bluuebunny/crossref_metadata_2025 huggingface dataset:
Infection Control Measures against Candidaauris in Healthcare Facilities
Authors: Alfouzan Wadha A. , Dhar Rita , Alabbad Jasim , Rabaan Ali A.
Published: August 2022

Candida auris is an emerging multidrug-resistant yeast with high mortality rate, especially in patients with underlying co-morbidities. It has been known to contaminate the environment and colonize human skin for prolonged periods in healthcare settings leading to difficult-to-control outbreaks. However, there is limited literature on the efficacy of different disinfectants/antiseptics, which can effectively decontaminate the environment and decolonize patients to prevent the spread of C. auris. This review highlights recommendations available in the literature for detection and control of C. auris in healthcare settings. Detection of C. auris by biochemical and automated methods has often been misleading. Availability of C. auris-specific PCR can prove to be a more reliable technique for detection of C. auris. Control measures for transmission of C. auris include use of registered hospital grade disinfectant active against Clostridium difficile cleaning the environment and equipment and chlorhexidine for decolonization of patients. Hand hygiene using soap and water, followed by use of alcohol-based hand sanitizer for maximal disinfection, is recommended for healthcare workers.
Evaluating the Performance of a Solar Distillation Technology in the Desalination of Brackish Waters
Authors: Shakerian Mahyar , Karrabi Mohsen , Gheibi Mohammad , Fathollahi-Fard Amir M. , Hajiaghaei-Keshteli Mostafa
Published: August 2022

Desalination is set to become a major source of drinking water in several Middle Eastern countries over the coming decades. Solar distillation is a simple power-independent method of water desalination, which can be carried out in active or passive modes. This study is among the first attempts to investigate the possibility of desalinating brackish groundwater resources under the threat of saltwater intrusion in the southern areas of Razavi Khorasan province in Iran. For this purpose, a pilot solar distillation unit was constructed to analyze the effects of the unit orientation, depth of the water pool, atmospheric conditions, input salinity, and flow continuity on the solar distillation performance. The results showed that the unit exhibited the highest efficiency when it had a 3 cm deep water pool. It was oriented facing southward while operating a continuous flow for at least 3 days under sunny weather conditions. It was found that among the studied parameters, the unit orientation and pool depth had the greatest impact on the water production performance for this type of water desalination system. Conversely, the water production efficiency was not very sensitive to the input salinity level. Overall, the solar distillation technology was able to reduce the salinity by 99.7% and the hardness by 94.7%.
Effects of a Detached Eddy Simulation-Curvature Correction (DES-CC) Turbulence Model on the Unsteady Flows of Side Channel Pumps
Authors: Liu Runshi , Zhang Fan , Chen Ke , Wang Yefang , Yuan Shouqi , Xu Ruihong
Published: August 2022

A side channel pump is a pump with a high head and a small flow that is widely used in various industrial fields. Many scientists have studied the hydraulic performance, pressure fluctuation characteristics, and gas-liquid mixed transport characteristics of this type of pump. However, these studies mainly focused on the single-stage impeller of the side channel pump, without considering the inter-stage connection channel and the multistage timing effect. These characteristics affect the hydraulic performance and pressure-pulsation characteristics of the side channel pump. Therefore, we carried out a numerical simulation and an experimental comparison on the multistage side channel pump to explore its flow characteristics during the stages. This study focused on the influence of different turbulence models on the numerical simulation of multistage side channel pumps. Shear stress transport (SST), detached eddy simulation (DES), and detached eddy simulation-curvature correction (DES-CC) turbulence models were selected for consideration. By studying the pressure and velocity streamline distribution, the turbulent kinetic energy, and the shape and volume of the vortex core area simulated by the three models, we concluded that the DES-CC model, when compared to the other models, can more fully reflect the vortex characteristics and the simulation results that are closer to the experimental data. The results of this study can be used as the basis for future research on multistage side channel pumps.
Optimization of Production of Polyhydroxyalkanoates (PHAs) from Newly Isolated Ensifer sp. Strain HD34 by Response Surface Methodology
Authors: Khamkong Thitichaya , Penkhrue Watsana , Lumyong Saisamorn
Published: August 2022

Petroleum-based plastics have become a big problem in many countries because of their non-degradability and that they become microplastics in the environment. This study focused on the optimization of production medium and conditions of polyhydroxyalkanoates (PHAs), which are biodegradable bioplastics and are accumulated in microbial cells. Among 341 isolates from 40 composted soil samples, the best isolate was the HD34 strain, which was identified using morphological, molecular, and biochemical methods. The results showed that the strain was most closely related to Ensifer adhaerens LMG20216T, with 99.6% similarity. For optimization of production medium and conditions using response surface methodology, it exhibited an optimal medium containing 3.99% (w/v) of potato dextrose broth (PDB) and 1.54% (w/v) of D-glucose with an adjusted initial pH of 9.0. The optimum production was achieved under culture conditions of a temperature of 28 °C, inoculum size of 2.5% (v/v), and a shaking speed of 130 rpm for 5 days. The results showed the highest PHA content, total cell dry weight, and PHA yield as 72.96% (w/w) of cell dry weight, 9.30 g/L, and 6.78 g/L, respectively. The extracted PHA characterization was studied using gas chromatography, 1H NMR, FTIR, and XRD. The results found that the polymer was a polyhydroxybutyrate (PHB) with a melting temperature (Tm) and degradation temperature (Td) of 173.5 °C and 260.8 °C, respectively.
Information Security Risk Assessment Using Situational Awareness Frameworks and Application Tools
Authors: Chandra Nungky Awang , Ramli Kalamullah , Ratna Anak Agung Putri , Gunawan Teddy Surya
Published: August 2022

