bluuebunny/crossref_metadata_2025 huggingface dataset:
Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study
Authors: Kadirvelu Balasundaram , Bellido Bel Teresa , Wu Xiaofei , Burmester Victoria , Ananth Shayma , Cabral C C Branco Bianca , Girela-Serrano Braulio , Gledhill Julia , Di Simplicio Martina , Nicholls Dasha , Faisal A  Aldo
Published: May 2023

Background

Children and young people's mental health is a growing public health concern, which is further exacerbated by the COVID-19 pandemic. Mobile health apps, particularly those using passive smartphone sensor data, present an opportunity to address this issue and support mental well-being.

Objective

This study aimed to develop and evaluate a mobile mental health platform for children and young people, Mindcraft, which integrates passive sensor data monitoring with active self-reported updates through an engaging user interface to monitor their well-being.

Methods

A user-centered design approach was used to develop Mindcraft, incorporating feedback from potential users. User acceptance testing was conducted with a group of 8 young people aged 15-17 years, followed by a pilot test with 39 secondary school students aged 14-18 years, which was conducted for a 2-week period.

Results

Mindcraft showed encouraging user engagement and retention. Users reported that they found the app to be a friendly tool helping them to increase their emotional awareness and gain a better understanding of themselves. Over 90% of users (36/39, 92.5%) answered all active data questions on the days they used the app. Passive data collection facilitated the gathering of a broader range of well-being metrics over time, with minimal user intervention.

Conclusions

The Mindcraft app has shown promising results in monitoring mental health symptoms and promoting user engagement among children and young people during its development and initial testing. The app's user-centered design, the focus on privacy and transparency, and a combination of active and passive data collection strategies have all contributed to its efficacy and receptiveness among the target demographic. By continuing to refine and expand the app, the Mindcraft platform has the potential to contribute meaningfully to the field of mental health care for young people.
Evaluating the Mental Health of Physician-Trainees Using an SMS Text Message–Based Assessment Tool: Longitudinal Pilot Study
Authors: Goldhaber Nicole H , Chea Annie , Hekler Eric B , Zhou Wenjia , Fergerson Byron
Published: May 2023

Background

Physician burnout is a multibillion-dollar issue in the United States. Despite its prevalence, burnout is difficult to accurately measure. Institutions generally rely on periodic surveys that are subject to recall bias. SMS text message–based surveys or assessments have been used in health care and have the advantage of easy accessibility and high response rates.

Objective

In this pilot project, we evaluated the utility of and participant engagement with a simple, longitudinal, and SMS text message–based mental health assessment system for physician-trainees at the study institution. The goal of the SMS text message–based assessment system was to track stress, burnout, empathy, engagement, and work satisfaction levels faced by users in their normal working conditions.

Methods

Three SMS text message-based questions per week for 5 weeks were sent to each participant. All data received were deidentified. Additionally, each participant had a deidentified personal web page to follow their scores as well as the aggregated scores of all participants over time. A 13-question optional survey was sent at the conclusion of the study to evaluate the usability of the platform. Descriptive statistics were performed.

Results

In all, 81 participants were recruited and answered at least six (mean 14; median 14; range 6-16) questions for a total of 1113 responses. Overall, 10 (17%) out of 59 participants responded “Yes” to having experienced a traumatic experience during the study period. Only 3 participants ever answered being “Not at all satisfied” with their job. The highest number of responses indicating that participants were stressed or burnt out came on day 25 in the 34-day study period. There were mixed levels of concern for the privacy of responses. No substantial correlations were noted between responses and having experienced a traumatic experience during the study period. Furthermore, 12 participants responded to the optional feedback survey, and all either agreed or strongly agreed that the SMS text message–based assessment system was easy to use and the number of texts received was reasonable. None of the 12 respondents indicated that using the SMS text message–based assessment system caused stress.

Conclusions

Responses demonstrated that SMS text message–based mental health assessments are potentially useful for recording physician-trainee mental health levels in real time with minimal burden, but further study of SMS text message–based mental health assessments should address limitations such as improving response rates and clarifying participants’ sense of privacy when using the SMS text message–based assessment system. The findings of this pilot study can inform the development of institution-wide tools for assessing physician burnout and protecting physicians from occupational stress.
Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study
Authors: Kleine Anne-Kathrin , Kokje Eesha , Lermer Eva , Gaube Susanne
Published: May 2023

Background

Despite growing efforts to develop user-friendly artificial intelligence (AI) applications for clinical care, their adoption remains limited because of the barriers at individual, organizational, and system levels. There is limited research on the intention to use AI systems in mental health care.

Objective

This study aimed to address this gap by examining the predictors of psychology students’ and early practitioners’ intention to use 2 specific AI-enabled mental health tools based on the Unified Theory of Acceptance and Use of Technology.

Methods

This cross-sectional study included 206 psychology students and psychotherapists in training to examine the predictors of their intention to use 2 AI-enabled mental health care tools. The first tool provides feedback to the psychotherapist on their adherence to motivational interviewing techniques. The second tool uses patient voice samples to derive mood scores that the therapists may use for treatment decisions. Participants were presented with graphic depictions of the tools’ functioning mechanisms before measuring the variables of the extended Unified Theory of Acceptance and Use of Technology. In total, 2 structural equation models (1 for each tool) were specified, which included direct and mediated paths for predicting tool use intentions.

