Miracle-dz/UniFAR-FTUs huggingface dataset:
DESAIN SISTEM MONITORING SISA PAKAN MENGGUNAKAN SENSOR ULTRASONIK PADA ALAT PEMBERI MAKAN IKAN OTOMATIS

Otomatisasi, khususnya tentang otomatisasi pemberian pakan telah cukup banyak dikembangkan dalam bidang budidaya ikan. Hal yang perlu diperhatikan dalam perancangan alat pemberi pakan ikan otomatis adalah pada bagian monitoring sisa pakan. Karena meskipun otomatis, namun jika sampai kehabisan pakan maka alat menjadi kurang efektif. Untuk itu peneliti berinisiatif membuat desain monitoring sisa pakan ikan pada alat pemberi makan ikan otomatis ini. Alat terdiri dari 3 bagian hardware yaitu tangki pakan, alat pembuka pakan, serta alat pelempar pakan, dan 1 bagian software adalah berupa aplikasi user interface menggunakan Blynk. Penelitian ini berfokus membahas desain sistem monitoring sisa pakan pada bagian tangki pakan saja. Untuk mendeteksi sisa pakan, digunakan sensor ultrasonik yang kemudian data tersebut dikirimkan secara nirkabel ke aplikasi android Blynk. Aplikasi android kemudian akan menampilkan sisa pakan yang ada pada tangki. Pengukuran akurasi sistem dilakukan melalui uji coba dengan mengambil beberapa gram pakan dari tangki, kemudian membandingkan data prosentase sisa pakan yang ditampilkan oleh sistem dengan prosentase sisa pakan yang seharusnya. Berdasarkan hasil pengujian yang dilakukan, tingkat akurasi sistem mecapai 99%.
A Green Economy Model for India: Technical Summary of Methods and Data Used

The green economy model for India is a system dynamics model that has been customized to the national context in the structure of the model and input data. It also takes into account the key priorities for the country, incorporating primary and allied sectors affecting climate change at the national level. The model has been developed jointly by World Resources Institute India and KnowlEdge Srl (Switzerland); it is based on a Green Economy Model (GEM) published by Andrea M. Bassi (Bassi 2015). The GEM has also been used in other countries to explore low-carbon development pathways; the model is customized to the context in which it is applied. The model is intended to provide tools for making informed policy decisions that would take India to a low-carbon development pathway. This technical note focuses on the structure of the model, the motivation behind developing it, and the data and assumptions accompanying it.
The Relationship between Grade-Level and Breakfast Skipping among Adolescents: The Mediating Effects of Dietary Autonomy

Breakfast skipping among adolescents in the United States is a public health issue because it has adverse consequences on dietary intake and body mass index. The primary aim of this study is to examine the relationship between grade level and reported breakfast skipping among adolescents and whether it is mediated by dietary autonomy. Analyses were based on self-reported data from Wave I of the National Longitudinal Study of Adolescent Health, a nationally representative sample of adolescents in the United States surveyed in 1995. Logistic regression analysis was used to evaluate the effects of grade level and dietary autonomy on adolescents’ reported breakfast skipping. Following MacKinnon and Dwyer, we tested whether the effect of grade level on breakfast skipping was mediated by adolescents’ dietary autonomy. After controlling for sex, race, exercise, parental education, and household income, both grade level (OR = 2.005, 95% CI = 1.684-2.387) and dietary autonomy (OR = 1.435, 95% CI = 1.157-1.780) were each significant predictors of breakfast skipping when tested separately. Mediation analysis showed that dietary autonomy partially mediated the relationship between grade-level and breakfast skipping. Since adolescents in higher grades and those with more dietary autonomy are more likely to skip breakfast, nutritional messages may need to continue beyond the lower grades and emphasize that healthy eating habits can demonstrate autonomy.
Incidence Trends of Cancer in Morocco: The Tale of the Oncological Center of Marrakech (Morocco) over 8 Years

