bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and testing of a 2D offshore oil spill modeling tool (OSMT) supported by an effective calibration method
Authors: Yang Zhaoyang , Chen Zhi , Lee Kenneth
Published: September 2022

Spill trajectory prediction (STP) is essential to decision-making support for oil pollution preparedness and response. An Oil Spill Modeling Tool (OSMT) has been developed in this study to predict the transport and fate of oil spills from surface releases. Particularly, the Kullback-Leibler (KL) divergence method is adopted as a performance metric for the first time to formulate a calibration framework for STP from the Lagrangian transport model (LTM). By finding the candidate with minimal KL divergences from modeling scenarios using designed parameter combinations, the prediction discrepancy between simulated trajectories of the LTM and oil slicks detected from satellite images are reduced. The developed approach has first been evaluated through a numerical comparison analysis between OSMT and Operational Oil Modeling Environment (GNOME) model to examine model validity in a hypothetical case. Subsequently, a real case study is conducted to examine the applicability and effectiveness of the KL divergence-based oil spill trajectory modeling method. The study results indicate that OSMT can provide reliable spill trajectory simulations, and the KL divergence-based calibration method is effective in calibrating the oil spill LTM.
Correlations between cathodoluminescence intensity and aluminum concentration in low-temperature hydrothermal quartz
Authors: Yuan Mao-Wen , Li Lin , Alam Masroor , Santosh M. , Li Sheng-Rong , Hou Zeng-Qian
Published: September 2022

Quartz cathodoluminescence (CL) images are commonly combined with trace element concentrations to decipher complex histories of hydrothermal systems. However, the correlations between aluminum content and CL zoning of low-temperature hydrothermal quartz and their genesis remain controversial. In this contribution, a multiparametric study was carried out on CL-aluminum zoning of low-temperature hydrothermal quartz (<350 °C) from the Shihu and Rushan quartz-vein type Au deposits in the North China Craton. The results show that aluminum concentration correlates negatively with CL intensity in quartz from the Shihu Au deposit. CL-dark quartz zoning has significant Al concentrations as well as detectable Al-H bonds. However, in the Rushan Au deposit, the correlation is positive, and aluminum is enriched in the CL-bright quartz zoning. The Al content is positively correlated with K content with r2 = 0.769. Combined with the electron backscatter diffraction (EBSD), X-ray single crystal diffraction (XRD), and transmission electron microscope (TEM) data, we infer that the genesis of CL zoning in the low-temperature hydrothermal quartz is closely related to Al3+-H+ and Al3+-K+ concentrations. The Al3+-K+ may act as the CL-activator, while the Al3+-H+ may act as the CL-dampener. Where Al3+-Si4+ substitution is charge balanced by hydrogen, the intensity of CL response decreases; where Al3+-Si4+ substitution is charge balanced by potassium, the intensity of CL response increases. The correlations between CL intensity and aluminum concentration in the low-temperature hydrothermal quartz reflect pH fluctuations of hydrothermal system.
The impact of marketing innovations and business plans on business sustainability during the COVID-19 pandemic
Authors: Zahara Zakiyah , Muslimin Muslimin , Chintya Dewi Buntuang Pricylia
Published: September 2022

During the COVID-19 pandemic, businesses experienced various challenges, resulting in economic decline. The pandemic also threatened their sustainability. Thus, business actors have to consider this condition seriously. This study aims to analyze the impact of marketing innovations and business plans on business sustainability during the COVID-19 pandemic. The paper used quantitative methods. The population included 689 micro and small enterprises affected by COVID-19 in Palu City, Indonesia. It involved 253 respondents as samples selected using the Slovin formula with an error rate of 5%. Data analysis consisted of descriptive statistical testing and multiple linear regression. The findings showed that marketing innovations and business plans significantly affected business sustainability during the COVID-19 pandemic both simultaneously and partially. Then, simultaneously, it was indicated by the value of Fcount > Ftable (10.615 > 3.031) at a significance alpha (α) of 0.05 or Sig. F < 0.05. The significance value of 0.000 is smaller than the alpha (α) significance of 0.05, meaning it is significant. Partially, the business plan variable showed that tcount was higher than ttable (2.780 > 1.650). The significance value was 0.006, which is smaller than the alpha (α) significance of 0.05, meaning it is significant. The marketing innovation variable showed that tcount was higher than ttable (3.878 > 1.650). The significance value obtained was 0.000, which is smaller than the alpha (α) significance of 0.05, meaning it is significant.
Instrumentation, control and automation (ICA) of MBBR plants for nutrient removal in wastewater: ICA of MBBR plants
Authors: Ødegaard Hallvard , Ratnaweera Harsha , Rusten Bru
Published: September 2022

Cold and dilute wastewater is a major challenge for N-removal at wastewater treatment plants. The moving-bed biofilm reactor process in combination with chemical coagulation/precipitation has proven suitable for nutrient removal under these conditions. Several full-scale plants based on combined pre- and post-denitrification for nitrogen removal and chemical coagulation/precipitation for phosphorous removal have been in operation for more than 20 years. These plants are still performing well, even at above design loads and at low temperatures (<10°C). The success of this process configuration can largely be attributed to its flexibility of operation and control. In this paper the key instrumentation, control and automation elements are discussed and recommendations regarding process choice, reactor configuration and design are given.
A short-term water demand forecasting model using multivariate long short-term memory with meteorological data
Authors: Zanfei Ariele , Brentan Bruno Melo , Menapace Andrea , Righetti Maurizio
Published: September 2022

