bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of antiglaucoma drug treatment awareness and patient-reported medication adherence: Determinants of glaucoma management
Authors: Tripathi RK , Shah A , Jalgaonkar SV , Kerkar S
Published: June 2023

Introduction:

Primary open angle glaucoma (POAG) treatment is characterized by long-duration therapy, prescription variability, and non-adherence. Patient awareness toward drug treatment is crucial to ensure adherence. The present study was planned to evaluate drug treatment awareness, patient-perceived drug adherence, and prescription patterns in POAG patients.

Methodology:

This was a cross-sectional, single-center, questionnaire-based study conducted in the ophthalmology out patient department of a tertiary care hospital from April 2020 to November 2021. Patients of either gender, aged 40–70 years, with a confirmed diagnosis of POAG, who had records of POAG medications for at least last 3 months and who provided written informed consent, were included. Prescription details were recorded, and subsequently, patients were administered a pre-validated drug treatment awareness (14 items) questionnaire, a self-reported medication adherence (9-item) questionnaire, and then they performed eye drop instillation in a simulated setting.

Results:

The total number of patients enrolled was 180, which yielded 200 prescriptions. The mean drug treatment awareness score was 8.18 ± 3.30, and 135 (75%) patients scored more than 50% (≥7/14). Similarly, 159 patients (83.33%) had scored >50% (i.e. >5/9), with a mean score of 6.30 ± 1.70 in the medication treatment adherence questionnaire. The mean eye drop instillation performance score was 7.18 ± 1.20. The 200 POAG prescriptions containing 306 drugs were analyzed, with beta blockers (184/200, 92%) and timolol (168/200, 84% encounters) being the highest prescribed classes/drugs.

Conclusion:

POAG patients did have adequate treatment awareness with good self-reported medication adherence and performance of eye drop instillation technique. Around 25% patients lacked awareness; hence, reinforcement education programs on medication regimens need to be implemented.
The effect of oral use of concentrated pomegranate juice by mothers on hyperbilirubinemia in neonates under phototherapy: A randomized clinical trial
Authors: Rezapour Masomeh , Zahedpasha Yadollah , Kamalinejad Mohammad , Memariani Zahra , Alijanpour Morteza , Ahmadpour-Kacho Mousa , Mozaffarpur Seyyed Ali , Shirafkan Hoda
Published: June 2023

Background:

Hyperbilirubinemia is a common problem in neonates that causes hospitalization. The aim of this study was to investigate the effects of concentrated pomegranate juice (CPJ) consumption by breastfeeding mothers on neonatal hyperbilirubinemia.

Materials and Methods:

In this open-labeled, add-on, randomized clinical trial, 86 breastfeeding mothers and their neonates were allocated into two groups. In the control group, neonates received phototherapy. Besides neonates' phototherapy in the intervention group, their mothers received CPJ (1 tablespoon [15 g] three times a day) up to discharge. The bilirubin level was the primary outcome. The duration of phototherapy, the duration of hospital stay, and the need for exchange transfusions were secondary outcomes.

Results:

CPJ reduced the bilirubin level of hospitalized neonates within 48 h after consumption (P = 0.048, standard mean difference = 0.648). It also resulted in reduced duration of hospital stay and faster discharge of the neonates. Furthermore, in 48 h after discharge, bilirubin was significantly lower in the CPJ group (P = 0.003, partial eta squared = 0.123).

Conclusion:

Compared to the control group, consumption of CPJ by lactating mothers whose infants underwent phototherapy resulted in lower bilirubin levels, shorter hospital stay, and faster discharge.
La violencia en los programas televisivos
Authors: Cohen Daniel
Published: June 2023

Los niños en edad preescolar, comenzando desde los dos años, miran alrededor de tres mil horas de TV antes de ingresar al primer grado del ciclo básico. Durante el período de enseñanza primaria y secundaria, los estudiantes acumulan alrededor de diez mil horas de asistencia a clase, mientras que en el mismo tiempo gastan un promedio de quince mil horas frente a un aparato de TV.

Un hecho importante descubierto en las investigaciones de la violencia en la TV es el fenómeno del aprendizaje observacional. Teoría avalada por muchos científicos que distinguen entre la adquisición de una conducta y su ejecución. De modo que la conducta aprendida puede ser almacenada y ejecutada posteriormente si se presentan las circunstancias apropiadas.

Ante estas evidencias, ya es imposible seguir pensando que la TV es una forma inofensiva de entretenimiento. Si nuestros niños son ingenuamente inducidos por el poder de atracción de los contenidos televisivos, es responsabilidad de los adultos proporcionarles métodos de autodefensa. De allí la necesidad de transmitir a los niños conocimientos mínimos, desde la escuela y la familia, que desarrollen rápidamente su actitud crítica frente a los mensajes que perciben.
Recepción televisiva y adolescentes El programa "Caiga quien Caiga" producido en Argentina y las prácticas políticas de los adolescentes
Authors: Emanuelli Paulina Beatriz
Published: June 2023

El presente trabajo se propone conocer qué concepciones de política y de los políticos se plantean desde el programa televisivo "Caiga quien caiga" (CQC) y de qué manera los adolescentes las receptan considerando su propia práctica política. La indagación se realizó en dos unidades de observación diferentes: el programa televisivo y los adolescentes. Con el programa se trabajó con análisis de contenido y se aplicó a un corpus grabado de 38 programas emitidos durante 1997. Con los adolescentes se trabajó en sesiones que contenían dos momentos diferenciados. Primero, sobre sus hábitos de consumo y preferencias televisivas a través de una encuesta; luego, con entrevistas amplias se trabajaba sobre su recepción de CQC.
A Model based Framework for Online State of Charge and Available Power Estimation in Li-ion Batteries
Authors: Aphale Siddharth
Published: June 2023

