bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hope in the Sociological Thoughts of some Founding Fathers
Authors: Greco Silvana 
Published: December 2022

AbstractNot all hope is equal. For the Christian religion, hope is a theological virtue, and refers to the expectation of future life, beyond death. With the transformation of European society in a secular sense and the rise of individualism between the 17th and 18th centuries, hope becomes a program of political and social transformation, aimed at this world. In my contribution I trace the emergence of the concept of hope in social thought and, then, in sociology. My analysis begins with the Philosophie sociale (Paris, 1793) by Moses Dobruska (1753–1794), a pioneering and largely overlooked text that founds a new vision of social science. After Dobruska, I then devote my attention to the great thinkers of the early nineteenth century, Henri de Saint-Simon (1760–1825) and Auguste Comte (1798–1857), and then I move on to the work of Émile Durkheim (1858–1917). It is a historical perspective that has been neglected until now, and that allows us to appreciate the construction of an idea of hope that frees itself from religious determinants and is oriented toward society and the individuals who live in it, and that anticipates the utopias and failures of the social ideologies of the 20th century.
What seems to explain suicidality in Yucatan Mexican young adults? Findings from an app-based mental health screening test using the SMART-SCREEN protocol
Authors: Martínez-Nicolás Ismael , Molina-Pizarro Cristian Antonio , Franco Arsenio Rosado , Arenas Castañeda Pavel E. , Maya Cynthya , Barahona Igor , Martínez-Alés Gonzalo , Bisquert Fuensanta Aroca , Delgado-Gomez David , Dervic Kanita , Lopez-Fernandez Olatz , Baca-García Enrique , Barrigón María Luisa 
Published: December 2022

AbstractThe relationship between suicidality, depression, anxiety, and well-being was explored in young adults (median age 20.7 years) from the State of Yucatan (Mexico), which has a suicide rate double that of other Mexican states. A cross-sectional study was carried out in 20 universities in Yucatan and 9,366 students were surveyed using validated questionnaires built into a smartphone app, applying partial least squares structural equation models. High suicide risk was assessed in 10.8% of the sample. Clinically relevant depression and anxiety levels were found in 6.6% and 10.5% of the sample, respectively, and 67.8% reported high well-being. Comparably higher levels of suicide risk, depression and anxiety, and lower well-being were found in women, who were also somewhat older than men in our study. Furthermore, path analysis in the structural equation model revealed that depression was the main predictor of suicidal behaviour as well as of higher anxiety levels and lower self-perceived well-being in the total sample and in both genders. Our findings draw attention to the association between suicidality, depression, anxiety, and well-being in Yucatan young adults and gender differences with this regard. Mental health screening via smartphone might be a useful tool to reach large populations and contribute to mental health policies, including regional suicide prevention efforts.
Troponin I New Biomarker in Traumatic Brain Injury
Authors: Sezer Can , Gokten Murat , Acıkalın Rıdvan 
Published: December 2022