Results

Perceived usefulness and social influence had a positive effect on the intention to use the feedback tool (P<.001) and the treatment recommendation tool (perceived usefulness, P=.01 and social influence, P<.001). However, trust was unrelated to use intentions for both the tools. Moreover, perceived ease of use was unrelated (feedback tool) and even negatively related (treatment recommendation tool) to use intentions when considering all predictors (P=.004). In addition, a positive relationship between cognitive technology readiness (P=.02) and the intention to use the feedback tool and a negative relationship between AI anxiety and the intention to use the feedback tool (P=.001) and the treatment recommendation tool (P<.001) were observed.

Conclusions

The results shed light on the general and tool-dependent drivers of AI technology adoption in mental health care. Future research may explore the technological and user group characteristics that influence the adoption of AI-enabled tools in mental health care.
Digital Rehabilitation Interventions in Sub-Saharan Africa: Protocol for a Scoping Review (Preprint)
Authors: Oduor Michael , Korniloff Katariina , Gasana Juliette , Tumusiime David K , Aartolahti Eeva
Published: May 2023

BACKGROUND

Estimations show that at least one in every 3 people in the world needs rehabilitation at some point in the course of their illness or injury. Access to rehabilitation services is an essential part of the continuum of care and is integral to achieving universal health coverage. However, most of the world’s population living in low- and middle-income countries, especially in the sub-Saharan African region, does not have access to adequate rehabilitation services. Wider adoption of digital solutions offers opportunities to support and enhance access to rehabilitation services in sub-Saharan Africa. A region where there is a greater burden and need for these services. There is also little published research about digital rehabilitation in sub-Saharan Africa, as it is an underexamined topic in the region.

OBJECTIVE

This scoping review aims to provide a comprehensive picture of the current evidence of digital interventions in rehabilitation implemented in any health, social, educational, or community setting in the sub-Saharan Africa region.

METHODS

We will conduct a scoping review using Arksey and O’Malley’s methodological framework and follow the Joanna Briggs Institute methodology for scoping reviews. We will develop search strategies for a selected number of web-based databases, search for peer-reviewed scientific publications until September 2023, and screen the reference lists of relevant articles. We will include research articles if they describe or report the use of digital interventions in the rehabilitation of patients with any health problem or disability in sub-Saharan Africa. For selected articles, we will extract data using a customized data extraction form and use thematic analysis to compare the findings across studies.

RESULTS

The preliminary database search in MEDLINE (EBSCO) was completed in May 2023. The research team will conduct a search of relevant articles in the autumn. The results will be synthesized and reported under the key conceptual categories of this review, and we expect the final scoping review to be ready for submission in early 2024.

CONCLUSIONS

We expect to find gaps in the research and a lack of detailed information about digital rehabilitation interventions in sub-Saharan Africa, as well as potential areas for further study. We will identify opportunities to inform the development of digital rehabilitation interventions.

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/48952
Partisipasi Warga pada Penanganan Krisis Akibat Pandemi Covid-19 dalam Tangga Partisipasi Arnstein di Bogoarum, Magetan
Authors: Chawa Anif Fatma , Putra Moch Hisyam Putra , Saputra Andika Riyan
Published: May 2023

Artikel ini menjelaskan penerapan pendekatan berbasis komunitas (community-based) approach yaitu Kampung Tangguh Semeru sebagai sebuah strategi untuk mengatasi krisis yang terjadi akibat pandemic covid-19. Pendekatan ini mensyaratkan partisipasi aktif dari anggota komunitas dalam mencegah penyebaran virus dan penanganan dampaknya. Pertanyaan yang sering muncul terkait dengan proses partisipasi ini adalah sejauh mana anggota komunitas tersebut dilibatkan dalam penerapannya. Penelitian dilakukan di Desa Boroagum, Magetan, dengan menggunakan metode kualitatif-deskriptif. Hasil studi menunjukkan bahwa penerapan program Kampung Tangguh Semeru sudah mengadopsi tiga prinsip utama dalam pemberdayaan masyarakat yaitu berorientasi pada manusia, partisipasi dan kemandirian, misalnya dalam pelaksanaan program jimpitan, warung gotong-royong dan bank sampah.Lebih lanjut, hasil penelitian juga menunjukkan bahwa partisipasi warga dalam program Kampung Tangguh Semeru termasuk dalam tiga tingkatan tertinggi dari teori tangga partisipasi Arnstein yaitu kemitraan, kuasa yang didelegasikan dan kendali warga. Level kemitraan bisa dijumpai pada program jimpitan dan bank sampah yang proses penetapannya dilakukan secara bersama sama oleh warga dan pemerintah desa. Level delegasi kekuasaan dilakukan pada saat penentuan ide atau inovasi untuk perencanaan program budidaya lele, sayur hidroponik dan patroli protokol kesehatan diserahkan sepenuhnya pada warga desa. Penerapan level partisipasi kuasa atau kendali warga bisa dilihat pada program warung gotong royong dimana warga secara mandiri mampu mengelola sendiri warung tersebut, mulai dari perencanaan, pelaksanaan, dan menikmati hasil dari beroperasinya warung.
Laboratorium Perpustakaan Pertanian: Layanan Makerspace Pusat Perpustakaan dan Penyebaran Teknologi Pertanian
Authors: Irfan Suhendra
Published: May 2023

