bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of different rates of sawdust - piggery compost on soil properties and yield of maize in nutrient depleted soil
Authors: Stephen Okhumata Dania  , Adebimpe Omowumi Ayegbe  , Bright Ehijiele Amenkhienan
Published: August 2021

Compost is an important source of organic fertilizer that can be used to amend degraded soil to improve soil nutrient and crops yield. This experiment was to evaluate the effect of sawdust – piggery compost on soil properties, growth and yield of maize and it was carried out at the Ambrose Alli University Teaching and Research Farm, Emaudo, Ekpoma, Edo State. The experiment was fitted in a Randomized Complete Block Design (RCBD) with seven treatments and three replicates. The treatments were; control (0), 2, 4, 6, 8, 10 and 12 tonnes of sawdust – piggery compost per hectares (ha-1). Data collected were analysed using ANOVA and LSD was used to separate means. Soil nutrients were below critical levels and the application of compost improved fertility status of the soil. Growth parameters, dry matter yield, cob weight, grain yield and nutrient uptake were determined. It was observed that application of Sawdust – piggery compost significantly (p 0.05) increased the growth of maize compared to control. The application of 8 to 12 tonnes of sawdust – piggery compost significantly (p 0.05) increased the plant height, leaf area and stem girth of maize compared to other treatments. The application of 8 to 12 tonnes per hectares (ha-1) of sawdust – piggery compost significantly (p 0.05) increased the cob weight, grain and dry matter yield of maize compared to other treatments, however, the application of 10 t ha-1 of compost to maize increased grain yield of maize than others rate of applications with the yield value of 4.60 t ha-1. The uptake of nitrogen, phosphorus and potassium were higher with application of 12 tonnes of compost. In conclusion, the application rates of 10 t ha-1 of sawdust – piggery compost per hectare on nutrient depleted soils will improve the growth and yield of maize.
Performance of soybean genotypes (Glycine Max L.) against Asian rust (Phakopsora Pachyrhizi Syd.) in Cameroon
Authors: Fabrice Christian Gbaporo Gbaporo  , Alain Heu  , Serge Bertrand Mboussi  , Patrice Zemko Ngatsi  , William Norbert Tueguem Kuate  , Sylvere Landry Lontsi Dida  , Stephane Kamtchoum  , Zachée Ambang
Published: August 2021

Asian rust caused by Phakopsora pachirhizi, which is a major constraint to production of soybean, causing 90% yield losses in field. Synthetic fungicides used to control this disease are environmentally degrading and have negative impact on the health of producers and consumers. The use of resistant soybean genotypes can be an effective control alternative. The aim of this work is to evaluate the tolerance of soybean varieties to Asian rust disease under natural conditions. Forty-three soybean varieties were screened using a completely randomized block design with three replicate. Incidence and severity of disease at 6, 8 and 10 weeks after sowing (WAS) and yields were evaluated. Results show that disease incidence of Asian rust was significantly higher in the local variety R3 (16.67%; 29.63%; 75.93%) at 6, 8 and 10 WAS respectively. At 6 and 8 WAS severity of disease was higher in local variety R3 (21.17% and 24.14% respectively). The variety TGX-2010-12F has the highest yield (1.17 t ha-1) than the local variety R3 (0.17 t ha-1). Principal component analysis realized with incidence, severity of disease at 6, 8, 10 WAS and yield shows that 12 varieties are highly susceptible to Asian rust, 12 varieties are moderately resistant, and 19 varieties are susceptible. This study shows that Asian rust attacks all soybean varieties in the field. Moderately resistant varieties, can be advised to growers with appropriate protection methods or be subject to varietal improvement through genetic techniques.
DATA QUALITY CONSIDERATIONS FOR PETROPHYSICAL MACHINE LEARNING MODELS
Authors:   Lloyd’s Register, McDonald Andrew
Published: August 2021

Decades of subsurface exploration and characterisation have led to the collation and storage of large volumes of well related data. The amount of data gathered daily continues to grow rapidly as technology and recording methods improve. With the increasing adoption of machine learning techniques in the subsurface domain, it is essential that the quality of the input data is carefully considered when working with these tools. If the input data is of poor quality, the impact on precision and accuracy of the prediction can be significant. Consequently, this can impact key decisions about the future of a well or a field. This study focuses on well log data, which can be highly multi-dimensional, diverse and stored in a variety of file formats. Well log data exhibits key characteristics of Big Data: Volume, Variety, Velocity, Veracity and Value. Well data can include numeric values, text values, waveform data, image arrays, maps, volumes, etc. All of which can be indexed by time or depth in a regular or irregular way. A significant portion of time can be spent gathering data and quality checking it prior to carrying out petrophysical interpretations and applying machine learning models. Well log data can be affected by numerous issues causing a degradation in data quality. These include missing data - ranging from single data points to entire curves; noisy data from tool related issues; borehole washout; processing issues; incorrect environmental corrections; and mislabelled data. Having vast quantities of data does not mean it can all be passed into a machine learning algorithm with the expectation that the resultant prediction is fit for purpose. It is essential that the most important and relevant data is passed into the model through appropriate feature selection techniques. Not only does this improve the quality of the prediction, it also reduces computational time and can provide a better understanding of how the models reach their conclusion. This paper reviews data quality issues typically faced by petrophysicists when working with well log data and deploying machine learning models. First, an overview of machine learning and Big Data is covered in relation to petrophysical applications. Secondly, data quality issues commonly faced with well log data are discussed. Thirdly, methods are suggested on how to deal with data issues prior to modelling. Finally, multiple case studies are discussed covering the impacts of data quality on predictive capability.
REAL-TIME 3D IMAGING OF COMPLEX TURBIDITIC RESERVOIR ARCHITECTURE
Authors:   Halliburton, Sinha Supriya , Riofrio Karol ,   Halliburton, Walmsley Arthur ,   Halliburton, Clegg Nigel ,   Halliburton, Sviland-Østre Stig ,   Aker Bp, Gueze Nicolas ,   Aker BP
Published: August 2021

