bluuebunny/crossref_metadata_2025 huggingface dataset:
Validation of Human Clinical Genetic Tests
Authors: Peris-Vicente Juan , Ochoa-Arand Enrique , Carda-Broch Samuel , Esteve-Romero Josep
Published: June 2022

In the last ten years, a high amount of genetic assays has been developed for molecular biopathology and genetic laboratories of the hospitals, mainly developed and provided by external companies. In some cases, the specialized staff members of the hospitals (doctors, biopathologists, geneticists or pharmacists) develop their own methods. The validation of these methods is required before their use in clinical testing, in order to assess its reliability. Analytical methods are validated under the requirements of International Guidelines, but validation procedures for clinical genetic tests are under study and need clarifications. In this manuscript, the main information related to the field of genetic validation is revised, including statistics, explaining the difficulty of validation for some of the developed genetic tests. The provided information is in agreement with all the International Guides. The information could be useful by the workers daily performing this kind of analysis.
Exosomes Function in Pro- and Anti-Angiogenesis
Authors: Ribeiro Mara Fernandes , Zhu Hongyan , Millard Ronald W. , Fan Guo-Chang
Published: June 2022

Exosomes, a group of small vesicles (30-100 nm), originate when the inward budding of the endosomal membrane forms multivesicular bodies (MVBs). Exosomes are released into the extracellular space when the MVBs fuse with the plasma membrane. Numerous studies have indicated that exosomes play critical roles in mediating cell-to-cell communication. Also, exosomes are believed to possess a powerful capacity in regulating cell survival/death, inflammation and tumor metastasis, depending on the particular array of molecules contained within a particular population of exosomes. This mini-review will summarize dual roles of exosomes derived from different types of cells (i.e. endothelial cells, tumor cells, platelets, bone-marrow stem cells, cardiomyocytes, myocardial progenitor cells and among others) in endothelial cell proliferation, migration and tube-like formation. In particular, this review will focus on the therapeutic potential of exosomes as a natural nano-particle for delivering pro-/anti-angiogenic factors (proteins, mRNAs and microRNAs) into endothelial cells.
Socio-Organizational Dimensions: The Key to Advancing the Shared Care Record Agenda in Health and Social Care
Authors: Cresswell Kathrin , Anderson Stuart , Mozaffar Hajar , Elizondo Andrey , Geiger Marcia , Williams Robin
Published: June 2022

Integrating health and social care delivery with the help of digital technologies is a grand challenge. We argue that previous attempts have largely failed to achieve their objectives because implementers and decision makers disregard the complex socio-organizational dimensions of change associated with initiatives. These include structural and organizational complexity inhibiting the development of shared care pathways; professional jurisdictions, interests, and expertise; and existing data and governance structures. We provide an overview of those dimensions that can inform strategic decisions going forward, thereby contributing to the chances of success of shared care initiatives.
Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation
Authors: Alfakir Abdalrahman , Arrowsmith Colin , Burns David , Razmjou Helen , Hardisty Michael , Whyne Cari
Published: June 2022

Background

Physiotherapy is a critical element in the successful conservative management of low back pain (LBP). A gold standard for quantitatively measuring physiotherapy participation is crucial to understanding physiotherapy adherence in managing recovery from LBP.

Objective

This study aimed to develop and evaluate a system with wearable inertial sensors to objectively detect the performance of unsupervised exercises for LBP comprising movement in multiple planes and sitting postures.

Methods

A quantitative classification design was used within a machine learning framework to detect exercise performance and posture in a cohort of healthy participants. A set of 8 inertial sensors were placed on the participants, and data were acquired as they performed 7 McKenzie low back exercises and 3 sitting posture positions. Engineered time series features were extracted from the data and used to train 9 models by using a 6-fold cross-validation approach, from which the best 2 models were selected for further study. In addition, a convolutional neural network was trained directly on the time series data. A feature importance analysis was performed to identify sensor locations and channels that contributed the most to the models. Finally, a subset of sensor locations and channels was included in a hyperparameter grid search to identify the optimal sensor configuration and best performing algorithms for exercise and posture classification. The final models were evaluated using the F1 score in a 10-fold cross-validation approach.

Results

In total, 19 healthy adults with no history of LBP each completed at least one full session of exercises and postures. Random forest and XGBoost (extreme gradient boosting) models performed the best out of the initial set of 9 engineered feature models. The optimal hardware configuration was identified as a 3-sensor setup—lower back, left thigh, and right ankle sensors with acceleration, gyroscope, and magnetometer channels. The XGBoost model achieved the highest exercise (F1 score: mean 0.94, SD 0.03) and posture (F1 score: mean 0.90, SD 0.11) classification scores. The convolutional neural network achieved similar results with the same sensor locations, using only the accelerometer and gyroscope channels for exercise classification (F1 score: mean 0.94, SD 0.02) and the accelerometer channel alone for posture classification (F1 score: mean 0.88, SD 0.07).

