bluuebunny/crossref_metadata_2025 huggingface dataset:
Melatonin Ameliorates 2,4-Dichlorophenoxyacetic Acid Induced Testicular Steroidogenesis Upset in Mice: An In Vivo and In Silico Study
Authors: Upadhyaya Ashlesh M. , Hathi Zankruti S. , Dalai Sarat K. , Jhala Devendrasinh D.
Published: September 2022

2,4-Dichlorophenoxyacetic acid (2,4-D) is used as a selective herbicide and associated with a variety of toxicities in mammals. In contrast, melatonin is an antioxidant that promotes the elimination of free radicals. In the present study, the protective effects of melatonin (10 mg/kg body weight) against 2,4- D (low, mid, and high dose-16.5, 33.0, and 66.0 mg/kg body weight) induced testicular steroidogenesis alteration were examined using in vivo and in silico models. Doses of 2,4-D and melatonin were administered orally for 28 days. The evaluated parameters were body weight, total protein, markers for male reproductive function, and steroidogenesis i.e. testis weight, total lipid, cholesterol, testosterone, 3 beta-hydroxysteroid dehydrogenase, 17 betahydroxysteroid dehydrogenase, total sperm count, sperm motility, and sperm viability along with the histopathology of the testis. The statistical significant value was considered at p<0.05. Molecular docking study was performed for interaction of 2,4-D and melatonin with steroid binding proteins. In vivo results revealed that 2,4-D treatment showed a significant dose-dependent alteration in above all studied parameters. No significant auto-recovery was observed in the withdrawal study, on the contrarily, the altered parameters were normalized and comparable to control when melatonin was given alone and in combination with 2,4-D. In silico results also demonstrated that the binding affinity of melatonin with steroid binding proteins is higher than 2,4-D. Collectively, these in vivo and in silico findings indicated that 2,4-D induced testicular toxicity accompanied by steroidogenesis upset and can be reduced by melatonin significantly by interacting directly and strongly with studied molecular markers.
Glycoprofiling of Oligosaccharides of Regular and Lactose-Free Milk by Mass Spectrometry
Authors: ŞAHAR Umut
Published: September 2022

Oligosaccharides from regular milk and lactose-free milk were analyzed by Electrospray Ionization interface coupled with Ion Trap Mass Spectrometry (IT-MS). The negative mode mass spectrometry of sugar compositions was obtained either by direct infusion and mass spectrometry with Liquid Chromatography (LC). Hexose (Hex) and the other oligomeric sugar components were observed in both regular and lactose-free milk. While lactose derivatives (deprotonated lactose dimer, chloride adducts, chloride dimer) in regular milk have seen to be dominated, monosaccharide derivatives (Hex-H2O, Hex, Hex-Cl) in the lactose-free milk were observed as abundant which was lytic product of lactose. Phosphate/sulfate ester substitution on lactose and sialyllactose in both regular and lactose-free milk samples were observed with similar intensity thus it has been understood that these important milk components are not digested during lactose removing process.
Production of AA2024-Matrix B4C-SiC- and B4C-Y2O3-Particle-Reinforced Composites by Powder Metallurgy and Investigation of Their Mechanical Properties
Authors: DOĞAN Halit , MUTLU Yılmaz
Published: September 2022

In this study, it was aimed to produce Al-matrix composite materials with B4C-SiC and B4C-Y2O3 particle reinforcement using the Powder Metallurgy (PM) method. In the composites in which the reinforcement materials were used at different particle sizes and ratios, AA2024 powders were selected as the matrix material. The powders were homogeneously mixed and compacted at room temperature under a pressure of 525 MPa. The raw specimens were sintered by keeping them at different temperatures for 45 minutes. The composite materials were subjected to wear tests, and their hardness and density values were investigated. In the study, the effects of reinforcement materials added to the matrix at different particle sizes and ratios on wear resistance, hardness, and density at different temperatures were examined.
Abu Reyhan Biruni (973-1048 CE): The Pioneer in Clarifying the Role of Pharmacy in Medical Practice
Authors: Roohnavaz Mahya , Tekiner Halil , Shams Ardakani Mohammad Reza , Zargaran Arman
Published: September 2022

Abu Reyhan Biruni (973-1048 CE) was a Persian polymath in medieval era. He had more than 100 books and treatises on different subjects like astronomy, culture, history, mathematics and pharmacy. In medical sciences, he was one of the first persons who introduced pharmacy as a separated field from medicine. He was pioneer to define pharmacy and pharmacist similar to current definitions. It was one of the earliest definitions of pharmacy. Biruni can be introduced as a pharmacist, nor physician. He also had a book on pharmacy, Al-Saydana fi al-Tibb (Pharmacy in Medicine). This book is one of the most important works on pharmacy in medieval era. He clarifies the role of pharmacists to serve pharmaceutical services to the patients. It shows the importance of pharmacy as an independent field of medical sciences in Persia and Islamic civilization about a thousand years ago.
Conclusion
Authors: Banerjee Pallavi
Published: September 2022