Siliciclastic turbidite lobes and channels are known to exhibit varying degrees of architectural complexity. Understanding the elements that contribute to this complexity is the key to optimizing drilling targets, completions designs and long-term production. Several methods for 3D reservoir modelling based on seismic and electromagnetic (EM) data are available that are often complemented with outcrop, core and well log data studies. This paper explores an ultra-deep 3D EM inversion process during real-time drilling and how it can enhance the reservoir understanding beyond the existing approaches. The new generation of ultra-deep triaxial EM logging tools provide full-tensor, multi-component data with large depths of detection, allowing a range of geophysical inversion processing techniques to be implemented. A Gauss-Newton-based 3D inversion using semi-structured meshing was adapted to support real-time inversion of ultra-deep EM data while drilling. This 3D processing methodology provides more accurate imaging of the 3D architectural elements of the reservoir compared to earlier independent up-down, right-left imaging using 1D and 2D processing methods. This technology was trialed in multiple wells in the Heimdal Formation, a siliciclastic Palaeocene reservoir in the North Sea. The Heimdal Fm. sandstones are generally considered to be of excellent reservoir quality, deposited through many turbiditic pulses of variable energy. The presence of thin intra-reservoir shales, fine-grained sands, heterolithic zones and calcite-cemented intervals add architectural complexity to the reservoir and subsequently impacts the fluid flow within the sands. These features are responsible for heterogeneities that create tortuosity in the reservoir. When combined with more than a decade of production, they have caused significant localized movement of oil-water and gas-oil contacts. Ultra-deep 3D EM measurements have sensitivity to both rock and fluid properties within the EM field volume. They can, therefore, be applied to mapping both the internal reservoir structure and the oil-water contacts in the field. The enhanced imaging provided by the 3D inversion technology has allowed the interpretation of what appears to be laterally stacked turbidite channel fill deposits within a cross-axial amalgamated reservoir section. Accurate imaging of these elements has provided strong evidence of this depositional mechanism for the first time and added structural control in an area with little or no seismic signal.
INTEGRATED EVALUATION OF LAMINATED SAND-SHALE GAS-BEARING RESERVOIR USING TENSOR MODEL: A CASE STUDY COMBINING DATA FROM TRIAXIAL RESISTIVITY, IMAGE, SONIC, AND RESERVOIR TESTING IN B-FIELD, MALAYSIA
Authors:   Halliburton, Wijaya Aditya Arie , Wu Ivan Zhia Ming ,   Halliburton, Parashar Sarvagya ,   Halliburton, Iffwad Mohammad ,   Halliburton, Yaakob Amirul Afiq B ,   Petronas Carigali, Tolioe William Amelio ,   Petronas Carigali, Sidid Adib Akmal Che ,   Petronas Carigali, Bt. Ahmad Nadhirah ,   Petronas Carigali
Published: August 2021

In recent years, the development of frontier areas brings added challenges to formation evaluation, especially thinly bedded reservoirs. It is challenging to evaluate such reservoirs due to the low resistivity values and high shale volume, which masks the contrast between water and hydrocarbon zones. Using conventional approaches in these types of reservoirs will underestimate the hydrocarbon potential and reserves estimates. A study has been carried out of the thin-bed laminated reservoir in B-field using the tensor model technique to assess the hydrocarbon potential. Additional data from borehole imaging and sonic logs are critical for enhancing the evaluation of hydrocarbon potential and complements the result of the tensor model evaluation. The study was conducted to calculate the sand resistivity and sand porosity using a combination of the tensor model and the Thomas-Stieber model. The tensor model uses acquired horizontal and vertical resistivities, while the Thomas-Stieber model uses the calculated shale volume and porosity. One of the main parameters in the tensor model is shale resistivity, which upon analysis, varies across many shale sections in the well. This uncertainty is reduced by picking multiple shale resistivity values based on borehole image facies analysis. The VPVS ratio technique and Brie’s plot using compressional and shear travel time are used as a qualitative analysis that indicates the same gas-bearing interval. The tensor model calculations improve hydrocarbon saturation by a range of 4-21%, depending on sand thickness and shale volume, which increases the net to gross by more than 20%. The borehole image facies analysis helps to objectively pick the shale resistivity parameters to avoid subjective interpretation and underestimating the pay. A qualitative approach using sonic data helps to identify the potential gas-bearing interval and complement the previous tensor model interpretation. Although all interpretation methods indicate a similar gas-bearing interval that correlates with the mudlog total gas reading, the combination of the tensor and Thomas-Stieber method with image constrained shale resistivities gives the most definitive gas saturation and net pay The novelty of this study is to showcase two things. First is the application of combined tensor and Thomas-Stieber model in a laminated reservoir, with image constrained shale resistivity for improved gas saturation and net pay. The second is to highlight the use of gas-sensitive sonic data to confirm the gas saturated interval.
3D PETROPHYSICS FOR HAWE: CASE STUDIES
Authors:   GazpromNeft, Kolomytsev Alexander , Pronyaeva Yulia Pronyaeva ,   Schlumberger
Published: August 2021

