bluuebunny/crossref_metadata_2025_split huggingface dataset:
Twelfth rib syndrome: role of intercostal blocks: case series of 10 patients
Authors: Phadnis Amit Prabhakar , Gadhe Shashikant , Kale Sachin , Vatkar Arvind , Yadav Praveen , Mandal Shobhan , Verma Ashmit , Das Sonali , Kale Sachiti Sachin 
Published: October 2023

Twelfth rib syndrome (TRS) is a rare condition that causes severe pain in the loin. It is often misdiagnosed, leading to unnecessary investigations and treatments. Intercostal blocks in the 11th and 12th rib often resolve the pain for these patients. In this research paper, we aim to explore the role of intercostal block in the management of TRS based on our experience with 10 patients. Data of patients who were diagnosed with TRS were studied retrospectively from our hospital records who have been given intercostal block injection from the period of Jan 2022 to August 2023 as an audit. Four patients underwent intercostal blocks. VAS scores were measured in follow-up for 1 and 3 months. 4 patients were lost to follow up and hence not considered in this study. The male to female ratio was 7:3. There was a statistically significant reduction in VAS score at 1 month and 3 months compared to pre-injection times. Patients who have failed conservative management for TRS can be effectively managed with intercostal block injections.
Akreditasyon Ekseninde Müfredat Değişimleri: Halkla İlişkiler Eğitimi Örneği
Authors: TÜRKAL İhsan 
Published: October 2023

Müfredat yükseköğretimde eğitim programının temel taşıdır ve öğrencilerin bilgi, beceri ve değerlerini şekillendirmede kritik bir rol oynamaktadır. Müfredat, yükseköğrenimdeki eğitim hedeflerini belirlemenin bir yolu, öğrencilerin belli bir dönem boyunca nasıl gelişmelerini sağlayacaklarına dair bir çerçeve sunmaktadır. Derslerin sıralaması, içeriği, sınavlar, ödevler ve performans ölçütleri, öğrencilerin ne kadar bilgi ve beceri kazandıklarını değerlendirmek müfredatla bağlantılıdır. Müfredatın etkin bir şekilde tasarlanması ve güncel tutulması, yükseköğretim kurumlarının başarısını ve mezunlarının niteliklerini etkilemektedir. Akreditasyon, bir üniversite bölümünün veya programının kalitesini ve uygunluğunu değerlendiren ve onaylayan bir dış denetim sürecini ifade etmektedir. Dolayısıyla yükseköğretim kurumları açısından akreditasyon kurumların sunduğu eğitimin kalite standartlarının yükseltilmesi bakımından büyük önem taşımaktadır. Akreditasyon uygulamalarının en çok üzerinde durduğu konuların başında müfredat gelmekte olup müfredatın paydaş istek ve beklentileri doğrultusunda güncellenmesi yoluna gidilmektedir. Buradan hareketle bu çalışma akredite olan halkla ilişkiler bölümlerini konu almakta ve bölümlerin müfredatlarının akreditasyon dolayısıyla ne ölçüde değişime uğradığını tespit etmektir. Araştırma, Türkiye’deki tüm halkla ilişkiler bölümlerinin müfredatlarının içerik analizi ile incelenmesi yöntemine dayanmaktadır. Akredite olan ve olmayan bölümler arasında karşılaştırmalı bir çalışma gerçekleştirilmiş olup değişimin ne ölçüde ve ne yönde olduğu anlaşılmaya çalışılmıştır.
Uji Sun Protection Factor (SPF) Ekstrak Etanol Daun Mitragyna speciosa Korth.
Authors: Normaidah Normaidah , Najahidin Maulidya , Rahmah Maslia , Fadlilaturrahmah Fadlilaturrahmah , Izma Hayatun 
Published: October 2023

