bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Analysis of Total Attenuation Effects and Different Values of
Transmitter Power on Bit Error Rate and Signal-To-Noise Ratio for Free
Space Optical Communication
Authors: Olyaee Saeed , Akbari Mahdi
Published: May 2022

Objective:

In this paper, the performance of pulse position modulation (PPM), nonreturn
zero modulation (NRZ), and return zero modulation (RZ) at signal-to-noise ratio and bit
error rate in free space optical communication is compared. This comparison is performed to obtain
the most effective modulation in atmospheric attenuations. Also, the effect of increasing
transmitter power on the bit error rate and signal-to-noise ratio is investigated.

Methods:

Utilizing a light source with a wavelength of 1550 nm, the system is simulated in
MATLAB by choosing the Kim data transmission link model with different visibility values of 0-
10 km. The analytical equations of free space optical communications are implemented by selecting
appropriate parameters. The effects of weak, moderate, and strong atmospheric attenuation,
geometric loss, and different transmitter powers (1-5 mW) on bit error rate and signal-to-noise
ratio are investigated for all three modulations.

Results:

The results show that PPM is the most effective modulation compared to other modulations
used in this study and shows a better performance in the mentioned atmospheric attenuation
conditions within the given values of bit error rate and signal-to-noise ratio.

Conclusion:

Modulations with lower average power will perform better than other modulations in
bit error rate and signal-to-noise ratio under the same atmospheric attenuation conditions. In PPM
modulation, increasing the transmitter power causes more reduction in the bit error rate than other
modulations used in this paper. Therefore, using this modulation to optimize the power budget in
free space optical communications will be appropriate.
Improved Wasserstein Generative Adversarial Networks Defense Method
Against Data Integrity Attack on Smart Grid
Authors: Li Yuancheng , Wang Xiao , Zeng Jing
Published: May 2022

Background:

As the integration of communication networks with power systems is
getting closer, the number of malicious attacks against the cyber-physical power system is increasing
substantially. The data integrity attack can tamper with the measurement information
collected by Supervisory Control and Data Acquisition (SCADA), which can affect important
decisions of the power grid and pose a significant threat to normal operation.

Objective:

In order to defend against the data integrity attack, and safeguard the normal operation
of the power system, we propose a defense method based on improved WGAN (Wasserstein Generative
Adversarial Networks).

Method:

Firstly, through the training of the discriminator and generator, the discriminator identifies
and eliminates the measurements damaged by the data integrity attack, and the generator uses
the temporal and spatial correlation of the power grid measurements to generate complementary
measurements which are infinitely close to the original normal data. Meanwhile, using the improved
WGAN, the training stability and the convergence speed are significantly improved, and
the quality of complementary data is much higher.

Results:

Extensive simulation experiments were carried out in the IEEE-14 and IEEE-118 standard
bus systems. By comparing the deviations between the complementary data and normal data
under different iteration times and methods, the mean squared error of the deviations with the
proposed method is greatly reduced than traditional methods. The excellent recovery performance
of the defense method based on improved WGAN is verified.

Conclusion:

A smart grid data integrity attack defense method based on improved WGAN is proposed
to detect data integrity attacks, and the experimental results demonstrate the recovery effectiveness
of the proposed method.
Current Ion Channel-targeted Drugs and Potential of Venom-derived Peptides
as a Therapeutic New Modality
Authors: Okada Toshiaki , Taira Hikaru , Kimura Tadashi
Published: May 2022

Ion channel function is essential for maintaining life and is involved in various physiological activities. However, various factors such as heredity, aging, wounding, and diseases can cause abnormalities in ion channel function and expression. Such channel abnormalities can interfere with the
healthy activities of the organism and threaten the maintenance of life. There are many types of ion
channels, and their roles are diverse. In recent years, it is becoming clear that ion channels are intrinsically involved in various diseases beyond what has been previously thought. Therefore, it is highly desirable to develop more drugs by increasing various channels for drug discovery and various diseases.
In this review, we will introduce the ion channels currently targeted for drug discovery and the mechanisms by which these channels are involved in diseases, focusing on information compiled on the internet. Currently, the target ion channels for drug development and treating diseases are becoming
more diverse. The drugs under development are not only small molecules, which account for most of
the ion channel drugs developed to date, but also different types of drugs, such as antibodies, peptides,
and oligonucleotides. Due to low specificity, many existing ion channel drugs have side effect problems. Diversification of drugs may facilitate the resolution of these problems, and venom-derived peptide drugs are a promising class of future agents that can contribute to this end. In the last part of this
review, the status of drug development of venom-derived peptides will also be discussed.
ROS Modulating Inorganic Nanoparticles: A Novel Cancer Therapeutic
Tool
Authors: Amaldoss Maria John Newton , Sorrell Charles Christopher
Published: May 2022