The conclusion offers evidence of the participants’ struggles as they resist their dependent visa status. Through what the author calls “acts of disruption,” these individuals push back against the power of the visa regime. The chapter highlights the periodic collective efforts by some women on dependent visas to end their invisibility and bring their situation to the public eye. It documents how the dependent visa holders, and their families actively resist dependence and challenge the intent and purpose of laws purported to ensure “stable families” for migrant workers. These examples of active resistance highlight the failures of the dependent visa policy. The chapter also chronicles the anxieties of the Trump era while offering specific policy recommendations to dismantle the dependence created by visa regimes especially to future-proof times that could resemble the terrifying Trump regime.
Quo vadis, slovenska šola?
Authors: Lazar Jolanda
Published: September 2022

Splošno sprejeto prepričanje je, da je s slovenskim šolstvom nekaj zelo narobe. V postmodernističnem času ni ničesar stalnega in politika izobraževanja se je omejila le na uvajanje sprememb brez ustrezne spremljajoče evalvacije, kaj šele refleksije, kar je predpogoj za trajnostno spremembo. Tako uvajamo nove, drugje preverjene pristope in metode – vseživljenjsko učenje, personalizirana vzgoja in izobraževanje, učenje učenja, razvijanje bralno učnih strategij – in s tem sodobni šoli odvzemamo izobraževalno vlogo in jo peljemo v svet terapije, vedenjskega nadzora in socialnega inženiringa. Pri tem pa je prezrto dejstvo, da s tem le prikrivamo degradirano avtoriteto odraslih. Furedi govori o »socializaciji v obratni smeri«. Kako priti iz te zavožene situacije?
Pengembangan Sistem Informasi Desa Terpadu Menggunakan Metode Rapid Application Development (RAD) Studi Kasus Desa Arjasa
Authors: Pradana Maulana Kevin , Andrianto Anang , Auliya Yudha Alif
Published: September 2022

Information systems are now an important part of a government agency. One of the government agencies that have used the information system is Arjasa Village. Arjasa Village has implemented a village service information system website that contains news, history, galleries, and certificate services. The village admin or operator in managing the village information system has several problems. The certificate service feature here is still less flexible in adding or making a certificate because it cannot move paragraphs, sentences, entries in the event of an error in position, and cannot change the certificate that has been printed by residents if there is an error in data entry. The historical feature is requested to be replaced with the village government information feature because it can be filled with village history, vision and mission, village profiles, institutions, and others related to village government. Then the village government wants the transparency feature of village funds or APBDes and features of population management. Therefore, the development of the Arjasa village information system is very necessary. In developing this system, the researcher uses the Rapid Application Development (RAD) method, because RAD is a method used in system development to overcome a condition where the development process uses a short and fast development cycle because the process is divided into several components. that can be reused, so that the developed system can find out the results without waiting a long time. RAD is also very suitable for small scale system development as in this case.
Evaluation Of User Experience And Recommendation Of Improvements To The Jember DISPENDUKCAPIL Service Information System With UEQ Method
Authors: Gucci Selly Mandalica , Adnan Fahrobby
Published: September 2022

SIP Dispendukcapil Jember is a mobile application released in 2019 by the Jember Regency Government to make it easier for the public to manage and register civil. This study uses the UEQ method which has 6 parameters with 26 items, the UEQ parameters include Attractive, Perspicuity, Efficiency, Dependability, Stimulation, and Noveltyn with the result being a recommendation for feature improvements to be improved again. This research started from data collection, literature study, respondent determination, instrument preparation, data collection strategy development, UEQ questionnaire distribution, evaluation data analysis using the UEQ method, compiling recommendations for improvement and the result is an Attractive value of 1.26 which is above the average criteria, Perspicuity 1.35 above the average criteria, Efficiency 0.97 below the average criteria, Dependability 0.89 included in the criteria. below the average criteria, 1.11 Stimulation is included in the below average criteria. the above average criteria, Novelty 1.19 is a good criterion.
Algoritma Dijkstra dan Bellman-Ford dalam Sistem Pemetaan Barbershop di Kota Lhokseumawe
Authors: Dinata Rozzi Kesuma , Bustami Bustami , Razi Ar , Arasyi Muhammad
Published: September 2022

A Barbershop service provider is a company that provides hair care to the community. Many people are currently doing business in this field, and many business actors are opening Barbershops in a variety of locations, ranging from campuses to office districts to densely populated towns. In Lhokseumawe City, there are 12 Barbershops. The application's benefit is that it can identify the shortest path from the user's location to the selected Barbershop, as well as the Barbershop's location and a brief description of the Barbershops in Lhokseumawe City. Only the system's defined nodes can be used to find the fastest route to the Barbershop. Dijkstra's method was chosen because it works against all current alternative functions and provides the shortest path from all nodes, ensuring that the shortest path is produced optimally. Because the Bellman-Ford algorithm is a variant of the BFS (best-first-search) algorithm, which is also employed in the search for the closest distance when the search for the closest distance has a negative weight, it was chosen. The same results were obtained in picking the route based on the results of the route selection test. However, when the two techniques are compared in terms of program execution time, Dijkstra's algorithm is faster than the Bellman-Ford algorithm.
Analisis Sentimen Opini Publik Terhadap Pekan Olahraga Nasional Pada Instagram Menggunakan Metode Naïve Bayes Classififer
Authors: Pandunata Priza , Ananta Caesarina Kurnia , Nurdiansyah Yanuar
Published: September 2022

