Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Networking Websites and Family Relationships; Students’ Perceptions

This article examines on the one hand whether the remembrance of perceived paternal and maternal rejection affects positively the search for social support on social networking websites and on the other hand to what extent the high quality of a friendship affects the search for social support on these websites. Data were collected from 200 Greek university students and were analyzed with binary logistic regression model which was used to predict the outcome ‘’Search for social support on social networking websites’’. The scores of the following three questionnaires; (α) Perceived parental remembrance of the rejection was estimated via the Short form of the Adult Parental Acceptance and Rejection Questionnaire (PARQ) (24 items), (b) The friendship quality was evaluated with the Adult Friendship Questionnaire (AFQ) (27 items), (c) The need to seek support was measured with the questionnaire Attraction to Computer-Mediated Social Support (33 items), were included as predictive variables in this model. Enter method was also used. The final model was able to define 15.6% till 21.4% of the variance, while it was able to successfully predict in total 69.1% of the cases. It has been proved that the increase of friendship quality entails reduction of the possibilities of seeking social support through social networking sites (OR 0.965). Present study is thought to be important because to the best of our knowledge it is the first study that examines students’ perceptions with regard to family relationships and social networking websites
The Role of Future E-Learning System and Higher Education

Higher education plays an important part in every country existence as it provides highly trained experts for future growth and prosperity for this country. Today, almost all institutions of higher education deliver programs that incorporate digital media into an online environment to provide versatile learning opportunities, regardless of time and location. Thus, the internationalization of higher education tends to be a double-edged trend, which causes growing cooperation and rivalry between countries and institutional providers. Internationalization takes many forms, including co-learning courses and degrees, online classes, professorship exchanges, recruitment of students and joint research, collaborative research projects and student exchanges.
Polyethylene Oxide Hydrogels Crosslinked by Peroxide for the Controlled Release of Proteins

Crosslinking of polyethylene oxide (PEO) using a peroxide in the melt is employed to synthesize soft hydrogels with the ability of controlled release of proteins. The viscoelastic properties of the swollen networks confirm the elastic nature of the synthesized material and they are in agreement with swelling characteristics. The hydrogels have mesh sizes at the nm scale as it is estimated by swelling measurements and measured by small angle neutron scattering (SANS). Diffusion of bovine serum albumin (BSA) and lysozyme (LYZ) out of the hydrogels is restricted by the presence of the network. The diffusion coefficient in the hydrogels is lower for BSA in comparison to LYZ, while in both cases it drops as the mesh size of the network becomes smaller. This study introduces the use of peroxide-crosslinked PEO networks in the investigation of protein transport within hydrogels, the development of hydrogel-based protein delivery patches and polymeric constructs.
Alat Ukur Kualitas Air Minum Dengan Parameter Ph, Suhu, Tingkat Kekeruhan, Dan Jumlah Padatan Terlarut

Water is a natural resource that plays an important role in human life, one of that is to be consumed. Water used for consumption should be clean, odorless, tasteless, colorless, and meet the Ministry of Health standards. This water quality instrument measures parameters such as temperature, turbidity, TDS, pH and use s Arduino as a microcontroller. LM35 sensor is used to measure temperature. PH sensor with pH sensor conditioning from Dfrobot is used to measures pH level, photodiode and infrared LED as the sensor is used to measure turbidity level, conductivity sensor is used to measure TDS level. The results show that the sensors have different error level. The temperature sensor has 5.4 % maximum error value with 1.145 average standard deviation, the measurement of pH has 0.848 % error value and 0.01 average standard deviation, the measurement of TDS has 0.97 % error value and 6.69 average standard deviation . Air merupakan sumber daya alam yang berperan penting dalam kehidupan manusia, salah satunya adalah untuk dikonsumsi. Air yang digunakan untuk dikonsumsi harus bersih, tidak berbau , berasa, berwarna dan sesuai standar yang telah ditetapkan oleh Kement e rian Kesehatan. Alat ukur kualitas air ini menggunakan parameter suhu, kekeruhan, TDS, pH serta menggunakan Arduino sebagai mikrokontrolernya. Pengukuran suhu menggunakan sensor LM35, pengukuran pH menggunakan sensor pH dengan pengkondisian sensor pH dari Dfrobot, pengukuran kekeruhan dilakukan dengan sensor fotodiod e dan LED infra merah dan pengukuran TDS menggunakan sensor konduktivitas. Hasil akhir dari pembuatan alat ini masing-masing sensor pengukuran memiliki variasi eror yaitu sensor suhu dengan nilai eror maksimal 5,4 % dengan standar deviasi rata-rata 1,145. PH dengan eror 0,848 % dan standar deviasi rata-rata 0,01. TDS dengan eror 0,97 % dan standar deviasi rata-rata 6,69 .
Monitoring and controlling electricity consumption using Wemos D1 Mini and smartphone

