bluuebunny/crossref_metadata_2025 huggingface dataset:
Pan-cancer analysis identifies AL365181.3 as a novel prognostic biomarker for lung adenocarcinoma
Authors: Liu Xiaoying , Liu Jinlong , Zeng Yingou , Qiao Di , Wang Qiang
Published: March 2024

As a lncRNA, AL365181.3 is aberrantly expressed in multiple cancer types, including lung adenocarcinoma (LUAD). However, the biological process underlying the ability of AL365181.3 to promote the progression of LUAD is unclear. Here, the pancancer expression level of AL365181.3 was analyzed using the TCGA and GTEx databases, as well as its clinical characteristics and prognostic value. Finally, the in vitro and in vivo biological functions of AL365181.3 in LUAD were revealed by using various functional assays. We found that AL365181.3 was significantly more highly expressed in many types of cancer tissues, including LUAD tissues, than in adjacent normal tissues. LUAD patients with high AL365181.3 expression had poor prognoses. Functional enrichment analyses indicated that AL365181.3 is involved in the regulation of metabolism, MAPK signaling and other tumor regulatory signaling pathways.Finally, we found that knockdown of AL365181.3 reduced the proliferation and migratory capacity of LUAD cells, and knockdown of AL365181.3 resulted in a reduced in vivo tumorigenic capacity of LUAD cells. These findings provide a comprehensive understanding of the role of AL365181.3 in LUAD.
CausNet-partial : `Partial Generational Orderings' based search for optimal sparse Bayesian networks via dynamic programming with parent set constraints
Authors: Sharma Nand , Millstein Joshua
Published: March 2024

Background: In our recent work, we developed a novel dynamic programming algorithm to find optimal Bayesian networks (BNs) with parent set constraints. This ‘generational orderings’ based dynamic programming search algorithm - CausNet - efficiently searches the space of possible BNs given the possible parent sets. The algorithm supports both continuous and categorical data, as well as continuous, binary and survival outcomes. In the present work, we develop a variant of CausNet - CausNet-partial - which searches the space of ‘partial generational orderings’, which further reduces the search space and is suited for finding smaller sparse optimal Bayesian networks; and can be applied to 1000s of variables.
Results: We test this method both on synthetic and real data. Our algorithm performs better than three state-of-art algorithms that are currently used extensively to find optimal BNs. We apply it to simulated continuous data and also to a benchmark discrete Bayesian network ALARM, a Bayesian network designed to provide an alarm message system for patient monitoring. We first apply the original CausNet and then CausNet-partial varying the partial order from 5 to 2. CausNet-partial discovers small sparse networks with drastically reduced runtime as expected from theory.
Conclusions: Our partial generational orderings based search for small optimal networks, is both an efficient and highly scalable approach for finding optimal sparse and small Bayesian Networks and can be applied to 1000s of variables. Using specifiable parameters - correlation, FDR cutoffs, in-degree, and partial order - one can increase or decrease the number of nodes and density of the networks. Availability of two scoring option - BIC and Bge - and implementation for survival outcomes and mixed data types makes our algorithm very suitable for many types of high dimensional data in a variety of fields.
KNOWLEDGE ATTITUDE AND AWARENESS REGARDING CONSUMPTION OF SWEETS AND CAFFEINE UNDER STRESS AMONG UNDERGRADUATE DENTAL STUDENTS
Authors:   Student(BDS),DepartmentofPublicHealthDentistry,MamataDental College,Khammam,India., Tirunagari Chandana , Pratap K.V.N.R. ,   ProfessorandHOD,DepartmentofPublicHealthDentistry,MamataDental College, Khammam, India., Madhavi Padma T. ,   Professor,DepartmentofPublicHealthDentistry,MamataDentalCollege, Khammam,India., Siva Kalyan V. ,   Reader,DepartmentofPublicHealthDentistry,MamataDentalCollege, Khammam,India., Srujan Kumar V. ,   SeniorLecturer,DepartmentofPublicHealthDentistry,MamataDental College, Khammam,India.
Published: March 2024

Background: Undergraduate dental students are a high-stress population, and many turn to sweets and caffeine to cope. However, excessive consumption of these substances can have negative health consequences. This study aimed to assesstheknowledge,attitude,andawarenessregardingconsumptionofsweets and caffeine under stress among undergraduate dental students between 17 to 26 years of age in Khammam. A cross-sectional study was conducted among undergraduate dental students at Mamata dental college. Aim: Knowledge Attitude and Awareness Regarding Consumption of Sweets and Caffeine Under Stress Among Undergraduate Dental Students. Objective: Analyzing and determining the Knowledge Attitude and Awareness Regarding Consumption of Sweets and Caffeine Under Stress Among Undergraduate Dental Students. Method: Across sectional study was conducted among the dental students(I,II, III, IV, interns) in tertiary care teaching hospital, Khammam, using a web-based tool called forms pro, a semi-structural online questionnaire was designed and distributed to the students in order to fill. Descriptive statistics were calculated using SPSS verson-29. A p- value <0.05 was used to evaluate statistical significance. Result:Atotalof203studentstookpartwithfemales(70.9%) and males(29.1%). Age of participants ranges from 17-26 years. In this study female students have more knowledge and awareness regarding Consumption of Sweets and Caffeine Under Stress compared to males. Among all the students III-BDS have more knowledge, followed by Interns, II-BDS,IV-BDS and I-BDS. Conclusion:Thestudyresultsuggeststhatknowledgeandawarenesslevelof Consumption of Sweets and Caffeine Under Stress is adequate.
POST-OPERATIVE REHABILITATION OF A RIGHT SIDED TOTAL KNEE ARTHROPLASTY PATIENT- A CASE REPORT
Authors: Somaya P.T , MPT , DPT Madalsa
Published: March 2024