Conclusions

This study demonstrates the potential of a 3-sensor lower body wearable solution (eg, smart pants) that can identify exercises in multiple planes and proper sitting postures, which is suitable for the treatment of LBP. This technology has the potential to improve the effectiveness of LBP rehabilitation by facilitating quantitative feedback, early problem diagnosis, and possible remote monitoring.
The Association Between Telehealth Utilization and Policy Responses on COVID-19 in Japan: Interrupted Time-Series Analysis
Authors: Ishikawa Tomoki , Sato Jumpei , Hattori Junko , Goda Kazuo , Kitsuregawa Masaru , Mitsutake Naohiro
Published: June 2022

Background

Telehealth using telephones or online communication is being promoted as a policy initiative in several countries. However, there is a lack of research on telehealth utilization in a country such as Japan that offers free access to medical care and regulates telehealth provision—particularly with respect to COVID-19.

Objective

The present study aimed to clarify telehealth utilization, the characteristics of patients and medical institutions using telehealth, and the changes to telehealth in Japan in order to support the formulation of policy strategies for telehealth provision.

Methods

Using a medical administrative claim database of the National Health Insurance and Advanced Elderly Medical Service System in Mie Prefecture, we investigated patients who used telehealth from January 2017 to September 2021. We examined telehealth utilization with respect to both patients and medical institutions, and we determined their characteristics. Using April 2020 as the reference time point for COVID-19, we conducted an interrupted time-series analysis (ITSA) to assess changes in the monthly proportion of telehealth users to beneficiaries.

Results

The number of telehealth users before the reference time point was 13,618, and after the reference time point, it was 28,853. Several diseases and conditions were associated with an increase in telehealth utilization. Telehealth consultations were mostly conducted by telephone and for prescriptions. The ITSA results showed a sharp increase in the proportion of telehealth use to beneficiaries after the reference time point (rate ratio 2.97; 95% CI 2.14-2.31). However, no apparent change in the trend of increasing or decreasing telehealth use was evident after the reference time point (rate ratio 1.00; 95% CI 1.00-1.01).

Conclusions

We observed a sharp increase in telehealth utilization after April 2020, but no change in the trend of telehealth use was evident. We identified changes in the characteristics of patients and providers using telehealth.
Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation (Preprint)
Authors: Pollack Catherine , Gilbert-Diamond Diane , Onega Tracy , Vosoughi Soroush , O'Malley A James , Emond Jennifer A
Published: June 2022

BACKGROUND

COVID-19 severity is amplified among individuals with obesity, which may have influenced mainstream media coverage of the disease by both improving understanding of the condition and increasing weight-related stigma.

OBJECTIVE

We aimed to measure obesity-related conversations on Facebook and Instagram around key dates during the first year of the COVID-19 pandemic.

METHODS

Public Facebook and Instagram posts were extracted for 29-day windows in 2020 around January 28 (the first US COVID-19 case), March 11 (when COVID-19 was declared a global pandemic), May 19 (when obesity and COVID-19 were linked in mainstream media), and October 2 (when former US president Trump contracted COVID-19 and obesity was mentioned most frequently in the mainstream media). Trends in daily posts and corresponding interactions were evaluated using interrupted time series. The 10 most frequent obesity-related topics on each platform were also examined.

RESULTS

On Facebook, there was a temporary increase in 2020 in obesity-related posts and interactions on May 19 (posts +405, 95% CI 166 to 645; interactions +294,930, 95% CI 125,986 to 463,874) and October 2 (posts +639, 95% CI 359 to 883; interactions +182,814, 95% CI 160,524 to 205,105). On Instagram, there were temporary increases in 2020 only in interactions on May 19 (+226,017, 95% CI 107,323 to 344,708) and October 2 (+156,974, 95% CI 89,757 to 224,192). Similar trends were not observed in controls. Five of the most frequent topics overlapped (COVID-19, bariatric surgery, weight loss stories, pediatric obesity, and sleep); additional topics specific to each platform included diet fads, food groups, and clickbait.

CONCLUSIONS

Social media conversations surged in response to obesity-related public health news. Conversations contained both clinical and commercial content of possibly dubious accuracy. Our findings support the idea that major public health announcements may coincide with the spread of health-related content (truthful or otherwise) on social media.
The Sky Is Rigged with Booby Traps: Tracing Eco-Anxiety in Some Select Poems of Assam and Tripura in India’s North-East
Authors: Mukherjee Dr. Arun Kumar
Published: June 2022

Indian literatures in general including those written in English, entail (in a vivid or veiled manner) a rich legacy inherited from the epics, other classical texts and the Puranas which promote overall, an equilibrium in the eco-space, the flora and fauna, while at the same time strongly recommending a protective role of the human and his being in perfect peace with the habitat. The literature of India’s North-east, poetry in particular, further posits an interesting case study of both adulation and apprehension. Here one experiences an abiding respect for the exotic beauty of nature - the mystic hills and magic rivers with the sprawling verdure around- which, with a potency though to lure poetic hearts into the realm of thoughts offering some emancipatory streaks of revelations, cannot however dispel the confounding mess of impressions of the muddled present which is lacerated by political unrest, insurgency and its countermeasures, the culture of dominance and finally a seamless urbanization which is keen to trammel up the traditional ways of life and thought that have enjoyed a sanctity of practice over generations. The poems discussed in the paper articulate a disquieting awareness of some grim possibility lurking under the Edenic greenery around.
Coal Miners Monitoring System
Authors: Choudhari A. R.
Published: June 2022