Perpustakaan-perpustakaan di negara maju sudah banyak yang menyediakan makerspace untuk pemustakanya. Makerspace sudah tidak asing lagi di negara Amerika dan Inggris yang menyediakan ruang yang didisain khusus bagi pemustaka untuk menuangkan ide-ide dan berkreasi serta tempat untuk mengasah dan mengembangkan keterampilan diri. Fasilitas yang disediakan di makerspace perpustakaan negara maju berupa teknologi-teknologi yang sangat canggih seperti printer 3D dan scanning 3D. Namun berbeda dengan negara berkembang, penerapan makerspace belum memadai untuk penggunaan teknologi canggih. Makerspace dimanfaatkan untuk pengembangan softskill masyarakat. Salah satu penggunaan makerspace di Indonesia adalah sebagai tempat pelatihan yang sudah disediakan peralatannya secara gratis. Hal ini dilakukan juga oleh Laboratorium Perpustakaan Pertanian yang menyediakan makerspace untuk pengembangan softskill bidang pertanian.Pemanfaatan makerspace di Laboratorium Perpustakaan Pertanian berupa pelatihan budidaya tanaman sayuran. Animo masyarakat sekitar Laboratorium Perpustakaan Pertanian dalam memanfaatkan layanan makerscape cukup tinggi. Hal ini terlihat dari peserta kegiatan pelatihan dengan rata-rata 20 orang kepesertaan. Kehadiran makerspace di Laboratorium Perpustakaan Pertanian mampu memberikan kontribusi terhadap masyarakat berupa menumbuhkan jiwa kewirausahaan, menciptakan lingkungan yang kreatif dan menciptakan prototyping.
Kompetensi Pustakawan Balitbangtan dalam Pengelolaan Data Penelitian Pertanian
Authors: Rushendi Rushendi , Kuraesin Siti
Published: May 2023

Teknologi informasi semakin pesat saat ini bukanlah merupakan  suatu kendala, namun menjadi tantangan dalam meningkatkan layanan perpustakaan, serta menjadi peluang pustakawan untuk mengembangkan kompetensi. Permasalahan yang dihadapi dalam mengelola data hasil penelitian adalah pustakawan hanya berfokus mengelola karya tulis, dan masih jarang menyusun katalogisasi data, metadata, pelestarian, analisis data, dan pengolahan secara tepat. Tujuan pengkajian untuk mengetahui tingkat kompetensi pustakawan/pengelola perpustakaan Balitbangtan dalam pengelolaan data penelitian pertanian. Kajian menggunakan analisis deskriptif metode survei melalui tehnik sampel 44 pustakawan dengan pengumpulan data menyebarkan kuesioner online (e-questionnaire) dengan menggunakan Google Form dan studi literatur yang berkaitan dengan tujuan pengkajian. Pengkajian dilaksanakan Agustus – Desember 2021. Berdasarkan hasil kajian diketahui bahwa pustakawan/pengelola perpustakaan Balitbangtan mampu mengonsep dan memproses kurasi data penelitian pertanian; mampu mendeskripsikan standar meta data berdasarkan analisis deskripsi; mampu mendeskripsikan kata kunci data riset pertanian; dan mampu memberikan pelayanan data penelitian pertanian; serta sebagian pustakawan memohon dukungan kebijakan teknis sistem layanan data penelitian kepada pemangku kebijakan dalam mempersiapkan data/kumpulan data untuk disimpan dan dimasukkan di sistem repositori Balitbangtan.
Application of Microcontroller in Automobile Engine Speed Measurement System
Authors: Cui Xilong
Published: May 2023

Since the reform and opening up, China has always upheld the development concept of science and technology, and under the development trend of technology globalization, a large number of foreign automobile engine technology has been gradually introduced into the production and development of China’s automobile industry. In this paper, the author mainly discusses the application of microcontroller and microcontroller in the automobile engine speed measurement system, and will also explain the microcontroller from the perspective of embedded system.
Acetylcholine receptors (muscarinic) in GtoPdb v.2023.1
Authors: Birdsall Nigel J. M. , Bradley Sophie , Brown David A. , Buckley Noel J. , Challiss R.A. John , Christopoulos Arthur , Eglen Richard M. , Ehlert Frederick , Felder Christian C. , Hammer Rudolf , Kilbinger Heinz J. , Lambrecht Günter , Langmead Chris , Mitchelson Fred , Mutschler Ernst , Nathanson Neil M. , Schwarz Roy D. , Thal David , Tobin Andrew B. , Valant Celine , Wess Jurgen
Published: May 2023

Muscarinic acetylcholine receptors (mAChRs) (nomenclature as agreed by the NC-IUPHAR Subcommittee on Muscarinic Acetylcholine Receptors [53]) are activated by the endogenous agonist acetylcholine. All five (M1-M5) mAChRs are ubiquitously expressed in the human body and are therefore attractive targets for many disorders. Functionally, M1, M3, and M5 mAChRs preferentially couple to Gq/11 proteins, whilst M2 and M4 mAChRs predominantly couple to Gi/o proteins. Both agonists and antagonists of mAChRs are clinically approved drugs, including pilocarpine for the treatment of elevated intra-ocular pressure and glaucoma, and atropine for the treatment of bradycardia and poisoning by muscarinic agents such as organophosphates. Of note, it has been observed that mAChRs dimerise reversibly [134] and that dimerisation/oligomerisation can be affected by ligands [183, 196].
Cognitive Information Processing Speed
Authors: Pereira Bliss
Published: May 2023

