bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the possibility of involving additional areas of irrigated estuaries in the territory of Maloderbetovsky district, Republic of Kalmykia
Authors:   Timirâzevskaâ selʹskohozâjstvennaâ akademiâ, ZHEZMER V. B. , ADYAEV S. B.
Published: November 2022

The issues of determining the possibility of involving additional areas of irrigated limans in the territory of Maloderbetovsky district, the Republic of Kalmykia are considered. It has been established that in the territory of this region there is no flooding of estuaries due to the natural flow of melt water. Here, only estuaries developed for irrigation are used, the water supply of which is carried out at the expense of the waters of the Volga River through the operation, in particular, of the main canal P1. Currently flooding half of the areas of estuaries. The irrigation and drainage system is not capable of supplying the amount of irrigation water necessary for the water supply of all areas of estuaries. This is due to the low water flow in the R-1 canal, as well as signifi cant water losses during transportation, amounting to about 35%. In order to eliminate the reasons for the low productivity of the HMS, it is necessary to carry out its reconstruction. Under the condition of a complete reconstruction of the system and an increase in the amount of water supplied to the P1 canal, water supply to all estuaries of the region in calendar terms convenient for irrigation becomes possible. The commissioning of additional areas of estuary irrigation will guarantee the production of 7820 tons of estuary hay and increase the provision of the district with roughage due to estuary irrigation from 30 to 50%.
STAND-TESTING OF AN EXPERIMENTAL SEED DRILL FOR SOWING LAWN GRASS
Authors:   Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, PLYAKA VALERIY I.
Published: November 2022

The rational movement of a seeding unit when sowing lawn grasses requires the seed drill to move both along straight-line and curvilinear trajectories, thus enabling it to sideslip possible obstacles, while maintaining uniform sowing. To ensure uniform sowing during a curved path, a different amount of seed material is required to enter the soil from the seed wheels, which travel distances of different radii. To check the indices of the non-uniformity of sowing between units and the general variability of sowing at rectilinear and curvilinear movement, the experimental seed drill SV-0.9 equipped with the seeding unit of a reel type was developed and manufactured. It is capable of uniform sowing both at rectilinear and curvilinear movement. The authors present some stand test methods for determining the rate of the non-uniformity of sowing between the units for the experimental seed drill with regard to its ability to provide uniform sowing both at rectilinear and curvilinear movement. Benchmark tests of the experimental seed drill were carried out on seeds with different physical and mechanical properties - white clover and grass mixture “Sportivnaya”. The sowing area was 30 m2. The results of benchmark tests confirmed a linear relationship between the number of the reel grooves and the amount of sowing. It was found that between the units of the seed drill, the index of the non-uniformity of sowing of white clover seeds ranged between 2.23 and 3.10% and of grass mixture - 3.97 and 4.79%, the standard value being 8%. The variability index of the total sowing of white clover seeds was 2.77%; while for grass mixture “Sportivnaya”, this index was 2.95%, the standard value being 9%. The study experimentally confirmed the effectiveness of the developed seed drill for the uniform sowing of lawn grasses.
ENVIRONMENTAL EFFECT OF THE REDUCTION AND USE OF MANURE-BEARING WASTEWATER FROM THE MILKING PARLOUR
Authors:   Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, MIRONOVA TATIANA Yu.
Published: November 2022

The abatement of greenhouse gas emissions from livestock production is an important task of today. One solution is to reduce the generated amount of organic waste and the number of operations required for its transportation and application as they contribute to lower fuel consumption. A mitigation measure of carbon dioxide emissions is to cut down the quantity of manure-bearing wastewater from milking parlors and use it most effectively. The study aimed to assess the environmental effect of this measure. The carbon dioxide emissions were assessed by comparing two technologies. Technology 1 included the use of milking parlor wastewater in a greenhouse and the field application of manure. Technology 2, the basic one, featured the field introduction of milking parlor wastewater mixed with manure. A mathematical optimization model was applied to calculate the carbon dioxide emissions per ton of milk. The optimization problem solving showed that these emissions from the farm with 600-650 milking cows may differ by 4.9% depending on the technology option. The normative data and theoretical research results were used to calculate the carbon dioxide emissions from the fertilizer application units for a farm with 640 milking cows and a specific wastewater output of 7 l/cow/day. The planned milk productivity was 25 kg/cow/day. The MZHT-23 fertilizer application machine aggregated by T-150K tractor was employed. This machine unit transported the liquid organic fertilizers over a distance of 7 km and had a capacity of 22.9 t/h. The study established that the technology with manure management in the greenhouse (Technology 1) will reduce carbon dioxide emissions from the units transporting organic fertilizers to the fields by 11.1%, as compared with the basic technology.
DESIGNING AN INTELLIGENT SYSTEM FOR MONITORING THE TECHNICAL CONDITION OF A MOBILE VEHICLE FLEET
Authors:   Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, SHCHUKINA VARVARA N.
Published: November 2022