The term "reactive oxygen species" (ROS) refers to a family of extremely reactive molecules.
They are crucial as secondary messengers in both physiological functioning and the development
of cancer. Tumors have developed the ability to survive at elevated ROS levels with significantly
higher H2O2 levels than normal tissues. Chemodynamic therapy is a novel approach to cancer treatment
that generates highly toxic hydroxyl radicals via a Fenton/Fenton-like reaction between metals
and peroxides. Inorganic nanoparticles cause cytotoxicity by releasing ROS. Inorganic nanoparticles
can alter redox homoeostasis by generating ROS or diminishing scavenging mechanisms. Internalized
nanoparticles generate ROS in biological systems independent of the route of internalisation. This
method of producing ROS could be employed to kill cancer cells as a therapeutic strategy. ROS also
play a role in regulating the development of normal stem cells, as excessive ROS disturb the stem
cells' regular biological cycles. ROS treatment has a significant effect on normal cellular function. Mitochondrial
ROS are at the centre of metabolic changes and control a variety of other cellular processes,
which can lead to medication resistance in cancer patients. As a result, utilising ROS in therapeutic
applications can be a double-edged sword that requires better understanding.
Analisis kemampuan metakognitif siswa SMA kelas XI program IPA dalam pemecahan masalah matematika
Authors: Suryaningtyas Sri , Setyaningrum Wahyu
Published: May 2022

Penelitian ini bertujuan untuk mendeskripsikan kemampuan metakognitif siswa SMA kelas XI program IPA dalam memecahkan masalah matematika. Penelitian ini merupakan penelitian survei yang melibatkan siswa SMA negeri di Kabupaten Kulon Progo dan Gunungkidul. Sampel penelitian adalah 160 siswa kelas XI program IPA yang berasal dari 6 sekolah yang mewakili tiga kategori capaian akademik siswa yaitu tinggi, sedang, dan rendah. Pengambilan sampel menggunakan teknik stratified random sampling. Pengumpulan data dilakukan menggunakan tes dan angket Metacognitive Awarenes Inventory (MAI). Data dianalisis secara kuantitatif dan kualitatif. Hasil penelitian menunjukkan bahwa 44% siswa mempunyai kemampuan metakognitif tinggi, 10% siswa mempunyai kemampuan metakognitif sedang, dan 46% siswa mempunyai kemampuan metakognitif rendah. Sebagian besar siswa yang mempunyai kemampuan metakognitif tinggi mampu menggunakan kemampuan metakognitifnya selama memecahkan masalah. Tidak semua siswa yang mempunyai kemampuan metakognitif sedang mampu menggunakan kemampuan metakognitifnya selama memecahkan masalah. Hampir semua siswa yang mempunyai kemampuan metakognitif rendah tidak menggunakan kemampuan metakognitifnya selama memecahkan masalah. Secara keseluruhan siswa kurang maksimal menggunakan kemampuan metakognitif selama memecahkan masalah. AbstractThis study aimed to describe the metacognitive abilities of eleventh-grade high school students in the science program in solving math problems. This study was a survey involving public high school students in Kulon Progo and Gunungkidul Regency, Indonesia. The research sample was 160 students from the eleventh-grade science program from 6 public high schools representing three categories of student academic achievement, namely high, medium, and low. The sample was determined using a stratified random sampling technique. Data collection was carried out using a test and Metacognitive Awareness Inventory (MAI) questionnaire. Data were analyzed quantitatively and qualitatively. The results showed that 44% of students had high metacognition abilities, 10% of students had moderate metacognition abilities, and 46% of students had low metacognition abilities. Most students who had high metacognitive abilities were able to use their metacognitive abilities while solving problems. Not all students who had moderate metacognition abilities were able to use their metacognitive abilities while solving problems. Almost all students who had low metacognition abilities didn’t use their metacognitive abilities while solving problems. Overall, students did not use metacognition skills maximally during problem-solving.
Keefektifan pendekatan contextual teaching learning dan problem solving ditinjau dari prestasi dan kepercayaan diri siswa
Authors: Susanti Usi , Wutsqa Dhoriva Urwatul
Published: May 2022

