bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelatihan Berbasis Self-Awareness untuk Meningkatkan Kemampuan Pengambilan Keputusan Karir
Authors: Puteri Shafira Aulia , Rozana Anna 
Published: September 2022

Career decision-making is one of the developmental tasks of adolescents. However, the results of the needs analysis show that most of the 12th grade vocational high school students still do not know what to do about their future. Students still don't feel the need to make a career choice and don't feel the need to rush in planning for the future. This shows that students have not aware the importance of choosing a career so that their future can be successful. This community service activity is in the form of training that aims to foster self-awareness so that they are able to recognize themselves, starting from their emotions and feelings, as well as their abilities, strengths and weaknesses so that they are able to make decisions regarding their future. This community service activity was carried out to 12 12th grade vocational high school students at SMKN 1 Cihampelas. The training methods used are material delivery, video views, case studies, assignment sheets and small group discussions. The results of the service show that there are changes related to students' self-identity so that they can identify themselves accurately and have permanent decisions regarding their future careers and believe that their choices are in accordance with their abilities. Pengambilan keputusan terkait karir merupakan salah satu tugas perkembangan remaja. Namun, hasil analisis kebutuhan menunjukkan bahwa sebagian besar siswa SMK kelas 12 masih belum memiliki gambaran mengenai masa depannya. Siswa masih merasa belum perlu untuk menentukan pilihan karirnya dan merasa tidak perlu terburu-buru dalam merencakan masa depan. Hal ini menunjukkan bahwa siswa belum menyadari pentingnya memilih karir agar masa depannya bisa sukses. Kegiatan pengabdian kepada masyarakat ini berupa pelatihan yang bertujuan untuk menumbuhkan kesadaran dalam diri sehingga mereka mampu mengenali dirinya, mulai dari emosi dan perasaannya, juga kemampuan, kelebihan dan kekurangan dari diri mereka sehingga mereka mampu untuk mengambil keputusan terkait masa depannya. Kegiatan pengabdian kepada masyarakat ini dilakukan kepada 12 siswa SMK kelas 12 di SMKN 1 Cihampelas. Metode pelatihan yang digunakan yaitu penyampaian materi, penayangan video, studi kasus, pengerjaan lembar tugas dan diskusi kelompok kecil. Hasil pengabdian menunjukkan terdapat perubahan terkait pemahaman diri siswa sehingga ia mampu mengenali diri secara akurat dan memiliki keputusan yang tetap terkait karir masa depannya dan meyakini pilihannya tersebut sudah sesuai dengan kemampuan diri.
In situ measurement and management of soil, air, noise and water pollution in and around the Limestone mining area of Yerraguntla, YSR kadapa, Andhra Pradesh, India for the sustainable development
Authors: Sudhakar C. Venkata , Reddy G. Umamaheswara , Rani N. Usha 
Published: September 2022

For emerging countries, mining has been a vital factor in employment, economic development, infrastructure, and supply of essential raw materials for Nation’s Gross domestic product (GDP) growth. The Limestone mine industry is serving as a viable route for economic transformation in India. Limestone exploration causes major damage to the environment at Yerraguntla industrial zone, YSR Kadapa district, Andhra Pradesh, India. The main objective of this study is to evaluate the environmental Pollution parameter that causes Air, Water, Noise, and Soil pollution in and around limestone quarries started in the early 1984. The present study estimated Air Quality Index (AQI) as 76 based on the air quality sub-index approach using four pollutants (PM10, PM2.5, SO2, NOx) for a period of 24 hrs by taking one sample per hour during the post monsoon. Water Quality Index (WQI) obtained as 303.91 from fourteen physicochemical parameters (pH, EC, fluoride, Total alkalinity etc.) measured from water samples. Soil quality was determined using four physicochemical parameters (pH, EC, WHC, Calcium and Magnesium) from the soil samples collected from ten sampling stations. The obtained pH range was (7.6 to 9.4), EC of the soil was determined as 4,140 µs/cm, the water retention capacity of the soil, ranges from (17.68 to 97.68) %, and the Calcium (Ca2+) and Magnesium (Mg2+) ranged from 74.5 to 272.75 mEq/L. Noise levels were determined as 76.64 dB in the mine’s, 58.16 dB in the cement industry, and 52.285 dB in the mine surrounding villages. This study can help mining sector management’s in developing a sustainable Environmental Management frame work to meet the world sustainable development goals (SDGs).
Antimetastatic potential of anthocyanins from Cordyline australis (G. Forst.) Endl. Red star variety on MCF onco cell lines
Authors: S. S. Usha , K. Murugan , Krishnan Remya 
Published: September 2022

