bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utility of trichoscopy in comparison to the standard methods for assessing the disease activity, severity, and therapeutic response in alopecia areata
Authors: Divyalakshmi C. , Hazarika Neirita , Bhatia Riti , Upadhyaya Amrita 
Published: June 2023

Objectives:
Alopecia areata (AA) is a common autoimmune hair disorder with variable disease activity and severity. Conventionally, hair pull test (HPT) and off late trichoscopy are used to diagnose and monitor disease course in AA. The aim of the study was to evaluate the use of trichoscope in monitoring the disease activity, severity, and therapeutic response in AA.

Material and Methods:
This was a hospital-based and longitudinal study. Consecutive patients with AA between March 2018 and February 2019 were included in the study. Baseline clinical examination, HPT, and trichoscopy of patients was done at baseline and adequate treatment initiated. Monthly follow-up for next 3 months was done to study response to treatment.

Results:
Black dots (BDs) (100%) were commonest trichoscopic feature followed by yellow dots (YDs) (93.5%). BDs, broken hairs (BHs), and short vellus hairs (SVH) had significant correlation with disease activity while all trichoscopic markers significantly correlated with disease severity. With each follow-up, mean values for YDs, BDs, and BHs were declining, while SVH was increasing steadily. The abatement of trichoscopic activity markers preceded the disappearance of a positive HPT.

Conclusion:
The abatement of trichoscopic markers of disease activity in AA preceded a negative HPT, highlighting the role of trichoscopy as a useful tool in monitoring therapeutic response.
Microbiological profile and role of streptokinase in empyema thoraces in children – A retrospective and observational study from a tertiary care teaching hospital from North Karnataka
Authors: Kanthi Apurva S. , Mithra C. A. Gopalakrishna , Ratageri Vinod H. 
Published: June 2023

Objectives:
Paediatric empyema thoracis causes significant childhood morbidity and mortality over the years. The organisms causing empyema are varying. The role of streptokinase in management is still not clear. Hence, we undertook this study to find the profile of organisms and role of streptokinase in our cases.

Materials and Methods:
A retrospective study was conducted at the Department of Pediatrics, Karnataka Institute of Medical Sciences (KIMS), Hubli from 2017 to 2019. All children aged 2 months–12 years with empyema included. Case sheets were collected from medical records department. The detailed demographic, clinical history, examination findings and treatment received were recorded and entered in a pre-designed performa with a special emphasis on streptokinase usage including indications, dose and outcome. Institution ethical clearance was obtained from Institute Review Board (IRB).

Results:
Thirty-three children fulfilled inclusion criteria during the study period. Mean age was 5.25 ± 1.14 years with male to female ratio of 1.2:1. Most common age group was 1–5 years (39.39%). Clinical manifestations at presentation were fever 100% (33), cough 87.8% (29), dyspnoea 78.78% (26) and intercostal bulge 36.36% (12). Staphylococcus aureus (54.54%) and Streptococcus pneumonia (18.18%) were the most common organisms isolated in pleural fluid. However, blood culture was positive in only one child (non-fermenting Gram-negative bacilli). Fourteen (35%) children received streptokinase. Among those subjects who received streptokinase, 100% were improved as compared to who did not receive (11.5% mortality); however, there was no statistical significance. Although there was decreased duration of hospital stay in streptokinase group (13.79 ± 4.51 vs. 14.73 ± 8.26 days), again this was not statistically significant.