Abstract
Mortality in traumatic brain injury (TBI) is thought to be pathology in the heart-brain axis but its effect on the prognosis of traumatic brain injury remains unclear. Our study aimed to investigate the relationship between cardiac troponin I (cTnI) level and prognosis in TBI patients. Between January 2017 and May 2021, 480 patients diagnosed with TBI, who applied to the emergency department, were retrospectively included in this multicentric study. The databases of the hospitals were examined comprehensively and the demographic, clinical, laboratory, radiological, and therapeutic data and results of the patients were obtained. The severity of trauma and clinical status was evaluated with AIS, Injury Severity Score (ISS), ASA physical status, and Glasgow Coma Scale (GCS). The severity of the trauma was evaluated with the ISS. The modified Rankin Scale (mRS) and the Glasgow Outcome Scale (GOS) at discharge were used to evaluate in-hospital clinical outcomes. cTnI levels were classified into three categories: normal (< 0.05 ng/ml), mildly elevated (0.05–0.99 ng/ml), and severely elevated (≥ 1 ng/ml). The mean age of the patients was 41.7 and 75.4% of them were men. It was observed that mortality among patients over 65 years (13.9%) increased. High cTnI was detected in 284 (59.1%) patients. Although it was not statistically significant regarding the elevation of cTnI in patients under 65 years of age (P = 0.62), the difference was significant for cTnI in patients over 65 years of age (P < 0.001). The relationship between cTnI elevation was found to be statistically significant (P < 0.001) as the severity of the trauma increased and when severe additional traumas (thoracic, abdominal, or pelvic) occurred. A high cTnI level is associated with poor prognosis in TBI patients. cTnI measurement is a useful tool for early risk stratification and accelerated care; however, further prospective studies are needed.
Ataxia Rating Scales Reflect Patient Experience: an Examination of the Relationship Between Clinician Assessments of Cerebellar Ataxia and Patient-Reported Outcomes
Authors: Potashman Michele H. , Mize Miranda L. , Beiner Melissa W. , Pierce Samantha , Coric Vladimir , Schmahmann Jeremy D. 
Published: December 2022

Abstract
Ataxia rating scales are observer administered clinical outcome assessments (COAs) of the cerebellar motor syndrome. It is not known whether these COAs mirror patient experience of their disease. Here we test the hypothesis that ataxia COAs are related to and reflect patient reported symptoms and impact of illness. A concept library of symptoms and activities impacted by ataxia was created by reviewing (a) concept elicitation data from surveys completed by 147 ataxia patients and 80 family members and (b) cognitive debrief data from focus groups of 17 ataxia patients used to develop the Patient Reported Outcome Measure of Ataxia. These findings were mapped across the items on 4 clinical measures of ataxia (SARA, BARS, ICARS and FARS). Symptoms reported most commonly related to balance, gait or walking, speech, tremor and involuntary movements, and vision impairment. Symptoms reported less frequently related to hand coordination, loss of muscle control, dizziness and vertigo, muscle discomfort or pain, swallowing, and incontinence. There was a mosaic mapping of items in the observer-derived ataxia COAs with the subjective reports by ataxia patients/families of the relevance of these items to their daily lives. Most COA item mapped onto multiple real-life manifestations; and most of the real-life impact of disease mapped onto multiple COA items. The 4 common ataxia COAs reflect patient reported symptoms and impact of illness. These results validate the relevance of the COAs to patients’ lives and underscore the inadvisability of singling out any one COA item to represent the totality of the patient experience.
Complete solution for vehicle Re-ID in surround-view camera system
Authors: Wu Zizhang , Xu Tianhao , Wang Fan , Wang Xiaoquan , Song Jing 
Published: December 2022

AbstractVehicle re-identification (Re-ID) is a critical component of the autonomous driving perception system, and research in this area has accelerated in recent years. However, there is yet no perfect solution to the vehicle re-identification issue associated with the car’s surround-view camera system. Our analysis identifies two significant issues in the aforementioned scenario: (1) It is difficult to identify the same vehicle in many picture frames due to the unique construction of the fisheye camera. (2) The appearance of the same vehicle when seen via the surround vision system’s several cameras is rather different. To overcome these issues, we suggest an integrative vehicle Re-ID solution method. On the one hand, we provide a technique for determining the consistency of the tracking box drift with respect to the target. On the other hand, we combine a Re-ID network based on the attention mechanism with spatial limitations to increase performance in situations involving multiple cameras. Finally, our approach combines state-of-the-art accuracy with real-time performance. We will soon make the source code and annotated fisheye dataset available.
Learning Through Doing: Comprehensive Programming for a Training Program in Cancer Disparities
Authors: Solari Williams Kayce D. , Escoto Kamisha Hamilton , Roberson Crystal , Le Kathy , Reitzel Lorraine R. , McNeill Lorna H. , Chang Shine 
Published: December 2022