Abstract: Using visual learning and meditation based techniques to develop brain training apps that can significantly improve cognitive performance. This paper seeks to understand what causes slow cognitive processing speed and designs an application to diagnose it in early stages and provide support to people having slow processing speed. Moreover, significant primary data is collected to validate the hypothesis that visual learning techniques presented through mobile applications can improve cognitive performance.
Cyber-Physical Simulation
Authors: Tiwari Vipul
Published: May 2023

Abstract: Integration of the internet into entities of the different domains of human society (such as smart homes, health care, smart grids, manufacturing processes, product supply chains, and environmental monitoring) is emerging as a new paradigm called the internet of things. However .the ubiquitous and wide range iot networks make them prone to cyber attacks. One of the main types of attack is a denial of service, where the attacker floods the network with the large volume of data to prevent nodes from using the services. An intrusion detection mechanism is considered a chief source of protection for information and communication technology. However, conventional intrusion detection methods need to be modified and improved for application to the iot owing to certain limitations, such as resource-constraints devices, the limited memory and battery capacity nodes, and specific protocol stacks.
Text Summarizer Using ML
Authors: Joglekar Prof. Pushkar , Randhave Om , Meshram Kshitij , Patil Harshwardhan , Nagrale Aditya
Published: May 2023

Abstract: In this paper, we introduce TextRank – a graph-based ranking model for text processing, and show how this model can be successfully used in natural language applications. In particular, we propose two innova- tive unsupervised methods for keyword and sentenceextraction, and show that the results obtained com- pare favorably with previously published results on established benchmarks.
Leaf Disease Detection
Authors: Pore Prof. Yogita , Teli Suraj , Ghuge Swaraj , Patil Nikhil
Published: May 2023

Abstract: Early disease identification is crucial for productive crop production in agriculture. illnesses such as bacterial spot, late blight, Septoria leaf spot, and yellow curved leaf the quality of the tomato harvest. Automatic classification techniques of plant diseases also assist in taking action once they are discovered diseased leaf symptoms Presented below is a Convolutional Learning Vector Quantization and Neural Network (CNN) model Method for detecting tomato leaf disease based on the (LVQ) algorithm and categorization. There are 500 tomato photos in the dataset. leaves that display four disease symptoms. We created a model of CNN for feature extraction and categorization automatically. Color Research on plant leaf diseases actively uses information. In our model, three channels based on RGB are subjected to filters.
Fire Alarm Systems
Authors: Ali Kunver Arif , Singh Reena , Sharma Ritu , Shadab Mohd. , Ahmed Sadaf
Published: May 2023

Abstract: The electrical or electronic system that can detect fire-related accidents and can alert or notify peoples, is called a Fire alarm and detection system. The fire alarm system is very important for safety in residential buildings, factories, houses, School/colleges, Hospital etc. Generally, the fire alarm system is installed in a building to detect the fire anywhere in that building. The fire alarm system has two main parts - a detection system and a notification or alarm system. Using the detection system, it senses the fire or fire-related incidents, and using the alarm system it notifies the people. Fire alarm system consists of control panel, smoke detector, MCP and Electronic Sounder. The Brain of fire alarm system is the Fire Alarm Control Panel. It is the central hub for all the detector signal to be wired and provides a status indication to the users.
New Characterizations of Topological Spaces
Authors: Gali Dr. Arun Kumar
Published: May 2023

Abstract: In this paper, we introduce and investigate topological spaces called sgw-compactness Spaces and sgw-connectedness space and we get several characterizations and some of their properties. Also we investigate its relationship with other types of functions.
Mathematical Modeling of the Transmission Dynamics of Covid-19 with Quarantine and Hospitality Treatment
Authors: O.A Adedayo
Published: May 2023

Abstract: This study presents a COVID-19 epidemic disease model that has been tailored to fit the specific circumstances of world. The Nigerian population has been partitioned into seven subpopulations in this model system. These subpopulations include the Susceptible class, Exposed class, Symptomatic Infected class, Asymptomatically Infected class, Quarantined individuals, Hospitalised individuals, and Recovered individuals. The model was augmented with control measures parameters, specifically those related to hospitalisation and quarantine. The disease-free equilibrium and endemic equilibrium points were derived. The determination of the basic reproduction number was achieved through the utilisation of the novel generation matrix. Additionally, an analysis of the local and global stability was conducted, revealing that the system is both locally and globally asymptotically stable at the aforementioned point of R0<1 for the DFE. We did numerical simulations using (Maple 17) software. The results showed the importance of the control measures and social distancing through graph.
Detection of Covid-19 in Chest X-Ray Images using Deep Convolutional Neural Network
Authors: Siddique Amaan Nahid , Karthick Dr. T.
Published: May 2023

Abstract: The pandemic COVID -19 has created an urgent need to do our part in the fight against the great threat to humanity. Studies diagnosing COVID -19 on chest x-rays havea binary or multiclass classification. VGG-16 (Visual Geometry Group), The software, which uses a deep convolutional neural network to detect COVID -19 cases on chest x-ray images, is open source and available to download. This research makes a significant contribution to the healthcare industry and research community by proposing a synthetic data augmentation in chest X-ray images using a deep convolutional neural network (CNN) architecture for the detection of normal pneumonia and covid-19. The model used is VGG-16, and after training and validation, an average validation accuracy and loss of 0.97 and 0.026 were obtained, with specificity and sensitivity of 0.96 and 0.95, respectively, compared with previous models trained for binary classification to detect abnormalities such as pneumonia and covid-19 in radiographs.
Mechanical Properties of Concrete by Partial Replacement of Fine Aggregate with Glass Powder for M40
Authors: Chandramouli Dr. K.
Published: May 2023

