bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of Death and Dying Distress Scale-Chinese Version and Prevalence of Death Anxiety Among Patients With Advanced Cancer
Authors: Tang Lili , Zhang Yening , Pang Ying , Zhou Yuhe , Li Jinjiang , Song Lili , He Yi , Li Zimeng , Wang Yan 
Published: October 2021

Purpose: Death anxiety is commonly experienced by individuals with advanced cancer who have a limited life expectancy. The Death and Dying Distress Scale (DADDS) is a validated measure that was created to capture this experience; but no Chinese version is available to date. We conducted a cross-sectional study to explore the psychometric properties of a Chinese version DADDS (DADDS-C) and address prevalence of death anxiety among patients with advanced cancer.Methods: Patients with advanced cancer were recruited from Peking University Cancer Hospital. Measures administered included: DADDS-C, Patient Health Questionnaire (PHQ-9), General Anxiety Disorder-7(GAD-7), Quality of Life at End of Life in Cancer (QUAL-EC), Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale (FACIT-sp). McDonald's Omega, Cronbach's alpha, Exploratory Factor Analysis and Confirmatory Factor Analysis were used to test DADDS-C's reliability and validity. Logistic regression analysis was used to identify risk factors for death anxiety.Results: Of 300 patients approached, 256 (85%) provided informed consent and completed the questionnaires. Of these participants, 43 (16.8%) had moderate death anxiety based on scores of ≥45 on the DADDS-C. Three factors (feeling shortness of time, dying and death distress, being a burden to others) explained 71.643% of shared variation with factor loadings ranging from 0.629 to 0.822. Cronbach's alpha was 0.939; Omega total was 0.959. DADDS-C had acceptable convergent and discriminant validity. Logistic regression analysis indicated that two factors (better relationship with healthcare providers and preparation for end of life) protected patients from death anxiety.Conclusion: DADDS-C is a valid tool for measuring death anxiety in Chinese patients with advanced cancer. The presence of at least moderate death anxiety in a substantial minority of these patients calls for screening for this symptom and for more routine psychological interventions to alleviate and prevent such distress in this population.
Machine Learning Prediction of Treatment Outcome in Late-Life Depression
Authors: Grzenda Adrienne , Speier William , Siddarth Prabha , Pant Anurag , Krause-Sorio Beatrix , Narr Katherine , Lavretsky Helen 
Published: October 2021

Background: Recent evidence suggests that integration of multi-modal data improves performance in machine learning prediction of depression treatment outcomes. Here, we compared the predictive performance of three machine learning classifiers using differing combinations of sociodemographic characteristics, baseline clinical self-reports, cognitive tests, and structural magnetic resonance imaging (MRI) features to predict treatment outcomes in late-life depression (LLD).Methods: Data were combined from two clinical trials conducted with depressed adults aged 60 and older, including response to escitalopram (N = 32, NCT01902004) and Tai Chi (N = 35, NCT02460666). Remission was defined as a score of 6 or less on the 24-item Hamilton Rating Scale for Depression (HAMD) at the end of 24 weeks of treatment. Features subsets were constructed from baseline sociodemographic and clinical features, gray matter volumes (GMVs), or both. Three classification algorithms were compared: (1) Support Vector Machine-Radial Bias Function (SVMRBF), (2) Random Forest (RF), and (3) Logistic Regression (LR). A repeated 5-fold cross-validation approach with a wrapper-based feature selection method was used for model fitting. Model performance metrics included Area under the ROC Curve (AUC) and Matthews correlation coefficient (MCC). Cross-validated performance significance was tested by permutation analysis. Classifiers were compared by Cochran's Q and post-hoc pairwise comparisons using McNemar's Chi-Square test with Bonferroni correction.Results: For the RF and SVMRBF algorithms, the combined feature set outperformed the clinical and GMV feature sets with a final cross-validated AUC of 0.83 ± 0.11 and 0.80 ± 0.11, respectively. Both classifiers passed permutation analysis. The LR algorithm performed best using GMV features alone (AUC 0.79 ± 0.14) but failed to pass permutation analysis using any feature set. Performance of the three classifiers differed significantly for all three features sets. Important predictive features of treatment response included anterior and posterior cingulate volumes, depression characteristics, and self-reported health-related quality scores.Conclusion: This preliminary exploration into the use of ML and multi-modal data to identify predictors of general treatment response in LLD indicates that integration of clinical and structural MRI features significantly increases predictive capability. Identified features are among those previously implicated in geriatric depression, encouraging future work in this arena.
The Improvement of the Precision of the Archimedean Spiral Toothline Gear Cutting Mill
Authors: Gyéresi Hunor András , Cristea Luciana , Máté Márton 
Published: October 2021