Background and purpose:Osteoarthritis(OA) is a progressive degenerative condition resulting from the cartilage wear and tear that leads to knee joint deformities and functional limitations. Total knee arthroplasty (TKA) has become the gold standard treatment for surgically managing knee osteoarthritis, but physical rehabilitation after surgery is critical for returning function to pre-surgery levels. The purpose of this case report is to describe the effectiveness of physical therapy intervention and report outcomes following a right TKA. Case Description:The present case report describes the 12-week outpatient physical therapy rehabilitation of an 86-year-old woman who underwent right-sided TKA. She suffered from knee pain and limited ambulating speed since three years. During outpatient rehabilitation patient received treatment for improving functional mobility, ROM, strength, and gait training. Outcomes:During course of 12 weeks of physical therapy rehabilitation improvement was seen in pain from 2/10 to 0/10 on NPRS, flexion ROM from 110degrees to 130 and strength from 3-/5 to 4/5 on MMT. Additional outcome measures that showed improvement includes Time Up and Go Test (TUG) for mobility from 16.5 to 14.97 seconds and gait speed 0.6 m/s to 0.78 m/s. She was able to accomplish both short-term and long-term goals. Discussion:This study supports that early mobilization and therapeutic exercises in post knee arthroplasty can improve functional outcomes and help patient to return to the prior level of function. Although, it is recommended that further research is needed to be done on a larger population to establish its effectiveness.
ATRICHIA WITH PAPULAR LESIONS : A CASE REPORT
Authors:   Final Year Postgraduate, Department of DVL, Narayana Medical College, Nellore 524003., Pradeep Pannati , Shaik Shabana ,   Assistant Professor, Department of DVL, Narayana Medical College, Nellore 524003., Vijaya Mohan Rao A. ,   Professor and Head of Department, Department of DVL, Narayana Medical College, Nellore 524003.
Published: March 2024

Atrichia with papular lesions is a rare Autosomal recessive disorder characterized clinically by complete and irreversible hair loss shortly after birth, and is associated with the development of keratinfilled cysts all over the body. We present a 10 year old girl with extensive alopecia and papular lesions over scalp,upper limbs,lower limbs, abdomen and back . A clinical diagnosis of Atrichia with papular lesions was made after excluding Vit D dependent Rickets. An accurate diagnosis is important to prevent unnecessary treatment of APL with systemic steroids when misdiagnosed as alopecia universalis.
A STUDY OF COMMERCIAL REAL ESTATE DEVELOPMENT IN BIHAR
Authors:   Research Scholar, Institute of Management & Commerce, NIMS University, Jaipur., Kunal Kishor , Choudhary Anita ,   Assistant Professor, Institute of Management & Commerce, NIMS University, Jaipur.
Published: March 2024

Commercial real estate has emerged as a key driver of economic growth and urban development in India. However, most development has concentrated in major metros while Tier-2/3 cities offer huge untapped potential. Bihar is one such state witnessing early stage growth in commercial real estate. This study utilizes primary data from developer/investor interviews and secondary data from industry reports. Quantitative and qualitative analyses were conducted to assess historical trends, current status, growth drivers, challenges, and future outlook. The analysis indicates that office and retail sectors are witnessing maximum growth, driven by factors like increasing demand from IT/ITeS, organized retail, and e-commerce companies. However, challenges like nascent stage of development, infrastructure gaps, lack of financing, land acquisitions, and talent availability need to be addressed. The study provides an in-depth understanding of commercial real estate in Bihar. While immense potential exists, concerted efforts on infrastructure improvement, policy reforms, and private participation are vital to realize the full promise. Targeted recommendations are provided for stakeholders to chart the future growth trajectory.
ADVANCING HEALTHCARE THROUGH CORPORATE SOCIAL RESPONSIBILITY: A CASE STUDY IN COIMBATORE DISTRICT
Authors:   Ph.D. Research Scholar, Department of Business Administration, Nehru Arts and Science College. (Affiliated to Bharathiyar University) Thirumalayampalayam, Coimbatore, Tamil Nadu, India.Pin-641105., S. Deepa , Shani N. ,   Research Supervisor, Department of Business Administration, Nehru Arts and Science College. (Affiliated to Bharathiyar University) Thirumalayampalayam, Coimbatore.
Published: March 2024

The concept of Corporate Social Responsibility (CSR) has expanded from traditional profit-focused models to include an organizations wider commitment to make beneficial contributions to the environment and society. This study examines the use of corporate social responsibility (CSR) in the healthcare sector in Tamil Nadu, highlighting the importance of companies operating in this field coordinating their operations with social, economic, and environmental concerns. The study explores the different initiatives and activities that healthcare organisations take on to support community development and well-being. The three main pillars that underpin the healthcare sectors CSR initiatives in Tamil Nadu are increasing access to medical facilities, raising public awareness of health issues, and funding healthcare-related projects. Through an analysis of case studies and contemporary practices, this study elucidates the diverse strategies utilised by healthcare organisations in the area to discharge their social obligations. These programmes support the communitys overall sustainable development in addition to addressing pressing health issues.
The mediating effect of accrual earnings management on the relationship between ownership structure and firm value: Evidence from Jordan
Authors: Al-Shouha Laith , Khasawneh Ohoud , Nur Syahida Wan Ismail Wan , Mohd Norfadzilah Nik Mohd Rashid Nik
Published: March 2024