Abstract: Since the concrete industry is one of the biggest consumers of natural resources, its sustainability is in jeopardy. Concerns over the economy and ecology are the main challenges facing the concrete sector. To address issues of economic and environmental significance, this study investigates the use of discarded glass as a partial replacement for fine particles in concrete. At weight percentages of 0, 10, 15, 20, and 25%, waste glass powder was used in the M25 mix as a replacement for fine aggregates. After measuring the concrete specimens compressive strength and splitting tensile strength after 28 days, 56 days, and 90 days, the results were compared to those of conventional concrete. The results indicate that the use of discarded glass powder as a substitute for fine aggregate up to 15%
Strengthening of AR Glass Fibre Concrete by Using Dunite Powder
Authors: Divya K.
Published: May 2023

Abstract: In the contemporary era. Concrete, the most significant and frequently used material, frequently needs to have a very high strength and acceptable workability. Research on glass fibre reinforced concrete led to the development of alkali resistant fibres with a high capacity for dispersion, increasing long-term durability. When dunite is utilised as a cement alternative rather of regular cement, concrete is discovered to become up to 40% stronger. Studies based on periodic cement rate data show that, on average, dunite powder is less expensive than cement. Future cement usage will be dominated by the replacement of dunite powder. In the current experimental investigation, alkali resistant glass fibres have been employed to investigate the effect on compressive and split tensile strength on M30 grade of concrete can be determined for 28,56 and 90 days
Recommendation System using Multi-Regression Technique
Authors: Toshniwal Devyani
Published: May 2023

Abstract: Artificial intelligence (AI) and Machine Learning (ML) is one of today's compelling and promising technologies that profoundly affects nearly all areas of business while continuously transforming people's lives. Workforce management is not an exception to the concept, since AI is advantageously indiscriminately thriving in all industries. By recommending programmes to users based on their preferences and needs, app recommendation systems play a crucial role in this regard. The objective of this project was to create an Android app recommendation system based on machine learning for skill matching. Recommender systems are efficient tools for filtering online information, which is widespread owing to the changing habits of computer users, personalization trends, and emerging access to the internet. Time, effort, and tedious everyday duties will be automated, freeing up human attention for more crucial issues related to improving performance and development. It would be possible for systems to function similarly to the human brain in terms of data analysis and the capacity to build an effective systematic engagement to process the data in a fair, efficient, and quick manner if they acquired automation, cognitive insights, and cognitive engagement during the recruitment process.
Vehicles Exhaust Smoke Detection and Location Tracking
Authors: Wadkar Parth
Published: May 2023

Abstract: In recent years, automatic vehicle monitoring has become a crucial situation that canbe made achievable by using the following technology. Environmental awareness was givenprominence at the start of the twenty-first century.One of the primary issues with the Air pollution is the environment. The main pollutants produced byautomobiles are carbon and nitrogen oxides, whichcan now be quickly found using semiconductor gassensors. The system is made up of a GSM board, anIoT module, and a GPS board. The GPS system communicates the co-ordinates to the local RTO when the gas sensor detects the gas created as a result of excessive pollution. The micro-controller board calculates the proportion and, if it is higher than the stated limit as per Bharat Stage 6 rules, it determines the proportion. The received warnings will be saved, and the car will automatically give guidance to a nearby safe zone if the warnings are received more than three times or if the pollution level significantly increases. IoT and GPStechnologies are used to automatically identify the safe zones. If this technology is used, it is possible to meet the safety, pollution reduction, and accident avoidance criteria.
Drowsy Driver Detection using Deep Learning
Authors: Singh Priyanshu , Singh Vishal Kumar , Verma Vishal
Published: May 2023

Abstract: The face is an essential body feature that reveals a lot of information. When a driver is fatigued, their facial expressions change from what they would be in a normal state, such as their eyes blinking more frequently than usual. In this study, we used CNN algorithm to recognize signs of driver drowsiness such as blinking and length of eye closure. CNN algorithm uses video pictures. Due to the drawbacks of existing techniques, we propose a unique face-tracking algorithm to enhance tracking accuracy. Based on human key characteristics, we applied a unique detection algorithm i.e. CNN. Then, using these parts of the face, the drivers' drowsiness is evaluated by watching their eye movements. We have calculated the system's accuracy, which is around 97%.
PERTANGGUNGAN RISIKO PINJAMAN ONLINE SYARIAH PADA LENDER DI PT INVESTREE RADHIKA JAYA DALAM PERSPEKTIF AKAD WAKALAH BI AL-UJRAH
Authors: Syuda Aulannisa , Khalidin Bismi , Erianti Nahara
Published: May 2023

