bluuebunny/crossref_metadata_2025 huggingface dataset:
Sanitized Vehicle Parking System
Authors: Chopra Anjali , Churamani Pranay , Sharma Rohini
Published: May 2023

Automated parking systems have been revolutionized exponentially in
recent times but configuring an automated parking system capable of incorporating the
ability to perform total sanitization is the result of a novel approach, as presented in this
chapter. This parking system sanitizes the vehicle as soon as it approaches the parking
lot with the help of Infrared sensors coupled with a servo motor. The fundamental
objective behind this approach is to suppress the spread of contagious infections like
COVID-19, which is more prominent in the present age and has been hugely impacting
the world. The proposed design includes Arduino UNO, Infrared sensors, servo motor,
Water level sensors, LCD screen, and LEDs as its components. Arduino IDE plays a
significant role in controlling the whole setup associated with Proteus-8 Software. This
model is divided into three segments, the sanitization chamber, parking entry and
parking exit, which also count and display the number of vehicles entering and exiting
the parking lot on the LCD screen. In the sanitization chamber, the working of infrared
sensors and servo motors are interlinked and configured by the code logic. When the
vehicle arrives, the IR sensor senses it and allows the servo motor to eject the liquid
from the dispenser vessel to sanitize the vehicle completely. An LCD screen is also
employed to display the various percentage stages left in the sanitizing dispenser
vessel. In parking entry and exit, the Infrared sensors operate the entry and exit points.
LCD screens, along with LEDs of different colours, are also incorporated to indicate
the functioning of the whole process.
Performance Analysis of DTC-IM Drive Using Various Control Algorithms
Authors: Jeyashanthi J. , Barsana Banu J.
Published: May 2023

Direct Torque Control (DTC) is the dominant strategy used in three-phase induction motor control, thanks to its excellent and vibrant characteristics, consistent operation, fewer mathematical calculations, and rigidity in adjustable velocity drives. However, torque ripple is the main drawback of DTC, and it is challenging to reduce it. While DTC based conventional PID controller is utilized, it gets pretentious by lengthy settling time, maximum peak overshoot, and torque and speed curve oscillations. The current research aims to diminish the torque ripple and augment the DTC-enabled induction motor drive performance. Various control methods, such as Fuzzy Logic Control (FLC), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS), were used in the chapter to enhance the DTC-enabled induction motor drive performance. These control methods were carefully verified and simulated under MATLAB/Simulink 2017. The effectiveness of the projected work was confirmed through simulation, which achieved promising results, thus establishing the supremacy of the proposed model.
Mesoscopic Station Controlled Advanced Reconnaissance Rover
Authors: Dev Vashisht Kushagra , Pant Gaurav , Gupta Samarth , Shahid Md. , Kumar Paul Parthish
Published: May 2023

S.C.A.R.R or ‘Station Controlled Advance Reconnaissance Rover’ presents
a modern approach for surveillance at desired areas, remote border locations, buffer
zones, or strategic military deployment areas using a multifunctional robot based on the
Arduino development board. The purpose of designing and constructing a surveillance
robot is simple; it is to adapt to the advancements in technology in the field of modern
warfare as well as to have a pragmatic and reliable solution to ever-increasing
surveillance demands due to hostile activities. This robotic vehicle can potentially
substitute human deployment in concerned areas to provide surveillance and perform
desired tasks. The robotic vehicle works as a manually controlled vehicle through Dual
Tone Multi-Frequency (DTMF) technology and is equipped with a Radio AV Night
Vision camera which can work both day and night to provide real-time video feed. This
robot can be used to detect the presence of the enemy in both friendly territory and
buffer zones and capture through the camera to give live streaming to authorized
personnel. Surveillance is major and active field role while working in the border area
and for the same, there is a need for a robot for surveillance purposes. A smart
surveillance robot for military and counter-threat applications is presented in this paper.
A well-rounded approach to testing, of all the physical and technical factors, was
considered and taken into action in the form of improving the rover.
Farming 4.0 – Review of the Digitalized Agricultural Phenomenon using Disruptive Technologies, its Implementation, and Major Challenges
Authors: Mohammed Abu Basim N. , Ajit Nair
Published: May 2023

 Farming has been a traditional, manual and labor-intensive industry, and it
will continue to be so in the future. Agriculture is one of humanity's oldest businesses
and practices. Extrinsic elements, comprising climatic parameters and general
environmental variables, have strongly dictated crop yield and productivity. Disruptive
technologies such as the Internet of Things (IoT), Big Data Insights, Artificial
Intelligence (AI), Machine Learning (ML), etc., have significantly affected most every
enumerated industry area. Farming based on the implementation of the above
advancements leads to “Smart Farming”, also known as the “Green Revolution 4.0” in
agriculture, which combines agricultural methodologies with technologies to
accomplish desired processing efficiencies at manageable costs. The entire
development is software-based and sensor-monitored from farm to hand-held devices,
lowering overall costs, and increasing aggregate yield and ubiquity level, thereby
enhancing user engagement. Predictive analytics for crops may certainly contribute to
data-driven decision-making with the help of “failure prediction systems.” Climate
conditions can be tracked and forecasted to help with forecasting, from seeding to
development and delivery of the final crop to the consumer. An increase in global
concerns about food safety, as a result of large-scale flood disasters, puts more pressure
on smart farming methodologies. The study discusses more of the latest avenues of
research and future trends in smart farming with case studies about Indian states. The
work also examines major disruptive technologies that govern agricultural phenomena
in the twenty-first century. 
Image Processing on Resource-Constrained Devices
Authors: Tolia Dhanesh , Jagadeeshwar Sayaboina , Kumar Jayendra , Arvind Pratul , Yadav Arvind R.
Published: May 2023

