bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Severe Grading in Knee OsteoArthritis from MRI using
Ensemble Deep Learning
Authors: Alyami Jaber
Published: March 2024

Background:

Accurate finding of Knee Osteoarthritis (KOA) from structural Magnetic Resonance Imaging (MRI) is a difficult task and is greatly subject to user
variation. Furthermore, the identification of knee osteoarthritis (KOA) from MRI scans presents a challenge due to the limited information
available. A novel methodology using an ensemble Deep Learning algorithm, combining EfficientNet-B3 and ResNext-101 architectures, aims to
forecast KOA advancement, bridging the identified gap in clinical trials.

Objectives:

The study aims to develop a precise predictive model for knee osteoarthritis using advanced deep-learning architectures and structural MRI scan
data. By utilizing an ensemble technique, the model's accuracy in predicting disease development is enhanced, surpassing the limitations of
traditional biomarkers.

Methods:

The study used the Osteoarthritis Initiative dataset to develop an ensemble Deep Learning model that combined EfficientNet-B3 and ResNext-101
architectures. Techniques like cropping, gamma correction, and in-slice rotation were used to expand the dataset and improve the model's
generalization capacity.

Results:

The Deep Learning model demonstrated 93% validation accuracy on the OAI dataset, accurately capturing subtle patterns of knee osteoarthritis
progression. Augmentation approaches enhanced its resilience

Conclusion:

Our ensemble Deep Learning approach, using ResNext-101 and EfficientNet-B3 architectures, accurately predicts knee osteoarthritis courses using
structural MRI data, demonstrating the importance of data augmentation for improved predictive tools.
Emerging Technologies for Sensitive Detection of Organophosphate
Pesticides: A Review
Authors: Kumaravel A. , Aishwarya S. , Sathyamoorthi S.
Published: March 2024

The use of organophosphate pesticides (OPPs) in agricultural practices improves crop
yield and controls pests, but their indiscriminate use and persistence in the environment pose significant
health risks. Therefore, it has become increasingly important to develop reliable and efficient
detection methods for OPPs to ensure food safety and monitor their presence. In recent years, OPP
detection methods have undergone significant advancements. Sensors such as colorimetric, fluorescence,
electrochemical, and impedometric offer several advantages over traditional methods, such as
high sensitivity, selectivity, and portability. The purpose of this review paper is to provide an overview
of recent developments in OPP detection methods. The paper discusses the different types of
sensors that are available for the detection of OPPs, as well as their advantages and disadvantages.
Many electrochemical methods have been employed to investigate OPP detection, including voltammetry,
impedance spectroscopy, and amperometry. The integration of nanomaterials, such as carbon
nanotubes, graphene, and metal nanoparticles, has significantly enhanced the performance of
electrochemical sensors by providing high surface area, enhanced electron transfer, and specific analyte
interactions. Furthermore, the review discusses the utilization of biomolecules, such as enzymes
and aptamers, as recognition elements in sensor platforms for selective and sensitive OPP detection.
The incorporation of these biomolecules offers high specificity and enables real-time monitoring of
OPP residues in food samples and environmental matrices. It emphasizes the importance of continued
research and development to optimize detection methods, improve sensor performance, and
make these technologies more widely accessible for effective monitoring and control of OPP contamination
in various domains.
Blockchain Associated Machine Learning Approach for Earlier Prognosis and Preclusion of Osteoporosis in Elderly
Authors: Ramaraj Kottaimalai , Rajasekaran Murugan Pallikonda , Amiya Gautam , Govindaraj Vishnuvarthanan , Vasudevan Muneeswaran , Thirumurugan Bentham Science Publisher , Zhang Yu-Dong , Abdullah Sheik , Thiyagarajan Arunprasath
Published: March 2024

Osteoporosis (OP), or porous bone, is a severe illness wherein an
individual's bones weaken, increasing the likelihood of fractures. OP is caused by
micro-architectural degradation of bone tissues, which raises the probability of bone
fragility and can result in bone fractures even when no force is placed on it. Estimating
bone mineral density (BMD) is a prevalent method for detecting OP. For women who
have reached menopause, prompt and precise forecasts and preventative measures of
OP are essential. BMD can be measured using imaging methods like Computed
Tomography (CT) and Dual Energy X-ray Absorptiometry (DEXA/DXA). Blockchain
(BC) is a revolutionary technique utilized in the health sector to store and share patient
information between clinics, testing centres, dispensaries, and practitioners. The
application of Blockchain could detect drastic and even serious errors. As an outcome,
it may improve the confidentiality and accessibility of medical information interchange
in the medical field. This system helps health organizations raise awareness and
enhance the evaluation of health records. By integrating blockchain technology with
machine learning algorithms, various bone ailments, including osteoporosis and
osteoarthritis, can be identified earlier, which delivers a report regarding the prediction
of fracture risk. The developed system can assist physicians and radiologists in making
more rapid and better diagnoses of the affected ones. In this work, we developed a
completely automated mechanism for suspicious osteoporosis patients that uses
machine learning techniques to improve prognosis and precision via different
processes. Here, we developed a computerized system that effectively integrates principal component analysis (PCA) with the weighted k-nearest neighbours algorithm
(wkNN) to identify, predict, and classify the BMD scores as usual, osteopenia, and
osteoporosis. The ranked results are validated with the DEXA scan results and by the
clinicians to demonstrate the efficacy of the machine learning techniques. The
laboratories use BC to safely and anonymously share the findings with the patients and
doctors.
Online Detection of Malnutrition Induced Anemia from Nail Color using Machine Learning Algorithms
Authors: Sujatha K. , Sudha George Victo , Bhavani NPG. , Kalpatha Reddy T. , Kanya N. , Ganesan A.
Published: March 2024