Background Determining cancer incidence and mortality is a key factor in the implementation of health policies and cancer prevention strategies. This report aims to describe the trends of cancer incidence in a single referral oncology department from the Marrakech region (Morocco). Material and Methods. All new cancer cases of age ≥ 15 years registered at the Medical Oncology department of Mohammed VI University Hospital of Marrakesh between January 1, 2012, and December 31, 2019, were included. Central nervous system (CNS) cancers, tumors of hematopoietic and lymphoid tissues, and thyroid cancers for which chemotherapy was not indicated or was managed in other cancer-specialized departments were excluded from the analysis. Manual data collection from printed archived medical records of the study population was performed. Descriptive statistics were analyzed using R software and Joinpoint Regression Program. Results A total of 15648 new cancer cases were analyzed. Missing data (n = 1822) accounted for 11.64%, and 4.1% (n = 652) were excluded. The final statistical analysis and registration included 13174 cases. The median age at diagnosis is 54 years for females and 61 years for males. Female patients outnumbered males with a ratio of 1.58 among all age groups except those aged ≥75 y. The age-standardized incidence rate (ASIR) for all sites was 68,0 per 100.000 person-years, which has increased with an annual percent change (APC) of 10.61%. The five most common malignancies among males are lung, stomach, prostate, colic, and rectal cancers. Among females, the five most frequent cancers are breast, cervix, ovary, colon, and stomach. Conclusion The higher incidence observed in our results translates into a growing burden on the center and is expected to impact our ability to deliver cancer care. Epidemiological studies to identify risk factors and effective efforts are needed to further invest in cancer control and prevention plans.
Using Human–Machine Interfaces to Convey Feedback in Automated Driving

The next decade will see a rapid increase in the prevalence of partial vehicle automation, specifically conditional automation (i.e., SAE level 3; SAE, 2018). In conditional automation, the expectation is that the user is still receptive to takeover and can disengage while the automation is active, but as the automation approaches its operational limits, or the end of its operational design domain, it issues a request to intervene and the user is expected to retake control. A human–machine interface (HMI) that can safely and effectively transition control is therefore very important. This simulator study investigated how features of the HMI design, specifically feedback about the confidence (i.e., current capability) of the automation influenced transition of control. Participants were assigned to one of three conditions, which received varying amounts of visual and auditory feedback regarding the automation’s confidence. Findings suggest 3-stage auditory-visual feedback about the automation’s confidence may improve subsequent takeover performance compared to 3-stage visual and a control group without feedback. This research demonstrates the potential value of providing more insight into automated feature performance in conditional automation.
SCHOOL VIOLENCE IN DIVERSITY PERSPECTIVE: EVIDENCE FROM TEACHING AND LEARNING INTERNATIONAL SURVEY 2018

Violence is a widespread global problem in society and schools in particular; education stakeholders are charged with the urgency of diminishing violent behavior and delinquency in schools. This research was conducted using the cross-national principal data set from the 2018 Teaching and Learning International Survey (TALIS) administered by the Organization for Economic and Co-operation and Development (OECD). The study examined the relationship between school violence and professional development in leadership, it also explored how multicultural diversity policies and practices, school multicultural environments relate to violence in schools. Country fixed effect estimate was conducted to explore the relationship between school leadership, multicultural environment, multicultural policies and practices, and school violence in 47 countries. Results indicate that school leadership is adversely related to school violence, multicultural policies and practices were interestingly found to affect school violence positively. The results added nuance to previous studies that school leadership can play a cogent role in school violence, schools should invest in creating policies and practices that are core in self-affirmation and inclusive of all students. Article visualizations:
Identification of DTL as Related Biomarker and Immune Infiltration Characteristics of Nasopharyngeal Carcinoma via Comprehensive Strategies

