bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of Relapse and Survival in Testicular Germ cell Tumors in Children
Authors: Ali Sajid , Tariq Latif  , Muhammad ali  , Shazia perveen  , Muhammad bilal shafiq  , Muhammad abu bakr  
Published: April 2023

Background: Testicular germ cell tumors are common solid organ malignancies in children with a survival rate of more than 90 %. This study aims to assess the predictors of relapse and survival in testicular germ cell tumors in children.
Methodology: A retrospective review was conducted on children up to the age of 18-years from January 2010 to December 2020 with a diagnosis of primary testicular germ cell tumors. Factors related to relapse and survival like age, baseline levels of tumor markers in serum and on relapse, stage at diagnosis, histological type, tumor laterality & size of the tumor in testicular germ cell tumors were analyzed. The data was entered into SPSS version 20. Statistical significance was set at a p-value ≤0.05.
Results: A total of 115 patients with a mean age of 5.42+ 1.54 years having testicular germ cell tumor were treated. Seventeen patients (14.7 %) had relapse of disease. Relapse was highest in patients with stage I disease (64.7 %). Yolk sac tumor was the most common pathology that was noted in twelve (70 %) patients. The most common site of relapse was the retroperitoneum (70 %). Age of patient, stage of disease, and lymphovascular invasion were significant predictors of relapse and survival in testicular germ cell tumors.
Conclusion: Management of patients with testicular germ cell tumors requires standardized follow-up protocol for early detection and treatment of disease relapse. Complete surgical excision with meticulous control of the residual disease is critical to prevent disease relapse.
Keywords: Chemotherapy, Children, Outcome, Relapse, Testicular Tumor
Atomic layer deposition and its derivatives for extreme ultraviolet (EUV) photoresist applications
Authors: Le Dan N. , Park Taehee , Hwang Su Min , Kim Jin-Hyun , Jung Yong Chan , Tiwale Nikhil , Subramanian Ashwanth , Lee Won-Il , Choi Rino , Sung Myung M. , Nam Chang-Yong , Kim Jiyoung 
Published: April 2023

Abstract
Solution-processed photoresists have been forerunners in semiconductor patterning for decades. Even with the drastic reduction in photolithography wavelength, traditional spin-on resists still support the fabrication of the most advanced, sub-5 nm node logic and memory devices using EUV lithography (EUVL) (λ = 13.5 nm). However, trade-off between resolution, sensitivity, and roughness in the conventional resists pose a critical challenge in the race towards device downscaling to 1 nm node. While great efforts are being made to improve spin-on EUV photoresist performance, there has been emergence of new approaches focused on developing novel resists via vapor-phase processing routes, such as atomic layer deposition (ALD) and its analogs. This review summarizes recent advances in EUVL photoresist development based on ALD and its derivative techniques, which include ALD-based inorganic–organic dry resists and hybrid resists synthesized by infiltrating conventional spin-on resists. Despite being in the early stage, initial studies have shown the great potential of ALD applications in EUVL photoresist development.
The EmoPain@Home Dataset: Capturing Pain Level and Activity Recognition for People with Chronic Pain in Their Homes
Authors: Olugbade Temitayo , Buono Raffaele , Potapov Kyrill , Bujorianu Alex , Williams Amanda , de Ossorno Garcia Santiago , Gold Nicolas , Holloway Catherine , Berthouze Nadia 
Published: April 2023

<p>Chronic pain is a prevalent condition where fear of movement and pain interferes with everyday functioning. Yet, there is no open body movement dataset for people with chronic pain in everyday settings. Our EmoPain@Home dataset addresses this with capture from people with and without chronic pain in their homes, while they performed their routine activities. The data includes labels for pain, worry, and movement confidence continuously recorded for activity instances for the people with chronic pain. We explored two-level pain detection based on this dataset and obtained 0.62 mean F1 score. However, extension of the dataset led to deterioration in performance confirming high variability in pain expressions for real world settings. We investigated activity recognition for this setting as a first step in exploring the use of the activity label as contextual information for improving pain level classification performance. We obtained mean F1 score of 0.43 for 9 activity types, highlighting its feasibility. Further exploration, however, showed that data from healthy people cannot be easily leveraged for improving performance because worry and low confidence alter activity strategies for people with chronic pain. Our dataset and findings lay critical groundwork for automatic assessment of pain experience and behaviour in the wild. </p>
Performance Analysis of Gasoline Engine with Different Ethanol Blends
Authors: Kumar Venktesh 
Published: April 2023