AbstractIn the United States, preparing researchers and practitioners for careers in cancer requires multiple components for success. In this reflection article, we discuss our approach to designing a comprehensive research training program in cancer disparities. We focused on elements that provide students and early career scientists a deep understanding of disparities through first-hand experiences and skills training necessary to build a research career in the area. Our Educational Program sits within the framework of an NCI P20 program, “UHAND (U﻿niversity of Houston/MD And﻿erson Cancer Center)”, jointly established by an NCI-designated comprehensive cancer center and a minority-serving university as a collaborative partnership devoted to the elimination of cancer inequities among disproportionately affected racial and ethnic groups (UHAND Program to Reduce Cancer Disparities; NCI P20CA221696/ P20CA221697). The Education Program was designed to build on and enhance skills that are critical to pursuing a career in cancer disparities research at the undergraduate, doctoral, and post-doctoral levels—such as scientific communication, career planning and development, professional and community-based collaboration, and resilience in addition to solid scientific training. As such, our program integrates (1) opportunities for learning through service to community organizations providing resources to populations with documented cancer disparities, (2) a tailored curriculum of learning activities with program leadership and mentored research with scientists focused on cancer disparities and cancer prevention, (3) professional development training critical to career success in disparities research, and (4) support to address unique challenges faced by trainees from backgrounds that are historically underrepresented in research.
Discovery of a small molecule ligand of FRS2 that inhibits invasion and tumor growth
Authors: Santhana Kumar Karthiga , Brunner Cyrill , Schuster Matthias , Kopp Levi Luca , Gries Alexandre , Yan Shen , Jurt Simon , Moehle Kerstin , Bruns Dominique , Grotzer Michael , Zerbe Oliver , Schneider Gisbert , Baumgartner Martin 
Published: December 2022

Abstract
Purpose
Aberrant activation of the fibroblast growth factor receptor (FGFR) family of receptor tyrosine kinases drives oncogenic signaling through its proximal adaptor protein FRS2. Precise disruption of this disease-causing signal transmission in metastatic cancers could stall tumor growth and progression. The purpose of this study was to identify a small molecule ligand of FRS2 to interrupt oncogenic signal transmission from activated FGFRs.

Methods
We used pharmacophore-based computational screening to identify potential small molecule ligands of the PTB domain of FRS2, which couples FRS2 to FGFRs. We confirmed PTB domain binding of molecules identified with biophysical binding assays and validated compound activity in cell-based functional assays in vitro and in an ovarian cancer model in vivo. We used thermal proteome profiling to identify potential off-targets of the lead compound.

Results
We describe a small molecule ligand of the PTB domain of FRS2 that prevents FRS2 activation and interrupts FGFR signaling. This PTB-domain ligand displays on-target activity in cells and stalls FGFR-dependent matrix invasion in various cancer models. The small molecule ligand is detectable in the serum of mice at the effective concentration for prolonged time and reduces growth of the ovarian cancer model in vivo. Using thermal proteome profiling, we furthermore identified potential off-targets of the lead compound that will guide further compound refinement and drug development.

Conclusions
Our results illustrate a phenotype-guided drug discovery strategy that identified a novel mechanism to repress FGFR-driven invasiveness and growth in human cancers. The here identified bioactive leads targeting FGF signaling and cell dissemination provide a novel structural basis for further development as a tumor agnostic strategy to repress FGFR- and FRS2-driven tumors.
Two-stage hybrid algorithm for recognition of industrial slab numbers with data quality improvement
Authors: Liu Qingqing , Wang Xianpeng , Song Xiangman 
Published: December 2022