Sustainable management of water resources is a key challenge nowadays and in the future. Water distribution systems have to ensure fresh water for all users in an increasing demand scenario related to the long-term effects due to climate change. In this context, a reliable short-term water demand forecasting model is crucial for the optimal management of water resources. This study proposes a novel deep learning model based on long short-term memory (LSTM) neural networks to forecast hourly water demand. Due to the limitations of using multiple input sequences with different time lengths using LSTM, the proposed deep learning model is developed with two modules that process different temporal sequences of data: a first module aimed at dealing with short-term meteorological information and a second module aimed at representing the longer-term information of the water demand. The proposed dual-module structure allows a multivariate selection of the inputs with sequences of a different time length. The performance of the proposed deep learning model is compared to a conventional multi-layer perceptron (MLP) and a seasonal integrated moving average (SARIMA) model in a real case study. The results highlight the potential of the proposed multivariate approach in short-term water demand prediction, outperforming the more conventional approaches.
Hydrogeochemical and isotopic investigation of the multilayer aquifer system: a case study of the Quaternary and the Campanian aquifers of the Mateur plain, Northern Tunisia
Authors: Tlili Zrelli Besma , Ghabri Dhafer , El Asmi Amina Mabrouk , Gueddari Moncef
Published: September 2022

The Mateur multi-aquifer system, consisting of a Quaternary alluvial aquifer and a Campanian limestone aquifer, is one of the most significant aquifer systems in northern Tunisia, providing domestic and agricultural water supply for the entire Mateur region. The present study aims to unveil the various factors and mechanisms controlling the groundwater chemistry of such a system. Indeed, integrated hydrogeochemical and isotopic approaches are used herein to identify the alluvial and limestone aquifer waters mixing and evolution in the Mateur region. Results show that despite the difference in aquifer lithology, there is little difference in the major ion geochemistry and stable isotope ratios of groundwater within the Mateur plain. Waters from the Quaternary alluvial aquifer are classified into two predominant facies: mixed facies (Ca–Na–SO4–Cl and Ca–Na–HCO3–Cl) and Na–Cl facies. Similarly, waters from the limestone aquifer have also mixed facies (Ca–Na–SO4–Cl) and sodium chloride facies (NaCl). Groundwater δ18O and δ2H values show more homogeneous values along the groundwater flow direction, indicating inter-aquifer mixing processes. Tritium contents of the Campanian aquifer are lower than those of the Quaternary aquifer, indicating a relatively older age or mixture with recent waters. This validates a concept of the hydraulic continuity between the Quaternary aquifer and the Campanian aquifer which is consistent with the geochemical analytical results.
Engineered Nanomaterials as Emerging Water Pollutants
Authors: Jatoi Abdul Sattar , Ali Mazari Shuakat , Hashmi Zubair , Ahmed Shoaib , Mujawar Mubarak Nabisab , Rao Karri Rama , Sabzoi Nizamuddin , Abro Rashid , Shah Asif , Qayoom Memon Abdul , Karim Shah Abdul , Muhammad Atta
Published: September 2022

Nanotechnology has many advantages, and its applications are spread to
every field, from engineering to medicine and space to agriculture. Owing to the
immense advantages of nano-size particles, nano-based materials are widely applied in
wastewater treatment. These nanomaterials are developed and utilized in different
sizes, shapes, and chemical compositions. These nanomaterials are characterized by
their unique physical, chemical and biological properties. Besides the immense benefits
of nanomaterials, they also have few environmental implications. This chapter presents
the pros and cons of nanomaterials and their implications on the environment. Further,
the effect of various nanomaterials on the aquatic environment, including the behaviour
and toxicity on the aquatic ecosystem, is discussed. Finally, future directions to
minimize the toxic effect of nanomaterials on the aquatic ecosystem and the need for
improvement in the nanomaterials are presented. 
Monitoring the Nutrient Composition of Food Prepared Out-of-Home in the United Kingdom: Database Development and Case Study
Authors: Huang Yuru , Burgoine Thomas , Essman Michael , Theis Dolly R Z , Bishop Tom R P , Adams Jean
Published: September 2022

Background

Hand transcribing nutrient composition data from websites requires extensive human resources and is prone to error. As a result, there are limited nutrient composition data on food prepared out of the home in the United Kingdom. Such data are crucial for understanding and monitoring the out-of-home food environment, which aids policy making. Automated data collection from publicly available sources offers a potential low-resource solution to address this gap.

Objective

In this paper, we describe the first UK longitudinal nutritional database of food prepared out of the home, MenuTracker. As large chains will be required to display calorie information on their UK menus from April 2022, we also aimed to identify which chains reported their nutritional information online in November 2021. In a case study to demonstrate the utility of MenuTracker, we estimated the proportions of menu items exceeding recommended energy and nutrient intake (eg, >600 kcal per meal).

Methods

We have collated nutrient composition data of menu items sold by large chain restaurants quarterly since March 2021. Large chains were defined as those with 250 employees or more (those covered by the new calorie labeling policy) or belonging to the top 100 restaurants based on sales volume. We developed scripts in Python to automate the data collection process from business websites. Various techniques were used to harvest web data and extract data from nutritional tables in PDF format.