Most conventional log interpretation technics use the radial model, which was developed for vertical wells and work well in them. But applying this model to horizontal wells can result in false conclusions. The reasons for this are property changes in vertical direction and different depth of investigation (DOI) of logging tools. DOI area probably can include a response from different layers with different properties. All of this complicates petrophysical modeling. The 3D approach for high angle well evaluation (HAWE) is forward modeling in 3D. For this modeling, it is necessary to identify the geological concept near the horizontal well section using multiscale data. The accuracy of modeling depends on the details of the accepted geological model based on the data of borehole images, logs, geosteering inversion, and seismic data. 3D modeling can be applied to improve the accuracy of reservoir characterization, well placement, and completion. The radial model is often useless for HAWE because LWD tools have different DOI and the invasion zone was not formed. But the difference between volumetric and azimuthal measurements is important for comprehensive interpretation because various formations have different properties in vertical directions. Resistivity tools have the biggest DOI. It is important to understand and be able to determine the reason for changes in log response: a change in the properties of the current layer or approaching the layers with other properties. For this, it is necessary to know the distance to the boundaries of formations with various properties and, therefore, to understand the geological structure of the discovered deposits, and such information on the scale of well logs can be obtained either by modeling or by using extra deep resistivity inversion (mapping). The largest amount of multidisciplinary information is needed for modeling purposes - from images and logs to mapping and seismic data. Case studies include successful examples from Western Siberia clastic formations. In frame of the cases, different tasks have been solved: developed geological concept, updated petrophysical properties for STOIIP and completion, and provided solutions during geosteering. Multiscale modeling, which includes seismic, geosteering mapping data, LWD, and imagers, has been used for all cases.
Hubungan Parasosial dan Perilaku Loyalitas Fans dalam Fandom KPop di Indonesia
Authors: Perbawani Pulung Setiosuci , Nuralin Almara Jati
Published: August 2021

This paper investigates fandom as a phenomenon of communication science through an interdisciplinary perspective, especially in relation to the psychology discipline of communication and consumer behavior. The researcher seeks to investigate the correlation between parasocial relationships (Parasocial relationships/PSR) and fan loyalty behavior, specifically the consumption behavior of the brands and products associated with their idols. The research will be carried out using survey methods, with PSI Process Scale to measure parasocial relationship variables, and commitment models to measure fan loyalty behavior. From the questionnaires distributed online, 271 valid questionnaires were obtained which were analyzed using mean analysis, correlation test, and cross tabulation analysis. The results showed that there was a significant relationship between parasocial relationships and fan loyalty. The results also show that the closest relationship is shown by the behavioral dimension with the interaction dimension, while the relationship with the lowest score is shown by the relationship between the perceptual-cognitive dimension and desire to acquire.
PROBLEMS OF DOMESTIC PRODUCTION OF STRATEGICALLY SIGNIFICANT ANTI-RETROVIRAL DRUGS
Authors: Ryzhova O.A. , Moroz T. L.
Published: August 2021

Purpose. The aim of the study was to assess the problems of providing patients with HIV in the Russian Federation with antiviral drugs of the ATС group – J05AF (nucleosides and nucleotides - reverse transcriptase inhibitors) included in the list of strategically important drugs, and the prospects for its improvement. Materials and methods. The scientific research was carried out sequentially and included four interrelated stages. The objective of the first stage was to analyze the auctions for public procurement of antiretroviral drugs of the ATС- J05AF group for 6 INNs included in the list of strategically important drugs. The task of the second stage of the work was a comparative analysis of the dynamics of the range of antiretroviral drugs and substances for their production, registered in the Russian Federation, of the ATС group - J05AF by 6 INN. At the third stage, an analysis was made of the availability of interchangeable drugs for each INN. The objective of the fourth stage was to analyze the registered prices for domestic and foreign medicines for each INN. Results. It was found that by 2020 the share of domestic drugs was 63% of the planned 90%. In the Russian Federation, only 4 manufacturers in a limited range produce drugs for the treatment of HIV-infected patients. For individual INNs, domestic substances are completely absent, or are produced in insufficient quantities, which forces manufacturers to purchase pharmaceutical substances from the same enterprises, mainly in China and India. In the State Register of Medicines by 2020, for various INNs, interchangeable medicines appeared, the price of which does not differ statistically significantly, nevertheless, 91% of auctions in 2018 were held with a single supplier. Such a result of the auctions is difficult to explain, since the price of interchangeable drugs in the ATС - J05AF group does not differ statistically significantly between domestic and foreign manufacturers. Conclusion: In order to increase the level of import substitution of strategically important antiretroviral drugs, it is necessary, first of all, to solve the problem of providing Russian manufacturers with domestic pharmaceutical substances.
Keanekaragaman jenis ikan di sungai Lempake Tepian kecamatan Sungai Pinang kota Samarinda
Authors: Purwati Sri , Masitah Masitah , Budiarti Sinta , Aprilia Yeni
Published: August 2021