This paper describes the development of situational awareness models and applications to assess cybersecurity risks based on Annex ISO 27001:2013. The risk assessment method used is the direct testing method, namely audit, exercise and penetration testing. The risk assessment of this study is classified into three levels, namely high, medium and low. A high-risk value is an unacceptable risk value. Meanwhile, low and medium risk values can be categorized as acceptable risk values. The results of a network security case study with security performance index indicators based on the percentage of compliance with ISO 27001:2013 annex controls and the value of the risk level of the findings of the three test methods showed that testing with the audit method was 38.29% with a moderate and high-risk level. While the test results with the tabletop exercise method are 75% with low and moderate risk levels. On the other hand, the results with the penetration test method are 16.66%, with moderate and high-risk levels. Test results with unacceptable risk values or high-risk corrective actions are taken through an application. Finally, corrective actions have been verified to prove there is an increase in cyber resilience and security.
Cadence Detection in Road Cycling Using Saddle Tube Motion and Machine Learning
Authors: Hollaus Bernhard , Volmer Jasper C. , Fleischmann Thomas
Published: August 2022

Most commercial cadence-measurement systems in road cycling are strictly limited in their function to the measurement of cadence. Other relevant signals, such as roll angle, inclination or a round kick evaluation, cannot be measured with them. This work proposes an alternative cadence-measurement system with less of the mentioned restrictions, without the need for distinct cadence-measurement apparatus attached to the pedal and shaft of the road bicycle. The proposed design applies an inertial measurement unit (IMU) to the seating pole of the bike. In an experiment, the motion data were gathered. A total of four different road cyclists participated in this study to collect different datasets for neural network training and evaluation. In total, over 10 h of road cycling data were recorded and used to train the neural network. The network’s aim was to detect each revolution of the crank within the data. The evaluation of the data has shown that using pure accelerometer data from all three axes led to the best result in combination with the proposed network architecture. A working proof of concept was achieved with an accuracy of approximately 95% on test data. As the proof of concept can also be seen as a new method for measuring cadence, the method was compared with the ground truth. Comparing the ground truth and the predicted cadence, it can be stated that for the relevant range of 50 rpm and above, the prediction over-predicts the cadence with approximately 0.9 rpm with a standard deviation of 2.05 rpm. The results indicate that the proposed design is fully functioning and can be seen as an alternative method to detect the cadence of a road cyclist.
High-Speed Infrared Radiation Thermometer for the Investigation of Early Stage Explosive Development and Fireball Expansion
Authors: Hobbs Matthew J. , Barr Andrew , Woolford Scott , Farrimond Dain , Clarke Sam D. , Tyas Andrew , Willmott Jon R.
Published: August 2022

The understanding of blast loads is critical for the development of infrastructure that protects against explosions. However, the lack of high-quality experimental work on the characterisation of such loads prevents a better understanding of many scenarios. Blast loads are typically characterised by use of some form of pressure gauge, from which the temperature can be inferred from a pressure measurement. However, such an approach to temperature measurement is limited; it assumes ideal gas laws apply throughout, which may not be the case for high temperature and pressure scenarios. In contrast, infrared radiation thermometers (IRTs) perform a measurement of temperature based upon the emitted radiance from the target object. The IRTs can measure fast changes in transient temperature, making them seemingly ideal for the measurement of a fireball’s temperature. In this work, we present the use of a high-speed IRT for the measurement of early-stage explosive development and fireball expansion within a confined blast, with the temperature of the explosive fireball measured from its emitted radiance. The temperature measured by the IRT was corroborated against the temperature inferred from a pressure gauge measurement; both instruments measured the same temperature from the quasi-static pressure (QSP) point onwards. Before the QSP point, it is deduced that the IRT measures the average temperature of the fireball over a wide field-of-view (FOV), as opposed to that inferred from the singular shocks detected by the pressure gauge. Therefore, use of an IRT, in tandem with a pressure gauge, provides a potential invaluable measurement technique for the characterisation the early stages of a fireball as it develops and expands.
Feature Selection Model Based on IWOA for Behavior Identification of Chicken
Authors: Li Lihua , Di Mengzui , Xue Hao , Zhou Zixuan , Wang Ziqi
Published: August 2022