<p>The rapidly growing consumption of petroleum-based fuels causes the government to expend a significant source of foreign currency on oil imports, which impacts the trade deficit in the government's current account. The purpose of the feasibility is to see how unleaded fuel blends impact the performance of an unmodified engine operating on numerous blends. This testing was performed using a four-stroke, single-cylinder, water-cooled multi-fuel engine (Computer controlled variable compression ratio multi-fuel injection, kirloskar type engine) with a carburetor fuel injection system. Multiple parameters such as brake thermal efficiency, brake power, engine torque, brake mean effective pressure, and brake specific fuel consumption were assessed throughout the benchmarks.Regular unleaded blends with multiple fuel proportions have been used in these investigations. Six ethanol blend fuels were tested and their physical and chemical characteristics were analyzed, with 90 octane numbers achieved using unleaded fuel at E0, E5, E10, E20, and E40, along with variations in compression ratio. Research experiments were carried out at various different pressure ratios of 10.5:1 and 12:1, with engine speed calibrated to 1500 rpm. The findings demonstrate that blending unleaded fuel with a fraction of ethanol enhances the efficiency of the engine, such as brake power, torque, and brake thermal efficiencies and fuel consumption, thereby reducing brake specific fuel consumption. While compared to other proportions, the E20 (Ethanol 20%) ratio delivered the best brake power versus speed. </p>
Virtual Reality Training of Social Skills in Autism Spectrum Disorder: An Examination of Acceptability, Usability, User Experience, Social Skills, and Executive Functions.
Authors: Kourtesis Panagiotis , Kouklari Evangelia-Chrysanthi , Roussos Petros , Mantas Vasileios , Papanikolaou Katerina , Skaloumbakas Christos , Pehlivanidis Artemios 
Published: April 2023

<p>Poor social skills in autism spectrum disorder (ASD) are associated with reduced independence in daily life. Current interventions for improving the social skills of individuals with ASD fail to represent the complexity of real-life social settings and situations. Virtual reality (VR) may facilitate social skills training in social environments and situations proximal to real life, however, more research is needed for elucidating aspects such as the acceptability, usability, and user experience of VR systems in ASD. Twenty-five participants with ASD attended a neuropsychological evaluation and three sessions of VR social skills training, incorporating 5 social scenarios with three difficulty levels for each. Participants reported high acceptability, system usability, and user experience. Significant correlations were observed between performance in social scenarios, self-reports, and executive functions. Working memory and planning ability were significant predictors of functionality level in ASD and the VR system’s perceived usability respectively. Yet, performance in social scenarios was the best predictor of usability, acceptability, and functionality level in ASD. Planning ability substantially predicted performance in social scenarios, postulating an implication in social skills. Immersive VR social skills training appears effective in individuals with ASD, yet an error-less approach, which is adaptive to the individual’s needs, should be preferred. </p>
SPICE Simulation of Quantum Transport in Al2O3/HfO2-Based Antifuse Memory Cells
Authors: Miranda Enrique , Aguirre Fernando , Saludes Mercedes , Gonzalez Mireia B. , campabadal Francesca , Suñé Jordi 
Published: April 2023

<p> This letter reports a compact SPICE model for the electron transport characteristics of Al2O3/HfO2-based nanolaminates for their use in multilevel one-time programmable (M-OTP) memories. The model comprises three simulation blocks corresponding to the electrical stimulus applied to the device, the equivalent circuit of the memory cell, and the events generator associated with the dielectric breakdown of the insulating layer. For a clear assessment of the quantum effects occurring in these structures, constant voltage stress was used as the primary electrical stimulus. The antifuse (AF) cell is represented by a combination of series and parallel resistances that account for the formation of filamentary conducting paths with quantum properties across the structure. The arrival of successive breakdown events is simulated using a power-law nonhomogeneous Poisson process. </p>
A Study to Assess the Maternal Factors Leading to Low Birth Weight Babies in Selected Hospitals of Pune-India
Authors: Mathew Shaila , Karim Kafia Hashim 
Published: April 2023