Penelitian ini bertujuan untuk mengetahui keanekaragaman jenis ikan di Sungai Lempake Tepian kecamatan Sungai pinang Kota Samarinda. Ikan-ikan di Sungai ini  digunakan dikonsumsi oleh masyarakat. Perubahan kualitas air sungai menyebabkan adanya penurunan tingkat populasi dan spesies ikan di sungai tersebut.  Pengambilan sampel secara purposive sampling yang dibagi menjadi 3 lokasi yakni sungai bagian hulu, tengah dan hilir. Berdasarkan analisis data indeks keanekarangan (H) 1.969 dikategorikan sedang, kemelimpahan relatif ikan seluang (29.8%), ikan sapu-sapu 27.35%, puyau (19.33%), ikan puyau (19.33%), ikan sepat (16.50%) dan ikan nila (7.07%). Indeks keseragaman (e) sebesar 0.394 dikategorikan sedang dan indeks Dominansi (C) jenis ikan di Sungai Lempake Tepian Kota Samarinda sebesar 0.04 maka dapat disimpulkan tidak ada spesies yang mendominasi di Sungai Lempake Tepian Kota Samarinda.
Design and Built a Prototype Kit for Fire Detection in a Peat Swamp Forest: A Preliminary Results
Authors:   Universiti Tun Hussien Onn Malaysia, Hamzah Shipun Anuar , Dalimin Mohd Noh ,   Universiti Tun Hussien Onn Malaysia, Md Som Mohamad ,   Universiti Tun Hussien Onn Malaysia, Talib Rahmat ,   Universiti Tun Hussien Onn Malaysia, Utomo Wahyu Mulyo ,   Universiti Tun Hussien Onn Malaysia, Ramli Khairun Nidzam ,   Universiti Tun Hussien Onn Malaysia, Abd Jamil Ansar ,   Universiti Tun Hussien Onn Malaysia, Zainal Mohd Shamian ,   Universiti Tun Hussien Onn Malaysia, Sanusi Mohd Hamim ,   Universiti Tun Hussien Onn Malaysia, Mustapa Mohammad Sukri ,   Universiti Tun Hussien Onn Malaysia, Yusoff Nor Azizi ,   Universiti Tun Hussien Onn Malaysia
Published: August 2021

Peat forest fire detectors need to be developed immediately due to the frequency of peat forest fires in Malaysia during the summer is very high. This can affect the life in the forest and the health of the surrounding population. Among them is the Ayer Hitam Muar Forest Reserve, Johor which is almost 50,000 acres in size and experiences fires every year. However, fire monitoring management methods still need to be improved in terms of speed, accuracy and systematic channeling fire alerts. Apart from location and area factors, the main challenge of the early fire detection process is the lack of manpower to monitor and notify fires. The conventional method through patrols and phone calls from farmers who see a fire is less effective because of the delay in the notification received by the authorities. Initially, the work of identifying the location of the fire and measuring the signal strength of the telco service in the Forest Reserve was done with the help of rangers from the Muar district forestry department. This article proposes a prototype for detecting peat forest fires capable of monitoring and sending early fire notifications using a smartphone. The prototype uses an ESP32 microcontroller, GSM/GPRS modem and industry-standard sensors incluing smoke, temperature, humidity and motion detectors. A total of five prototype units were developed as sensor nodes (SN) 1 to 5 with unique IDs that can send information to UTHM web servers simultaneously. Data from each SN is displayed in real-time while notifications of smoke detection and motion alerts are sent to the authorities via the Telegram application. Solar panels are used as a source of electricity supply while the authorities can access information via smartphones. This prototype was tested to see its stability and operational accuracy while the data obtained were recorded. The developed system can help the authorities detect fires at an early stage and the location of the fire can be known based on the SN information received on the smartphone screen.
Ethno-ornithology of Temuan Community in Ledang, Johor
Authors:   Universiti Tun Hussein Onn Malaysia, Binti Norazlimi Nor Atiqah , Binti Mohd Sarif Amirah ,   Universiti Tun Hussein Onn Malaysia
Published: August 2021

Ethno-ornithology is the study of the relationship between people and birds. It is a natural scientific approach that explains the relationship between people’s knowledge and the use of birds in their culture. Temuan community is one of the aborigine ethnics in Malaysia. They practice lifestyles that closely associated with nature. Therefore, this study aimed to investigate the ethno-ornithology knowledge and practice by Temuan Community lived around the Gunung Ledang National Park, Johor, Malaysia. A set of questionnaires was distributed to 40 respondents from the Temuan community to gather the information of birds used in their daily activities. In addition, the information was also obtained from the interview session with the head of the village (Tok Batin). The identification of the birds obtained from the questionnaire and interview was further confirmed by using reliable resources. A total of 29 bird species was successfully identified. Temuan community used birds in their daily life in many ways such as, food, pet, folklore, entertainment, and many more. Understanding ethno-ornithology between local community and avifauna is good as it helps conservationists to keep track of bird species they use and identify the sustainable ways of this practice that align with the conservation of avifauna species.
Feeding Regime and Management of Captive Saltwater Crocodile, Crocodylus Porosus in Kota Tinggi, Johor
Authors:   Universiti Tun Hussein Onn Malaysia, Najmuddin Mohd Faudzir , Hassem Siti Hasmaliza ,   Universiti Tun Hussein Onn Malaysia, Mohd Hauri Nurhizatul Safikah ,   Universiti Tun Hussein Onn Malaysia, Zahari Fatin ,   Universiti Tun Hussein Onn Malaysia, Othman Nursyuhada ,   Universiti Tun Hussein Onn Malaysia, Haris Hidayah ,   Universiti Tun Hussein Onn Malaysia, Abdul-Latiff Muhammad Abu Bakar ,   Universiti Tun Hussein Onn Malaysia
Published: August 2021