In order to reduce the influence of redundant features on the performance of the model in the process of accelerometer behavior recognition, and to improve the recognition accuracy of the model, this paper proposes an improved Whale Optimization algorithm with mixed strategy (IWOA) combined with the extreme gradient boosting algorithm (XGBoost) as a preferred method for chicken behavior identification features. A nine-axis inertial sensor was used to obtain the chicken behavior data. After noise reduction, the sliding window was used to extract 44 dimensional features in the time domain and frequency domain. To improve the search ability of the Whale Optimization algorithm for optimal solutions, the introduction of the good point set improves population diversity and expands the search range; the introduction of adaptive weight balances the search ability of the optimal solution in the early and late stages; the introduction of dimension-by-dimension lens imaging learning based on the adaptive weight factor perturbs the optimal solution and enhances the ability to jump out of the local optimal solution. This method’s effectiveness was verified by recognizing cage breeders’ feeding and drinking behaviors. The results show that the number of feature dimensions is reduced by 72.73%. At the same time, the behavior recognition accuracy is increased by 2.41% compared with the original behavior feature dataset, which is 95.58%. Compared with other dimensionality reduction methods, the IWOA–XGBoost model proposed in this paper has the highest recognition accuracy. The dimension reduction results have a certain degree of universality for different classification algorithms. This provides a method for behavior recognition based on acceleration sensor data.
Feasibility Study of Constructing a Screening Tool for Adolescent Diabetes Detection Applying Machine Learning Methods
Authors: Hu Hansel , Lai Tin , Farid Farnaz
Published: August 2022

Prediabetes and diabetes are becoming alarmingly prevalent among adolescents over the past decade. However, an effective screening tool that can assess diabetes risks smoothly is still in its infancy. In order to contribute to such significant gaps, this research proposes a machine learning-based predictive model to detect adolescent diabetes. The model applies supervised machine learning and a novel feature selection method to the National Health and Nutritional Examination Survey datasets after an exhaustive search to select reliable and accurate data. The best model achieved an area under the curve (AUC) score of 71%. This research proves that a screening tool based on supervised machine learning models can assist in the automated detection of youth diabetes. It also identifies some critical predictors to such detection using Lasso Regression, Random Forest Importance and Gradient Boosted Tree Importance feature selection methods. The most contributing features to Youth diabetes detection are physical characteristics (e.g., waist, leg length, gender), dietary information (e.g., water, protein, sodium) and demographics. These predictors can be further utilised in other areas of medical research, such as electronic medical history.
UBER: UAV-Based Energy-Efficient Reconfigurable Routing Scheme for Smart Wireless Livestock Sensor Network
Authors: Alanezi Mohammed A. , Salami Abdulazeez F. , Sha’aban Yusuf A. , Bouchekara Houssem R. E. H. , Shahriar Mohammad S. , Khodja Mohammed , Smail Mostafa K.
Published: August 2022

This paper addresses coverage loss and rapid energy depletion issues for wireless livestock sensor networks by proposing a UAV-based energy-efficient reconfigurable routing (UBER) scheme for smart wireless livestock sensor networking applications. This routing scheme relies on a dynamic residual energy thresholding strategy, robust cluster-to-UAV link formation, and UAV-assisted network coverage and recovery mechanism. The performance of UBER was evaluated using low, normal and high UAV altitude scenarios. Performance metrics employed for this analysis are network stability (NST), load balancing ratio (LBR), and topology fluctuation effect ratio (TFER). Obtained results demonstrated that operating with a UAV altitude of 230 m yields gains of 31.58%, 61.67%, and 75.57% for NST, LBR, and TFER, respectively. A comparative performance evaluation of UBER was carried out with respect to hybrid heterogeneous routing (HYBRID) and mobile sink using directional virtual coordinate routing (MS-DVCR). The performance indicators employed for this comparative analysis are energy consumption (ENC), network coverage (COV), received packets (RPK), SN failures detected (SNFD), route failures detected (RFD), routing overhead (ROH), and end-to-end delay (ETE). With regard to the best-obtained results, UBER recorded performance gains of 46.48%, 47.33%, 15.68%, 19.78%, 46.44%, 29.38%, and 58.56% over HYBRID and MS-DVCR in terms of ENC, COV, RPK, SNFD, RFD, ROH, and ETE, respectively. The results obtained demonstrated that the UBER scheme is highly efficient with competitive performance against the benchmarked CBR schemes.
Deblurring Ghost Imaging Reconstruction Based on Underwater Dataset Generated by Few-Shot Learning
Authors: Yang Xu , Yu Zhongyang , Jiang Pengfei , Xu Lu , Hu Jiemin , Wu Long , Zou Bo , Zhang Yong , Zhang Jianlong
Published: August 2022

Underwater ghost imaging based on deep learning can effectively reduce the influence of forward scattering and back scattering of water. With the help of data-driven methods, high-quality results can be reconstructed. However, the training of the underwater ghost imaging requires enormous paired underwater datasets, which are difficult to obtain directly. Although the Cycle-GAN method solves the problem to some extent, the blurring degree of the fuzzy class of the paired underwater datasets generated by Cycle-GAN is relatively unitary. To solve this problem, a few-shot underwater image generative network method is proposed. Utilizing the proposed few-shot learning image generative method, the generated paired underwater datasets are better than those obtained by the Cycle-GAN method, especially under the condition of few real underwater datasets. In addition, to reconstruct high-quality results, an underwater deblurring ghost imaging method is proposed. The reconstruction method consists of two parts: reconstruction and deblurring. The experimental and simulation results show that the proposed reconstruction method has better performance in deblurring at a low sampling rate, compared with existing underwater ghost imaging methods based on deep learning. The proposed reconstruction method can effectively increase the clarity degree of the underwater reconstruction target at a low sampling rate and promotes the further applications of underwater ghost imaging.
Cloud Detection Method Based on All-Sky Polarization Imaging
Authors: Li Wunan , Cao Yu , Zhang Wenjing , Ning Yu , Xu Xiaojun
Published: August 2022