Conclusion:
The most common organism causing empyema was S. aureus. Although use of streptokinase showed better outcome and decreased duration of hospital stay, this was not statistically significant.
PEMANFAATAN KOLAM TANAH DI LAHAN RAWA UNTUK PEMBESARAN IKAN GABUS DI SMK NEGERI 1 OGAN ILIR
Authors: Mulyani Rahma , Sumantriyadi Sumantriyadi , Sari Lia Perwita , Nugraha Sujaka , Mayasari Santi , Humairani Humairani 
Published: June 2023

Di Indonesia potensi ikan Gabus sangat tinggi, khususnya di Sumatera Selatan. Lahan rawa di Indonesia memiliki potensi yang besar untuk dapat dikembangkan sebagai lahan yang dimanfaatkan untuk sektor perikanan. Ikan gabus dapat dibudidayakan di lahan perairan rawa. Tujuan dari kegiatan PKM ini, diharapkan dapat memberikan edukasi serta informasi bagi para guru maupun siswa-siswi tentang bagaimana pemanfaatan lahan rawa sebagi tempat budi daya ikan gabus. Metode yang digunakan yaitu tahap observasi dan persiapan, tahap koordinasi, tahap persiapan alat dan bahan, dan terakhir tahap pelaksanaan kegiatan PKM. Hasil kegiatan PKM Khalayak sasaran dalam kegiatan Pengabdian Kepada Masyarakat yang telah dilakukan secara umum adalah masyarakat yang secara khusus ditujukan kepada Siswa/i dan Guru di SMK Negeri 1 Inderalaya Selatan Kabupaten Ogan Ilir yang secara spesifik telah diikuti sebanyak 60 orang. Pada saat pelaksanaan Kegiatan PKM ini, kegiatan dilaksanakan dalam 3 kegiatan besar, yang pertama adalah sambutan dari kepala Sekolah SMK N 1 Ogan Ilir dan dilanjutkan dengan Ketua Tim PKL, pada sesi kedua dilanjutkan dengan sesi pemaparan 6 materi dan yang terakhir adalah kegiatan demonstrasi atau praktik pengukuran kualitas air rawa yang ada dilingkungan sekolahvsekaligus sosialisasi prodi budi daya ikan. Hasil PKM ini dimanfaatkan dalam meningkatkan animo dan pengetahuan siswa untuk megetahui lebih jauh tentang memanfaatan lahan rawa yang sering kali terabaikan di daerah tersebut dan tentunya dapat memberikan pengenalan prodi budi daya ikan sebagai wadah untuk menggali ilmu dan kemampuan untuk memperkaya wawasan tentang budi daya ikan. Dari hasil kegiatan PKM ini sebanyak 60 peserta yang telah diberikan edukasi tentang pemanfaatan lahan rawa untuk budidaya ikan gabus menunjukkan hasil pemahaman yang meningkat terhadap materi yang diberikan dibandingkan dengan sebelum adanya edukasi.
Utilization of Daker (Buffalo Dadih) as A Natural Mask to Prevent Acne and Brighten The Face
Authors: Kurnia Dihan , Lefiana Delli , Sari Devi Kumala 
Published: June 2023

This study aims to determine the effect of adding coffee and tea powder to the quality of mask products from buffalo dadih. This study was conducted in the quality control laboratory of Payakumbuh State Agricultural Polytechnic University from July 16 to September 15, 2022.Â The mask is made with a dilution using 1:1 aquadest. Furthermore, the daker was added with 5% coffee and tea powder, with the following treatment MD0 mask without the addition of coffee and tea, MD1 5% coffee powder addition, MD2 5% tea powder addition. Analysis of the quality of Daker masks: antioxidant activity, inhibition and growth of acne bacteria, And pH value. This study's results indicate that adding coffee and tea powder has antioxidants ranging from 29.93-55.60 ppm. This Buffalo dadih (DAKER) mask has a pH between 5.33-5.44 which does not irritate the skin. At the same time, this curd mask has an inhibition range from 10.00-11.23 mm. The addition of coffee and tea powder did not significantly affect the resistance of P. acne bacteria and pH but increased the antioxidant activity value of the DAKER mask.
Recent Advances in Additive Manufacturing of High Strength 7000 Series Aluminum
Authors: Martin John H. , Yahata Brennan D. , Clough Eric C. , Mone Robert D. , Mayer Justin A. , Stonkevitch Ekaterina , Schubert Randall C. , Miller Julie A. , Hundley Jacob M. , Schaedler Tobias A. , Pollock Tresa M. 
Published: June 2023