Purpose Although considerable progress has been made in basic and clinical research on nasopharyngeal carcinoma (NPC), the biomarkers of the progression of NPC have not been fully studied and described. This study was designed to identify potential novel biomarkers for NPC using integrated analyses and explore the immune cell infiltration in this pathological process. Methods Five GEO data sets were downloaded from gene expression omnibus database (GEO) and analysed to identify differentially expressed genes (DEGs), followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The four algorithms were adopted for screening of novel and key biomarkers for NPC, including random forest (RF) machine learning algorithm, least absolute shrinkage and selection operator (LASSO) logistic regression, support vector machine-recursive feature elimination (SVM-RFE), and weighted gene co-expression network analysis (WGCNA). Lastly, CIBERSORT was used to assess the infiltration of immune cells in NPC, and the correlation between diagnostic markers and infiltrating immune cells was analyzed. Results Herein, we identified 46 DEGs, and enrichment analysis results showed that DEGs and several kinds of signaling pathways might be closely associated with the occurrence and progression of NPC. DTL was recognized as NPC-related biomarker. DTL, also known as retinoic acid-regulated nuclear matrix-associated protein (RAMP), or DNA replication factor 2 (CDT2), is reported to be correlated with the cell proliferation, cell cycle arrest and cell invasion in hepatocellular carcinoma, breast cancer and gastric cancer. Immune infiltration analysis demonstrated that macrophages M0, macrophages M1 and T cells CD4 memory activated were linked to pathogenesis of NPC. Conclusion In summary, we adopted a comprehensive strategy to screen DTL as biomarkers related to NPC and explore the critical role of immune cell infiltration in NPC.
Aligning Course Content, Assessment, and Delivery: Creating a Context for Outcome-Based Education

The emphasis on Outcome-Based Education (OBE) and student-centered learning is an enormous advance in engineering education. We argue in this chapter that an essential element of OBE is aligning content, assessment, and delivery. The objective of this chapter is to provide a model for aligning course content with assessment and delivery that practitioners can use to inform the design or re-design of engineering courses.
Enrichment and characterization of Anammox bacteria in a non-woven membrane reactor

An upflow column reactor packed with nonwoven fabric carrier was used to enrich anaerobic ammonium oxidation (Anammox) sludge. After 101 days, the reactor Anammox sludge concentration increased from 470 to 3,118 mg·L−1. In the stable operating stage, the average total nitrogen (TN) volume loading rate was 818.3 mg·L−1, and the maximum removal efficiencies of NH4+-N, NO2−-N and TN were 65.9, 81.2 and 63.8%, respectively. Scanning electron microscopy (SEM) showed that the cultivated sludge was dominated by a mix of short rod-shaped and spherical bacteria, which accumulated to the typical cauliflower-like aggregates assumed to be the Anammox culture. Fluorescence in situ hybridization (FISH) analysis using 16S rRNA showed that the dominant population developed in the reactor when hybridized with both PLA46 and Amx820 gene probes. This indicates that the cultivated biomass may comprise Planctomycetes bacteria. The results of real-time quantitative PCR (qPCR) showed that these bacteria formed 45 to 60% of the total bacteria in the Anammox sludge. The study demonstrated successful detection and enrichment of Anammox bacteria in wastewater.
A Secure Unmanned Aerial Vehicle Service for Medical System to Improve Smart City Facilities

The use of drone technology and drones are currently widespread due to their increasing applications. However, there are some specific security-based challenges in the authentication process. In most drone-based applications, there are many authentication approaches, which are subject to handover delay issues with security complexities for an attack. To end these issues, the presented research has focused on developing a novel Optimized deep learning model known as Fruit Fly based UNet Drone Assisted Security (FFUDAS) to remove the malicious attacks. Moreover, the user requests are stored in the cloud, and the stored data are trained to the drones. Hereafter, the drones can deliver medicine to the requestor’s location; in that, the malicious attacks were changes the location of drones. Once the attack is identified, then the attack removal process is done. Finally, the new path location to the requested user was identified with the help of fruit fly fitness; then the medicines are delivered to the requested user’s location. Furthermore, the designed procedure is executed in an NS2 platform with required nodes. The robustness of the presented model was verified by evaluating the metrics like confidential data rate, execution time, handover delay, pack perception and data delivery rate, and energy consumption. Furthermore, to identify the effectiveness of the presented work, the presented model is compared with other existing schemes. The comparison results show that the presented model has higher throughput, less execution time and handover delay. Keywords—Drones; security; FFUDAS; malicious attack; fruit fly fitness; path identification; medicine delivery
Precision Medicine: Neuropsychodynamic Psychiatry Model of Major Depressive Disorder

