bluuebunny/crossref_metadata_2025_split huggingface dataset:
Varoluşçuluk Açısından Godot Geldi ve Godot’yu Beklemezken Tiyatrosu ve Eserdeki Varoluşsal Göstergeler
Authors: KEMİKSİZ Cansu 
Published: March 2024

Varoluş felsefesinin ortak bir tanımını yapmak zor olsa da insanın kendini eylemleriyle var etmesi, seçim yapmak, sorumluluk üstlenmek gibi bazı ortak özellikleri vardır. Husserl, Heidegger, Ponty gibi kendinden önceki veya çağdaşı felsefecilerin görüşlerine ek olarak varoluş felsefesine önemli bir boyut kazandıran felsefeci ve yazar Sartre, Bulantı eserinde, insanın varoluşunu gerçekleştiremediğinde dünyaya karşı nasıl bir bulantı hissi duyduğunu anlatır. Bu bağlamda Sartre’ın varoluşçulukla ilgili görüşleri, edebiyat eserlerinde de sıklıkla işlenmiştir. Özellikle modernizmle birlikte bireyin iç dünyasına yönelen edebiyatçılar, Sartre’ın insanı işleyiş şeklinden esinlenmiştir ve bu perspektif ile pek çok eser yazılmıştır. Tiyatro özelinde de bu minvalde ve Albert Camus’nün başkaldırma ve absürt kavramından hareketle varoluşçu felsefeyi mesele hâline getiren eserlerin başında Samuel Beckett’in ünlü oyunu Godot’yu Beklerken gelir.
Miodrag Bulatovic’in Godot Geldi ile Cahit Atay’ın Godot’u Beklemezken oyunu, absürt tiyatronun kurucusu sayılan Samuel Beckett’in Godot’yu Beklerken oyununa gönderme yapan, konu bakımından onu temel alıp dönüştüren iki oyundur. Bu oyunlar da varoluşçuluk açısından incelenmeye müsaittir. “Godot” isimli bir nesnede birleşen varoluşçu göstergeler tiyatro oyunları ile aktarılmış, beklemenin anlamsızlığı, kurtarıcı beklemenin gereksizliği ve saçmalığı gibi konular her iki oyunda da ele alınmıştır.
Varoluşçuluk felsefesinin temel problemlerinden olan hayatın anlamı, daha doğrusu bir anlamı olup olmadığı gibi sorular Godot’yu beklemek ile birleştiğinde ortaya, Godot beklenirse ne olur, gelirse ne olur, gelmemesi istenirse ne olur? gibi birkaç sorun daha çıkar. Bu soru ve sorunların varoluşçulukla ilişkisi, oyunlarda bazı ortak kişiler ve semboller aracılığıyla işlenmiştir. Godot Geldi ve Godot’yu Beklemezken farklı kültürlere ait iki farklı eser olsa da işledikleri bu konular evrenseldir ve doğrudan insanın var oluşunu anlamlandırma yolculuğu ile ilgilidir. Ayrıca anlamsızlık, saçmalık, hiçlik, sürüklenme, umutsuzluk gibi temler de incelenen oyunların ortak özellikleridir. Bu çalışmada metinlerarası ve karşılaştırmalı okuma yöntemiyle her iki eserde de Godot’yu Beklerken ile ortak ve farklı özellikler -varoluşçu felsefe ekseninde- ele alınmış, her birindeki varoluş sembollerinin birbirine benzeyen ve ayrı yönleri tespit edilmiştir.
Deep Learning for Face Detection and Pain Assessment in Japanese macaques (Macaca fuscata)
Authors: Gris Vanessa N , Crespo Thomás R , Kaneko Akihisa , Okamoto Munehiro , Suzuki Juri , Teramae Jun-nosuke , Miyabe-Nishiwaki Takako 
Published: March 2024