Abstract
A new process called nanofunctionalization was successfully used to control the solidifying microstructure during additive manufacturing and produce crack-free 7000 and 6000 series aluminum alloys for the first time.
Ion Milling Maximizes EBSD Sensitivity for Studying Metallographic Samples
Authors: Thompson Keith 
Published: June 2023

Abstract
Because electron backscatter diffraction is a surface-sensitive technique, preparing the sample surface so that it is smooth and free of defects is crucial to successful analysis. Supplementing hand polishing with ion milling provides a superior surface finish free of operator or technique-related errors, thus enabling a high-confidence EBSD examination of the microstructure of even the most complex materials.
Using Physical Vapor Deposition to Optimize Surface Properties
Authors: Bell David , Khominich Viktor , Midson Steve 
Published: June 2023

Abstract
Thin film cathodic arc PVD coatings offer an easy and economical way to optimize surface properties without changing bulk performance. This article describes a modified cathodic arc process called arc plasma acceleration (APA), which enables production of high density, thin film coatings containing minimal macroparticles.
Nonlinear Models Speed Development of Cross-Linked Polyethylene Foam
Authors: Bulsari Abhay , Talja Markku 
Published: June 2023

Abstract
Cross-linked low density polyethylene (LDPE) foams are used for applications such as packaging and thermal insulation. Relating composition, process, and dimensional variables with materials properties using nonlinear modeling provides a valuable tool for efficient LDPE materials and product development.
Novel Polymers for Use in Total Joint Arthroplasty
Authors: Seal Sudipta , Singh Sushant , Crawford Kaitlyn , Brisbois Elizabeth , Coathup Melanie 
Published: June 2023

Abstract
Improving the mechanical properties and wear resistance of polymers used as implant bearing materials requires new approaches and modern technology. This article describes recent work on translating novel materials and coatings into clinical practice to reduce risks and significantly improve orthopedic implant fixation and longevity.
Effect of Martensite Transformation on Residual Stress in Stamped Austenitic Stainless Steel Sheet
Authors: Deng Xiao-Ting , Cheng Ming , Zhang Shi-Hong , Song Hong-Wu , Liu Jin-Song 
Published: June 2023

Abstract
Deformation-induced martensite phase transformation during room temperature forming of austenitic stainless steel leads to higher residual stress. This article discusses the results of a study to determine the relationship between deformation-induced martensite phase transformation and residual stress in AISI Type 304 austenitic stainless steel (nominal 18% Cr, 8% Ni) after stamping.
Training the Next Generation of Surface Engineers and Technologists
Authors: Ang Andrew S.M. , Berndt Christopher C. 
Published: June 2023

Abstract
The Australian Research Council is funding a new training center in Surface Engineering for Advanced Materials (SEAM) based in Melbourne, Australia. This article describes the research, development, and educational objectives of the new center, which aims to solve crucial surface engineering problems, such as their design, fabrication, testing, analysis, and pathways towards value-added applications.
APLIKASI PENGELOLAAN DATA SERVIS PADA ASUS CUSTOMER SERVICE CENTER BANJARMASIN
Authors: Wagino Wagino 
Published: June 2023