Results

Automated Python programs reduced approximately 85% of manual work, totaling 500 hours saved for each wave of data collection. As of January 2022, MenuTracker has 76,405 records from 88 large out-of-home food chains at 4 different time points (ie, March, June, September, and December) in 2021. In constructing the database, we found that one-quarter (24.5%, 256/1043) of large chains, which are likely to be subject to the United Kingdom’s calorie menu labeling regulations, provided their nutritional information online in November 2021. Across these chains, 24.7% (16,391/66,295) of menu items exceeded the UK government’s recommendation of a maximum of 600 kcal for a single meal. Comparable figures were 46.4% (29,411/63,416) for saturated fat, 34.7% (21,964/63,388) for total fat, 17.6% (11,260/64,051) for carbohydrates, 17.8% (11,434/64,059) for sugar, and 35.2% (22,588/64,086) for salt. Furthermore, 0.7% to 7.1% of the menu items exceeded the maximum daily recommended intake for these nutrients.

Conclusions

MenuTracker is a valuable resource that harnesses the power of data science techniques to use publicly available data online. Researchers, policy makers, and consumers can use MenuTracker to understand and assess foods available from out-of-home food outlets. The methods used in development are available online and can be used to establish similar databases elsewhere.
Charting a course for smartphones and wearables to transform population health research (Preprint)
Authors: Dixon William G , van der Veer Sabine N , Ali Syed Mustafa , Laidlaw Lynn , Dobson Richard JB , Sudlow Cathie , Chico Tim , MacArthur Jacqueline A L , Doherty Aiden
Published: September 2022

UNSTRUCTURED

The use of data from smartphones and wearable devices has huge potential for population health research given high device ownership, the range of novel health-relevant data types available from consumer devices, and the frequency and duration over which data are, or could be, collected. Yet the uptake and success of large-scale mobile health research in the last decade has not matched the hyped opportunity. We make the argument that digital person-generated health data is required and necessary to answer many top priority research questions through illustrative examples. We then summarise the findings from two UK initiatives that sought to describe what needs to be done, and in what way, to realise the future opportunities of digital person-generated health data for clinically important population health research.
Hacia una mirada decolonial de “La hispanización” en Letras de la Nueva España, de Alfonso Reyes
Authors: Gómez Goyzueta Ximena
Published: September 2022

Análisis de “La hispanización” y su relación con el ensayo “Introducción: poesía indígena”, incluidos en Letras de la Nueva España (1943-1944) de Alfonso Reyes, a partir de la educación-evangelización de los pueblos originarios de México. La perspectiva se enfoca en la reconstrucción del horizonte cultural desde donde Reyes escribe esta obra, para comprender la recepción que hace de dicho proceso en la Nueva España del siglo XVI y sus implicaciones en la transmisión de la misma. El análisis se contrasta con estudios históricos, antropológicos, literarios y filológicos posteriores. La interpretación parte de los procesos históricos de transmisión-recepción según propone Roger Chartier desde la historia cultural, al igual que de los postulados decoloniales de Walter Mignolo sobre construcción de cánones literarios en el contexto latinoamericano.
Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer
Authors: Jang Wonho , Terashi Koji , Saito Masahiko , Bauer Christian W. , Nachman Benjamin , Iiyama Yutaro , Okubo Ryunosuke , Sawada Ryu
Published: September 2022

There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit counts, connectivity, and coherence times, a quantum circuit optimization is essential to make the best use of near-term quantum devices. We introduce a new circuit optimizer called AQCEL, which aims to remove redundant controlled operations from controlled gates, depending on initial states of the circuit. Especially, the AQCEL can remove unnecessary qubit controls from multi-controlled gates in polynomial computational resources, even when all the relevant qubits are entangled, by identifying zero-amplitude computational basis states using a quantum computer. As a benchmark, the AQCEL is deployed on a quantum algorithm designed to model final state radiation in high energy physics. For this benchmark, we have demonstrated that the AQCEL-optimized circuit can produce equivalent final states with much smaller number of gates. Moreover, when deploying AQCEL with a noisy intermediate scale quantum computer, it efficiently produces a quantum circuit that approximates the original circuit with high fidelity by truncating low-amplitude computational basis states below certain thresholds. Our technique is useful for a wide variety of quantum algorithms, opening up new possibilities to further simplify quantum circuits to be more effective for real devices.
The Effect of Telecommuting on Information Acquisition: Evidence from the U.S. Patent Office
Authors: Baek In Gyun
Published: September 2022

I examine whether telecommuting, a work arrangement in which employees do not travel to a workplace, affects the acquisition of new information in an environment where thorough search and acquisition of information are essential. On the one hand, telecommuting may impede information acquisition due to reduced communication with colleagues. On the other hand, telecommuting may facilitate information acquisition due to relaxed time pressure (via not having to commute) and increased attentional resources (via quieter and uninterrupted working environments). I find employees' acquisition of new information increases following telecommuting. Further, I find that this effect is greater for employees under greater time pressure and employees experiencing greater distractions at the workplace before telecommuting and find that telecommuting causes adverse consequences for employees least responsive to organizations' incentive systems. Finally, I find that work quality improves following telecommuting. My results suggest telecommuting benefits employees performing knowledge-intensive tasks by facilitating employees' information acquisition.
Do Digital Technology Firms Earn Excess Profits? Alternative Perspectives
Authors: Rajgopal Shivaram , Srivastava Anup , Zhao Rong
Published: September 2022

Despite regulators’ allegations that digital technology giants misuse their market power to earn abnormal profits, there is a dearth of systematic work on (1) whether digital-tech firms in general, and tech giants in particular, earn excess profits or (2) whether their abnormal profitability, if any, is due to market power. We use two alternative measures of economic profitability in addition to accounting rate of return (ARR): internal rate of return (IRR), which equates current investments to their long-term payback, and return on invested capital (ROIC), whose numerator (profits) and denominator (invested capital) are adjusted for capitalized intangibles. Inferences based on IRRs differ from those based on ARRs and ROICs. IRRs show that the digital-tech sector is now the best-performing sector, and its gap between profitability and cost of capital has increased over time. We are unable to separate the contribution of market power and innovation to digital tech’s high IRRs.