AbstractFacial expressions have increasingly been used to assess emotional states in mammals. The recognition of pain in research animals is essential for their well-being and leads to more reliable research outcomes. Automating this process could contribute to early pain diagnosis and treatment. Artificial neural networks have become a popular option for image classification tasks in recent years due to the development of deep learning. In this study, we investigated the ability of a deep learning model to detect pain in Japanese macaques based on their facial expression. Thirty to 60 min of video footage from Japanese macaques undergoing laparotomy was used in the study. Macaques were recorded undisturbed in their cages before surgery (No Pain) and one day after the surgery before scheduled analgesia (Pain). Videos were processed for facial detection and image extraction with the algorithms RetinaFace (adding a bounding box around the face for image extraction) or Mask R-CNN (contouring the face for extraction). ResNet50 used 75% of the images to train systems; the other 25% were used for testing. Test accuracy varied from 48 to 54% after box extraction. The low accuracy of classification after box extraction was likely due to the incorporation of features that were not relevant for pain (for example, background, illumination, skin color, or objects in the enclosure). However, using contour extraction, preprocessing the images, and fine-tuning, the network resulted in 64% appropriate generalization. These results suggest that Mask R-CNN can be used for facial feature extractions and that the performance of the classifying model is relatively accurate for nonannotated single-frame images.
First-principles study of structural, electronic and magnetic properties of diluted magnetic semiconductor and superlattices based‏ on Cr-doped ZnS and ZnSe compounds in wurtzite-type crystal
Authors: Hadj Zoubir Miloud , Cheref Oualid , Merabet Mostefa , Benalia Salah-Eddine , Djoudi Lakhdar , Rached Djamel , Boucharef M. 
Published: March 2024

We performed first-principle calculations to investigate the structural, electronic, and magnetic properties of ZnS and ZnSe binary compounds, Zn0.5Cr0.5S and Zn0.5Cr0.5Se DMS alloys and (ZnS)2/Zn0.5Cr0.5Se and (ZnSe)2/Zn0.5Cr0.5S superlattices in the wurtzite structure using the full potential linear muffin–tin orbital (FP-LMTO) method. Features such as lattice constant, modulus of compressibility and its first derivative, spin-polarized band structures, total and local or partial electronic densities of states and magnetic properties were calculated. The electronic structure shows that Zn0.5Cr0.5S and Zn0.5Cr0.5Se DMS alloys and (ZnS)2/Zn0.5Cr0.5Se and (ZnSe)2/Zn0.5Cr0.5S superlattices are half-metallic ferromagnetic with 100% complete spin polarization. The total magnetic moments calculated show the same integer value of 4 µB, which confirms the ferromagnetic half-metallic behavior of these compounds. We found that the ferromagnetic state is stabilized by the p-d exchange associated with the double-exchange mechanism. Zn0.5Cr0.5S and Zn0.5Cr0.5Se DMS alloys and (ZnS)2/Zn0.5Cr0.5Se and (ZnSe)2/Zn0.5Cr0.5S superlattices are shown to be promising new candidates for applications in the fields of spintronics.
Use of a machine learning algorithm with a focus on spinopelvic parameters to predict development of symptomatic tethered cord after initial untethering surgery
Authors: Punchak Maria A. , Bond Kamila M. , Wathen Connor A. , Hollawell Madison L. , Zhao Chao , Sarris Christina , Flanders Tracy M. , Madsen Peter J. , Tucker Alexander M. , Heuer Gregory G. 
Published: March 2024

OBJECTIVE
Among patients with a history of prior lipomyelomeningocele repair, an association between increased lumbosacral angle (LSA) and cord retethering has been described. The authors sought to build a predictive algorithm to determine which complex tethered cord patients will develop the symptoms of spinal cord retethering after initial surgical repair with a focus on spinopelvic parameters.

METHODS
An electronic medical record database was reviewed to identify patients with complex tethered cord (e.g., lipomyelomeningocele, lipomyeloschisis, myelocystocele) who underwent detethering before 12 months of age between January 1, 2008, and June 30, 2022. Descriptive statistics were used to characterize the patient population. The Caret package in R was used to develop a machine learning model that predicted symptom development by using spinopelvic parameters.