Lithium-ion batteries (LiBs) are increasingly being used in EV/HEV applications due to their virtue of high energy density, power density, low weight and long life. Operation of Li-Ion batteries beyond their safe zone may lead to hazardous thermal runaway events. It is difficult to estimate the remaining usable capacity left in the battery during operation. Thus, accurate state of charge (SOC) and state of available power estimation is crucial to ensure the safe and reliable operation of lithium-ion batteries used in EV/HEVs. In this paper, a model based framework for real time estimation of battery state of charge and available power estimation is discussed. A detailed equivalent circuit model capturing battery dynamics is developed and parameterized for a battery cell. The model achieves >98% accuracy in full SOC window for dynamic profiles Adaptive Extended Kalman Filter based SOC estimation algorithm is proposed and validation for drive cycle data. Tuning of the Kalman Filter for improving state estimation is discussed. The Kalman filter based approach is compared with coulomb counting. Finally, a multi constrained algorithm for real time estimation of available power in the battery is developed and integrated with the SOC estimation framework. Later, a comprehensive evaluation of the models is carried out for model complexity and accuracy and the results are compared against the experimental data. The results demonstrate that model based SOC and available power estimation provide a significant advantage over traditional coulomb counting based methods and actionable insights for optimal control of EV batteries.
Light Weight Composite Structure Approach of Automotive Soft Top Construction
Authors: Khairnar Prashant Dattatray , Pradhan Prabhudatta , Kakani Phani Kumar , Bornare Harshad , Sriperumbudur Srivatsa
Published: June 2023

In an off-road vehicle, Vehicle Structure plays a major role in passenger safety, Aesthetics, Durability, through a validated construction of canopy structure. This structure is to maintain the shape of the vehicle and to support various loads acting on the vehicle. In present market a safe, Durable, Robust, Waterproof, Noise less, Light weight and cost-effective off-road vehicle will always be a delight for any customer. However, the current conventional way of Soft top vehicle structure use metal brackets and formed sheet parts to create a structure to retain the canopy shape in place.

These conventional structures are often heavier and would have many demerits such as heavy weight, Corrosion, Risk of canopy tear due to metallic structure edges and inappropriate draining, water management. Considering this we replaced the heavy metal brackets in to blow molded plastic parts. The plastic parts helped us in significantly reduce weight yet retaining the structural integrity and strength. This also helped us in addressing the concerns posed by the conventional canopy structure and resulted in aesthetically superior and a well-groomed look of the shell from exterior.

This paper briefs about light weight, aesthetic construction of blow molded canopy structure with good strength and less part cost & investment cost. By blow molded plastic parts total weight of vehicle gets reduces and this improves efficiency of vehicle.
Studying the effect of Anzali port breakwaters on sedimentation in Anzali wetland using remote sensing
Authors: Safaval Payam Alemi , Neshaei Seyed Ahmad , Heidarian Peyman , Khanmohammadi Mehrdad , Ghanbarpour Fariba , Azizi Zahra , Behzadi Saeed , Stefanakis Alexandros
Published: June 2023

The construction of new breakwaters in Anzali port has had a significant impact on the water body of the Anzali international lagoon. The Anzali wetland is under threat from sediment influx from mountainous regions, and the study used satellite image processing to demonstrate how the construction of new breakwaters impedes the natural transfer of sediment from the lagoon to the sea. The methodology employed a hybrid approach combining two methods: normal water index (MNDWI) and supervised classification (SVM) to detect sediment accumulation in the wetland water zone. Following the construction of new breakwaters in 2009, an island formed and expanded exponentially in parts of Sorkhankol Wildlife Sanctuary's water body. This phenomenon is attributed to decreased water flow caused by increased cross-section current and volume of water, creating a dam-like function against channel flow leading to the sea. Consequently, sediments and suspended loads settle in Sorkhankol's water zone, leading to an increase in island area from 0.39 hectares to over 26 hectares during the studied period. Result showed Kappa coefficients by SVM algorithm for years 2002, 2010, 2012 and 2017 which were found to be 0.76, 0.62, 0.71 and 0.86 respectively indicating that SVM outperforms MNDWI in effectively monitoring landform changes.
Leitores nas séries inicias:
Authors: Alves Valente Thiago , Ferreira Neves Vanessa
Published: June 2023

O objetivo deste artigo é apresentar o aporte teórico-metodológico de uma proposta de intervenção pedagógica, em andamento, no âmbito de uma pesquisa-ação do PROFLETRAS. São expostos os fundamentos teóricos dos campos de estudos sobre ensino de literatura e literatura infantil, bem como a fundamentação metodológica sobre as ações pretendidas, com ênfase para a ideia de “ouvido pensante” (AMARILHA, 2013), a fim de estruturarmos uma vivência literária marcada pelo reconhecimento da oralidade como forma preponderante e inerente ao desenvolvimento de apropriação do código escrito. Para a sala de aula, optamos pelo método criativo (AGUIAR; BORDINI, 1988) permeado por atividades da oralidade em busca de uma relação subjetiva positiva com os textos literários. Como resultado parcial do projeto, constatamos que os estudos bibliográficos e a estruturação teórico-metodológica apontam a necessidade de se ampliar o reconhecimento da oralidade e de suas implicações no processo de formação literária de crianças em processo de alfabetização.
O uso de pequenas narrativas como recurso argumentativo para a construção de posicionamentos emocionais:
Authors: Scali Abritta Carolina , Lívia Miranda de Oliveira  , Carlos Wagner  Marinelle Francisco
Published: June 2023

O presente artigo toma como embasamento teórico a Teoria do Posicionamento (Harré; Van Langenhove, 1999) e a Teoria de Micronarrativas (Georgakopoulou, 2006), para analisar a produção de posicionamentos de alunos do 9o ano do Ensino Fundamental envolvidos em um debate regrado sobre o ensino remoto no contexto da escola pública brasileira em tempos de pandemia de coronavírus. Ficou demonstrado, através da análise dos dados orais gerados e transcritos conforme os pressupostos da Análise da Conversa Etnometodológica (LODER, 2008), o uso argumentativo e contraargumentativo de pequenas narrativas orais e ainda o recurso à emoção para a construção dos posicionamentos discentes no curso do debate oral. Fruto de uma dissertação desenvolvida no âmbito do PROFLETRAS, destaca-se com contribuições deste trabalho: a valorização da argumentação oral, do uso de pequenas narrativas e da educação das emoções na sala de aula de Língua Portuguesa.
PERCEPCIJA STUDENATA I STUDENTKINJA O PROFESIJI SOCIJALNOG RADA
Authors: Skrobić Ljiljana , Stanojević Nenad , Pucarević Bojana
Published: June 2023