This chapter enlightens the identification of anaemia due to malnutrition
from the colour of the nail images using a smartphone application. This method enables
remote measurements and monitoring using a noninvasive procedure. Since this
method does not involve invasive techniques, there is no blood loss, and it is painless.
In addition, the smartphone application facilitates easy measurements of various
physiological parameters related to the blood. They include Hemoglobin (Hb), iron,
folic acid, and Vitamin B12. This technique can be accomplished using a feed-forward
neural network trained with a Radial Basis Function Network (R.B.F.N.). The image of
the fingernails is photographed using a camera built into the smartphone. Online
anaemia detection smartphone application will classify the anaemic and Vitamin B12
deficiencies as onset, medieval, and chronic stages by feature extraction from the nail
images. The specific measurements made instantly can extract features like the colour
and shape of the fingernails. These features train the R.B.F.N. to identify Anemia due
to malnutrition. This method will enable the depreciation and disposal problems
associated with bio-medical waste. Also, this method will offer a contactless online
measurement scheme. The application could help in the early detection of Anemia due to malnutrition, allowing users to seek medical advice and intervention promptly. In
terms of accessibility, by utilizing a smartphone application, this technology could
reach a broad audience, including those in remote or underserved areas.

;Regarding the privacy of medical images, Blockchain's encryption and decentralization
would enhance data privacy and control for users. The data extracted from the nail
images for research is obtained with the user's consent. Anonymized data could be used
for research purposes, contributing to a better understanding of anaemia and
malnutrition trends.
Detection of Breast Cancer Using Context-Aware Capsule Neural Network
Authors: Manzoor Beigh Tabiya
Published: March 2024

Cancer is the second deadliest disease in the world. Breast cancer tops the
list among the diseases affecting women. Specific strategies should be devised which
will mitigate the effects of breast cancer. The risks can be mitigated if the detection
takes place at an early stage. Early detection leads to improved outcomes, and survival
remains a cornerstone of cancer control. Currently, mammograms are used to capture
and observe the 2D nature of the tissues. 2D mammogram reports are used to train
convolutional neural networks. 2D mammograms capture anterior and posterior images
of the breast. These images, alone, are not sufficient to adjudicate whether the lump is
benign or malign. Convolutional Neural Networks have attained great success in image
classification, but they fail in some areas since they learn about the image statically.
They do not take into consideration spatial information about the image and its subparts. There is no significant change reflected in the output if there is some alteration in
the input. CNNs tend to lose lots of valuable information in the process of pooling. To
overcome all these shortcomings, 3D data will be used to train the network, which
captures all the orientations of the tissues. 3D mammograms, also known as
tomosynthesis, are also very helpful for women who have concentrated dense tissues.
Dense tissues make it difficult to locate the abnormalities. In addition to 3D data,
clinical history, genomic information, and pathology reports have been taken into
consideration. The amalgamation of the heterogenic data helps in the accuracy of the
prediction because it will analyze all the contexts before arriving at a decision. Capsule
neural networks have been used to overcome the drawbacks of convolutional neural
networks. Convolutional neural networks require a lot of training data, which is not
readily available. It takes a lot of time to train the model since the volume of data is
huge. It is not capable of recognizing deformed objects in various orientations. Capsule
Neural Network addresses all these issues and improves the performance reasonably.
Artificial Intelligence Assisted Colonoscopy in Diagnosis of Colorectal Cancer
Authors: Mehta Aashna , Andrew Awuah Wireko , Asri Sucharu , Jawad Zahid Muhammad , Cheng Ng Jyi , Patel Heli , Huang Helen , Candelario Katherine , Anand Ayush , Rahman Toufik-Abdul , Sikora Vladyslav , Isik Arda
Published: March 2024

As medicine continuously evolves, recent advances such as Artificial
Intelligence gain prominence for their potential role in enhancing routine clinical
practice. One such application is its role in diagnostic colonoscopy to aid in the early
detection of precancerous lesions and enable prompt management.
Blockchain Security in Healthcare
Authors: Habib Gousia , Ahmed Imtiaz , Yousuf Omerah , Ishfaq Malik
Published: March 2024

The most liked blockchain healthcare application at present is safeguarding
our critical medical data. There are many security issues that the healthcare sector must
deal with. Between July 2021 and June 2022, 692 significant healthcare data breaches
were revealed. The thieves grabbed information from banks, credit cards, health data,
and genomic tests. Data on the blockchain is incorruptible, decentralized, and
transparent, which makes it perfect for security applications. Furthermore, blockchain
protects the confidentiality of medical data by being transparent and private, hiding
anyone’s identity with intricate and secure algorithms. Patients, medical professionals,
and healthcare providers may simply and securely exchange the same information
thanks to the technology’s decentralized nature. Blockchain applications enable the
accurate identification of medical errors, including risky ones. Blockchain technology
significantly contributes to the handling of fraud in clinical trials. In this case, the
technology may increase data efficiency in the healthcare sector. By supporting a
distinct data storage pattern, the system can aid in preventing data manipulation in the
healthcare industry. It guarantees adaptability, connectivity, accountability, and data
access authentication. The confidentiality and safety of health records are essential for
different purposes. Healthcare data can be digitized and protected in a decentralized
manner with blockchain technology.
Framework towards Smart Healthcare Tourism Based on the Internet of Medical Things (IoMT)
Authors: Rani Nidhi , Singla Shakuntla , Khurana Pooja
Published: March 2024