Firm value is considered a primary and essential driver for investors when making investment decisions, so they are interested in the quality of the financial data in companies’ annual reports related to firm value in an attempt by the owners to improve the company’s image and raise its value. Therefore, this study examined the relationship between ownership structure and firm value through the mediating role of accrual earnings management. Panel data were extracted from the financial reports of 88 non-financial companies listed on the Amman Stock Exchange for 11 years (2009–2019). The Barron and Kenny, Sobel, and other test approaches were applied to investigate the mediation effect and mediating relationships. The outcomes identified a positive impact of managerial ownership on firm value and a positive impact of foreign ownership on firm value. Also, it showed a negative impact of managerial ownership and foreign ownership on accrual earnings management, while accrual earnings management positively impacted firm value. Regarding mediating relationships, the results identified a mediating effect of accrual earnings management on the relationship between managerial ownership and firm value and a mediating effect of accrual earnings management on the relationship between foreign ownership and firm value. However, accrual earnings management does not mediate the relationship between family ownership and firm value. This shows the importance of reducing accrual earnings management through the identities of investors (managerial and foreign), which helps increase control and improve the value of a company.
Nanosecond Laser Flash Photolysis Study of the Photochemistry of 2‑Alkoxy Thioxanthones
Authors: Rodrigues Janaina , Silva Francisco , Netto-Ferreira José
Published: March 2024

Laser flash photolysis studies (l = 355 nm) on the characterization and reactivity for the triplet excited state of 2-methoxythioxanthone, 2-benzyloxythioxanthone, and 2-(n-propoxy) thioxanthone revealed that the transients generated in their excitation, in acetonitrile, have absorption bands with maxima at 310 and 620 nm. These transients decayed by a mixed 1st and 2nd order kinetics, with a lifetime of 5.3 ms for 2-methoxythioxanthone and benzyloxythioxanthone and 3.9 ms for 2-(n-propoxy) thioxanthone. In methanol, ethanol, and 2-propanol, a new absorption at 430-460 nm was observed, which was attributed to their corresponding ketyl radical (the second-order quenching rate constant (kq) is ca. 105 L mol-1 s-1). The energy transfer rate constants for trans-stilbene, 1-methylnaphthalene, and 1,3-cyclohexadiene were diffusion-controlled, indicating a triplet energy for these alkoxy thioxanthones higher than 61 kcal mol-1. The quenching rate constant observed for 1,4-cyclohexadiene (ca.109 L mol-1 s-1) suggests that the lowest energy triplet excited state for these thioxanthones must have nπ* character. For phenols and indole (kq ca. 109 L mol-1 s-1), the reaction mechanism must involve the initial formation of a triplet exciplex, followed by a coupled electron/proton transfer. For triethylamine and 1,4-diazabicyclo[2.2.2]octane (kq ca. 109 L mol-1 s-1) it was observed the formation of the radical anion of the alkoxy thioxanthones formed from electron transfer (l = 410 nm).
Analysis and Performance Evaluation of Routing Protocols using Sink Mobility in IoT-enabled Wireless Sensor Networks
Authors: Singh Samayveer , Malik Aruna
Published: March 2024

The effect of sink mobility on the improved dual-hop routing protocol
(IDHR) and multiple data sink-based energy-efficient cluster-based routing protocol
(MEEC) is taken into consideration. Sink mobility can be introduced into the network
to prevent the creation of hotspots. The data sinks receive data from cluster heads
which further collect data from the member nodes of the respective clusters. The
cluster head (CH) performs data aggregation and sends the orchestrated data to the
sink. The CH selection in IDHR and MEEC is done by taking into account the node
density parameter along with other parameters, such as energy and distance between
the node and the sink. In MEEC, multiple data sinks are used to resolve the burden on
the relaying nodes involved in data transmission as well as to curb the hotspot problem.
The movement of sinks is controlled and managed through the proposed approach, i.e.,
Sink Mobility based on CH Energy (SMCHE). The node density factor proves to be
good for the energy preservation of nodes as it takes into account the average
communication distance between the nodes and respective CH. The simulation results
show that the network lifetime of the proposed approach is increased by 268%, 191%,
27%, and 17% when compared to MEEC, IDHR, DRESEP and TSEP, respectively.
Role of Federated Learning in Healthcare: A Review
Authors: Rani Geeta , Oza Meet , Patel Heta , Singh Dhaka Vijaypal , Hans Sushma
Published: March 2024