Social work faces multiple challenges. Some of them include inadequate public understanding and acknowledgement of the profession of social work’s significance, as well as inadequate understanding and distinction of social work from other professions. Additionally, there is a generally poor impression of social work, which may be attributed to a number of things, including individual experiences and media coverage. Investigating how the profession is perceived by individuals who have received the necessary training for it, as well as by those in related (helping) professions, is crucial in addition to looking at how the general public perceives it. The paper presents the results of research that deals with the perception of students about social work, social workers and the position of social work in the Republic of Serbia.
BAHAN AJAR MICROSOFT OFFICE MENGGUNAKAN SMARTPHONE PADA SEKOLAH MENENGAH PERTAMA
Authors: M. Nizomul Asfari  , Muhammad Fahrurrozi
Published: June 2023

At this time Smartphones are not only owned by the upper class, but almost all groups. Because smartphones have many benefits, including as a learning medium for school children. The purpose of this research is to make a Microsoft Office teaching material application with the Android operating system. This application was created using Android Studio with the Java programming language. In this study the system design method used is the waterfall method. The results of this study are an android program in the form of Microsoft Office learning materials that will be used for students of Madrasah Tsanawiyah Nahdlatul Wathan Kalijaga Timur. Testing this application is reviewed based on several criteria, namely from the appearance of the application, the contents of the application material, and the benefits of the application to users.
ANALISIS SENTIMEN PENGGUNA APLIKASI BANK SYARIAH INDONESIA DENGAN0MENGGUNAKAN0ALGORITMA SUPPORT VECTOR MACHINE (SVM)
Authors: Rachmawati Oktaria Mardiyanto  , Kusrini Kusrini , Ferry Wahyu Wibowo
Published: June 2023

Beberapa produk perbankan syariah baru telah diciptakan sebagai hasil dari meningkatnya popularitas perbankan syariah di Indonesia. Karena kemajuan teknis yang dimungkinkan oleh era globalisasi, semua operasi, termasuk transaksi, dapat dilakukan dengan mudah dan praktis. Salah satu bank syariah yang menawarkan layanan mobile banking adalah Bank Syariah Indonesia. BSI Mobile masih menempati posisi ke-49 dalam kategori perbankan menurut statistik yang diambil dari Google Playstore, sementara institusi lain sudah berada di posisi 20 besar. 5 ahli bahasa akan membubuhi keterangan atau memberi label secara manual pada 55.416 ulasan dan peringkat yang diberikan pengguna aplikasi. 13568 data ulasan dan peringkat yang dikumpulkan pengguna aplikasi setelah memberi anotasi atau pelabelan dan menghilangkan data duplikat akan digunakan dalam penelitian ini. Pada tahap awal proses analisis sentimen, dilakukan case folding, punctuation mark removal, stop word removal, dan stemming pada data review dan rating. Pendekatan Support Vector Machine (SVM) digunakan untuk mengevaluasi data training dan data testing menggunakan temuan stemmed. Pada penelitian ini, hasil pelatihan dan uji presisi masing-masing bernilai 87,309%, serta hasil pelatihan dan uji daya ingat keduanya bernilai 86,958%. Nilai akurasi pelatihan sebesar 85,87%, hasil analisis sentimen yang diproyeksikan memiliki tingkat akurasi sebesar 85,87%, serta hasil pelatihan dan pengujian presisi masing-masing bernilai 86,958%.
Sistem SISTEM PENDUKUNG KEPUTUSAN KELOMPOK PENENTUAN DOSEN PENGAMPU MATA KULIAH DENGAN METODE PROMETHEE DAN BORDA
Authors: Heru Heroe Santoso , Raisul Azhar  , I Putu Hariyadi  , Husain  , Yayan Suganda
Published: June 2023

Dosen adalah pendidik profesional dan ilmuwan dengan tugas utama mengajar, mentransformasikan, mengembangkan dan menyebarkan ilmu pengetahuan, teknologi, dan seni (IPTEKS) melalui pengajaran, penelitian dan pengabdian kepada masyarakat. Kedudukan dosen sebagai tenaga profesional berfungsi untuk meningkatkan martabat dosen serta mengembangkan IPTEKS untuk meningkatkan mutu pendidikan nasional. Tujuannya adalah untuk melaksanakan sistem pendidikan nasional dan mewujudkan tujuan pendidikan nasional. Ketua program studi dan dekan dalam penentuan dosen pengampu mata kuliah masih dilakukan secara manual berdasarkan kompetensi masing-masing dosen dan melihat surat keputusan pengajar semester sebelumnya. Dalam cara penentuan tersebut tentunya hasil yang didapat masih belum maksimal karena beberapa dosen masih ada yang tidak sesuai kompetensi/kualifikasi terhadap mata kuliah yang diampu. Berdasarkan permasalahan di atas pihak pihak fakultas akan memikirkan sistem yang lebih baik, yaitu beralih dari sistem manual ke Sistem Pendukung Keputusan Kelompok (SPKK). Metode SPKK yang digunakan adalah metode promethee dan borda yang merupakan salah satu metode penyelesaian masalah pengambilan keputusan di dalam suatu kelompok. Dengan metode promethee dan borda, beberapa pendapat ataupun persepsi yang berbeda mengenai suatu keputusan bisa disatukan menjadi suatu keputusan kelompok/bersama. Dengan begitu, keputusan yang dihasilkan bisa diterima oleh kelompok tersebut.Metode pengembangan sistem menggunakan metode waterfall yang terdiri dari beberapa tahap antara lain : tahap pengumpulan data, tahap analisis, tahap desain, tahap pengkodean dan tahap pengujian. Kesimpulan dari penelitian ini menghasilan Sistem Pendukung Keputusan Kelompok penentuan dosen pengampu mata kuliah dengan metode borda. Berdasarkan hasil pengujian sistem dari responden menyatakan bahwa sistem dapat mempermudah dan mempercepat proses penentuan dosen pengampu mata kuliah.
DETEKSI WAJAH MENGGUNAKAN ALGORITMA VIOLA JONES BERBASIS ANDROID
Authors: Vera Wati  , Yuliana  , Nisrina Yulia Setyowati  , Mudawil Qulub
Published: June 2023