Abstract: We have designed a system that provides safety while monitoring and alerting the workers about the surrounding conditions in which they are working. The coal mine safety monitoring and alerting system is proposed for the purpose of implementing security and detection of hazards inside a coal mine. These systems monitor the conditions and report the necessary conditions to the control section.
Review of Advanced Image Processing Techniques: Digital Elevation Model
Authors: Prasad Jayashree Rajesh
Published: June 2022

Abstract: This paper gives an in depth insight into the current as well as the previous systems or techniques that have been used in order to perform advanced image processing. These systems or techniques have been implemented or tested in the areas of Germany, The United States of America, India, China, Indonesia and many more. The review aims to explore challenges and opportunities in the field computational and image processing areas of the industry.
Facial Expression Recognition Using Convolutional Network
Authors: Kaur Narinder
Published: June 2022

Abstract: This paper focuses on Emotion Recognition using facial expressions. It aims to detect facial expressions accurately and efficiently. Convolutional Neural Network has developed to help in recognizing emotions through facial expressions and classify them into seven basic categories which are: happy, sad, neutral, surprise, fear, disgust, and angry. So, Convolutional Neural Network is implemented to extract relevant features of the input images and classify them into seven labels. For evaluating the proposed model, Facial Emotion Recognition 2013 dataset is usedso that the model achieves the best accuracy rate. Facial expression recognition has been an activearea of research over the past few decades, and it is still challenging due to the high intra-class variation.
Voice Controlled Robot Vehicle Using Arduino
Authors: Kumar Kantakar Sampath
Published: June 2022

Abstract: This project was created in such a way that voice instructions are used to control the robot. For required duties, an android application with a microcontroller is employed. Bluetooth technology facilitates the connection between the android app and the automobile. The robot is operated by the user's spoken orders or buttons on the application. The two dc servo motors attached to the microcontroller on the receiver side aid the robot's movement. The Bluetooth RF transmitter converts the commands from the application into digital signals at a range of about 100 metres to the robot. The data is deciphered by the receiver and supplied to the microcontroller, which controls the DC motors to perform the required job. The goal of a Voice Controlled Robotic Vehicle is to complete a task by listening to the user's commands. For the user to operate the robot smoothly, a prior preparation session is required. A code is used to give instructions to the controller in the same way. The project "Voice Controlled Robotic Vehicle" has numerous uses both now and in the future. In the future, improvements can be added to the project to make it more effective. The project has a wide range of applications, including military, home security, rescue missions, industry, and medical support. Using the given resources, we were able to create a rudimentary model of a voice-controlled robotic car. Because this project is simple to implement, this robot is advantageous to human life. The Voice Control Robot is beneficial for monitoring and assisting disabled persons. It is simple to use because it operates with basic voice commands. It is effective in locations where humans are unable to reach. As a result, we can employ this robot to spy on people. It has the potential to be utilised for surveillance. For security purposes, we can incorporate a web cam into this robot. The voice recognition software is highly sensitive to background noise and has a high accuracy for identifying a voice command.
A Review: “Experimental Study on Steel Fiber Reinforced Concrete Using flat Crimped & Round Crimped Type Steel Fiber.”
Authors: Shoaib Mohd
Published: June 2022

Abstract: Steel Fibre Reinforced Concretes are characterized by high tensile and flexural strengths and high ductility, as well as by a high compressive strength and a very good workability. Ductility and strength of concrete can be improved at lower fiber contents, where fibers are used in combination rather than reinforcement with a single type of fiber. Durability problems concerning one type of fiber may be offset with the presence of a second type of fiber. Steel Fiber is added by 1% volume of concrete. The different concrete mixesalong with control mix proportions as 100% round crimped type fiber, 50% round crimped type fiber -50% flat crimped type fiber and 100% flat crimped type fiber. Two types of crimped steel fiber i.e. round crimped type steel fiber and flat crimped steel fiber are used of length having 50mm. An extensive experimental investigation consisting of 12 specimen of size 50 x 10 x 10cm for determining flexural strength, 12 specimen for compressive strength and 12 specimen for split end test are used.In the experiment, an combination of steel fibre with concrete is used, which improved various mechanical properties and the strength. This review study is a trial of givingsome highlights for inclusion of steel fibers especially in terms of using them with new mix ratio combinations with concrete.
Enhancement of Various Properties of Soil and Stabilization of Soil Using Copper Slag and GGBS
Authors: Jha Manish Kumar
Published: June 2022