In the modern era, there is a boom in automating medical diagnosis by
adopting emerging technologies and advanced applications of artificial intelligence.
These technologies require a huge amount of data for training the models and precisely
predicting the disease or disorder. Multiple organizations can contribute data for such
systems but maintaining data privacy while sharing the data is a major challenge. Also,
provisioning a large data corpus for the performance improvement of machine learning
and deep learning models in the healthcare domain while keeping the patient’s medical
confidentiality intact is a point of concern. Thus, there is a strong need to preserve the
privacy of medical data. This calls for the use of up-to-the-minute technologies where
the necessity of sharing raw data is completely eradicated, while each organization
receives a catered infrastructure for processing data. A cross-silo federated learning
model is based on the concept of decentralized data weights collection from multiple
clients which are then processed on the central server for modeling and aggregation,
thus maintaining data privacy in its true sense. The authors in this manuscript provide a
detailed comparative study of the different deep learning-based models in federated
learning and how efficiently they can classify lung X-Ray images into three classes:
Covid-19, Pneumonia, and Normal. This study can provide a benchmark for the
researchers looking forward to deep learning-based model applications of cross-silo
federated learning in healthcare.
Role of Machine Learning and Deep Learning Techniques in Detection of Disease Severity: A Survey
Authors: Rani Geeta , Singh Dhaka Vijaypal , Hans Sushma
Published: March 2024

The increasing number of health issues is a cause of concern for public as
well as health services across the globe. However, a boom in the use of imaging
techniques such as CT scans and chest radiographs has been observed for correct
diagnosis. But, manual scanning of these modalities requires expertise in modality
reading. It is also a time-consuming task. Artificial intelligence-based techniques have
proven their potential in pattern recognition, object identification, and data analysis.
Therefore, these techniques can be used to provide assisting tools for the primary
screening of diseases from these modalities. It has been observed from the literature
that a lot of research works are available on disease diagnosis and classification using
machine learning, and deep learning. But, the disease severity detection is
underexplored. Moreover, the techniques employed for the detection of the severity of
diseases have lacunae that need immediate attention. These challenges motivated us to
review the machine learning and deep learning-based technological solutions proposed
in the literature for the detection of disease severity. The objective of this research is to
present a comprehensive survey of research works available about disease severity
detection. This research also presents a comparative analysis of the machine learning
techniques and deep learning techniques employed, datasets used, and performance
achieved. It also highlights the drawbacks of the technological solution proposed.
Further, it provides the directions for future scope in the domain of disease severity
detection.
Applying Deep Learning and Computer Vision for Early Diagnosis of Eye Diseases
Authors: Dubey Shradha , Dixit Manish
Published: March 2024

Medical image processing has a significant role in clinical investigation and
recent medical research. An appropriate image-based medical assessment helps to
analyze or detect critical diseases early, as it has a high value of medical information.
In this study, medical imaging is reviewed for the diagnosis of eye diseases using
computational intelligence. However, the identification of these diseases using
traditional image processing is quite complicated. Nowadays, various machine learning
and deep learning approaches are developed for the detection of different eye diseases
which are helpful for the detection of the diseases at an early stage. Research showed
that eye disorders are more serious in emerging or underdeveloped nations due to
inadequate healthcare facilities and skilled health workers. An estimate of 45 million
people around the world are blind and the tragic fact is that only 75% of these cases are
curable. Moreover, the doctor-patient ratio around the globe is about 1: 10,000.
Therefore, it takes an hour to create a screening system for the identification of these
illnesses. Ophthalmology is close to making breakthroughs in evaluating, diagnosing,
and treating eye diseases. Additionally, many eye and vision problems show no
obvious signs. As a consequence, people are often unaware that problems exist. Early
detection of diseases is a primary concern as they could be easily cured before leading
to severity. This research paper focuses on detecting eye illnesses, such as Diabetic
retinopathy, Diabetic Macular Edema, Glaucoma, Age macular Degeneration, Retinal
Vascular Occlusions, and Retinal Detachment. The authors explore various algorithms,
imaging modalities, and challenges in this context. The study aims to raise awareness
about eye disorders leading to blindness using computer vision, image processing, and
deep learning techniques. It also investigates how these machine learning and deep
learning approaches can aid in early disease diagnoses for effective treatment before
vision loss occurs.
A New Perspective to Evaluate Machine Learning Algorithms for Predicting Employee Performance
Authors: R.S. Dhivya , P. Sujatha
Published: March 2024

Performance prediction is the forecast of future performance conditions
based on past and present information. Forecasts can be made about companies,
departments, systems, processes, and employees. This study focuses on assessing
employee performance in terms of employee behavior, work, and growth potential.
Organizations benefit when their employees perform well. Therefore, predicting
employee performance plays an important role in a growing organization. To this end,
we propose three machine learning algorithms: a support vector machine, a decision
tree (j48), and a naive Bayes classifier. These can predict employee behavior in the
workplace. Comparing the results, the Naive Bayes algorithm shows better results than
the other two algorithms on the basis of metrics such as timeliness, error loss, and
accuracy.
Machine Learning For Traffic Sign Recognition
Authors: Lathamaheswari U. , Jebathagam J.
Published: March 2024