ABSTRAK

Wajah menjadi sumber teknologi biometrik yang menjadi ciri khas bagian tubuh yang melekat pada seseorang, dimana seringkali menjadi objek penelitian dibidang pengolahan citra digital. Teknologi biometrik wajah telah banyak digunakan dalam berbagai perangkat elektronik dalam pengenalan wajah. Namun, langkah awal dalam biometrik wajah adalah deteksi wajah. Tujuan dari deteksi wajah adalah menemukan area wajah dalam citra. Deteksi wajah dilakukan dengan menggunakan proses komputer dalam belajar mengenali ciri tertentu, seperti fitur wajah, mata, posisi hidung, dan bentuk bibir. Komputer akan mempresentasikan citra wajah berupa matriks dua dimensi atau lebih. Tujuannya untuk mengetahui ada atau tidaknya wajah pada suatu objek dalam verifikasi keamanan. Maka penelitian terkait deteksi wajah menjadi topik fundamental dan memainkan peran penting dalam pengembangan teknologi biometrik.

Penelitian ini menerapkan metode Viola Jones untuk mendeteksi keberadaan wajah manusia dengan variasi pose wajah dan aksesoris yang sering dikenakan pada wajah. Metode ini memiliki keakuratan yang tinggi dan klasifikasi fitur yang sederhana. Metode ini tidak menggunakan piksel secara langsung dalam mengklasifikasi citra, melainkan menggunakan fitur Haar untuk penggabungan perhitungan Integral Image dan AdaBoost Machine Learning dalam membentuk Cascade Classifier sehingga didapatkan hasil keberadaan wajah.

Implementasi penelitian menggunakan Android dan deteksi wajah diambil dari hasil tangkapan layar yang tersimpan dalam perangkat android. Hasil dari pengujian dengan tingkat akurasi mencapai 95,38 % dengan posisi wajah tegap menghadap ke kamera dan citra dengan aksesoris tingkat akurasi mencapai 72,47 %. Hal ini menunjukan bahwa penggunaan aksesoris dapat menutupi sebagian fitur wajah, sehingga membuat algoritma deteksi wajah sulit mengenali waja dengan akurat.
PEMODELAN SISTEM OPTIMASI PENJADWALAN MATAKULIAH DENGAN ALGORITMA GENETIKA
Authors: Eka Yulia Sari  , Dina Yulina H  , Titik Rahmawati
Published: June 2023

Penjadwalan mata kuliah disetiap universitas merupakan pekerjaan yang rumit dan kompleks karena banyak kendala dan aturan-aturan yang harus diperhatikan. Penjadwalan pun menjadi hal yang krusial dalam proses belajar mengajar karena kegiatan dosen dan mahasiswa tergantung pada jadwal yang telah disusun. Permasalahan umum yang perlu diperhatikan pada saat penjadwalan yaitu kemungkinan dosen mengajar lebih dari satu mata kuliah dan kemungkinan jumlah matakuliah dan dosen tidak seimbang. Penyusunan jadwal perkuliahan di Fakultas Teknik UST masih dilakukan secara manual dengan menggunakan excel sehingga proses penyusunan jadwal tersebut membutuhkan waktu yang lama sehingga kurang efektif.

Penelitian ini bertujuan untuk merancang sebuah pemodelan sistem optimasi penjadwalan matakuliah di Fakultas Teknik UST dengan algoritma Genetika agar dapat mempermudah pengembangan sistem penjadwalan dan mengoptimalisasikan waktu penyusunan jadwal matakuliah. Data yang digunakan adalah data sekunder berupa data penjadwalan mata kuliah di Fakultas Teknik UST semester genap tahun akademik 2022/2023. Hasil akhir dari penelitian ini adalah sebuah pemodelan sistem optimasi penjadwalan matakuliah di Fakultas Teknik UST. Pemodelan proses sistem dilakukan dengan UML (Unified Modeling Language) yang terdiri dari 3 diagram yaitu Use Case Diagram, Activity Diagram, dan Class Diagram sedangkan pemodelan analisis penyimpanan datanya menggunakan ERD (Entity Relation Diagram). Pada penelitian ini menerapkan 4 hard constraint dan 3 soft constraint yang menjadi batasan dalam memproses penjadwalan dengan algortima genetika.
eTWINNING PROJE ÇALIŞMALARININ ÖĞRETMENLERİN BİRLİKTE ÇALIŞMA YETERLİLİKLERİNE ETKİSİ
Authors: ALİREİSOĞLU Ahmet
Published: June 2023

Amaç: Bu araştırmanın almacı, öğretmenlerin birlikte çalışma yeterliliklerinin, eTwinning projelerinde görev alma değişkenine bağlı olarak farklılaşmasının incelenmesidir. Elde edilen sonuçların, projelerde görev alan öğretmenler ile yapılan görüşmelerle derinlemesine analiz edilmesi sağlanmıştır.

Yöntem/Tasarım / Metodoloji / Yaklaşım: Bu araştırmada öncelikle ölçek uygulaması ile eTwinning çalışmalarında görev alma durumunun birlikte çalışma yeterliliğine etkisi belirlenmiş, devamında elde edilen sonucu anlamlandırmak adına görüşmeler gerçekleştirilmiştir. Bu doğrultuda karma yöntem tercih edilmiştir. Karma yöntem araştırma probleminin kapsamlı biçimde incelenmesini amaçlayan pragmatist bir yaklaşımdır. Araştırma deseni olarak sıralı açıklayıcı desen tercih edilmiştir. Sıralı desen nicel uygulamaların sonucunda nicel sonuçları anlamlandırmak adına nitel aşamanın devreye sokulması şeklinde uygulanır. Araştırmanın nicel boyutu 78 öğretmen ile gerçekleştirilmiştir. Nitel boyutta ise 6 öğretmen ile görüşmeler gerçekleştirilmiştir.