National Sports Week (Pekan Olahraga Nasional) held in October 2021 in Papua has brought many pros and cons from the public. This topic allows public for give criticism, suggestions, and opinions about the National Sport Week 2021. Instagram in one of social media that popular place for deliver public opinion. The process of sentiment analysis can find and solve problems based on public opinion on social media such as Instagram. The classification method used in this research is Naïve Bayes Classifier. The dataset can be obtained from data crawling process using the google chrome extension: IGCommentExport. The data the labelled as positive, neutral, or negative. The labelling process result showed 965 negative data, 256 neutral data, and 770 positive data. Then pre-processing is carried out on the data that has been labeled before, also word weighting process using TF-IDF. After that modelling is carried out using Naïve Bayes Classifier and the last process is evaluation-testing. The high accuracy of the result from fourth experiment which compare 90% data training with 10% data testing produce 75% accuracy. While the result of sentiment test show that negative sentiment more than positive sentiment and neutral sentiment.
A Importância da Divulgação e Clarificação do Uso Comunitário das Novas Armas Terapêuticas contra a COVID-19
Authors: Sarmento de Beires Teresa , Sequeira Eiras Andreia
Published: September 2022

N/a.
Fechamentos e aberturas da memória e da identidade nacional a partir de o Brasil, de Jaime Lauriano
Authors: Albertoni Fernanda
Published: September 2022

Neste artigo analisamos como o vídeo O Brasil (2014), de Jaime Lauriano, usa material de arquivo de propagandas produzidas pela ditadura militar no país entre 1969 e 1976 de forma a investigar a construção de um discurso sobre a identidade nacional que sugere uma compulsória união e uma multietnicidade uníssona. Examinando como questões que emergem de O Brasil se relacionam a uma amnésia estrutural do país, evidencia-se a dialética entre lembrança e esquecimento em jogo na construção de uma narrativa nacional – narrativa esta que perpassa e molda diferentes momentos do passado e projeções futuras. A investigação aponta como tal intervenção artística tensiona arquivos e abre memórias em suas multidirecionalidades interrompidas.
Artificial intelligence for decision support in surgical oncology - a systematic review
Authors: Wagner Martin , Schulze André , Haselbeck-Köbler Michael , Probst Pascal , Brandenburg Johanna M. , Kalkum Eva , Majlesara Ali , Ramouz Ali , Klotz Rosa , Nickel Felix , März Keno , Bodenstedt Sebastian , Dugas Martin , Maier-Hein Lena , Mehrabi Arianeb , Speidel Stefanie , Büchler Markus W. , Müller-Stich Beat Peter
Published: September 2022

Aim: We systematically review current clinical applications of artificial intelligence (AI) that use machine learning (ML) methods for decision support in surgical oncology with an emphasis on clinical translation. Methods: MEDLINE, Web of Science, and CENTRAL were searched on 19 January 2021 for a combination of AI and ML-related terms, decision support, and surgical procedures for abdominal malignancies. Data extraction included study characteristics, description of algorithms and their respective purpose, and description of key steps for scientific validation and clinical translation. Results: Out of 8302 articles, 107 studies were included for full-text analysis. Most of the studies were conducted in a retrospective setting (n = 105, 98%), with 45 studies (42%) using data from multiple centers. The most common tumor entities were colorectal cancer (n = 35, 33%), liver cancer (n = 21, 20%), and gastric cancer (n = 17, 16%). The most common prediction task was survival (n = 36, 34%), with artificial neural networks being the most common class of ML algorithms (n = 52, 49%). Key reporting and validation steps included, among others, a complete listing of patient features (n = 95, 89%), training of multiple algorithms (n = 73, 68%), external validation (n = 13, 12%), prospective validation (n = 2, 2%), robustness in terms of cross-validation or resampling (n = 89, 83%), treatment recommendations by ML algorithms (n = 9, 8%), and development of an interface (n = 12, 11%). Conclusion: ML for decision support in surgical oncology is receiving increasing attention with promising results, but robust and prospective clinical validation is mostly lacking. Furthermore, the integration of ML into AI applications is necessary to foster clinical translation.
Empirical Network Structure of Malicious Programs
Authors: Musgrave John , Campan Alina , Messay-Kebede Temesguen , Kapp David , Ralescu Anca
Published: September 2022