Crocodylus porosus is the largest species of crocodile and can be found in estuarine and riverine area in Malaysia. Crocodile in captivity can be found in Malaysia for various purposes such as tourism, conservation and leather industry. However, the management practice in established crocodile farm varies across park for example in terms of feeding regime. Thus, this study focusses on the feeding regime of C. porosus in captivity and evaluation of management of crocodile of Teluk Sengat Crocodile Farm. This study was carried out for 35 days in two different ponds of Teluk Sengat Crocodile Farm, Kota Tinggi, Johor. The results show majority of the food given to crocodile were chicken (64%), followed by fish (28%) and prawn (8%). Prawn was only given to juvenile crocodile every day, while fish and whole chicken were given to adult crocodile once a week. The feeding frequency are adequate for the juvenile crocodile however, the feeding quantity for adult pond are worrying. Future research should be conducted on other captive population of C. porosus in other areas in Malaysia as well to better understand the overall management practices in Malaysia.
A Short Review on Recent Development of Laccase Immobilization on Different Support Materials
Authors:   Universiti Teknologi Malaysia, Ahmad Jafri Norsyafiqah Amalina , A. Rahman Roshanida ,   Universiti Teknologi Malaysia, Ali Noorhalieza ,   Universiti Teknologi Malaysia
Published: August 2021

Laccase is a bio catalytic agent and multi-copper enzyme containing oxidases that are potentially great for oxidizing large number of phenolic and non-phenolic compounds. However, drawbacks do arise when laccase use in large scale; low in stability, high production cost, non-reusability, sensitive towards denaturing and poor storage ability of free enzymes. These problems lead to the progress in laccase immobilization in order to facilitate the efficient recovery and re-use of the enzyme, thus enabling cost-effective in continuous processes. Apart from discussing on different methods in laccase immobilization such as entrapment, encapsulation and cross-linking in general, we have reviewed a recent development in laccase immobilization on different supports or carriers binding (natural and synthetic). Future works are recommended to focus on innovative strategies on the modified supports to improve the enzyme immobilization as well as sensible entrapment techniques for industrial applications.
Peran Guru dalam Meningkatkan Motivasi Belajar Siswa Kelas 2 SDN 010 Salutabang
Authors: Arwita Rayen Septi
Published: August 2021

Tugas terkait peran guru dalam meningkatkan motivasi belajar siswa kelas II SDN 010 Salutabang
FAKTOR-FAKTOR YANG MENJADI PENYEBAB MASALAH BELAJAR SISWA
Authors: Datulengken Nurti
Published: August 2021

Masalah belajar adalah suatu kondisi tertentu yang dialami oleh murid dan menghambat kelancaran proses yang dilakukan individu untuk memperoleh suatu perubahan tingkah laku yang baru secara keseluruhan.Masalah belajar yang dimiliki siswa antaralain adalah siswa yang tidak mampu mencapai tujuan belajar atau hasil belajar sesuai dengan pencapaian teman- teman seusianya yang ada dalam kelas yang sama, siswa yang mengalami keterlambatan akademik, dll.Ada beberapa faktor yang mempengaruhi proses belajar. Ada dua faktor yaitu faktor eksternal dan internal. Adapun cara penanganannya adalah seperti melakukan motivasi kepada siswa, melakukan perubhahan strategi model belajar,mengguka media belajar yang inovatif. Ada beberapa cara untuk memotivasi siswa seperti memberi ilai, hadiah , memeberi pegulagan pembelajaran dan juga memberi ujian.
PERANAN BIMBINGAN DAN KONSELING DALAM MEMBERI LAYANAN BIMBINGAN BELAJAR DI SDN 103 TANETEA
Authors: syam Uni Sulastri
Published: August 2021

Perkembangan arus globalisasi pasti akan mengubah peran dan fungsi lembaga pendidikan, dan secara tidak langsung menjadi sebuah tantangan dunia pendidikan untuk mendampingi siswa mengarungi dan mempersiapkannya.
Upaya Guru Mengatasi Kendala Belajar Mengajar Selama Pandemi Pada Siswa Kelas II Di SDN 14 Cikoang
Authors: Asriani
Published: August 2021

Makalah ini membahasa tentang Upaya guru mengatasi kendala belajar Pembelajaran selama Pandemi Dengan melaksanakan pembalajaran daring Serta mencari Solusi Untuk Kesulitan yang di alami Peserta didik selama Pandemi
Persen atau Persentase
Authors: Aprilia Inul
Published: August 2021