AbstractAs the unique recognition of each slab, the accurate recognition of slab number is especially critical for the hot rolling production process. However, the collected data are often of low quality due to poor production environment conditions, making traditional deep learning algorithms face more significant challenges in slab numbers recognition. In this paper, a two-stage hybrid algorithm based on convolutional neural network and Transformer is proposed to identify industrial slab numbers. In the first stage, an improved CycleGAN (HybridCy) is developed to enhance the quality of real-world unpaired data. In the second stage, a multi-scale hybrid vision transformer model (MSHy-Vit) is proposed to identify slab numbers of the improved data output of stage one. The experimental results on industrial slab data show that HybridCy exhibits stable and efficient performance. Even for low-quality data with severe geometric distortion, HybridCy can accomplish quality improvement, which can help to improve recognition accuracy. In addition, the MSHy-Vit achieves superior accuracy in the recognition of slab numbers in comparison to existing methods in the literature.
Adaptive encoding-based evolutionary approach for Chinese document clustering
Authors: Chen Jun-Xian , Gong Yue-Jiao , Chen Wei-Neng , Xiao Xiaolin 
Published: December 2022

AbstractDocument clustering has long been an important research direction in intelligent system. When being applied to process Chinese documents, new challenges were posted since it is infeasible to directly split the Chinese documents using the whitespace character. Moreover, many Chinese document clustering algorithms require prior knowledge of the cluster number, which is impractical to know in real-world applications. Considering these problems, we propose a general Chinese document clustering framework, where the main clustering task is fulfilled with an adaptive encoding-based evolutionary approach. Specifically, the adaptive encoding scheme is proposed to automatically learn the cluster number, and novel crossover and mutation operators are designed to fit this scheme. In addition, a single step of K-means is incorporated to conduct a joint global and local search, enhancing the overall exploitation ability. The experiments on benchmark datasets demonstrate the superiority of the proposed method in both the efficiency and the clustering precision.
Mens sana in corpore sano: the effects of sport on children’s learning in Italy
Authors: Nosvelli Mario 
Published: December 2022

AbstractThis study analyses the impact of sports participation on both cognitive and non-cognitive skills using micro data from Italian fifth grade pupils’ test scores. The performance of students is investigated by estimating different frequencies of sports practice. Using sports facilities as an instrument for sports participation, we find that its effect on school performance is positive, but only for an intermediate level of training. Sports drills have a negative effect, especially on females, when the extremes come into play: both inactivity and full-week action. On the contrary, daily sports practice seems to be effective on non-cognitive skills, revealing positive contributions to some personality traits that represent a major component of human capital.
Pre-drill pore pressure prediction from 1D seismic velocity profile to 3D modeling using high resolution full waveform inversion velocity (FWI): deep water offshore, West Nile Delta
Authors: Khattab Maha Nabil El-Sayed , Abou Ashour Nasser Mohamed Hassan Ali , El-Werr Abdel-khalek Mahmoud Mohamed , Afifi Mai Fayek Mohamed 
Published: December 2022

AbstractPore pressure prediction is one of the most critical steps while planning new well delivery activity in exploration fields in order to achieve the well target by delivering a safe well. It is very important to understand the structural and stratigraphic complexity that may influence formation pressure differences in the study area. Also, it is critical to have a range of uncertainty in prediction to mitigate any kind of drilling problems and operational risks. In this case study, the target is to predict the pore pressure gradient for four proposed exploration wells in West Nile Delta Raven field. The workflow has been applied utilizing tilted transverse isotropic seismic velocity and a high-resolution full waveform seismic inverted velocity. It is important as well to compare different methodologies where each one will have its own limitations. A manually picked normal compaction trend with the conventional Eaton pressure transform method was applied and compared with a BP internal normal compaction trend with a modified Eaton (Presgraf) pressure transform method in the Predrill prediction. The pre-drill pore pressure is finally compared with the actual measured pore pressure data that yields a good match.
Fiber-dominated Soft Actuators Inspired by Plant Cell Walls and Skeletal Muscles
Authors: Ren Luquan , Wu Qian , Liu Qingping , Ren Lei , Wang Kunyang , Zhou Xueli , Wang Zhenguo , He Yulin , Zhao Che , Li Bingqian 
Published: December 2022

