bluuebunny/crossref_metadata_2025 huggingface dataset:
La Terapia ocupacional y la atención plena para el cuidado de personas mayores. Revisión documental
Authors: Ruano Coral Daniela Silvana , Imbajoa Imbajoa Yuleicy Mildre , Yarce Pinzón Eunice
Published: May 2022

El artículo es el resultado de una investigación estudiantil, cuyo objetivo fue comprender la aplicación de la práctica del mindfulness para la atención a las personas mayores, desde Terapia Ocupacional y otras disciplinas, según las publicaciones científicas realizadas desde el año 2000 hasta 2020, de diversos estudios publicados a nivel internacional, nacional y regional. Se plasmó la conceptualización de esta técnica de meditación procedente de la tradición budista, la cual no tiene traducción exacta al español, pero es mencionada por varios autores como ‘atención plena’ o ‘conciencia plena’, que le permite al ser humano, hacer conciencia de forma plena de los sucesos ocurridos en la vida cotidiana, buscando direccionarlo hacia una conducta más adaptativa, promoviendo la regulación emocional, destrezas cognitivas e independencia, mejorando así la satisfacción en su calidad de vida. Para la Terapia Ocupacional en personas mayores, el mindfulness se orienta hacia las actividades de la vida diaria, pretendiendo que ellas tengan menos alteraciones cognitivas y funcionales, manteniendo la independencia y participación de su desempeño ocupacional.
Der Pfarrer im Don Quijote und die Pastoralmedizin
Authors: Strosetzki Christoph
Published: May 2022

While medicine is responsible for the body, theology is concerned with the soul For Aristotle, Plato, Suárez, Vives and Sabuco, the soul is the cause of the body and its health Therefore, in Don Quixote, who suffers from a mental illness, the efforts of the barbero and the doctors related to the body seem ridiculous In contrast, the cura, i e the pastor, with his attempts at healing, appears to be the better doctor, especially when he also creates a healing social environment as a peacemaker, practical helper and encourager In this way, he corresponds to biblical,church-historical and contemporary ideas After all, pastoral medicine stands in the tradition of medicina clericalis and the idea of a Christus medicus, which was opposed to the ancient cult of Asclepius
Піднасувні підняття в карпатському регіоні та перспективи їхньої нафтогазоносності
Authors: Monchak L. S. , Anikeyev S. G.
Published: May 2022

У статті розглянуто перспективи нафтогазоносності мезозойських і неогенових відкладів у піднасувних підняттях у зовнішній зоні Прикарпатського прогину, в межах Прикарпатського грабена і південно-західніше грабена, тобто в межах Складчастих Карпат. Передбачається, що більшість цих підняттів складені мезозойськими теригенно-карбонатними породами, частково неогеновими й палеогеновими нафтовими породами, які мають колекторські властивості, і перекриті неогеновими моласами й насунутим комплексом флішевих порід. В умовах Карпатського орогена сейсморозвідкою не завжди вдається визначити положення склепіння споруд через недостатню простежуваність горизонтів відбиття. Пошукове буріння часто виявляється безуспішним. Тому розроблення нових недорогих методів прогнозування нафтогазоперспективних підняттів є актуальним. Представлена методика інтерпретації геолого-гравіметричних матеріалів. Ці підняття виділяються в результаті аналізу геолого-геофізичних матеріалів, зокрема геолого-тектонічних карт, даних буріння, карт гравітаційних аномалій та даних геолого-гравіметричного моделювання за профілями, які зазвичай перетинають склепіння підняттів. Геолого-гравіметричне моделювання ґрунтується на розв’язанні зворотної задачі гравіметрії. Геолого-тектонічна характеристика перспективних ділянок ілюструється структурними картами й геощільнісними розрізами, які побудували автори. Геощільнісні моделі геологічних розрізів узгоджуються з гравітаційними аномаліями. Кількість виявлених підняттів перевищує 50. Ряд підняттів, крім тих, які під ложем Карпат, розміщується на порівняно невеликих глибинах, доступніших для буріння. Рекомендовано місця для буріння пошукових свердловин.
UZAKTAN VE YÜZ YÜZE EĞİTİM KOŞULLARININ PEYZAJ MİMARLIĞI BÖLÜMÜ ÖĞRENCİLERİ ÖRNEĞİNDE DEĞERLENDİRİLMESİ
Authors: ÖZHANCI Esra , TIRNAKÇI Aslihan , YÜCEKAYA Murat , AKLIBAŞINDA Meliha
Published: May 2022