Abstract: The primary objective of this work is to study the interaction of black cotton soils with Copper Slag and GGBS. To improve the Geo-Technical and Engineering Properties of the Black- Cotton soil. To study the behaviour of strength gain in black cotton soil using Copper Slag and GGBS Stabilization
An IoT Based Air and Sound Pollution Monitoring System
Authors: B Mahadeva
Published: June 2022

Abstract: In infrastructure and industrial plants the rapid growth creating environmental issues like pollution (Air, Water, Noise), climate change, malfunctioning and has greatly consequence for the requirement of an, operationally adaptable, efficient, cheap and smart monitoring systems. In this context where combination of many challenges of computer science, wireless communication and electronics, the smart sensor networks are an emerging field of research. In this paper a solution to monitor the air and noise pollution levels in industrial environment or by using wireless embedded computing system a particular area of interest is proposed. The technology like Internet of Things (IOT) is included in the form of solution which is outcome of merged field of computer science and electronics. For monitoring the fluctuation of parameters like noise and air pollution and also humidity and temperature levels from their normal levels in this case the sensing devices are connected to the embedded computing system.
EVALUATION OF TEACHING FACTORY PROGRAM IN SMK YP IPPI CAKUNG
Authors: SARI Sri Utami Purnama , SILVIANA Linda
Published: June 2022

The purpose of this study was to examine the implementation of a teaching factory, and the factors that inhibit its implementation at SMK YP IPPI Cakung. The results of the study noted that the implementation of the teaching factory begins with the establishment of a management structure and collaboration with industry and the related education office. The competency standard used is an application of the school curriculum that is Indonesian National Work Competency Standards (SKKNI) or industry curriculum standard involving students who master vocational competencies and have interests or talents. Thus, the learning media in the form of products have been adjusted to competence. The instructors involved in teaching factory are those who have academic qualifications, experience in industry, and commitment. The products are marketed to consumers and then an evaluation of the implementation of teaching factories are conducted by schools and companies. The inhibiting factors in this program are related to human resources, namely teachers and students. There is still lack of teachers for the department of Computer and Network Engineering but they have fulfilled academic qualifications according to their competencies. In terms of student issues, students' lack of interest and funding are the obstacle. For supporting factors of teaching factory, it includes superior products, which raw materials are easily obtained, and work strategies that can be adapted to conditions. In addition, supporting facilities, good infrastructure, good marketing, and sufficient location are some good things to carry out the production.
EVALUATION OF THE IMPLEMENTATION OF THE TAHFIZ AL-QUR'AN PROGRAM AT ASSHAFA ASSIGNING ISLAMIC ELEMENTARY SCHOOL, DEPOK
Authors: FAUZIAH Nova
Published: June 2022

This research aims to discover, develop and prove knowledge, while the specific objective is to disclose and analyse the implementation of tahfiz program, organizational procedures, manpower, infra structure, learning process, result and impact of implementation of Qur’an Tahfiz program in Asshafa Islamic School. This research is an evaluation by using DEM model (Discrepancy Evaluation Model). Data collection is done through observation, interview guidance and documentation. This research instrument is presented by Headmaster of Asshafa Islamic School, Vice Curriculum, Tahfiz Coordinator, Tahfiz Teacher, and School Committee. Data analysis techniques with data reduction (selecting and sorting data), display data, take conclusions and verification. The result of the research can be summarized as follows : (1) The program's conformity with program standards including curriculum, funding, infrastructure, and parental participation is implemented properly, (2) The tahfiz program at Asshafa Islamic Elementary School has been well planned, starting from the annual program, the semester program, scheduling, memorizing targets, to the methods that will be used in learning, (3) The tahfiz program at Asshafa Islamic Elementary School already has a fairly good evaluation system for students, (4) The results of the implementation of the Al-Qur'an tahfiz program at Asshafa Islamic Elementary School are related to the curriculum that is as expected, the principal through the deputy principal in the curriculum field can carry out planning, organizing, supervising, and controlling Tahfiz teachers and students can follow the program well.
THE EFFECT OF MOTIVATION, SATISFACTION AND WORK DISCIPLINE ON EMPLOYEE PERFORMANCE OF PT. TRIWIRA INSANI LESTARI TBK
Authors: NURJAMAN Nurjaman
Published: June 2022

This study aims to determine the effect of motivation, satisfaction and work discipline simultaneously on the performance of employees of PT. Triwira Insani Lestari Tbk, to know the effect of motivation on employee work performance partially, to know the effect of job aging on employee work performance partially and to determine the effect of work discipline on employee performance of the company. The data collected came from 52 employees of PT. Triwira Insani Lestari Tbk. The amount is all of the employees in the company. The data is then analyzed using regression and statistical testing with the F test and t test. Job satisfaction variables partially affect the performance of employees of PT. Triwira Insani Lestari Tbk amounted to 75.0% while the rest was influenced by other variables which were not analyzed or not included in the model. The t value is 12.237 and the significance value is 0.000. This means that the job satisfaction variable has a significant effect on employee performance. Discipline variable partially affects the performance of employees of PT. Triwira Insani Lestari Tbk amounted to 42.5% while the rest was influenced by other variables which were not analyzed or not included in the model. The t value is 6.084 and the significance value is 0.000. This means that the discipline variable has a significant effect on employee performance.
ANALYSIS STRATEGY OF HUMAN RESOURCES DEVELOPMENT PT KREASI CIPTA UTAMA
Authors: KOMELIANTARI Aprinda
Published: June 2022