Investree merupakan salah satu platform yang menyediakan layanan pinjaman online, tidak hanya semua masyarakat bisa meminjam, mereka juga dapat memberikan pinjaman dengan keuntungan imbal hasil di platform ini. Pada penelitian ini, penulis tertarik untuk mengkaji bagaimana pertanggungan risiko pada pinjaman online syariah di PT. Investree Radhika Jaya dalam perspektif akad wakalah bi al-ujrah. Kajian ini bertujuan untuk mengetahui bagaimana mekanisme pertanggungan risiko pinjaman online syariah pada lender di PTInvestree Radhika Jaya, dan bagaimana perspektif akad wakalah bi al-ujrah terhadap mekanisme pertanggungan risiko pinjaman online syariah pada lender di PT Investree Radhika Jaya. Jenis metode penelitian  yang dilakukan pada karya ilmiah ini menggunakan metode deskriptif analisis dengan pendekatan normatif. Pertanggungan risiko di Investree, risiko tertanggung pada lender selaku muwakil yang mempercayakan Investree sebagai wakilnya. Namun hal tersebut hanya lender yang akan menanggung segala risiko yang terjadi maka penelitian ini akan fokus dalam memahami apakah pertanggungan risiko yang ditetapkan sudah sesuai dengan pertanggungan risiko pada akad wakalah bi al-ujrah.
Tipologi Pemikiran Fikih Nahdhatul Ulama
Authors: Muthalib Salman Abdul
Published: May 2023

This paper examines the typology of Nahdlatul Ulama fiqh thinking as one of the major religious organizations in Indonesia. A religious organization inherently shares a basic foundation with the society itself, thereby encountering no challenges in carrying out various organizational activities. This paper aims to determine whether this organization falls into the categories of tajdid, salaf, or tamazhub. Based on the analysis of its articles of association, muktamar (major assembly), and fatwas, it can be concluded that Nahdlatul Ulama was initially categorized as adhering to a particular school of jurisprudence (mazhab). However, since the 1990s, Nahdlatul Ulama has not only followed the opinions of a single school of thought but has also studied the methods pursued by scholars of that school.
PEMANFAATAN KULIT RAMBUTAN (Nephelium lappaceum) SEBAGAI ADSORBEN LOGAM TIMBAL (Pb)
Authors: Almuchty Alissa Putri
Published: May 2023

Present of lead as a heavy metal can be harmful to health. One possible method to reduce the presence of lead metal content is obtained through the adsorption process using adsorbent from rambutan rind. This study aimed to determine the effectiveness of activated charcoal from rambutan rind in absorbing lead metal with variations of difference adsorbent mass and stirring time. In this study, chemical activation was carried out by soaking the rambutan rind using 0.1 M NaOH solution for 24 hours. Adsorbents were characterized using Scanning Electron Miscroscopy (SEM) to determine the surface structure and particle size of the adsorbent. Furthermore, the adsorption process was carried out by contacting the adsorbent with lead solution based on the time difference of 10, 20 and 30 minutes and the adsorbent mass of 5, 10 and 15 grams. Based on the test results, the lowest concentration of lead was 1.692 and the highest concentration was 2.983. The most effective absorption of lead was at a level of 15 grams with a stirring time of 30 minutes with an absorption effectiveness of 83.30%.
PROSES PENGOLAHAN AIR LIMBAH TAHU DENGAN MENGGUNAKAN KOMBINASI FITOREMEDIASI DAN KOAGULASI-FLOKULASI
Authors: Ashari T. Muhammad
Published: May 2023

Tahu merupakan salah satu makanan favorit Indonesia karena mudah diperoleh dan rasa yang enak. Sebagian industri tahu Indonesia adalah industri rumah tangga sehingga sisa produksi yang dihasilkan dibuang langsung ke badan air. Limbah ini mengandung polutan yang menyebabkan bau tidak sedap dan nutrient yang dapat menyebabkan eutrofikasi. Oleh karena itu, diperlukan metode pengolahan limbah cair tahu yang tepat untuk menurunkan polutan hingga sesuai dengan baku mutu yang dikeluarkan oleh pemerintah. Pada penelitian ini, metode pengolahan limbah yang digunakan adalah metode fitoremediasi menggunakan tumbuhan enceng gondok dan mengkombinasikannya dengan proses koagulasi – flokulasi menggunakan bio koagulan Moringa Oleifera. Proses fitoremediasi dilakukan pada lingkungan yang terkontrol selama 21 hari, diikuti dengan proses koagulasi flokulasi untuk mengurangi kadar polutan agar sesuai baku mutu. Proses fitoremediasi limbah cair tahu mampu menurunkan COD dari 4000 mg/L menjadi 60 mg/L, BOD dari 1544 mg/L menjadi 20 mg/L, TSS dari 775 mg/L menjadi 150 mg/L, pH dari 4,3 menjadi 8,4. Kombinasi fitoremediasi dan koagulasi-flokulasi mampu menurunkan turbiditas dari 401 NTU menjadi 10 NTU. Rangkaian proses fitoremediasi dan koagulasi–flokulasi pada penelitian ini mampu menurunkan kadar polutan pada limbah cair tahu hingga sesuai dengan baku mutu yang dikeluarkan pemerintah.
APLIKASI TEKNOLOGI PENGINDERAAN JAUH UNTUK PEMANTAUAN REVEGETASI LAHAN REKLAMASI TAMBANG
Authors: Mulkal  , Alisastromijoyo  , Nurul Aflah
Published: May 2023