The purpose of this study is utilizing the system that can monitor and control electricity consumption using a smartphone remotely. Finding in this study related monitoring and controlling electricity consumption using wemos D1 Mini and blynk app on a smartphone is quite effective. The electricity consumption information is displayed on LCD of wemos D1 mini and blynk app on a smartphone in the form of voltage, ampere, watt, and frequency. This device has two control function namely local mode and remote mode. Using local mode will generate output load turned on by switch and using remote mode will generate output load activated via blynk app on a smartphone.
THE INFLUENCE OF FINANCIAL PLANNING ON THE RELATIONSHIP BETWEEN HOUSEHOLD INCOME AND LEVEL OF SAVING IN TANZANIA

There are many studies on the relationship between household income and saving though very little is known about the influence of financial planning on the relationship between household income and saving.This paper examined the moderating effect of financial planning on the relationship between household income and saving in Tanzania.Based on cross-sectional secondary data (Finscope data,2017) that was collected using multistage sampling from 9457 respondents, descriptive, correlation, regression and moderation effect were performed to analyze the data.The findings indicate that household income and interaction effects have a positive relationship with level of saving. Finally, regression results show that household income and financial planning have a positive significant effect on household saving levels and that financial planning has a positive moderating effect on the relationship between household income and level of saving. From these study results,it is recommended that the government of Tanzania through the ministry of community development, gender and children in should introduce financial awareness programs to the communities in order for the people to realize the need of financial planning and hence improve their saving.Further more the government throughthe ministry of education and vocational training should introduce financial awareness in the school curriculum so that citizens learn how to plan for financial matters at early stages.
Comparison of models for predicting pore space indices and their relationships with CO2 and N2O fluxes in a corn—soybean field1

Abstract: Several models predict soil pore space indices (the relative gas diffusion coefficient, D s/D o and the pore tortuosity, t), but information is lacking on which models predicted indices better relate to soil processes. We compared pore space indices′ predictive models based on air-filled porosity (f a) alone vs. models using air-filled porosity and total pore space (Φ) (f a + Φ). We also assessed the relationships between these indices and CO2 and N2O. The study was conducted from 2011 to 2014 on a silt loam soil at Lincoln University. Soil samples were collected at 0-10 and 10-20 cm depth and oven dried at 105 °C for 72 h. After drying, f a and Φ were calculated and later used in models for predicting D s/D o and t. CO2 and N2O were measured with a Shimadzu gas chromatograph (GC) and a photoacoustic gas analyzer (PSA). Results showed that D s/D o predicted using f a alone (Marshall and Buckingham) was higher as compared with values predicted with models based on f a + Φ (Sallam et al., Millington, and Jin and Jury) (P < 0.001). However, values of t predicted with models based on f a alone were lowest (P < 0.001). CO2 and N2O measured with GC better related with D s/D o and t.
Shape Features based Apple and Banana Fruit Image Classification