Persen ialah suatu angka atau perbandingan “rasio” untuk menyatakan pecahan dari seratus yang ditunjukkan dengan simbol %, dengan kata lain, persentase ialah bagian dari keseluruhan yang dinyatakan dengan per seratus. Dan pendapat lain mengatakan bahwa pengertian persentase adalah suatu cara untuk mengekspresikan sebuah angka sebagai bagian dari keseluruhan, dimana keseluruhan tersebut ditulis dengan 100%.Sebagai contoh, ada 40 orang siswa di dalam satu kela, 10 diantara siswa tersebut berkacamata dan sisanya 30 siswa tidak berkacamata. Maka persentase siswa tak berkacamata adalah 30 dari 40 = (30/40) x 100% = 0,75 x 100% = 75%, sedangkan persentase siswa berkacamata adalah 10 dari 40 = (10/40) x 100% = 0,25 x 100% = 25%.
MAKALAH TABUNG
Authors: MUTMAINNA
Published: August 2021

Matematika merupakan hal yang sangat penting dalam suatu proses untuk memecahkan atau menyelesaikan masalah, Guru Mata Pelajaran matematika pun terkadang sukar menyelesaikan matematika. Didalam matematika terdapat “BANGUN RUANG” yang salah satunya yaitu tabung yang berarti bangun ruang yang dibatasi oleh dua sisi yang kongruen dan sejajar yang berbentuk lingkaran serta sebuah sisi lengkung.. Karena masih banyak yang belum memahami materi ini, maka saya akan membahas definisi, unsur-unsur dan sifat-sifat tabung, benda-benda dalam kehidupan sehari-hari yang berbentuk tabung, cara membuat jaring-jaring tabung.
Makalah Trapesium
Authors: Salmawati
Published: August 2021

Trapesium adalah bangun datar dua dimensi yang dibentuk oleh empat buah rusuk yang dua di antaranya saling sejajar namun tidak sama panjang. Burik Trapesium termasuk jenis bangun datar segi empat yang mempunyai ciri khusus.
Writing up your clinical trial report for a scientific journal: The REPORT trial guide for effective and transparent research reporting without spin
Authors: Bandholm Thomas , Thorborg Kristian , Ardern Clare Louise , Christensen Robin , Henriksen Marius
Published: August 2021

The REPORT guide is a “How to” guide to help you report your clinical research in an effective and transparent way. It is intended to supplement established first choice reporting tools, such as CONSORT, by adding tacit knowledge (i.e., learned, informal, or implicit knowledge) about reporting topics that we have struggled with as authors or see others struggle with as journal reviewers or editors. We focus on the randomised controlled trial, but the guide also applies to other study designs. Topics included in the REPORT guide cover reporting checklists, trial report structure, choice of title, writing style, trial registry and reporting consistency, spin or reporting bias, transparent data presentation (figures), open access considerations, data sharing, and more. Preprint (open access): https://doi.org/10.31219/osf.io/qsxdz
Faktor faktor penghambat dalam belajar di SD kelas IV 013 Talodo
Authors: P. Asriani
Published: August 2021

Bimbingan belajar untuk prestasi belajar anak dalam hambatan pembelajaran
Pengaruh bimbingan belajar terhadap prestasi belajar siswa
Authors: patty Rani
Published: August 2021

Pengaruh bimbingan belajar terhadap prestasi belajar siswa kelas IV SD inpres nipa nipa
Analysis of influential factors affecting workers’ productivity on highway construction projects during Covid-19 pandemic in Cagayan Valley Region, Philippines
Authors: Quezon Emer Tucay , Ibanez Arthur G.
Published: August 2021

In highway construction projects, labor-oriented work is an integral part of the management process, requiring analysis of factors affecting labor productivity during Covid-19 pandemic. This research identified 53 influential factors affecting construction labor productivity at selected cities and towns in Cagayan Valley Region, Philippines. Due to the pandemic, the construction industries incurred substantial profit losses. More so, the construction workers are too much affected because of the Enhance Community Quarantine (ECQ) imposed by the local government. Results indicated there was laxity on the Covid-19 protocols. No health worker in the project site ranked the highest in the health & safety factor group with an RII of 0.97 and ranked 1st among 53 factors on the different groups. Besides, no safety engineer was assigned to the projects and ranked 2nd with an RII of 0.93. Among the 7 groups of factors, the health and safety group ranked 1st with 0.81, followed by the schedule compression group with an RII of 0.78. Hence, these two groups of factors have a strong relationship, as evidenced by number of workers reduced. It was learned that the contractors’ strategy was to increase the number of working days to cope with their schedules. Hypothesis testing supported that there are various significant factors influencing labor productivity loss during the Covid-19 pandemic, as suggested by more than 50% of the respondents.
Impressions about people with intellectual disability of Polish high school students who participated in a workshop led by self-advocates
Authors: Nowakowska Iwona , Pisula Ewa
Published: August 2021

PurposeThe aim of the paper is to assess whether participation in a two-session workshop led by self-advocates with mild intellectual disability (ID), supported by professional staff, affects high school students’ impression of people with ID, measured by a self-report questionnaire based on a semantic differential.Design/methodology/approachThe study was paper-pencil questionnaire-based and anonymous, conducted in Warsaw, Poland. Three measurements were performed using two semantic differentials – two weeks before the workshop, one day and three months afterward. In total, 50 high school students in the workshop group and 43 students in the control group took part in the study.FindingsAfter the workshop, people with ID were perceived as more calm, compliant and adult and this change was not observed in the control group.Research limitations/implicationsThe picture of people with ID after the workshop may probably have been even more complex than before. However, the study focuses on a specific intervention and does not include data about other, similar meetings led in another school and by other self-advocates.Practical implicationsIt is worthy to design anti-discriminatory workshops led by the self-advocates to impact the perceptions of people with ID. The particular intervention would benefit from alterations.Social implicationsWorkshops performed by self-advocates with ID may be promising in terms of limiting stereotype formation in target groups of workshops.Originality/valueThis research fills the gap in the longitudinal studies on the changes in the impressions about people with ID following an intervention based on personal contact.
Affective Valence of Words Differentially Affects Visual and Auditory Word Recognition
Authors: Gao Chuanji , Shinkareva Svetlana V. , Peelen Marius
Published: August 2021