Tujuan dari penelitian ini adalah untuk mendeskripsikan keefektifan pendekatan Contextual Teaching and Learning (CTL) dan problem-solving ditinjau dari prestasi belajar dan kepercayaan diri. Penelitian ini merupakan penelitian eksperimen semu dengan populasi semua siswa kelas VII SMP Negeri 1 Yogyakarta Tahun Ajaran 2015/2016 yang terdiri dari delapan kelas. Sampel penelitian dipilih secara acak, dari delapan kelas yang ada terpilih dua kelas yaitu VII A dan VII B. Kelas VII A sebagai kelas eksperimen I diajar dengan pendekatan CTL dan kelas VII B sebagai kelas eksperimen II diajar dengan pendekatan problem solving. Instrumen yang digunakan dalam penelitian ini adalah tes prestasi belajar dan angket kepercayaan diri siswa. Data dianalisis menggunakan one sample t-test yakni digunakan untuk menyelidiki keefektifan pendekatan CTL dan problem solving; dan Multivariate Analysis of Variance (Manova), digunakan untuk menyelidiki perbedaan keefektifan antara pendekatan CTL dan problem solving. Temuan penelitian menunjukkan bahwa pendekatan CTL dan problem solving masing-masing efektif ditinjau dari prestasi belajar, tetapi tidak efektif ditinjau dari kepercayaan diri siswa pada pembelajaran materi himpunan kelas VII. Untuk perbedaan keefektifan, hasil temuan menunjukkan bahwa tidak terdapat perbedaan keefektifan antara pendekatan CTL dan problem solving ditinjau dari prestasi belajar dan kepercayaan diri. The effectiveness of the CTL and problem-solving approaches in terms of the achievement and self-confidence AbstractThe purpose of this study is to describe the effectiveness of Contextual Teaching and Learning (CTL) and problem-solving approaches in terms of achievement and self-confidence. This study was quasi-experiment research with the entire population of the seventh-grade students of State Junior High School 1 Yogyakarta in 2015/2016 which consisted of eight classes. The research sample classes VIIA and VII B were randomly selected from the eight classes. Class VII A as the experiment class I was taught by using the CTL approach and class VII B as the experiment class II was taught by using the problem-solving approach. The instruments of the study were an achievement test and the students’ self-confidence questionnaire. The data were analyzed using a one-sample t-test to investigate the effectiveness of CTL and problem-solving approach; and Multivariate Analysis of Variance (Manova), to investigate the difference between the effectiveness of CTL and problem-solving approaches. The research findings indicate that the CTL and problem-solving approaches each are effective in term of achievement, but it’s not effective in term of and self-confidence in the teaching of the set topic to the seventh-grade students. For differences ineffectiveness, the findings indicate that there is no difference between the CTL and problem-solving approaches in terms of students’ achievement and self-confidence.
Investigating mathematical conversation in remote learning of mathematics during the covid-19 pandemic
Authors: Wahyuningrum Ayunda Sri , Latifah Titin
Published: May 2022

Remote learning that must be carried out by schools in Indonesia during the COVID-19 pandemic was a challenge for most teachers. This study aimed to investigate mathematical conversations maintained by the teachers in remote learning of mathematics during the COVID-19 pandemic. It was a descriptive qualitative study that was analyzed based on school time during the pandemic, online teaching platforms used, the way the teachers carry out remote learning of mathematics, and how the teachers and the students interact. The data were collected from three mathematics teachers and eight students in a public senior high school in Bekasi District, Indonesia. They were interviewed by phone, and then the results of the interview were complemented by several captures of the students' conversations when learning mathematics via WhatsApp. This study revealed that remote learning of mathematics was still dominated by a rigid or less interactive learning environment, which could be seen from how the teachers gave mathematics problems, questions, and instructions, as well as how they responded to student questioning.
Lipases: Sources of Acquisition, Ways of Production, and Recent Applications
Authors:   Postgraduation in Biotechnology, Federal University of Alfenas, Gabriel Monteiro da Silva Street, 700. Center, Alfenas 37130-001, MG, Brazil, Santos Myllena R. , Hirata Daniela B. ,   Institute of Chemistry, Federal University of Alfenas, Gabriel Monteiro da Silva Street, 700. Center, Alfenas 37130-001, MG, Brazil, Angelotti Joelise A. F. ,   Institute of Chemistry, Federal University of Alfenas, Gabriel Monteiro da Silva Street, 700. Center, Alfenas 37130-001, MG, Brazil
Published: May 2022

Enzymes are extensively used in biotechnological processes in several areas of industry. They are sustainable and safe, and their specificity is another characteristic that improves the performance in the process. Among enzymes, lipase is relevant due to the ability to play different roles in the industry and the possibility of collecting them from microbial sources that are found in industrial residues. This can reduce the costs of enzyme production. In relation to that, lipase immobilization is an interesting process that allows the enzymes to be reused and improves enzyme robustness. Among them, the cross-linked enzyme aggregates (CLEAs) methodology is attractive due to its simplicity, low cost (given the absence of support), and greater interaction with the substrate. Thus, in this review, we discussed the potential of lipase. We reviewed the traditional and new sources of obtaining lipases, along with the ways of improving production, activity, and application in the industry.
Developing and Testing a Protocol for Managing Cardiopulmonary Resuscitation of Patients with Suspected or Confirmed COVID-19: In Situ Simulation Study
Authors: Sowan Azizeh , Heins Jenny , Dayton Christopher , Scherer Elizabeth , Tam Wing Sun , Saikumar Haritha
Published: May 2022

Background

Resuscitating patients with suspected or confirmed COVID-19 imposes unique challenges to organizations and code blue teams. Studies that applied the American Heart Association (AHA) COVID-19–related Interim Resuscitation Guideline and similar European guidelines are scarce.

Objective

This study aimed to develop and test a cardiopulmonary resuscitation protocol based on the AHA COVID-19–related Interim Resuscitation Guideline.