This paper presents the classification of Apple and Banana fruits by using images. Detection of fruits is a challenging task. Choosing the desired fruits from many other fruits task is cumbersome, so to eliminate this difficulty this experiment is carried out. This system works in three stages first image preprocessing, second, extraction of relevant features and at last classification. The fruit-360 dataset has taken for the images of fruits. The shape features are extracted from the input images of Apple and Banana. Finally, the extracted features were supplied as input to the most five popular classifiers; LDA, Naïve Bays, Logistic regression, SVM and KNN. The KNN classifier has given highest as 99.10% classification accuracy among other classifiers.
Biodiesel production from microalgae oil through conventional and ultrasonic methods

ABSTRACT In the present study, the oil extracted from the microalga Neochloris oleoabundans was used for producing biodiesel. The viscosity of microalgal oil was very high so transesterification was done by an ultrasonic method and a simple basic method. Free fatty acid content in oil was found high so a two-step transesterification reaction was used. Maximum yield of algal oil methyl ester was acquired by the ultrasonic method (98%) with improved physicochemical characteristics, whereas the biodiesel yield obtained by simple transesterification process was low (91%). The maximum oil content in N. oleoabundans was found to be 42% and major fatty acids include palmitic acid, oleic acid, and linoleic acid. Finally, it was conferred that the ultrasonic-assisted transesterification method is the best technique for biodiesel production from microalgal oil.
Research on Vehicle Trajectory Prediction and Warning Based on Mixed Neural Networks

When driving on roads, the most important issue for driving is safety. There are various vehicles, including cars, motorcycles, bicycles, and pedestrians, that increase the complexity of road conditions and the burden on drivers. In order to improve driving safety, a deep learning framework is applied to predict and announce the trajectory of a car. This research is divided into three parts. Lane line detection is adopted first. Secondly, car object detection is employed. Lastly, car trajectory prediction is a key part of our research. In addition, real images and videos in the driving recorder are used to simulate the real situation the driver sees from the driver’s seat. Car detection is utilized to obtain the coordinates of the car in these images, reaching an accuracy of 0.91 and then predicting the future trajectory of the car, obtaining a loss of 0.00024 and costing 12 milliseconds. It can precisely mark the position of the car, accurately detect the lane line, and predict the future car’s trajectory. Through the prediction and announcement of the car trajectory, we verified that our model can correctly predict the car trajectory and truly enhance the safety of driving.
Ultrasound-Guided Detection and Segmentation of Photoacoustic Signals from Bone Tissue In Vivo

Photoacoustic (PA) techniques provide optical absorption contrast and spatial information at an ultrasound resolution in deep biological tissues. Among the greatest challenges encountered in the PA examination of bone is the analysis of trabecular bone, which holds key chemical and physical information required for bone health assessments. Ultrasound detection is naturally registered with PA detection; therefore, in this study, we propose ultrasound guidance for the PA detection of trabecular bone. We perform both numerical simulations and an in vivo experiment on a human subject to investigate the possibility of ultrasound-guided detection and segmentation of photoacoustic signals from bone tissue in vivo in a non-invasive manner. The results obtained from the simulation and in vivo experiment suggest that the ultrasound-guided PA method can distinguish PA signals from trabecular and cortical bones as well as from the overlying soft tissue. Considering that the PA technique is non-ionizing and non-invasive, it holds potential for clinical bone health assessment.
Psychological Well-Being Differences Between PNS Lecturers And Non-PNS Lecturers At UIN Raden Fatah Palembang