At the moment, there is no comprehensive solution for the remote monitoring of the technical condition, location and other parameters of the machine fleet. One of the promising areas in repair and diagnostics is proactive diagnostics and improvement of diagnostics systems. To solve this problem, web-service is offered, which can help control location of machinery units, technical condition, and other parameters. The JavaScript programming language with asynchronous AJAX-requests is suitable for user-website interaction. For data storage, the authors proposed a cloud server accessed through the MySQL relational database management system. When transferred to the server, all data are converted into JSON format by means of the Apache server, which is the means of communication between the operator’s screen and the server. A cross-platform local XAMPP server is used to communicate all systems. The Slack messenger is used to send messages and establish fast communication between operators, mechaniс components, and drivers. To remotely monitor the technical condition of a combustion engine, the system has a diagnostic algorithm that allows monitoring the condition of mechanical systems taking into account the analysis of data received from the electronic control system. The electronic control system can be connected via a single OBD-2 connector to read out standard information about the technical condition of the vehicle. The applicability of the developed diagnostic algorithm has been confirmed on a pilot plant with an IVECOF4HE diesel engine with modern electronic means of control. The conducted economic analysis has proved the effectiveness of the implementation of a remote control system during vehicle operation at the enterprise. The next stage in the development of an intelligent diagnostic system is to improve the algorithm for diagnosing the technical condition and expanding control over the other vehicle parts.
Archaeological Evidence from the Kuragala Site, Sri Lanka
Authors: Eregama Saman Kumara
Published: November 2022

The Kuragala archaeological site is located in the Balangoda division of the Ratnapura district, southwestern Sri Lanka. This paper summarises archaeological investigations carried out in and around Kuragala indicating that human habitation in the region extended beyond 15,000 years into the past. Chronometric dating of the site and archaeological evidence show that Late Pleistocene and Early Holocene modern humans who followed a hunting and gathering subsistence pattern lived in this region. Archaeological finds and data from the Kuragala excavation include microlithic tools, bone tools, processed animal bones and beads, which indicate behavioural modernity among the inhabitants. This paper also discusses aspects of early historic occupation of the site based on the existence of human-modified drip-ledge caves and stone inscriptions.
(Sinhala Article)
Prototype of Body Temperature and Oxygen Saturation Monitoring System Using DS18B20 and MAX30100 Sensors based on IOT
Authors: Izhangghani  , Hikmah Irmayatul , Slamet Indriyanto
Published: November 2022

After people died from infections during the COVID-19 epidemic, this attracted a lot of attention. COVID-19 causes symptoms such as fever, headache, sore throat, shortness of breath, and others. Many deaths are asymptomatic, which makes the problem even bigger. Therefore, real-time system monitoring is needed. Monitoring will be carried out about measuring body temperature and oxygen saturation in patients. Monitoring body temperature is necessary because it can detect symptoms of COVID-19 in patients earlier. The concept of the Internet of Things (IoT) is to enable devices to send and receive data over an internet network. The monitoring system to be built uses NodeMCU ESP8266, DS18B20 sensor, and MAX30100 sensor. Data communication is used in the exchange of information using WiFi. Applications made using MIT App Inventor are used to view body temperature and oxygen saturation data. This system is expected to reduce the number of deaths due to COVID-19. DS18B20 sensor has a sensor accuracy of 99,73% and an average error of 0,27%. MAX30100 sensor has an accuracy rate of 99,18% and an average error of 0,82%. Delay test results show an average of 155,57 ms, and packet loss test results show an average of 0%. The result of a system that has been tested said that both sensors can read well.
Application of The Naïve Bayes Classifier Algorithm to Classify Community Complaints
Authors: Wabang Keszya , Oky Dwi Nurhayati  , Farikhin
Published: November 2022

Unsatisfactory public services encourage the public to submit complaints/ reports to public service providers to improve their services. However, each complaint/ report submitted varies. Therefore, the first step of the community complaint resolution process is to classify every incoming community complaint. The Ombudsman of The Republic of Indonesia annually receives a minimum of 10,000 complaints with an average of 300-500 reports per province per year, classifies complaints/ community reports to divide them into three classes, namely simple reports, medium reports, and heavy reports. The classification process is carried out using a weight assessment of each complaint/ report using 5 (five) attributes. It becomes a big job if done manually. This impacts the inefficiency of the performance time of complaint management officers. As an alternative solution, in this study, a machine learning method with the Naïve Bayes Classifier algorithm was applied to facilitate the process of automatically classifying complaints/ community reports to be more effective and efficient. The results showed that the classification of complaints/ community reports by applying the Naïve Bayes Classifier algorithm gives a high accuracy value of 92%. In addition, the average precision, recall, and f1-score values, respectively, are 91%, 93%, and 92%.
DAMPAK PERUBAHAN IKLIM TERHADAP KENAIKAN MUKA AIR LAUT DI WILAYAH PESISIR PANGANDARAN
Authors: Dasanto Bambang Dwi , Sulistiyanti Sulistiyanti , Anria Andria , Boer Rizaldi
Published: November 2022