Methods

The study was conducted as an in situ simulation in a medical intensive care unit. The COVID-19 cardiopulmonary resuscitation protocol was created and validated by 11 health care team members and tested using 4 simulation sessions where 46 code blue team members participated. During the simulation, we observed role clarity, the effectiveness of communication, team dynamics, infection control measures, and the availability of essential supplies and equipment.

Results

The main issues identified in each simulation session were debriefed to the code blue teams and used to further revise the protocol. These include the assignment of tasks, availability of equipment and supplies, and failure of communication between the in-room and out-of-room teams. Solutions included changes in the placement of team members and roles and responsibilities; the creation of an isolation code medication package, a respiratory therapy kit, and an isolation code blue bag; and the use of two-way radios and N-95 masks with eye goggles to enhance communication between the teams.

Conclusions

This study shed light on the challenges to implement the AHA COVID-19–related Interim Resuscitation Guideline. The in situ simulation was an effective approach for rapid training, identifying unreliable equipment and ineffective and inefficient workflow, and managing the complexity of the physical environment.
COVID-BOT: An Intelligent System for Screening COVID-19 Vaccination Status Among University Students (Preprint)
Authors: Johannesburg University , Amusa Lateef , Twinomurinzi Hossana
Published: May 2022

BACKGROUND

The spread of coronavirus continues around the world, causing a variety of problems in human health and the economy. One of the most important approaches to control the spread of this disease is to use a technological intervention based on Artificial Intelligence, such as a Chatbot system. The use of chatbots can aid in the fight against the spread of COVID-19 disease.

OBJECTIVE

This paper introduced a COVID-Bot, an intelligent interactive system that can help screen students and confirm whether they have received COVID-19 vaccine or not based on the student's vaccination dataset.

METHODS

The design and development of COVID-Bot follow the principles of the design science research process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot Chatbot Application Programming Interface (API).

RESULTS

An evaluation was carried out to determine the system's usefulness, and over 80% of the participants agreed that the Chatbot functions well, fits well with students’ mobile devices and their lifestyle, produces accurate and consistent responses, and easy to use.

CONCLUSIONS

This research presented the design and development of an Chatbot system for COVID-19-related issues, and the application of the system can aid in the fight against the spread of COVID-19 disease.
Association of the Extent of Internet Use by Patients With Cancer With Social Support Among Patients and Change in Patient-Reported Treatment Outcomes During Inpatient Rehabilitation: Cross-sectional and Longitudinal Study (Preprint)
Authors: Lange-Drenth Lukas , Schulz Holger , Endsin Gero , Bleich Christiane
Published: May 2022

BACKGROUND

Given the increasing number of cancer survivors and their rising survival rates, rehabilitation plays an increasingly important role. Social support among patients is an essential element of inpatient and day care rehabilitation. The internet can empower patients with cancer to become more active health care consumers and facilitate information and supportive care needs. By contrast, therapists suspect that high internet use during rehabilitation may severely limit social interactions between patients, thus interfering with the patients’ rehabilitation program and jeopardizing treatment success.

OBJECTIVE

We hypothesized that the extent of internet use would be negatively related to social support among patients with cancer during their clinical stay as well as fewer improvements in patient-reported treatment outcomes from the first to the last day of their clinical stay.

METHODS

Patients with cancer participated during their inpatient rehabilitation. Cross-sectional data, such as the extent of participants’ internet use and perceived social support among patients, were collected during the last week of their clinic stay. The treatment outcomes, that is, participants’ levels of distress, fatigue, and pain, were collected on the first and last day of the clinic stay. We used multiple linear regression analysis to study the association between the extent of internet use and social support among patients with cancer. We used linear mixed model analyses to study the association between the extent of internet use by patients with cancer and the change in patient-reported treatment outcomes.

RESULTS

Of the 323 participants, 279 (86.4%) participants reported that they used the internet. The extent of the internet use (t315=0.78; P=.43) was not significantly associated with the perceived social support among the participants during their clinical stay. In addition, the extent of participants’ internet use during their clinical stay was not associated with changes in participants’ levels of distress (F1,299=0.12; P=.73), fatigue (F1,299=0.19; P=.67), and pain (F1,303=0.92; P=.34) from the first to the last day of their clinical stay.