There are two permanent lecturers at UIN Raden Fatah Palembang, namely PNS (Civil Servant) and Non-PNS (Non-Civil Servant) lecturers, but for Non-PNS lecturers there are differences in treatment and legal uncertainty in that status. This study focuses on knowing the differences in psychological well-being between PNS and Non-PNS lecturers at UIN Raden Fatah Palembang. This research is a comparative quantitative study. From 25% of the population the number of research subjects is 125 people (81 PNS lecturers and 44 Non-PNS lecturers). The measuring tool uses for the dimensions of psychological well-being is a modified scale and adapted from Ryff and Keyes (1995). The data analysis method used was the Independent Sample t-test using SPSS 24.0. The result of hypothesis test shows a significance value that states Ha is accepted and H0 is rejected. In conclusion, there is a significant difference between the psychological well-being of PNS lecturers and non-PNS lecturers at UIN Raden Fatah. The mean variant of Non-PNS lecturers is also smaller, meaning that the psychological well-being of PNS lecturers is higher than Non-PNS lecturers.
The impact of COVID-19 on student motivation, community of inquiry and learning performance

PurposeThis paper aims to investigate the impact of COVID-19 on the students studying in higher education institutions pre and during Movement Control Order (MCO). MCO was introduced in March 2020, and the learning process must switch from face-to-face to online learning in schools and universities. This study particularly focuses on university students by analyzing the students' motivation, the community of inquiry and learning performance. In total, three factors are examined in the construct of the community of inquiry, namely social presence, cognitive presence and teaching presence.Design/methodology/approachThis paper provides quantitative analysis and paired sample t-tests on the students' learning motivation, the community of inquiry and learning performance. This paper presents the analysis of the online learning preference of 282 university students and examines whether there is significant difference in preference before and during MCO.FindingsThe findings indicated that the students lost motivation and learning performance using online learning methods during the MCO period. There is a lack of infrastructure to support the learning and social support from the lecturers and peers.Research limitations/implicationsThis research helps to explore improvements that are needed to manage such a pandemic to support teaching staff and students.Practical implicationsThe COVID-19 is a pandemic that has affected the learning process of the students, and it should not be neglected even when it is over. Policymakers shall consider providing more training and better infrastructures to cater to smooth Internet connection and platform for online learning. Students are not able to focus on learning using online learning methods and, they lack motivation during the pandemic. The teaching faculty also need to be well-trained in delivering online courses and to be more tech-savvy.Social implicationsWith the detailed analysis of the students' learning motivation, the community of inquiry and learning performance, it helps to promote a better education environment.Originality/valueThis is the first study to examine the learning motivation and performance model as well as the community of inquiry during the pandemic. It is evident that university students initially have a high level of motivation and community of inquiry before the pandemic but yield a significant drop during the MCO. The paper presented how COVID-19 seriously impacted on the learning experience.
Deadbeat Control of a Modified Single-Phase Five-Level Photovoltaic Inverter with Reduced Number of Switches

In this article, a modified single-phase five-level photovoltaic inverter is proposed with a single DC voltage source and six semiconductor switches. Compared with the presented inverters, the introduced topology has the advantage of decreased device count and the first switching frequency for high blocking voltage switches. The proposed PV inverter is implemented without clamping diodes and transformers, which leads to a decrement in size and, consequently, the weight of the converter. In addition, for the proposed topology, space vector pulse width modulation (SVPWM) is deployed that reduces the complexity of multilevel modulation. In order to obtain the optimal output voltage of the inverter, the deadbeat controller is suggested as a rapid dynamic, low-computation digital control method. This closed-loop inverter is implemented in TMS320f28335 digital signal controller to evaluate the performance of the proposed inverter under nonlinear and linear loads. Simulation and laboratory prototype results show that IEC 62040-3 harmonic constraints is met for the proposed photovoltaic inverter in standalone applications.
Effectiveness of Project Based Learning (PjBL) to Improve Natural Science Learning Outcomes Of Grade IV Students