Pandemi, dünya üzerinde birden fazla ülke ve kıtada, geniş bir alanda yayılış gösteren direkt ya da dolaylı olarak tüm insanlığı etkileyen salgın hastalıkların genel adıdır. 2019 yılı sonunda Çin’de ortaya çıkarak dünyaya yayılan Covid-19 Koronavirüs salgını da geçen iki yılın ardından hala etkileri devam eden bir pandemi niteliği taşımaktadır. Bu etkiler, sağlık boyutuyla ağır tablolar ve ölümlü vakalara kadar varırken, sosyo-ekonomik yönüyle de insan faaliyetlerinin her seviyesinde etkin düzenlemeler ve kısıtlamalara yol açmaktadır. Derinden etkilenen sektörlerden biri de eğitim-öğretim sektörüdür. Pandemi ile birlikte dünyada ve Türkiye’de farklı düzenlemelerle uzaktan eğitim çalışmaları uygulanmaya başlanmıştır. Bu süreçte Nevşehir Hacı Bektaş Veli Üniversitesi’nde de eğitim-öğretime uzaktan devam edilmesi kararlaştırılmıştır. Bu çalışmada; uygulamalı ders yoğunluğu olan meslek disiplinlerinden biri olan peyzaj mimarlığı bilim dalı lisans öğrencilerinin deneyim ve düşüncelerinin saptanması yoluyla, uzaktan ve yüz yüze eğitim süreçlerinin öğrenci verimi açısından avantaj ve dezavantajları belirlenmeye çalışılmış, ortaya çıkan bulgular üzerinden değerlendirmeler yapılmıştır. Uzaktan eğitim sürecinde; öğrencilerin özellikle uygulamalı derslerde dersi anlamada zorluk yaşadıkları ancak ödev hazırlamanın daha kolay olduğu, genel sorunların kişisel adaptasyon eksikliğinden kaynaklandığı, sosyal hayatın içinde daha başarılı ve mutlu oldukları, mesleki açıdan gelişimde ve zamanı verimli kullanmak için iyi bir fırsat olduğu sonuçları ortaya çıkmıştır.
Are healthcare providers offering the proper education for people with low back pain? Content analysis of educational materials
Authors: Alamam Dalyah , Alhowimel Ahmed , Alodaibi Faris , Alsobayel Hana
Published: May 2022

BACKGROUND: Low back pain (LBP) is a prevalent disorder and leading cause of disability worldwide. In Saudi Arabia, patients with LBP are dispensed with educational materials to supposedly facilitate their recuperation. OBJECTIVE: Appraise the suitability of educational materials provided for people with LBP in Saudi Arabia to determine whether they meet the needs of patients, inform self-management, and are consistent with clinical practice guidelines. METHODS: A qualitative data collection method was used, and content analyses were conducted to analyse data based on manifest content. Educational items in English and Arabic were collected from relevant health providers in Saudi Arabia. RESULTS: Seventeen educational materials were sourced from: Ministry of Health hospitals (n= 10), military hospitals (n= 4), private hospitals (n= 2), and a multidisciplinary healthcare association (n= 1). Six identified sub-themes comprise: epidemiological/anatomical data about LBP (n= 6); causes/risk factors (n= 10); exercise (n= 14) and physical activity-related (n= 3) recommendations; treatment-related recommendations (n= 2); general health and lifestyle-related recommendations (n= 8); and postural and ergonomics-related recommendations (n= 13). A common theme emerged, that ‘the content of educational materials hindered reassurance and self-management for people with LBP.’ CONCLUSION: The reviewed educational materials fail to adequately report information that assure patients or inform their self-management among the Saudi population with LBP. Further, reviewed items are heavily influenced by the biomedical model of pain.
Investigation of the relationship between the clinical evaluation results of lumbar region muscles with cross-sectional area and fat infiltration
Authors: Yazici Alikemal , Yerlikaya Tuba
Published: May 2022