Major Depressive Disorder (MDD) is one of the most extensive types of psychiatric disorders. It refers to various symptoms and considerable rates of relapse, where episodes rarely resolve completely even with intensive psychiatric care. There has been growing concern over the ineffectiveness in treating MDD in reductionist domination in the psychiatry domain. The recent development of neuropsychodynamics offers an integrative model incorporating a holistic understanding of the human mind in terms of neuroscience and psychoanalytic theories and provides a potentially effective cure for MDD. In this review, MDD in the neuropsychodynamic model is manifested as an abnormal operation of the self. The chief feature refers to the increasing inward focus of the self and decreasing outward direction of the environment. To argue for the necessity of utilizing neuropsychodynamic methodology in assessing and treating MDD, the advantages of the model were discussed.
“I don’t just want to look female; I want to be beautiful”: theorizing passing as labor in the transition vlogs of Gigi Gorgeous and Natalie Wynn

ABSTRACT In September 2018, transgender YouTuber Natalie Wynn (aka ContraPoints) released “The Aesthetic,” a video in which she explored the social pressure placed on trans women in the public eye to pass. Taking this video as a starting point, I analyze trans beauty influencer Gigi Gorgeous’s early transition vlogs in which she details her experiences with cosmetic surgery. The narrative Gorgeous constructs in these vlogs, I contend, employs transnormative discourses that center an internal struggle with gender dysphoria. However, I complicate this narrative by placing Gorgeous’s vlogs in conversation with Wynn’s vlog where she recounts her own experience with facial feminization surgery, pointing to the external pressures she faces to conform to beauty norms. I contextualize these narratives within the literatures on aesthetic labor and social media influencers to explore how Gorgeous and Wynn’s desires to pass and to be beautiful are informed by their status as highly visible trans women working in the cultural industries. By theorizing passing as labor, I argue that beautification practices such as cosmetic surgery are investments that trans women in the public eye make in the hopes of attaining social and economic capital.
“Green Is the Color”: An Update on Ecofriendly Aspects of Organoselenium Chemistry

Organoselenium compounds have been successfully applied in biological, medicinal and material sciences, as well as a powerful tool for modern organic synthesis, attracting the attention of the scientific community. This great success is mainly due to the breaking of paradigm demonstrated by innumerous works, that the selenium compounds were toxic and would have a potential impact on the environment. In this update review, we highlight the relevance of these compounds in several fields of research as well as the possibility to synthesize them through more environmentally sustainable methodologies, involving catalytic processes, flow chemistry, electrosynthesis, as well as by the use of alternative energy sources, including mechanochemical, photochemistry, sonochemical and microwave irradiation.
Development and Validation of a Scoring System for Assessment of Clinical Failure after Pediatric Robot-Assisted Laparoscopic Extravesical Ureteral Reimplantation: A Multi-Center Study

We aimed to develop and validate a scoring system as an objective assessment tool for predicting clinical failure after pediatric robotic extravesical ureteral reimplantation. Data for this multi-institutional retrospective cohort was obtained from two tertiary referral hospitals. We defined clinical failure as incomplete radiographic resolution or post-operative febrile UTI. Patients were stratified into low, intermediate, and high-risk groups according to the score. External validation was performed using the model projected to the external validation cohort. An amount of 115 renal units in the development cohort and 46 renal units in the validation cohort were analyzed. The prediction score was calculated with weighted points to each variable according to their regression coefficient as age (year) + BMI + BBD times 10 + VUR grade times 7 + console time (h) + hospital stay times 6. The C-index of our scoring system was 0.850 and 0.770 in the development and validation cohorts, respectively. Clinical failure was significantly different among risk groups: 0% (low-risk), 3.3% (intermediate-risk), and 22.2% (high-risk) (p = 0.004) in the development cohort. A novel scoring system using multiple pre- and intra-operative variables provides a prediction of children at risk of failure after robotic extravesical ureteral reimplantation.
A Better Cardiopulmonary Fitness Is Associated with Improved Concentration Level and Health-Related Quality of Life in Primary School Children