Breast cancer is the second most deadly diagnosed lifestyle disease among women. Surgery and chemotherapy are the current treatments of choice; nevertheless, toxicity connected with this underscores the urgency of the demand for the human-friendly drug. 50% of current synthetic drugs available commercially today are either direct or indirect descendants extracted from herbs. Anthocyanins possess many pharmacological activities, including anticancer potential. However, no study on anticancer activity of anthocyanins from Cordyline australis has been reported. Anthocyanins were extracted from fresh leaves using ethanol as solvent. The total anthocyanin was quantified and fractionated by Ultra Performance Liquid Chromatography. Cytotoxicitic effect was carried on diverse cancer cell lines like MCF 7, HCT-116, Caco-2 and SW480 using MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide assay. Based on MTT data, MCF 7 cells were further analyzed by LDH assay, Glutathione-S- transferase (GST), Quercetin reductase, Cytochrome P450 and Caspase 3, 8 and 9 activities. The obtained results were analyzed using ANOVA with a level of significance. Results obtained from MTT assay revealed that the anthocyanin extract carried significant toxic (p < 0.05) specificity against MCF 7 cells (65 ± 2.1 toxicity at 50 µg/ml) when compared to the other onco cells. Remarkable LDH leakage (50.2% vs 50 µg/ml), GST (3.0±0.002 U/mg protein), QR (4.4±0.054 U/mg protein), Cyt P450 activities (0.291±0.01 U/mg protein) were noticed. Caspase 3 (157%), 8 (142%) and 9 (147%) displayed profound activities. These in vitro findings of specific anticancer effects noticed on C. australis anthocyanin extract require further evaluation using animal models. Finally, the obtained findings open up the possibility of developing a lead antimetastatic anthocyanin candidate against deadly breast cancer.
Estimation of avoidable yield losses in Indian mustard (Brassica juncea L.) due to mustard aphid, Lipaphis erysimi (Kaltenbach) in Rewari district, Haryana, India
Authors: Kumar Hemant , Singh Sumer , Yadav Amit 
Published: September 2022

The Indian mustard (Brassica juncea L.) is a significant oilseed crop in India. The sap-sucking pest, mustard aphid (Lipaphis erysimi) emerged as a major threat to this crop, which can harshly reduce yield. The research experiment was carried out during the Rabi seasons, 2019-20 and 2020-21 at Rewari, Haryana to comprehend the influence of L. erysimi infestation on different yield parameters of B. juncea in the field. The two cultivars of B. juncea namely, RH 725 and RB 50 were raised in a paired plot design with two different sets viz., protected and unprotected and thirteen replications each set were kept. The protected set was sprayed with insecticide Dimethoate 30 EC @ 625 ml ha-1 one time only, whereas unprotected set was kept free from insecticidal application for natural infestation of the pest. The present investigation revealed that under unprotected conditions, the yield parameters viz., weight of 100 siliquae, 100 siliquae husk, 10 main apical shoots (10 cm) and 1000 seeds, as well as seed yield, were significantly (P<0.01) affected by the L. erysimi infestation, while parameter, seed germination percentage influenced non-significantly (P>0.01). The maximum seed yield losses were registered in genotype RH 725 (26.25 %) when compared with RB 50 (25.92 %). All other yield parameters exhibited the same pattern except for three parameters i.e. weight of 100 siliquae, 100 siliquae husk and 10 main apical shoots (10 cm). In conclusion, this research highlights the colossal yield losses inflicted by L. erysimi infestation in B. juncea in unprotected conditions and the utility of insecticidal application in the enhancement of crop yield by management of this insect pest in protected conditions.
Survey and surveillance on rice false smut disease severity in Tamil Nadu and the influence of wind velocity on disease progression under field conditions
Authors: Anbazhagan P. , Theradimani M. , Ramamoorthy V. , Vellaikumar P. , hepziba S. Juliet , Oviya R. 
Published: September 2022