RESULTS
A total of 72 patients were identified (28/72 [38.9%] were male). The most commonly observed dysraphism was lipomyelomeningocele (41/72 [56.9%]). The mean ± SD age at index MRI was 2.1 ± 2.2 months, at which time 87.5% of patients (63/72) were asymptomatic. The mean ± SD lumbar lordosis at the time of index MRI was 23.8° ± 11.1°, LSA was 36.5° ± 12.3°, sacral inclination was 30.4° ± 11.3°, and sacral slope was 23.0° ± 10.5°. Overall, 39.6% (25/63) of previously asymptomatic patients developed new symptoms during the mean ± SD follow-up period of 44.9 ± 47.2 months. In the recursive partitioning model, patients whose LSA increased at a rate ≥ 5.84°/year remained asymptomatic, whereas those with slower rates of LSA change experienced neurological decline (sensitivity 77.5%, specificity 84.9%, positive predictive value 88.9%, and negative predictive value 70.9%).

CONCLUSIONS
This is the first study to build a machine learning algorithm to predict symptom development of spinal cord retethering after initial surgical repair. The authors found that, after initial surgery, patients who demonstrate a slower rate of LSA change per year may be at risk of developing neurological symptoms.
Risk factors of emergency department visits following elective cervical and lumbar surgical procedures: a multi-institution analysis from the Michigan Spine Surgery Improvement Collaborative
Authors: Ogunsola Oludotun , Linzey Joseph R. , Zaki Mark M. , Chang Victor , Schultz Lonni R. , Springer Kylie , Abdulhak Muwaffak , Khalil Jad G. , Schwalb Jason M. , Aleem Ilyas , Nerenz David R. , Perez-Cruet Miguelangelo , Easton Richard , Soo Teck M. , Tong Doris , Park Paul 
Published: March 2024

OBJECTIVE
Emergency department visits 90 days after elective spinal surgery are relatively common, with rates ranging from 9% to 29%. Emergency visits are very costly, so their reduction is of importance. This study’s objective was to evaluate the reasons for emergency department visits and determine potentially modifiable risk factors.

METHODS
This study retrospectively reviewed data queried from the Michigan Spine Surgery Improvement Collaborative (MSSIC) registry from July 2020 to November 2021. MSSIC is a multicenter (28-hospital) registry of patients undergoing cervical and lumbar degenerative spinal surgery. Adult patients treated for elective cervical and/or lumbar spine surgery for degenerative pathology (spondylosis, intervertebral disc disease, low-grade spondylolisthesis) were included. Emergency department visits within 90 days of surgery (outcome measure) were analyzed utilizing univariate and multivariate regression analyses.

RESULTS
Of 16,224 patients, 2024 (12.5%) presented to the emergency department during the study period, most commonly for pain related to spinal surgery (31.5%), abdominal problems (15.8%), and pain unrelated to the spinal surgery (12.8%). On multivariate analysis, age (per 5-year increase) (relative risk [RR] 0.94, 95% CI 0.92–0.95), college education (RR 0.82, 95% CI 0.69–0.96), private insurance (RR 0.79, 95% CI 0.70–0.89), and preoperative ambulation status (RR 0.88, 95% CI 0.79–0.97) were associated with decreased emergency visits. Conversely, Black race (RR 1.30, 95% CI 1.13–1.51), current diabetes (RR 1.13, 95% CI 1.01–1.26), history of deep venous thromboembolism (RR 1.28, 95% CI 1.16–1.43), history of depression (RR 1.13, 95% CI 1.03–1.25), history of anxiety (RR 1.32, 95% CI 1.19–1.46), history of osteoporosis (RR 1.21, 95% CI 1.09–1.34), history of chronic obstructive pulmonary disease (RR 1.19, 95% CI 1.06–1.34), American Society of Anesthesiologists class > II (RR 1.18, 95% CI 1.08–1.29), and length of stay > 3 days (RR 1.29, 95% CI 1.16–1.44) were associated with increased emergency visits.