The recently developed technology in autos makes traffic signal prediction
devices obligatory. It teaches users how to drive safely and manoeuvre their vehicles
effectively. Due to drivers' various forms of attention, the number of accidents is rising
alarmingly nowadays. The danger of distracted driving, which causes accidents, is
decreased thanks to this technology, which also assists in identifying and providing
information based on data. The notion of machine learning is presented, and the
concepts of supervised learning, unsupervised learning, and reinforcement learning are
covered under the heading of categorization and serve as the main principle. Linear
regression, neural networks, naive Bayes, random forests, support vector machines,
clustering, etc. are some types of models that machine learning may give. This study
describes how to train a model using machine learning, with the basic principle being
to divide the data into training, testing, and validation. The last section of this chapter
discusses how to access machine learning methods to improve the quality of a machine
learning project. The suggested approach provides an explanation of the combined
model of the modern convolutional neural network (CNN) and the classic support
vector machine (SVM) for traffic sign identification. Essentially, a CNN model was
trained to produce this model. Several CNN model designs, including LeNet, AlexNet,
and ResNet-50, may be used here. The subsequent layers of CNN's output may be
utilised as features. These characteristics were added to SVM for categorization
purposes.
Radiographic anatomical description of the skeletal system of adult and subadult axolotls (Ambystoma mexicanum): a pilot study
Authors: François C. , Paillusseau C. , Schilliger L. , Eberlé O.
Published: March 2024

In this study, the use of radiographic imaging to examine the skeletal structures of living axolotls (Ambystoma mexicanum) is described. Dorsoventral and left lateral radiographs were taken of both healthy adult and subadult axolotls without restraint, directly on the X-ray table. The aim was to comprehensively describe their skeletal anatomy using radiographic assessment. The method accurately depicted bone shapes and structures, identifying bone names based on comparisons with similar salamanders. However, internal organs within the coelomic cavity were not clearly visible except for the lungs. Interpreting subadult axolotl radiographs was harder, likely due to less developed skeletal ossification or X-ray parameter variations. Variations were observed in the number of certain bones and vertebrae types among individuals. This method offers a non-invasive way to understand healthy animal skeletal appearance, eliminating the need for autopsies. The radiographic approach contributes to better understand axolotl skeletal morphology, benefiting comparative anatomy, veterinary medicine and conservation efforts.
De kat werd gevreesd, mishandeld, amper geduld, maar blijft baas
Authors: Devriese L.
Published: March 2024

De kat is tegenwoordig het meest algemeen verspreide huisdier geworden in onze streken. In dit artikel worden aan de hand van Gentse voorbeelden enkele aspecten belicht van wat daaraan voorafging. Katten werden in onze huizen en op onze hoeven honderden jaren lang enkel geduld als muizenvangers en om ratten af te schrikken. Deze korte beschrijving vangt aan met een zeldzaam voorbeeld van in de archieven gedocumenteerde zeventiende-eeuwse katten, gehouden als muizenvangers in het officiële Gentse pandjeshuis, waarvoor jaarlijks een kleine vergoeding betaald werd. Als voedselbron voor arme lieden kwamen katten enkel in aanmerking bij hongersnood, vooral in oorlogstijd. Ook als ‘leveranciers’ van zachte velletjes werden ze geapprecieerd, maar dat was bijkomstig. Katten werden vooral gevreesd. Heel bekend is hun associatie met heksen. Een voorval op het terrein van een gewezen Gents kerkhof illustreert hoe deze diertjes nog in de negentiende eeuw geassocieerd werden met onheil, onafhankelijk van heksenwaan. Kwajongens speelden er gruwelijke spelletjes mee en hun vaders trokken soms op ‘kattenjacht’ op niet bepaald diervriendelijke wijze, gruwelijk zelfs. Het is vooral te danken aan de introductie van de ‘kattenbak’ dat deze fraaie dieren erin slaagden onze huiskamers te veroveren. Een laatste onderdeel van deze tekst gaat over het karakter van katten als solitaire roofdieren en de moeilijkheden en misverstanden die dat meebrengt in verband met het houden van katten op beperkte ruimten of in groepjes. Katten werden accuraat beschreven als de minst getemde en tegelijk de meest succesvolle gedomesticeerde diersoort, innerlijk het minst en in levensomstandigheden het meest veranderd.
ANALISIS BUTIR DENGAN TEORI TES KLASIK DAN TEORI RESPONS BUTIR
Authors: Mardapi Djemari
Published: March 2024

Abstrak Tujuan penelitian ini adalah untuk mengungkapkan tingkat konsistensi hasil analisis butir tes, estimasi kehandalan tes, dan estimasi kemampuan antara teori klasik dan teori respons butir. Populasi penelitian ini adalah sekkor tes kuasa (power test) sedanngcuplikannya adalah sekor hasil tes potensi belajar mahasiswa baru FPTK IKIP Yogyakarta angkatan 1992. Tes potensi belajar ini dirancang untuk seleksi masuk ke perguruan tinggi yang dikemabangkan oleh Pusat Pengembangan Sistem Pengujian Balitbang Depdikbud. Teknik analisis data yang digunakan adalah paket program MicroCat. Kesimpulan penelitian ini adalah: 1) jumplah   butir yang ditolak menutur teori tes klasik lebih banyak disbanding menurut teori respon butir 2) indeks konsistensi hasil analisi butir adalah rendah 3) terdapat hubungan yang tinggi antara hasil estimasi kemampuan pada kedua teori tersebut yaitu, 0,99 dan 0,98 untuk perangkat 1 dan perangkat 2, 4)indeks kehandalan tes menurut teori tes klasik dan teori respons butir sama-sama tinggi, dilihat dari besarnya kesalahan baku pengukuran. Selanjutnya disarankan agar para pengembang test untuk tinngkat regional mencoba menggunakan teori trespons butir dalam mengembangkan tes, dan perlu penelitian yang sejenis dengan data yang berbeda dan dengan paket program  yang baru.
KEMAMPUAN PROFESIONAL LULUSAN TATA BUSANA FPTK IKIP YOGYAKARTA
Authors: Wening Sri
Published: March 2024