Sky cloud detection has a significant application value in the meteorological field. The existing cloud detection methods mainly rely on the color difference between the sky background and the cloud layer in the sky image and are not reliable due to the variable and irregular characteristics of the cloud layer and different weather conditions. This paper proposes a cloud detection method based on all-sky polarization imaging. The core of the algorithm is the “normalized polarization degree difference index” (NPDDI). Instead of relying on the color difference information, this index identifies the difference between degree of polarization (DoPs) of the cloud sky and the clear sky radiation to achieve cloud recognition. The method is not only fast and straightforward in the algorithm, but also can detect the optical thickness of the cloud layer in a qualitative sense. The experimental results show a good cloud detection performance.
An RFID-Based Method for Multi-Person Respiratory Monitoring
Authors: Zang Chaowei , Zhang Chi , Zhang Min , Niu Qiang
Published: August 2022

Respiratory monitoring is widely used in the field of health care. Traditional respiratory monitoring methods bring much inconvenience to users. In recent years, a great number of respiratory monitoring methods based on wireless technology have emerged, but multi-person respiratory monitoring is still very challenging; therefore, this paper explores multi-person respiratory monitoring. Firstly, the characteristics of human respiratory movement have been analyzed, and a suitable tag deployment method for respiratory monitoring is proposed. Secondly, aiming at the ambiguity and entanglement of radio frequency identification (RFID) phase data, a method of removal of phase ambiguity and phase wrapping is given. Then, in order to monitor multi-person respiration in a noisy environment, the frequency extraction method and waveform reconstruction method of multi-person respiration are proposed. Finally, the feasibility of the method is verified by experiments.
Cycling through 360° Virtual Reality Tourism for Senior Citizens: Empirical Analysis of an Assistive Technology
Authors: Ortet Cláudia Pedro , Veloso Ana Isabel , Vale Costa Liliana
Published: August 2022

In recent years, there has been a renewed interest in using virtual reality (VR) to (re)create different scenarios and environments with interactive and immersive experiences. Although VR has been popular in the tourism sector to reconfigure tourists’ relationships with places and overcome mobility restrictions, its usage in senior cyclotourism has been understudied. VR is suggested to positively impact tourism promotion, cycling simulation, and active and healthy ageing due to physical and mental rehabilitation. The purpose of this study is to assess the senior citizens’ perceived experience and attitudes toward a designed 360° VR cyclotouristic experiment, using a head-mounted display (HMD) setting within a laboratory context. A total of 76 participants aged between 50 and 97 years old were involved in convergent parallel mixed-method research, and data were collected using a questionnaire based on the technology acceptance model, as well as the researchers’ field notes. Findings suggest that 360° VR with HMD can be an effective assistive technology to foster senior cyclotourism by promoting tourism sites, simulating the cycling pedaling effect, and improving senior citizens’ general wellbeing and independence with physical and mental rehabilitation.
Vibration Prediction of the Robotic Arm Based on Elastic Joint Dynamics Modeling
Authors: Li Jianlong , Wang Dongxiao , Wu Xing , Xu Kai , Liu Xiaoqin
Published: August 2022

The flexibility of the joint drive system of an industrial robot can cause vibration at the end part, which can lead to motion errors. A method to predict the vibration during the motion of the robot arm is proposed considering the robot joint flexibility. The method combines the internal transfer function of the drive system and the identification of parameters under external excitation. Firstly, the dynamics of the robot joint system are modeled by a double inertia elastic system. The joint system transfer function from the electromagnetic torque to the arm vibration is obtained according to the dynamics model. To solve the unknown parameters in the transfer function, a vibration dynamics model of the joint arm under the external forces on the arm is developed. According to this model, the equivalent stiffness, damping and load inertia of the joint can be obtained by the direct parametric method. Then, the vibration spectrum of the robot arm is derived from the motor electromagnetic torque and joint dynamics models were used to predict the vibration spectrum of the robot arm. The experiments were conducted on a single-joint robot testbed, and on an articulated industrial robot. In both experiments, the key parameters in the system were determined by impact experiments. Then, the vibration signal of the arm during the robot motion was obtained by electromagnetic torque prediction. The predicted vibration signals are analyzed in comparison with the actual vibration signals. The experimental results both show the validity of the vibration prediction.
New Approach for Trace Thallium Removal in High Purity Ammonium Rhenate Solution by P204 Extraction
Authors: Yi Aifei , Liu Ying , Lu Xingwu , Chen Song , Jiang Honglin , Shao Chuanbing , Yuan Xuetao , Yin Yanxi
Published: August 2022