Background: The birth weight of an infant is the single most important determinate of its chances of the survival, health growth and development.
Objectives: Assessment of maternal factors leading to low birth weight babies and Associate it with some demographic variable of the babies.
Methodology: Non-experimental exploratory survey research was conducted in Jun 20th to Dec 31st 2011 in India. A Non-probability convenient sample consists of 100 postnatal mothers who delivered low birth weight babies were selected from Pune Hospitals. The tool used for data collection is a structured questionnaire consisted from two sections: 1- Maternal factors and 2- Demographic variables. Content validity of the tools determined by a panel of experts. Reliability was determined by rational equivalence test. Both descriptive and inferential statistics were used for data analysis.
Results: The results of current study reveals that there were high significant association between medicines taken during pregnancy with gestational age, a significant association between maternal factors like weight gain during pregnancy with gestational age, a significant association between maternal factors like iron and folic acid during pregnancy with gestational age. There is no significant association among other factors.
Conclusion: Researcher concluded that maternal factors (Personal, Biological, Nutritional, History of disease, Psychological and Social factors) can affect the weight of the babies.
Recommendations: Further studies need to be conducted among antenatal and postnatal women.
Multimodality Echocardiographic Imaging for a Novel Transcatheter Native Mitral Valve Replacement Procedure
Authors: Galzerano Domenico , Alamro Bandar , Moreo Antonella , Bossone Edoardo , Vriz Olga , Alenazy Ali , Alshehri Ahmed , Al Amri Mohammed , Alhamshari Ahmad , Al Sergani Hani 
Published: April 2023

ABSTRACT
Transcatheter native mitral valve replacement (TMVR) is a novel procedure that has the potential to overcome some of the current limitations associated with the transcatheter edge-to-edge mitral valve (MV) repair technique. The aim of this study was to describe the key steps in periprocedural echocardiographic guidance of TMVR with the Tendyne system, emphasizing potential caveats and areas of difficulty. The imaging pathway can be schematized in four fundamental steps: baseline evaluation of mitral regurgitation (MR), preprocedural screening and planning, intraprocedural guidance, and follow-up. Baseline evaluation of MR in TMVR includes the guidelines-recommended imaging pathway of MR assessment. A dedicated preprocedure cardiac multimodality imaging screening and planning for TMVR is able to determine patient eligibility according to the anatomic characteristics and measurements, provide information for appropriate valve sizing, and detect features that can predispose to potential hazard or complications. Cardiac computed tomography and two-dimensional (2D) and three-dimensional (3D) transesophageal echocardiography (TEE) are the main actors in this phase. The road map for intraprocedural TMVR guidance includes the following: (1) apical access assessment: 2D TEE assessment of the site for optimal left ventricular apical access as planned by the preprocedural computed tomography; (2) support for catheter and sheath localization, trajectory, and positioning; and (3) valve positioning and radial orientation. Thereafter, the prosthesis is withdrawn toward the left ventricle and deployed intra-annularly. Post-deployment includes assessment for correct clocking and hemodynamics, perivalvular leakage, and left ventricular outflow tract obstruction. Two-dimensional and 3D TEE and fluoroscopy provide intraprocedural guidance. The follow-up of the Tendyne device includes the guidelines-recommended imaging pathway of bioprosthesis. Knowledge of multimodality imaging use is key for the interventional imagers and crucial in the success of the procedure.
KLASIFIKASI RISIKO KEMATIAN PASIEN BERDASARKAN PENYAKIT PENYERTA DAN USIA PASIEN MENGGUNAKAN METODE C4.5
Authors: Fery bayu aji  , Fajri Rakhmat Umbara  , Fatan  Kasyidi  
Published: April 2023

Tingginya angka kematian pada orang yang menderita penyakit tertentu, maka kami melakukan penelitian ini. Untuk mengetahui pasien dengan risiko kematian tinggi atau rendah. Maka dilakukannya klasifikasi risiko kematian pasien berdasarkan usia dan penyakit penyerta pasien dengan menggunakan decision tree algoritma c4.5. Algoritma C4.5 digunakan untuk menemukan pola menentukan data tersebut masuk kedalam kelas mana dengan menggunakan data latih dan data uji digunakan untuk evaluasi. Hasil pengujian akurasi menggunakan Confusion Matrix dengan pembagian data, data latih 70% data data uji 30% mengghasilkan 72% sementara dengan pembagian data, data latih 80% data data uji 20% menghasilkan akurasi sebesar 70%. Dengan menggunakan model pembagian data, data latih 70% data data uji 30% lebih unggul dibanding data latih 80% data data uji 20%. Semantara akurasi yang dihasilkan dengan metode pemotongan pohon atau pruning dapat menurunkan akurasi dengan hasil akurasi sebesar 66%. Dan berdasarkan pohon keputusan yang dihasilkan tanpa pruning menghasilkan kedalaman pohon sebanyak 11 level.
The Correlation between Critical Thinking Skills and Argumentative Writing Skills in Moroccan Higher Education
Authors: Beniche Mounir 
Published: April 2023