The chapter portrays a new development in the field of embedded systems. It showcases the combination of Machine Learning algorithms and low-memory microcontrollers (ESP32-CAM). The uniqueness of this idea lies in the fact that Machine Learning is generally perceived as a processor-intensive task that requires high memory and storage. However, as seen in this chapter, one may soon realize how wrong this notion is with emerging technologies that are taking over the globe. This project portrays the successful implementation of a binary colour classification model on the ESP32-CAM with 68% accuracy post-training result with a mere 15 images of each colour. Machine learning has increased over the years. Some applications include image classification, object detection, and question-answering. This work merely puts out awareness in this domain and is hopeful that dedicated efforts towards it can solve many industrial problems. 
Dimensions and Hadoop of Big Data. A Review
Authors: Kumar Agrawal Ayush , Verma Harsh , Kumar Jayendra , Anumeha Bentham Science Publisher , Arvind Pratul
Published: May 2023

Big Data is a massive collection of data that continues to grow dramatically
over time. It is a data set that is so huge and complicated that no standard data
management technologies can effectively store or process it. Big data is similar to
regular data, but it is much larger. “There's no doubt that the volumes of data presently
available are vast, but that's not the essential element of this new data ecosystem,” says
one expert. The term “big data” is now commonly used to refer to the application of
predictive analytics. New correlations can be discovered by analyzing data sets to
“identify economic trends, prevent diseases, combat crime, and so on.” In sectors such
as Internet searches, financial technology, healthcare analytics, geographic information
systems, urban informatics, and business informatics, scientists, corporate executives,
medical practitioners, advertising, and governments all face challenges with enormous
data sets.
Molecular Characterization of Biologically Active Peptides
Authors: Anaya-Esparza Luis M. , Lourdes García-Magaña María de , Montalvo-González Efigenia
Published: May 2023

Biologically active peptides (BAPs) have gained significant research
attention in the last few years due to their potential human health benefits and diverse
applications. Moreover, the use of food by-products or food wastes as a protein source
is highlighted as a viable technological alternative to produce BAPs, reducing food
losses. However, the functionality of BAPs depends on the protein source, synthesis
method, degree of hydrolysis, molecular weight, purity, and amino acid sequence and
composition. Therefore, multiple efforts in the purification and molecular
characterization of these compounds have been reported in recent years to know their
molecular structure complexity and related bioactivity. BAPs can be obtained from
different protein sources and synthesized by chemical, biological, and physical routes,
alone or combined, which significantly influence their degree of hydrolysis and
molecular weights. Additionally, advanced analytical techniques have been used to
separate and identify BAPs. In this context, ultrafiltration membrane systems and
electrodialysis systems are the most common methods used to separate BAPs with
desirable molecular weights.
Likewise, multiple chromatographic techniques (HPLC, HPLC-MS/MS, UPLC/MS,
RT-HPLC, and ion exchange and exclusion) have been widely used for quantitative,
qualitative, and sequencing analysis of BAPs. Furthermore, emerging computational
and statistical tools (in silico analysis) have been used to predict, sequence, and
characterize BAPs using chemometric and chemoinformatic data. These tools
facilitated the discovery and analysis of new peptides with desirable applications and
functionality. Therefore, this chapter aims to discuss the current information about the
molecular characterization of BAPs.
Biologically Active Peptides from Chickpea (Cicer arietinum L.) Grain
Authors: Marín-Contreras José Gustavo , Cuellar-Torres Esther Angélica , Bañuelos-González Miriam del Carmen , Aguilera-Aguirre Selene , Chacón-López Martina Alejandra
Published: May 2023

At present, it is relevant to investigate new sources of nutrients with
beneficial activity for humans, so the scientific community has proposed to investigate
different legumes such as beans, soybeans, and chickpeas. Chickpea is a grain with
high nutrient (lipids, minerals, protein, and carbohydrates) content and is commonly
used in Mediterranean cuisine. However, chickpea is a grain with high protein content,
which has attracted the attention of researchers, as it is a new source for the obtainment
of peptides with biological activity; in that sense, peptides with antioxidant,
antihypertensive, hypocholesterolemic, anticancer, and antidiabetic activity have
already been reported. This chapter summarizes the most recent information about the
biological activity of peptides from chickpea (Cicer arietinum L.) grain. 
Material Synthesis, Structures and Characterization
Authors: Camacho Cruz Luis Alberto , Velazco Medel Marlene Alejandra , Ortega Valdovinos Luis Ramón , Cruz Gómez Angélica , Bucio Emilio
Published: May 2023

Polymers have been employed for the development of medical devices and implants as some of them are biocompatible. Synthetic procedures and extraction techniques have allowed the obtention of different polymers, classified in this chapter as synthetic and natural polymers. In the process of synthesis of the polymer, its properties can be modulated to obtain more flexible or thermostable materials, non toxic or transparent, depending on the desired properties of the final product. A wide range of polymers have been used for the manufacturing of catheters, valves, tubes, and other medical devices; therefore, in this chapter, there is a brief description of some of them, their chemical structure and properties, and finally, their application in medicine is shown.
Nanoengineering for Biomedical Devices
Authors: Romero-Fierro David , Bustamante-Torres Moises , Anchalí Sophía , Bucio Emilio
Published: May 2023