Thallium (Tl) is an extremely toxic rare metal to the eco-environment. Trace thallium impurity in ammonium perrhenate is harmful to the high-temperature mechanical properties of rhenium metal used for aeroengine single crystal blade. The di(2-ethylhexyl) phosphoric acid (P204) extraction to remove thallium in ammonium perrhenate solution without additive was innovatively proposed. The migration behavior of trace thallium with the concentration of P204, saponification degree and organic/aqueous phase (O/A) ratio, distribution law of thallium in the extraction system of P204, and mechanism of thallium removal were revealed. It was found Tl removal was rapidly increased to 98.5%, at conditions of P204 0.75 mol/L saponified 70% by ammonia, Tl 3.27 mg/L, O/A 1:1, T 298.15 ± 2 K, 250 rpm, and 3 min. McCabe-Thiele Tl extraction equilibrium isotherms indicates Tl concentration of raffinate less than 18.7 μg/L, a theoretical extraction of two stages and a theoretical stripping of two stages are required when both O/A work lines were at 1.0. Therefore, the method of the P204 solvent extraction system can effectively extract Tl in the forms of TlA(org), TlA3(org), TlOHA2(org), and Tl(OH)2A(org). Meanwhile, the new approach can be a promising process for ammonium rhenate refining.
Long-Term Immunogenicity of Inactivated and Oral Polio Vaccines: An Italian Retrospective Cohort Study
Authors: Larocca Angela Maria Vittoria , Bianchi Francesco Paolo , Bozzi Anna , Tafuri Silvio , Stefanizzi Pasquale , Germinario Cinzia Annatea
Published: August 2022

Oral and inactivated poliovirus (PV) vaccines have contributed toward the global eradication of wild PV2 and PV3, as well as the elimination of PV1 in most countries. While the long-term (>5–10 years) persistence of protective antibodies in ≥80% of the population vaccinated with ≥3–4 doses of oral poliovirus vaccine (OPV) has been demonstrated, the duration of immunity in people vaccinated with the inactivated poliovirus vaccine (IPV) is still unclear. This study evaluated the seroprevalence of anti-PV neutralizing antibodies and the long-term immunogenicity conferred by OPV and IPV in a sample of medical students from the University of Bari (April 2014–October 2020). The levels of neutralizing PV1, PV2, and PV3 antibodies in blood samples taken during the assessments were evaluated. Neutralizing antibodies against PV1, PV2, and PV3 were present in >90% of the study participants, with rates of >99%, >98%, and ~92–99%, respectively. IPV resulted in a higher immunological response than OPV against PV3. Protective antibodies against all three viruses persisted for at least 18 years after administration of the last vaccine dose. Until PV1 is completely eradicated, maximum vigilance from public health institutions must be maintained.
Human Papillomavirus Knowledge and Vaccine Acceptability in Jazan Province, Saudi Arabia
Authors: Darraj Atheer I. , Arishy Alshaymaa M. , Alshamakhi Atheer H. , Osaysi Njoud A. , Jaafari Shatha M. , Sumayli Shareefa A. , Mushari Rawiah Y. , Alhazmi Abdulaziz H.
Published: August 2022

Background: Human Papillomavirus (HPV) is the most common sexually transmitted infection that affects teens and adults in their early 20 s. Screening and HPV vaccination are important preventive measures to reduce cases of HPV and associated complications. Studies about HPV knowledge and vaccine acceptability are scarce in Saudi Arabia. This study evaluated participants’ knowledge, attitude, and acceptability concerning HPV and the HPV vaccine in Jazan Province, Saudi Arabia. Methods: A cross-sectional study was conducted using a pretested survey that assessed knowledge and attitude toward HPV and the HPV vaccine among the population of Jazan Province, Saudi Arabia. Responses were collected from adults between January and March 2022. Data were analyzed using a t-test and chi-square test. Results: We included 569 in the study. Most participants were single (65%), females (83%), with a university-level of education (78%). The recorded knowledge score for all participants was 1.99 (out of 10). About half of the participants denied that HPV is a common sexually transmitted infection. Further, 53% were interested in the HPV vaccine, and 63% of participants acknowledged that the HPV vaccine could prevent warts and cervical cancer. About 30% of the participants opposed the vaccine due to religious reasons. Conclusion: The results of our study highlight the inadequate level of knowledge concerning HPV infection, even among highly educated people. Thus, by promoting the HPV vaccine acceptance and use, awareness can be raised in our community to assure better knowledge and achieve higher protection from this virus and its complications.
Efektifitas Hubungan Kerjasama Green Sister City Kota Surabaya dengan Kitakyushu
Authors: Ummah Khoirul , Nisa Amirah Hilyatun , Kurniawati Dyah Estu , Purnomo Eko Priyo
Published: August 2022