This research aimed to determine the effectiveness of Project Based Learning (PjBL) with the model in control class towards science learning outcomes on Elementary School fourth grade students in Cluster Ikan Lodan Semarang. The research is a quasi-experimental design with pretest posttest nonequivalen control group design. The population is all students of SDN in Cluster Ikan Lodan. Sampling technique is purposive sampling. The Data collection techniques are observation, testing and documentation. The results showed that thitung > t table is 3,22> 2,00 it means ho rejected and ha accepted. The conclusions of this study is the experimental class that implements the Project Based Learning (PjBL) model is more effective than applying the model on class control with Contextual Teaching and Learning (CTL) on material changes the physical environment in the fourth grade students of SDN in cluster Ikan Lodan North Semarang districts.
History effects on the gas exchange between a bubble and a liquid

Diffusive processes exhibit a strong dependence on history effects. For a gas bubble at rest in a liquid, such effects arise when the concentration of dissolved gas at the bubble surface, dictated by Henry's law, depends on time. In this paper we consider several such situations. An oscillating ambient pressure field causes the occurrence of rectified diffusion of gas into or out of the bubble. Unlike previous investigators, who considered the opposite limit, we study this process for conditions when the diffusion length is larger than the bubble radius. It is found that history effects are important in determining the threshold conditions. Under a static ambient pressure, the time dependence of the gas concentration can arise due to the action of surface tension, which increases the gas pressure as the bubble dissolves or, when the bubble contains a mixture of two or more gases, due to the different rates at which they dissolve. In these latter cases history effects prove mostly negligible for bubbles larger than a few hundred nanometers.
In vitro Neutralisation Potential of Metal-Herbal (Copper-Leucas zeylanica) Nanocomposite (MHNC) against Naja naja and Bungarus caeruleus Venoms

Snake-bite gives rise to signi(cid:976)icant socio-economic, and limitations of antivenom have raised the necessity for the development of novel neutralising compounds. The present study concentrates on evaluating the neutralisation potential of Copper nanoparticles, Leucas zeylanica leaf extracts and Metal-Herbal Nanocomposite (MHNC) against Naja naja and Bungarus caeruleus venoms. The antigenic potency of snake venoms was determined by gel precipitation test. Leucas zeylanica leaves were used for extraction, and extracts were further puri(cid:976)ied by column chromatography. Size of Leucas zeylanica extract was found to be 86.7 (cid:6) 7.1nm and 249.4 (cid:6) 27.3nm for MHNC. Zeta potential values determined the Stability of the MHNC. MHNC showed higher neutralisation to venoms than the Leucas zeylanica extracts. In direct hemolysis, the ef(cid:976)iciency of Naja naja and Bungarus caeruleus venoms treated with Leucas zeylanica leaf extract was found to be 30% and 27.2%, whereas MHNC showed 16.1% against Naja naja venom and 17.1% Bungarus caeruleus venom. From Indirect analysis, Naja naja and Bungarus caeruleus venom were able to produce 28mm and 26mm diameter hemolytic halo zones. On treatment with MHNC, the zones were reduced to 15mm and 11mm than Leucas zeylanica extract. This result indicates the MHNC can be used for
Understanding children with Behavioral Inhibition

Behavioral inhibition is a temperament trait characterized by extreme fear in the face of novelty. Behavioral inhibition has been associated with the development of mental disorders. However, there is a lack of research examining the socioemotional and behavioral characteristics of behaviorally inhibited children both in family and school settings. For a more comprehensive and in-depth overview of children’s behavior in each of these contexts, this study has collected data from both parents (mother and father-family setting) and from teachers (educational environment). The sample consisted of 109 children aged between 4 and 6 years old. Multi-informant approach was used: all fathers, mothers and teachers completed both the Preschool Behavioral Inhibition Scales, the Child Behavior Checklist (CBCL) for parents and teachers, and the Behavior Assessment System for Children and Adolescents (BASC). Our findings revealed that children classified as behavioral inhibition exhibit less socioemotional and behavioral adjustments than their uninhibited peers both in family and school contexts. Further, the shyness variable seemed to be strongly associated with behavioral inhibition, regardless of informant and context.