Bulgular: Öğretmenlerin birlikte çalışma yeterliliklerinin genel olarak yüksek olduğu, eTwinning çalışmalarında görev alan öğretmenlerin ise anlamlı olarak daha yüksek bir düzeye sahip oldukları görülmüştür. Nitel boyutta ulaşılan bulgular, eTwinning çalışmalarının öğrenci, öğretmen ve kurumlar için olumlu katkılar ortaya çıkardığını göstermektedir. Öğretmenlerin birlikte çalışma yeterlilikleri ile ilişkili olan kişisel ve mesleki özellikleri doğrultusunda proje çalışmalarında görev alabildiği gibi, projede aldıkları görev dolayısıyla birlikte çalışma yeterliliklerinin etkilendiği sonucuna ulaşılmıştır.

Özgünlük: Öğretmenlerin birlikte çalışma yeterliliği konusunda yapılan çalışmalar oldukça sınırlıdır. Son yıllarda öğretmenlerin birlikte çalışmasını gerekli kılan çok sayıda proje türü uygulamaya alınmıştır. ETwinning projeleri Avrupa Birliği tarafından desteklenen Ulusal Ajans tarafından koordinasyonu sağlanan bir proje olarak etki alanını yıllardır genişletmektedir. Öğretmenlerin birlikte çalışma yeterliliğini destekleyebilecek olan eTwinning projelerinin yarattığı etkinin ve çıktılarının incelenmesi araştırmanın özgün yönü olmuştur.
AYAZ İSHAKİ’NİN SÜNNETÇİ DEDE ESERİNDE TATAR KÖY HAYATI
Authors: ZARİPOVA ÇETİN Çulpan
Published: June 2023

Tatar Türklerinin köy hayat tarzı ve hayat felsefesini yakından yaşayıp bilen ünlü yazar Ayaz İshaki fazla hacimli olmayan Sünnetçi Dede hikâyesinde birçok diğer eserinde olduğu gibi gerçekçi üslupla 19. yüzyıl sonu 20. yüzyıl başı Tatar Türklerinin milli değerlerini, zengin etnografı detaylarını, aile içi ilişkileri ve sıradan insanların iç dünyasını ele alır. Hikayede mekân, ataerkil bir düzen süren sıradan Tatar köyüdür. Yani eserde anlatılan köy de hayat tarzı ve yaşam felsefesi de henüz devrimler ve devrimci fikirlerle bozulmayan geleneksel, Tatar halkının yüzyıllarca sürdürdüğü düzeni yansıtan bir köy, hayat tarzı ve yaşam felsefesidir. Zaman da bu köyde yaşayan Tatar Türklerinin atalardan gelen gelenekleri ve İslam dinini daha doya doya yaşadıkları 19. yüzyılın sonu 20. yüzyılın başıdır. Ana karakter de böyle bir Tatar köyünde mesleğini ve milli değerleri hayatının merkezine yerleştiren Sünnetçi Dede’dir. Eserin dokusuna köy kesiminde yaşayan Tatar Türklerinin ev ve bahçe düzeni, geçim kaynağı, geleneksel mutfağı, giyim kuşamı ve dinî değerleri gibi bir halkı ayakta tutan kültürel değerler de özenle işlenmiştir. Bu hikâye ile Ayaz İshaki edebi kabiliyetini, Tatar halkının ve bu halktan olan bir insanın gönül derinliklerine inmeyi başaran usta kalemini bir kez daha ortaya koymuştur.
KAZAN TATAR EDEBİYATINDA AYAZ İSHAKİ VE GAZETECİLİĞİ
Authors: KAMALIEVA Alsou , KARATAŞ Muhammet
Published: June 2023

Köklü bir geçmişe sahip olan Kazan Tatar edebiyatı, bünyesinde geniş bir kültür zenginliği barındırmaktadır. Tarihsel süreç içerisinde evrildiği dönemler dikkate alındığında muhtelif dönemlerde gelişim gösteren Kazan Tatar edebiyatı, Tatar halkının var olduğu andan itibaren tarih sahnesine çıkmıştır. Ortaya çıkış tarihi kesin yargılarla belirtilemese de geçmişinin çok eskilere dayandığı aşikârdır. Her toplum ve edebiyatta olduğu gibi Kazan Tatar edebiyatında da Tatar toplumunun sosyal, siyasal, ekonomik ve coğrafî şartları belirleyici özellik olmuştur. Rusya’da 19. yüzyılın özellikle ikinci yarısında cereyan eden hadiseler, halkın hareketlenmesine sebep olmuştur. Bu halk hareketleri Kazan Tatarlarını da etkilemiştir. Bu dönemden sonra ivme kazanan Kazan Tatar edebiyatında, halkın gelişim göstermesi ile edebî türlerin de geliştiği görülmüştür. İdealist aydınların büyük rol oynadığı bu gelişim döneminde önde gelen aydınlardan biri de Ayaz İshakî’dir. Her türde eser veren İshakî’nin, sanat anlayışında daima ön planda tuttuğu hedefi, halkın eğitim oranını arttırmak ve milliyetçi düşüncelerini yayıp Tatarların öz kimliklerine geri dönmelerini sağlamaktı. Her edebi türde olduğu gibi gazetecilik türünde de Ayaz İshakî’nin çalışmaları bulunmaktadır. Kendi döneminin siyasî meselelerine gösterdiği hassasiyeti, mücadeleye dayalı milliyetçi ve gelişime meyilli şahsiyeti, toplumsal olaylara gösterdiği reaksiyonunu en güzel yansıttığı alanlardan birisi de gazeteci kimliği olmuştur. Kazan Tatar edebiyatının en keskin temsilcilerinden Ayaz İshakî’nin yaşadığı dönemde gazetecilik, toplumun bilinçlendirilmesi ve haberdar edilmesi için oldukça önemli bir araçtır. Özellikle Rusya’nın Japonya yenilgisinden sonra yerel basında yayınlara izin vermesi, Ayaz İshakî’yi de harekete geçirmiş ve bu dönemden sonra gazeteciliğinin ilk örnekleri görünmeye başlamıştır.
Covid-19 Pandemi Döneminde Yükseliş Gösteren Sektörler: E-Ticaret
Authors: ERYİĞİT Volkan , ÖZDEMİR Lütfiye
Published: June 2023