CONCLUSIONS

The extent of internet use does not seem to be negatively associated with the perceived social support among patients with cancer or with the change in patients’ levels of distress, fatigue, or pain from the first to the last day of their clinical stay.
Faktor yang berhubungan dengan kepatuhan berobat penderita tuberkulosis paru di kota Sorong
Authors: Depo Meliana , Pademme Dirgantari
Published: May 2022

Tuberculosis is still a major burden of disease in Indonesia. The disease is highly transmissible, and if it is resistant to drugs, treatment can be take a long time. Patients with pulmonary tuberculosis will be difficult to cure if there is no regular treatment. This study aims to identify factors related to patient adherence to tuberculosis treatment in Sorong City. The study uses a cross-sectional design with 72 respondents. Data collection through interviews with a structured questionnaire. Samples were pulmonary tuberculosis patients recorded as having followed treatment for at least two months from 2018 to 2019 at RSUD Sorong. Data were analysed using the Chi-square test. The results showed that 55.6% of respondents adhered to treatment for pulmonary tuberculosis. The variables associated with adherence in patients with pulmonary tuberculosis in Sorong City were drug side effects (p-value = 0.013) and the support of the supervisor taking medication (p-value = 0.000). In order to improve adherence to tuberculosis treatment, health workers should create a tracking system for patients who are non-compliant and expand case management’s capacity to advise patients.
An Improved Stacked Auto Encoder based Data Compression Technique for WSNs
Authors: Kumble Lithin , Patil Kiran Kumari
Published: May 2022

Abstract: Because of the limited energy available to sensor nodes in wireless sensor networks (WSNs), data compression is critical in these networks. The majority of the time, data communication results in energy consumption; however, by minimizing data transmission and reception, the lifetime of sensor nodes may usually be extended significantly. To compress sensor data, we present a new Improved Stacked RBM Auto-Encoder model, which is built of two layers: an encode layer and a decode layer, which is described in detail in this work. Data from sensors is compressed and decompressed in the encode layer; data from sensors is reconstructed and compressed in the decode layer. The encode layer and the decode layer are both made up of four conventional Restricted Boltzmann Machines that are used throughout the system (RBMs). We also present an energy optimization strategy that, by trimming the parameters of the model, can further minimize the energy consumption of the model storage and calculation. We evaluate the model's performance by comparing it to the data acquired by Intel Lab in the environment. Assuming that the model's compression ratio is 10, the average Percentage RMS Difference value is 9.84 percent, and the average temperature reconstruction error value is 0.312 degrees Celsius. It is possible to minimize the energy consumption of node communication in WSNs by 92 percent. When compared to the traditional method, the proposed model achieves higher compression efficiency and reconstruction accuracy while maintaining the same compression ratio as the old method. The results of our experiments demonstrate that the new neural network model can not only be applied to data compression for WSNs, but it also has high compression efficiency and an excellent transfer learning capability. Keywords: Data Compression; Stacked-Autocoder; transfer learning; energy, consumption optimization
Design and Fabrication of Rehabilitation Instrument for Upper and Lower Limb
Authors: Borse Ashish R. , Bhoir Hardik K. , Gawad Nishant V. , Jaiswal Pritesh R. , Choudhari Prof. Dipak J.
Published: May 2022

Abstract: In today’s world, most of the people have a busy and hectic schedule. They hardly get time to look after their physical health which then affects them in their elderly age or in some cases at a young age. To take care of such physical problems rehabilitation is necessary. Rehabilitation improves and returns functional capacity and quality lifespan of people with physical injuries or disorders. Rehabilitation is not only used for treatment of physical diseases but also in sports industry. It helps in fast recovery of athletes and increases their performance on the field. Our project proposes a design of a rehabilitation instrument for upper and lower limbs. The upper limb rehabilitation instrument is designed for our shoulders and arm. It is designed to provide natural shoulder and arm movements in all directions possible. The lower limb rehabilitation instrument focuses mostly on knee and ankle joints and the EMS (Electro –Muscle Stimulator) is used to send external electric signals to the inactive muscles (muscles which have lost contact with the brain). The external electric signals sent are similar to the signals sent by brain to muscles. These signals help in contraction and expansion of muscles and thus, help in movement of that part of the body. The Rehabilitation instrument we are developing would be user-friendly, compact and budget friendly. Index Terms: Rehabilitation, Upper limb, Lower limb, Shoulder flexion, Shoulder extension, elbow inward rotation, elbow outward rotation, Paralysis, Physiotherapy.
Remote Patient Health Monitoring System
Authors: Patil Tanmay , Meshram Tanish , Rai Ankit , Dadwal Manav , Narkhede Prof. N.
Published: May 2022

Abstract: With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to database and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. Keywords: IoT, MCU, Oxygen Level, Humidity
Stress Detection Using Emotions: A Survey
Authors: Bright Godwin
Published: May 2022

Abstract: Stress is an unpleasant emotional state that people experience in situations such as sitting in front of a computer for long periods of time. Stress can be beneficial, but if it is continuous, it can be harmful to your health. As a result, it is critical to tell the person about his or her harmful lifestyle and even to warn him or her before an acute condition develops. Emotion can be seen in a variety of ways, including facial expressions and movements, voice, and written material. Emotion Detection in Text Documents is a content-based classification issue that incorporates concepts from Natural Language Processing and Machine Learning. The approaches utilized in emotion recognition based on textual data are discussed in this work. Keywords: Emotion, Stress, Reddit, Detecting, Dataset.
Strategi Komunikasi Pemasaran Pariwisata Dinas Pariwisata Aceh Tengah Dalam Promosi Industri Wisata Lokal
Authors: Khairina Ulfa
Published: May 2022