The aim of this study is to examine the correlation between two major variables which are critical thinking skills and argumentative writing skills in Moroccan higher education. The participants were Semester 4 and Semester 6 students (English department, Faculty of Languages, Letters and Arts Ibn Tofail Universty, Kenitra). 100 students participated in the study. 50 students from semester 4 and 50 students from semester 6. The study resorted to the correlation design for measuring the degree of association between two variables adopting the statistical method of correlation analysis. Hence , a critical thinking test (AssessmentDay Practice Test Experts, 2018) was displayed to test students’ critical thinking skills. Then, the students were asked to write an argumentative essay about social media and everday communication . For the analysis of the collected data, the study used SPSS software (Statistical Package for the Social Sciences, version 23). Pearson’s correlation coefficient was applied to examine the significant relationship between critical thinking skills and argumentative writing. The study result showed that correlation coefficient of critical thinking test and argumentative essay of S4 students is 0. 683 and of of S6 is 0. 781 which implies that the two tests are positively correlated and the correlation between critical thinking and argumentative writing is positive and very significant.
ПРО ДІЯЛЬНІСТЬ ІНСТИТУТУ ПСИХОЛОГІЇ ІМЕНІ Г.С. КОСТЮКА НАПН УКРАЇНИ ЩОДО ПСИХОЛОГІЧНОЇ ПІДТРИМКИ НАСЕЛЕННЯ УКРАЇНИ ПІД ЧАС ВОЄННОГО СТАНУ
Authors: Maksymenko Serhii , Karamushka Liudmyla , Chepeleva Natalia , Kokun Oleg 
Published: April 2023

У звітній доповіді висвітлено активну діяльність Інституту психології імені Г.С. Костюка НАПН України щодо психологічної підтримки населення України під час війни. Зокрема, волонтерську діяльність здійснюють створений у 2014 р. при Інституті «Кризовий центр медико-психологічної допомоги» та вчені всіх підрозділів під безпосереднім керівництвом та координацією дирекції Інституту. Зазначено важливі напрями роботи, як-от: соціально-психологічна підтримка тимчасово переміщених за кордон українських громадян; методичне забезпечення діяльності психологів та їх підготовка; підготовка керівників та працівників закладів освіти для психологічного забезпечення організації освітнього процесу в умовах війни; психологічна допомога військовослужбовцям; взаємодія з міжнародними організаціями; перспективи подальшої діяльності Інституту щодо надання психологічної підтримки населенню в умовах воєнного стану; активне висвітлення результатів психологічної допомоги населенню під час проведення масових науково-практичних заходів, включених до плану роботи НАПН України та Інституту.
Factors associated with adverse outcome among hospitalized patients with moderate to severe COVID-19
Authors: Mishinova S. A. , Gomon Yu. M. , Kolbin A. S. , Verbitskaya E. V. , Galimov T. I. 
Published: April 2023