Nanomedicine aims to control, repair, or comprehensively improve all
human biological systems, working from a molecular level with engineering devices
and nanostructures to achieve medical benefits. This science has had a greater
development in recent years, thanks to the great technological advances achieved in
developed countries, which is due to the large investment that is made due to the
promising incursion of nanotechnology in the diagnosis and treatment of various
diseases. This chapter covers this topic from a technical point of view that involves the
synthesis of materials and the development of techniques with their respective
biomedical application. In addition, the ethical issues related to its application and the
actions that have been taken to regulate it are detailed.
Self-healing and Regenerative Materials
Authors: Duarte-Peña Lorena , Bucio Emilio
Published: May 2023

Self-healing systems have a high capacity for regeneration, managing to
regain their functionality after suffering structural damage. This characteristic provides
the materials with high durability and security in their use. Living organisms are the
ideal self-healing systems, which is why they have served as inspiration for the
development of these materials. Self-healing synthetic systems also show biomimetic
characteristics and are widely studied as biomaterials. Different ceramic, metallic and
polymeric materials can show self-healing capacity, although the polymeric self healing systems have versatility, adaptability, and ease of synthesis. This chapter
describes the general aspects, properties, and classification of polymeric self-healing
materials, focusing on extrinsic and intrinsic self-healing materials. The self-healing
behavior of extrinsic materials depends on microcapsules and vascular structures that
act as healing agents’ delivery systems. The self-healing behavior of intrinsic materials
is governed by the presence of a dynamic crosslinking based on dynamic covalent
bonds or non-covalent intermolecular interactions. In addition, examples of current
developments in this field are shown. 
PENYUSUNAN MODUL PENGAYAAN TANAMAN OBAT DI HUTAN WADUK SEMPOR UNTUK SMA/MA KELAS X MATERI PLANTAE
Authors: Fauziyah Vyna Himayatul , Wibowo Yuni
Published: May 2023

Penelitian bertujuan untuk: (1) Mengetahui jenis-jenis tanaman obat  yang terdapat di Hutan Waduk Sempor Kebumen, (2) Mengetahui kevalidan dan keparaktisan modul pengayaan tanaman obat berbasis potensi lokal di Hutan Waduk Sempor Kebumen untuk siswa SMA/MA kelas X pada materi Plantae. Tanaman obat di Hutan Waduk Sempor diperoleh melalui metode eksplorasi. Jenis penelitian yang digunakan adalah Research and Development dengan model ADDIE yang dibatasi sampai tahap Development. Hasil penelitian yang diperoleh yaitu, ditemukan 27 jenis tanaman obat khususnya Divisi Spermatophyta di Bukit Kedoya dan Taman Pokdarwis. Hasil review produk oleh ahli materi, ahli media, serta uji keterbacaan oleh guru biologi, dan respon peserta didik yang ditinjau dari aspek kelayakan isi, penyajian, kegrafisan, bahasa dan penggunaan menunjukkan bahwa modul pengayaan tanaman obat dapat untuk dilanjutkan pada tahap implementation dan evaluation.
Pentingnya Pengaruh Permainan Tradisional Engklek terhadap Motivasi dan Hasil Belajar Siswa SMP pada Materi Pencemaran Lingkungan
Authors: Zein Livia Radinka , Rahayu Rina
Published: May 2023

Metode pembelajaran dengan menggunakan permainan dapat dijadikan alternatif untuk dapat meningkatkan pemahaman dan motivasi siswa dalam proses pembelajaran. Permainan engklek adalah permainan tradisional yang menggunakan benda serta kesepakatan peraturan yang dibuat oleh guru dan harus dipatuhi oleh pemain atau siswanya. Permainan engklek dapat meningkatkan motivasi dan hasil belajar siswa. Tujuan dari penelitian ini untuk menjelaskan pengaruh permainan tradisional terdahap motivasi dan hasil belajar siswa kelas 7 SMP. Berdasarkan penelitian ini dapat simpulkan bahwa penerapan pembelajaran menggunakan permainan tradisional lebih efektif dalam meningkatkan motivasi dan hasil belajar siswa dibandingkan pembelajaran tanpa permainan tradisional. Hal ini ditunjukkan dari nilai rata-rata pretest dan postest siswa pada kelas 7 SMP dalam memahami materi pencemaran lingkungan mencapai 87.00 lebih tinggi dibandingkan kelas kontrol yang mencapai 57.00. Hal tersebut dapat terjadi karena metode bermain dalam proses pembelajaran dapat membuat suasana belajar yang menyenangkan sehingga tidak menimbulkan kejenuhan maka dari itu siswa dapat memusatkan perhatian secara penuh terhadap materi pencemaran lingkungan.
Analisis Hubungan Kuesioner Cinta Tanah Air dengan Soal Karakteristik Zat pada Mata Pelajaran IPA Terpadu di SMP N 17 Kota Jambi
Authors: Astuti Tety , Ferawati Ana , Berthalita Pujaningsih Febri
Published: May 2023