This study aims to examine the strategies used and implemented by Central Aceh Tourism Office in promoting the regional tourism industry to local and foreign tourists. This research also look at how by Dinas Pariwisata Aceh Tengah in promotion of local tourism industry to domestic and foreign tourists. The research also looks at how Central Aceh Tourism Office conducts tourism marketing communications by implementing the stages of the communication strategy. This research use descriptive qualitative approach. Data collection techniques using interviews and participatory observation. Determination of informants is done on pruposive sampling technique. Indormants used as primary data sources in this study were representatives from the Central Aceh Tourism Office and the tourist they met in the tourism location. The result showed that Central Aceh Tourism Office was not maximal in carrying out tourism marketing communications.
The Perceived Students Opinion on Post-Graduate Job oppurtunities: Finding From UIN Ar-Raniry Islamic Communication and Broadcasting Master Programme
Authors: Hasan Ridwan Muhammad , Jailani Jailani , Jasafat Jasafat
Published: May 2022

This research is a descriptive study that examines the development of Postgraduate Study Programs as well as to revitalize and to determine perceptions of study program work opportunities. Islamic Communication and Broadcasting Postgraduate at UIN Ar-Raniry, the alumni to become practitioners of political communication in various fields of the world of work, both government and private lines, are the study program of Islamic Communication and Broadcasting (KPI). To make it even simpler, the researcher made only two problem formulations; How to revitalize job opportunities for study program postgraduate students. Postgraduate Islamic Communication and Broadcasting Becomes a Political Communication Practitioner for the 2016/2018 class. And how is the process and influence of perceptions of interest in job opportunities into political communication on interest in choosing postgraduate Islamic communication and broadcasting study programs at UIN Ar-Raniry Banda Aceh. In this study, researchers used a data collection technique using a tracer study because this technique was not only useful for the internal Postgraduate Study Program of Islamic Communication and Broadcasting, Ar-Raniry State Islamic University, but also became a bridge between the Postgraduate and stakeholders. Tracer studies. Tracer Study to be able to measure and track the performance and suggestions of graduates and graduate users so that clear indicators can be obtained about the number, future job profiles, and competencies required by the world of work
Pengembangan Wisata Alam Bur Telege
Authors: Adlin Nur Wulan
Published: May 2022

This article aims to see how the development of Bur Telege tourism began, how the community responded to Bur Telege tourism, and how it impacts the community around tourism locations. The research method used is a qualitative research method with a descriptive type of research. The power collection techniques used are interviews, observation, and documentation. The resource persons in this study were tourism managers, village heads, a village youth, and the community. The results of this study indicate that the formation of Bur Telege tourism originated from the idea of the village youth of Hakim Bale Bujang who was later supported by the community. The community response to this tourism development is very positive because this tour positively impacts the Hakim Bale Bujang community, such as easy access to their area, being economically empowered, and providing jobs for village youths who do not have permanent employment.

Abstrak

Artikel ini bertujuan untuk melihat bagaimana perkembangan pariwisata Bur Telege dimulai, bagaimana respon masyarakat terhadap pariwisata Bur Telege, dan bagaimana dampaknya terhadap masyarakat di sekitar lokasi wisata. Metode penelitian yang digunakan adalah metode penelitian kualitatif dengan jenis penelitian deskriptif. Teknik pengumpulan daya yang digunakan adalah wawancara, observasi, dan dokumentasi. Narasumber dalam penelitian ini adalah pengelola wisata, kepala desa, pemuda desa, dan masyarakat. Hasil penelitian ini menunjukkan bahwa terbentuknya wisata Bur Telege berawal dari ide pemuda desa Hakim Bale Bujang yang kemudian didukung oleh masyarakat. Respon masyarakat terhadap pengembangan wisata ini sangat positif karena wisata ini memberikan dampak positif bagi masyarakat Hakim Bale Bujang, seperti akses mudah ke daerah mereka, pemberdayaan ekonomi, dan penyediaan lapangan pekerjaan bagi pemuda desa yang tidak memiliki pekerjaan tetap.
Acute Severe Aortic Regurgitation from Catastrophic Pannus Obstruction in a Patient with Mechanical Aortic Valve Replacement
Authors: Panchal Ankur , Khalil Ramzi , Lygouris Georgios , Biederman Robert W. W. , Kyvernitakis Andreas
Published: May 2022

A 69-year-old woman with mechanical aortic valve presented with
decompensated heart failure. Emergent echocardiogram and fluoroscopy
demonstrated acute aortic regurgitation due to a dysfunctional
mechanical aortic valve and non-obstructive coronary disease. An
emergent valve replacement was performed confirming fixed-open valve
with pathology demonstrating obstructive pannus formation without
thrombosis or vegetation.
Performance of the newly invasive fall armyworm Spodoptera frugiperda on different food plants
Authors: Huang Li-Li , Xue Fangsen , Wan Jianchun , Tang Jianjun , Liang Yuyong , He Hai-Min
Published: May 2022