This study aims to see the relationship of Sister City cooperation between the city of Surabaya and Kitakyushu in realizing the Green City of Surabaya. The focus of this research is to determine the effectiveness of the relationship between the two countries in realizing the Green City of Surabaya. This study uses an analytical method based on secondary data obtained from books, journals, and news in accordance with the research analyzed by the author. A qualitative approach is used to see the phenomenon of research that focuses on the effectiveness of the relationship between the Sister City of Surabaya and Kitakyushu in realizing the Green City of Surabaya. The results of this study indicate that there are policies and programs of cooperation between the city of Surabaya and Kitakyushu in the Sister City relationship in order to realize a more effective relationship in realizing the Green City of Surabaya. The cooperation between the two cities is known to have existed since 1997 but encountered various obstacles, so that in 2012 a Sister City collaboration was established with various policies and programs that were more effective in realizing the Green City of Surabaya. The collaboration between the two cities focuses on overcoming environmental problems that are often experienced by industrial cities in the world.
Hubungan Dukungan Orangtua dan Konsep Diri dengan Kepercayaan Diri Siswa
Authors: Simorangkir Rebekka Saormauli , Parinduri M. Abrar , Nurani Nurani
Published: August 2022

This study aims to determine whether there is a relationship between parental support and self-concept on self-confidence. The research method is quantitative descriptive correlative type. The research population is the XII grade students of SMA Negeri 1 Habinsaran. The sampling technique used is the Proportional Random Sampling technique with the number of selected samples as many as 57 people. The results obtained indicate that (1) there is a significant relationship between parental support and student self-confidence as indicated by the coefficient rx1y = 0.352 and p = 0.001, namely p < 0.05; (2) there is a significant relationship between students' self-concept and students' self-confidence, which is indicated by the coefficient rx2y = 0.177 and p = 0.008, namely p<0.05; (3) there is a significant relationship between parental support and students' self-concept with students' self-confidence as indicated by the coefficient F = 4.311 and R (regression coefficient) = 0.371 while R2 = 0.138 with p < 0.05 and Std. Error of the Estimate 12.25409 so that the conclusion produces a significant positive relationship between the three variables analyzed).
Hubungan Persepsi Iklim Organisasi dan Dukungan Organisasi dengan Organizational Citizenship Behavior pada Aparatur Sipil Negara di Pusat Pengembangan dan Pemberdayaan Pendidik dan Tenaga Kependidikan Medan
Authors: Hasibuan Abdi Hardiansah , Fadilah Risyda , Hasanuddin Hasanuddin
Published: August 2022

This study aims to see: The relationship between perceptions of organizational climate and organizational support for Organizational Citizenship Behavior (OCB) in ASN at the Center for the Development and Empowerment of Educators and Education Personnel (P4TK) Medan. This research was conducted on 150 ASN with total sampling technique. The results showed; 1. There is a very significant positive relationship between the perception of organizational climate and organizational support for Organizational Citizenship Behavior (OCB) at the State Civil Apparatus at the Center for the Development of Quality Assurance for Vocational Education (BBPPMPV) BBL Medan. 2. There is a very significant positive relationship between the perception of organizational climate and Organizational Citizenship Behavior (OCB) in the State Civil Apparatus, Center for the Development of Quality Assurance for Vocational Education (BBPPMPV) BBL Medan. 3. There is a significant positive relationship between organizational support and Organizational Citizenship Behavior (OCB), with a correlation coefficient of rx2y = 0.431; p < 0.001; and the effective contribution obtained was 18.6%. The total effective contribution of the two independent variables (perception of organizational climate and organizational support) on Organizational citizenship behavior (OCB) is 48.3%. From these results it is known that there are still 51.7% of the influence of other factors on Organizational Citizenship Behavior (OCB) which was not seen in this study.
Analisis Penerapan Prinsip-Prinsip Desain, Tipografi, dan Warna pada Instagram Feed Senat Mahasiswa Universitas Negeri Medan Tahun 2019
Authors: Permana Anju Oktaviandri , Erdansyah Fuad
Published: August 2022

This study aims to determine the application of design principles, typography and color to the design of the 2019 Senat Mahasiswa Universitas Negeri Medan Instagram Feed which was analyzed by theoretical and empirical studies and then described and interpreted based on the research results. The population in this study were 15 designs for Instagram Feed Senat Mahasiswa Universitas Negeri Medan in 2019 then the research samples taken in this study were 5 designs using the Simple Random Sampling technique based on attractive design characteristics, compatibility between themes and colors in the design, and typographic characteristics. used in the design by setting aside things that are still less relevant to the population to be studied. The research method used is a qualitative method. The results of the research on this design were assessed by researchers and 3 raters who have described and interpreted the data tabulation and as for the results in the 2019 Senat Mahasiswa Universitas Negeri Medan Instagram Feed design research, it can be concluded that the quality of the application of design principles, typography and color as a whole is contained in Good category.
Kajian Status Sosial Ekonomi Keluarga dalam Pemilihan Asuransi Kesehatan
Authors: Noerjoedianto Dwi , Subandi Andi
Published: August 2022

Health insurance is a health financing guarantee that needs to be chosen to face health risks and increasingly expensive medical costs.  Socio-economic status is related to the level of ability that a person has in buying health services. Currently, 68.25% of the population who have compulsory health insurance (BPJS Kesehatan, Jamkesda and Company Insurance) have voluntary insurance and 1% have voluntary insurance. The purpose of this study was to determine the relationship between family socioeconomic status and the choice of health insurance in Jambi City. The research design was a cross sectional survey method with a population of 183,448 households focusing on a sample of 164 households, the sampling technique was probability sampling. Analysis with Chi-Square test, shows that there is a relationship between education (pv= 0.021) on the choice of health insurance and there is no relationship between income (pv=0.324), occupation (pv=0.644), number of family members (pv=0.377),   and asset ownership (pv=0.063) on the selection of health insurance.
Penggunaan Abreviasi dan Akronim dalam Berkomunikasi oleh Pengguna Media Sosial
Authors: Ekalestari Susi , Barus Efendi , Hasibuan Abdurrozzaq , Ananda Tristi
Published: August 2022

