield was higher in the treatment with the highest N dose, with no significant differences. No differences were found between the sources of N (sulfur urea and Fertec®) for the evaluated variables. A high correlation was obtained between the colors and the InCol and the cultivation variables.
Penggunaan Metode AHP Pengangkatan Karyawan Tetap Pada PT Prima Top Boga
Authors: Kodir Saepul , Nurmalasari Nurmalasari , Yoraeni Ani
Published: September 2021

Karyawan merupakan aset penting bagi perusahaan. Tanpa karyawan. Untuk itu, PT Prima Top Boga haruslah tidak salah dalam merekrut karyawannya. Permasalahan yang terjadi pada PT Prima Top Boga yaitu masih belum optimalnya dalam proses perekrutan karyawan tetap dan sering terjadi kesalahan dalam memilih karyawan terbaik untuk direkrut menjadi karyawan tetap. Dalam hal ini penulis menggunakan metode Analytical Hierarchy Process dengan enam kriteria didalamnya sebagai tolak ukur dalam penelitian serta empat alternatif. Pada penelitian ini, penulis membagikan kuesioner kepada tiga responden yang berkompeten pada bidang terkait, kemudian data tersebut diolah dengan menggunakan aplikasi microsoft excel dan aplikasi expert choice. Maka yang berhasil menjadi karyawan tetap adalah Karta Atmaja dengan preferensi sebanyak 0.344. atau 34%.
Klasifikasi Algoritma Naive Bayes Dalam Memprediksi Tingkat Kelancaran Pembayaran Sewa Teras UMKM
Authors: Rachman Rizal , Handayani Rissa Nurfitriana
Published: September 2021

Untuk meminimalisir jumlah penyewa teras untuk UMKM di depan toko Indomaret yang terlambat (out standing) setiap tahunnya dan untuk mengoptimalkan penyewa yang lancar setiap tahunnya. Salah satu cara yang bisa dilakukan manajemen PT. Indomarco Prismatama untuk membantu menentukan prediksi kelancaran pembayaran sewa teras UMKM adalah dengan melakukan pengolahan data histori dari penyewa dengan memanfaatkan teknik data mining menggunakan algoritma naïve bayes. Naïve Bayes merupakan salah satu algoritma data Mining yang berfungsi memprediksi banyaknya penyewa yang terlambat pembayaran. Metode yang digunakan adalah CRISP-DM, melalui proses business understanding, data understanding, data preparation, modeling, evaluation dan deployment. Algoritma yang digunakan untuk meprediksi probabilitas adalah algoritma Naïve Bayes. Data yang digunakan berjumlah 504 data, dengan atribut yang sudah di klasifikasikan berdasarkan kelas yang dibutuhkan Area Manager, Kota, Jenis Kelamin Penyewa, Rata-rata Umur Penyewa, dan Status Pembayaran. Terdapat beberapa Probabilitas yang akan mengitung ke akuratan prediksinya, dan setelah di uji dengan menggunakan algoritma naïve bayes, maka diperoleh hasil persentasi Accuracy 81.81%, Precision 66.66%, Recall 100% dan AUC 0.800 Untuk keakuratan prediksi.
An Invitation from the Displaced: Refuge Restaged in The Jungle and As Far as My Fingertips Take Me
Authors: Casey Jeff
Published: September 2021

Tania El Khoury’s audience-of-one performance piece As Far as My Fingertips Take Me and Joe Murphy and Joe Robertson’s play The Jungle, produced and developed by Good Chance, are twenty-first-century productions that foreground the medial affordances of performance art and drama to foreground Western audiences’ relationships and responses to refugees. I propose a taxonomy of the strategies used in these two works as a model for analyzing theatre and performance about refugees. These strategies are classified in terms of the responses they seek to elicit from the audience, and my analysis explores some of the tactics used to achieve these goals. Remedial strategies counter harmful stereotypes about refugees; transformative strategies challenge and reshape basic conceptions of self, other, nation, and citizenship; and ethotic strategies reorient the audience to consider their relationship with refugees, particularly with respect to their disparate identity positions, mutual responsibility, and interdependence. Fingertips and The Jungle are substantially different artworks but are able to achieve similar results by utilizing the different affordances of their respective mediums. Thus, the taxonomy of strategies provides a more systematic and precise way of analyzing how refugee drama and performance achieve their goals. It avoids being overly prescriptive in how these goals should be achieved and instead recognizes how exploiting different tactics and medial affordances can advocate for refugees and other migrants.
Impact of motivation and job satisfaction on turnover: A case study of food additives producer Company
Authors: Asweni Krishnan  , Sanil S Hishan
Published: September 2021