A modern binary executable is a composition of various networks. Control flow graphs are commonly used to represent an executable program in labeled datasets used for classification tasks. Control flow and term representations are widely adopted, but provide only a partial view of program semantics. This study is an empirical analysis of the networks composing malicious binaries in order to provide a complete representation of the structural properties of a program. This is accomplished by the measurement of structural properties of program networks in a malicious binary executable dataset. We demonstrate the presence of Scale-Free properties of network structure for program data dependency and control flow graphs, and show that data dependency graphs also have Small-World structural properties. We show that program data dependency graphs have a degree correlation that is structurally disassortative, and that control flow graphs have a neutral degree assortativity, indicating the use of random graphs to model the structural properties of program control flow graphs would show increased accuracy. By providing an increase in feature resolution within labeled datasets of executable programs we provide a quantitative basis to interpret the results of classifiers trained on CFG graph features. An increase in feature resolution allows for the structural properties of program classes to be analyzed for patterns as well as their component parts. By capturing a complete picture of program graphs we can enable theoretical solutions for the mapping a program's operational semantics to its structure.
Evaluation of Domestic and Foreign Research Status in the Field of Engine Vibration Detection by Bibliometrics
Authors: Xin Mai , Ye Zhifeng , Pan Xiong , Liu Xing , Zhang Tong , Liu Longlong , Ge Hailang
Published: September 2022

After long years of development, the technology of analyzing the working condition of power units based on vibration signals has had relatively stable applications, but the accuracy and the degree of automation and intelligence for fault diagnosis are still inadequate due to the limitations of the current development of key technologies. With the development of big data and artificial intelligence technology, the involvement of new technologies will be an important boost to the development of this field. To support the subsequent research, bibliometrics is used as a tool to sort out the development of the technology in this field at the macro level; at the micro level, the classical and key literature is studied to grasp the development status at the technical level and prepare for the selection of entry points to continue in-depth innovation afterwards.
(Un)sustainable Wildlife Conservation
Authors: Wright Robert E.
Published: September 2022

Wildlife conservation is an important component of environmental sustainability and can be improved by reviewing the performance of its three major models – common pool, top-down regulatory, and private resource -- under varying environmental and socioeconomic conditions. Generally, the private resource model is the most sustainable because it provides the best incentives to balance the needs of humans and wildlife, to maintain general wildlife habitat, and to adapt quickly to changing environmental and/or socioeconomic conditions. Top-down or “command and control” regulation, however, can be employed as a model of last resort if the private resource model shows signs of failing to protect specific species from local extirpation or extinction, which it is most likely to do for migratory species, species with close commercial substitutes, and species with no direct commercial value. Top-down regulators may also be needed to enforce property rights arrangements like catch shares and to monitor resources that remain in the common pool in the event that socioeconomic or environmental conditions change sufficiently to trigger the tragedy of the commons.
Factors Affecting Success and Failure in Higher Education Mathematics: Students and Teachers’ Perspectives
Authors: Saha Mili , Islam Shobha , Akhi Asma Akter , Saha Goutam
Published: September 2022

Background: Bangladeshi students from science, technology, engineering, and mathematics (STEM) often struggle with solving many mathematical problems in different pedagogic contexts. They mostly lack the considerable prior learning or strong basics required to cope with the teaching and learning materials used at the undergraduate levels, which leads many students to take readmissions every year. Objective: This research aims at investigating the factors affecting the success and deficit of university undergraduate mathematics students in Bangladesh. The mixed-method research incorporates quantitative and qualitative data analysis on the students' and teachers’ perspectives regarding the issues. The authors focus more on categorizing the reasons influencing effective mathematics pedagogies than on identifying new or unknown causes. Methodology: This study is outlined in three phases. The phases include i. Exploratory qualitative survey ii. Quantitative triangulation survey, iii. Explanatory semi-structured interviews. Findings: First, the qualitative survey exposes the important factors that highlight the student’s success and failure in mathematics. Next, the quantitative data confirm that there are some similarities and dissimilarities between students’ and teachers’ perceptions. Also, the coefficient correlation analysis shows male students lack consistency and passion for study resulting in poor performances. Conversely, female students emphasize the inability to connect mathematical theories to real-life usages, curriculum loads, and unavailable resources as the reasons for underperformance. Finally, the interview data demonstrate the students attribute their failure to inadequate practices, memorizing habits, poor teaching, low motivation, and external distractions. Also, students acknowledge the necessity of steady practice, clear understanding, regular study, and working strategies for successful mathematics education. Teachers emphasize students’ clear concepts, aptitude, motivation, and curiosity for successful learning. Conclusion: This conclusion proposes a fresh start with the local mathematics pedagogic practices by analyzing teacher-student feedback on the success and failure factors impacted by varied individual and contextual elements. The study offers inclusive feedback on the part of both stakeholders. However, an open discussion or interaction between students and teachers might be needed to enhance mutual trust and understanding between them.
A Novel Design For A COVID-19 Diagnosis System Using Machine Learning And Drone Technology (COVIDRONE-20)
Authors: Mehaboob Asweel KK , Natarajan Priya Darshini , Vayalil Munawar Peringadi , Marakkar Shamsudheen , Koyilot Mufeeda C , Shameer Khader , Yadav Kamlesh K
Published: September 2022