This study aims to determine the use of abbreviations and acronyms in communication by social media users. Therefore, the problem in this research is focused on the formation of abbreviations and acronyms in communication on social media. Data collection was carried out by visiting 20 accounts on social media such as Instagram, Facebook, Twitter, and Whatsapp Groups and collecting forms of abbreviations and acronyms used by social media users. The data from this study are forms of abbreviations and acronyms that have been collected from social media. Furthermore, the data were analyzed qualitatively referring to the theory of Kridalaksana (2010). This study found that there are six forms of abbreviations and acronyms used by social media users, namely: 1. Perpetuation of the first letter of each component, 2. Perpetuation of the first two letters of each component, 3. Perpetuation of the first three letters of each component, 4. Perpetuation of the first two letters of the first component and the first three letters of the second component, 5. The preservation of the last syllable of each component, 6. The preservation of various letters and syllables that are difficult to formulate. Furthermore, there were also two formations of abbreviations and acronyms that did not fix to the rules for the formation of abbreviations and acronyms in the General Indonesian Spelling Guidelines, namely, first, the formation of abbreviations and acronyms by preserving the letters of two or three components based on sound or pronunciation of these components. Second, the formation of abbreviations and acronyms perpetuates elements or sounds that are considered to represent the meaning of the components experiencing abbreviations and acronyms. Both of these formations are carried out by perpetuating any letters and syllables of one component that appear to have no relationship or connection with the components undergoing the process of abbreviations and acronyms.
Pengaruh Kualitas Pelayanan dan Kualitas Produk Terhadap Kepuasan Pengguna Layanan Hak Tanggungan Elektronik (HT-el)
Authors: Noni Angela Maria , Azhar Azhar , Putra Raniasa
Published: August 2022

This study aims to determine the effect of service quality and product quality on user satisfaction of electronic mortgage service (HT-el) users at the Land Office of Ogan Komering Ulu Regency. In order to approach this problem, Kotler and Keller's theoretical reference is used, where customer satisfaction is a comparison of service quality and product quality which is expected by customers with what they receive. Meanwhile, the operational theory uses the E-GovQual model by Papadomichelaki and Mentzas, and the product quality model by Kotler and Armstrong. The data were collected through the distribution of questionnaires and analyzed quantitatively. This study concludes that service quality affects the satisfaction of HT-el service users by 48.7 percent, product quality affects the satisfaction of HT-el service users by 63.3 percent, henceforth service quality and product quality simultaneously have a positive and significant effect of 66.1 percent. For this reason, it is necessary to improve the quality of electronic mortgage (HT-el) services, especially on the support capacity (citizen support) involving HT-el implementers. It is recommended to the Land Office to enforce some activities which are related with improving the technical skills and developing the character of HT-el implementers, that is employees of the Land Office of Ogan Komering Ulu.
Pertanggungjawaban Pidana terhadap Pelaku Tindak Pidana Penggelapan Iuran Dana Badan Penyelenggara Jaminan Sosial Ketenagakerjaan
Authors: Miraharja Didik
Published: August 2022

This study aims to determine how the criminal responsibility for the perpetrators of the crime of embezzling funds from the Social Security Administering Body. The type of research used is normative legal research with a statutory approach, which is supported by data obtained from library data including books, laws and regulations, and court decisions, and in this case the data is processed using qualitative analysis. Based on the results of the study that the application of elements of the criminal act of embezzlement of BPJS Employment fund contributions which is carried out continuously is regulated in Article 374 Jo. Article 64 (1) of the Criminal Code whose elements contain elements of "Whoever" and elements of "Intentionally unlawfully possessing goods that are wholly or partly owned by others but which are in their power not because of a crime due to an employment relationship or because of a search or because of obtaining wages for it. Provisions for sanctions against criminal acts of embezzlement of BPJS Employment fund contributions which are carried out continuously where the sanctions for perpetrators are prosecuted with imprisonment for 1 year and 6 months, but with various considerations from the panel of judges, where the Judge has imposed a prison sentence of 2 (two) years, although the criminal sanctions imposed by the judge are heavier than the demands of the public prosecutor.
Relationship between the Pandemic Climate of Covid-19 and Leadership Styles on the Employees Performance of the Secretariat Regional on Kupang City Government
Authors: Riwukore Jefirstson Richset , Ora Fellyanus Haba , Marnisah Luis
Published: August 2022