Koronavirüs (Covid -19 Pandemisi) ilk olarak Çin’in Wuhan kentinde görülmüş ve dünyanın birçok ülkesinde hızla yayılmıştır. Dünya üzerinde büyük bir tehlike ve endişeye yol açan koronavirüs, insanların yaşam tarzlarında radikal değişiklikler oluşturmuştur. Pek çok alışkanlığın değişmesine neden olan pandemi süreci, üretim ve tüketim alanlarında da farklılıklar yaşanmasını zorunlu kılmıştır. Günümüz ileri teknolojisinin de yardımıyla insanlık yaşamında yeni bir ‘‘uzaktan dönem’’ başlamıştır. Bu bağlamda üretim ve tüketim faaliyetleri de uzaktan bir nitelik kazanarak ‘‘e-ticaret’’ faaliyetleri hız kazanmıştır. Öyle ki pandemi nedeniyle zarar gören birçok sektörün aksine e-ticaret sektörü yükselen bir değer olarak karşımıza çıkmaktadır. Salgının etkilerini en aza indirebilmek adına; çalışma sistemlerinin değişmesi, gıdaya ulaşma noktalarının farklılaşması, tatil anlayışlarının değişmesi ve online eğitime geçilmesi gibi hususların yanı sıra ticari anlamda da önemli değişimler yaşanmıştır. Yaşanan bu gelişmeler nedeniyle e-ticaret, gerek alt yapı gerekse operasyon faaliyetlerinde kendini geliştirmek zorunda kalmıştır. Öyle ki birkaç yılda tamamlanacağı tahmin edilen dijital dönüşüm çalışmaları, pandemi etkisiyle birkaç ayda gerçekleştirilmiştir. Bu çalışmada koronavirüs pandemisi sürecinde önem kazanan e-ticaret sektörünün salgın öncesi ve sonrası durumu ve gelişimi hem Türkiye hem de dünya dikkate alınarak ele alınacaktır.
File Security Design in Electronic Health Record (EHR) System with Triple DES Algorithm (3DES) at Jember Family Health Home Clinic
Authors: Yunus Muhammad , Sakkinah Intan Sulistyaningrum , Rahmawati Ulfa Emi , Deharja Atma , Santi Maya Weka
Published: June 2023

Electronic Health Record (EHR) is an electronic version of a patient's medical history maintained by a health care service from time to time. The hacking of medical record data by irresponsible parties is a security threat to the EHR system, including the EHR system belonging to the Jember Family Health Home Clinic which is not equipped with a file security system. This research was conducted by designing file security on the EHR system with the Triple DES (3DES) algorithm using UML (Unified Modeling Language) diagrams. The Triple DES (3DES) algorithm was chosen because it is considered secure in securing files. The results of this study are the design of adding file security with 3DES to the EHR system to help maintain the confidentiality of vital medical record data. Further research can be done by building a file security system using 3DES according to the design that has been made.
The Role of Social Media Marketing Communication on the Instagram Platform in Growing Consumer Buying Intention
Authors: Sabila Aqila Sofwatun , Albari Albari
Published: June 2023

Today, technological advancements have resulted in a major transformation in the means of communication between consumers and companies. Such developments have also impacted communication through social media, which is a more efficient way to find new consumers and retain existing ones. Therefore, conducting research that relates the purchase intention generated by the variables of Firm-created social media communication (FCSMC), User-generated social media communication (UGSMC), and consumer love for the brand can be useful for predicting consumers' actual purchase of the brand. This study will involve Instagram users in Indonesia who access them at least three times a week. The sample size was determined to be 200 people, selected using the convenience sampling method. The research data is obtained primarily and collected using a questionnaire. Furthermore, the data obtained were analyzed using the SEM approach and the help of the AMOS 22 data processing program. The results showed the importance of the relationship between FCSMC and UGSMC in shaping brand passion and consumer purchase intention. This means that to be able to generate brand passion and consumer buying interest, it is not enough for companies to carry out marketing communications through social media managed by the company; these communications must be able to inspire and shape marketing communications created and disseminated by social media users through their content.
Pengaruh Profitabilitas, Likuiditas, Leverage, Ukuran Perusahaan Dan Corporate Social Responsibility Terhadap Penghindaran Pajak
Authors: Jao Robert , Holly Anthony
Published: June 2023

Penelitian ini bertujuan untuk menginvestigasi profitabilitas, likuiditas, leverage, ukuran perusahaan dan corporate social responsibility terhadap penghindaran pajak. Teori yang digunakan dalam penelitian ini adalah teori legitimasi, teori stakeholder dan teori agensi. Penelitian ini menggunakan data sekunder yang diperoleh dari metode obeservasi. Sumber data penelitian ini dari laporan tahunan dan laporan keberlanjutan pada perusahaan non keuangan yang terdaftar di Bursa Efek Indonesia (BEI) untuk periode 2016-2019. Sampel yang dipilih menggunakan metode sampel purposive, dengan total 20 perusahaan. Penelitian ini menggunakan analisis regresi berganda. Hasil penelitian ini mengindikasikan bahwa profitabilitas, ukuran perusahaan dan corporate social responsibility memiliki pengaruh positif tetapi tidak signifikan terhadap penghindaran pajak. Likuiditas dan leverage memiliki pengaruh negatif dan signifikan terhadap penghindaran pajak.
Pengaruh Corporate Social Responsibility, Financial Distress, dan Firm Size terhadap Tax Avoidance
Authors: Anthony Holly Holly , Robert Jao  , Alfonsus Jantong  , Christina Gosal
Published: June 2023