Salah satu dampak paling signifikan dari perubahan iklim adalah kenaikan permukaan laut. Wilayah pesisir Pangandaran yang terletak di Selatan Jawa Samudra Hindia secara langsung memiliki risiko banjir lebih tinggi akibat kenaikan permukaan laut (SLR) dibandingkan dengan wilayah pesisir di Utara Jawa. Dampak langsung dari kenaikan muka laut, pada umumnya, diukur berdasarkan besarnya kerusakan fisik maupun kerugian ekonomi. Dalam kajian ini, kerusakan fisik dinotasikan sebagai persentase penyusutan atau perubahan penggunaan/tutupan lahan yang terpapar oleh banjir air laut. Kerugian ekonomi didekati dengan biaya kerusakan tiap jenis penggunaan lahan yang terpapar oleh banjir air laut. Satuan biaya (unit cost) tiap jenis penggunaan/tutupan lahan yang terusakkan dapat diperoleh dari hasil survei kuesioner, diskusi kelompok mendalam (focus group discussion, FGD), dan riset terdahulu. Hasil analisis SLR menunjukkan bahwa sementara penurunan tanah mencapai lebih dari 85 ha. Sementara itu, kerugian permanen akibat SLR pada 2025 dan 2050 hampir sama yaitu sekitar 40 ha, meskipun SLR meningkat lebih dari 0,24 meter menjadi 0,50 meter (skenario rendah) atau dari 0,30 meter hingga 0,64 meter (skenario tinggi). Ini bisa dimengerti karena elevasi Pantai Pangandaran cukup tinggi. Selain kerugian fisik, jenis kerugian lain yang disebabkan oleh SLR rusak atau hilang sebagian dari penggunaan lahan. Hasil analisis menunjukkan bahwa kerugian tertinggi terjadi di sektor permukiman dibandingkan dengan sektor pertanian, dan permukiman yang terkena dampak SLR lebih luas dengan meningkatnya periode proyeksi.
Efek Hand Hygiene terhadap Dermatitis Tangan
Authors: Yusuf Ricky Setiadi
Published: November 2022

Di masa pandemi COVID-19, penting bagi semua orang untuk menjaga kebersihan terutama kebersihan tangan. Perilaku hand hygiene merupakan salah satu cara yang paling efektif dalam pencegahan COVID-19. Secara garis besar, kebersihan tangan dapat dilakukan dengan dua cara yaitu dengan melakukan cuci tangan dengan air mengalir dan menggunakan hand sanitizer. Akhir-akhir ini, perilaku hand hygiene yang berlebihan dapat menimbulkan dermatitis tangan. Dengan tetap mengikuti anjuran badan kesehatan dunia  bahwa melakukan cuci tangan dengan air mengalir selama 40 hingga 60 detik dan dengan hand sanitizer selama 20 sampai 30 detik, pencegahan terhadap terjadinya dermatitis tangan juga penting untuk dilakukan. Penggunaan pelembab merupakan salah satu pencegahan yang  efektif saat ini untuk mencegah dermatitis tangan.
Changes in Major Crop Allocations and Shifts under Climate Change in Korea
Authors:   Korean Association of Agricultural and Food Policy, Cho Sung Ju , Kim Hwa-Nyeon
Published: November 2022

Weather and climate change have been affecting changes in land uses for crop cultivations in Korea. Due to climate change, the traditional concept of main producing areas has been weakened, and crops that were not cultivated in the past are being cultivated in unexpected regions. To estimate and analyze the change in land allocation with six crop groups, we used a fractional multinomial logit (FMNL) model. Because the dependent variable which is a share of land acreage is a number between zero and one, FMNL model leads to efficient estimators. Estimation results show that income per 10ha for each crop group increased the proportion of choosing the crop except for fruits and rice. As the average summer temperature rises, the ratio of land allocation for pulse crops and root & tuber crops increases, and as precipitation increases, the proportion of spring vegetable cultivation is expected to increase. We also examined the patterns of centroid shifts of crop groups and predicted the movement which is expressed in latitude and longitude under climate change scenarios. It was predicted that most crops would move northeast toward 2070. Therefore, it is necessary to adapt to climate change by expanding R&D and education in response to changes in crops allocation for each local government.
PERANCANGAN SISTEM LOGIN MENGGUNAKAN PERANGKAT NODE MCU DAN RFID
Authors: Hartono Rudi
Published: November 2022

Abstract At one of xyz educational institutions in Tasikmalaya, there is a system, it can be used by users and it can freely access the system as long as they know the address of the site. The problem is with free access of user to the system, then there is a possibility for users who do not have access rights to the system will try to log in and to break into the system. For the irresponsible this will be manipulation or theft of a data. Regarding to that problems, the purpose of this research is to anticipate system login access by designing and building a prototype security system using NodeMcu and RFID technology. The method used in this research is qualitative with the development of agile models, namely Kanban models, while for design using UML models. The final result of this research is a prototype of a login system using NodeMcu and RFID technology as a security alternative to a system on web.
The Logic of the Grid: A Structural and Representational Tool for the Ekistics
Authors: ACAR Zuhal
Published: November 2022