Kratom (Mitragyna speciosa Korth.) merupakan tanaman tropis yang memiliki kemampuan melindungi kulit dari paparan sinar matahari. Tujuan dari penelitian ini adalah untuk mengetahui aktivitas tabir surya ekstrak etanol daun M. speciosa kuantitatif menggunakan spektrometri UV-Vis. Ekstraksi dilakukan dengan metode maserasi menggunakan pelarut etanol 96%. Kandungan metabolit sekunder secara kualitatif dilakukan menggunakan skrining fitokimia. Aktivitas tabir surya diuji menggunakan lambda 290-320 nm dengan interval 5 nm. Ekstrak etanol daun M. speciosa diperoleh sebesar 86,09 gram (17,218%) dan pada konsentrasi 250 ppm menunjukkan adanya aktivitas tabir surya dengan nilai SPF sebesar 8,433. Daun kratom asal Kalimantan Selatan berpotensi sebagai produk kosmetik tabir surya. Kata Kunci: Kratom, Spektrofotometri UV-Vis, Tabir Surya, Flavonoid Kratom (Mitragyna speciosa Korth.) is a tropical plant that has the ability to protect the skin from sun exposure due to the presence of flavonoids. The purpose of this study was to determine the sunscreen activity of the M. speciosa leaves ethanolic extract, quantitatively by UV-Vis spectrometry. Extraction was carried out by maceration method in 96% ethanol. The content of secondary metabolites were qualitatively determined using the phytochemistry screening study. The sunscreen activity was tested using 290-320 nm (5 nm intervals). The ethanol extract of M. speciosa leaves was obtained by 86.09 grams (17.218%) and with a concentration of 250 ppm showed sunscreen activity with an SPF value of 8.433. Kratom leaves from South Kalimantan have potential as a sunscreen.
Pengalaman Pembelajaran Jarak Jauh Mahasiswa : Peran Self-Regulated Online Learning Dan Persepsi Dukungan Sosial Terhadap Motivasi Akademik
Authors: Rahmadini Rizqika , Salim Rose Mini Agoes 
Published: October 2023

Mahasiswa memiliki tuntutan akademik dan tanggung jawab yang lebih besar dibandingkan jenjang-jenjang sebelumnya. Memiliki motivasi akademik menjadi hal yang sangat penting agar kesuksesan saat berkuliah dapat tercapai. Namun adanya PJJ karena pandemi COVID-19 memunculkan tantangan baru bagi mahasiswa dalam mempertahankan motivasi akademiknya. Penelitian terdahulu menunjukkan jika self-regulated learning (SRL) dan persepsi dukungan sosial memiliki hubungan positif yang signifikan dengan motivasi akademik. Studi ini bertujuan untuk mengetahui pengaruh self-regulated online learning (SROL) yang merupakan SRL dalam lingkungan pembelajaran daring, serta persepsi dukungan sosial terhadap motivasi akademik mahasiswa yang berkuliah jarak jauh (PJJ) baik secara daring sepenuhnya maupun campuran antara daring dan luring. Terdapat total 162 mahasiswa S1 dan S2 yang terlibat dalam studi ini. Motivasi akademik diukur melalui Academic Motivation Scale (AMS); SROL diukur melalui skala Self Regulated Online Learning (SROL); dan persepsi dukungan sosial diukur melalui Multidimensional Scale of Perceived Social Support (MSPSS). Hasil analisis regresi linear berganda menunjukkan jika SROL dan persepsi dukungan sosial secara bersama- sama memberikan pengaruh positif dan signifikan sebesar 35.9% terhadap motivasi akademik. Lebih lanjut, SROL ditemukan memberikan kontribusi yang lebih besar pada motivasi akademik mahasiswa yang mengikuti PJJ dibandingkan persepsi dukungan sosial.
Predictive Model for Relative Permeability Using Physically-Constrained Artificial Neural Networks
Authors: Yoga Hanif F. , Johns Russell T. , Purswani Prakash 
Published: October 2023