Penelitian ini bertujuan untuk mengetahui sikap cinta tanah air terhadap pembelajaran IPA dengan materi karakteristik Zat yang dimiliki oleh masing-masing peserta didik Dengan memilih kelas VII A dan VII C SMPN 17 Kota Jambi sebagai sampel dan kesimpulan bahwa Sikap rasa cinta tanah air tidak mempengaruhi kegiatan belajar peserta didik dimana sikap tersebut tidak dapat mendorong diri peserta didik untuk semangat dan aktif dalam kegiatan belajar, yang menyebabkan kelangsungan dari kegiatan belajar tidak berjalan dengan baik. Penelitian yang digunakan adalah penelitian deskriptif dengan data yang digunakan yaitu kuantitatif. Penelitian deskriptif adalah suatu bentuk penelitian yang ditunjukkan untuk mendeskripsikan fenomena-fenomena yang ada, baik fenomena alamiah maupun fenomena buatan manusia. Pendidikan dan pengajaran adalah suatu proses yang sadar tujuan. Pelaksanaan pendidikan karakter cinta tanah air lebih menekankan kepada kecintaan terhadap budaya Indonesia mengajarkan untuk menjaga kelestarian Indonesia dengan menanam pohon dan membuang sampah pada tempatnya. Sedangkan disekolah dapat mengajarkan peserta didik untuk tertib dan disiplin serta bertanggung jawab. Para peserta didik SMPN 17 Kota Jambi memiliki sikap disiplin dan bertanggung jawab dalam mengerjakan dan menyelesaikan tugas.
Analisis Kesulitan Siswa Belajar Matematika pada Materi Fungsi Komposisi dan Fungsi Invers Kelas X SMA Negeri 1 Rajagaluh
Authors: Pramesti Pinkan , Ferdianto Ferry
Published: May 2023

Penelitian ini bertujuan untuk mendeskripsikan kesulitan yang dialami oleh siswa kelas X SMA Negeri 1 Rajagaluh dalam menyelesaikan soal komposisi fungsi dan fungsi invers. Penelitian ini menggunakan pendekatan penelitian kualitatif. Adapun subjek penelitian ini adalah siswa kelas X MIPA 6 SMA Negeri 1 Rajagaluh. Teknik pengumpulan data dalam penelitian ini adalah teknik tes berupa tes uraian sebanyak 2 soal untuk memastikan kesulitan yang dialami siswa dalam  menyelesaikan  soal matematika pokok bahasan fungsi komposisi dan fungsi invers, kesulitan yang dialami siswa dibagi menjadi 3 jenis kesulitan yaitu kesulitan pada konsep, kesulitan keterampilan, dan kesulitan pada pemecahan masalah. Hasil penelitian ini menunjukkan kesulitan siswa dalam menyelesaikan soal fungsi komposisi dan fungsi invers yaitu dari 3 jenis kesulitan yang dialami oleh siswa, kesulitan yang paling banyak dialami siswa adalah kesulitan terhadap pemahaman konsep sebesar 86,7%, diikuti dengan kesulitan pada keterampilan sebesar 73,3% dan kesulitan pada pemecahan masalah sebesar 60%.
Analisis Model Pembelajaran Matematika Realistik untuk Meningkatkan Minat Belajar Matematika
Authors: Zenal Mutaqin Muhammad , Vkar Izul
Published: May 2023

Penelitian ini bertujuan untuk meningkatkan minat pembelajaran matematika siswa dalam pembelajaran operasi perkalian bilangan pecahan, untuk mengetahui kualitas siswa sekolah dasar dalam kemampuan berpikir kreatif matematis. Metode penelitian ini merupakan penelitian kualitatif  untuk mendeskripsikan dan menganalisis kemampuan berpikir kreatif matematis siswa dalam bab bilangan pecahan. Kemampuan berpikir kreatif matematis yang diteliti mencakup lima aspek yaitu  fluency, originality, sensitifity, elaboration, dan fleksibility. Subjek dari penelitian ini yaitu siswa kelas VI D SD Al-Azhar Syifa Budi. Sampel penelitian sebanyak 20 siswa yang dipilih secara purposive sampling. Teknik pengumpulan data berupa tes tertulis, observasi, dan wawancara. Teknik analisis data dilakukan dengan triangulasi. Hasil penelitian menunjukkan bahwa kemampuan berpikir kreatif matematis siswa untuk kategori tinggi berada pada kriteria baik dan kemampuan berpikir kreatif matematis siswa untuk kategori sedang berada pada kriteria baik. Pada aspek originality berada pada kriteria sedang dan kemampuan berpikir kreatif matematis siswa untuk kategori rendah perlu pembinaan. Dengan demikian, siswa yang berkemampuan tingi akan mudah mencerna pelajaran, sedangkan siswa yang berkemampuan rendah perlu latihan yang lebih banyak dan rutin.
Etnomatematika pada Bentuk Jajanan Tradisional di Desa Kemiren Banyuwangi Khas Suku Osing sebagai Bahan Pembelajaran Matematika
Authors: Hasanah Arifatul , Susanto Susanto , Trapsilasiwi Dina
Published: May 2023