In the current working environment, employee turnover focused as the main issue found in almost many organizations. Employees are the key to a company's productions and services. When employees are taken good care of by focusing on their needs, they will bring up the company’s performance. However, the increasing percentage of employee turnover makes the company pay more attention to motivation and job satisfaction. Thus, an organization strongly thinks that employee motivation and job satisfaction should reduce the employee turnover rate. This action research was conducted to analyze the current factors influencing motivation and job satisfaction that brings to turnover intention. This research also suggests professional leadership training as a planned intervention towards this company. This research was focused on estimating the outcome of the planned intervention to reduce employee turnover intention in the Company. This action research study was conducted using two frameworks which are Social Exchange Theory and Theory Planned Behaviors. The methodology used in this research was a mixed-method approach by taking two interviews with managers (Qualitative approach), while a questionnaire survey (Quantitative Approach) was conducted with 35 respondents. Thematic Analysis and Statistical Package for the Social Sciences (SPSS) were utilized to analyze the data. Before the intervention, motivation and job satisfaction among employees were evaluated as low, and turnover intention was high based on an interview with managers and pre-survey results. The positive effects of the professional leadership training as intervention organized in the Company initiated are notable in thematic analysis and post-training survey results retrieved from employees. Based on the research, professional leadership training will be recommended for future researchers.
A new species of the weevil genus Alatavia from Kyrgyzstan (Coleoptera: Curculionidae)
Authors: Korotyaev B.A. , Yunakov N.N.
Published: September 2021

Alatavia zaslavskii sp. n., very closely related to A. hirta Korotyaev, 1998, is described from Kyrgyzstan.
WORKING WITH DATA IN STATISTICAL RESEARCH
Authors: Kuzmin I.
Published: September 2021

Statistical data in most cases are described as an arithmetic mean value and a median depending on themselves, in the absence or presence of extreme values, respectively. Also, when using the classical hypothesis testing, errors of the type I (erroneous rejection of the null hypothesis of the absence of differences) and type II (erroneous acceptance of the null hypothesis) inevitably occur. Sometimes in the data, you can make the wrong choice when choosing the dependent and independent variable. The classical check does not give a complete picture of the data of the general population. Confidence intervals for a range of values for selection within a certain probability (95%). One of the modern methods for assessing the mean, mean and other measures is resampling, in particular, bootstrap (multiple generation of samples).
STUDY OF WELL PRESSURE AND DYNAMİCS OF OİL PRODUCTİON GROWTH İN PULSATİNG CASES OF İNİTİAL PRESSURE VALUES
Authors: Kerimova Sh.
Published: September 2021

Pulsations are generated by the generator at the values of the initial pressure applied to the well. Depending on these pulsations, the well pressure and the resulting oil production also change. In this issue, changes in well pressure and oil production are studied.
THE POSSIBILITIES OF THE INTERNET-BASED BLACKBOARD PLATFORM IN DISTANCE TEACHING AND LEARNING OF BULGARIAN AS A FOREIGN LANGUAGE
Authors: Simeonova V.
Published: September 2021

The paper presents the effectiveness of teaching Bulgarian as a foreign language in an electronic environment in a medical university through internet platform “Blackboard”.
ECONOMY OF TATARSTAN IN THE 2000 - 2020
Authors: Sudyin A.
Published: September 2021

The article analyzes the economic situation in Tatarstan in the period from 2000 to 2000. The dynamics of production in the main sectors of the economy, such as oil production, petrochemicals, energy, mechanical engineering, and agriculture, are shown. The economic policy of the Government of the republic is considered.
Interaction of investigator with knowledgeable persons during expert research
Authors: Shapovalov Dmytro
Published: August 2021

The article deals with certain aspects of the use of special knowledge of certain specialists in the course of investigative (search) actions. Theere is the analysis of criminal procedural and other legislative norms, and the critical attitude to reformation processes concerning delimitation and opinion of leading scholars concerning it has been expressed. Procedural actions that require the involvement of forensic specialists have been indicated, in particular: investigative examination, search, investigative experiment.
“Borderland” as a way of preserving and asserting identity. The historical experience of the Native American cultures of Latin America in a universal context
Authors: Shemyakin Yakov
Published: September 2021