Recognizing written or spoken words involves a sequence of processing stages, transforming sensory features into lexical-semantic representations. While the later processing stages are common across modalities, the initial stages are modality-specific. In the visual modality, previous studies have shown that words with positive valence are recognized faster than neutral words. Here, we examined whether the effects of valence on word recognition are specific to the visual modality or are common across visual and auditory modalities. To address this question, we analyzed multiple large databases of visual and auditory lexical decision tasks, relating the valence of words to lexical decision times while controlling for a large number of variables, including arousal and frequency. We found that valence differentially influenced visual and auditory word recognition. Valence had an asymmetric effect on visual lexical decision times, primarily speeding up recognition of positive words. By contrast, valence had a symmetric effect on auditory lexical decision times, with both negative and positive words speeding up word recognition relative to neutral words. The modality-specificity of valence effects were consistent across databases and were observed when the same set of words were compared across modalities. We interpret these findings as indicating that valence influences word recognition partly at the sensory-perceptual stage. We relate these effects to the effects of positive (reward) and negative (punishment) reinforcers on perception.
Emotion-modulated recall: Congruency effects of nonverbal facial and vocal cues on semantic recall
Authors: Herrera-Bennett Arianne Constance , Puah Shermain , Hasenbein Lisa , Wildgruber Dirk
Published: August 2021

The current study had two main goals: First, to replicate the ‘bimodal integration’ effect (i.e. the automatic integration of crossmodal stimuli, namely facial emotions and emotional prosody); and second, to investigate whether this phenomenon facilitates or impairs the intake and retention of unattended verbal content. The study borrowed from previous bimodal integration designs and included a two-alternative forced-choice (2AFC) task, where subjects were instructed to identify the emotion of a face (as either ‘angry’ or ‘happy’) while ignoring a concurrently presented sentence (spoken in an angry, happy, or neutral prosody), after which a surprise recall was administered to investigate effects on semantic content retention. While bimodal integration effects were replicated (i.e. faster and more accurate emotion identification under congruent conditions), congruency effects were not found for semantic recall. Overall, semantic recall was better for trials with emotional (vs. neutral) faces, and worse in trials with happy (vs. angry or neutral) prosody. Taken together, our findings suggest that when individuals focus their attention on evaluation of facial expressions, they implicitly integrate nonverbal emotional vocal cues (i.e. hedonic valence or emotional tone of accompanying sentences), and devote less attention to their semantic content. While the impairing effect of happy prosody on recall may indicate an emotional interference effect, more research is required to uncover potential prosody-specific effects. All supplemental online materials can be found on OSF (https://osf.io/am9p2/).
ACT in Schools: A Public Health Approach
Authors: Renshaw Tyler L , Weeks Sean N , Roberson Anthony J. , Vinal Stephanie
Published: August 2021

This chapter makes the conceptual and empirical case for using acceptance and commitment therapy (ACT) with youth in school settings. We provide background for this project by making a logical, evidence-based case for school-based mental health services more generally. We then outline a public health approach to using ACT in schools via multitiered system of supports (MTSS), which emphasizes scaled prevention at universal, targeted, and intensive levels. Following, we review the existing literature on ACT in schools—concluding there is adequate evidence to support use at the targeted level, encouraging yet weaker evidence supporting use at the universal level, and promising yet extremely limited evidence for use at the intensive level. We close the chapter by discussing the limitations and challenges of using ACT in schools, offering future directions for progressing research and practice. We suggest future work in this area might especially benefit from (a) enhancing the methodological rigor of research designs in school-based studies, (b) testing the viability of brief or focused ACT at the targeted level in schools, (c) investigating the treatment utility of ACT-related process measures in schools, and (d) expanding the scope of ACT in schools to promote the wellbeing of teachers and other educators.
Structural and Inter-individual Differentiation in Personality Traits Across the Adult Lifespan
Authors: Olaru Gabriel , Jankowsky Kristin , Allemand Mathias
Published: August 2021

The concept of differentiation describes increasing or decreasing similarities between inter-individual differences on psychological constructs, reflecting processes of specialization or adaptation. In this study, we studied age-differentiation in personality traits in 1) the association between trait domains and facets, 2) the correlations between trait domains, and 3) trait domain and facet variances. We used three large cross-sectional samples (Ns > 3,000) covering 16 to 90 years of age, and broad measures of the Big Five, Five-Factor and HEXACO models. We examined age effects on the model parameters using local structural equation modeling. We found a high stability of the trait domain loadings, suggesting relatively stable trait domain compositions across age. Extraversion-Openness correlations increased across age for all three measures, whereas an increase in Extraversion-Agreeableness and decrease in absolute Neuroticism-Extraversion correlations only replicated across the five-dimensional models. Inter-individual differences in personality were similar across age in the trait domains and facets, but not the nuance level. In summary, apart from a few exceptions, the structure and individual differences in broad personality traits is relatively stable across the adult lifespan.
Investigating age differences in the influence of joint attention on working memory
Authors: Gregory Samantha , Kessler Klaus
Published: August 2021