This study focused on Ekistics, the proposed science of human settlements by Constantinos A. Doxiadis in the 1960s, with reference to the current discussions in the field of knowledge, particularly the exponential growth in the amount of data. The conditions which led Doxiadis to found a new science of human settlements were discussed in a comparative manner to the current challenges scientists face today in the age of Big Data. Ekistics used the logic of the grid as an essential element in both construction and representation of the new science of human settlements. In the article, this new science was primarily considered as an effort to data-basing all human settlements that ever existed regardless of their scales, and it is argued that the logic of Ekistics fits better as a tool for analysis and documentation since it is very analytically constructed as a grid. Even though the grid logic corresponds to physical systems in the city, like roads or other infrastructural elements, abstract relationships between disciplines, or the flow of information, in Doxiadis’ formulation, the grid remains a two-dimensional construct that presupposes linear advancement from analysis to production.
The BabyView Camera: Designing a New Head-mounted Camera to Capture Children’s Early Social and Visual Environment
Authors: Long Bria , Goodin Sarah , Kachergis George , Marchman Virginia A. , Radwan Samaher , Sparks Robert , Xiang Violet , Zhuang Chengxu , Hsu Oliver , Newman Brett , Yamins Daniel , Frank Michael C.
Published: November 2022

Head-mounted cameras have been used in developmental psychology research for more than a decade to provide a rich and comprehensive view of what infants see during their everyday experiences. However, variation between these devices has limited the field’s ability to compare results across studies and across labs. Further, the video data captured by these cameras to date has been relatively low-resolution, limiting how well machine learning algorithms can operate over these rich video data. Here, we provide a well-tested and easily constructed design for a head-mounted camera assembly—the BabyView—developed in collaboration with Daylight Design, LLC., a professional product design firm. The BabyView collects high-resolution video, accelerometer, and gyroscope data from children approximately 6 - 30 months of age via a GoPro camera custom mounted on a soft child-safety helmet. The BabyView also captures a large, portrait-oriented vertical field-of-view that encompasses both children’s interactions with objects and with their social partners. We detail our protocols for video data management and for handling sensitive data from home environments. We also provide customizable materials for onboarding families with the BabyView. We hope that these materials will encourage the wide adoption of the BabyView, allowing the field to collect high-resolution data that can link children’s everyday environments with their learning outcomes.
Parents’ Perceptions of Parental Consent Procedures for Social Science Research in the School Context
Authors: van Woudenberg Thabo Joshua , Rozendaal Esther , Buijzen Moniek
Published: November 2022

Institutional review boards typically require researchers to use active parental consent procedures when studying children and adolescents. However, asking for active consent leads to smaller and more biased samples, and a larger total burden for parents. Therefore, asking for passive parental consent might be preferable, but this comes with uncertainty regarding whether the parent has received and understood the information. Choosing between active and passive consent has mainly been debated by academics, but parents are also important stakeholders and it is unclear how consent procedures fit the needs and preferences of the parents of prospective participants. In this study, we used an online survey in which parents (N = 156, based on resource constraints and Bayesian updating (with a Bayes factor > 3) were exposed to video vignettes of multiple types of research in the classroom and were asked to indicate how they rate active and passive parental consent in terms of appropriateness. We used a reversed inferior hypothesis to test whether active consent was not rated as more appropriate than passive consent. The results indicated that parents perceived active consent procedures as more appropriate in most types of research. However, passive consent was rated comparably appropriate for some types of research, particularly for secondary school children. Furthermore, we explored factors that could affect the perceptions of parents and considered other aspects of providing consent that we displayed in an online dashboard. We concluded by providing recommendations for when and how to use active or passive parental consent for communication science research in the school context.
Two time points poorly capture trajectories of change: A warning for longitudinal neuroscience
Authors: Parsons Sam , McCormick Ethan Michael
Published: November 2022

Emerging neuroimaging studies investigating developmental changes in the brain aim to collect sufficient data points to examine trajectories of change across key developmental periods. Yet, many published studies using these data include only two time points, while data collection is ongoing. We offer conceptual and empirical arguments that this approach will often fail to meet the stated goal. First and foremost, analyzing data when subsequent waves are planned is analogous to “peeking” at data with half the sample collected. Practical concerns of funding and pressure to publish might counterbalance these downsides if analyses of early waves are good indicators of full developmental trajectories. We demonstrate empirically that this is unlikely to be the case, because of the imprecision of two time point change models to characterize underlying trajectories of change. Even under ideal simulated conditions (i.e., high signal-to-noise ratio, known functional form), two time points are not sufficient to accurately capture individual differences in trajectories of change. We generated underlying longitudinal data and fit models with 2, 3, 4, and 5 time points across 1000 samples. Recovery was poor for the two time point model, correlating typically at r = 0.41 with the true individual parameters -- meaning that these scores share only 16.8\% of variance -- and even lower reliability (ICC(2) = 0.28). As expected, models with more time points recovered the growth parameter more accurately. Yet, parameter recovery for the three time point model was still low, correlating typically around r = 0.57 (ICC(2) = 0.51). We argue that preliminary analyses on early subsets of time points in longitudinal analyses is detrimental to the ultimate goals of studies of change over time.
Dynamic processes in behavioral activation therapy for anhedonic adolescents: Modeling common and patient-specific relations
Authors: Webb Christian A. , Murray Laura , Tierney Anna O'Brien , Gates Kathleen
Published: November 2022