Selama ini Pengolahan data servis pada Asus Customer Service Center Banjarmasin masih menggunakan cara sederhana, misalnya dalam pengelolaan data servis masih menggunakan excel dan juga buku besar, sehingga mengakibatkan beberapa masalah yang muncul diantaranya pengolahan data servis menjadi lambat yang mengakibatkan keterlambatan dalam pengolahan data servis. Penelitian ini membuat suatu aplikasi pengolahan data servis berbasis WEB yang bertujuan untuk mengelola data servis serta data spare part pada Asus Customer Service Center Banjarmasin. Proses pembuatan aplikasi pengolahan data servis ini menggunakan bahasa pemograman PHP dan database menggunakan MySQL dan juga aplikasi Dreamweaver sebagai tools yang digunakan sebagai tools tambahan. Hasil aplikasi yang dibuat yaitu membantu pengelolaan data servis maupun data sparepart dan juga mampu menangani permasalahan-permasalahan yang selama ini di alami oleh Asus Customer Service Center Banjarmasin, serta memberikan kemudahan bagi karyawan atau juga pengguna lain dalam proses pencatatan, penyimpanan, dan pencarian data agar lebih cepat, tepat dan akurat. Kata Kunci : WEB, Adobe Dreamweaver, PHP, MySQL
MENINGKATKAN KEMAMPUAN MENGHAFAL PERKALIAN DENGAN MENGGUNAKAN METODE DRILL
Authors: Rukmini  , Nurhidayah  , Said  
Published: June 2023

Penelitian ini dilatarbelakangi oleh peserta didik kelas VII rata-rata belum paham perkalian dasar. Hal ini disebabkan mereka kurang mampu dengan metode menghafal. Dari hasil evaluasi ulangan harian semester 1 tahun ajaran 2022/2023 dan hasil wawancara guru matematika mereka hanya 41,2% siswa yang hasil belajarnya 2 diatas KKM (Kriteria Ketuntasan Minimal) yang telah ditentukan yaitu 65 dan keaktifannya hanya 38% di dibawah indikator yang ditentukan yaitu 75%. Tujuan penelitian ini untuk mengetahui peningkatan kemampuan hafalan perkalian peserta didik Kelas VII SMP Negeri 5 Tinambung. Jenis penelitian yang digunakan dalam penelitian ini yaitu Penelitian Tindakan Kelas dengan menggunakan 2 siklus. Hasil penelitian menunjukkan bahwa terjadi peningkatan kemampuan menghafal perkalian peserta didik kelas VII setelah siklus 2 dengan menggunakan metode Drill. Pada siklus I diperoleh nilai 50,68% dengan kategori cukup dan pada siklus II diperoleh nilai 80,47% dengan kateri sangat baik atau kategori kuat. Ada 14 orang siswa yang mencapai nilai ketuntasan dengan kategori kuat dengan presentasi 80,47%. Sedangkan siswa yang belum mencapai nilai ketuntasan berjumlah 5 orang dengan kategori cukup dengan presentasi 50,68%. Seluruh nilai siswa memenuhi nilai ketuntasan yang ideal yaitu 70-100. Peningkatan tergambar pada setiap siklus dan terjadi peningkatan secara signifikan dari setiap siklus.
Predicting traumatic brain injury outcomes using a posterior dominant rhythm
Authors: Cleri Nathaniel A. , Saadon Jordan R. , Zheng Xuwen , Swarna Sujith A. , Zhang Jason , Vagal Vaibhav , Wang Cassie , Kleyner Robert S. , Mikell Charles B. , Mofakham Sima 
Published: June 2023

OBJECTIVE
Predicting severe traumatic brain injury (sTBI) outcomes is challenging, and existing models have limited applicability to individual patients. This study aimed to identify metrics that could predict recovery following sTBI. The researchers strived to demonstrate that a posterior dominant rhythm on electroencephalography is strongly associated with positive outcomes and to develop a novel machine learning–based model that accurately forecasts the return of consciousness.

METHODS
In this retrospective study, the authors assessed all intubated adults admitted with sTBI (Glasgow Coma Scale [GCS] score ≤ 8) from 2010 to 2021, who underwent EEG recording < 30 days from sTBI (n = 195). Seventy-three clinical, radiographic, and EEG variables were collected. Based on the presence of a PDR within 30 days of injury, two cohorts were created—those with a PDR (PDR[+] cohort, n = 51) and those without (PDR[−] cohort, n = 144)—to assess differences in presentation and four outcomes: in-hospital survival, recovery of command following, Glasgow Outcome Scale–Extended (GOS-E) score at discharge, and GOS-E score at 6 months post discharge. AutoScore, a machine learning–based clinical score generator that selects and assigns weights to important predictive variables, was used to create a prognostic model that predicts in-hospital survival and recovery of command following. Lastly, the MRC-CRASH and IMPACT traumatic brain injury predictive models were used to compare expected patient outcomes with true outcomes.