JEL Classifications: D43; L1; M21; M41.
The Steno Type 1 Risk Engine identifies preclinical atherosclerosis better than the ESC/EASD-2019 Guidelines in adult subjects with type 1 diabetes at high-risk
Authors: Serés-Noriega Tonet , Giménez Marga , Perea Verónica , Boswell Laura , Viñals Clara , Blanco Jesús , Vinagre Irene , Pané Adriana , Esmatjes Enric , Conget Ignacio , Amor Antonio J.
Published: September 2022

  

Objective: To evaluate the concordance between the ESC/EASD-2019 and the Steno Type 1 Risk Engine (Steno-Risk) cardiovascular risk scales in persons with type 1 diabetes (T1D) without cardiovascular disease (CVD), and to analyze their relationships with preclinical atherosclerosis. 

Research design and methods: We consecutively selected patients with T1D, without CVD, with: ≥40 years, nephropathy, or ≥10 years of evolution with another risk factor. The presence of plaque at different carotid segments was determined by ultrasonography. Cardiovascular risk was estimated according to ESC/EASD-2019 risk groups (moderate/high/very-high) and the Steno-Risk (<10%, low; 10-20%, moderate; ≥20%, high), as T1D-specific scores. As an exploratory analysis, the non-T1D-specific ACC/AHA-2013 pooled cohort equation was also evaluated in individuals between 40-79 years.  

Results: We included 501 patients (53% males, age 48.8 years, T1D duration 26.5 years, 41.3% harboring plaques). Concordance between T1D-specific scales was poor (kappa= 0.19). A stepped increase in the presence of plaques according to the Steno-Risk category was seen (18.4%, 38.2% and 64.1%, for low/moderate/high-risk; p for trend<0.001), with no differences according to ESC/EASD-2019 (p=0.130). Steno-Risk identified individuals with plaques, unlike ESC/EASD-2019 (AUC=0.691; p<0.001 vs. AUC=0.538; p=0.149; respectively). Finally, in polynomial regression models (adjusted for lipid parameters and cardioprotective treatment), irrespective of the ESC/EASD-2019 category, high-risk by Steno-Risk was directly associated with atherosclerosis (in moderate/high-risk ESC/EASD-2019: OR 2.91 [1.27-6.72] and 5.290 [2.746-10.189], for the presence of plaque and ≥2 plaques, respectively). Similar results were obtained with discordant higher Steno-Risk vs. ACC/AHA-2013 (p<0.001). 

Conclusions: In T1D patient undergoing primary prevention, Steno-Risk seems to better recognize individuals with atherosclerosis in comparison to ESC/EASD-2019. Notwithstanding, carotid ultrasound could improve the categorization of cardiovascular risk. 
The effectiveness of art therapy to reduce academic stress among students during online learning
Authors: Fitria Linda , Putri Ananda Maha , Fadli Rima Pratiwi , Ifdil Ifdil
Published: September 2022

Many changes have occurred as a result of the COVID-19 pandemic and also be seen in the sphere of education, as learning methods are being transitioned from offline to online learning. These changes cause academic stress among students. Academic stress results in a drop in student learning motivation, and failure to complete lecture assignments on time. The researcher used this phenomena to conduct a one-design group experimental investigation on five academically challenged teenagers. Art therapy was utilized as the intervention, with an academic stress scale tool used to measure its effectiveness. During COVID-19, data collection and intervention operations are carried out directly through the use of health protocols. The Student-t Test is used to analyze the data with the help of Jeffreys' Amazing Statistics Program software. According to the findings of the study, an art therapy intervention was beneficial in reducing student academic stress in online learning.
Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method
Authors: Enggari Sofika , Defit Sarjon
Published: September 2022

An ideal couple should sustain the family's ark till the end of their life without divorce. This study aims at seeking the association between divorce and internet behavior of searching negative keywords. The study observes four keywords, which are porn, sex, gay, and lesbian. We collected keyword usage data from google trend reports and obtained divorce court figures from the Religion Court of Padang. We used the apriori algorithm to reveal the association between divorce and internet behavior observing individual keyword searches and in groups. We used the K-Means algorithm in classifying negative word searches and divorce trial numbers from a group of existing data. We also investigate the combination of the apriori algorithm and the K-Means method to detect divorce facts and the behavior of internet users. The combined method has been successful in revealing the positive association between divorce facts and the behavior of internet users.
Application of the UTAUT Model for Acceptance Analysis of COBIT Implementation in E-Learning Management with Microsoft Teams on Distance Learning in Batam City
Authors: Suwarno Suwarno
Published: September 2022