Following the regulation of the Indonesian Government, every Mining company has an obligation to do reclamation for mining areas that had been exploited. One of the reclamation stages is re-vegetation to plant the exploited mine area with cover crops. Cover crop monitoring commonly is taken by direct assessment of plants growth. However, this approach is ineffective and also expensive which is proportional to the large reclamation area. The objective of this research is to apply remote sensing methods to monitor cover crop growth at Siltstone Quarry of PT Aroma Cipta Anugrahtama, in Lhoknga subdistrict, Aceh Besar. The monitoring was conducted using Sentinel-2 satellite imagery data by computing the Normalized Difference Vegetation Index (NDVI). The analysis was done in a time series from the year 2019 to 2022 using the Google Earth Engine (GEE) cloud platform. The result shows that the NDVI value is varied from 0 to 0,8 which is classified into no vegetation to high vegetation area. Based on spatial distribution of NDVI values, can be observed that the northern area has higher uniform NDVI value compared to the southern area which is more mixed. This indicates the southern part has been exploited earlier. Overall the re-vegetation successful rate for reclamation zone before 2019, 2019, 2020, 2021 and 2022 are 96%, 99,5%, 70,6%, 36,6% and 6,2%.
Implementasi Model Pembelajaran Cooperative Learning Tipe Jigsaw untuk Meningkatkan Hasil Belajar Kimia Materi Hidrolisis Garam pada Siswa Kelas XI IPA 2 MAN 1 Pidie
Authors: Nursiah Nursiah
Published: May 2023

Cooperative learning Type Jigsaw is a learning method that encourages students to study in groups through discussions so that they can collectively and responsibly help each other understand the material. This research is a type of classroom action research (PTK), which is designed by implementing the Jigsaw Cooperative learning learning model in salt hydrolysis material for students in grades XI, IPA, 2, and MAN, 1, respectively. The results of this study indicate that the Jigsaw Cooperative learning model can improve student learning outcomes in the chemistry subject matter of salt hydrolysis. Implementation of this learning model can encourage students to work together in teams to analyze problems, discuss them, and answer questions related to the material presented. The results of observations after treatment showed that all students succeeded in learning mastery (100%) and student learning activities reached active and very active categories. The use of media images when implementing Jigsaw-type cooperative learning is one factor that influences learning mastery.

Abstrak

Cooperative learning tipe jigsaw merupakan metode pembelajaran yang mendorong siswa untuk belajar secara berkelompok dalam bentuk diskusi agar mereka dapat saling membantu untuk memahami materi secara kolektif dan penuh tanggung jawab. Penelitian ini merupakan jenis penelitian tindakan kelas (PTK) yang didesain dengan mengimplementasikan model pembelajaran Cooperative learning tipe jigsaw dalam materi Hidrolisis garam pada siswa XI IPA 2 MAN 1 Pidie. Hasil penelitian ini menunjukkan bahwa model pembelajaran Cooperative learning tipe jigsaw dapat meningkatkan hasil belajar siswa dalam pelajaran Kimia materi hidrolisis garam. Implementasi model pembelajaran ini dalam mendorong siswa untuk bekerja sama dengan tim kelompok untuk menganalisis masalah, berdiskusi, dan menjawab persoalan terkait materi yang disampaikan. Hasil pengamatan setelah perlakuan menunjukkan seluruh siswa berhasil mengalami ketuntasan belajar (100%) dam aktivitas belajar siswa mencapai kategori aktif dan sangat aktif. Salah satu hal yang mempengaruhi ketuntasan belajar tersebut adalah penggunaan media gambar pada saat pelaksanaan pembelajaran cooperative learning tipe jigsaw.
Formulation, Evaluation, And Optimization of Coscinium Fenestratum-Based Niosomal In-Situ Gel for Anti-Cataract
Authors: Menon Gowtham , C Sutar Ravindra , CP Sachin , R S Shendge , A Kashid Girish
Published: May 2023

Coscinium fenestratum is a sturdy, creeping, woody plant that grows with a cylindrical, yellowish stem that belongs to the family Menispermaceae and is commonly known as tree turmeric. The research aims to develop a niosomal in-situ gel by incorporating a novel drug carrier, such as a niosome containing herbal extract for treating cataracts. The niosomal carrier was prepared by varying concentrations of two surfactants, while the herbal drug and cholesterol concentration was kept constant. The optimization of the niosome was done based on the size and shape of the vesicle obtained from SEM analysis. The optimized niosomal dispersion was then converted to a niosomal in-situ gel, and evaluations were carried out, like pH, viscosity, gelling capacity, gel strength, and isotonicity. From the preliminary phytochemical screenings of Coscinium fenestratum, the ethanolic extract showed the intense presence of flavonoids, alkaloids, steroids, and saponins. The drug-loaded niosomes were stable in HPMC, HPMC K15M, and Carbopol 940 ocular in-situ Gel, and the optimum HLB value of the surfactant span 60 made this formulation more stable. The Brookfield viscometer determined the viscosity, which is an important factor in determining the residence time of the drug in the eye. It possessed good viscosity of about 982.66 ± 1.52 cps. From a gelling capacity study conducted, it was found that the niosomal in-situ Gel possesses immediate gelation and remains for an extended period. The gel strength of niosomal in-situ Gel was 1.30 ± 0.006 sec, and when subjected to isotonicity testing, the results were acceptable. Stability studies were conducted at two different temperatures where no color changes occurred, and there was not much difference in parameters like pH, viscosity, gelling capacity, and gel strength. So it was concluded that the niosomal in-situ Gel of Coscinium fenestratum can be an alternative method to reduce the drawbacks of conventional ophthalmic dosage forms.
Essays on Empirical Asset Pricing
Authors:   , Jensen Theis Ingerslev
Published: May 2023