Tracking and early identification of suspected cases are essential to control and prevent potential COVID-19 outbreaks. One of the most popular techniques used to track this disease is the use of Infrared cameras to identify individuals with elevated body temperatures. However, they are limited by their inability to be implemented in open public settings such as public parks or even outdoor recreational centers. This limits their ability to effectively track possible COVID-19 patients as open public recreational places such as parks, concert venues and other public venues are hotspots for the spreading of the virus. Other technological solutions such as thermal scanners require an individual to perform the actual testing as they are not individual standalone technologies. This method of testing can potentially cause the transmission of the virus between the tester and the individual getting tested. As can be seen, an alternative solution is essential to solving this issue. In this study, we aim to present the system, design and potential scope of a non-invasive system that can diagnose and identify potential COVID-19 patients using thermal and optical images of the individual using drone technology. The proposed system (COVIDRONE) combines multi-modal machine intelligence, computer vision and real-time monitoring to enable scalable monitoring. The system will also involve the use of machine learning algorithms for better and more accurate diagnosis. We envisage that development of such technologies may help in developing technological solutions to combat infectious disease threats in the future pandemics.
Conceptualizing Micromobility
Authors: Behrendt Frauke , Heinen Eva , Brand Christian , Cairns Sally , Anable Jillian , Azzouz Labib
Published: September 2022

While micromobility has seen a significant rise of interest across policy, industry and academia, a detailed conceptualisation of it has so far been missing from the scientific literature. This paper develops a multi-dimensional conceptualisation of micromobility, in conjunction with a new socio-technical definition. To do so, it reviews related concepts; it analyses how the term micromobility has been used; and it critically engages with existing definitions most frequently cited in this literature. Building on these insights, we develop a multi-dimensional conceptualization of micromobility. Our definition of micromobility covers a wide range of mobility options that can typically be manoeuvred by one human without motor assistance, at least for short distances, and that are ‘micro’ in terms of energy demand, environmental impact, and use of road space, relative to automobility. According to our conceptualisation, micromobility modes comprise fully human powered, partially motor assisted and fully powered options. They typically do not exceed 25 kilometres per hour (or 45 for faster ones) and weigh (often significantly) less than 350 kilogram, while often providing some (public) health benefits. Trip lengths are typically less than 15 kilometres and daily distance travelled less than 80 kilometres. This new definition has relevance for future transport and mobility scholarship, as well as policy and evaluation. Advantages of a new and widely accepted definition and conceptualisation of micromobility could include more robust design standards, legislation, as well as evaluation metrics and methods, all leading to greater understanding of, and attention paid to, this form of mobility. This paper highlights the important role that micromobilities could play in moving beyond automobility, to create more sustainable and just mobility futures.
Studi Analisis Dampak Lalulintas terhadap Pembangunan Gedung Fakultas Teknik Universitas Negeri Padang
Authors: Wahab Wilton , Momon Momon , Rusli Andi Mulya
Published: September 2022

Universitas Negeri Padang (UNP) saat ini sedang melakukan pengembangan kawasan berupa pembangunan gedung Fakultas Teknik. Hal ini tentu akan mempengaruhi traffic di kawasan kajian, karena akses utama kampuis ini berada di ruas jalan nasional Prof. Dr. Hamka, Kelurahan Air Tawar, Kecamatan Padang Utara. Penelitian ini bertujuan untuk melihat dampak lalulintas akibat pengembangan kawasan tersebut dan memberikan rekomendasi teknis untuk diterapkan saat masa konstruksi. Metode analisis yang dilakukan meliputi analisis bangkitan perjalanan, analisis kinerja ruas jalan, dan analisis penanganan dampak lalulintas pada masa konstruksi dan pasca konstruksi. Hasil penelitian menunjukkan terjadi potensi penurunan kinerja ruas jalan pada masa konstruksi dibandingkan sebelum masa konstruksi dengan potensi konflik di dua pintu gerbang. Kinerja ruas jalan Prof. Hamka sebelum konstruksi sebesar 0,75-0,84, ruas jalan Belibis sebesar 0,16 dan ruas jalan Cenderawasih sebesar 0,42. Untuk kinerja ruas jalan Prof. Hamka masa konstruksi sebesar 0,77-0,85, ruas jalan Belibis sebesar 0,16 dan ruas jalan Cenderawasih sebesar 0,43. Sedangkan kinerja ruas jalan Prof. Hamka pasca konstruksi sebesar 0,80-0,90, ruas jalan Belibis sebesar 0,17 dan ruas jalan Cenderawasih sebesar 0,45. Potensi konflik lalulintas akan terjadi di pintu gerbang 1, pintu gerbang 2, U-Turn Utara, dan U-Turn Selatan, sedangkan pada ruas jalan Belibis dan Cendrawasih diperkirakan tidak terjadi potensi titik konflik. Berdasarkan hasil analisis direkomendasikan penanganan dampak lalulintas selama masa konstruksi, di antaranya dengan menyediakan fasilitas parkir pekerja dan kendaraan konstruksi, mengatur rute pengangkutan dan penumpukan bahan material, mengatur kelancaran sirkulasi arus lalulintas konstruksi, mengaturan jadwal pengangkutan material, mengatur tata cara pengangkutan material, membersihkan ban kendaraan pengangkut material dari kotoran yang melekat, mengatur tata cara pengangkutan alat berat, menutup lokasi konstruksi, menyediakan perlengkapan dan fasilitas keamanan, memasang rambu-rambu, marka dan fasilitas perlengkapan sementara, serta menyelenggarakan manajemen dan keselamatan lalulintas. Diharapkan hasil penelitian ini dapat menjadi pertimbangan bagi pihak yang berkepentingan.
The Influence of Ethical Leadership, Compensation, and Culture on Employee Performance
Authors: Sari Niki Puspita , Muhammad Helmi , Aliansyah Eko Satya
Published: September 2022