Since March 2020, due to the COVID-19 pandemic and in line with Merdeka Belajar - Kampus Merdeka, higher education institutions have conducted distance learning in asynchronous and synchronous modes, such as video meetings using Microsoft Teams and provide e-learning. In order to reach the goals and strategies of the higher education institutions, universities implement several control objectives within the COBIT 5 framework, so they can use and manage resources efficiently, provide the best education for students. This study aims to analyze the acceptance level of the COBIT implementation in higher education institutions by using the UTAUT model in E-Learning management, the use of Microsoft Teams and distance learning. This study uses a quantitative approach with a causal explanatory research design. Dissemination of the survey was conducted by simple random sampling at 6 (six) universities in Batam City. This study reveals that E-Learning management, the use of Microsoft Teams, and the application of distance learning together have a significant influence on the implementation of COBIT with an acceptance index of 85.5%, which refers to the satisfying category.
Correlates of perceived success of health-promoting interventions in elementary schools
Authors: O'Loughlin Erin K. , Kalubi Jodi , Riglea Teodora , Pelekanakis Annie , O'Loughlin Jennifer L.
Published: September 2022

Introduction

School-based health-promoting interventions (HPIs) aim to support youth development and positively influence modifiable lifestyle behaviours. Identifying factors that contribute to or hinder the perceived success of HPIs could facilitate their adaptation, improve implementation and contribute to HPI sustainability. The objective of this study was to identify factors in three domains (school characteristics, characteristics of the HPI and factors related to planning and implementing the HPI) associated with perceived success of HPIs among school principals in elementary schools.

Methods

Data were drawn from Project PromeSS, a cross-sectional survey of school principals and/or nominated staff members in a convenience sample of 171 public elementary schools in Quebec, Canada. School board and school recruitment spanned three academic school years (2016–2019). Data on school and participant characteristics, HPI characteristics, variables related to HPI planning and implementation and perceived success of the HPI were collected in two-part, structured telephone interviews. Descriptive statistics were used to characterize schools and study participants. Twenty-eight potential correlates of perceived HPI success were investigated separately in multivariable linear regression modelling.

Results

Participants generally perceived HPIs as highly successful. After controlling for number of students, language of instruction, school neighbourhood and school deprivation, we identified five correlates of perceived success, including lower teacher turnover, higher scores for school physical environment, school/teacher commitment to student health, principal leadership and school being a developer (vs. adopter) of the HPI.

Conclusion

If replicated, these factors should be considered by HPI developers and school personnel when planning and implementing HPIs in elementary schools.
Hubungan Pengetahuan Ibu Tentang Gizi dengan Pertumbuhan dan Perkembangan Motorik Anak Usia 4-5 Tahun Di TK Bethany Happy Holy Kids Medan T.A 2016/2017
Authors: Sirait Devi Monika , Simanjuntak Jasper
Published: September 2022

Penelitian ini dilakukan dengan tujuan untuk mengetahui hubungan antara pengetahuan ibu tentang gizi dengan pertumbuhan dan perkembangan motorik anak usia 4-5 tahun di TK Bethany Happy Holy Kids Medan tahun ajaran 2016/2017. Populasi penelitian ini adalah seluruh anak usia 4-5 tahun 2017TK A Bethany Happy Holy Kids Medan sebanyak 32 anak, sekaligus menjadi sampel dalam penelitian ini.Penelitian ini adalah penelitian korelasional yaitu melihat hubungan antara pengetahuan ibu tentang gizi dengan pertumbuhan dan perkembangan motorik anak, dengan menggunakan metode kusioner (angket) dan pengukuran langsung.Adapun metode yang digunakan untuk menganalisis data dan teknik analisis data korelasi product moment.Dari perhitungan diperoleh hasil fhit> ftabel, hal ini menunjukkan adanya hubungan yang positif anatara pengetahuan ibu tentang gizi dengan pertumbuhan dan perkembangan motorik anka usia 4-5 tahun di TK Bethany Happy Holy Kids Medan.Perhitungan uji t menunjukana bahwa to lebih besar dari ttabel =2,042. Untuk pertumbuhan anak nilai thitung= 40,4 yaitu 40,4 > 2,042. Untuk perkembangan motorik anak nilai thitung= 18,173 yaitu 18,173 > 2,042, yakni “ terdapat hubungan yang signifikan antara pengetahuan ibu tentang gizi dengan pertumbuhan dan perkembangan motorik anak usia 4-5 tahun di TK Bethany Happy Holy Kids Medan”
ANALISIS MOTIVASI BELAJAR SISWA PADA PEMBELAJARAN PJOK KELAS IV SD AL-FURQON
Authors: Santoso Rachmat Budi , Sunanto Sunanto , Nafiah Nafiah , Hartatik Sri
Published: September 2022