Previous research has demonstrated that older adults make limited use of social cues as compared to younger adults. This has been investigated by testing the influence of gaze cues on attentional processes, with findings showing significantly smaller gaze cuing effects for older than younger adults. Here we aimed to investigate whether this would also result in age related differences in the influence of gaze cues on working memory. We therefore tested the effects of gaze cues from realistic human avatars on working memory across two experiments using dynamic head turns and more subtle eye gaze movements. We compared working memory for items looked at by the cue (congruent), looked away from by the cue (incongruent), and items shown when the cue looked down (neutral). Results demonstrated that for both older and younger adults, gaze cues influenced working memory processes, though there were some important differences related to the nature of the cue. When the cue made a dynamic head turn both younger and older adults showed an equivalent effect of gaze on attention. However, when only the eyes moved, while both the younger and older adults showed an effect of gaze on working memory, there appeared to be a difference in how the participants interpreted the neutral cue, with the older adults appearing to interpret the neutral cues in a similar way to the congruent cues. Overall, we provide important evidence that sharing attention benefits cognition across the lifespan.
Associations between COVID-19 Risk Perceptions and Mental Health, Wellbeing, and Risk Behaviours
Authors: Dyer Maddy , Sallis Hannah , Khouja Jasmine Natalie , Dryhurst Sarah , Munafo Marcus Robert
Published: August 2021

Background: Mental health has worsened, and substance use has increased for some people during the coronavirus (COVID-19) pandemic. Some cross-sectional studies suggest that higher COVID-19 risk perceptions are related to poorer mental health and greater risk behaviours (e.g., substance use). However, longitudinal and genetic data can help to support stronger inferences regarding whether these associations reflect causal pathways. Methods: Using cross-sectional, longitudinal, and polygenic risk score (PRS) data from the Avon Longitudinal Study of Parents and Children (ALSPAC), we examined cross-sectional and prospective longitudinal associations between COVID-19 risk perceptions and mental health, wellbeing, and risk behaviours. We used pandemic (April-July 2020) and pre-pandemic (2003-2017) data (ns = 233-5,115). Results: Higher COVID-19 risk perceptions were associated with anxiety (OR 2.78, 95% confidence interval [CI] 2.20 to 3.52), depression (OR 1.65, 95% CI 1.24 to 2.18), low wellbeing (OR 1.76, 95% CI 1.45 to 2.13), and increased alcohol use (OR 1.46, 95% CI 1.24 to 1.72). Higher COVID-19 risk perceptions were also associated with self-isolating given a suspected COVID-19 infection (OR 1.74, 95% CI 1.13 to 2.68), and less face-to-face contact (OR 0.83, 95% CI 0.70 to 0.98) and physical contact (OR 0.83, 95% CI 0.68 to 1.00). Pre-pandemic anxiety (OR 1.64, 95% CI 1.29 to 2.09) and low wellbeing (OR 1.41, 95% CI 1.15 to 1.74) were associated with higher COVID-19 risk perceptions. The depression (b 0.21, 95% CI 0.02 to 0.40) and wellbeing (b -0.29, 95% CI -0.48 to -0.09) PRS were associated with higher and lower COVID-19 risk perceptions, respectively. Conclusions: Poorer mental health and wellbeing are associated with higher COVID-19 risk perceptions, and longitudinal and genetic data suggest that they may play a causal role in COVID-19 risk perceptions.
Familiarity as a practical sense of place
Authors: Felder Maxime
Published: August 2021

Familiarity is an elusive concept, capturing what we know intimately and what we only recognize from having seen before. This article aims to disambiguate these interpretations by proposing a sociological conceptualization of familiarity as a dynamic relationship to the world that develops over time and through experience, and that allows one to progressively disattend from what appears as “usual.” Focusing on how urban environments and their human entities become familiar and stop being familiar, I propose that familiarity be thought of as an ongoing relational and interactional achievement, allowing us to focus on our daily activities while relying on a practical knowledge of our surroundings. The conceptualization process unfolds via five questions: What is familiarity? Where does it come from? What threatens it? What does it produce? How can it be operationalized and studied empirically?
Some Approaches in Online Misinformation Analysis
Authors: Omoregie Uyiosa
Published: August 2021

The complex nature of the ‘infodemic’ problem requires a combination of different approaches to analysing online information disorder. Approaches which emphasize analytical and critical thinking are important but have shortcomings. Fact-checking as a misinformation prevention strategy also has limitations. Certain types of misinformation disorder are complex and providing ‘facts’ alone may not change beliefs in adherents, particularly when deeply-held beliefs are involved. Sometimes the opposite effect of strengthening the false belief occurs. This has led to the strategy of trying to prevent or neutralize misinformation through ‘inoculation’ or ‘prebunking’ . Prebunking or inoculation involves exposing the flawed argumentation techniques of misinformation to prepare online content consumers against future misinformation. For analysing complex phenomena like conspiracy theories a ‘systems’ approach is more effective to reveal root causes of information disorder, provide actionable insight and long-term solutions.