Abstrak Penelitian ini bertujuan untuk memperoleh gambaran tentang jennies jenis bidang pekerjaan yang sudah dimasuki oleh lulusan program studi tata busana di Industri busana, kualitas tenaga kerja lulusan program studi tata busana setra jenis jenis kemampuan kejuruan yang masih diperlukan dalam mendukung kelancaran pekerjaannya di industry busana. Populasi dalam penelitian ini adalah para lulusan program studi tata busana mulai lulusan tahun 1990 sampai 1996 yang bekerja di iindustri busana di Yogyakarta, sebanyak 19 orang, sedang sample diambil secara secara snow ball. Perolehan data dianalisi secar deskriptif. Hasil penelitian menunjukan bahwa jenis jenis bidang pekejaan yang usdah dimasuki oleh para lulusan di Industri busana yaitu bagian sample, supervise produksi/ penjahitan, supervise sanggan, supervise pengadaan materi, design pola dan potong dansebagai manager. Kualitas lulusan yang bekerja di bagian sample di industry garmen tingkat pengetahuan dan managemen baik, ketrampilan kerja, tanggung jawab, etos kerja dan prestasi kerja baik sekali. Kualitas lulusan sebagai manager dan pemilik modiste tingkat pengetahuan dan managemen, ketrampilan managemen baik serta tanggung jawab kerja, etos kerja, prestasi kerja baik sekali. Kualitas lulusan di bagian sample usaha modiste tingkat pengetahuan, ketrampilan, etos kerja, prestasi kerja baik dan pengetahuan tanggung jawab kerja baik sekali. Kualitas lulusan dibagian design, pola dan potong tingkat ketrampilan, etos kerja, prestasi kerja baik dan pengetahuan, tanggung jawab baik sekali. Kualitas lulusan di bagian supervisi produksi / jahitan usaha modeiste tingkat pengetahuan, etos kerja baik dan managemen , ketrampilan dan tanggung jawab, prestasi kerja baik sekali. Kualitas lulusan dibagian supervise sanggan usaha modeiste tingkat pengetahuan, etos kerja baik dan managemen ketrampilan dan tanggung jawab, prestasi kerja baik sekali. Kemampuan kejuruan yang masi diperlukan para lulusan untuk mendukung kelancaran pekerjaan adalah konstruksi pola praktis standar luar negeri,penggunaan mesin computer dan mesin produski serta pembuatan lengan jas dan celana panjang.
MODEL KETERAMPILAN MEMBACA ANAK TUNARUNGU MELALUI MODIFIKASI PENDEKATAN KETERAMPILAN DASAR
Authors: SUPARNO SUPARNO
Published: March 2024

Abstract The purpose of this action research was to increase the reading skill of the deaf children by modifying model of basic skill approach in the teaching-learning process. This study also aimed to explore the teaching-learning procedure of the reading skill of the deaf children for improving purposes. The population of this study was all students of the State Special School of the Deaf (SLB-B) in Yogyakarta. Tha cation research was conducted through the teaching-learning process of the reading skill in the classroom for 42 deaf children. The study was carried out in two cycles consisting of five learning sessions. The steps were reconnisance, planning, and combination of implementation and observation and finally reflection. The treatment was modifying the reading teaching –learning process, were conducted by the classroom teachers in collaboration with the researcher. Data were collected by administering the achievement test and analyzed by qualitative and quantitative methods. The results of this study show that (1) the action improved students reading skill, (2) modification model of basic skill approach is more effective in increasing reading skill of the deaf children than regular model,(3) this model is feasible for teaching the deaf children. Keywords: the deaf children, reading skill
IMPLEMENTASI ADKAR APPROACH DALAM PENGELOLAAN LIFESKILLS DI PROVINSI DIY
Authors: Tohani Entoh
Published: March 2024

Management of life skills education programs were intended to give benefits for target groups. Attainment of the benefits of the programs depended on how much participation was realized by the target groups. The present study was aimed at providing information as input for developing the quality of the program. The study was qualitative research involving the programs in Yogyakarta Special Province. The results of study showed that of the eight of the programs analyzed, the mayority of the students were aware of the benefits of the programs, move toward involvement, have both intrinsic or extrinsic motivation, have knowedges mainly in the main competencies, and implement the output of trainning on the field of self-efforts or work with others. The implementation of the ADKAR approch was characterized by two traits, namely: human aspects and non-human aspects. So, as conclusion of the study, it was necessary to implement the ADKAR approach continuously for each stage of the management of the life skills education programs.
PENGUASAAN KETERAMPILAN KONSELING GURU PEMBIMBING DI YOGYAKARTA
Authors: Kusmaryani Rosita Endang
Published: March 2024

The purpose of this multi-year study is to identify the mastery of counseling skills of guidance teachers in Yogyakarta. A proportional sample of 33 junior high, senior high and vocational school guidance teachers in Yogyakarta participate in the study as research subjects. The research data are collected using a questionnaire instrument of counseling skills mastery and analyzed by quantitative and qualitative descriptive techniques. The results show that: 1) There are some counseling skills that are often used, but have not been mastered well. Some of these skills of counseling are attending, asking questions, giving support, clarifying, problem solving, focusing, and giving encouragement. 2) Most of the guidance teachers have not used these skills optimally in the counseling process. The suggestion of this study is to improve the mastery of the guidance teachers counseling skills through training, either through role playing or through practicing directly in handling cases. Teaching materials such as modules that assess counseling skills are needed. In addition, the schools need to provide support for guidance teachers to develop their performance by following the training to improve their mastery of counseling skills
The use of besmart to improve students’ self-discipline in community economy course
Authors: Baroroh Kiromim , Prilanita Yeni Nur , Nurseto Tejo , Jannah Nita Maghfiratul
Published: March 2024