BACKGROUND: The relationship between the endurance of the lumbar paraspinal muscles and morphological changes needs to be clarified. In this context, the importance can be revealed of increasing the endurance level of the paraspinal muscles in the prevention and treatment of low back diseases. OBJECTIVE: The aim of this study was to examine the relationship between the clinical evaluation results of the cross-sectional area (CSA) and fat infiltration of the lumbar deep paraspinal muscles. METHODS: The study included 37 patients with mechanical low back pain (mechanical), 41 patients with lumbar hernia without root compression (discopathy) and 36 healthy individuals as a control group. The functional status of the lumbar deep paraspinal muscles was evaluated clinically with muscle endurance tests. The fat infiltration and CSA of the muscles were evaluated on axial MRI sections at the L3-S1 level. RESULTS: The mean values of the prone bridge, Biering-Sorenson, and trunk flexion tests were seen to be highest in the control group and lowest in the discopathy group (p< 0.001). In all tests, the longest test period was obtained at < 10% fat infiltration and the shortest at > 50% fat infiltration. It was observed that as the amount of fat infiltration of the muscles increased, the test times were shortened. There was no significant relationship between the endurance level and the CSA of the groups. CONCLUSION: The study results demonstrated that the endurance of the paraspinal muscles is associated with the fat infiltration of the muscles. In patients with chronic low back pain, information about muscle morphology and degeneration can be obtained with simple endurance tests without the need for further measurements. On clinical examination, a weak endurance level of the paraspinal muscles indicates the presence of a low back problem and an increase in the amount of fat infiltration.
Extensions of two constructions of Ahmad
Authors: Goh Jun Le , Lempp Steffen , Ng Keng Meng , Soskova Mariya I.
Published: May 2022

In her 1990 thesis, Ahmad showed that there is a so-called “Ahmad pair”, i.e., there are incomparable Σ 2 0 -enumeration degrees  a 0 and  a 1 such that every enumeration degree x < a 0 is ⩽ a 1 . At the same time, she also showed that there is no “symmetric Ahmad pair”, i.e., there are no incomparable Σ 2 0 -enumeration degrees  a 0 and  a 1 such that every enumeration degree x 0 < a 0 is ⩽ a 1 and such that every enumeration degree x 1 < a 1 is ⩽ a 0 . In this paper, we first present a direct proof of Ahmad’s second result. We then show that her first result cannot be extended to an “Ahmad triple”, i.e., there are no Σ 2 0 -enumeration degrees  a 0 , a 1 and  a 2 such that both ( a 0 , a 1 ) and ( a 1 , a 2 ) are an Ahmad pair. On the other hand, there is a “weak Ahmad triple”, i.e., there are pairwise incomparable Σ 2 0 -enumeration degrees  a 0 , a 1 and  a 2 such that every enumeration degree x < a 0 is also ⩽ a 1 or ⩽ a 2 ; however neither ( a 0 , a 1 ) nor ( a 0 , a 2 ) is an Ahmad pair.
Soft computing and image processing techniques for COVID-19 prediction in lung CT scan images
Authors: Appari Neeraj Venkatasai L. , Kanojia Mahendra G.
Published: May 2022

COVID-19 is a contagious respiratory illness that can be passed from person to person. Because it affects the lungs, damages blood arteries, and causes cardiac problems, COVID-19 must be diagnosed quickly. The reverse transcriptase polymerase chain reaction (RT-PCR) is a method for detecting COVID-19, but it is time consuming and labor expensive, as well as putting the person collecting the sample in danger. As a result, clinicians prefer to use CT scan and Xray images. COVID-19 classification can be done manually, however AI makes the process go faster. AI approaches include image processing, machine learning, and deep learning. An AI model is required to diagnose COVID-19, and a dataset is necessary to train that model. A dataset consists of the information from which the model is trained. This paper consists of the review of different image processing, machine learning and deep learning papers proposed by different researchers. As well as models based on deep learning and pretrained model using gradient boosting algorithm The goal of this paper is to provide information for future researchers to work with.
Object detection using depth completion and camera-LiDAR fusion for autonomous driving
Authors: Carranza-García Manuel , Galán-Sales F. Javier , Luna-Romera José María , Riquelme José C.
Published: May 2022

Autonomous vehicles are equipped with complimentary sensors to perceive the environment accurately. Deep learning models have proven to be the most effective approach for computer vision problems. Therefore, in autonomous driving, it is essential to design reliable networks to fuse data from different sensors. In this work, we develop a novel data fusion architecture using camera and LiDAR data for object detection in autonomous driving. Given the sparsity of LiDAR data, developing multi-modal fusion models is a challenging task. Our proposal integrates an efficient LiDAR sparse-to-dense completion network into the pipeline of object detection models, achieving a more robust performance at different times of the day. The Waymo Open Dataset has been used for the experimental study, which is the most diverse detection benchmark in terms of weather and lighting conditions. The depth completion network is trained with the KITTI depth dataset, and transfer learning is used to obtain dense maps on Waymo. With the enhanced LiDAR data and the camera images, we explore early and middle fusion approaches using popular object detection models. The proposed data fusion network provides a significant improvement compared to single-modal detection at all times of the day, and outperforms previous approaches that upsample depth maps with classical image processing algorithms. Our multi-modal and multi-source approach achieves a 1.5, 7.5, and 2.1 mean AP increase at day, night, and dawn/dusk, respectively, using four different object detection meta-architectures.
A multi-center clustering algorithm based on mutual nearest neighbors for arbitrarily distributed data
Authors: Tong Wuning , Wang Yuping , Liu Delong , Guo Xiulin
Published: May 2022