This study analyzes the effect of ethical leadership, compensation, and organizational culture on employee performance. This research is quantitative with a sample of 42 employees through the census method. The multiple linear regression analysis showed several results. First, ethical leadership has no significant effect on employee performance. Second, compensation has a significant impact on employee performance. Third, organizational culture has a significant negative impact on employee performance. Although the results contradict previous studies, ethical leadership, compensation, and organizational culture still have an essential role in achieving employee performance. The results provide positive implications for improving employee performance through applying for compensation and work culture. However, the implementation of work culture needs to be accompanied by other variables such as good corporate governance.
Quality of Life and Cultural Health: A Study among the Kurichiya Tribal Community of Wayanad District, Kerala State
Authors:   Research Scholar, Department of Studies in Anthropology, University of Mysore, Manasagangotri, Mysore 570006, Karnataka, India., P Shibu , MR Gangadhar ,   Professor, Department of Studies in Anthropology, University of Mysore, Manasagangotri, Mysore 570006, Karnataka, India.
Published: September 2022

The cultural change mainly affected the peoples lifestyle, economy, and consumerism. Due to the consequence of cultural change directly or indirectly influencing the traditional system of their socio-cultural and economic life and also influence the people’s health. The present study traces the quality of life and cultural health of Kurichiya tribal community in Wayand district Kerala. Kurichiya a matrilineal joint family group in habiting in Wayanad district of Kerala state. This population is traditionally agricultural community, and their life and culture tuned accordingly. As a tribal community pursuing certain traditional food culture and a strict customs related their livelihood. But today due to the influence of technological and economic change and for increasing the better quality of life they move to break some cultural practice especially food and economy. This context paper aims to document the way of life has undergone over a period of time and particularly the factors that determine the notion of quality of life and wellbeing.
Igba Nkwu Nwanyi Ceremony of Igbo People of Nigeria
Authors:   Faliko Pharmacy, Mayfair Shopping Complex, Awoyaya, Ibeju-Lekki Expressway, way, Ajah, Lagos, Lagos state, Nigeria., Patience Ezubem Chinyelu
Published: September 2022

Igboland, also known as Southeastern Nigeria and some parts of South Nigeria, is the homeland of the Igbo people. It is a cultural and common linguistic region in southern Nigeria. Geographically, it is divided by the lower Niger River into two unequal sections – an eastern and a western section. The states captured in this area includes: Anambra, Enugu, Imo, Abia, Ebonyi, and minor parts of Delta, Benue and Rivers states. The Igbo culture and traditions are filled with many colourful ceremonies that distinguish them from the other tribes in Nigeria. Igba Nkwu Nwanyi is one of the many colourful traditions of the Igbo people, and its intricacies vary from one area to another.
Duration of Oral Contraceptive Use, its Potency and the Risk of Ovarian Cancer
Authors:   Research Scholar, Department of Anthropology, Visva Bharati University, Santiniketan, West Bengal 731235, India., Dutta Priyanka , Ratan Ghosh Jyoti ,   Assistant Professor, Department of Anthropology, Visva Bharati University, Santiniketan, West Bengal 731235, India.
Published: September 2022

Ovarian cancer is the leading cause of cancer incidence and mortalityworldwide. Study shows that the use of oral contraceptive is inversely associated with the risk of ovarian cancer and is thought to be the most powerful known chemo-preventative agents. Oral contraceptive associated risk reduction was also observed among womenwith family history of ovarian cancer.Oral contraceptive reduces the risk in a duration-dependent fashion, as the beneficial effects oforal contraceptive remains for long times even after cessation of use. This long-term protection may have significant implications for individual risk assessment andfor public health, since the incidence of ovarian cancer rises withage.
Social Distancing or Physical Distancing: An Imposed Moral Dilemma in People of India
Authors:   Museums Incharage of Officer, Anthropological Survey, Ministry of Culture, Government of India, Southern Regional Center, Mysuru 570006, Karnataka, India,, Behera Banita , Ghosh Roy Abhishikta ,   Anthropological Survey of India, Ministry of Culture, Government of India, Central Regional Center, Nagpur 440006, Maharashtra, India,
Published: September 2022

The outbreak of pandemic COVID–19 in different countries including India is intensifying and leading to take urgent measures on priority to prevent the spread of the virus to the Humankind. The important steps have necessitated the immediate adoption of measures to ensure social distancing in order to prevent the transmission of the virus. Every individual of the world is expected to cooperate in the implementation of such measure steps designed to reduce the transmission of the virus. Scaling down the challenges that associated with the outbreak of COVID-19 the conventional operations within the precincts comes first which necessary to ensure compliance with social distancing guidelines issued from time to time by various health authorities and Government. Become an exception during this period Social distancing term faced with the unprecedented and extraordinary outbreak of moral dilemma in people. It is necessary that Social Scientists as guardian of the society at all levels respond to the call of the people on social or physical distancing and ensure that the measures adopted to control the spread of virus by issuing directions and taking recourse between both.
An Appraisal of Prevailing Issues in Rural Tribal Health Care System in India
Authors:   Research Scholar, Department of Tribal Studies, Art, Culture & Folk Literature, Indira Gandhi National Tribal University, Amarkantak 484886, Madhya Pradesh, India, Kishor Yadav Nand , Soni Amit ,   Assistant Professor, Department of Tribal Studies, Art, Culture & Folk Literature, Indira Gandhi National Tribal University, Amarkantak 484886, Madhya Pradesh, India
Published: September 2022