Abstract
The precision of gears has a major influence on the quality of the transmission. If the gear cannot be finished by grinding, the precision of the generating tool becomes essential. Archimedean spiral toothline cylindrical gears are obtained by reciprocate meshing using a milling cutter built up by individual cutters, organized in groups. The profiles of edges must be realized with a minimal profile error. In order to ensure the quality and the precision of the meshed tooth surface, and also the profile constancy after re-sharpening, relief faces must be realized by a grinding relieving operation. A secondary effect of the kinematics of relieving end the spatial extent of the grinding wheel a post undercut results and this produces an inevitable profile error. The present paper discusses a possible grinding wheel setting that produces a maximum theoretical profile error under 1μm along the whole re-sharpening reserve of the cutter. The proposed setting can be realized on a classical relieving lathe.
The Conditions of Undercut By Shaping Using a Rounded Profile Gear Shaper Cutter
Authors: Norbert Hodgyai , Ferenc Tolvaly-Roșca , Márton Máté 
Published: October 2021

Abstract
The present paper deals with the cases of undercut when not only the linear but the curved segment of the generatrix curve is also taken in consideration. The literature admits the approximation of the root fillet with a circular arc with a radius of 0,38 m. In this paper, instead of this approximation, the real envelope realized by the rounded rack-head is computed. In analyzing the undercut there are two classical synthetic geometrical models supporting Litvin’s general equations that describe the condition of avoiding the undercut: one for the linear and one for the rounded part of the generatrix. The scope of exact computing of the root fillet curve consists in optimizing the cutting toll tooth topland geometry to obtain the best rigidity. The numerically evaluated models allow us to conclude that profile shifting can be pushed below the undercut limits stated in the classical literature, without the appearance of the well-known fracture point on the meshed tooth profile.
Thermal Behaviour Analysis of Complex Joints for an Energy Efficient School Building
Authors: Karda Szilárd , Nagy-György Tamás , Boros József 
Published: October 2021

Abstract
Energy-efficient buildings have received increasing attention in recent times as they represent a direction that promotes the objectives of a sustainable, competitive and decarbonized energy policy. In order to meet the minimum requirements of the nearly zero-energy buildings (nZEB) the thermal characteristics of the envelope play an important role. The aim of the paper is to present and analyse the thermal behaviour of complex joints for an energy efficient school building, for which the formation of thermal bridges has been reduced by applying improved geometrical and technological solutions. Since most of the thermal bridge catalogues did not provide updated details for the studied joints, numerical calculations, as two-dimensional finite elements thermal simulations, were performed to determine thermal transmittance coefficients and the U-value..
Unintended consequences of online consultations: a qualitative study in UK primary care
Authors: Turner Andrew , Morris Rebecca , Rakhra Dylan , Stevenson Fiona , McDonagh Lorraine , Hamilton Fiona , Atherton Helen , Farr Michelle , Blake Sarah , Banks Jon , Lasseter Gemma , Ziebland Sue , Hyde Emma , Powell John , Horwood Jeremy 
Published: October 2021