The purpose of study was to analyze and prove the influence of the pandemic climate of Covid-19 and leadership style to employee performance. This research was conducted for three months, namely January-March 2022 at the Regional Secretariat of the Kupang City Government. This research is classified as quantitative research using methods of survey, confirmative, and verification. The research population was 1034 employees, the sampling was determined using the proportional stratified random sampling method with the Slovin technique, so that the research sample used was 288 employees. The types of data consist of primary and secondary data, which were obtained by techniques in questionnaire, observation, documentation, and interview. Data analysis used multiple linear regression using SPPS v 2.1 application. The results showed that the COVID-19 pandemic climate, either partially or simultaneously, had a positive and significant effect on performance, but leadership style had a negative and insignificant effect on employee performance. The coefficient of determination in this research was 83.7%.
Pengaruh Psychological Well-Being dan Kepuasan Kerja Terhadap Stres Kerja Anggota Himpunan Penerjemah Indonesia
Authors: Panggabean Nadhirotul Husnah , Haris Abdul , Darmayanti Nefi
Published: August 2022

This research aims to determine the influence of psychological well-being and job satisfaction on job stress members of the association of Indonesian translators. This study used a quantitative method in which the sampling technique was through a simple random sampling technique where the subjects in this study amounted to 141 people. Data were collected using was a Likert scale consisting of three scales, namely the psychological well-being scale, job satisfaction scale, and work stress scale. The data analysis technique used multiple regression analysis. The results showed that there was be a significant effect between psychological well-being and job satisfaction on the work stress of HPI members. This is indicated by the coefficient F reg = 15.211 with p < 0.05, and the coefficient R = 0.425 with p < 0.05 and R2 = 0.181. The total contribution of these two variables was 18.1%, while the remaining was 81.9% is influenced by other factors on job stress. From the result of the study, it can be concluded that psychological well-being and job satisfaction jointly affect the work stress of the association of Indonesian translators
Perlunya Tentara Nasional Indonesia Memiliki Angkatan Siber Guna Menghadapi Era Cyber warfare
Authors: Hasan Krida Eva Setyawan
Published: August 2022

This article aims to identify and explain the need for the Indonesian National Armed Forces (TNI) to form a cyber force, given the increasingly rapid development of technology. The problem in this article is focused on the threat of cyber crime, especially for state sovereignty and the emphasis that at this time Indonesia needs the Indonesian National Armed Forces (TNI) for cyber forces to protect and eradicate cyber crime in Indonesia. This article uses the literature study method by taking references from various trusted sources and related articles. The results of the study show that currently cyber war is in sight, in the sense that every country must be prepared for this. For example, espionage carried out by other countries against Indonesia certainly threatens Indonesia's security. Therefore, it is necessary to establish a fourth dimension, namely the cyber army or the Cyber Force TNI for the creation of maximum and equitable national defense and security. As with various countries that already have a special military force for cyber, Indonesia must also immediately realize it.
Pengaruh Dukungan Sosial Teman Sebaya dan Regulasi Diri Belajar Terhadap Resiliensi pada Siswa SMA Tunas Harapan Mandiri Rantau Prapat
Authors: Siregar Nita Permata Sari , Menanti Asih , Hasanuddin Hasanuddin
Published: August 2022

The purpose of this study was to determine the effect of peer social support and self-regulation in learning on resilience. The population is 200 students with 3 classes and the sample is 166 with random sampling technique. The results of this study indicate that there is a significant positive effect between peer social support on resilience, where the coefficient rx1y = 4.382 with p = 0.000, this means that the better peer social support, the better the resilience. The coefficient of r squared peer social support with the dependent variable of resilience is r2 = 4.382. This shows that resilience is formed by peer social support with a contribution of 12.80%. In the variable of self-regulation in learning with resilience there is also a significant positive relationship where the coefficient rx2y = 18,072 with p = 0.000, this means that the better self-regulation in learning, the better resilience. The coefficient of r squared self-regulation in learning with the dependent variable resiliency is r2 = 0.870. This shows that resilience is formed by self-regulation in learning with a contribution of 67.10%. Similar results came from the variables of peer social support and self-regulation in learning with a significant positive influence resiliency where the coefficient r = 0.894 with p = 0.000 means p <0.010. The determinant coefficient (r2) of the relationship between the predictors of peer social support, self-regulation in learning with the dependent variable resilience is r2 = 0.799. This shows that resilience is formed by self-regulation in learning and peer social support together with a contribution of 79.90%.
Pemanfaatan Podcast Sebagai Media Content Creator Dalam Meningkatkan Pengembangan Diri Mahasiswa
Authors: Rosah Sinta Yanwar , Aesthetika Nur Maghfirah
Published: August 2022

Podcast is one of the results of radio development in the new media era. With te presence of podcasts in today`s increasingly sophisticated technological era, there are many positive impacts, one of which is helping students to be more creative in the audio visual field. This study uses the theory of social cognition about te self as a place where all communication messages can be centralized and easy to channel using internet technology and involve the audience to improve the process of interaction and communication. The purpose of this study is to measure ow much students use podcasts as content creators in self-development. This study uses a quantitative method of observation with data collection tecniques trough questionnaires. This method is used as a reference material to collect information and observations of a subject.  50% of respondns answered agree, 10% of respondents chose strongly agree, but 30% of respondents did not show interests. 5% of respondents` answers expressed doubts about the use of podcasts for sudents in improving interpersonal communication and 5% of respondents` anwers stated that they strongly disagreed with podcast media supporting podcasts as communicative media.