Objective: Behavioral Activation (BA) is a brief intervention for depression encouraging gradual and systematic re-engagement with rewarding activities and behaviors. Given this treatment focus, BA may be particularly beneficial for adolescents with prominent anhedonia, a predictor of poor treatment response and common residual symptom. We applied group iterative multiple model estimation (GIMME) to ecological momentary assessment (EMA) treatment data to investigate common and person-specific processes of change during BA for anhedonic adolescents.Method: Thirty-nine adolescents (Mage = 15.7 years old, 67% female, 81% White) with elevated anhedonia (Snaith Hamilton Pleasure Scale) were enrolled in a 12-week BA trial, with weekly anhedonia assessments. EMA surveys were triggered every other week (2-3 surveys per day) throughout treatment assessing current positive affect (PA) and negative affect (NA), engagement in pleasurable activities and social interactions, anticipatory pleasure, rumination, and recent pleasurable and stressful experiences. Results: Multilevel models revealed significant decreases in anhedonia (t(25.5) = -4.65, p < 0.001) over the 12-week trial. GIMME results indicated substantial heterogeneity in symptom networks across patients. Within-patient change in PA was the variable with the greatest number (21% of all paths vs. 11% for NA) of predictive paths to other symptoms (i.e., out-degree). Higher PA (but not NA) out-degree was associated with greater anhedonia improvement (t(25.8) = -2.22, p = 0.035).Conclusions: Results revealed substantial heterogeneity in symptom relations across patients, which may obscure the search for common processes of change in BA. PA may be a particularly important treatment target for anhedonic adolescents in BA.
Acute isolation is associated with increased reward responsiveness in human adolescents
Authors: Tomova Livia , Towner Emily , Thomas Kirsten , Zhang Lei , Palminteri Stefano , Blakemore Sarah-Jayne
Published: November 2022

Social connection, a basic human need, is particularly important during adolescence. How a lack of connection impacts adolescent behaviour is unclear. To address this question, we employed experimental short-term isolation with and without access to virtual social interactions (iso total; iso with media; order counterbalanced, both compared to a separate baseline session). We assessed how isolation impacts self-reported loneliness, reward seeking and reward learning in adolescents (N=40) aged 16-19 years. Self-reported state loneliness increased as a function of duration of isolation. When participants had access to virtual interactions, they self-reported less state loneliness during isolation. Isolation was associated with faster decisions to exert effort for rewards and improved reward learning. These effects were stronger in participants who reported higher state loneliness following isolation. We used fMRI to explore neural predictors of sensitivity to isolation and found that participants with lower neural reward sensitivity signals in the occipital cortex at baseline showed stronger effects of isolation. These results demonstrate that, in adolescents, isolation is associated with higher reward responsiveness, a key driver of motivation and decision-making.
Equilibrium Causal Models: Connecting Dynamical Systems Modeling and Cross-Sectional Data Analysis
Authors: Ryan Oisín , Dablander Fabian
Published: November 2022

Many psychological phenomena can be understood as systems of causally connected components that evolve over time within an individual. In current empirical practice, researchers frequently study these systems by fitting statistical models to data collected at a single moment in time, that is, cross-sectional data. This poses a central question: Can cross-sectional data analysis ever yield causal insights into systems that evolve over time, and if so, under what conditions? In this paper, we address this question by introducing Equilibrium Causal Models (ECMs) to the psychological literature. ECMs are causal abstractions of an underlying dynamical system that allow for inferences about the long-term effects of interventions, permit cyclic causal relationships, and can in principle be estimated from cross-sectional data, as long as information about the resting state of the system is captured by those measurements. We explain the conditions under which ECM estimation is possible, show that they allow researchers to learn about within-person processes from cross-sectional data, and discuss how tools from both psychological measurement modeling and the causal discovery literature can inform the ways in which researchers collect and analyze their data.
Retour sur la vie théâtrale de Guy Michaud : homosexualité, sida et voix marginalisées sur les planches fransaskoises
Authors: Klassen Jeffrey
Published: November 2022

This article presents the theatrical career of Guy Michaud, playwright, actor, and director. Working in two languages in a province that is primarily Anglophone, Michaud’s work is situated at the intersection of two minority groups in Saskatchewan: the gay community and the Francophone community. Michaud’s bilingual career in Saskatchewan coincided with the emergence of AIDs theatre, which redefined dominant ideologies regarding homosexuality. With compassion and care, Michaud created characters who gave a human face to the AIDs tragedy and called into question the anglophone and heteronormative hegemony in Saskatchewan. By examining Michaud’s writing and conducting a research interview with him, the current study offers a biographical portrait of this theatre artist followed by an in-depth exploration of the topics found in his work: AIDs and its associated grief, homosexuality, and alienated youth.
The Painful Killer; Calciphylaxis: Let No Disease Pull You Down So Low So As You Quit In Despair
Authors: Magbri Awad
Published: November 2022