The influence of four food plants (corn, peanut, soybean and sugarcane)
on life-history traits of the fall armyworm (FAW) Spodoptera frugiperda
was examined in the laboratory at 25±1 °C and a photoperiod of L:D 15:9
(15 h light:9 h dark). The leaf contents of the total flavonoids,
reducing sugars, sucrose and C/N ratio were also tested. The FAW fed on
corn leaves showed significantly shorter larval and pupal development
times, larger body weight, higher growth rate, lower weight loss,
smaller SSD, shorter preoviposition period and higher fecundity than
those fed on peanut, soybean and sugarcane leaves. However, FAW
successfully completed its whole life cycle and exhibited higher
fecundity in peanut, soybean and sugarcane. The FAW showed a protogyny
phenomenon because the pupal development stage was significantly longer
in males than females. There was a positive relationship between pupal
weight and fecundity. However, the relationships between larval
development time and pupal weight and between fecundity and longevity
were different among different food plants. The leaf contents of the
total flavonoids, reducing sugars, and sucrose and the C/N ratio
differed significantly among the different food plants. We discuss the
influences of these leaf nutritional contents on larval development time
and pupal weight. These findings can help us to better understand the
variation in life-history traits of the FAW and may be critical for the
development of strategies to predict infestation levels.
Predictive Metabolomic Markers in Early to Mid-pregnancy for Gestational Diabetes Mellitus: A Prospective Test and Validation Study
Authors: Zhu Yeyi , Barupal Dinesh K. , Ngo Amanda L. , Quesenberry Charles P. , Feng Juanran , Fiehn Oliver , Ferrara Assiamira
Published: May 2022

Gestational diabetes mellitus (GDM) predisposes pregnant individuals to perinatal complications and long-term diabetes and cardiovascular diseases. We developed and validated metabolomic markers for GDM in a prospective test-validation study. In a case-control sample within the PETALS cohort (GDM n = 91 and non-GDM n = 180; discovery set), a random PETALS subsample (GDM n = 42 and non-GDM n = 372; validation set 1), and a case-control sample within the GLOW trial (GDM n = 35 and non-GDM n = 70; validation set 2), fasting serum untargeted metabolomics were measured by gas chromatography/time-of-flight mass spectrometry. Multivariate enrichment analysis examined associations between metabolites and GDM. Ten-fold cross-validated LASSO regression identified predictive metabolomic markers at gestational weeks (GW) 10–13 and 16–19 for GDM. Purinone metabolites at GW 10–13 and 16–19 and amino acids, amino alcohols, hexoses, indoles, and pyrimidine metabolites at GW 16–19 were positively associated with GDM risk (false discovery rate <0.05). A 17-metabolite panel at GW 10–13 outperformed the model using conventional risk factors, including fasting glycemia (area under the curve: discovery 0.871 vs. 0.742, validation 1 0.869 vs. 0.731, and validation 2 0.972 vs. 0.742; P < 0.01). Similar results were observed with a 13-metabolite panel at GW 17–19. Dysmetabolism is present early in pregnancy among individuals progressing to GDM. Multimetabolite panels in early pregnancy can predict GDM risk beyond conventional risk factors.
THE EXPLORATION OF UNIVERSITY STUDENTS’ PERCEPTIONS OF USING TECHNOLOGY IN ACADEMIC WRITING CLASSROOMS
Authors: Mali Yustinus Calvin Gai
Published: May 2022

This study explores university students’ perceptions of the usefulness of technology, the frequency of using technology, a technology tool that the students like the most, and perceptions if the technology they like the most helps them meet the characteristics of good writing. To meet the research goals, sixty-seven undergraduate students of a private university in Indonesia were asked to respond to a close-ended online questionnaire that surveyed their perceptions of using technology in their academic writing classroom. The findings indicate that an online dictionary, Google search engine, and Google translate are the technology that the students frequently use and consider useful to enhance their writing. Further, an online grammar checker is found to be a technology tool that the students like the most, and they feel that the tool can help them meet the characteristics of good writing. Recommendations for teaching practices using the technology and directions for further research are discussed.
Determinants of Tax Incentives and the Effect of Corporate Tax Rate on the Foreign Direct Investment
Authors: Abdulla Shene M. Kamaran , Ali Hazhar K.
Published: May 2022