Etnomatematika hadir dalam rangka menjembatani antara peserta didik dan kebudayaan, sehingga matematika mudah dipahami. Penelitian ini bertujuan untuk mendeskripsikan etnomatematika pada bentuk jajanan tradisional di desa Kemiren, Banyuwangi khas suku Osing dan menyusun lembar kerja peserta didik dengan melibatkan etnomatematika. Jajanan tradisional khas Osing di desa Kemiren, Banyuwangi dijadikan sebagai objek penelitian karena jajanan tersebut diyakini masih tetap terjaga keunikannya. Jenis penelitian ini adalah penelitian kualitatif dengan pendekatan etnografi. Metode pengumpulan data yaitu observasi oleh 3 orang observer, wawancara dengan 3 pembuat jajanan tradisional khas suku Osing, dan dokumentasi. Hasil penelitian menunjukkan terdapat etnomatematika pada bentuk jajanan tradisional di desa Kemiren, Banyuwangi khas suku Osing yaitu konsep bilangan pecahan dan bilangan bulat, konsep aljabar dan perbandingan, konsep bangun datar dan ruang, konsep transformasi, konsep kesebangunan dan kekongruenan, serta konsep aritmatika sosial.
Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study
Authors: Weis Joachim , Wolf Lucy Raphaela , Boerries Melanie , Kassahn Daniela , Boeker Martin , Dresch Carolin
Published: May 2023

Background

Mobile health (mHealth) tools were developed during the past decades and are increasingly used by patients in cancer care too. Scientific research in the development of mHealth services is required in order to meet the various needs of patients and test usability.

Objective

The aim of this study is to assess patients’ needs, preferences, and usability of an app (My University Clinic [MUC] app) developed by the Comprehensive Cancer Center Freiburg (CCCF) Germany.

Methods

Based on a qualitative cross-sectional approach, we conducted semistructured interviews with patients with cancer, addressing their needs, preferences, and usability of the designed MUC app. Patients treated by the CCCF were recruited based on a purposive sampling technique focusing on age, sex, cancer diagnoses, and treatment setting (inpatient, outpatient). Data analysis followed the qualitative content analysis according to Kuckartz and was performed using computer-assisted software (MAXQDA).

Results

For the interviews, 17 patients with cancer were selected, covering a broad range of sampling parameters. The results showed that patients expect benefits in terms of improved information about the disease and communication with the clinic staff. Demands for additional features were identified (eg, a list of contact persons and medication management). The most important concerns referred to data security and the potential restriction of personal contacts with health care professionals of the clinical departments of the CCCF. In addition, some features for improving the design of the MUC app with respect to usability or for inclusion of interacting tools were suggested by the patients.

Conclusions

The results of this qualitative study were discussed within the multidisciplinary team and the MUC app providers. Patients’ perspectives and needs will be included in further development of the MUC app. There will be a second study phase in which patients will receive a test version of the MUC app and will be asked about their experiences with it.

Trial Registration

Deutsches Register Klinischer Studien DRKS00022162; https://drks.de/search/de/trial/DRKS00022162
Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies
Authors: Hou Jue , Zhao Rachel , Gronsbell Jessica , Lin Yucong , Bonzel Clara-Lea , Zeng Qingyi , Zhang Sinian , Beaulieu-Jones Brett K , Weber Griffin M , Jemielita Thomas , Wan Shuyan Sabrina , Hong Chuan , Cai Tianrun , Wen Jun , Ayakulangara Panickan Vidul , Liaw Kai-Li , Liao Katherine , Cai Tianxi
Published: May 2023

Although randomized controlled trials (RCTs) are the gold standard for establishing the efficacy and safety of a medical treatment, real-world evidence (RWE) generated from real-world data has been vital in postapproval monitoring and is being promoted for the regulatory process of experimental therapies. An emerging source of real-world data is electronic health records (EHRs), which contain detailed information on patient care in both structured (eg, diagnosis codes) and unstructured (eg, clinical notes and images) forms. Despite the granularity of the data available in EHRs, the critical variables required to reliably assess the relationship between a treatment and clinical outcome are challenging to extract. To address this fundamental challenge and accelerate the reliable use of EHRs for RWE, we introduce an integrated data curation and modeling pipeline consisting of 4 modules that leverage recent advances in natural language processing, computational phenotyping, and causal modeling techniques with noisy data. Module 1 consists of techniques for data harmonization. We use natural language processing to recognize clinical variables from RCT design documents and map the extracted variables to EHR features with description matching and knowledge networks. Module 2 then develops techniques for cohort construction using advanced phenotyping algorithms to both identify patients with diseases of interest and define the treatment arms. Module 3 introduces methods for variable curation, including a list of existing tools to extract baseline variables from different sources (eg, codified, free text, and medical imaging) and end points of various types (eg, death, binary, temporal, and numerical). Finally, module 4 presents validation and robust modeling methods, and we propose a strategy to create gold-standard labels for EHR variables of interest to validate data curation quality and perform subsequent causal modeling for RWE. In addition to the workflow proposed in our pipeline, we also develop a reporting guideline for RWE that covers the necessary information to facilitate transparent reporting and reproducibility of results. Moreover, our pipeline is highly data driven, enhancing study data with a rich variety of publicly available information and knowledge sources. We also showcase our pipeline and provide guidance on the deployment of relevant tools by revisiting the emulation of the Clinical Outcomes of Surgical Therapy Study Group Trial on laparoscopy-assisted colectomy versus open colectomy in patients with early-stage colon cancer. We also draw on existing literature on EHR emulation of RCTs together with our own studies with the Mass General Brigham EHR.
The Role of Artificial Intelligence Algorithms in Psychiatry: Advancing Diagnosis and Treatment (Preprint)
Authors: STERN NETANEL
Published: May 2023