The patient is 72 years old Caucasian male with end-stage renal disease on hemodialysis, type-2 diabetes mellitus, obstructive sleep apnea with respiratory insufficiency, calcific aortic stenosis and congestive heart failure. He developed ulcers in the upper thighs, and lower abdomen with violations skin around the ulcers.
Recurrent Ischemic Stroke in a Patient with Atrial Myxoma: A Case Report
Authors: Shrestha Gentle Sunder , Rimal Ankit , Shrestha Shubha Kalyan , Shrestha Pramesh Sunder , Acharya Subhash Prasad
Published: November 2022

Cardiac myxoma is an infrequent but curable cause of ischemic stroke. There are no guidelines addressing the timing of surgery to excise the tumour or for the use of thrombolysis or thrombectomy. We present a case with an ischemic stroke which was diagnosed to have atrial myxoma. She was planned for surgical excision of the tumour but suffered from a second ischemic stroke while awaiting surgery. This article aims to highlight vital aspects of this rare phenomenon and discuss the prospects of the timing of surgery and neurosurgical intervention. The importance of a proper cardiac evaluation in all cases of stroke is highlighted.
Feeding Intolerance among Preterm Neonates Admitted to the Neonatal Intensive Care Unit at a Tertiary Care Centre: A Descriptive Cross-sectional Study
Authors: Kayastha Pawana , Shrestha Sabina , Subba Ashish
Published: November 2022

Introduction: Premature infants frequently suffer from feeding intolerance related to prematurity and are highly associated with morbidity and mortality. Breast milk is fundamental to the improvement of the infant’s immature vulnerable framework and decreases child mortality. The aim of this study was to find out the prevalence of feeding intolerance in premature neonates admitted to the neonatal intensive care unit of a tertiary care centre.
Methods: This descriptive cross-sectional study was carried out among premature infants admitted to the Neonatal Intensive Care Unit of a tertiary care hospital, from 15 December 2021 to 15 May 2022 after receiving ethical approval from the Institutional Review Committee (Reference number: 2211202103). Convenience sampling was done. Point estimate and 95% Confidence Interval were calculated.
Results: Among the 55 preterm neonates, the prevalence of feeding intolerance was 21 (38.18%) (25.34-51.02, 95% Confidence Interval).
Conclusions: The study showed that the prevalence of feeding intolerance among neonates was higher than in studies conducted in similar settings.
Urine Discoloration Associated with Metronidazole: A Case Report
Authors: Anjum Mohammad Firoz , Twanabasu Sajal , Shrestha Kipa
Published: November 2022

Metronidazole belongs to the nitroimidazole group of antibiotics. It is used for the treatment of anaerobic and protozoal organisms. Its common side effects are nausea, vomiting, headache, and abdominal pain. Urine discolouration is one of the rare side effects of metronidazole. We report a case of 4-years-old male, a known case of Steroid resistant nephrotic syndrome; Focal Segmental Glomerulosclerosis type who developed reddish discolouration of urine following the introduction of oral metronidazole which reverted back to its usual colour within 24 hours of discontinuing metronidazole. With no evidence of other possible causes, urine discolouration was linked with the use of metronidazole. Urine discoloration as a side effect of metronidazole is rarely reported in the literature. This case report of the rare adverse effects of the commonly used drug can be of importance in the scientific community. Urine discolouration could be considered a side effect of metronidazole when there is no other obvious cause.
ANÁLISE DA CONTRIBUIÇÃO DA DENÚNCIA POR CORRUPÇÃO PARA A OCORRÊNCIA DO EFEITO MANADA
Authors: Silva Vanessa Meneses , Lopes Lucena Wenner Glaucio
Published: November 2022

Buscou-se analisar se a denúncia por corrupção passiva contra Michel Temer ocasionou retornos anormais nas empresas listadas na B3 e contribuiu para a ocorrência do efeito manada. Utilizou-se como metodologia o estudo de eventos. Foi realizado o teste Kruskall-Wallis para identificar se existiu diferença entre as médias dos retornos nos períodos. Identificou-se que os retornos na janela de evento diferiram estatisticamente dos outros períodos. Ainda, para identificar se o evento ocasionou o efeito manada, rodou-se uma regressão OLS no modelo de Chang e Zang (2010). Percebeu-se que houve o efeito manada no período em que ocorreu a denúncia por prática de corrupção contra o presidente. Entende-se que a denúncia impactou o mercado financeiro brasileiro, ocasionando retornos anormais e a anomalia de mercado efeito manada.
LA INCIDENCIA DE LA DIVERSIDAD EN EL FUNCIONAMIENTO DEL CONSEJO DE ADMINISTRACIÓN EN CHILE, PERÍODO 2015 - 2017
Authors: Arenas-Torres Felipe , Santander-Ramírez Valentín , Campos-Troncoso Roberto
Published: November 2022