CONCLUSIONS
The most common reasons for emergency department visits were surgical pain, abdominal dysfunction, and pain unrelated to index spinal surgery. Increased focus on postoperative pain management and bowel regimen can potentially reduce emergency visits. The risks of diabetes, history of osteoporosis, depression, and anxiety are areas for additional preoperative screening.
Pediatric thoracic outlet syndrome: a systematic review and meta-analysis
Authors: Price Anthony , Fredricks Nathan , Truong Nina , North Robert Y. 
Published: March 2024

OBJECTIVE
Thoracic outlet syndrome (TOS) is a complex disorder affecting the neurovascular structures of the upper extremity as they traverse from the neck and thorax to the upper extremity. This systematic review and meta-analysis focuses on pediatric TOS, offering insights into its clinical presentation, etiology, treatment modalities, and outcomes in contrast to those reported in adult TOS.

METHODS
A comprehensive search for pediatric TOS in the PubMed database using PRISMA guidelines identified 6 relevant studies published between 2008 and 2022. In total, 227 pediatric TOS cases in 216 patients were analyzed. Data categories explored for TOS in pediatric patients included study design, number of patients included, mean age and sex of patients, TOS type, laterality, bony abnormalities, time to surgery, symptoms, treatment modalities, initial surgical technique, surgical complications, percent lost to follow-up, mean follow-up period, and treatment outcome.

RESULTS
The results from the 6 studies of 216 patients show a distinct pattern in pediatric TOS, with a 1.84:1 female-to-male ratio, a mean age of 15.49 years, and a lower prevalence of neurogenic TOS (75%, 95% CI 0.41–0.93; I2 = 86%, p < 0.01) compared with the prevailing literature on adults (87.5%–99%). Venous and arterial TOS accounted for a higher proportion of cases in pediatric patients than in adults, challenging the traditional adult-oriented perspective. Right-sided presentations were more common, reflecting right-arm dominance in most individuals. Additionally, bony abnormalities were more common in adults (30%) than in children (10.65%). Treatments involved mixed methods, predominantly using combinations of muscle resection (95.26%), neurolysis (78.02%), and bone resection (72.41%). Patients had high rates of symptom improvement (89%, 95% CI 0.67–0.97; I2 = 85%, p < 0.01) following surgery, with improvement of symptoms ranging from slight to complete relief. Complications were infrequent (5.66%), and most patients reported positive outcomes. The limitations of this analysis include subjective diagnostic and reporting criteria for TOS given its broad range of presentations.

CONCLUSIONS
This systematic review and meta-analysis brings to light the distinctive characteristics of pediatric TOS and underscores the importance of recognizing these differences to ensure accurate diagnosis and effective treatment in this patient population. Further research is needed to understand the predictive value of conservative treatments, especially in pediatric TOS cases.
STRATEGI PENGEMBANGAN DIGITAL MARKETING PADA PT. X DENGAN MENGGUNAKAN METODE SOSTAC
Authors: Simanjuntak Chrismasya Rosiana Tamara , Nazaruddin Nazaruddin , Wibowo Rulianda Purnomo 
Published: March 2024

Tujuan penelitian ini dilakukan untuk mengetahui strategi pengembangan digital marketing pada PT X dengan menggunakan Metode SOSTAC. Jenis penelitian ini adalah kualitatif deskriptif. Informan dalam penelitian ini adalah direktur, marketing manager terdiri masing –masing satu orang teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan studi dokumentasi (kepustakaan). Metode analisis data menggunakan pengumpulan data, reduksi data (data reduction) penyajian data (data display) dan penarikan kesimpulan (conclusion drawing) metode SOSTAC meliputi situation, objective, strategy, tactic, action, controlling yang merupakan sebuah sistem sebagai dasar untuk melaksanakan langkah-langkah dan menciptakan rencana serta digunakan sebagai metode dengan mempertimbangkan kelebihan dan kekurangan perusahaan serta memanfaatkan peluang dan mengurangi ancaman yang ada. Meningkatkan promosi melalui melalui marketplace dan whatsapp, PT X juga melakukan strategi yaitu berdasarkan STP (Segmentation, Targeting dan Positioning). Taktik yang dijalankan dalam strategi digital marketing adalah 4C marketing mix yang terdiri dari consumer value, cost to customer, convenience, communication. Actions (implementasi strategi) sampai saat ini PT X masih belum menggunakan biaya promosi untuk media sosial dan marketplace, strategi digital marketing masih belum berjalan sesuai dengan yang diharapkan, komunikasi masih satu arah, produk yang diposting masih belum banyak memberikan respon dari para konsumen maupun calon konsumen, untuk SDM media social kami masih memiliki keterbatasan baik mengenai ide-ide konten di media sosial maupun dalam membuat deskripsi di produk tersebut.
Peningkatan Pemahaman Matematika Dasar Materi Bilangan Cacah Melalui Game Edukasi 2d Menggunakan Metode Mdlc
Authors: Andri Yanto  , Ade Irma Purnamasari  , Raditya Danar Dana  , Tati Suprapti  , Cep Lukman Rohmat  
Published: March 2024