UNSTRUCTURED

Abstract—Artificial Intelligence (AI) algorithms have emerged as powerful tools in the field of psychiatry, offering new possibilities for enhancing diagnosis and treatment outcomes. This article explores the utilization of AI algorithms in psychiatry, highlighting their potential to revolutionize patient care. Various AI algorithms, including machine learning, natural language processing (NLP), reinforcement learning, clustering, and Bayesian networks, are discussed in detail. Moreover, ethical considerations and future directions for research and implementation are addressed.
Pharmacokinetic Properties of Dapagliflozin in Hemodialysis and Peritoneal Dialysis Patients
Authors: Barreto Joaquim , Borges Cynthia , Rodrigues Tais Betoni , Jesus Daniel C. , Campos-Staffico Alessandra M. , Nadruz Wilson , Luiz da Costa Jose , Bueno de Oliveira Rodrigo , Sposito Andrei C.
Published: May 2023

Background

Sodium-glucose cotransporter 2 (SGLT2) inhibitors attenuate incident cardiovascular outcomes, irrespective of baseline GFR, in conservatively managed CKD. As this condition inexorably progresses to demanding KRT, drug withdrawal is supported by the current lack of evidence of safety of SGLT2 inhibitors in dialysis.

Methods

This study was a prospective, single-center, open-label trial (ClinicalTrials.gov identifier: NCT05343078) aimed at assessing the pharmacokinetic properties and safety of dapagliflozin in patients with kidney failure on regular dialysis regimens compared with those with type 2 diabetes and age- and sex-matched controls with normal kidney function. Peripheral blood samples were collected from both groups every 30 minutes for 4 hours and again after 48 hours after ingestion of dapagliflozin 10 mg, which occurred immediately before dialysis session initiation in the kidney failure group. This protocol occurred in drug-naïve patients and again after six daily doses of dapagliflozin to assess whether the drug had accumulated. The plasma and dialysate levels of dapagliflozin at each time point were determined by liquid chromatography and used to calculate pharmacokinetics parameters (peak concentration [Cmax] and area under the plasma concentration-versus-time curve) for each participant.

Results

Dapagliflozin Cmax was 117 and 97.6 ng/ml in the kidney failure and control groups, respectively, whereas the corresponding accumulation ratios were 26.7% and 9.5%. No serious adverse events were reported for either group. Dapagliflozin recovered from dialysate corresponded to 0.10% of the administered dose.

Conclusions

In patients with kidney failure on dialysis, dapagliflozin was well tolerated, was slightly dialyzable, and had nonaccumulating pharmacokinetic properties.

Clinical Trial registry name and registration number:

Pharmacokinetics and Dialyzability of Dapagliflozin in Dialysis Patients (DARE-ESKD 1), NCT05343078
Research on the Development of HVAC Technology and Building Energy Conservation in China
Authors: Luo Qiansong
Published: May 2023

Under the influence of the concept of energy conservation and environmental protection, more and more people begin to pay attention to the energy-saving design of HVAC. In building structure, central air conditioning is an important system to adjust indoor temperature and humidity. Because the system will consume a lot of energy in the actual operation process, the design of central air conditioning system has also become an important link affecting energy consumption. At present, China has also put forward the strategy of carbon neutrality and environmental protection, which also puts forward new requirements for HVAC system design. In order to achieve this goal, this paper analyzes the development of HVAC technology and building energy saving in depth, hoping to provide effective reference for relevant personnel.
A Foucauldian and Lacanian Evaluation of the Intrinsic Conflicts among Chinese American Bachelors in Eat a Bowl of Tea
Authors: Yinhua He
Published: May 2023

A good look taken at the analytical findings of a good many scholars who have been devoted to the studies of this novel from the perspectives of Chinatown life in relation the rich lives and experiences depicted in the production of this Chinese American novel Eat a Bowl of Tea (1961) by Louis Chu on the basis of the basic needs to be met for the majority of those womanless and childless men who had been segregated from the normal participation in American mainstream life owing to the popularization of racial discrimination over there at that historical moment. It has been found in an evident fashion that fewer essential explorations have been made of the intrinsic hierarchical conflicts among Chinese American bachelors who have lived in Chinatown in reference to what has been mirrored in this novel in an authentic fashion. For the sake of the analytical inadequacy in this respect, this paper will explore how the characters’ intrinsic hierarchical conflicts with respect to their particular thoughts, profits, moralities and hierarchies have a great impact on the increasing enrichment and improvement of their rich lives and experiences in reference to those among Chinese American workers in 1970s caused by the intrinsic divergences personified in the lives and careers as a result of their actual failure to adapt themselves to American society, American culture, and American history through the historical analysis made of those characters in view of the crucial insights shaped in the development of Foucauldian historicism and Lacanian historicism. In this sense, it will be made rather evident that the profound reflection of this novel will shed some impressive lights on the further rumination of this adaption in the future.
Diversity of planktonic gastropods from western Baja California Peninsula assessed by 18S rDNA sequences
Authors: Pérez-Enríquez Ricardo , Arciniega Alejandra , Díaz-Viloria Noé , Lluch-Cota Salvador E.
Published: May 2023