The use of e-learning applications in learning needs to consider the potential for improving students’ character. This classroom action research was aimed at investigating the use of Besmart e-learning in improving the students’ self-discipline in the Community Economy course. The participants of this research were 108 students majoring in Management at the Faculty of Economics, Universitas Negeri Yogyakarta. This study was based on the model by Kemmis and McTaggart, which comprises steps of planning, implementing/acting, observing and evaluating, analyzing, and reflecting. This study was classroom action research. The data were collected in two cycles of the model through questionnaires, observations, interviews, and system monitoring. This study employed triangulation techniques of data source and method to ensure the data validity. The findings show that using e-learning can improve the students’ self-discipline. The students’ self-discipline was reflected in self-learning materials, participation in the discussion forums, and submitting the assignments. Besmart is not only a learning medium but can also increase student self-discipline and participation in learning. The success factor in this research is not only the learning media but also the skills of lecturers and students to optimize the use of this media.
Pengembangan perangkat pembelajaran matematika dengan PMRI untuk meningkatkan kemampuan pemecahan masalah dan komunikasi matematika
Authors: Suryaningtyas Caecilia Peni
Published: March 2024

Penelitian ini bertujuan untuk menghasilkan perangkat pembelajaran matematika dengan pendekatan PMRI yang valid, praktis, dan efektif  untuk meningkatkan kemampuan pemecahan masalah dan komunikasi matematika. Penelitian ini adalah penelitian pengembangan dengan model 4-D dari Thiagarajan. Model ini terdiri dari empat tahapan pengembangan yaitu define (pendefenisian), design (desain), development (pengembangan) dan disseminate (penyebaran).  Pengembangan perangkat dimulai dari tahap analisis awal-akhir, analisis siswa, analisis materi dan spesifikasi tujuan pembelajaran, pemilihan media, pemilihan format, desain produk, uji ahli dan praktisi, uji coba terbatas, serta uji coba lapangan. Instrumen penelitian yang digunakan terdiri dari lembar validasi, lembar observasi keterlaksanaan pembelajaran, lembar penilaian siswa, lembar penilaian guru, dan tes hasil belajar. Subyek penelitian ini adalah 34 siswa kelas VIIE dan 1 guru matematika di SMP Negeri 6 Yogyakarta. Hasil validasi menunjukkan perangkat yang dikembangkan layak digunakan dengan kategori baik.  Hasil uji coba menunjukkan bahwa perangkat yang dikembangkan praktis dan efektif dalam meningkatkan kemampuan pemecahan masalah dan komunikasi matematika siswa. Dengan demikian secara keseluruhan penelitian yang dilakukan menunjukkan bahwa produk yang dikembangkan layak untuk digunakan ditinjau dari aspek kevalidan, kepraktisan dan keefektifan. Developing a mathematics learning kit using PMRI approach to increase problem-solving ability and mathematics communicationsAbstractThis research aimed to produce mathematics learning kit with the PMRI approach, effective and practical to increase the ability of problem-solving and mathematics communications. This research was development research with the model 4-D by Thiagarajan, consist of four development steps including define, design, develop and disseminate. The kit development started from phase analyzing the early-last, the student analysis, analyze the item analysis and specification of study target, media election, format election, design product, test the expert and practitioner, limited test-drive limited and test-drive field. The research instrument used consisted of the sheet validation, sheets of observation of executing study, sheet of student assessment, assessment sheet learning and test of the result of learning. This research was executed in SMP N 6 Yogyakarta, with the subjects 34 students of class VIIE SMP. The validation indicates the kits developed was appropriate to use with the good category. The result of test-driving indicates that the kit developed is effective and practical to improve the ability of problem-solving and communications of mathematics. In general, this study has shown that the developed product was reliable to be used as they fulfill the valid, practical and effectiveness aspects.
Kemampuan berpikir kreatif matematis mahasiswa dalam menyelesaikan akar pangkat persamaan kompleks berdasarkan tingkat kemampuan akademik
Authors: Suripah Suripah , Sthephani Aulia
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan kemampuan berpikir kreatif matematis mahasiswa dalam menyelesaikan akar pangkat persamaan kompleks berdasarkan tingkat kemampuan akademik. Penelitian ini merupakan penelitian deskriptif  kualitatif. Subjek penelitian ini adalah mahasiswa semester 6 tahun ajaran 2016/2017 program studi pendidikan Matematika Universitas Islam Riau  sebanyak 132 orang. Objek penelitian adalah kemampuan berpikir kreatif matematis mahasiswa pada mata kuliah analisis kompleks. Data hasil penelitian dianalisis dengan cara mendeskripsikan kemampuan berpikir kreatif matematis mahasiswa berdasarkan tingkat kemampuan akademik rendah, sedang dan tinggi pada masing-masing indikator yang telah didefinisikan. Hasil penelitian menunjukkan bahwa cara berpikir kreatif matematis mahasiswa yang berkemampuan akademik tinggi sudah mampu mengidentifikasi penyelesaian soal pada semua indikator. Mahasiswa yang berkemampuan akademik sedang sudah mampu mengidentifikasi penyelesaian soal pada indikator fluency dan elaboration, sedangkan pada indikator flexibility dan originality masih banyak jawaban yang relatif sama. Sedangkan pada mahasiswa berkemampuan akademik rendah baru mampu mengidentifikasi sebatas pengetahuan pada indikator originality dan elaboration, sedangkan pada indikator fluency dan flexibility belum ada yang benar. Students’ Mathematical Creative Thinking Ability in Solving Complex Roots of Equations Based on The Level of Academic Ability AbstractThis study aims to describe the ability of students' mathematical creative thinking in solving the complex roots of equation based on the level of academic ability. The study was descriptive qualitative research. The subjects were students of 6th semester in the academic year of 2016/2017 Department of Mathematics Education, Islamic University of Riau as many as 132 people. The objectives of this research were the ability of students' mathematical creative thinking in complex analysis courses. The data were analyzed by describing students' mathematical creative thinking ability based on low, medium and high academic ability level on each defined indicator. The results of this study show that the mathematical creative thinking of students with high academic ability has found been able to solve questions in all indicators. Furthermore, students who are in the medium ability have found already able to solve problems on indicators of fluency and elaboration, whereas in the indicator of flexibility and originality there are still many relatively similar answers. Besides, the students with low academic ability are able to identify only in the level of knowledge on originality and elaboration indicator, whereas the fluency and flexibility indicator are not yet correct.
Internet Virtual Storage sebagai Alternatif Penyimpanan Data
Authors: Hernawati Kuswari
Published: March 2024