Abstract: The background of this research is to describe the efforts and constraints of student learning motivation in which it becomes a question if the PJOK subjects are generally carried out properly and correctly. Therefore, the researcher wants to know the motivation of students if the PJOK subjects take place. The purpose of this study was to analyze students' motivation to learn PJOK at SD AL-FURQON. This type of research uses descriptive qualitative research, the research subjects used are fourth grade students and are clarified by statements to schools, PJOK teachers, and representatives of students' parents. Data collection techniques used are observation, interviews and documentation. Based on the results of research and discussion, the implementation of PJOK learning at SD AL-FURQON, precisely in class IV, has been carried out well, students and educators have used media or sports equipment in the learning process. In the implementation of PJOK learning. However, there are still some obstacles, one of which is boredom, monotony to the mood in doing the assignments given by the teacher. One of the solutions used in dealing with these problems is to provide a stimulus with an individual or group approach to feel comfortable when learning with PJOK. In general, this study was conducted to analyze students' learning motivation towards PJOK learning at SD AL-FURQON.Keywords: Student learning motivation and PJOK learningAbstrak; Latar belakang penelitian ini adalah untuk mendeskripsikan upaya dan kendala motivasi belajar siswa dalam yang mana menjadi sebuah pertanyaan jika mata pelajaran PJOK yang pada umumnya dilakukan secara baik dan benar, Maka dari itu peneliti ingin mengetahui motivasi dari siswa jika mata pelajaran PJOK berlangsung. Tujuan dari penelitian ini untuk menganalisis motivasi belajar siswa terhadap pembelajaran PJOK di SD AL-FURQON. Jenis penelitian ini menggunakan penelitian kualitatif deskripstif, subjek penelitian yang digunakan adalah siswa kelas IV serta diperjelas dengan pernyataan kepada sekolah, guru PJOK, dan perwakilan orang tua siswa. Teknik pengumpulan data yang digunakan yakni observasi, wawancara dan dokumentasi. Berdasarkan hasil penelitian dan pembahasan, pelaksanaan pembelajaran PJOK di SD AL-FURQON tepatnya pada kelas IV telah terlaksana dengan baik, peserta didik dan pendidik telah memanfaatkan media atau peralatan olahraga dalam proses pembelajarannya. Dalam pelaksanaan pembelajaran PJOK. Namun, masih terdapat beberapa kendala salah satunya rasa bosan, monoton hingga mood dalam mengerjakan tugas yang diberikan oleh guru. Adapun solusi yang digunakan dalam menghadapi permasalahan tersebut salah satunya memberikan stimulus dengan pendekatan secara individu ataupun kelompok agar merasa nyaman ketika melakukan pembelajaran dengan PJOK. Simpulan secara umum, penelitian ini dilakukan untuk menganalisiswa motivasi belajar siswa terhadap pembelajaran PJOK di SD ALFURQON.Kata Kunci: Motivasi belajar siswa dan Pembelajaran PJOK
Design and Analysis of Impact Attenuator for UiTM Formula SAE Car 2016
Authors: Assan Naziratie Assrinie , Ab Ghani Amir Radzi , Ramly Ramzyzan , Hassan M.A.
Published: September 2022

Formula SAE is an international student design competition which is held in various parts of the world that challenges students to conceive, design, fabricate and test a single seater race car. Teams are evaluated based on business and technical presentations and dynamic performance of their cars. One of the important requirements of the Formula SAE car is its impact attenuator. It must be designed to absorb the specified impact energy. It is placed at the front of the car to protect the driver in the event of frontal collision. A new impact attenuator design which consists of aluminium circular tubes and L-sections arranged in a specified configuration is proposed. The attenuator is subjected to static and impact loads to determine its initial peak force (IPF), crush force efficiency (CFE) and specific energy absorption (SEA). Simulation result for static loading is validated by experiment. Minimum absorbed impact energy of 7350 J with peak acceleration of less than 40g and mean deceleration of 20g as specified in Formula SAE regulations is achieved. Impact simulation result also confirms that the impact attenuator is able to fulfil the requirements.
Honeycomb Carbon Sandwich Composite Panel Under Compressive Load Flat-wise: Experimental Analysis
Authors: Ramly Ramzyzan , Kuntjoro Wahyu , Ab Ghani Amir Radzi
Published: September 2022

This article is an experimental study of honeycomb core carbon skin sandwich composite panel using American Standards for Testing Materials, ASTM Standards C365/C365M-11a for honeycomb structure flatwise compressive strength. The objective of this article is to describe the process of validation done in the specimens prepared in the research are, to have consistency in terms of the strength and other mechanical properties and to ensure the materials prepared in the lab and can be applied for aviation application (aircraft control surface) later. The samples were prepared in accordance with aviation industry standards using the aviation industry materials at the approved facility (Malaysian Airlines Composite workshop in Subang). The experiment was conducted using the Instron 8802 UTM by following the ASTM Standards at the Faculty of Mechanical Engineering, University Teknologi MARA. From the experiment in accordance with the test standard, the results of the experiment showed the consistency in terms of strength of the specimen. The ultimate strength was found at the average 5.88 kN.
Caddisflies (Trichoptera) of the Mecsek Mountains, South Hungary
Authors: Uherkovich Ákos , Nógrádi Sára
Published: September 2022

The Mecsek Mountains, with a maximum of 680 m high elevations, are surrounded by low rolling countryside and lowlands. In this area 98 caddisfly species were found. An endemic taxon, Chaetopteryx rugulosa mecsekensis Nógrádi was also found here. Populations of some species have survived far from their continuous distribution area. The only Hungarian population of Plectrocnemia minima Klap. lives here, the population actually being endangered. The occurrence of this species shows zoogeographical connections with the Balkans, while the presence of two other species here (Synagapetus krawanyi Ulmer and Rhyacophila hirticornis McL.) represents their southeastemmost occurrence within their range in the Alpin area. Further eleven species have isolated occurrences as they do not live in the surrounding lowlands and low rolling countryside.
A kuvik (Athene noctua) táplálék-összetétele egy Somogy megyei külvárosi élőhelyen
Authors: Lanszki József
Published: September 2022