RESULTS
At presentation, the PDR(−) cohort had a lower mean GCS motor subscore (1.97 vs 2.45, p = 0.048). Despite no difference in predicted outcomes (via MRC-CRASH and IMPACT), the PDR(+) cohort had superior rates of in-hospital survival (84.3% vs 63.9%, p = 0.007), recovery of command following (76.5% vs 53.5%, p = 0.004), and mean discharge GOS-E score (3.00 vs 2.39, p = 0.006). There was no difference in the 6-month GOS-E score. AutoScore was then used to identify the 7 following variables that were highly predictive of in-hospital survival and recovery of command: age, body mass index, systolic blood pressure, pupil reactivity, blood glucose, and hemoglobin (all at presentation), and a PDR on EEG. This model had excellent discrimination for predicting in-hospital survival (area under the curve [AUC] 0.815) and recovery of command following (AUC 0.700).

CONCLUSIONS
A PDR on EEG in sTBI patients predicts favorable outcomes. The authors’ prognostic model has strong accuracy in predicting these outcomes, and performed better than previously reported models. The authors’ model can be valuable in clinical decision-making as well as counseling families following these types of injuries.
Measurement of interspinous motion in dynamic cervical radiographs using a deep learning–based segmentation model
Authors: Ham Dae-Woong , Choi Yang-seon , Yoo Yisack , Park Sang-Min , Song Kwang-Sup 
Published: June 2023

OBJECTIVE
Interspinous motion (ISM) is a representative method for evaluating the functional fusion status following anterior cervical discectomy and fusion (ACDF) surgery, but the associated measuring difficulty and potential errors in the clinical setting remain concerns. The aim of this study was to investigate the feasibility of a deep learning–based segmentation model for measuring ISM in patients who underwent ACDF surgery.

METHODS
This study is a retrospective analysis of flexion-extension dynamic cervical radiographs from a single institution and a validation of a convolutional neural network (CNN)–based artificial intelligence (AI) algorithm for measuring ISM. Data from 150 lateral cervical radiographs from the normal adult population were used to train the AI algorithm. A total of 106 pairs of dynamic flexion-extension radiographs from patients who underwent ACDF at a single institution were analyzed and validated for measuring ISM. To evaluate the agreement power between human experts and the AI algorithm, the authors assessed the interrater reliability using the intraclass correlation coefficient and root mean square error (RMSE) and performed a Bland-Altman plot analysis. They processed 106 pairs of radiographs from ACDF patients into the AI algorithm for autosegmenting the spinous process created using 150 normal population radiographs. The algorithm automatically segmented the spinous process and converted it to a binary large object (BLOB) image. The rightmost coordinate value of each spinous process from the BLOB image was extracted, and the pixel distance between the upper and lower spinous process coordinate value was calculated. The AI-measured ISM was calculated by multiplying the pixel distance by the pixel spacing value included in the DICOM tag of each radiograph.

RESULTS
The AI algorithm showed a favorable prediction power for detecting spinous processes with an accuracy of 99.2% in the test set radiographs. The interrater reliability between the human and AI algorithm of ISM was 0.88 (95% CI 0.83–0.91), and its RMSE was 0.68. In the Bland-Altman plot analysis, the 95% limit of interrater differences ranged from 0.11 to 1.36 mm, and a few observations were outside the 95% limit. The mean difference between observers was 0.02 ± 0.68 mm.