AbstractMorphing botanical tissues and animal muscles are all fiber-mediated composites, in which fibers play a passive and active role, respectively. Herein, inspired by the mechanism of fibers functioning in morphing botanical tissues and animal muscles, we propose two sorts of fiber-dominated composite actuators. First, inspired by the deformation of awned seeds in response to humidity change, we fabricate passive fiber-dominated actuators using non-active aligned carbon fibers via 4D printing method. The effects of process parameters, structural parameters, and fiber angles on the deformation of the printed actuators are examined. The experimental results show that the orientation degree is enhanced, resulting in a better swelling effect as the printing speed increases. Then, motivated by the actuation mechanism of skeletal muscle, we prepare active fiber-dominated actuators using active polyurethane fibers via 4D printing and pre-stretching method. The effect of fiber angle and loading on the actuation mode is experimentally analyzed. The experimental results show that the rotation angle of the actuator gradually decreases with the angle from 45° to 60°. When the fiber angle is 0° and 90°, the driver basically stops rotating while shrinking along the loading direction. Based on the above actuation mechanisms, identical contraction behaviors are realized both in passive and active fiber-dominated soft actuators. This work provides a validation method for biologically actuation mechanisms via 4D printing technique and smart materials and adds further insights to the design of bioinspired soft actuators.
Do School-Level Anti-Bullying Interventions Affect Prescriptions of Prescribed Drugs in Young Adulthood? A Case Using the Olweus Bullying Prevention Program
Authors: Borgen Nicolai Topstad , Olweus Dan , Breivik Kyrre , Kirkebøen Lars Johannessen , Solberg Mona Elin , Frønes Ivar , Cross Donna , Raaum Oddbjørn 
Published: December 2022

AbstractSeveral meta-analyses have demonstrated that bullying prevention programs are successful in reducing bullying. However, scant research addresses if and how such anti-bullying efforts affect long-term internalizing health problems and even less on later use of pharmacotherapy and psychotherapy. This study explores how the school-based Olweus Bullying Prevention Program (OBPP) affects the likelihood of being prescribed antidepressant drugs, anxiolytics, hypnotics, and sedatives, using a difference-in-difference design with population-wide Norwegian register data, including the Norwegian Prescription Database. Generally, we find that student cohorts from schools with a higher proportion of victimized students have more prescribed drugs at ages 17–22. Although OBPP substantially reduces victimization, and, hence, assumedly internalizing problems, our results indicate that the OBPP increased the likelihood of being prescribed drugs for internalizing problems between ages 17 and 19. Our interpretation of these findings is that the OBPP had increased awareness of bullying in school and its damaging consequences, and thereby reduced the mental and attitudinal barriers that often prevent students from seeking help for internalizing problems. It should be noted, however, that the victimization data in our study were linked to schools only and not to register data for individual students. Accordingly, we were restricted to studying average program effects at the school level. The power to detect long-term effects would have been better with student-linked data for both the victimization and register variables.
Anamorphic Visualization of the Space-Time-Paradigm by Geodetic Network Adjustment
Authors: Feicht Tamara , Schmitt Andreas 
Published: December 2022

AbstractThe steadily increasing urbanization results in a continuous areal expansion of urban agglomerations and generates the need for effective intra- and inter-urban mobility. In fact, travel time plays the key role for daily commuters, not necessarily the distance between residence and work. Thus, the space-time-ratio is a quality measure for the respective traffic network. This study explores the spatio-temporal distance ratio between 97 German cities along the current road and railroad infrastructure by the help of geodetic network adjustment methods. The method bases on a highly dynamic network of 9312 connections and estimates new locations for the cities with respect to their geographic location and the required travel time. Cartographic design methods are applied to generate a non-central spatio-temporal cartogram. The resulting anamorphic map clearly denotes urban agglomerations with outstanding transport infrastructure, but also cities that are not adequately integrated in the national mobility network. This approach provides insight information with a high impact on future transport infrastructure planning.