COVID-19, or Corona Virus Disease, has developed as a global epidemic,
affecting nearly every country. Infected humans are multiplying at an exponential rate
throughout the planet. With such many patients, healthcare facilities are in high
demand. Although every government is putting up considerable effort to combat the
epidemic, a lack of medical facilities, particularly in highly populated countries such as
India, poses a significant issue. The fear of a pandemic has trapped everyone in
residences, wreaking havoc on various industries. Pandemics are wreaking havoc on
the hotel and tourist industries. Smart healthcare tourism is the newest IoT-based
healthcare tourism application to gain traction. This paper outlines an Internet of
Things-based health monitoring system that may be helpful for foreign visitors and
hotel management throughout maintaining the health of both its guests and staff. The
system will identify and examine the body’s many vital signs before telling the
operator the condition of each person’s health. The study focuses on the application of
IoT technology, which includes wearable sensors, to monitor health eminence, identify
sickness, and provide online well-being facilities for the health tourism industry.
Application of Industry 4.0: AI and IoT to Improve Supply Chain Performance
Authors: Rana Preeti , Joshi Kamlesh , Gabriel Emmanuel
Published: March 2024

Today's companies acknowledge the importance of Artificial Intelligence
and IoT (- Internet of Things) to achieve quality and operational efficiency in supply
chain performance. Numerous elements, such as shifting demands, routes, severe
disruptions, and compliance problems, continuously impair supply chain systems. As a
result, supply chains need to be monitored and continually optimized. And that's why
we needed advanced technologies like Artificial Intelligence and IoT in the supply
chain process. The vision of Industry 4.0 emphasizes global machine networks in an
innovative factory environment capable of exchanging information and selfmonitoring. Supply chain resilience can be increased by utilizing AI and IoT
technologies, often known as AIoT, which have recently been essential in enhancing
supply chain performance. This study investigates the potential effects of Industry 4.0
and related technology advancements, such as Artificial Intelligence and IoT, on
Supply Chain (SC) performance. Through an exploratory study, our research will
assess the impact of AI and IoT on the efficiency of the industrial supply chain. This
study aims to shed new light on the subject and offer suggestions for further research.
Praktik komunikasi ritual dalam budaya Merariq: studi kasus pada budaya pernikahan Suku Sasak Lombok
Authors: Assyihabi Rahmatullah , Akalili Awanis
Published: March 2024

Abstrak            Penelitian ini bertujuan untuk mendeskripsikan : (1) Praktik komunikasi ritual yang dilakukan Suku Sasak dalam budaya merariq; (2) Komunikasi verbal dan nonverbal yang berlangsung pada proses praktik budaya merariq; (3) Komunikasi interpersonal yang dilakukan pelaku budaya merariq dalam membangun hubungan interpersonal; (4) Komunikasi yang menekan baik secara langsung maupun tidak  langsung  yang dilakukan untuk mendapatkan persetujuan perempuan melakukan pernikahan setelah adanya praktik budaya merariq; dan (5) Respon yang ditunjukkan setelah mendapat paksaan untuk  menikah setelah praktik budaya merariq dilakukan. Metode penelitian ini menggunakan pendekatan kualitatif dengan jenis studi kasus. Metode pengumpulan data adalah wawancara. Hasil penelitian ini menunjukkan: (1) Komunikasi ritual dalam budaya merariq mengalami transformasi yang terlihat dari adanya proses atau tahapan yang tidak dijalankan; (2) Komunikasi interpersonal yang berlangsung tidak sepenuhnya efektif karena aspek-aspek komunikasi efektif seperti keterbukaan, empati, dukungan, rasa positif, dan kesetaraan yang kurang terpenuhi; (3) Kurangnya kesetaraan membentuk komunikasi yang cenderung menekan perempuan;4) Kekeliruan dalam memahami konteks komunikasi dalam budaya merariq membentuk stigma negatif bagi perempuan.Kata kunci  : Budaya Merariq, Ketimpangan Gender, Komunikasi Interpersonal, Komunikasi Ritual Abstract            This research aims to describe: (1) Ritual communication practices carried out by the Sasak Tribe in merariq culture; (2) Verbal and nonverbal communication that takes place in the process of merariq cultural practices; (3) Interpersonal communication carried out by merariq cultural actors in building interpersonal relationships; (4) Communication that pressures both directly and indirectly carried out to get women's consent to marry after the practice of merariq culture; and (5) The response shown after being forced to marry after the practice of merariq culture is carried out. This research uses a qualitative approach with a case study method. Data collection methods is interviews. The results of this study show: (1) Ritual communication in merariq culture undergoes a transformation that can be seen from the process or stages that are not carried out; (2) Interpersonal communication that takes place is not fully effective because aspects of effective communication such as openness, empathy, support, positive feelings, and equality are not fulfilled; (3) Lack of equality forms communication that tends to suppress women; (4) Mistakes in understanding the context of communication in merariq culture form a negative stigma for womenKeywords : Gender Inequality, Merariq Culture, Interpersonal Communication, Ritual Communication
Dampak Perubahan Teknologi Terhadap Kesehatan Mental Mahasiswa Ilmu Komunikasi Universitas Negeri Jakarta Angkatan 2019
Authors: Fatkhan Alif , Subarsa Putri Kinkin Yuliaty
Published: March 2024