BackgroundHealth services are increasingly using digital tools to deliver care, and online consultations are being widely adopted in primary care settings. The intended consequences of online consultations are to increase patient access to care and increase the efficiency of care.AimTo identify and understand the unintended consequences of online consultations in primary care.Design and settingQualitative interview study in eight general practices using online consultation tools in South West and North West England between February 2019 and January 2020.MethodThematic analysis of semi-structured interviews with 19 patients and 18 general practice staff.ResultsConsequences of online consultations were identified that restricted patient access to care by making it difficult for some patients to communicate effectively with a GP and disadvantaging digitally-excluded patients. This stemmed from patient uncertainty about how their queries were dealt with, and whether practices used online consultations as their preferred method for patients to contact the practice. Consequences were identified that limited increases in practice efficiency by creating additional work, isolation, and dissatisfaction for some staff.ConclusionUnintended consequences often present operational challenges that are foreseeable and partly preventable. However, these challenges must be recognised and solutions resourced sufficiently. Not everyone may benefit and local decisions will need to be made about trade-offs. Process changes tailored to local circumstances are critical to making effective use of online consultation tools. Unintended consequences also present clinical challenges that result from asynchronous communication. Online consultation tools favour simple, well-formulated information exchange that leads to diffuse relationships and a more transactional style of medicine.
Senyawa Katekin (Flavonoid) dari Kulit Batang Chisocheton balancae C.DC (Meliaceae)
Authors: Katja Dewa G , Mantiri Sisilia A , Runtuwene Max R.J , Supratman Unang , Hilmayanti Erina 
Published: October 2021

Senyawa katekin (flavonoid) dengan rumus molekul C15H14O6 telah diisolasi dari kulit batang chisocheton balancae C.DC (Meliacea). Penelitian ini bertujuan untuk mendapatkan senyawa katekin (flavonoid). Sampel dimaserasi dengan metanol dan dipartisi dengan pelarut etil asetat. Hasil partisi etil asetat dipisahkan dengan teknik kromatografi dan dihasilkan isolat murni berupa kristal berwarna putih (5,5 mg) dengan titik leleh 175-1770C dengan serapan maksimum pada panjang gelombang 280,30 nm. Struktur kimia senyawa katekin diidentifikasi dari data-data spektroskopi meliputi 1H-NMR, 13C-NMR dan DEPT 1350, serta perbandingan dengan data spektroskopi yang diperoleh dari literatur. Hasilnya menunjukkan bahwa kulit batang Chisocheton balancae C.DC (Meliaceae) merupakan senyawa katekin (flavonoid).Kata kunci: Chisocheton balancae C.DC; katekin ; meliaceae Catechin Compound (Flavonoid) from Chisocheton balancae C.DC (Meliaceae) BarkABSTRACTA catechin compound (flavonoid) with the molecular formula C15H14O6 has been isolated from Chisocheton balancae C.DC (Meliacee) bark. This study aims to determine the chemical structure of catechins (flavonoids). The sample is macerated with methanol and partitioned with ehtyl acetate as solvent. The results of the partitioning of ethyl acetate were separated by chromatographic techniques and pure isolates were produced in the form of white crystals (as much as 5,5 mg) with a melting point of 175-1770C and maximum absorption at a wavelength of 280,30 nm. The chemical structure of catechin compound was identified on the basis of spectroscopic data including 1H-NMR, 13C-NMR and DEFT 1350 as well as comparison with spectroscopic data obtained from the literature. The results shows that the bark of Chisocheton balancae C.DC (Meliaceae) contained catechin compound.Keywords: Catechin; meliaceae; Chisocheton balancae C.DC
التنبؤ بالتحصيل الدراسي من خلال قلق الاختبار وقيمة المادة وتوجهات أهداف الإنجاز لدى طلبة المدارس الحكومية بسلطنة عمان
Authors: المسكري شريفة , الظفري سعيد 
Published: October 2021

هدفت الدراسة الحالية إلى التنبؤ بالتحصيل الدراسي من خلال قلق الاختبار وقيمة المادة وتوجهات أهداف الانجاز، ومعرفة مستوى المتغيرات والفروق بين الجنسين فيها، وقد تكونت عينة الدراسة من 644 طالبا وطالبة من طلاب الحلقة الثانية بمدارس سلطنة عمان (358 ذكور، 286 إناث). واستخدم الباحثان مقياس قلق الاختبار ومقياس قيمة المادة ومقياس توجهات الأهداف، وتوصلت الدراسة إلى ارتفاع مستوى التحصيل الدراسي وتوجه هدف الاتقان-إقدام، وتوجه هدف أداء-إقدام، وأداء-إحجام، وارتفاع مستوى قلق الاختبار وقيمة المادة لدى أفراد العينة، وبينت نتائج تحليل الانحدار إمكانية التنبؤ بالتحصيل الدراسي عند مستوى دلالة أقل من 0,001 من خلال قلق الاختبار وتوجه هدفي (أداء-إقدام) و(أداء-إحجام )، كما أشارت النتائج إلى وجود فروق دالة إحصائيا في توجه أهداف (إتقان-إقدام) و(أداء-إقدام) و(أداء-إحجام) والتحصيل الدراسي وقلق الاختبار تعزى لمتغير الجنس لصالح الإناث، وعدم وجود فروق دالة إحصائيا في قيمة المادة وتوجه الهدف (إتقان-إحجام) تعزى لمتغير الجنس.
كلمات مفتاحية: التحصيل الدراسي، قلق الاختبار، قيمة المادة، توجهات أهداف الانجاز.
Dolor y gloria, ¿autobiografía, autoficción o ficción autobiográfica audiovisual?
Authors: Gómez Gómez Agustín 
Published: October 2021