Hampir seluruh aspek kehidupan manusia saat ini tidak dapat dilepaskan dari teknologi, khususnya teknologi komputer. Revolusi Teknologi Informasi(TI) ikut mengubah perilaku masyarakat modern yang mencoba masuk dan menghirup atmosfer sebuah kebudayaan baru, suatu kecenderungan terciptanya “masyarakat tanpa kertas”. Untuk menuliskan suatu dokumen, orang cenderung sudah meninggalkan mesin ketik manual dan sudah digantikan perannya oleh komputer. Selain itu pengarsipan data sudah mulai meninggalkan kertas, dan menyimpannya dalam media penyimpanan seperti disket, CD, hardisk dan sebagainya. Banyaknya kejadian seperti kerusuhan, bencana alam yang terjadi misalnya gempa bumi, banjir yang menghancurkan gedung-gedung perkantoran yang sekaligus menghancurkan komputer beserta data-data didalamnya, telah memunculkan alternatif penyimpanan data dengan memanfaatkan TI,  yaitu dengan metode penyimpanan data di server, yang back-upnya bisa dibuat dalam beberapa versi dan bisa dilindungi dengan sistem keamanan berlapis.    Beberapa cara yang dapat digunakan diantaranya adalah dengan memanfaatkan fasilitas email dan menggunakan layanan perusahaan penyedia internet service storage. Perusahaan penyedia layanan bertugas menyimpan dan membackup data yang dikirimkan pada server mereka, dengan demikian data yang tersimpan dapat diambil, diakses kembali kapanpun dan dimanapun berada selama masih terhubung ke internet.    Perlu diingat bahwa keamanan data di email tidaklah 100% terjamin dan selalu ada resiko terbuka untuk umum, dalam artian semua isinya dapat dibaca oleh orang lain. Hal ini disebabkan oleh karena data itu akan melewati banyak server sebelum sampai di tujuan. Tidak tertutup kemungkinan ada orang yang menyadap data yang dikirimkan tersebut.  Untuk itu data dapat diamankan dengan melakukan teknik pengacakan atau enkripsi. Begitu juga pada  internet service storage, meskipun penyedia layanan sudah melakukan pengamanan dengan secure http (https), tak ada salahnya apabila dilakukan pengamanan sendiri terhadap data dengan cara dienkripsi.Kata kunci : email, internet service storage
MASALAH NORM MINIMUM PADA RUANG HILBERT DAN APLIKASINYA
Authors: Karyati Karyati , Wutsqa Dhoriva Urwatul
Published: March 2024

In this paper, will be discussed about the minimum norm in the pre- Hilbert Space, Hilbert space and its modification, and its application. The results are: Let X be a pre-Hilbert space and M is a sub space of X. If an element is fixed, then : . If there is such that , then is unique. Let H be a Hilbert space and M be a closed sub space of H . If , then there is a unique element such that , . Let X be a Hilbert space , M be a closed sub space of X . If V =x+ M, for an element xX, then there is a unique element of such that , M.Key words : minimum norm, pre-Hilbert space, Hilbert space , orthogonality
INVERSI DAN TITIK-TITIK HARMONIS
Authors: Puji Himmawati , Caturiyati Caturiyati
Published: March 2024

Given a circle centre O and radius r in , the inversion in this circle is the mapping defined by , where lies on the straight line through O and A, and on the same side of O as A, and . It will be investigated the property of inversion related to four harmonic points. The result is that the cross-ratio of any four coplanar points A, B, C, D is invariant under inversion. Hence, the inversion preserves the four harmonic points.Keywords : inversion, cross ratio, four harmonic points.