AbstrakDi era seperti ini teknologi menjadi sangat penting dalam kehidupan. Seperti halnya dalam pendidikan,kesehatan, transportasi dan bahkan sampai kepada militer. Akan tetapi dibalik sebuah suksesnya sebuah teknologijuga dapat berbagai masalah, salah satunya adalah kesehatan mental. Studi kasus yang peneliti tulis pada penelitianini merupakan mahasiswa ilmu komunikasi Universitas Negeri Jakarta yang dimana semua generasi masih dalamkategori pengguna teknologi kelompok muda. Pengujian ini dilaksanakan dalam rangka mengetahui korelasi darivariabel X mengenai Perkembangan Teknologi dan variabel Y mengenai kesehatan mental. Penelitian yang telahditeliti ini memakai pendekatan penelitian kuantitatif. Penelitian kuantitatif adalah salah satu penelitian untukmenjelaskan hipotesis penelitian, yang dibuktikan dengan hipotesis yang diprediksikan oleh peneliti. Penelitian iniselaras paradigma positivisme. Positivisme merupakan salah satu komunikasi source-oriented. Hasil dari prosestersebut tergantung pada usaha yang dilakukan oleh pengirim pesan, mempelajari karakteristik atau ciri daripenerima untuk menentukan rencana dalam penyampaian pesan.Kata kunci : Teknologi, kesehatan mental , mahasiswa.
Komunikasi interpersonal orang tua dengan siswa dalam upaya menanggulangi kenakalan remaja
Authors: Bella Rani , Suranto Suranto
Published: March 2024

Abstrak            Penelitian ini bertujuan (1) untuk mengetahui komunikasi interpersonal orang tua dengan siswa dalam upaya menanggulangi kenakalan remaja. (2) untuk mengetahui faktor-faktor yang mempengaruhi komunikasi interpersonal orang tua dan siswa dalam upaya menanggulangi kenakalan remaja. Penelitian ini merupakan penelitian dengan pendekatan kualitatif. Tempat penelitian di SMP N 5 Lawe Sigala-gala Metode yang digunakan adalah observasi, wawancara dengan mengumpulkan pertanyaan lalu di record dan dokumentasi. Subjek dalam penelitian ini adalah siswa, guru, dan orang tua. Peneliti mengumpulkan informasi dengan cara mewawancarai informan. Sumber data yang digunakan ialah sumber data primer dan sekunder. Teknik analisis data yang dilakukan ialah pengumpulan data, reduksi data, penyajian data, penarikan kesimpulan/verifikasi. Hasil penelitian menunjukkan komunikasi interpersonal orang tua dengan siswa dalam menanggulangi kenakalan remaja di SMP Negeri 5 Lawe Sigala-gala masih kurang baik. Hal itu tercermin dari sibuk-Nya orang tua dalam bertani sehingga komunikasi yang terjalin antara orang tua dengan siswa minim. Terdapat faktor-faktor yang dalam komunikasi interpersonal dalam upaya menanggulangi kenakalan remaja yaitu: faktor kejujuran, persepsi interpersonal, hubungan interpersonal, lingkungan fisik dan atraksi interpersonal.Kata kunci : Komunikasi Interpersonal, Orang Tua dan Anak, Kenakalan Remaja Abstract            This study aims (1) to determine the interpersonal communication of parents with students in an effort to overcome juvenile delinquency. (2) to determine the factors that influence the interpersonal communication of parents and students in an effort to overcome juvenile delinquency. This research is a qualitative approach. Research site at SMP N 5 Lawe Sigala-gala The methods used are observation, interviews by collecting questions and then recording and documentation. The subjects in this study were students, teachers, and parents. Researchers gather information by interviewing informants. The data sources used are primary and secondary data sources. Data analysis techniques carried out are data collection, data reduction, data presentation, conclusion drawing / verification or called interactive models. The results showed that interpersonal communication between parents and students in tackling juvenile delinquency at SMP Negeri 5 Lawe Sigala-gala was still not good. This is reflected in the busy parents in farming so that communication between parents and students. There are factors that are in interpersonal communication in an effort to overcome juvenile delinquency, namely: honesty factors, interpersonal perceptions, interpersonal relationships, physical environment and interpersonal attractions. Keywords : Interpersonal Communication, Parent and Child, Juvenile Delinquency
School counselor leadership skills development: A systematic literature review
Authors: Yulizar Yulizar , Ahman Ahman , Nurihsan Juntika , Saripah Ipah
Published: March 2024

Studies about school counselor leadership skills development shows diverse findings. Therefore, a comprehensive review of the emerging literature is required. This study utilized a systematic literature review in order to assess existing understanding about the school counselor leadership skill development. This research adhered to the Standard Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) to collect 15 articles in accordance with the inclusion criteria. This article describes the context of leadership skill development among school counselors over the last ten years and measurement methods used in previous studies. It identifies possible contexts for developing future school counselor leadership skills. The research results are expected to provide insights for research designs in the future, so that they can formulate a framework for developing school counselor leadership skills that are meaningful and useful for improving the counseling profession. The findings of this research offer straightforward access to the recent state of research about school counselor leadership skills development. Some recommendations for research in the future are1) leadership skills development that can be carried out at the doctoral level; 2) considering emotional intelligence in the preparation of intervention programs; and 3) developinhg the cultural and environmental context of the school counselors.
Structural Tectonic Scheme Creation Based on Seismic-Gravity Models and Isostasy Usage: Ural Case
Authors: Martyshko Petr , Ladovskii Igor , Byzov Denis , Cidaev Aleksandr
Published: March 2024

Process of Earth’s density models creation leads to the solution of direct and inverse gravimetry problems. The inverse problem of gravimetry is a classic example of an ill-posed problem: in the common statement, its solution is not unique and unstably depends on input data. Therefore, it is necessary to determine solutions belonging substantial sets of correctness, choosing reasonable models of an initial approximation. In this paper the application of complex interpretation methods of seismic and gravitational data for the creation of three-dimensional models of crust and the upper mantle are presented. Original algorithms and programs were developed for implementation of these methods. They contain solution of non-linear (structural) inverse problem and the solution of the linear three-dimensional inverse problem taking note of the side sources. Coefficients of the “density-velocity” correlation formulas for a number of geo-traverses were defined. Also, we suggest a technique of tectonic maps construction, which is based on the lithostatic pressure calculation. Its idea can be applied to both two- and three-dimensional cases. In the 2D case we show the way to split the mantle to blocks with vertical boundaries. If lithostatic compensation hypothesis is adopted, the method also allows one to calculate density value for each block. Such separation of the mantle helps to diminish discrepancy between model and observed fields. In 3D case we suggest a method, which can be used to construct tectonic structure maps with information about approximate depth and height of each tectonic block.
World Seismic Networks and Earthquake Catalogs
Authors: Gvishiani Alexei , Dzeranov B , Skorkina Anna , Dzeboev Boris
Published: March 2024