The article substantiates the thesis that modern Native American cultures of Latin America reveal all the main features of "borderland" as a special state of the socio-cultural system (the dominant of diversity while preserving the unity sui generis, embodied in the very process of interaction of heterogeneous traditions, structuring linguistic reality in accordance with this dominant, the predominance of localism in the framework of the relationship between the universal and local dimensions of the life of Latin American societies, the key role of archaism in the system of interaction with the heritage of the 1st "axial time», first of all, with Christianity, and with the realities of the "second axial time" - the era of modernization. The author concludes that modern Indian cultures are isomorphic in their structure to the "borderline" Latin American civilization, considered as a "coalition of cultures" (K. Levi-Strauss), which differ significantly from each other, but are united at the deepest level by an extremely contradictory relationship of its participants.
PERINATAL OUTCOME OF VAGINAL BREECH DELIVERY VERSUS CAESAREAN BREECH DELIVERY
Authors: Malik Rupal , Gupta Ritu
Published: September 2021

Background: The aim to find out any differences in outcome between vaginal breech delivery and cesarean breech delivery in our setup

Methods: Data were collected from record book of Department of Gynecology and obstetrics. Data of 100 patients were analysed among which 36 underwent vaginal delivery for breech and 64 underwent cesarean breech delivery

Results: Binary logistic regression was used to compare outcome among different groups. In our study only 5.56% of newborn delivered by vaginal route were admitted to NCU vs. 12.50% in cesarean group which was significant (odds ratio=0.07, P=0.01)

Conclusion:

Keywords: LSCS, Breech, NICU
Perencanaan Peningkatan Tebal Perkerasan Lentur Pada Ruas Jalan Petuk (STA 15+050 – STA 15+500) Kec. Penfui Kota Kupang Menggunakan Metode Bina Marga 2017
Authors: Balido Pandji Thoha S. , Mudjanarko Sri Wiwoho , Safarizki Hendramawat Aski
Published: September 2021

Perkerasan lentur (flexible pavement) adalah sistem perkerasan jalan dimana konstruksi terdiri dari beberapa lapisan. Tiap-tiap lapisan perkerasan pada umumnya menggunakan bahan maupun persyaratan yang berbeda sesuai dengan fungsinya yaitu, menyebarkan roda kendaraan sedemikian rupa sehingga dapat ditahan oleh tanah dasar. Aspal sebagai bahan pengikat merupakan material penting dalam konstruksi perkerasan jalan. Perkerasan jalan di Indonesia sebagian besar menggunakan aspal minyak dengan Penetrasi 60/70. Akan tetapi penggunaan aspal konvensional masih memiliki kelemahan, salah satunya adalah perkerasan jalan tidak mampu menahan beban lalu lintas berlebih dan temperatur tinggi. Penggunaan Asbuton modifikasi (Retona) diharapkan dapat mengatasi kelemahan aspal konvensional tersebut. Aspal Retona dikembangkan melalui proses penyulingan dan ekstraksi Asbuton guna mempertinggi kualitas aspal. Penelitian ini dilakukan di laboratorium PT. Alam Indah Cendana Lestari, Kota Kupang. Penelitian ini bertujuan untuk mengevaluasi kinerja terhadap ruas jalan petuk. Perkerasan jalan tidak mampu menahan beban lalu lintas berlebih dan temperatur tinggi. Perencanaan perkerasan jalan ini adalah untuk mendapatkan tebal struktur perkerasan lentur dengan menggunakan metode Bina Marga 2017.
Study On Machine Learning Algorithms
Authors: R Praba. , G Darshan. , T Roshanraj. K. , B Surya Prakash.
Published: September 2021

Various machine learning algorithms are described in this work. These algorithms are used for a variety of applications, including data mining, image processing, predictive analytics, and so on. The fundamental benefit of employing machine learning is that once an algorithm learns what to do with data, it can complete tasks on its own.
Emotion Detection using Facial Recognition Technique
Authors: Tiwari Ritvik , Thorat Rudra , Abhani Vatsal , Mahapatro Shakti
Published: September 2021