The false smut disease of rice incited by Ustilaginoidea virens is a major constraint on rice production. The main aim of the present study was to ascertain the false smut disease severity in both delta and non-delta districts of Tamil Nadu through survey and surveillance and assess the correlation between the disease severity and wind velocity for the past three years, 2019, 2020 and 2021. Moreover, the present study addressed the disease distribution pattern of false smut diseases under field conditions. The results obtained from survey results revealed that the maximum disease severity was recorded in Nagapattinam district (Nagapattinam block) with 27.45% and the minimum disease severity was recorded in the district Theni (Bodinayakanur block) with 8% in 2021. Similarly in 2019 and 2020 maximum disease severity was recorded in the following districts Thanjavur district (Orathanadu block) with 19.91% and Thanjavur district (Peravurani block) with 18.54% and the minimum disease severity was recorded in the following districts Madurai district (Madurai north block) with 4.78% and Madurai district (Usilampatti block) with 4.78% respectively. The obtained R2 values through regression analysis were 0.70, 0.79 and 0.76 in the following years, 2019, 2020 and 2021, respectively. Besides the relationship between the false smut disease development, the pattern wind direction was also assessed. By assessing the false smut disease distribution pattern under field conditions, more disease distribution was observed around the surrounding area of the paddy field as well as the diagonal path of the field which clearly revealed that wind direction influences the disease development.
Post-harvest soil nutrient prediction in hybrid castor (Ricinus communis l.) Cropping sequence using a multivariate analysis technique
Authors: Abishek R. , Santhi R. , Maragatham S. , Venkatachalam S. R. , Uma D. , Lakshmanan A. 
Published: September 2022

In the era of precision agriculture, the fertilizer prescription based on the soil fertility status is much required. Analyzing the soil after each crop is necessary for fertilizer recommendation and developing an alternative technique to forecast the soil available nutrient value rather than analyzing the soil. Multiple linear regression (MLR) equation was developed using filed experiment data to predict the soil available nutrient in castor cropping sequence. The post-harvest soil available nutrient was considered as the dependent variable and the initially available soil nutrient values, fertilizer added, yield and nutrient uptake of castor as an independent variable. In general, the post-harvest soil nutrient model's prediction accuracy was notable and had a coefficient of determination of less than 0.90. By calculating the RMSE (root means square error), R2 value, the ratio performance to deviation (RPD) and, RE (relative error) the performance of the MLR model was confirmed.Using the validated model, post-harvest soil available nutrients were predicted and compared with laboratory tested soil available nutreints. It turned out that the established model is more precisely effective and equally precise. Fertilizer recommendation could be made to subsequent crop after hybrid castor using the predicted soil available nutrients.
Socio-economic determinants of altruistic behavior
Authors: Mikitchuk Marina 
Published: September 2022

The problem of identifying the factors of individual altruism in the socio-cultural context and at the intercountry level is posed and solved for the first time. Econometric analysis of panel data on 34 countries for 2010–2019 confirmed the results, obtained in local screenings for particular regions and population groups. Namely, such factors as social welfare, happiness and civic engagement showed statistical significance in the regression analysis of the sample under study. Furthermore, there are reasons to assume that some relations may be parabolic in nature and, thus, indicate the nonlinear development of the altruism phenomenon. In addition, the previously overlooked socio-economic determinants stipulated by the philosophy of collaboration were tested on empirical level. Through the inclusion of new variables, it was possible to identify the special role of the culture of tolerance in the generation of altruistic behavior. Also, econometric calculations revealed that the nature of some factors’ impact depends on the level of economic development of a certain country. According to the results, primary positive determinants of altruism for developed countries are happiness and political activity, while for developing countries — social well-being. Hierarchical cluster analysis made it possible to identify and further study a subgroup of developed countries with a higher culture of tolerance. The findings showed the importance of determining the phenomenon of happiness, complexity of which presets the principle differentiation of altruism factors for different groups of countries. The results of this work can be used for further study of collaborative mechanisms, in particular, the study of motivation and effectiveness of international development assistance.
Global universities’ COVID-19 scientific knowledge production: Collaborative sense-making during a crisis
Authors: Ghosh Sowmya , DeMartino Linsay 
Published: September 2022