Better health is one of the most important aspect of the overall development and progress of any country. In the context of India, tribals are an integral part, which are 8.6 percent of the total population of the country. Scarce public health care services in India and related issues are currently the most discussed topic with recent outbreak of Covid-19 affecting human life terribly and still persisting. Health care issue affects every individual in the society. In tribal areas health care issues become even more important because as it seems that this section of society is still comparatively in unprivileged condition and not properly exploited the benefits of development process.India's development cannot be imagined without improvement of rural and tribal health. This article highlights major issues prevailing in the rural tribal health care system of India, which arises many barriers to tribal health and the holistic development of the country. Based on the blending results of several multi-factual studies, it is known that there exist many issues prevailingin the rural tribal health care delivery system. Many issues are there which are responsible for poor and complex tribal health status among the tribes, such as, low awareness about health, different religious and cultural beliefs, unrealistic health practices, living in difficult and inaccessible areas, financial problems, various infectious diseases, nutritional deficiencies, and poor public health care facilities, etc. These issues have attracted renewed attention from physicians, health policy experts, various health agencies as well as the general public, particularly tribal societies, which are most affected by these issues. Keywords: Health Status; Health Infrastructure; Rural Health Care Services; Tribal Culture And Practices; Health Policy; Public Involvement And Awareness.
Real-time Electrical Submersible Pump Smart Alarms Suite Enabled Through Data Analytics and Edge-based Virtual Flowmeter
Authors: Deng Lichi , Ambade Amey , Hernandez de la Bastida Miguel , Davalos Daniel , Carrera Zanafria Julia , Gupta Supriya
Published: September 2022

Continuous monitoring of electrical submersible pumps (ESPs) ensures optimal working operating conditions and avoids deferred oil production. With the increased population of ESPs deployed worldwide, a comprehensive alarm triggering system is at the center of modern oilfield production surveillance systems. In this paper, a data-driven ESP smart alarm suite, integrated with a virtual flowmeter (VFM) deployed on the Edge, is presented with testing results and field applications for effectiveness demonstration. The overall Smart Alarm Suite consists of eight different alarms, each targeting a specific potential suboptimal pump working condition. For three alarms, a data-driven approach is adopted with the application of multiple classical machine learning models such as logistics regression, K-Means clustering, continuous linear regression, etc. The workflow also uses hybrid pipelines when manual labeling is not sufficient for model training. For the other five alarms, the workflow uses an Edge-enabled physics-based flowrate calculation to flag the status of different alarm categories.

The presented workflow innovatively combines machine-learning algorithms with rule-based criteria and a robust VFM to raise awareness of the ESP performance conditions. The injection of domain expertise and physical modeling into AI-based workflows improves the robustness of the algorithm and reduces false alarms with limited data exposure. The completeness of the alarms promotes more comprehensive monitoring of the assets and reduces the risk of lost production due to ESP failure or downtime.
First Industrial Flowlines Descaling Field Deployment Utilizing High Power Laser Technology
Authors: Batarseh Sameeh , Al Mutairi Saad , Alqahtani Muhammad , Assiri Wiam , SanRoman Alerigi Damian , Marshal Scott
Published: September 2022

This paper presents the first field descaling deployment in the industry and a successful case study utilizing high power laser technology. The innovative technology was able to descale blocked flowlines without affecting the substrate integrity. The technology is safe, efficient, and cost-effective, providing a long-term solution, and extending the life span of the flowlines, casing, tubing, and others.

High power laser technology has been tested and proven to effectively penetrate and remove materials in all types of rocks regardless of the strength and composition. This includes accumulations and deposits of iron sulfide, calcium carbonate, asphaltene, and others. The success of over two decades of intensive research has led to the development of the first high power laser field system. The design of the system is enclosed, providing safe and environmentally friendly operation; it consists of a laser energy-generator, nitrogen tank, vacuum truck and the tool. The function of the tool is to control the size and the shape of the beam that focuses on the targeted materials. The descaling process is done by utilizing the power of a laser to melt, spall or vaporize the materials. All the debris and materials removed are captured in a vacuum truck providing a clean operation.