This study aimed to examine the physical fitness (PF) levels of primary school children and to determine the associations among PF, concentration, and health-related quality of life (HRQOL) in a subcohort. PF was assessed in 6533 healthy primary school-age children (aged 6–10 years, 3248 boys and 3285 girls) via standardized test batteries. Concentration was measured with the d2-R test, and KINDL questionnaires were used to determine HRQOL. Analysis of variance showed an increase in PF with age in all PF dimensions (all p < 0.001), except cardiopulmonary fitness (estimated VO2max) in girls (p = 0.129). Boys performed better in nearly all PF dimensions, except curl-ups, in all children aged ≥7 years (p < 0.05). Concentration levels increased in boys and girls aged 7–9 years (p < 0.001), whereas HRQOL did not (p = 0.179). The estimated VO2max had a strong impact on concentration (β = 0.16, p < 0.001) and HRQOL (β = 0.21, p < 0.001) in 9- to 10-year-olds. Cardiopulmonary fitness is important for improved concentration and better HRQOL in primary school-age children. However, longitudinal data are needed to provide further insight into the intraindividual relationships of PF and concentration over the course of child development and set up targeted prevention programs.
Simulation Study of the Neural Network Pattern Recognition of PD Failures

In this paper the PD (partial discharges) fault recognition of the high voltage apparatus is studied. Two ideal discharge patterns are simulated with the coaxia l electrode. The statistic method is used to pick up the PD character. The disch arge asymmetry, phase asymmetry and the cross-correlation factor are chosen an d used as a set of the input vectors of neural network (NN). Experiment shows th e effectiveness of the methed.
The Mediating Role of Self-Forgiveness in the Relationship between Perceived Social Support and Adjustment to Divorce

ABSTRACT The aim of the research was to determine the predictive strength of perceived social support on divorce adjustment process, and the mediating role of self-forgiveness in this predictive relationship. In line with this, the hypothetical structural model was tested with a total of 150 individuals who were divorced or in the legal divorce process. The findings showed that perceived social support positively predicted divorce adjustment at high levels, positive and negative attitudes of self-forgiveness did not significantly predict divorce adjustment, and additionally, they did not function as mediating variables in the prediction of divorce adjustment by perceived social support. The fit indices of the tested model revealed good level of fit. The findings were discussed within the framework of the relevant literature and the cultural context.
Selection of suitable reference genes for real-time qPCR gene expression in cauliflower under abiotic stress and methyl jasmonate treatment

Cauliflower (Brassica oleracea L. var. botrytis), an annual herbaceous crop belonging to the cruciferous vegetables, is an important and widely-grown vegetable worldwide (Giuffrida et al. 2018). It is an excellent source of phenolics, ascorbic acid, vitamins B1, B2, and B3, folic acid, tocopherols, and dietary fibre (Mashabela et al. 2018, Nerdy 2018, Sun et al. 2018, Thorwarth et al. 2018). Medical research has revealed that a diet rich in cauliflower can lower the risk of cancer (Bergès et al. 2018, Kalisz et al. 2018). Cauliflower contains glucosinolates, a class of secondary plant metabolites; their hydrolyzed products have anti-carcinogenic properties (Oda et al. 2019). The findings of multiple studies have indicated that environmental stresses can increase the accumulation of glucosinolates (Jousef et al. 2018, Oda et al. 2019), but the glucosinolate content in most cauliflower plants is very