Summary
Hysteresis of transport properties like relative permeability (kr) can lead to computational problems and inaccuracies for various applications including CO2 sequestration and chemical enhanced oil recovery (EOR). Computational problems in multiphase numerical simulation include phase labeling issues and path dependencies that can create discontinuities. To mitigate hysteresis, modeling kr as a state function that honors changes in physical parameters like wettability is a promising solution. In this research, we apply the state function concept to develop a physics-informed data-driven approach for predicting kr in the space of its state parameters. We extend the development of the relative permeability equation-of-state (kr-EoS) to create a predictive physically-constrained model using artificial neural networks (ANNs). We predict kr as a function of phase saturation (S) and phase connectivity (χ^), as well as the specific S-χ^ path taken during the displacement while maintaining other state parameters constant such as wettability, pore structure, and capillary number. We use numerical data generated from pore-network modeling (PNM) simulations to test the predictive capability of the EoS. Physical limits within S-χ^ space are used to constrain the model and improve its predictability outside of the region of measured data. We find that the predicted relative permeabilities result in a smooth and physically consistent estimate. Our results show that ANN can more accurately estimate kr surface compared to using a high-order polynomial response surface. With only a limited amount of drainage and imbibition data with an initial phase saturation greater than 0.7, we provide a good prediction of kr from ANN for all other initial conditions, over the entire S-χ^ space. Finally, we show that we can predict the specific path taken in the S-χ^ space along with the corresponding kr for any initial condition and flow direction, making the approach practical when phase connectivity information is unavailable. This research demonstrates the first application of a physics-informed data-driven approach for the prediction of relative permeability using ANN.
Relative optimization force concept for gEUD biological optimization and novel a-value selection viewpoint
Authors: Anetai Yusuke 
Published: October 2023

Abstract
This document was written as the addendum of our published work, “Effective optimization strategy for large optimization volume object, remaining volume at risk (RVR): α-value selection and usage from generalized equivalent uniform dose (gEUD) curve deviation perspective” (10.1088/1361-6560/acb989). The gEUD is represented by a mathematical form of weighted general mean, and this is widely accepted as radiobiological dose in clinical practice. To make more smooth use and understanding of the gEUD optimization for the dose distribution, we focused on a-value roles for the optimization, and clarified the leverage effect of low and high a-value used optimization by means of relative optimization force (ROF), which is defined as a pseudo-force to explain the gEUD curve deformation.
A convenient Agrobacterium tumefaciens mediated transgenic system for diploid and tetraploid potatoes
Authors: Xu Chunjiang , Qi Lipan , Chang Shiwei , Yuan Pingping , Zhang Zhenxing , Shan Youjiao , Magembe Erick , kear Philip , Feng Yan , Li Yafei , Ji Yihong , Wang Lei , Li Jieping 
Published: October 2023

Abstract
As the fourth staple food crop in the world, potatoes can provide enough energy, protein, and nutrients necessary for humans. However, the negative effects of climate change and population growth call for improved potato yields and resilience. Genetic engineering is a convenient way to improve potato varieties and create new germplasm resources. Some important traits may be obtained through transgenic technology, such as drought, heat, cold tolerance, and increasing the concentration of micronutrients in tubers. Therefore, Agrobacterium tumefaciens mediated transformation is a stable and widely used method for genetic improvement. In this study, a convenient transgenic system on two diploid potatoes and one popular tetraploid potato variety (Desiree) were transformed using this process. A simple and easy complete transgenic system was built by obtaining positive transformed seedlings in 40 days, and the positive transgenic efficiencies of diploid and tetraploid recipient materials were 3.75–8.45% and 70%, respectively. This fast transgenic system provides a powerful tool for supporting basic research on functional genes and creating new materials for genetic engineering breeding.
The new genetic transformation system has the advantages of greater time efficiencies and fewer operation steps which can accelerate the process of candidate gene verification.
An Update to Probable Maximum Precipitation Accounting for More Than Moisture Availability Alone: A Case Study of Nepal.
Authors: Wasti Asphota , Schlef Katherine , Kappel Bill , Rahat Saiful Haque , Atreya Gaurav , Townsend-Small Amy , Ray Patrick 
Published: October 2023

Abstract
The moisture maximization approach, the most common technique for estimating Probable Maximum Precipitation (PMP), assumes that the upper limit of extreme precipitation can be estimated by maximizing atmospheric moisture availability alone. However, several atmospheric variables often play a role in the occurrence of extreme precipitation. In this paper, a generalization is proposed to incorporate other relevant atmospheric variables with a two-step multifactor maximization approach. In the first step, the dominant atmospheric variables are screened. In the second step, the maximization ratio for each variable is calculated separately and then combined as a weighted average to obtain a combined maximization ratio. When applied to a case study in Nepal, the multifactor maximization approach results in PMP estimates substantially different (up to 4x) from the conventional moisture maximization approach in regions where the PMP is particularly sensitive to factors other than atmospheric moisture availability.
Half dome carbon nitride nanostructures
Authors: Torre Alessandro La 
Published: October 2023