CONCLUSIONS
This novel CNN-based autosegmentation algorithm for measuring ISM in dynamic cervical radiographs showed strong agreement power to expert human raters and could help clinicians to evaluate segmental motion following ACDF surgery in clinical settings.
Penerapan Metode Problem Solving untuk Meningkatkan Hasil Belajar IPA Kelas V SDN 53 Kuranji Kota Padang
Authors: Fitrisyahni Suci , Gustia Ningsih Ayu 
Published: June 2023

Latar belakang penelitian tindakan kelas ini adalah rendahnya aktifitas dan hasi belajar siswa pada pembelajaran IPA kelas V di SDN 53 Kuranji, serta guru belum menerapkan metode problem solving dalam pembelajaran IPA. Tujuan penelitian ini yaitu untuk mengetahui peningkatan aktifitas dan hasil belajar siswa dalam pembelajaran IPA kelas V SDN 53 Kuranji melalui penerapan metode problem solving. Penelitian ini adalah penelitian tindakan kelas (class action research) yang dilaksanakan dalam tiga siklus dengan empat tahapan yaitu perencanaan, tindakan, pengamatan dan refleksi. Penelitian ini dilaksanakan dengan kolaborasi antara peneliti, kolaborator dan melibatkan partisipasi siswa. Teknik pengumpulan data yang digunakan adalah observasi dan tes, dengan sumber datanya siswa kelas V SDN 53 Kuranji yang berjumlah 31 siswa. Hasil penelitian menunjukkan bahwa pembelajaran dengan menerapkan metode problem solving dapat meningkatkan aktifitas dan hasil belajar siswa kelas V SDN 53 Kuranji karena siswa secara aktif bekerjasama menyelesaikan masalah dalam kelompok sehingga siswa yang mempunyai kemampuan rendah ikut termotivasi belajar. Siswa yang mempunyai kemampuan yang tinggi dapat membantu teman kelompoknya dalam menyelesaikan tugas-tugas yang diberikan oleh guru. Hal ini terlihat dari peningkatan hasil belajar siswa diperoleh pada siklus I yakni rata-rata 65,16, lalu pada siklus II rata-rata yang diperoleh 70,16, dan pada siklus III rata-ratanya meningkat menjadi 7,.97. Jadi metode problem solving dapat meningkatkan hasil belajar peserta didik.

Kata Kunci : Metode problem solving, Aktifitas belajar, Hasil belajar IPA
PEMUTUSAN KONTRAK KERJA AKIBAT PANDEMI COVID-19 DIHUBUNGKAN DENGAN PASAL 164 UNDANG-UNDANG NOMOR 13 TAHUN 2003 TENTANG KETENAGAKERJAAN
Authors: Sudibyo Wilda Oktavianingrum , Sudibyo Ateng 
Published: June 2023

Everycitizen has the right to a decent job and livelihood for humanity, but the willingness of employment is so limited that not everyone gets the same luck in getting a job, especially in the field of formal work such as factory workers, office employees, people with professional work and others. With the Covid-19 pandemic in Indonesia, there are so many terminations carried out by employers, so that more and more citizens do not have jobs.
This research uses a normative juridical approach andthe current research is descriptive analytical. Data collection is carried out through literature studies in order to obtain secondary data, both in the form of primary legal materials, secondary legal materials, and tertiary legal materials. The technical analysis used in this study is a qualitative analysis technique.
Based on the results of the study, it is known that termination of employment can be carried out if the company closes due to compelling circumstances caused by the spread of Covid-19, but fortermination of employment must be carried out inaccordancewith the provisions of Article 164 Undang-U ndang Number 13 of 2003 concerning K Employment, but if a company experiences difficulties that can have an effect on employment, then termination must be a last resort. Arbitrary layoffs of workers in any situation, including in the covid-19 pandemic situation, are basically not allowed and legal remedies that can be made in the settlement of industrial relations disputes include through bipartait settlements, mediation, conciliation, arbitration, and industrial relations courts.