This paper is devoted to the review of currently functioning seismological agencies, seismic monitoring networks created, developed and supported by them, as well as earthquake catalogs produced. Particular attention is focused on international and national seismological centers and seismic networks. A historical insight about the first observations made by seismic networks completes the picture. The basic parameters of the main seismic networks and the principles of functioning for seismological centers are considered. The key characteristics of seismic catalogs that determine the criteria for their quality are discussed. The system-analytical approach to solving the urgent problem of creating the most complete and representative earthquake catalogs with a unified magnitude scale by integrating data from international, national and regional catalogs in the studied region is presented.
СОВЕРШЕНСТВОВАНИЕ ЗАКОНОДАТЕЛЬСТВА В ОБЛАСТИ ЦЕНООБРАЗОВАНИЯ НА ПРОДУКЦИЮ, ПОСТАВЛЯЕМУЮ ПО ГОЗ
Authors: Ковалевский Ю.
Published: March 2024

ЗАСЕДАНИЕ СЕКЦИИ ПО ВОЕННО-ПРОМЫШЛЕННОЙ ПОЛИТИКЕ И БЮДЖЕТУ ЭКСПЕРТНОГО СОВЕТА ПРИ КОМИТЕТЕ СОВЕТА ФЕДЕРАЦИИ ПО ОБОРОНЕ И БЕЗОПАСНОСТИ
Portrayal of Sex Workers in Hindi Cinema
Authors: Singhal Kritika
Published: March 2024

Abstract: This paper will study the different aspects in which prostitution has been portrayed in the Indian cinema. Bollywood has mostly been infamous in its portrayal of women characters in general. There is primarily a stereotypical, misogynistic outlook in the way female prostitutes are perceived in art, whether it be literature or cinema. Along with this, there has been an overt romanticisation of female prostitutes over the decades. This paper is an attempt to portray the different aspects of prostitution as reflected in the journey of Hindi cinema from as early as the 1950s. The criteria of analysis for this paper will majorly be two dimensional. Firstly, to contrast movies from different eras;from black and white movies such as Pyaasa[1957] to movies as modern as Gangubai Kathiawadi[2022]. The motive to inculcate this criteria is to highlight the slight evolution in the representation of female prostitutes; from the continuous trope of ‘damsel in distress’ who has a heart of gold to the girlboss of modern Indian cinema.
Hubungan antara Usia, Usia Kehamilan, Kadar Leukosit, dan Paritas dengan Tingkat Keparahan Gejala Covid-19 pada Ibu Hamil di Rumah Sakit Umum Daerah Sanjiwani Gianyar pada Tahun 2020-2021
Authors: Ni Wayan Aurelia Niriswari Darmawan  , I Gusti Ngurah Made Bayuningrat  , Ni Putu Diah Witari
Published: March 2024

Penyakit Coronavirus 2019 atau COVID-19 adalah penyakit pernapasan akut yang disebabkan oleh Sindrom Pernafasan Akut Parah Coronavirus tipe 2 (SARS-CoV-2) dan menyebar dengan cepat di seluruh belahan dunia. Ibu hamil merupakan salah satu kelompok yang rentan terkena covid-19. Hal ini dikarenakan ibu hamil memiliki sistem imunitas tubuh yang rendah. Perubahan fisiologis selama kehamilan memiliki dampak yang signifikan pada sistem kekebalan tubuh, sistem pernapasan, fungsi kardiovaskular, dan koagulasi. Penelitian ini bertujuan untuk mengetahui hubungan antara usia, usia kehamilan, kadar leukosit, dan paritas dengan tingkat keparahan gejala COVID-19 pada ibu hamil di Rumah Sakit Umum Daerah Sanjiwani Gianyar pada Tahun 2020-2021. Penelitian ini merupakan penelitian analitik korelasi dengan desain Cross Sectional. Data penelitian merupakan data sekunder, yaitu data rekam medis dari ibu hamil positif COVID-19 di Rumah Sakit Umum Daerah Sanjiwani Gianyar pada tahun 2020-2021. Hasil penelitian ini mendapati bahwa tidak terdapat hubungan antara usia (p > 0,05), kadar laukosit (p > 0,05), dan paritas (p > 0,05) dengan keparahan gejala COVID-19 pada perempuan hamil. Terdapat hubungan antara usia kehamilan terhadap keparahan gejala COVID-19 pada perempuan hamil (p < 0,05).
Hubungan Rasio Lebar Bahu dan Panjang Leher terhadap Daya Tahan Kardiorespiratori pada Anggota Tim Bantuan Medis Baswara Prada
Authors: Agus Pramana Shakti Manik Artha  , Tanjung Subrata  , Fransiscus Fiano Anthony Kerans
Published: March 2024