El propósito de esta investigación es determinar la incidencia de la diversidad de género, nacionalidad y edad en el funcionamiento del Consejo de Administración (CA). El estudio consideró una población de 585 sociedades anónimas abiertas, las cuales reportaron a la Comisión para el Mercado Financiero (CMF) en el período 2015 - 2017 sus prácticas de gobernanza corporativa y de responsabilidad social. El estudio del tipo descriptivo – correlacional, consideró en primera instancia un análisis estadístico descriptivo respecto a la adhesión de prácticas de gobiernos corporativos y de diversidad en los CA, además se realizó un análisis correlacional de las variables de estudio, para finalizar, con la determinación del impacto de la diversidad del CA en el buen funcionamiento del mismo. Entre los principales resultados, el funcionamiento del CA se encuentra en un nivel incipiente, su composición es altamente homogénea, caracterizándose en consejeros hombres, chilenos y en un rango etario 50 y 70 años, mientras que la incidencia de la diversidad en el funcionamiento del CA es casi imperceptible y poco significativa.
O DESEMPENHO DOS FUNDOS MÚTUOS DE AÇÕES NO BRASIL NO PERÍODO 20052018
Authors: Nobre Iuri Ribeiro , De Medeiros Otávio Ribeiro
Published: November 2022

Este artigo tem por objetivo analisar o desempenho dos fundos mútuos de ações em operação no Brasil entre 2005 e 2018, o que permitiu testar a hipótese do mercado eficiente (HME) em sua forma semiforte neste período. A amostra consiste em 106 fundos de investimento em ações com carteiras com ações listadas no mercado acionário brasileiro (B3). Quanto à metodologia, foram estimadas, para cada fundo, regressões baseadas no CAPM e analisados os seus interceptos, o alfa de Jensen. Os resultados obtidos com retornos brutos e líquidos, respectivamente, mostraram que apenas um fundo conseguiu bater o mercado, o que dá suporte à versão semiforte da HME
EFEITO DOS INVESTIMENTOS, GLOBALIZAÇÃO E CONDIÇÃO ECONÔMICA NO DESPERDÍCIO DE ALIMENTOS
Authors: Rosa Fabricia Silva , Lunkes Rogério João , Monteiro Januário José , Cipriano Mendes Alcindo
Published: November 2022

O objetivo do estudo é analisar o efeito dos investimentos, da globalização e da condição econômica no desperdício de alimentos. Foram analisados os dados de 172 países no ano de 2016, da base FAOSTAT da Food and Agriculture Organization, com utilização de modelagem de equações estruturais. Os resultados mostram que os investimentos, vindo de fontes internacionais ou nacionais, acabam tendo um impacto na redução do desperdício de alimentos. A globalização e a condição econômica do país têm impacto positivo com a redução das perdas nas etapas iniciais do processo de produção.
Smart DS-CDMA Receiver Based on Feed Forward Neural Network
Authors: Drakshayini M N  , Kounte Manjunath R
Published: November 2022

Direct Sequence Code Division Multiple Access (DS-CDMA) is a schemewhere several users transmit their data simultaneously over a common wireless communication channel,by spreading each data by distinct codes. At the receiver, the individual data are detected by appropriate decoding. In this paper, a new smart receiver is proposed for detecting DS-CDMA signals based on a multi-layer Feed Forward Neural Network (FFNN). The proposed receiver detects the transmitted data when the received signal is distorted due to channel noise, near-far effect and Rayleigh fading. The channel state information is indirectly captured during the training of the FFNN and hence the conventional channel state estimation using pilot signal or training sequences is eliminated. Experimental results show that the performance of the proposed receiver in terms of detection accuracy is superior to similar competitive demodulators.
Heart Disease Prediction Using Decision Tree in Comparison with k-Nearest Neighbor to Improve Accuracy
Authors: Pratyusha Maria , Kanimozhi K.V.
Published: November 2022

The target of the task is to foresee the coronary illness by Novel Decision Tree (DT) in examination with k-Nearest Neighbor (KNN) utilizing Cleveland dataset. Coronary Disease forecasting is performed by applying Decision Tree (N=20) and k-Nearest Neighbor (N=20) algorithms. Decision Tree algorithm uses the tree structure to make decisions. K-nearest neighbor is an easy approach to solve regression and classification problems. Cleveland heart dataset is utilized for identification and prediction. The data consists of 76 attributes however, only 14 features are selected that help in diagnosing a patient healthy or affected. Accuracy of cardiovascular risk prediction using k-NN is 68.9% & using decision tree is 81.9%. There exists a statistical significant difference between DT and k-NN with 0.035(p<0.05). Decision Tree algorithm appears to perform significantly better than k-Nearest Neighbor algorithm for heart disease prediction.
Marine Plastic Detection Using Deep Learning
Authors: Bhanumathi M  , DhanyaS  , Gugan R  , KirthikaKG
Published: November 2022

Ocean Pollution is one of the alarming environmental concerns where studies reveal that the biggest reason for ocean pollution is caused by the plastic debris discarded from the land. These plastics pose a threat to the coastal wildlife, marine ecosystem balance, and the economic health of the coastal communities. Inevitably this would result in affecting both human and aquatic living. The most commonly used methods, though effective, pose certain disadvantages when it comes to detecting and quantifying plastics. Thus, it is important to adopt alternative methods involving the latest technologies that would easily help us to identify the plastics and aid in their removal. In this paper, we have investigated the YOLO v4 and YOLO v5 deep learning object detection algorithms for detecting and identifying the marine plastics in the epipelagic layers of the water bodies. Ocean plastic images available on the internet are used to create the datasets. Image augmentation helps in increasing the number of images in the dataset. The Mean Average Precision of YOLO v4 and YOLO v5 are studied and the algorithm performance is explained with the results concluded.
A Secure E-Governance System Using Blockchain Techniques
Authors: Senthilnayaki B  , Mahalakshmi G  , Narashiman D  , Mahendran E  , PremAnandh M  , Sairamesh L
Published: November 2022