Ilmu matematika sangat penting dalam kehidupan sehari-hari terutama matematika bilangan cacah.Bilangan cacah dapat membantu anak untuk mengenal angka-angka,memudahkan dalam melakukan penghitungan matematika. Seiring berjalannya perkembangan teknologi anak-anak lebih suka bermain game dari pada untuk belajar, perkembangan game di dunia semakin pesat, termasuk di Indonesia. Game memegang fungsi yang cukup penting sebagai sarana hiburan atau juga pendidikan. Untuk karena itu peneliti membuat sebuah game edukasi tentang matematika dasar bilangan cacah dengan tujuan memudahkan anak SD kelas III untuk belajar bilangan cacah. Dengan adanya game edukasi, diharapka semangat anak untuk belajar akan lebih terpacu. Permainan dapat membuat anak senang dalam berhitung dan belajar matematika. Karena didalam game edukasi terdapat gambar yang muncul membuat anak tidak merasa bosan, karena sifat anak suka cepat jenuh. Game ini bertujuan untuk membuat kalangan anak-anak kelas 3 sekolah dasar lebih senang dalam belajar berhitung, memudahkan anak untuk belajar matematika bilangan cacah. Dari permasalah tersebut ditarik sebuah kesimpulan untuk memdapatkan sebuah solusi. Bahwa siswa-siswi membutuhkan media pembelajaran yang menarik terutama mengenai topik materi mata pelajaram yang sedang dibahas mengenai matematika bilangan cacah. Dengan membangun media pembelajaran pendukung berupa game edukasi matematika bilangan cacah sederhana.
Penerapan Metode Two-Step Cluster Untuk Pengelompokan Desa Berdasarkan Kepadatan Penduduk
Authors: Narasati Riri , Eka Permana Sandy , Kaslani Kaslani , Tohidi Edi , Iin Iin 
Published: March 2024

Kepadatan penduduk memiliki dampak yang signifikan terhadap kualitas hidup kota. Karena kepadatan penduduk yang tinggi banyak masalah yang muncul. Penduduk terus menerus dipengaruhi oleh jumlah bayi yang lahir (pertumbuhan penduduk), tetapi pada saat yang sama dikurangi dengan jumlah kematian yang terjadi pada semua kelompok umur. Pertumbuhan penduduk disebabkan oleh empat faktor yaitu kelahiran, kematian, imigrasi masuk, dan migrasi keluar. Ketika imigran masuk berjumlah banyak maka jumlah penduduk di suatu wilayah atau kota akan bertambah dan ketika imigran keluar bertambah maka sebaliknya yaitu jumlah penduduk pada suatu wilayah atau kota akan berkurang. Penelitian ini bertujuan untuk menganalisis tingkat kepadatan penduduk pada desa di Kabupaten Majalengka. Kabupaten Majalengka merupakan salah satu kabupaten yang ada di Jawa Barat. Seiring bertambahnya jumlah penduduk Majalengka setiap tahunnya, kepadatan penduduk di Kabupaten Majalengka cukup padat. Dalam penelitian ini, desa-desa di Kabupaten Majalengka di cluster menggunakan metode Two-Step Cluster. Two-Step Cluster adalah cara untuk menangani variabel kontinu dan kategorik dengan menggunakan indikator Bayesian Information Criterion (BIC), hasil dari jumlah cluster optimal diperoleh 4 cluster. Pada cluster tersebut terdapat cluster yang merupakan cluster terbaik yaitu terdapat pada cluster 3 dengan jumlah desa yaitu 15 desa dengan jumlah penduduk 6.862 Jiwa. Pengujian clustering dilakukan dengan metode silhoutte dan menunjukkan bahwa cluster yang dihasilkan memiliki nilai silhoutte yang mendapatkan nilai cukup yaitu 0,4. Hal ini menunjukkan bahwa cluster yang terbentuk telah ter-cluster dengan baik.
Media Informasi Prosedur Pengajuan Kredit Perbankan Berbasis Animasi 3D
Authors: Banut Selviana , Danar Dana Raditya 
Published: March 2024