Dolor y gloria (2019) de Pedro Almodóvar es una obra autorreferencial de ficción. Nuestro objetivo es establecer a qué categoría pertenece, especialmente a partir de las tres formas más frecuentes: la autobiografía, la autoficción y la ficción autobiográfica. Partimos de los postulados de Philippe Lejuene y de la teoría de la autoficción para realizar un análisis fílmico, e igualmente hemos considerado algunos textos del propio Almodóvar y entrevistas que, como paratextos, nos ayudan a comprender qué hay de personal en sus películas.
El resultado de nuestro estudio es que transforma vivencias propias, cercanas y ajenas en narraciones de ficción. Las conclusiones son que no existe relato autobiográfico, en algunos casos hallamos autoficción y, principalmente, hay ficción autobiográfica.
The role of iconic gestures and mouth movements in face-to-face communication
Authors: Krason Anna , Fenton Rebecca , Varley Rosemary , Vigliocco Gabriella 
Published: October 2021

AbstractHuman face-to-face communication is multimodal: it comprises speech as well as visual cues, such as articulatory and limb gestures. In the current study, we assess how iconic gestures and mouth movements influence audiovisual word recognition. We presented video clips of an actress uttering single words accompanied, or not, by more or less informative iconic gestures. For each word we also measured the informativeness of the mouth movements from a separate lipreading task. We manipulated whether gestures were congruent or incongruent with the speech, and whether the words were audible or noise vocoded. The task was to decide whether the speech from the video matched a previously seen picture. We found that congruent iconic gestures aided word recognition, especially in the noise-vocoded condition, and the effect was larger (in terms of reaction times) for more informative gestures. Moreover, more informative mouth movements facilitated performance in challenging listening conditions when the speech was accompanied by gestures (either congruent or incongruent) suggesting an enhancement when both cues are present relative to just one. We also observed (a trend) that more informative mouth movements speeded up word recognition across clarity conditions, but only when the gestures were absent. We conclude that listeners use and dynamically weight the informativeness of gestures and mouth movements available during face-to-face communication.
RUBubbles as a novel tool to study categorization learning
Authors: Apostel Aylin , Rose Jonas 
Published: October 2021

AbstractGrouping objects into discrete categories affects how we perceive the world and represents a crucial element of cognition. Categorization is a widespread phenomenon that has been thoroughly studied. However, investigating categorization learning poses several requirements on the stimulus set in order to control which stimulus feature is used and to prevent mere stimulus–response associations or rote learning. Previous studies have used a wide variety of both naturalistic and artificial categories, the latter having several advantages such as better control and more direct manipulation of stimulus features. We developed a novel stimulus type to study categorization learning, which allows a high degree of customization at low computational costs and can thus be used to generate large stimulus sets very quickly. ‘RUBubbles’ are designed as visual artificial category stimuli that consist of an arbitrary number of colored spheres arranged in 3D space. They are generated using custom MATLAB code in which several stimulus parameters can be adjusted and controlled separately, such as number of spheres, position in 3D-space, sphere size, and color. Various algorithms for RUBubble generation can be combined with distinct behavioral training protocols to investigate different characteristics and strategies of categorization learning, such as prototype- vs. exemplar-based learning, different abstraction levels, or the categorization of a sensory continuum and category exceptions. All necessary MATLAB code is freely available as open-source code and can be customized or expanded depending on individual needs. RUBubble stimuli can be controlled purely programmatically or via a graphical user interface without MATLAB license or programming experience.
Graphical abstract
A Novel Attempt at Writing the Women’s History of the Russian Revolution (Reviewing: Cox’s J. The Women's Revolution: Russia 1905–1917. Chicago, Haymarket Book Publ., 2019, 133 p.)
Authors: Богомолов И.К. 
Published: October 2021