Tujuan penelitian ini adalah untuk mengetahui apakah corporate social responsibility, financial distress dan firm size berpengaruh terhadap tax avoidance. Teori yang digunakan dalam penelitian ini adalah teori agensi dan teori legitimasi. Penelitian ini menggunakan data sekunder yang didapatkan menggunakan metode studi dokumen. Populasi dalam penelitian ini adalah seluruh perusahaan manufaktur sektor barang industri subsektor makanan dan minuman yang tercatat di Bursa Efek Indonesia selama periode 2018-2020. Pemilihan sampel dalam penelitian ini menggunakan metode purposive sampling. Jumlah perusahaan yang memenuhi kriteria dalam penelitian ini adalah 27 perusahaan. Penelitian ini menggunakan analisis regresi linear berganda sebagai metode pengujiannya. Hasil penelitian ini menunjukkan bahwa corporate social responsibility dan firm size memiliki pengaruh positif dan signifikan terhadap tax avoidance. Hasil penelitian ini juga menunjukkan bahwa financial distress memiliki pengaruh positif dan tidak signifikan terhadap tax avoidance.
Integritas Auditor Berbasis “Malempu Na Mapaccing” Dalam Pemeriksaan Laporan Keuangan Sebagai Upaya Mencegah Kecurangan (Studi Pada Kantor BPKP Perwakilan Provinsi Sulawesi Selatan)
Authors: Evi Sulpi Susanti , Andi Wawo  , Puspita H. Anwar
Published: June 2023

Kecurangan merupakan salah satu tindak kriminal yang sering terjadi baik dalam negeri maupun luar negeri. Kecurangan ini bukan faktor kekeliruan akan tetapi adanya faktor pendorong sehingga seseorang dapat melakukan kecurangan tersebut, jadi untuk menghindari terjadinya suatu kecurangan atau untuk mencegah terjadinya kecurangan dibutuhkan sikap integritas. Tujuan dari penelitian ini yaitu dengan diterapkannya integritas auditor berbasis “malempu na mapaccing” dalam pemeriksaan laporan keuangan sebagai upaya mencegah kecurangan di BPKP Perwakilan Sulawesi Selatan diharapkan dapat meminimalisir terjadinya kecurangan. Jenis penelitian ini adalah penelitian kualitatif dengan menggunakan pendekatan fenomenologi. Sumber data yang digunakan dalam penelitian ini adalah data primer. Informan merupakan auditor BPKP berjumlah 2 informan yaitu Auditor Madyah dan Auditor Muda.

Hasil penelitian ini menunjukkan bahwa penerapan integritas auditor berbasis “malempu na mapaccing” dalam pemeriksaan laporan keuangan sebagai upaya mencegah kecurangan sangatlah efektif dan sangat penting, karena dengan adanya sikap integritas yang dimiliki oleh seorang auditor dapat mencegah terjadinya suatu kecurangan dan dengan diterapkannya budaya malempu na mapaccing dapat membuat seseorang sadar untuk senantiasa jujur dan bersih dalam melakukan pekerjaan sehingga dapat meminimalisir terjadinya kecurangan.
Increasing the Agricultural Infrastructure and Technology of Somalia
Authors: Blackwell Jared
Published: June 2023

The purpose of this policy proposal is to address the food and water insecurity that the entire nation of Somalia is experiencing in order to secure the United States’ national interests in the region of The Horn of Africa. I urge Bob Menendez, the chairman of The United States Senate Committee on Foreign Relations, to consider my recommendations to tackle this systemic issue in the fragile state of Somalia because this foreign aid will save millions from severe malnutrition and dehydration, while weakening terrorist organizations in the region at the same time. My policy recommendation to tackle this issue are to increase foreign aid to Somalia in the way of developing water infrastructure countrywide.
When Awe Strikes: The Ebb of Loneliness in Response to Awe and Human Connection
Authors: Elias Hannah , Trujillo Alejandro , Claypool Heather
Published: June 2023

The current work examined whether awe fosters social connections to either large or small collectives and, if so, if such connections predict lower loneliness. In two studies, participants watched a video designed to elicit awe or amusement and then reported their feelings of social connections to humanity, social connections to close friends, and loneliness. Findings in both studies showed that awe had an indirect effect on loneliness via social connections with humanity, such that awe (compared to amusement) triggered greater social connections to humanity, which predicted less loneliness. Implications for the awe and loneliness literatures are discussed.
Challenging Behavior in Down Syndrome: Initial Surveys Evaluating Co-occurrence
Authors: Valdovinos Maria
Published: June 2023

Down syndrome (DS) is a developmental disability caused by trisomy of chromosome 21 and as with other developmental disabilities, individuals with DS may present with challenging behavior (e.g., aggression, tantrums, self-injurious behavior; Feeley & Jones, 2006). The purpose of this study was to evaluate the presence of challenging behavior in those with DS by surveying caregivers of individuals with DS via Qualtrics. A link to our survey was sent out to national and local organizations that support the DS population with a request to disseminate the link. Given limited response, the survey was modified (shorted and reorganized) and a link to the revised survey was disseminated via Facebook to groups focused on DS. Although both surveys received limited responses, there are preliminary findings worth exploring further. Aggression, noncompliance, and tantrum behaviors were frequently reported behavior and, escape and attention were the most reported perceived functions of behavior. Challenging behavior is reported in DS by caregivers. Future research should be conducted to examine the prevalence and function of challenging behavior in DS to develop effective preventative approaches to challenging behavior while promoting skill acquisition.
The Causes and Effects of Alzheimer's Disease
Authors: Soni Dhruva , Galluci Lauren
Published: June 2023