In this study, the diet composition and food habits of little owls were studied by means of pellet analysis. Vertebrate preys were identified on the basis of bone or teeth and special hair morphology; earthworms by the occurrence of chaetae in the pellets, while other invertebrate preys by morphology. The main food of the little owls consisted of various invertebrates (mainly beetles and earthworms). Secondarily important small mammals occurred in great variability in the pellets. The consumption of plants was important. With 2 figures and 3 tables.
Az eurázsiai hód (Castor fiber) újabb előfordulása Somogy megyében
Authors: Lanszki József , Horváth Győző
Published: September 2022

The protected European beaver, due to results of repatriation programmes, also spontaneously appeared in Hungary. These individuals may reached Hungary from the populations of neighbour countries (Austria, Croatia) by spreading. Occurrence of beaver was only detected in one point, on the watersmeet of Drava and Mura rivers, during monitoring the Somogy county wetlands of Danube-Drava National Park and only one inner-somogy occasion is known. The study is illustrated with 4 pictures.
Somogy szántóföldi gyomvegetációja
Authors: Pinke Gyula , Pál Róbert
Published: September 2022

This paper describes the weed communities of Somogy region based on 159 phytosociological records. The following units have been distinguished: Camelino microcarpae-Anthemidetum austriacae, Aphano arvensis-Matricarietum chamomillae and Spergulo arvensis-Anthemidetum ruthenicae as summerassociations, Stachyo annuae-Setarietum pumilae, Echinochloo-Setarietum pumilae, Digitario-Setarietum pumilae and Trifolium arvense-Ambrosia artemisiifolia-commumty as autumn-associations.
Impact of Cutting Units’ Design on Biomass Cutting Resistance
Authors: Zastempowski Marcin , Bochat Andrzej , Hujo Lubomir , Jablonicky Juraj , Janiec Maciej
Published: September 2022

The paper presents mathematical models describing the moments of resistance to cutting on the cutting drum shafts in the biomass cutting process. The mathematical procedures described in the paper have been verified on a test stand developed and constructed by the authors, which reflects real conditions of the process of cutting plant material into pieces of specified lengths. Experimental verification proved that the developed mathematical models are adequate for drums of both cylindrical and conical constructions. The value of the average error did not exceed 13%. Following the mathematical elaboration and verification studies, the authors carried out calculations for machines currently available on the market that are equipped with drum cutting units. The calculations were carried out for the most commonly cut material, i.e. for maize, straw and green plant materials. The obtained results confirm the complexity of the problem arising from a wide range of numerical values of cutting resistance, which is contained in the range of 400–1,800 nm. The compiled database can be practically applied in the selection of machines for specific field works, and the mathematical models developed and verified in the study can be applied at the stage of designing new designs of cutting drums used in forage harvesters.
Nonlinear Vibration Analysis of Beam and Plate with Closed Crack: A Review
Authors: Tewelde Samrawit A. , Krawczuk Marek
Published: September 2022

The effect of nonlinearity is high sensitivity in damage detection, especially for closed cracks and delamination. This review illustrates the results of several researchers dealing with nonlinear effects caused by the closure of cracks in the structure, i.e., beam and plate structures. Early detection of damage is an important aspect for the structure and, therefore, continuous progress is being made in developing new and effective methods that use nonlinear effects for early detection of damage and barely visible cracks, i.e., closed cracks and delamination, as well as for the determination of crack size and location. After analysing various methods, the merits, drawbacks and prospects of a number of nonlinear vibration methods for structural damage detection are discussed, and recommendations are made for future researchers.
Relationship between quality parameters and fertilizing ability of cryopreserved sexed bull sperm
Authors: Gogol Piotr , Trzcińska Monika
Published: September 2022

The aim of the experiment was to assess the correlation between sperm quality parameters and field fertility after AI with sex-sorted (X-bearing) bull semen. A total of 32 ejaculates from 26 Holstein-Friesian bulls were analyzed to assess sperm motility parameters (CASA), viability (SYBR-14/PI), apoptotic-like changes (YO-PRO-1/PI), chromatin structure (SCSA), and ATP content. In order to determine sperm fertilizing ability, 816 heifers and 727 cows were inseminated. Ultrasound diagnosis of pregnancy was performed on day 35 after insemination. For each ejaculate, the percentage of pregnant females was calculated separately. The results revealed that the pregnancy rate ranged from 20.0 to 85.7% for heifers and from 7.7 to 66.7% for cows. On the basis of the pregnancy rate (PR) obtained, the ejaculates were divided into 3 groups: high PR (about 25% of ejaculates), medium PR (about 50% of ejaculates) and low PR (about 25% of ejaculates). Significant differences were detected for amplitude of lateral head displacement (ALH) and beat cross frequency (BCF) between high- and low-fertility ejaculates in heifers. Pearson’s correlation analysis showed a significant relationship between the BCF and the pregnancy rate for heifers (r = 0.53, P<0.01) and there was a trend towards significance for ALH (r = −0.37, P = 0.07). There was no relationship between the sperm quality parameters and pregnancy rate of cows. In conclusion, the present study identified markers of sexed bull sperm function that were related to the fertility of inseminated heifers.
Effects of a Commercial Feed Additive (Sanacore® GM) on Immune-Antioxidant Profile and Resistance of Gilthead Seabream (Sparus aurata) Against Vibrio alginolyticus Infection
Authors: Abdel-Tawwab Mohsen , Selema Talal A.M. Abo , Abotaleb Mahmoud M. , Khalil Riad H. , Sabry Nader M. , Soliman Ashraf M. , Eldessouki Elsayed A.A.
Published: September 2022