В рецензии анализируется монография Джуди Кокс о «женском» взгляде на российскую революцию. Констатируется, что эта новая попытка создать историю «женской революции» в целом оказалась неудачной. История женского движения в России на рубеже XIX–ХХ веков прослежена автором поверхностно с привлечением узкого круга источников и с явным перекосом в сторону большевистской партии. В результате в работе обойдены вниманием многие известные деятели революционного движения, например Мария Спиридонова. В то же время появление такой работы позволяет задуматься о целесообразности отдельных, «мужских» и «женских», обобщающих историй российской революции, как и других социальных катаклизмов сопоставимого масштаба.
The article analyzes Judi Cox’s monograph which views the Russian revolution through the lens of female perception. The author of the article maintains that Cox’s attempt to write the women’s history of the Russian Revolution can hardly be called successful. The author of the monograph investigates the history of the women’s movement in Russia at the turn of the 19th–20th centuries in a rather superficial way. The author of the monograph relies on a meager number of sources and views the situation from the Bolshevist perspective. As a result many prominent revolutionaries, such as Maria Spiridonova, remain
in the shadow of oblivion. However, the monograph makes one wonder about the necessity of investigating social dramas, such as the Russian revolution, through the prism of male and female perception.
On Translation of D. Chakrabarty’s “Provincializing Europe”
Authors: Чемякин Е.Ю. 
Published: October 2021

Данная публикация представляет собой перевод первых вступительных разделов («Идея провинциализации Европы» и «Политика историзма») из монографии Дипеша Чакрабарти «Провинциализируя Европу». В этих разделах разбирается понятие «историзм» и его значение для формирования идеи европейского политического модерна. Чакрабарти критикует западный подход, который «отказывает» бывшим колониальным странам в становлении собственной модерности.
The article presents translations of the first introductory chapters (“The Idea of Provincializing Europe” “Historicism and the Narration of Modernity”) of Dipesh Chakrabarty’s monograph “Provincializing Europe”. These chapters focus on the notion of historicism and its role in the formation of European political modernity. Chakrabarty criticizes the western approach that imposes Eurocentric modernity on former colonies.
Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors
Authors: Sánchez-Sáez P. , Lira H. , Martí L. , Sánchez-Pi N. , Arredondo J. , Bauer F. E. , Bayo A. , Cabrera-Vives G. , Donoso-Oliva C. , Estévez P. A. , Eyheramendy S. , Förster F. , Hernández-García L. , Arancibia A. M. Muñoz , Pérez-Carrasco M. , Sepúlveda M. , Vergara J. R. 
Published: October 2021

Abstract
The classic classification scheme for active galactic nuclei (AGNs) was recently challenged by the discovery of the so-called changing-state (changing-look) AGNs. The physical mechanism behind this phenomenon is still a matter of open debate and the samples are too small and of serendipitous nature to provide robust answers. In order to tackle this problem, we need to design methods that are able to detect AGNs right in the act of changing state. Here we present an anomaly-detection technique designed to identify AGN light curves with anomalous behaviors in massive data sets. The main aim of this technique is to identify CSAGN at different stages of the transition, but it can also be used for more general purposes, such as cleaning massive data sets for AGN variability analyses. We used light curves from the Zwicky Transient Facility data release 5 (ZTF DR5), containing a sample of 230,451 AGNs of different classes. The ZTF DR5 light curves were modeled with a Variational Recurrent Autoencoder (VRAE) architecture, that allowed us to obtain a set of attributes from the VRAE latent space that describes the general behavior of our sample. These attributes were then used as features for an Isolation Forest (IF) algorithm that is an anomaly detector for a “one class” kind of problem. We used the VRAE reconstruction errors and the IF anomaly score to select a sample of 8809 anomalies. These anomalies are dominated by bogus candidates, but we were able to identify 75 promising CSAGN candidates.