Upaya mewujudkan pelayanan perbankan yang lebih baik dibutuhkan strategi perubahan sistem pelayanan. Salah satu upaya yang harus dilakukan adalah memperbaiki sistem dan prosedur pelayanan melalui program-program inovatif yang berorentasi pada kebutuhan dan kepuasan pelanggan. Prosedur pelayanan berupa pengajuan kredit yang dibutuhkan yaitu media informasi sebagai sarana pendukung dalam melayani nasabah di Bank Artha Graha. Dalam penelitian ini, masalah yang ditemukan adalah masih banyak nasabah yang belum memahami secara detail tentang alur dan persyaratan pengajuan kredit. Oleh karena itu rancangan yang dilakukan oleh peneliti dengan tema ‘Media Informasi Prosedur Pengajuan kredit Perbankan Berbasis Animasi 3D’, bertujuan untuk mengembangkan media informasi prosedur pengajuan kredit perbankan yang menarik dengan memanfaatkan teknologi multimedia dalam sebuah video animasi 3D
DSRO based data annotation with improved EfficientNet for forest fire detection using image processing in IoT environment
Authors: Asha V. , Kasturi Kalyan , Selvamuthukumaran N. , Sahu Amit Kumar , Anandhi R. J. 
Published: March 2024

<p>The increasing risk of forest fires demands sophisticated detection systems in order to mitigate the environment effectively. The technology under consideration enhances real-time monitoring and reaction by functioning inside an Internet of Things (IoT) architecture. Even though Artificial Intelligence (AI) algorithms have improved fire detection systems, they are quite expensive and energy-intensive due to their high computing needs. With the use of creative methods for data augmentation and optimization as well as a shared feature extraction module, this research study offers a thorough fire detection model using an improved EfficientNet that tackles these issues. Three technical components are creatively combined in the realm of forest fire detection by this study. The first stage is the use of diagonal swap of random (DSRO) data annotation, which makes use of spatial connections in the data to improve the model’s understanding of complex aspects that are essential for precisely identifying possible fire breakouts. By adding a shared feature extraction module across three functions, the second stage solves difficulties in feature extraction and target identification. This greatly increases the model’s performance in complicated forest scenes while reducing false positives and false negatives. The third and final stage focuses on improving the EfficientNet model’s capacity for accurate forest fire categorization. When taken as a whole, these technical components upon creative combination improve the existing technology in forest fire detection and provide a thorough and practical strategy for reducing environmental hazards. For the purpose of hyperparameter tuning in the EfficientNet for the classification of forest fires, an improved Harris Hawks optimization (HHO) is used. By using the Cauchy mutation approach with adaptive weight, HHO expands the search space, boosts population diversity, and improves overall exploration. By including the sine-cosine algorithm (SCA) into the optimization process, the likelihood of local extremum occurrences is decreased. The proposed strategy is successful compared to other existing models, as shown by the experimental findings that show an improvement of 5% in accuracy compared to the standard existing model, and an improvement of 2% compared to EfficientNet model in detecting forest fire.</p>