As the world grapples with the ongoing COVID-19 pandemic, the role universities play in advancing COVID knowledge and long term management of this global crisis is largely unknown. In this study, we document from a comparative perspective the ways in which members from universities in the US, New Zealand, Italy, South Korea and China engage in activities to respond to the pandemic. We apply the sense-making knowledge management model (Choo, 1998) and boundary spanning theory (Tushman, & Scanlan, 1981; Birkinshaw, Ambos & Bouquet, 2017) to identify strategies that university members employ by engaging with members from their university, local government and regional universities to generate scientific knowledge that enhances our global understanding of the evolving pandemic. In analyzing COVID related content via university websites, our findings reveal that response to the pandemic varies by university stratification, specifically by size and research capacity. We identified three distinct lenses by which university members position their leadership and research on COVID. We find universities from China, regardless of status-based characteristics, currently utilize a post-pandemic approach. Whereas universities in the US, Italy, New Zealand and South Korea approach their COVID research activities using an evolving-pandemic anticipatory lens and focus on scientific knowledge creating on current and future-pandemics by engaging in a range of collaborative activities with members of regional universities. Further, we find the role of boundary-spanners (Author & Author, 2018) particularly prominent in enhancing efforts to develop inter-university generated knowledge on COVID-19. Findings also provide policy implications for university-led response to global health challenges.
Applying Agile Methodology in Mobile Software Engineering: Android Application Development and its Challenges
Authors: Kaleel Shakira Banu , Harishankar Ssowjanya 
Published: September 2022

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<p>Highly volatile requirements of mobile applications require adaptive software development methods. Several attempts to address challenges in mobile software engineering have found agile methodology to be appropriate for mobile application development. This project report provides a detailed analysis on various challenges involved in mobile software development which are addressed using Agile-SCRUM methodologies. An efficient mobile software development concept derived from Agile-Scrum methodology is designed in this project. A light-weight Android application for secure and incremental backup has been developed using the proposed methodology. An in-depth illustration of the practical experience in developing the application has been discussed. Unlike other prominent languages like Java, the use of Python for Android platform has emerged recently. Hence developing the secure-backup application in Python was a challenge, which has been dealt in this report. We believe our proposed methodology has a potential to help developers deliver improved quality of mobile applications in short time. Keywords: agile, scrum, mobile software engineering, mobile application, android, python, sl4a</p>
Pemodelan Spasial Kasus Kematian Akibat Covid-19 di Provinsi Jawa Timur Tahun 2020
Authors: Maryani Herti , Kristiana Lusi , Guminta Dinda Galuh 
Published: September 2022