The study of planktonic mollusks is a relevant element to understand the dynamics of the benthic communities under present and future environmental conditions. We present the description of the biodiversity of planktonic gastropods at 2 sampling sites on the Pacific coast of the Baja California Peninsula, Mexico. Organisms collected from plankton tows at 2 locations (Cabo Tosco, n = 89 and La Bocana, n = 213) were sequenced for a portion of the 18S rDNA gene. High diversity was registered, with 71 Molecular Operational Taxonomic Units (MOTUs), which contrasts with the low phenotypic diversity of stereoscopic images. Differences in community composition between and within sampling sites indicate that planktonic gastropod distribution is not random but probably modulated by micro-environmental processes such as currents or biological events. The presence of non-gastropod sequences within some shells (n = 6) suggests their use as carriers of eggs or larvae of other taxa.
Campus Drive Management System and its Data Visualization
Authors: Sharma Lakshmi
Published: May 2023

Abstract: Nowadays the campus drive information such as students and organization details are managed manually. The purpose of a campus drive Management System is to improve the current system. It offers a user-friendly interface. The proposed system helps students to get their desired job based on their eligibility criteria and Companies can filter the students based on their requirements. Administrator will have clear picture of number of jobs opening, and the number of students applied and the shortlisted candidates. This project allows students, companies, and administrators (TPO) to keep track of their information. It will reduce paperwork and make full use of the setup and organization’s capabilities, With the right login, it can be accessed throughout the enterprise. The proposed system also manages the details of the Student and Placement Cell which reduces the manual work, time and display the data visualization.
Literature Review: Real-Time Bus Tracking, RFID-Based Bus Ticketing, and RFID for Door Access Control
Authors: Somkuwar Prathmesh
Published: May 2023

Abstract: This review of the literature explores the development, application, and assessment of systems that make use of GPS, GSM, NFC, and RFID technologies. The articles highlight the importance of real-time bus tracking systems, which use GPS and GSM to track the whereabouts of buses. RFID-based bus ticketing systems, where tickets are validated and fares are collected using RFID cards, have a number of benefits, such as quicker boarding, more accurate fare collection, and more customer convenience. The evaluation also discusses the usage of RFID technology for door access control system authentication, which enhance security measures and prevent unauthorised entrance. The results highlight the importance of real-time bus tracking, RFID-based ticketing, and authentication systems for boosting security measures, increasing passenger satisfaction, and improving transit efficiency. Modern transport systems are improving thanks to the incorporation of technology like GPS, GSM, NFC, and RFID, which also lays the groundwork for upcoming improvements and innovations.
Card Defender - Credit Card Fraud Detection System
Authors: Patil Pravin
Published: May 2023

Abstract: As the world becomes increasingly digitized, online transactions have become an indispensable part of our daily lives. The increased use of credit cards for online purchases has resulted in a growing concern about credit card fraud, both for businesses and consumers. To combat this issue, we propose a two-factor authentication system that integrates credit card verification with webcam-based face recognition technology to prevent online transaction fraud. Our system provides a reliable and user-friendly solution for credit card fraud detection using face recognition. By implementing a two-factor authentication process, our system reduces the risk of fraud during online transactions and enhances the overall security of online payments
Isolation of Pesticide Resistant Bacteria with Biofertilizer Potential from Agricultural Soil of Erutheyampathy, Palakkad, Kerala
Authors: B Fousiya M. , S Dr Nisy
Published: May 2023

Abstract: Soil loaded with millions of microorganisms forms the most important medium for the survival, growth and multiplication of microorganisms along with plant growth promotion. Understanding the importance of soil micro flora will enable us to learn deeply about soil ecosystem which could be effectively utilized in agricultural practices. The quantity of production is increased gradually by treating large variety of chemical pesticides, which also inhibits the useful microorganisms present in the soil. Chemical pesticides kills the useful bacteria, nematodes, earthworms also causing health effects to people. In this study the soil samples were collected from tomato farms of Erutheympathy where chemical pesticides is used. Total heterotopic population were determined and predominant bacteria were identified as genus Bacillus, Pseudomonas, Serratia, Micrococcus and Enterococcus. After studying pesticide resistance property Pseudomonas found to be resistant to pesticide followed by Serratia. After analysing the bio fertilizer potential for NPK of isolated bacteria Bacillus and Pseudomonas found to solubilize Phosphorus and Potassium. Bacillus, Serratia, Micrococcus and Enterococcus found to have role in conversion of nitrogen which can be absorbed by plants. Unique combination of the soil bacteria with pesticide resistance and bio fertilizer property is a boon to farmers since soil fertility can be retained even after application of chemical pesticide. Key Words: Tomato, Pesticides, Bio fertilizers
Diabetes Mellitus Prediction using Machine Learning
Authors: Chaubey Mangalam
Published: May 2023

Abstract: Diabetes is a chronic metabolic disorder affecting millions of people worldwide, and machine learning has shown great potential in predicting the disease using medical and demographic features from patient data. In this paper, we propose a hybrid model of Support Vector Machines (SVM) and XGBoost for diabetes prediction, which combines the strengths of both algorithms to achieve higher accuracy and better performance. We evaluate the proposed model using the Pima Indian diabetes dataset and compare its performance with other machine learning models. To improve the performance of the hybrid model, we also apply feature selection techniques to select the most relevant features from the dataset. Our results show that the proposed hybrid model of SVM and XGBoost achieves higher accuracy, recall, and F1 score compared to other machine learning models such as Logistic Regression, Random Forest, and Naive Bayes. Furthermore, the performance of the hybrid model is significantly improved by feature selection, which helps to reduce the dimensionality of the dataset and focus only on the most relevant features.
Chili Leaf Disease Prediction Using CNN
Authors: Siddiqui Faisal Mubeen
Published: May 2023