The technology was deployed in two flowline sections with different scale deposits. The first sample had an ankylosed scale covering the pipe's transversal area. The second sample combined scale with fresh hydrocarbons. The key parameters used for the deployment are volume of the scale removed, time, cost, and reusability of the pipe. The successful field deployment demonstrated that the technology could fully remove scale from the carbon steel flowlines without damaging the substrate. The removal rate reached as high as 18 inch per minute (IPM). The main factor affecting speed is the scale's thickness and vacuum efficiency. The analysis of the inner surface of the flowline showed the walls were clear of scale and maintained their original integrity. The descaled flowline could potentially be reused immediately after completing the process

High power laser descaling technology is an innovative alternative to current descaling methods, which rely on chemical or mechanical means to remove the scale. The precise control of the beam allows targeting the scale without affecting the flowline's integrity. The technology is cost-effective, environmentally friendly, extends the lifespan of flowlines, dispenses with replacements, decreases downtime, reduces manpower, and eliminates waste. It is a key contributor to attaining net-zero and sustainable operations.
Continuous Methane Measurement: Equivalency Evaluation of Regulator-Approved Alternative Leak Detection and Repair Program in Alberta, Canada
Authors: Benko Tim , MacGregor Alex , Wen Eric , Fox Thomas , Moorhouse Brendan
Published: September 2022

Diverse methods have emerged for methane Leak Detection and Repair (LDAR), alongside a growing interest in continuous measurement (CM). Novel LDAR programs must demonstrate equivalent (or better) emissions reductions compared to conventional handheld methods to be approved by regulators and trusted by industry. We apply and test a widely accepted equivalency framework and report on a regulatory approved alternative LDAR pilot program to evaluate the performance of CM relative to conventional LDAR. The framework, which has not been formally tested to date, relies on a combination of controlled release testing, simulation modeling, and field piloting. First, controlled release testing at known emission rates is used to establish probability of detection functions and other performance metrics for the CM device. Performance metrics are then used to build a CM module in LDAR-Sim, an open-access modeling framework. Finally, CM devices are deployed as part of a field pilot.

Controlled release testing results and dispersion modeling suggest that the CM devices can reliably detect (i.e., 90% detection probability or greater) a rate of 1 kg/h (~54 scfh) from distances of 75 to 100 meters with no false positive detections. A set of work practices were established using the LDAR-Sim framework. The CM program requires close-range follow-up for any detection event and is estimated by LDAR-Sim to reduce aggregate annual fugitive methane emissions by 91.8% relative to the baseline, doubling the reductions anticipated from a conventional regulatory program. For the pilot, 52 devices are deployed across 16 facilities with Enhance Energy. All devices are positioned within 100 m of monitored assets. Each time devices record a detection event, which is defined as a sustained anomaly three standard deviations above a moving average background concentration for 24 hours, 7 days or 60 days, the operator performs a close-range follow-up inspection. Preliminary results show that the CM devices can detect leaks and that follow-up protocols are effective at immediately finding leaks and avoiding false positives. Confirmed detections include fugitive emissions such as a tank thief hatch leak and vented emissions including high bleed pneumatics. Both types of emissions were confirmed as repaired or improved by CM. These results indicate that repairing leaks more expeditiously through faster detection can reduce emissions by up to 90%.
Salvage of Tilted Wellhead Platform During Drilling Operation; Removal and Relocation of the Wellhead Platform's Topside for Field Re-Development
Authors: Zainal Abidin Suzaini , Ngadiman Helmi , Shahudin Faizal
Published: September 2022

This paper describes the planning, offshore execution and technology involved in the intact salvage, removal, preservation and relocation of a Well Head Drilling Platform (WHP) which was tilted during drilling operation in the "X" field.

The field development consists of a WHP tied back to a Floating, Production, Storage & Offloading (FPSO), anchored at 700 m away from the WHP. The oil field is located 110 km from shore and at water depth of 57 m. The Project Management Team (PMT) had completed the installation of the WHP, unfortunately mishap was happened when the WHP experienced tilting during drilling operation. The platform tilted/leaned two (2) degrees towards the drilling rig.

The strategy adopted by the PMT was to rig down and move out the affected rig; immediately salvage the newly installed 1,300MT WHP's topside. The work was executed under the crisis management envelop with the aim to save the rig and platform from total loss i.e., to avoid the platform topples into the sea and subsequently hits the rig.

The salvage operation employed unique processes, procedures, and technology to safe hold the tilted platform by Anchor Handling Tugs (AHTs) and pipelay barge; rig down and move out the drilling rig, reinstatement of lifting lug/pad eyes which had previously removed after completion of topside installation and finally removal of topside from the tilted jacket. The topside then transported to the fabrication yard, where there the topside had been preserved on the transportation barge for a period of five (5) months while waiting for the new jacket to be fabricated and installed. The re-development of the affected offshore facilities from the incident involved installation of new jacket at hundred fifty (150) meters away from the tilted jacket location, re-installation of the topside to the new installed 4-legged jacket, re-routing the previous installed infield pipelines (8" Liquid, 16" Wet Gas and 12’ Export Gas pipeline from FPSO) and tied-in to the new platform. The planning, innovation and execution has resulted in a significant cost containment and managed to avoid major disaster; subsequently safeguard Company's reputation. The salvage of the topside and rejuvenation of the pipelines have managed to avoid the reconstruction of the topside module which potentially could lead to non-cost recovery of huge amount of additional cost (in USD millions) and managed to avoid any Loss of Primary Containment (LOPC) by taken all the necessary precautions.