Many people in the world are known to have Alzheimer’s disease though not many people know what causes it or how it fully impacts a person. Alzheimer’s disease is a neurological disorder that causes people to forget events in their past. With a large proportion of the population affected by this disease, it is essential that they learn about this dangerous mental disease that plagues our lands. This review article thoroughly evaluates the causes of this disease, and the people who are susceptible to it. It talks about the symptoms and how they affect the individual who is diagnosed with it. It also discusses treatments for this type of dementia, and also previews the long-awaited cure for this disease which will be released in the future.
Investigating convergence and divergence of sequences
Authors: Gandhi Jayan , Sedrakayan Hayk
Published: June 2023

Convergence and divergence questions and limit of sequences appear in many different levels of mathematics including high school calculus and college-level research topics. In this paper, we are providing different approaches and techniques to deal with limit of sequences, convergence, and divergence. We also consider several applications and different examples to explain how these techniques can be used.
The neurohormonal basis of social attachment: oxytocin in regulating pair and maternal bonds
Authors: Wu Amy
Published: June 2023

Humans are highly social creatures that form intricate relationships, which makes studying social attachment an important part of behavioral neuroscience. These social relationships can reinforce positive well-being, but also inflict psychological damage when broken. Monogamous species form pair bonds, which are uncommon in the predominantly polygamous mammalian kingdom. Using the prairie vole (Microtus orchogaster), an extensively studied model organism, this review will focus on the role of oxytocin (OT) in both regulating and manipulating systems important for these bonds and discuss the possible consequences of changes to these systems. Because of the nature of these bonds, and how OT regulates the associated neural circuits, this research has important therapeutic value.
Brain Tumor Detection Using Convolutional Neural Network
Authors: Chhatre Falak , Deshpande Sudhanva , Malik Sidhant , Yan Grace , Subramaniam Suresh
Published: June 2023

Early and accurate diagnosis of brain tumors, a lethal disease caused by the abnormal growth of cells in the brain, is imperative to increase survival rates. A popular method for detection, diagnosis, and treatment is magnetic reasoning imaging (MRI) because it is non-invasive and provides high-quality visuals. Unfortunately, analyzing them manually can often be time-consuming and requires medical expertise. Image classification, a subset of computer vision, is a computer’s ability to classify and interpret objects within images. It can support a doctor’s diagnosis and serve as an entry-level screening system for brain tumors.

This study aims to build an accurate machine learning model to predict the existence of brain tumors from magnetic resonance images. We used the Br35H dataset to build two different convolutional neural network (CNN) models: Keras Sequential Model (KSM) and Image Augmentation Model (IAM). First, images from our dataset were preprocessed, augmented, and standardized to improve efficiency and reduce inaccuracies. Then, the data was normalized, and our models were trained. Lastly, aside from the validation accuracy and loss observed while training, we cross-referenced the accuracy of our model using the accuracy validation dataset. Of our two models, the IAM outperformed the KSM. The IAM had a validation accuracy of 97.99% and a validation loss of 4.94% on the Br35H dataset, and a 100% accuracy when classifying MRIs from the accuracy validation dataset.
The Effects of Congenital Heart Disease on the Development of Autism Spectrum Disorder in Pediatric Patients
Authors: Shah Dhriti , Kethar Jothsna
Published: June 2023

It is a well-known fact that congenital heart disease (CHD) can cause life-long health complications, especially if it impairs other bodily functions early in life. One of these complications is the risk of developing a serious neurodevelopmental disorder known as autism spectrum disorder (AuSD). With some case studies identifying the linkage of CHD and AuSD, it has been successfully established that being diagnosed with CHD does increase a child’s chances of developing AuSD later in life. There is not a simple answer for why this occurs. However, there are several factors that can contribute to why CHD increases the risk of developing autism. Some possible explanations may include synthetic factors such as the alteration of blood flow in genetic pathways due to early cardiac surgery. These explanations can also include uncontrollable factors such as demographics, maternal conditions, and viral infections, all of which are just as likely as synthetic factors. This research, based on case studies conducted recently, further reinforces the conclusion that the diagnosis of certain lesions of CHD results in an elevated risk of developing AuSD.
The Impact of Bilingualism on Cognitive Reserve as a Protectant Against Cognitive Decline
Authors: Zak Leila , Cascone Arianna
Published: June 2023

Cognitive decline exists on a spectrum, ranging from mild cognitive impairment to dementia. These two diagnoses encompass a group of symptoms rooted in the progressive decline of cognitive function, impairing aspects like memory, decision-making, language use, and locomotion. This review centers upon the premise of cognitive reserve, an intangible measure of the brain’s resilience and capacity to compensate for damage, and its relationship with the preservation of cognitive function later in life. Bilingualism constitutes one of many contributing factors to a higher cognitive reserve; however, this term fails to reflect the unique linguistic profile intrinsic to every individual—including whether a second language was acquired during childhood or later in life. Therefore, a distinction between “acquired” and “lifelong” bilingualism is made. Through the analysis of task-based and neuroimaging data, this review article elucidates the impact both forms of bilingualism have on cognitive reserve as a protectant against cognitive decline, revealing that resultant neuroprotective advantage is most salient when both languages are used regularly, in diverse environments, and in an active manner. These practices are observed in both acquired and lifelong bilinguals to varying degrees, which are contextualized and explored in detail within the review.
Using EEG Data to Detect Eye Movement
Authors: Narayanan Aishwaroopa
Published: June 2023

In this paper, we show that it is possible to use EEG data to detect eye movement using machine learning. By recognizing eye movement through EEG results, our goal is to help individuals with disabilities better control object movement and perform daily activities independently. This is especially important as many disabled individuals rely on assistance from others for their daily needs, which can be burdensome for the person providing help. To achieve these objectives, we trained different machine learning models using a data set of eye-state classification from Kaggle. We analyzed the results to assess the accuracy of a KNN (K Nearest Neighbors) model. With the model achieved an accuracy of 95.23% in detecting eye movement in patients. These findings suggest that the model could be effectively utilized in the future, with further research to assist individuals with disabilities. Overall, our research suggests that it is possible to recognize eye movement through EEG results reliably. Further research in this area could lead to the development of more effective and personalized interventions for individuals with poor hand-eye coordination.