Abstract: Chili leaf diseases cause significant damage to chili plants, leading to reduced crop yield and economic losses for farmers. Early detection and diagnosis of these diseases are crucial for effective disease management. In this research paper, we propose a chili leaf disease prediction model using Convolutional Neural Network (CNN). The proposed model utilizes an image dataset collected from different regions ,consisting of chili leaf images infected with common chili leaf diseases, like bacterial leaf spot, leaf Curl , Mosaic virus, etc. We pre-processed the dataset to enhance the image quality and to remove noise. The preprocessed dataset was split into training and validation sets. The CNN model was trained using the training set and validated using the validation set. The proposed model achieved an high accuracy on the validation set. The proposed model can be used to predict the occurrence of chili leaf diseases in real-time, which can help farmers in taking preventive measures to protect their crops
A Distributed Clustering Scheme for Dense Wireless Sensor Networks
Authors: Khapre Gajanan , Nikam Priyanka Sandesh , Sathe Minal
Published: May 2023

Abstract: A sensor node, also known as an Alfeo (mainly in North America), is a sensor network node capable of processing, collecting sensor data, and communicating with other connected nodes in the network. Alpheus is a node, but a node is not always a point. Each sensor node has a microprocessor and some memory. In addition, each sensor node has one or more sensor devices such as acoustic sensors, microphone arrays, and video cameras, infrared, seismic or magnetic sensors. However, dead batteries in sensor nodes are difficult to replace. A typical sensor node consumes part of its energy during wireless communication. This research paper proposes to develop a well estimated distributed clustering model for dense wireless sensor network fields that provides improved performance over the existing clustering algorithm LEACH. The two robbery concepts behind the proposed system are the hierarchical distributed clustering mechanism and the threshold concept. Energy consumption is significantly reduced, which significantly extends the life of sensor nodes
Scientific production on Gerodontology as a dental specialty – Bibliometric literature review
Authors: De Castilhos Eduardo Dickie , Rodrigues Junior Sinval Adalberto
Published: May 2023

Introduction: Gerodontology or ‘geriatric dentistry’ exists as a field since the 1970s. However, its presence in the undergraduate dental curriculum is limited and distorted even today. Aim: Therefore, this study aimed to characterize the scientific production on gerodontology. Methodology: Studies focusing on gerodontology were searched in PubMed NCBI in November 2022 and constituted a database that was analyzed in Bibliometrix 4.0 for R. Descriptive and network analysis were applied to data. The conceptual structure analysis involved keywords co-occurrence network and thematic map. Results: The scientific production in the field of Gerodontology has a 7.2% annual growth rate. Japan is the most productive country in the field, followed by Switzerland. Most of the ten more productive journals are related to conventional dental specialties, such as clinical dentistry, prosthetics and dental implant. The analysis of the conceptual structure presented the current tendency of observational studies addressing the oral health and the quality of life of old people and related factors. Testing of materials meant for oral rehabilitation was found with lower relevance and densely studied during the assessed time spam. Conclusion: The profile of publication and the themes addressed in gerodontology focus on the association of oral conditions and risk factors. Testing of materials and teaching of gerodontology are also explored. Still, important issues such as prejudice related to ageing, working market of gerodontology and the formation of qualified personnel in the field still require further study.
Efisiensi Penggunaan Teknik Hybrid Terhadap Pembuatan Roti Sourdough
Authors: Budiman Yulius , Jayendra Putu Sabda
Published: May 2023

Tujuan dilakukannya penelitian ini adalah untuk mengetahui perbandingan hasil akhir dan karakteristik dari penerapan teknik hybrid dan yang menggunakan teknik konvensional terhadap pembuatan roti sourdough, dan pendapat dari responden, terhadap hasil roti Sour dough yang menggunakan tekik hybrid, dan yang mengguakan metode konvensional. Pendekatan yang digunakan dalam penelitian ini adalah kuantitatif dan kualitatif. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah eksperimen, wawancara, kuisioner. Teknik analisis yang digunakan dalam penelitian ini adalah analisis terapan, analisis deskriptif kuantitatif, dan analisis deskriptif kualitatif. Dari hasil eksperimen didapati bahwa karakteristik yang dihasilkan dari roti sourdough yang menggunakan teknik hybrid mendekati karakteristik dari roti sourdough yang menggunakan teknik konvensional, namun terdapat sedikit kekurangan yaitu rasa dan aroma khas dari roti sourdough yang kurang maksimal.
 
The purpose of this study was to compare the final results and characteristics of the application of hybrid techniques and those using conventional techniques to sourdough bread making, and the opinions of respondents, on the results of sourdough bread using hybrid techniques, and those using conventional methods. The approach used in this research is quantitative and qualitative. Data collection techniques used in this study were experiments, interviews, and questionnaires. The analytical techniques used in this research are applied analysis, quantitative descriptive analysis, and qualitative descriptive analysis. From the experimental results, it was found that the characteristics produced from sourdough bread using a hybrid technique were close to the characteristics of sourdough bread using conventional techniques, but there were a few drawbacks, namely the taste and distinctive aroma of sourdough bread that were less than optimal.