Abstract
We report on a new form of nanoscale carbon nitride in the shape of single layer half dome structures grown on the step edges of boron nitride sheets. The half-dome structures are formed spontaneously at high temperature in high vacuum using Fe2O3 capped with N(CH3)4OH supported on BN sheets. During the combustion process, the BN support first acted as a reducing agent for the transformation of the iron oxide in metallic iron and, second, as a source of nitrogen that permitted the transformation of the organic capping agent in sp1 CN chains linked with sp2 CN domains. During Ostwald ripening, smaller nanoparticles migrate towards larger nanoparticles, and when the nanoparticles cross the step edges of few-layer boron nitride sheets, a half-dome structure is formed. The propensity of FeNPs to catalyse the formation of the half dome containing cyanopolyynes species has been shown for the first time. The coexistence of carbon nitride atoms in two well-defined hybridization states within CN@HDS may offer functional features characteristic of carbyne and carbon nitride.
Collaborative Augmented Reconstruction for Scaled Production of 3D Neuron Morphology in Mouse and Human Brains
Authors: Peng Hanchuan , Zhang Lingli , Huang Lei , Yuan Zexin , Hang Yuning , Zeng Ying , Li Kaixiang Li , Wang Lijun Wang , Zeng Haoyu Zeng , Chen Xin , Zhang Hairuo , Xi Jiaqi , Chen Danni , Gao Ziqin , Le Longxin , Chen Jie , Ye Wen , Liu Lijuan , Wang Yimin 
Published: October 2023

Abstract

Digital reconstruction of the intricate 3D morphology of individual neurons from microscopic images is widely recognized as a crucial challenge in both individual research laboratories and large-scale scientific projects focusing on cell types and brain anatomy. This task often fails both conventional manual reconstruction and state-of-the-art automatic reconstruction algorithms, even many of which are based on artificial intelligence (AI). It is also critical but challenging to organize multiple neuroanatomists to produce and cross-validate biologically relevant and agreeable reconstructions in scaled data production. Here we propose an approach based on collaborative human intelligence augmented by AI. Specifically, we have developed a Collaborative Augmented Reconstruction (CAR) platform for neuron reconstruction at scale. This platform allows for immersive interaction and efficient collaborative-editing of neuron anatomy using a variety of client devices, such as desktop workstations, virtual reality headsets, and mobile phones, enabling users to contribute anytime and anywhere and take advantage of several AI-based automation tools. We have tested CAR’s applicability for challenging mouse and human neurons towards a scaled and faithful data production. Our data indicate that the CAR platform is suitable for generating tens of thousands of neuronal reconstructions used in our companion studies.
Entangled Photons Enabled Ultrafast Stimulated
Raman Spectroscopy for Molecular Dynamics
Authors: Zhang Zhedong , Fan Jiahao , Ou Zhe-Yu 
Published: October 2023

Abstract
Quantum entanglement has emerged as a great resource for studying the interactions between molecules and radiation. We
propose a new scheme of stimulated Raman scattering with entangled photons. A quantum ultrafast Raman spectroscopy is
developed for condensed-phase molecules, to monitor the exciton populations and coherences. Analytic results are obtained,
showing an entanglement-enabled time-frequency scale not attainable by classical light. The Raman signal presents an
unprecedented selectivity of molecular correlation functions, as a result of the Hong-Ou-Mandel interference. Our work suggests
a new paradigm of using an unconventional interferometer as part of spectroscopy, with the potential to unveil advanced
information about complex materials.
Spinning a levitated mechanical oscillator far into the deep-strong coupling regime
Authors: Novotny Lukas , Zielinska Joanna , Laan Fons van der , Norrman Andreas , Reimann Rene , Frimmer Martin 
Published: October 2023