This thesis investigates the relationship between risk and return in the cross-section of stocks. The thesis consists of three papers that can be read independently. These papers are the result of my Ph.D. studies at the Department of Finance, the Center of Financial Frictions (FRIC), and the Center of Big Data in Finance (BIGFI) at CBS. The ﬁrst paper, Subjective Risk and Return, investigate the subjective risk-return tradeoﬀ. To do so, I introduce a novel data set of subjective risk and return expectations at the individual stock level. I ﬁnd that the required compensation for risk is high, but nevertheless, the realized compensation for risk is low. I show that this diﬀerence arises because cash ﬂow expectations are systematically too high for risky stocks, which can be explained by investors suﬀering from optimism bias. As a result of the low realized compensation for risk, I show that risk cannot explain the realized return of most equity factors, and that the best asset pricing models for explaining realized returns are the worst ones for explaining subjective risk compensation. The second paper, Is There a Replication Crisis in Finance (co-authored with Bryan Kelly and Lasse Heje Pedersen), tests whether equity factor research in ﬁnance is robust to scientiﬁc replication. In particular, we build a global data set of stock returns and characteristics to replicate 153 equity factors in 93 diﬀerent countries. Further, we develop and estimate a Bayesian model of factor replication, which can handle the multiple testing of many hypotheses, and the issue of publication bias. Our main result is that most equity factors can be replicated. Further, we show that most factors work well out-of-sample, that is, in time periods and countries diﬀerent from the ones studied in the original paper. We also show that the 153 factors can be grouped into 13 themes, most of which matter for the tangency portfolio. The third paper, Machine Learning and the Implementable Eﬃcient Frontier (co-authored with Bryan Kelly, Semyon Malamud, and Lasse Heje Pedersen), develops a framework that integrates trading-cost-aware portfolio optimization with machine learn-ing (ML). We show theoretically how to solve the optimal portfolio problem for an investor that faces trading costs when returns are predictable by a general function of security characteristics. In addition, we show to implement this solution via a machine learning methodology that learns directly about portfolio weight (rather than returns). Empirically, we ﬁnd that our method leads to signiﬁcant out-of-sample gains relative to various sophisticated benchmarks. Finally, our method gives a novel view of which security char-acteristics are economically important.
Perceived Value of Public Health and Health Policy Information Among Medical Students: A Cross-sectional Study
Authors: Leonard Sophia M. , Dixon Katelyn Sanner , Ayres Jack M. , Cordner Keith , Greiner K. Allen , Parente Daniel J.
Published: May 2023

Introduction: Health educators have had difficulty introducing health policy and public health training into an already intensive medical school curriculum. Although the COVID-19 pandemic may have changed perspectives on the importance of public health, it may not change educational approaches. Assessment of medical student opinions and perceptions of health policy and public health might influence the weight given to these topics in medical education.
Methods: We used a 39-item instrument to cross-sectionally survey medical students, to assess their perceptions of the value of public health and health policy within their professional education.
Results: One hundred two students completed the survey (13% response rate). Most students reported an interest in public health (94.1%) and health policy (92.2%). Although interested, most students lacked confidence in their knowledge of public health and health policy on both state (health policy 34.3% confident; public health 43.1%) and national (health policy 41.0%; public health 44.1%) levels. Most students perceived that their institution has not sufficiently prepared them to understand health policy (34% felt prepared) and most reported insufficient information to participate in policy discussions (30.3% sufficiently informed).
Conclusions: Medical students reported an interest in public health and health policy while also reporting a lack of confidence in their level of preparedness to understand and participate in these fields, thus demonstrating a need for increased public health and health policy education within medical school curricula.
Políticas públicas y educación de la primera infancia en Nicaragua
Authors: Bonilla-Jarquín Alex Martín
Published: May 2023

La investigación detalla la alineación de la evidencia sobre la educación de la primera infancia con la política educativa nicaragüense y su implementación. Este artículo forma parte de un estudio regional en cinco países de Centroamérica y la República Dominicana, conducido con un diseño común de tipo cualitativo, documental y exploratorio. La metodología fue analizar documentos oficiales y recolectar información a través de entrevistas a actores clave. La revisión de la literatura identificó buenas prácticas de las políticas de educación en la primera infancia, desde ocho ámbitos. La alineación en algunos ámbitos se presenta muy consistente, en otros se denotan vacíos. La falta de acceso a información pública limitó profundizar en el análisis de los alcances e impacto logrados en la ejecución.
BIMBINGAN KELOMPOK DENGAN TEKNIK SELFT MANAGEMENT BAGI SISWA YANG MEMILIKI PERILAKU DISIPLIN RENDAH DALAM PENGUMPULAN TUGAS DARING
Authors: Rosalina Nina , Mustika Ika , Rosita Tita
Published: May 2023

This study examines the implementation and objectives of group guidance services to determine the effectiveness of self-management techniques on student discipline behavior in collecting assignments given by subject teachers during online learning activities. The method used in this research is descriptive qualitative method, and 8 subjects were selected through purposive sampling technique. The results show that during distance learning, group guidance services with self-management techniques can effectively improve student discipline behavior in collecting online assignments from subject teachers. Based on the results of interviews and documents before and after the study, it was found that students experienced significant behavioral changes in the discipline of collecting online assignments from subject teachers during distance learning activities.Keywords: group guidance, self management, discipline