This research aims to reveal the strategy of human resources development of PT Kreasi Cipta Utama. The methods used is qualitative descriptive method by obtaining data naturally, it covers data collection through observation, structured interviews and document analysis. The research concluded the strategy of human resources development can be revealed based on two dimensions: education and training. Company is expected to be able to prepare education participant through informal development and formal development so employees can meet the qualification of education participant. Education participant that met qualification will help education program that company runs to be in line with the objective so it can contribute to company performance.
AN EVALUATION OF THE IMPLEMENTATION OF EARLY CHILDHOOD EDUCATION 2013 CURRICULUM
Authors: ANGGRAENI Anggraeni
Published: June 2022

This study aims to evaluate the implementation of the 2013 PAUD curriculum related to planning, organizing, and implementation. The research was conducted at TKIT Nurul Izzah, located in Depok, West Java, using a discrepancy evaluation model consisting of six steps. Data collection was carried out by observation, structured interviews, and documentation. The results showed that 1) in terms of planning, the discrepancy was that there was no explanation regarding the curriculum used and the modifications made to the curriculum in the guidelines for the preparation of the curriculum at the educational unit level; 2). In terms of organizing, the discrepancy was that including the allocation of time / study load used exceeds the specified minimum standard, namely 1350 minutes per week; and 3) in terms of implementation, the discrepancy was that only the school committee know the vision, mission and objectives of education. However, semester, weekly, and daily planning has followed the regulation of the minister of education and culture Number 146 of 2014, documentation has also been included in the curriculum document, the learning methods have varied, the assessment techniques and instruments have followed the rules, and the learning outcomes report has a description and follow the existing rules. Thus, it can be concluded that the implementation of the 2013 early childhood educationcurriculum has gone quite well with the need for improvement in several parts, especially in the planning section.
EVALUATION OF EDUCATION AND LEADERSHIP SUPERVISION HEADMASTER
Authors: FITRIATI Vinus , ISTARYATININGTIAS Istaryatiningtias , SUPRAPTO CH
Published: June 2022

upervision of education is based on the principal, whose consideration must guarantee the purity and dynamics in the education system. To complete certain tasks, both simple and specific, it is required that the principal must start his activities, continue and complete the same thing by complying with the respective principles of the activity. Realizing the views and theories of education supervision in the education system, and getting the same assistance for improving the quality and production of a constant quality of new education depends on the basic principles of supervision. Educational guidelines must follow the principles of supervision and educational guidelines for improving the conditions of education and learning. They must always pay attention to these principles in their plans and activities. The principal must also have a leadership character that can motivate the school community to always do their job well. Thus, due to the importance of compliance and consideration of each principle in significant supervision and educational guidance, in this thesis, an attempt has been made to state the principles of supervision, which can guide supervisors in the design and implementation of education supervision.
EVALUATION OF THE IMPLEMENTATION OF THE EXTRACURICULAR SCOUTING PROGRAM
Authors: RACHMANIE Hani Arie , Khuluqo Ihsana El , ISTARYATININGTIAS Istaryatiningtias
Published: June 2022

The evaluation research on the implementation of extracurricular programs aims to describe the results of research on how the program's achievements from the implementation of the mandatory Scout extracurricular activities. The research in this thesis is motivated by the condition of the lack of efficiency in the mandatory Scout extracurricular activities, and the role of teachers in motivating activities in the implementation of activities that take place every week is felt to be less than optimal and efficient. This study uses qualitative research methods with descriptive research type. The location of this research includes research instruments of parties who have activities in schools, especially students as the main object in the implementation of the mandatory Scout extracurricular activity program as recommended by the Government. Determination of information is done by purposive sampling technique. Meanwhile, the data collection technique was carried out by observation, in-depth interviews with informants, taking documentation as data, and research using triangulation techniques, which included standard utility. Furthermore, the data analysis technique is by means of data reduction, data presentation, methods, discussions with colleagues and drawing conclusions. The results obtained from this study indicate that the process of implementing the program "Evaluation of the Implementation of Scout Extracurricular Programs at MI Al-Khairiyah Pagi Mampang Prapatan, South Jakarta" is less effective and needs improvement and improvement in the implementation of the mandatory Scout extracurricular activity program.
THE EFFECT OF QUALITY OF ACADEMIC SERVICES AND INFRASTRUCTURE ON STUDENT SATISFACTION AT UHAMKA POSTGRADUATE SCHOOL
Authors: USWAH Uswah , MULJONO Hery , MUSRINGUDIN Musringudin
Published: June 2022