Emotion recognition based on facial expression is an intriguing research field, which has been presented and applied in various spheres such as safety, health and in human machine interfaces. Researchers in this field are keen in developing techniques that can prove to be an aid to interpret, decode facial expressions and then extract these features in order to achieve a better prediction by the computer. With advancements in deep learning, the different types of prospects of this technique are exploited to achieve a better performance. We spotlight these contributions, the architecture and the databases used and present the progress made by comparing the proposed methods and the results obtained. The interest of this paper is to guide the technology enthusiasts by reviewing recent works and providing insights to make improvements to this field.
An Efficient Road Surveillance Approach to Detect, Recognize & Tracking Vehicles Using Deep Learning Methods
Authors: Yadav Vinod Kumar , Yadav Dr. Pritaj , Sharma Dr. Shailja
Published: September 2021

In the current scenario on the increasing number of motor vehicles day by day, so traffic regulation faces many challenges on intelligent road surveillance and governance, this is one of the important research areas in the artificial intelligence or deep learning. Among various technologies, computer vision and machine learning algorithms have the most efficient, as a huge vehicles video or image data on road is available for study. In this paper, we proposed computer vision-based an efficient approach to vehicle detection, recognition and Tracking. We merge with one-stage (YOLOv4) and two-stage (R-FCN) detectors methods to improve vehicle detection accuracy and speed results. Two-stage object detection methods provide high localization and object recognition precision, even as one-stage detectors achieve high inference and test speed. Deep-SORT tracker method applied for detects bounding boxes to estimate trajectories. We analyze the performance of the Mask RCNN benchmark, YOLOv3 and Proposed YOLOv4 + R-FCN on the UA-DETRAC dataset and study with certain parameters like Mean Average Precisions (mAP), Precision recall.
A Novel IOT Based Smart Wheelchair Design for Cerebral Palsy Patients
Authors: Kataria Shaolin , Menon Aditya Sunil , Sultania Prerna , Paul Sunjol Singh , Kumar Kakelli Anil
Published: September 2021

Several patients face Cerebral Palsy. Such debilitating diseases impede motor control and make it difficult for them to operate traditional electric wheelchairs. Existing models of smart wheelchairs accommodate these issues to a certain extent but fail to deliver a solution for patients to use the wheelchairs completely autonomously. This paper proposes a novel model for a cost-effective smart wheelchair that takes simple gestures as input for movement, along with several quality-of-life and assistive modules such as vitals monitoring and voice memo support for patients suffering from memory loss, along with obstacle detection to ensure complete safety of the patient regardless of the terrain. The paper discusses the various modules present in the wheelchair, elaborates upon the algorithm used for input detection and calculation, and finally, the implementation of each module. Lastly, the paper enlists comparisons between existing smart wheelchair models and the proposed model and lists out its strengths, weaknesses and states its findings from the proposed system's results.
Accident Detection and Safety System - (AUTO AID APP)
Authors: Ahmed Suhaib , N Srinidhi , Kyamma Sandhya , Imran Mohammed
Published: September 2021

Nowadays we are able to track vehicles using many applications which help in securing personal vehicles, public vehicles, feet units and others. Furthermore there is a rapid increase in the occurrence of the Road accident. This project is about a system which is developed to automatically detect an accident and alert the nearest hospitals and medical services about it. This system can also locate the place of the accident so that the medical services can be directed immediately towards it. The goal of this paper is to build up a Vehicle accidental monitoring system using MEMS, GPS and GSM Technology. The system comprises of accelerometer, MCU, GPS & GSM Module support in sending message. The accelerometer is used to detect fall and Threshold Algorithm are used to detect accident. Short Message will contain GPS [Latitude, Longitude] which helps in locating the vehicles.
Detection of Significant Risk Factors of Heart Diseases by Educing Multimodal Features and Implementing Machine Learning Techniques
Authors: Oguine Kanyifeechukwu Jane , Oguine Ozioma Collins , Ofodum Chito Frances
Published: September 2021

One of the major reasons for deaths worldwide is heart diseases and possible detection at an earlier stage will prevent these attacks. Medical practitioners generate data with a wealth of concealed information present, and it’s not used effectively for predictions. For this reason, the research will convert the unused data into a dataset for shaping using different data mining techniques. People die having encountered symptoms that were not taken into considerations. The main objective of this paper is to analyze the most significant risk factors of Heart Diseases of patients by extracting multimodal features and predicting the occurrence of heart diseases using different classification techniques comparatively. This study will help improve the decision-making of medical professionals on the occurrence of heart diseases patients in a bid to enhance early detection by implementing comparatively several machine learning techniques resulting in an improved prediction accuracy using patient records (Multimodal Features).
Indoor Navigation Using Augmented Reality
Authors: Tadepalli Satya Kiranmai , Ega Preethivardhan Anusri , Inugurthi Pavan Kalyan
Published: September 2021