Secure data and property transmission between two parties is a difficult task in the real world. The existing system for e-governance operations is riddled with inefficiencies and dishonesty, resulting in records that are not safeguarded, and people are the ones who face the brunt of it. The proposed system is built upon utilizing blockchain principles to securely transfer E-governance processes from one party to another. It is an electronic record of data that necessitates the use of digital security. All of the data in the blockchain is immutable; it is almost impossible to modify the value of data once it has been placed into the blockchain. The proposed model is based on blockchain technology and implements a secure E-governance system in land registration. It aids in the upliftment of the disadvantaged and underprivileged sections of society by combating illicit land authorization. Because of this, the suggested system outperforms the current system.
Comparison of Accuracy Prediction of Medical Insurance Using Decision Tree with K-Nearest Neighbour
Authors: Krishna AkkarapalliChenchu , Rama Parvathy L.
Published: November 2022

The main aim of this work is to measure and compare the accuracy prediction of medical insurance using a Decision tree with the K-nearest neighbor algorithm. Supervised Machine learning Techniques with innovative Decision Trees (N = 50) and K Nearest Neighbour (KNN) (N = 50) are performed. In this study, 100 photos were utilized, 80% of them being trained and 20% being tested, and the sample size for two groups was computed using G power with a pretest power of 0.8. Compared to Decision Tree and statistical analysis using SPSS software, 100 photos were utilized for group 1 (K-Nearest Neighbour). K-Nearest Neighbour has a mean accuracy of 87.410.224, whereas Decision Tree achieves an accuracy of 82.470.290, with a significant value of 0.297. Based on the execution analysis, the K-Nearest Neighbour approach outperforms the Decision Tree algorithm in terms of accuracy.
A Study of the Application of Design Assets in Product Development
Authors: Raudberget Dag , Elgh Fredrik , Lennartsson Martin , Areth Koroth Rohith
Published: November 2022

The introduction of product platforms has been acknowledged as a strategic enabler for increased business competitiveness. A vast body of research has described different aspects of platforms, but little work has been done on defining or delimiting the different types of elements that may build up a platform. Design assets include platform elements that are not commonly considered as a part of a platform. Previous research has suggested the introduction of formalized design assets to systematically extend an items-based platform with intangible elements. These are transdisciplinary objects, specifically prepared for reuse between projects to provide support for a wide range of engineering activities: specialized CAD geometry, working methods, spread sheets, function models or different types of knowledge representations, among others. The presented research is part of a larger project seeking to improve the collaboration between product development and manufacturing. This paper focuses on the use of potential and formal design assets at a development department of a global manufacturer of consumer products. The results show that the application of formal design assets depends on several factors, such as the level of professional experience and individual working styles. The contribution of the paper is a description of which formal and informal design assets that are used and a discussion on how the formal assets can be better utilized.
Identifying and Documenting Expert Knowledge, A Practical Study of Design Patterns
Authors: Russell Samuel , Kruse Benjamin , Cloutier Robert , Verma Dinesh
Published: November 2022

Globalization, powered by digitization, is increasing technology growth and knowledge transfer rates to levels not seen in the previous 3500 years, obscuring absolute truth and accelerating rates of innovation and production. Competing, or remaining competitive, in this global marketplace requires a learning organization adopt a method of capture, retention, and reuse for demonstrated tacit knowledge to accelerate the development of increasingly complex systems of high quality at a reasonable cost. The architectural theory of Patterns and Pattern Language is a validated methodology for mining tacit domain knowledge from a proven system. This work applies architectural theory to a multi-year development experiment and captures exposed knowledge as a design pattern in a model based systems engineering tool, demonstrating applicability of digital engineering initiatives in the description and reuse of expert design knowledge. By creating and archiving model based expressions of expert knowledge, a learning organization can improve practical decision making and avoid uninformed concept phase decision making.
An Approach for the Incremental Update of a Digital Twin of a Process Plant
Authors: Kremer Philipp , Lützenberger Johannes , Müller Frank , Stjepandić Josip
Published: November 2022

Process plants have a long life cycle which often has started prior to the digital era. Most recently, the concept of digital twin provides significant support for process optimization and reducing the erroneous impact of human factors. The twinning of the existing plants or a portion of is necessary based on automated and accurate object acquisition by scanning. Automatic shape segmentation based on machine learning from unstructured (e.g. point cloud) data is a core step of the digital twinning process for industrial facilities. Once this twin has been generated, a frequent, mostly incremental update is necessary due to modifications during the maintenance and modernisation. The exploration of the pipeline semantics presents a further research step to keep coherence of 3D model with the pipeline and instrumentation diagram. In this paper, the entire approach is described based on a use case of a biogas plant in an industrial collaboration. Transdisciplinary aspects of this approach are further explored.