This study aims to examine: 1) the direct effect of academic service quality on student satisfaction, 2) the direct influence of infrastructure on student satisfaction, and 3) the direct influence of academic service quality on infrastructure. This study uses quantitative research methods. The target population was 318 students and the sample of research was 178 respondents. Data collection techniques are interviews and questionnaires. The research data analysis technique used path analysis. Research results prove that: first, the quality of academic services has a direct positive effect on student satisfaction. The value of the coefficient of determination is 0.527, which means that 52.7% of student satisfaction can be explained by the quality of academic services. Second, infrastructure has a direct positive effect on student satisfaction. The coefficient of determination is 0.345, which means that 34.5% of student satisfaction can be explained by infrastructure. Third, the quality of academic service has a direct positive effect on Infrastructure. The coefficient of determination is 0.137, which means that 13.7% of infrastructure can be explained by the quality of academic services.
EVALUATION OF ADIWIYATA PROGRAMS
Authors: KOMARIAH Neneng
Published: June 2022

This research was conducted to evaluate the effectiveness of the Adiwiyata program from the analysis of needs, objectives and indicators for program implementation, competence of teachers and students, the availability of infrastructure, implementation of the curriculum, the implementation of Adiwiyata program activities, and the results of the Adiwiyata program implementation related to attitudes and behavior of school members towards environmental awareness. This type of research is evaluative research with a qualitative approach. Data collection was carried out using interview, observation and documentation techniques. The results showed that the analysis of program needs was based on recommendations from the Tangerang City Environmental Office (DLH), as well as to facilitate a clean culture that has long been implemented by schools. The objectives of the program in general have been implemented effectively but the aim of providing skills to students in processing waste has not been going well. The supporting infrastructure for the Adiwiyata program is quite complete, but the fish pond and compost house are in poor condition. The curriculum on the environment has been integrated into the KTSP and the 2013 Curriculum but the implementation in intracurricular and extracurricular activities has not been effective. More than 70% of teachers have not inserted environmental material into the syllabus and lesson plans so that learning has not been effective. Clean Thursday, class pickets, plant care, community service and environmental hygiene competitions are environmental activities held by schools and run quite effectively. School residents are more concerned about the condition of the surrounding environment
METAEVALUATION ACCREDITATION RESULTS OF ELECTRICAL ENGINEERING EDUCATION STUDY PROGRAM FACULTY OF ENGINEERING STATE UNIVERSITY OF JAKARTA 2010
Authors: MONANTUN Readysal , KHULUQO Ihsana El , ISTARYATININGTIAS Istaryatiningtias
Published: June 2022

The Study Program's accreditation process is very important to to maintain the continuity of education services quality and to provide assurance that the accredited Study Program has met the quality standards set by BAN-PT. This study aims to determine the percentage level of achievement in the meta-evaluation process, the higher percentage level achievement of the meta-evaluation results means that this research instrument can be used to measure the primary evaluation with a high level of achievement. This research is a evaluation research using metaevaluation approach, the subject in this study is the primary evaluation in the form of the accreditation results of Electrical Engineering Education Study Program, Faculty of Engineering, State University of Jakarta in 2010. The research instrument is a development of the BAN-PT accreditation assessment instrument which is guided by Book VI Assessment Matrix Instrument of Undergraduate Study Program Accreditation. Data and information collection’s method by observations, documentations, group discussions and interviews. The results showed that the percentage of achievement level given by meta-evaluation calculation in average of 10 respondents was 84.59%. It can be concluded that the meta-evaluation instrument in this research can measure primary evaluations with a high percentage of achievement.
STUDENT’S PERCEPTIONS TOWARDS THE QUALITY OF LIBRARY SERVICE AT THE COLLEGE OF PHARMACY MUHAMMADIYAH TANGERANG DURING THE PANDEMIC COVID-19
Authors: PURWANTO Anim , USWAH Uswah
Published: June 2022

The purpose of this study was to determine students' perceptions towards the quality of library service at the College of Pharmacy Muhammadiyah Tangerang during the pandemic Covid-19. The research is a descriptive study with a quantitative approach. Assessment of the LSQA scale is used in this study to assess the quality of library services which include library infrastructure, library collections, library staff and library services. The research sample was 100 students using random sampling technique. The technique of data collection used was questionnaire distribution. While the technique of data analysis used is descriptive statistics with data processing using SPSS version 25. The steps in data analysis techniques are data presentation (table), measurement of central symptoms (mean, median and mode), calculating standard deviation, discussion and drawing conclusions. The results showed that the quality of library services at the College of Pharmacy Muhammadiyah Tangerang was very good with a score of 42%. Students' perceptions of library infrastructure have a score of 53%, library collections and library employees with each score of 44% and are considered very good by students. Meanwhile, students' perceptions of library services were considered good enough by students with a value of 44%. So that library services at the College of Pharmacy Muhammadiyah Tangerang need to be improved through service accuracy, service speed, IT support in the library and students can access information in the library easily.
EVALUATION OF INTEGRATED ISLAMIC SCHOOL NETWORK IMPLEMENTATION
Authors: SUGIARTI Tuti
Published: June 2022