This system advice directions to the destination in the user’s camera screen. QR codes shall be installed at all possible destinations in the building assuming any destination can be the starting point of the user. Users must scan a QR code to select a destination. Google AR Core takes live feed from the user's camera and does simultaneous localization and mapping to update the user’s location. Shortest path to the chosen destination is found using A * algorithm and the directions to the destination are shown in the user's camera screen using Augmented Reality. The application is developed in Unity from scratch using some essential plugins like Google ARCore. We aim at developing the front end in the simplest way possible so that the users can easily reach their destination by just opening the camera where the directions are shown as animations in their surroundings.
Face and Hand Gesture Recognition System for Controlling VLC Media Player
Authors: Bilvika K M , K Sneha B , M Sahana K , Patil Tejaswini S M
Published: September 2021

In human-computer interaction or sign language interpretation, recognizing hand gestures and face detection become predominant in computer vision research. The primary goal of this proposed system is to create a system, which can identify hand gestures and facial detection to convey information for controlling media player. For those who are deaf and dumb sign language is a common, efficient and alternative way for talking, by using the hand and facial gestures we can easily understand them. Here hand and face are directly use as the input to the device for effective communication purpose of gesture identification there is no need of an intermediate medium.
Voice Based E-Mail System
Authors: J Shreyas , D'souza Deepthi P , Chandrahas Poojary Shashank
Published: September 2021

In today's world, communication has become very easy due to integration of communication technologies with internet. However, the visually challenged people find it very difficult to utilize this technology because of the fact that using it requires visual perception. Even though much advancement has been implemented to help them use computers efficiently, no user who is visually challenged can use this technology as efficiently as a normal user since they require some practice for using the available technologies. This project aims at developing an email system that will help even a naïve, visually impaired person to use the services for communication without previous training. The system does not require the use of keyboard. Instead, it will work only on mouse operations and speech. This system can also be used by any normal person, for instance, by someone who is unable to read.
Stock Market Prediction Using Twitter Sentiment Analysis
Authors: Padmanayana  , Varsha  , Bhavya K
Published: September 2021

Stock market prediction is an important topic in ?nancial engineering especially since new techniques and approaches on this matter are gaining value constantly. In this project, we investigate the impact of sentiment expressed through Twitter tweets on stock price prediction. Twitter is the social media platform which provides a free platform for each individual to express their thoughts publicly. Specifically, we fetch the live twitter tweets of the particular company using the API. All the stop words, special characters are extracted from the dataset. The filtered data is used for sentiment analysis using Naïve bayes classifier. Thus, the tweets are classified into positive, negative and neutral tweets. To predict the stock price, the stock dataset is fetched from yahoo finance API. The stock data along with the tweets data are given as input to the machine learning model to obtain the result. XGBoost classifier is used as a model to predict the stock market price. The obtained prediction value is compared with the actual stock market value. The effectiveness of the proposed project on stock price prediction is demonstrated through experiments on several companies like Apple, Amazon, Microsoft using live twitter data and daily stock data. The goal of the project is to use historical stock data in conjunction with sentiment analysis of news headlines and Twitter posts, to predict the future price of a stock of interest. The headlines were obtained by scraping the website, FinViz, while tweets were taken using Tweepy. Both were analyzed using the Vader Sentiment Analyzer.
Accident Detection and Reporting System
Authors: P Kushal , K Sudarshan , Dsouza Akshay
Published: September 2021

A significant rise in the number of road accidents has been observed due to the increasing number of vehicles. Significant research has been conducted on accident for the rescue, particularly on the use of Information and also Communication Technologies for efficient and prompt rescue or saving operations. The majority of such works will provide us the sophisticated solutions that focus on reducing response times. However, such solutions can be very expensive and are not available in all forms of vehicles. Our approach aims to take advantage of the advanced specifications of smartphones to design and develop a low-cost solution for enhanced transportation systems that are deployable in legacy vehicles. In this topic, a customized Android application is developed to collect information regarding speed, attraction, pressure, sound, and location. Speed is one of the factor which is used to improve the identification of the accidents. It arises because of clear differences in environmental conditions or changes (e.g., noise, deceleration rate) that arise in low-speed collisions, versus higher-speed collisions). The information collected is again further processed to detect road incidents. Furthermore, a navigation system is also constructed to report the incident to the nearby hospital. Furthermore, a navigation system is constructed to send and report the accident location and patients details to the nearby hospital! The proposed approach is validated through simulations and comparison with a real data set of road accidents acquired from the Road Safety Open Repository and shows promising results in terms of accuracy.
Fruit Quality Detection and Gradation
Authors: Deshmukh Harshal S. , Mohod Dr. S. W. , Khalsa Dr. N. N.
Published: September 2021