Daya tahan kardiorespirasi merujuk pada kemampuan sistem jantung-paru serta otot yang digunakan dalam mengantarkan oksigen selama aktivitas fisik berkelanjutan. Daya tahan kardiorespirasi untuk setiap tipe tubuh (somatotype) pada umumnya berbeda. Perbedaan somatotype pada penelitian ini meliputi rasio lebar bahu terhadap panjang leher. Penelitian ini mempunyai tujuan berupa untuk mencari tau hubungan rasio lebar bahu serta panjang leher kepada daya tahan kardiorespirasi anggota TBM Baswara Prada. Metode yang diterapkan dalam studi ini adalah observasional menggunakan pendekatan cross sectional. Pengambilan sampel dengan non-probability sampling melalui pendekatan consecutive sampling. Partisipan dalam penelitian ini terdiri dari 70 mahasiswa yang merupakan anggota TBM Baswara Prada. Penelitian ini memperoleh data primer melalui pengamatan langsung terhadap subjek penelitian, yang sesuai dengan kriteria inklusi dan eksklusi yang ditetapkan. Data dianalisis menggunakan uji statistik Korelasi Pearson dengan data terdistribusi normal. Hasil yang diperoleh adalah sebagai berikut: Rata-rata rasio lebar biakromial dan panjang leher serta daya tahan kardiorespirasi; 2,83+0,35; 59,25+11,91; serta hubungan antara keduanya didapatkan signifikan negatif kuat (0,05) dengan koefisien korelasi (-0.720). Kesimpulan penelitian ini adalah terdapat hubungan rasio lebar biacromial dan panjang leher dengan daya tahan kardiorespirasi yang bermakna negatif dan signifikan. Studi ini diharapkan dapat berkontribusi pada peningkatan kapasitas sumber daya manusia TBM Baswara dalam pemilihan anggota dengan indikator daya tahan kardiorespiratori yang baik dapat menggunakan rasio lebar bahu dan panjang leher.
Hubungan Leukopenia dengan Tingkat Keparahan Demam Berdarah Dengue pada Anak di RSUD Wangaya Denpasar pada Januari-Agustus 2021
Authors: Anak Agung Ngurah Arya Yugadhyaksa  , Ni Kadek Elmy Saniathi  , Ni Wayan Widhidewi
Published: March 2024

Demam berdarah dengue (DBD) yaitu penyakit yang harus selalu diwaspadai tiap tahunnya khususnya pada anak-anak karena anak-anak lebih rentan terkena infeksi dengue berat. Hal ini diduga karena mikrovaskular pada anak yang lebih rentan terjadi kebocoran. Tingkat keparahan demam berdarah dengue dapat diklasifikasikan berdasarkan klasifikasi oleh World Health Organization (WHO) tahun 2011. Penelitian ini bertujuan untuk mengetahui hubungan antara leukopenia dengan tingkat keparahan DBD pada anak yang dirawat di RSUD Wangaya Denpasar. Penelitian ini bersifat observasional analitik menerapkan pendekatan cross-sectional mempergunakan data sekunder berupa catatan rekam medis pada bulan Januari-Agustus 2021 dari RSUD Wangaya Denpasar. Subjek diperoleh melalui metode consecutive sampling. Jumlah subjek yang memenuhi syarat inklusi serta eksklusi adalah 92 subjek. Adapun penelitian ini menggunakan analisis uji kai kuadarat (x2) dengan interval kepercayaan 95% dan tingkat kemaknaan 5%. Analisis data dilaksanakan dengan analisis univariat serta bivariat mempergunakan program Statistical Package for the Social Sciences for Windows. Temuan penelitian menyatakan, jumlah subjek yang mengalami DBD non syok yaitu sebanyak 68,5%. Angka ini lebih banyak dibandingkan dengan subjek yang mengalami DBD dengan syok yaitu sebanyak 31,5%. Rerata kadar leukosit pada subjek didapatkan masih dalam rentang normal yaitu 4.803 µL. Hasil uji kai kuadrat (x2) didapatkan p=0,092, menunjukkan tak ada korelasi antara leukopenia dengan tingkat keparahan demam berdarah dengue pada anak di RSUD Wangaya Denpasar.
The Influence of Power on Decisions Constitutional Court (MK) Concerning the Age Limit for Vice Presidential Candidates in 2023
Authors: Putra Azhari M. Hadi , Hendrik Doni , Suryani Nilma
Published: March 2024

There are so many irregularities in the Constitutional Court's decision Number 90/PUU-XXI/2023 regarding the age limit for presidential candidates. The author suspects that there is interference from the ruling elite who have an interest in maintaining the current power status quo. The analysis of this writing will be dissected using an understanding of elite theory and patterns White Collars Criminal. Jokowi and the current ruling elite group have an interest in remaining is within the scope of power. Meanwhile, regulations to continue being in power no longer provide space. Therefore, Jokowi and his group need to extend their hand in the circle of power in the future after he steps down, through legal manipulation so that his son can advance as a state official. Jokowi's efforts together with other elite groups behind this political attitude that is contrary to democratic values, is suspected to be an inevitability that can arise from those in power. The state government's grip on power, which has been going on for almost a decade, is starting to show that it is mentally and psychologically unprepared for its end. This pattern of efforts has led to a series of irregularities in political and legal events over the past year or so. In the end, it all boils down to Gibran's official step forward as vice presidential candidate. This article was written using a qualitative approach with descriptive analysis methods. The data collection technique used is literature study, which is related to theoretical studies and several references.
KEGIATAN LAKI-LAKI DI DAERAH ALIRAN SUNGAI (DAS) UNDA KABUPATEN KLUNGKUNG
Authors: Pidada Ida Bagus Astika , Mileh I Nengah , Sukiani Ni Ketut
Published: March 2024