This research aims to reveal and assess the implementation of the integrated islamic school network curriculum at SDIT Harum, North Jakarta. The approach method used in this study is an evaluative approach, where the researcher intends to collect data on policy implementation. The evaluation model chosen in this study is the Discrepancy Evaluation Model (DEM), by collecting and using observations, structured interviews and documentation.  The design of the integrated islamic school network curriculum is a combination of the content of the integrated islamic school network curriculum, the content of the national curriculum and local content. the integrated islamic school network curriculum places more emphasis on internalizing Islamic values in every content of the National curriculum. Implementation with good and correct worship habits becomes a reinforcement in the development of student character. Implementation of the JSIT curriculum, but all of this must be a perception of thinking and acting by providing self-development and training or web wins for HR at SDIT Harum. Discrepancy evaluation is one type of evaluation approach in evaluating a integrated islamic school network curriculum program. The results of this evaluation are to find out the gaps that occur between the expected conditions and the reality in the field, the next step in making decisions.
Intelligent Computing Research Studies in Life Science
Authors: Dr.S.Thilagamani Guest Editor
Published: June 2022

This special issue is highly related to communication and software application for medical and health care systems towards providing safe, enhanced service to the society. Also it focuses on integration of artificial intelligence to the man kind. In addition, Environmental issues, agricultural advancements, security issues, medical therapies and many more related to artificial intelligences (AI) are been focused in this issues. Artificial intelligence for Cloud computing in health care, for diagnosis in health care, for safety in day to day life, for biorhythm monitoring for the man kind health needs are the need of the hour for the society needs. This special issue focuses on those aspects with much implication for the health care. The articles published in this special issue will certainly bring as positive effect for the developing health care and to make use of available resources and to remove certain obsolete factors and process which may delay or harm the existing health care system. It enhances maximum utilization of scientific knowledge to potentiate therapy and diagnosis in the health care system.
A NEW MULTI-PARTY PRIVATE SET INTERSECTION PROTOCOL BASED on OPRFs
Authors: BAY Aslı , KAYAN Anıl
Published: June 2022

In many crucial real-world applications, parties must jointly perform some secure multi-party computation (MPC) while keeping their inputs hidden from other parties. Private Set Intersection (PSI), the specific area of Multi-Party Computation, let the parties learn the intersection of their private data sets without sharing their secret data with others. For instance, a smartphone user downloads a messaging application, naturally, he wants to discover who are the other contacts that are using the same application. The naive and insecure solution is to send all contacts to the server to discover them. However, the user does not want to share his contacts with the application for privacy issues. To handle this, in recent years, companies and organizations start to use PSI to enhance privacy and security with a little cost of communication and computation. In this paper, we introduce a novel method to compute Private Set Intersection with multi parties where there are at least three or more parties participating in the protocol. By employing the Zero-Secret Sharing scheme and Oblivious Pseudo-Random Functions (OPRFs), parties securely calculate the intersection with computational and communication complexities which are both linear in the number of parties.
N‎onlinear stochastic model for epidemic disease prediction ‎by‎ optimal ‎filtering ‎perspective
Authors: Nabati Parisa , Hajrajabi Arezo
Published: June 2022

Understanding and predicting novel diseases has become very important
owing to the huge global health burden. ‎Organiz‎ing and studying
mathematical models ‎performs‎ an essential role in predicting the
behavior of the ‎disease. ‎In this paper, a new stochastic
Susceptible-Infected-Recovered-Death (SIRD) model for spreading epidemic
disease is investigated. First, the deterministic SIRD model is
considered, and then, by allowing randomness in the recovery and death
rates that are not deterministic, the system of nonlinear stochastic
differential equations is derived. For the suggested model, the
existence and uniqueness of a positive global solution are demonstrated.
The parameter estimation is done with the conditional least square
estimator for deterministic models and the maximum likelihood estimator
for stochastic ones. After that, we investigate a nonadditive
state-space model for spreading epidemic disease by considering infected
as the hidden process variable. The problem of the hidden process
variable from noisy observations is filtered, predicted, and smoothed
using a recursive Bayesian technique. For estimating the hidden number
of infected variables, closed-form solutions are obtained. Finally,
numerical simulations with both simulated and real data are performed to
demonstrate the efficiency and accuracy of the current work.
Comprehensive assessment of sleep in newly diagnosed pediatric brain tumor patients
Authors: Huijsduijnen Eva Hooft van , Partanen Marita , Grootenhuis MA , Hoving Eelco , Nuijts Myrthe , Litsenburg Raphaële Van
Published: June 2022