AbstrakProvinsi Jawa Timur merupakan provinsi yang mempunyai jumlah kasus kematian yang tinggi dibanding dengan provinsi lain di Indonesia. Tujuan penelitian adalah melakukan pemodelan kematian akibat Covid-19 di Provinsi Jawa Timur pada tahun 2020, menggunakan analisis Geographically Weighted Regression (GWR). Analisis GWR merupakan pengembangan dari regresi linier dengan parameter model yang berbeda di setiap pengamatan (wilayah).Â Data yang dianalisis adalah data sekunder dari Dinas Kesehatan Provinsi Jawa Timur dan Badan Pusat Statistik (BPS) Provinsi Jawa Timur. Jumlah kematian akibat covid-19 di Jawa Timur mencapai 84.152 jiwa sampai dengan bulan Desember 2020. Hasil analisis menunjukkan bahwa faktor yang mempengaruhi kematian akibat Covid-19 di sebagian besar wilayah Provinsi Jawa Timur adalah jumlah dokter umum di Rumah Sakit dan jumlah pelayanan kesehatan penyakit Diabetes Melitus, sedangkan variable lainnya yang berpengaruh signifikan adalah pelayanan kesehatan penderita Hipertensi danÂ jumlah Rumah Sakit Umum. Analisis GWR menghasilkanÂ pemodelan jumlahÂ kematian akibat Covid-19 di Jawa TimurÂ dengan koefisien determinasi yang lebih tinggi dibanding pemodelan secara global. Pemodelan secara geografis menghasilkan 5 kelompok kabupaten/kota, dengan variabel jumlah dokter umum di Rumah Sakit dan pelayanan kesehatan Diabetes Melitus yang cukup berpengaruh di sebagian besar kabupaten/kota di Jawa Timur.Kata kunci: Covid-19, Jawa Timur, Geographically Weighted RegressionAbstractEast Java Province was a province that had a high number of deaths compared to other provinces in Indonesia. Using Geographically Weighted Regression (GWR) analysis, the study's goal was to predict the number of deaths caused by COVID-19 in the East Java Province in 2020. With various model parameters in each observation, GWR analysis was a progression of linear regression (region). Secondary data from the East Java Province's Statistics Agency and Health Agency were used in the analysis. As of December 2020, 84.152 individuals had perished in East Java as a result of COVID-19. The analysis's findings indicate that the number of public hospitals and the availability of healthcare for people with diabetes mellitus were the two health factors that had the greatest impact on Covid-19 deaths in the majority of East Java Province. Other factors that had a significant impact included the number of public hospitals and the availability of healthcare for people with hypertension.The analysis of the GWR model on the number of deaths due to Covid-19 in East Java resulted in a higher coefficient of determination than linear regression modeling. Geographical modeling resulted in 5 groups of districts/cities, with the variable number of general doctors in hospitals and diabetes mellitus health services being quite influential in most districts/cities in East Java.Keyword: Covid-19, East Java Provinces, Geographically Weighted Regression
Analisis Korelasi Indeks Massa Tubuh dan Kadar HB pada Ibu Bersalin Pre Eklampsia terhadap Asfiksia Neonatorum
Authors: Qomari Selvia Nurul , Umiyah Astik , Nikmah Nurun 
Published: September 2022

AbstrakAsfiksia masih menjadi salah satu penyebab kematian neonatal tertinggi di Indonesia. Diantara berbagai faktor penyebab, pre-eklampsia pada ibu hamil maupun bersalin diduga menjadi salah satu penyebab asfiksia neonatorum. Kajian faktor risiko dan karakteristik ibu pre-eklampsia terus diteliti untuk mengetahui akibatnya terhadap luaran perinatal. Tujuan penelitian ini adalah untuk menganalisis korelasi antara faktor Indeks massa tubuh (IMT) dan kadar Hb pada ibu bersalin dengan pre-eklampsia terhadap asfiksia neonatorum. Penelitian ini menggunakan desain analitik retrospektif. Populasi yaitu ibu bersalin dengan pre-eklampsia dan bayinya di RS Bunda Surabaya. Pengambilan sampel dilakukan dengan total sampel dan didapatkan sebanyak 30 responden pada bulan April-Mei 2022. Data dianalisis dengan menggunakan uji korelasi Spearman. Hasil penelitian ini menunjukkan bahwa IMT dan kadar Hb memiliki nilai p-value masing-masing p=0,326 dan p=0,006. Artinya faktor kadar Hb pada ibu bersalin dengan pre-eklampsia menunjukkan korelasi yang signifikan terhadap kejadian asfiksia neonatorum, sedangkan faktor IMT tidak menunjukkan adanya korelasi.Kata kunci:Â Â Â Â Â IMT, Hb, pre-eklamsia, asfiksiaAbstractAsphyxia is still one of the highest neonatal causes of death in Indonesia. Among the various causative factors, pre-eclampsia in pregnant and maternity women is suspected to be one of the causes of neonatal asphyxia. The study of risk factors and characteristics of pre-eclampsia mothers continues to be studied to determine their consequences on perinatal outcome. The aim of this study was to analyze the correlation between body mass index (BMI) factors and Hb levels in maternity mothers with pre-eclampsia to neonatal asphyxia. This research used analytical design with a retrospective approach. The population was maternity mothers with pre-eclampsia and their babies at Bunda Hospital Surabaya. Sampling was carried out with a total sample and obtained as many as 30 respondents in April-May 2022. The data were analyzed using the Spearman correlation test. The results of this study showed that BMI and Hb levels had p-values of p= 0.326 and p = 0.006, respectively. This means that the Hb level factor in maternity mothers with pre-eclampsia shows a significant correlation to the incidence of neonatal asphyxia, while the BMI factor does not show any correlation.Keywords:Â Â Â Â Â Â BMI, Hb, pre-eclampsia, asphyxia