Daerah Aliran Sungai (DAS) Unda tidak asing lagi untuk daerah Bali Timur khususnya untuk Kabupaten Klungkung. Masyarakat Klungkung menyebut sungai ini dengan nama Tukad Unda atau Yeh Unda. Daerah aliran sungai (DAS) Unda bersumber dari 7 (tujuh) buah sungai sehingga hampir tidak pernah kering sepanjang tahun. Sungai tersebut antara lain: (1) Sungai Telagawaja, (2) Sungai Barak, (3) Sungai Sah, (4) Sungai Mangening, (5) Sungai Masin, (6) Sungai Krekuk, dan (7) Sungai Bajing. Metode yang digunakan dalam penelitian ini adalah menerapkan metode kualitatif. Pengumpulan data diambil dengan pengumpulan data primer dan pengumpulan data sekunder. Kemudian, data tersebut direduksi, disajikan dan disimpulkan. Oleh karena itu, banyak orang melakukan kegiatan di sungai ini, khususnya untuk laki – laki. Kegiatan di sungai ini seperti: mencari mata pencaharian hidup berupa membuka usaha mencuci kendaraan, membuka usaha kerajinan batu dan beton, membuka usaha arum jeram serta restoran, juga galian c. Di samping itu, sungai ini juga dimanfaatkan oleh laki – laki untuk keperluan upacara agama serta kegiatan memancing untuk mencari kesenangan atau hiburan. Ini menandakan laki – laki di daerah aliran sungai (DAS) Unda juga berperan aktif membuka peluang – peluang yang ada untuk mengembangkan usahanya pada masa yang akan datang.
FAKTOR BLOCKING DALAM BAHASA INGGRIS
Authors: Ana I Wayan , Subur Made
Published: March 2024

Pembentukan kata adalah proses dinamis yang memberikan kontribusi signifikan terhadap perluasan kosa kata. Penelitian ini mengeksplorasi berbagai faktor yang menghambat pembentukan kata dalam bahasa Inggris. Penelitian ini menyelidiki unsur-unsur linguistik yang bertindak sebagai hambatan bagi pertumbuhan organik leksikon. Faktor linguistik mencakup kendala sintaksis, ketidakteraturan morfologi, dan kerumitan fonologis, yang menimbulkan tantangan terhadap penciptaan kata-kata baru dengan lancar. Selain itu, penelitian ini menyelidiki ambiguitas semantik yang menghambat penggambaran makna secara jelas, menghambat pembentukan istilah-istilah yang ringkas dan diterima secara universal. Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan data yang diambil dari berbagai sumber. Teori yang digunakan dalam penelitian ini adalah teori Aronoff. Berdasarkan hasil analisis ditemukan bahwa pemblokiran mengacu pada tidak diterimanya suatu bentuk kata baru bukan karena pelanggaran aturan pembentukan kata melainkan karena adanya bentuk lain yang lebih sederhana yang mendahuluinya atau sudah pernah digunakan. untuk arti yang berbeda. Ada dua jenis pemblokiran dalam bahasa Inggris yaitu type-blocking dan token-blocking. Pemblokiran tipe melibatkan persaingan proses morfologi reguler, sedangkan pemblokiran token adalah potensi pemblokiran bentuk reguler dengan kata-kata sinonim yang sudah ada. Ada tiga kondisi untuk pemblokiran token: sinonim, produktivitas, dan frekuensi. Faktor penyebab terhambatnya pembentukan kata baru dapat digolongkan menjadi empat kategori: fonologis, morfologis, semantik, dan estetika.
Loss-tolerant architecture for quantum computing with quantum emitters
Authors: Löbl Matthias C. , Paesani Stefano , Sørensen Anders S.
Published: March 2024

We develop an architecture for measurement-based quantum computing using photonic quantum emitters. The architecture exploits spin-photon entanglement as resource states and standard Bell measurements of photons for fusing them into a large spin-qubit cluster state. The scheme is tailored to emitters with limited memory capabilities since it only uses an initial non-adaptive (ballistic) fusion process to construct a fully percolated graph state of multiple emitters. By exploring various geometrical constructions for fusing entangled photons from deterministic emitters, we improve the photon loss tolerance significantly compared to similar all-photonic schemes.
El patrimonio cultural bajo contexto de “refundación nacional”: Una reseña a la obra de Luis Alegría Licuime
Authors: Guerin Boggle Brandom
Published: March 2024

Breve reseña que aborda los puntos cruciales de la obra Terror, consenso y monumento. Políticas de patrimonio cultural en las dictaduras de Chile y Uruguay (1973-1989), del académico Luis Alegría Licuime
ECTOMYCORRHIZAL MUSHROOMS DIVERSITY IN SORAYA RESEARCH STATION LEUSER ECOSYSTEM
Authors: Rahmadani Ayu , Rasnovi Saida , Ismail Yulia Sari
Published: March 2024

Ectomycorrhizal macro fungi have a mutualistic symbiosis with several plants, including those from the Dipterocarpaceae, Myrtaceae, and Fagaceae families. The existence of ectomycorrhizal macro fungi in nature is very important to preserve, therefore this study was conducted to determine the diversity of ectomycorrhizal macro fungi at Soraya Research Station. This study aims to determine the diversity of ectomycorrhizal macro fungi at the Soraya Research Stasiun Subulussalam, Leuser Ecosystem Area. The study was conducted from August 2021 to January 2022. The research method used is an exploratory survey, sampling using the squared method, using a permanent phenological plot of 20 plots measuring 20 m x 20 m, which are randomly placed in the secondary forest of the Soraya Research Station. The results obtained consisted of 5 orders, 14 families, 31 species, and 1440 individual numbers of ectomycorrhizal macro fungi. The most numerous species are obtained from the Boletaceae family, which is 5 species, and the Russulaceae family is 4 species. The ectomycorrhizal macro fungi species diversity index is relatively moderate at 2,997.
ANALYSIS OF STUDENTS' RESPONSES TO BIOLOGY TEACHING MATERIALS BASED ON AL QUR’AN VALUES
Authors: Eriawati Eriawati , Hanim Nafisah
Published: March 2024