Background. Children with a brain tumor are at risk of developing
sleep problems. It remains unclear whether these problems arise at an
early or later stage, and insights can facilitate timely interventions.
The aim of this study is to examine sleep problems and contributing
factors shortly after diagnosis. Methods. Children 6-16 years
with a newly diagnosed (≤3 months) primary brain tumor were recruited
for a prospective study. Sleep was measured using actigraphy and
questionnaires (PROMIS Sleep Disturbance and Sleep Related Impairment,
self- and parent-reports). Prevalence of clinical sleep problems were
established using PROMIS cut-off scores. Mean PROMIS scores, prevalence
of sleep problems and actigraphic outcomes were compared to norms
(t-test, chi-square, linear regression). Demographic and medical risk
factors were explored with multivariable linear regression models.
Results. Sixty-nine children (68% male, mean age 11.6±2.8 years,
53±28 days after diagnosis) participated. Parents reported more sleep
disturbances (mean T=53.7, P<.01) compared to norms.
Rates of self- and parent-reported severe sleep disturbances were
elevated (11% versus 5% in norms, P<.04). Parents
also reported higher rates of moderate sleep disturbance (31%) and
sleep related impairment (42%) than norms (25%,
P<.03). Actigraphic outcomes did not differ from norms.
Only shorter time since diagnosis was identified as independent risk
factor (self-reported sleep disturbances, B=-.11, 95%CI -0.19;-0.03).
Conclusions. Sleep problems are more frequently reported by
children and parents shortly after pediatric brain tumor diagnosis,
compared to healthy controls. Attention for sleep around brain tumor
diagnosis is important, as sleep is vital for recovery and
health-related quality of life.
A counterexample on the global $L^3$ Schr\”{o}dinger maximal estimate in $\mathbb{R}^2$
Authors: Li Zhuoran , Wang Ying
Published: June 2022

In this paper, we give an elementary counterexample to show that the
global $L^3$ Schr\“{o}dinger maximal estimate
\begin{align*} \big\Vert
\sup_{0<{\vert t
\vert}\leq 1} \vert
e^{it\Delta}f \vert
\big\Vert_{L^3(\mathbb{R}^2)}
\leq C \Vert f
\Vert_{H^{s}(\mathbb{R}^2)},\;\;\forall
\,f\in
H^{s}(\mathbb{R}^2)
\end{align*} fails if $s<
\frac{1}{3}$. The argument also adapts to the case
of 2D fractional Schr\”{o}dinger operators, and does
not rely on any facts from number theory.
Plasma liver function tests in a cohort of women with gestational diabetes: A cross-sectional study
Authors: Fouhy Fergal , Tuthill Antoinette , Crosbie Orla , Kgosidialwa Oratile , Culliney Linda , O'Mahony Louise , O'Riordan Mairead
Published: June 2022

Objectives: The aim of this study is to examine alanine aminotransferase
(ALT) levels in a cohort of women diagnosed with gestational diabetes
mellitus (GDM) and to investigate the association between elevated ALT
and pregnancy outcomes. Design: A retrospective cross-sectional study.
Setting: Cork University Maternity Hospital Population: Women attending
the gestational diabetes outpatients’ department in CUMH. Methods: This
is a retrospective cross-sectional study. The participants were divided
into 2 groups: those with ALTs within the ALT N range and those with
elevated but with no other documented diagnosis of liver disease that
may be a cause for their elevated ALT level. Primary and secondary
measure outcomes: a) To quantify the number of participants with an
elevated ALT and to compare them to a group of participants with normal
ALT, b) To investigate if there is an association between elevated ALT
and BMI and c) To compare the two groups in terms premature birth,
macrosomia, induction of labour, operative delivery and neonatal ICU
admission. Results: 24.7% of women with GDM had elevated ALT. 23.9% of
the entire group had elevated ALT and no diagnosis of liver disease.
When this group was compared to the group with ALT N, there was a
statistically significant association between elevated ALT and both
elevated BMI and premature delivery. Conclusions: In this cohort there
is an association between GDM and increased ALT. There is also an
association between elevated ALT and increased BMI and premature. These
groups should be treated as high risk pregnancies.
Stochastically-induced dynamics of earthquakes
Authors: Makoveeva Eugenya , Tsvetkov Ivan , Ryashko Lev
Published: June 2022

Motivated by an important geophysical application, we analyze the
nonlinear dynamics of the number of earthquakes per unit time in a given
Earth’s surface area. At first, we consider a dynamical model of
earthquakes describing their rhythmic behaviour with time delays. This
model comprises different earthquake scenarios divided into three types
(A, B, and C) accordingly to various system dynamics. We show that the
deterministic system contains stable equilibria and a limit cycle whose
size drastically depends on the production rate
$\alpha$ of earthquakes and their time-delay effect. As
this takes place, the frequency of earthquakes possesses an oscillatory
behaviour dependent on $\alpha$. To study the role of
$\alpha$ in more detail, we have introduced a white
Gaussian noise in the governing equation. First of all, we have shown
that the dynamical system is stochastically excitable, i.e. it excites
larger-amplitude noise-induced fluctuations in the frequency of
earthquakes. In addition, these large-amplitude stochastic fluctuations
can alternate with small-amplitude fluctuations over time. In other
words, the frequency of earthquakes can change its amplitude in an
irregular manner under the influence of white noise. Another important
effect is how close the current value of $\alpha$ is to
its bifurcation point. The closer this value is, the less noise
generates large-amplitude fluctuations in the earthquake frequency.