The effects of a functional additive (Sanacore® GM; SAN) on immune and antioxidant indices, and the resistance of gilthead seabream (Sparus aurata) against Vibrio alginolyticus infection were investigated. For this, four diets containing 0% (the control), 0.1%, 0.2%, and 0.4% SAN were offered to triplicated groups of fish (20–23 g) for ten weeks. Subsequently, fish were injected intraperitoneally with V. alginolyticus and monitored for further ten days. Feeding the fish on SAN-supplemented diets showed positive effects on leukocyte counts and its differential percentages. Serum lysozyme activity and total immunoglobulin values, as well as blood phagocytic activity and indices, were linearly and quadratically higher in SAN-fed fish, especially at the 0.4% SAN diet. Similarly, linear and quadratic increases in catalase, superoxide dismutase, and total antioxidant capacity were observed in SAN-fed fish, particularly at the 0.4% SAN diet. Conversely, malondialdehyde values decreased in SAN-fed fish compared with the control group, which showed its highest value. The highest expression of the IL-1β gene coupled with the lowest TNF-α and HSP70 genes expressions was found in the fish fed with the 0.4% SAN. On the other hand, fish fed on the control diet showed the lowest IL-1β gene coupled with the highest TNF-α and HSP70 genes expressions. After bacterial infection, most of the control fish died with a relative percent of survival of 5.0%; meanwhile feeding gilthead seabream on SAN-enriched diets significantly enhanced their protection against V. alginolyticus infection fed on the 0.4% SAN diet showed 100% survival. The SAN administration to gilthead seabream especially at the 0.4% level led to significant promotions in antioxidative and immune responses and augmented the fish resistance to V. alginolyticus infection.
Carbohydrate Rinse Fails to Enhance Cycling Performance or Alter Metabolic and Autonomic Recovery in Recreational Cyclists
Authors: Williamson-Reisdorph Cassie , Bechke Emily , McLester Cherilyn , Buresh Robert , Millard-Stafford Melinda , Green Zackery , Rooks Rasmus , Nickerson Brett , Kliszczewicz Brian
Published: September 2022

The purpose of the study was to examine the effects of carbohydrate (CHO) mouth rinsing on autonomic and metabolic recovery as well as cycling performance. Ten male recreational cyclists (age = 30 ± 6 years, VO2peak = 54.5 ± 8.1 mL·kg-1·min-1) completed a randomized, double-blind, placebo-controlled, crossover designed study. A CHO or a placebo (PLA) rinse was administered every 12.5% of a work to completion trial (75%Wmax). Heart rate variability (lnRMSSD), the respiratory exchange ratio, and plasma epinephrine, norepinephrine, insulin, glucose, free fatty acids (FFA), and lactate were measured pre- and post-exercise. The CHO rinse did not improve time to completion of the test trial (CHO: 4108 ± 307 s, PLA: 4176 ± 374 s, p = 0.545). Further, the CHO rinse did not impact autonomic recovery, as measured by lnRMSSD (p = 0.787) and epinephrine (p = 0.132). Metabolic biomarkers were also unaffected by the CHO rinse, with no differences observed in responses of FFA (p = 0.064), lactate (p = 0.302), glucose (p = 0.113) or insulin (p = 0.408). Therefore, the CHO mouth rinse does not reduce the acute sympathetic response following strenuous exercise and does not result in improvements in cycling time to completion.
External Workload Compared Between Competitive and Non-Competitive Matches for Professional Male Soccer Players
Authors: Asian-Clemente Jose , Requena Bermardo , Owen Adam , Santalla Alfredo
Published: September 2022

The purpose of this study was to compare the external load in competitive (official) and non-competitive matches (friendly, training and modified-sided games) in professional soccer players. Time-motion data for 10 elite male soccer players (age = 20.1 ± 2.1 years; body height = 178.8 ± 5.9; body mass = 71.4 ± 7.3; % body fat = 11.0 ± 1.1 and VO2max = 55.96 ± 3.3) from a professional Spanish first division team were recorded during official (n = 12), friendly (n = 7) and training (n = 6) matches and a 5 vs. 5 + goalkeepers modified-sided game (n = 3). GPS devices were used to monitor players’ external loads: total distance covered, distance covered at different speeds (<13.9 km·h-1, >14, >18, >21 and >25 km·h-1), peak speed (km·h-1), and the number of accelerations and decelerations (1.5–2.5 m·s-2, 2.5–4 m·s-2 and 4–8 m·s-2). One-way analysis of variance of the magnitude-based inference was used to determine differences between matches. Data indicated that official matches scored statistically higher peak speeds (ES = 1.40–2.20). In modified-sided games more total distance was covered at <13.9 km·h-1 and >14 km·h-1 than in regular matches (ES = 0.72–2.21), but lower distances were covered at >21 km·h-1 and >25 km·h-1 than in official and friendly matches (ES = 0.51–2.53) and at >25 km·h-1 than in training matches (ES = 0.92). Likewise, the modified-side games showed a greater number of accelerations and decelerations than other types of matches (ES = 1.46–2.51). This work shows that friendly and training matches, in conjunction with modified-side games, are suitable tools to prepare soccer players for official matches.