Grading and classification of fruits is based on observations and through experiences. The system exerts image- processing techniques for classification and grading the quality of fruits. Two-dimensional fruit images are classified on shape and color-based analysis methods. However, different fruit images have different or same color and shape values. Hence, using color or shape analysis methods are still not that much effective enough to identify and distinguish fruits images. Therefore, computer vision and image processing techniques have been found increasingly useful in the food industry, especially for applications in quality detection. Research in this area indicates the feasibility of using computer vision systems to improve product quality, the use of computer vision for the inspection of food has increased during recent years. This proposed work presents food quality detection system. The system design considers some feature that includes fruit colors and size, which increases accuracy for detection of roots pixels. Histogram of oriented gradients is used for background removal, for color classification, support vector machine is used.
The Assessment of The Effect of Proximity of Septic Tanks on The Levels of Selected Heavy Metals in Borehole Water from Ongata Rongai, Kajiado County, Kenya
Authors: Ochiba N. K. , Abong'o D. A. , Onyatta J.O.
Published: September 2021

The study was carried out to evaluate the levels of heavy metals in groundwater samples from ten selected boreholes in Ongata Rongai town, Kajiado County. The selected heavy metals analyzed were: Zn, Pb, Hg, Mn, Cd and Cr in the dry and wet seasons. The effect of the proximity of septic tanks distance to borehole was also determined. The statistical analyses of the data using a 2-way ANOVA showed 95% confidence level (p<0.05) interdependence of the distance from the boreholes and contaminant levels. The study showed that heavy metals were below the maximum recommended level and the guideline values of World Health Organization and Kenya Bureau of Standards. The analyses of the selected heavy metals, by Flame Atomic Absorption Spectroscopy, revealed that the detected levels of Mn (0.03±0.01 - 0.26±0.01 mgl-1) were higher than those recommended by WHO and KEBS of 0.01 mgl-1, while Zn (0.11±0.02 - 0.73±0.01 mgl-1) are within acceptable levels of WHO (3.0 mgl-1) and KEBS (5.0 mgl-1). There was no strong correlation between the distance of borehole from septic tanks and heavy metal levels in water samples. The low detected values should not be overlooked as the heavy metals are capable of bio-accumulating in body tissues.
Development of Multi-tasking, Multi-powered Machine for Agriculture Purpose
Authors: Prabhakar Kadole Pavan , H K Bharath Raj , Naidu D Yogeshwar , Sai G Tharun , R Manjunath
Published: September 2021

At present famers pay a lot of money on machines that work with them decline work and increment yield of harvests. The Multipurpose machine is accustomed to planting the seeds and manure shower into land and seed planting for making heaps of plant creation in rural field. It is a mechanical gadget here no electrical or other force source is not needed. The expense of this machine is low and simple to work straightforward in development. As there is huge advancement in the field of designing the current situation makes us to discover answer for serious issues looked by the farming field. The agrarian business is behind elective reciprocal ventures in exploitation robots because of the sort of occupations worried in agribusiness are no and burrow. The fundamental target of this task is to improve the current method of cultivating by presenting multipurpose gear. The greater part of the Farmers in India is affordable frail because of which they cannot buy work vehicles and other expensive hardware's subsequently they utilize conventional strategy for cultivating. This will not fulfill need of energy necessity of the cultivating when contrasted with different nations on the planet. So, work has been completed to plan and manufacture a multipurpose agribusiness vehicle, to perform rural tasks like furrowing, seed planting and showering of pesticides or water utilizing the sun-oriented energy. Likewise in the place of human and animal endeavors can be supplanted by this component of machine which will be reasonable for limited scope rancher from efficient and exertion perspective. So, we are fostering this gear which will fulfill this need and to tackle work issues.