Teaching materials are one of the important components in the learning process. Teaching materials must be in accordance with basic competencies in order to achieve learning objectives. This study aims to analyze the response of students at the MA / SMA level in Aceh Province to biology teaching materials based on Koranic values. this research uses an R&D design. teaching materials that will be given to students have passed the development phase and expert validation. The instrument used was a learner response questionnaire which was tested twice, on a small scale and large scale. Data analysis using the percentage response formula. The results showed that the response of MA / SMA level students in Lhoksumawe City, Pidie and Aceh Besar Aceh Province was very interested in biology teaching materials based on Quranic values. the results of the analysis obtained from the calculation of a small scale (30 students) obtained a response with an average value of 89.93 and a large scale (70 students) with an average value of 90.79.
ANALISIS STRUKTURAL DAN NILAI MORAL DALAM CERPEN â€œKEMBANG GUNUNG KAPURâ€ KARYA HASTA INDRIYANA
Authors: Sapdiani Ratih , Maesaroh Imas , Pirmansyah Pipin , Firmansyah Dida
Published: March 2024

This study aims to (1) describe the Interscience of the intrinsic elements of the short story "Kembang Gunung Kapur" by Hasta Indriyana using structural analysis methods, and (2) to describe the moral values contained in the short story, both religious moral and social criticism. The short story "Kembang Gunung Kapur" is examined through data collection steps; (1) to read the short story "Kembang Gunung Kapur" intensively, (2) analyze the integrity of the intrinsic elements of the short story and describe it, then (3) to analyze the moral elements that the author wishes to convey to the short story and to describe it. After going through the process of research structural analysis and moral values, seen effort Hasta Indriyana which combine the elements of the intrinsic short story well, so the message of moral value contained in the short story can reach the reader.
PENERAPAN MEDIA PEMBELAJARAN BERBASIS WEBSITE DINAMIS PADA PROSES PEMBELAJARAN MENULIS TEKS PUISI RAKYAT SISWA SMP KELAS VII
Authors: Wahyuni Wanti , Mustika Ika , Nurhayati Enung
Published: March 2024

Learning activities must use media that are in accordance with the character of students at the junior high school level, so that they can increase the enthusiasm of students to learn. The reality faced by junior high school students in state schools in Lembang is that students are less enthusiastic in paying attention to the material presented by the teacher. This is due to the absence of the use of images and the delivery of the dominant material using the script. This study intends to explain the impact of the application of dynamic website-based learning media on the material for writing folk poetry in seventh grade junior high school. Qualitative descriptive is the method and approach used in this research. In February 2022 this research was conducted. The data obtained in this research came from questionnaires, quizzes, and observation sheets. The output based on this research tells that, by using dynamic website media that emphasizes the principle of flexibility, it can increase the value and creativity of students in writing folk poetry texts. in writing people's poetry.
PEMBELAJARAN MENULIS TEKS CERITA PENDEK DENGAN MENGGUNAKAN METODE INKUIRI BERBANTUAN MEDIA GAMBAR PADA SISWA KELAS XI SMA PLUS TAUHIDUL AFKAR CIANJUR
Authors: Rostiawan Resi Nopsrianti , Sudrajat Rochmat Tri , F. Yusef Ahmad
Published: March 2024

This study aims, 1) how the scenario and implementation of learning to write short story texts using the inquiry method assisted by image media in class XI IPA SMA Plus Tauhidul Afkar, 2) how teachers and students respond to learning to write short story texts using assisted inquiry method image media? 3) What are the difficulties experienced by class XI students of SMA Plus Tauhidul Afkar in completing short story writing tasks? Researchers for their awareness use descriptive methods. The data collection techniques are observation, documentary, interview, test, and questionnaire. Data collection was carried out by researchers, namely observation guideline sheets, recording devices, interview guideline sheets, test sheets, student activity observation sheets, and questionnaire sheets. Based on the results of data analysis on the implementation, it can be concluded that the planning and implementation of inquiry learning in writing short stories in class XI IPA for SMA Plus Tauhidul Afkar students are synchronized with the 2013 curriculum. The results obtained by students on learning to write short stories using the inquiry method are successful and can increase creativity.
Recombinant antibody-producing stable CHOK1 pool stability study
Authors: Tu Bailin , Lin Zhihong , Moore Jeff , Sekaran Archana , Wesley Miranda , Mao De Yu , Gibson Mark , Lai Wan-Ching , Boggs John , Slowik Thomas , Perez-Gelvez Yeni Natalia , Bonn Ryan , Rae Tracey , Minshull Jeremy , Boldog Ferenc , Sitaraman Varsha , Muerhoff Scott , Hemken Philip
Published: March 2024

Mammalian cell line stability is an important consideration when
establishing a biologics manufacturing process in the biopharmaceutical
and in vitro diagnostics (IVD) industries. Traditional CHO cell line
development methods use a random integration approach that requires
transfection, selection, optional amplification, screenings, and
single-cell cloning to select clones with acceptable productivity,
product quality, and genetic stability. Site-specific integration
reduces these disadvantages, and new technologies have been developed to
mitigate risks associated with genetic instability. In this study, we
applied the Leap-In® transposase-mediated expression system from ATUM to
generate stable CHOK1 pools for the production of four recombinant
antibody reagents for IVD immunoassays. CHO cell line stability is
defined by consistent antibody production over time. Three of the CHOK1
pools maintained productivity suitable for manufacturing, with high
antibody yields. The productivity of the remaining CHOK1 pool decreased
over time; however, derivative clones showed acceptable stability.
L-glutamine had variable effects on CHOK1 cell line or stable pool
stability and significantly affected antibody product titer. Compared
with traditional random integration methods, the ATUM Leap-In system can
reduce the time needed to develop new immunoassays by using semi-site
specific integration to generate high yield stable pools that meet
manufacturing stability requirements.