Corporate tax incentives are granted by governments to encourage foreign direct investment FDI. While the tax policy in Iraq varies for both domestic and foreign investments, the Iraqi government offers tax holidays between 3 to 10 years to attract foreign investors to do their desirable investments. The objective of this research is to analyze how Iraqi's corporate tax rate affects FDI, and study the comparison between Iraqi and KRG tax policies. The data are annual observations of the Iraqi tax rate which is the net percentage of profit, and FDI net percentage of GDP. The time-series data from 2005 to 2019 were employed. Three distinct sorts of tests are engaged in this research, the first stage unit root test is conducted to determine the stationary of the data, secondly, Johansen co-integration test was used to find co-integration between variables, and finally, the Granger Causation test is used to determine causality among variables over the period. The finding result shows that the tax rate and FDI are co-integrated and have a long-run relationship. Particularly, foreign direct investment is impacted by changes in the tax rate, while fluctuation in the number of FDI has not any influence on the tax rate.
Nursing Students’ Perception of Patient Safety Culture During the Covid-19 Pandemic – Results of a Pilot Study
Authors: Dominika Kalankova , Daniela Bartonickova , Dominika Holubova , Katarina Ziakova
Published: May 2022

Introduction: The COVID-19 pandemic posed health and social threats and directly affected the quality and safe care. Many nursing students had mandatory practical training in hospitals to help the national system respond to the crisis. The investigation of nursing students’ perceptions of patient safety culture (PSC) might be beneficial in identifying safety areas that need improvement.

Aim: The pilot study aimed to investigate nursing students’ perception of PSC during the second wave of the COVID-19 pandemic.

Methods: The data were collected using the Hospital Survey on Patient Safety Culture - Nursing Students (HSOPS-NS). The HSOPS-NS tool was distributed online via the Google Forms platform between February and April 2021. The respondents studied in the 3rd year of the bachelor’s degree in nursing (n = 66). Three nursing faculties from 3 regions in Slovakia were addressed. Descriptive statistics (mean, SD, frequency) was used for the sample characteristics and the HSOPS-NS tool. The Mann-Whitney U test and the Kruskal Wallis test analysed associations between sociodemographic data. The predictors of outcome dimensions of the HSOPS-NS were analysed by a multiple regression analysis.

Results: The nursing students evaluated the overall patient safety grade as very acceptable. Concerning PSC dimensions, the best-rated dimensions were “Feedback & communication about the error” (55.04%) and “Communication openness” (53.53%). The worst-rated dimensions were “Frequency of events reported” (33.32%) and “Staffing” (35.22%). A significant relationship was found between the perception of PSC and age, current area/unit, awareness of reporting systems, and supervision. The overall patient safety grade, the number of reported events, the number of reported events by nursing students were significantly predicted by several PSC dimensions (p ≤ 0.05).

Conclusions: The nursing students’ perspective on PSC revealed a weak perception of reporting adverse events. The awareness of reporting adverse events requires an increase in theoretical knowledge and the support of nursing students during their clinical training. A regular and comprehensive evaluation of PSC may strengthen patient safety and the overall awareness of patient safety among nursing students.
A Computer Aided Design Software Comparative Study with Applications in Industry 4.0 – Smart Manufacturing
Authors: Ciorap Mariana , Gures Dogan , Dumitraş Cătălin Gabriel
Published: May 2022

The concept Industry 4.0 implies many elements such as CAD/CAM/CAE, simulation, additive fabrication, IoT (internet of things) and it was a result of the demands of the industry in decreasing the period of product designing, flexibility of the design, and quick response to the market demands.. With the help of CAD software, the design period for a new product was reduced by almost 30 percent. Based on this reason, the CAD software family was developed during the last twenty years giving the possibility to create more complex 3D models, parametrization and calculus for product cost or mechanical properties. One of the major drawback in having such a great number of companies that produce CAD software is that each one tries to individualize their own software. We can mention that there are over 150 types of CAD files format. This multitude of types of CAD software makes it necessary to carry out a comparative study to establish criteria for choosing one software or another. In this article we carried out such a study considering three of the most used software based on a case study – the design of a turning cutting tool.
Analysis of the impacts of the COVID-19 pandemic on the drinking milk supply chain in Austria by means of a business process modelling and System Dynamics approach
Authors: Singer Johanna , Kummer Yvonne , Weber Christiane , Strobl Martina , Burtscher Johanna , Domig Konrad J. , Hirsch Patrick
Published: May 2022

Dairy farming is an important branch of agricultural production for the supply of the Austrian population with domestic food. This paper examines the impact of the COVID-19 pandemic on the Austrian drinking milk supply chain. For this purpose, a tripartite approach was chosen consisting of a process description using Business Process Model and Notation (BPMN), a qualitative System Dynamics analysis with a Causal Loop Diagram (CLD), and the use case of the COVID-19 pandemic in the year 2020 in Austria. The results show that the drinking milk supply chain is complex and consists of many individual process steps. However, the number of locations that are passed through during drinking milk production is rather small. The CLD revealed that reinforcing feedback loops occur in the provision of packaging material and the availability of dairy staff. Analysis of the use case showed that the system of dairy production in Austria is stable in the tested scenario, and that the supply chains preserved their function also during the pandemic. Dairies with diverse product ranges were able to react more easily to the massively changed demand situation. The insights gained by this research may be used to increase the resilience of the drinking milk supply chain. Furthermore, the methodological approach can be transferred and used to analyse the supply chains of other foods.