Abstract
The field of levitodynamics has made substantial advancements in manipulating the translational and rotational degrees of freedom of levitated nanoparticles. Notably, rotational degrees of freedom can now be cooled to millikelvin temperatures and driven into GHz rotational speeds. However, in the case of cylindrically symmetric nanorotors, only the rotations around their short axes have been effectively manipulated, while the possibility to control rotation around the longer axis has remained a notable gap in the field. Here, we extend the rotational control toolbox by engineering an optically levitated nanodumbbell in vacuum into controlled spinning around its long axis with spinning rates exceeding 1 GHz. This fast spinning introduces deep-strong coupling between the nanodumbell’s libration modes, such that the coupling rate g exceeds the bare libration frequencies Ω0 by two orders of magnitude with g/Ω0 = 724 ± 33. Our control over the long-axis rotation opens the door to study the physics of deep-strong coupled mechanical oscillators and to observe macroscopic rotational quantum interference effects, thus laying a solid foundation for future applications in quantum technologies. Additionally, we find that our system offers great potential as a nanoscopic gyroscope with competitive sensitivity.
Floating binary planets from ejections during close stellar encounters
Authors: Wang Yihan , Perna Rosalba , Zhu Zhaohuan 
Published: October 2023

Abstract
The discovery of planetary systems beyond our solar system has posed challenges to established theories of planetary formation. Planetary orbits display a variety of architectures not predicted by first principles, and free-floating planets appear ubiquitous. The recent discovery of candidate Jupiter Mass Binary Objects (JuMBOs) by the James Webb Space Telescope (JWST) further expanded this enigma. Here, by means of high-accuracy, direct N-body simulations, we evaluate the possibility that JuMBOs may form as a result of ejection after a close stellar flyby. We consider a system of two Jupiter-like planets moving in circular orbits with velocities v1 and v2 at distances a1 and a2 around a Sun-like star. The interloper is another Sun-like star approaching with asymptotic velocity v∞. We find that JuMBOs can indeed be formed upon ejection if the two planets are nearly aligned as the interloper reaches the closest approach. The ratio of the cross section of JuMBOs production to that of single ejected free-floating planets can approach ~ 20% for v∞/v2 ~ 0.1 - 0.2 and a1/a2 ~ 0.65-0.7. JuMBOs formed via this channel are expected to have an average semi-major axis comparable to Δa = (a2-a1) and high eccentricity, with a distinctive superthermal distribution which can help to observationally identify this formation channel and distinguish it from primordial formation. If the ejection channel is confirmed for these or future JWST observations, these JuMBOs will directly inform us of the conditions where these giant planets formed in protoplanetary disks, putting stringent constraints on the giant planet formation theory.
Comparing fall prevention indicator priorities for public health and across health sectors in Ontario
Authors: Medeiros Alexia , Macpherson Alison K. , Pike Ian , Oakey Megan , Richmond Sarah A. 
Published: October 2023

Abstract
Introduction
Falls are the leading cause of injury-related emergency department (ED) visits and hospital admissions among older adults across many provinces in Canada. To effectively address this burden requires relevant data and indicators to inform fall prevention planning and evaluation.
Methods
We used a modified Delphi approach, including an environmental scan, survey and pairwise comparison exercise to identify, refine and prioritize older adult fall prevention indicators across multiple health sectors (MS) in Ontario and specifically for public health (PH). Three iterative phases of consultation were conducted with practitioners, as well as experts in injury prevention indicator development.
Results
The prioritization exercise resulted in differing priorities between MS and PH. The highest ranked indicator for MS was the rate of ED visits, and the lowest was disability-adjusted life years due to a fall. For PH, the rate of hospitalizations due to a fall was ranked first, with the rate of mortality due to a falllast. The remainder of the list differs considerably by group, with certain indicators ranked on one list, but not the other.
Conclusion
This work identified, refined and prioritized indicators for older adult fall prevention across health sectors and for PH in Ontario. While both groups shared some highly ranked indicators, their differing responsibilities in fall prevention are reflected in the contents and order of their respective priorities for indicators. Delineating the unique data needs of each group highlights the importance of having consistent and actionable data that informs prevention planning and evaluation.
Medical Subject Headings [MeSH]: Accidental falls; Policy; Wounds and Injuries;