Aims. To consider factors associated with adverse outcome among hospitalized patients with moderate and severe COVID-19.Materials and methods. Data from 345 case histories of adult patients hospitalized with moderate to severe COVID-19 were analyzed in a single-center retrospective study. Characteristics by sex, age, number of days from disease onset to admission to hospital, duration of hospitalization, duration of disease, population characteristics by medical history of comorbidities and self-medication, outcome of hospitalization and medical technologies used in hospital conditions were given for the whole cohort of patients. All parameters were analyzed using descriptive statistics methods. Qualitative variables are given in absolute (n) and relative (%) values with 95% confidence interval. Continuous variables were presented as median and quartiles. Risk factors for mortality were determined across groups using the χ2 criterion and odds ratio.Results. There was no demonstrated effect of gender, degree of pulmonary tissue lesions on computed tomography data, or time of initiation of respiratory support on disease outcome. At the same time, the age older than 65 years as well as neoplasms, type 2 diabetes mellitus, dementia, Stage 3 arterial hypertension, chronic heart failure, coronary heart disease, myocardial infarction and stroke history, chronic obstructive pulmonary disease, bronchiectatic disease, urogenital diseases were the predictors of unfavorable outcome in patients with moderate and severe COVID-19 form. Prehospital use of antiplatelet agents, direct and indirect oral anticoagulants, drugs affecting the renin-angiotensin system, systemic glucocorticosteroids, antibiotics, antiviral drugs, and analgesics was associated with a decrease in the mortality rate in patients with moderate-to-severe COVID-19, as well as timely use of pronposition and transfer to intensive care unit.Conclusions. Our findings are partially consistent with previous reports on the effect of risk factors on COVID-19 outcomes.
Spinning up a Daze: TESS Uncovers a Hot Jupiter Orbiting the Rapid Rotator TOI-778
Authors: Clark Jake T. , Addison Brett C. , Okumura Jack , Vach Sydney , Errico Adriana , Heitzmann Alexis , Rodriguez Joseph E. , Wright Duncan J. , Clerté Mathieu , Brown Carolyn J. , Fetherolf Tara , Wittenmyer Robert A. , Plavchan Peter , Kane Stephen R. , Horner Jonathan , Kielkopf John F. , Shporer Avi , Tinney C. G. , Hui-Gen Liu , Ballard Sarah , Bowler Brendan P. , Mengel Matthew W. , Zhou George , Lee Annette S. , David Avelyn , Heim Jessica , Lee Michele E. , Sevilla Verónica , Zafar Naqsh E. , Hinkel Natalie R. , Allen Bridgette E. , Bayliss Daniel , Berberyan Arthur , Berlind Perry , Bieryla Allyson , Bouchy François , Brahm Rafael , Bryant Edward M. , Christiansen Jessie L. , Ciardi David R. , Ciardi Krys N. , Collins Karen A. , Dallant Jules , Davis Allen B. , Díaz Matías R. , Dressing Courtney D. , Esquerdo Gilbert A. , Harre Jan-Vincent , Howell Steve B. , Jenkins Jon M. , Jensen Eric L. N. , Jones Matías I. , Jordán Andrés , Latham David W. , Lund Michael B. , McCormac James , Nielsen Louise D. , Otegi Jon , Quinn Samuel N. , Radford Don J. , Ricker George R. , Schwarz Richard P. , Seager Sara , Smith Alexis M. S. , Stockdale Chris , Tan Thiam-Guan , Udry Stéphane , Vanderspek Roland , Günther Maximilian N. , Wang Songhu , Wingham Geof , Winn Joshua N. 
Published: April 2023

Abstract
NASA’s Transiting Exoplanet Survey Satellite (TESS) mission has been uncovering a growing number of exoplanets orbiting nearby, bright stars. Most exoplanets that have been discovered by TESS orbit narrow-line, slow-rotating stars, facilitating the confirmation and mass determination of these worlds. We present the discovery of a hot Jupiter orbiting a rapidly rotating (

v
sin

(
i
)
=
35.1
±
1.0

km s−1) early F3V-dwarf, HD 115447 (TOI-778). The transit signal taken from Sectors 10 and 37 of TESS's initial detection of the exoplanet is combined with follow-up ground-based photometry and velocity measurements taken from Minerva-Australis, TRES, CORALIE, and CHIRON to confirm and characterize TOI-778 b. A joint analysis of the light curves and the radial velocity measurements yields a mass, a radius, and an orbital period for TOI-778 b of

2.76

−
0.23

+
0.24

M
J, 1.370 ± 0.043 R
J, and ∼4.63 days, respectively. The planet orbits a bright (V = 9.1 mag) F3-dwarf with M = 1.40 ± 0.05 M
⊙, R = 1.70 ± 0.05 R
⊙, and

log
g
=
4.05
±
0.17

. We observed a spectroscopic transit of TOI-778 b, which allowed us to derive a sky-projected spin–orbit angle of 18° ± 11°, consistent with an aligned planetary system. This discovery demonstrates the capability of smaller-aperture telescopes such as Minerva-Australis to detect the radial velocity signals produced by planets orbiting broad-line, rapidly rotating stars.