Multi-center clustering algorithms have attracted the attention of researchers because they can deal with complex data sets more effectively. However, the reasonable determination of cluster centers and their number as well as the final clusters is a challenging problem. In order to solve this problem, we propose a multi-center clustering algorithm based on mutual nearest neighbors (briefly MC-MNN). Firstly, we design a center-point discovery algorithm based on mutual nearest neighbors, which can adaptively find center points without any parameters for data sets with different density distributions. Then, a sub-cluster discovery algorithm is designed based on the connection of center points. This algorithm can effectively utilize the role of multiple center points, and can effectively cluster non-convex data sets. Finally, we design a merging algorithm, which can effectively obtain final clusters based on the degree of overlapping and distance between sub-clusters. Compared with existing algorithms, the MC-MNN has four advantages: (1) It can automatically obtain center points by using the mutual nearest neighbors; (2) It runs without any parameters; (3) It can adaptively find the final number of clusters; (4) It can effectively cluster arbitrarily distributed data sets. Experiments show the effectiveness of the MC-MNN and its superiority is verified by comparing with five related algorithms.
A novel MCDM ensemble approach of designing an ELM based predictor for stock index price forecasting
Authors: Samal Sidharth , Dash Rajashree
Published: May 2022

In support of its faster learning capacity and better generalization, Extreme Learning Machine (ELM) has gained the attention of researchers as a means to solve various real-world prediction problems. However, the performance of ELM is heavily dependent on the activation functions used in it. In this study, design of ELM is addressed as a Multi Criteria Decision Making (MCDM) problem. The selection of the activation function for the ELM based predictor model is done through a novel MCDM ensemble approach. On the basis of 9 prediction metrics, MCDM techniques such as TOPSIS, PROMETHEE-II, and VIKOR were used to assess and rank 15 activation functions on ELM performance. In light of the fact that the ranks determined by each MCDM technique do not coincide, a novel ensemble approach was proposed to calculate the final rank score by considering the occurrences of each model in the primary ranking and its respective rank score. In the end, the most highly ranked activation function is taken into account in the ELM-based predictor model. The proposed model is assessed over three benchmark stock indices such as BSE SENSEX, NIFTY 50 and BSE S&P 500. The empirical analysis clearly shows that the ELM based predictor model designed using ELU activation function performs competitively compared to other reported models.
Using hybrid-CBR for intelligence monitoring and decision-making systems on SMART grid
Authors: Glukhikh Dmitry , Shchinnikov Ilya , Glukhikh Igor
Published: May 2022

Smart grid systems are being actively developed and implemented all over the world. However, along with developed systems for monitoring and data analysis, decision support functions are not fully implemented. Wherein decision support is necessary due to the complexity of possible emergencies. In this work, we offer the concept of an intelligent decision support system (IDSS) for the SMART grid, which is based on the hybrid Case-Based Reasoning (CBR) method. This method combines models of knowledge-based systems and models of neural networks and machine learning, which simplifies realization on complex changing objects of the SMART grid. In the first part of the research, we describe the concept of the proposed hybrid-CBR method, the principle of formalizing the situation at the objects of the SMART grid systems and present the involved neural network architecture Comparator-Adder. The second parts of the research reveal the concept of applied IDSS and also show the results of an experiment of retrieving precedent from a knowledge base with using a neural network. Experimental results show that our architecture successfully copes with the task of selecting the most similar situation. We believe that the MAPE error in this incident does not play a key role; the efficiency of the neural network is confirmed primarily by the coherence with the results of the expert choice and the absence of collisions.
COVID-19 and Neurodegenerative Diseases: Prion-Like Spread and Long-Term Consequences
Authors: Baazaoui Narjes , Iqbal Khalid
Published: May 2022

COVID-19 emerged as a global pandemic starting from Wuhan in China and spread at a lightning speed to the rest of the world. One of the potential long-term outcomes that we speculate is the development of neurodegenerative diseases as a long-term consequence of SARS-CoV-2 especially in people that have developed severe neurological symptoms. Severe inflammatory reactions and aging are two very strong common links between neurodegenerative diseases and COVID-19. Thus, patients that have very high viral load may be at high risk of developing long-term adverse neurological consequences such as dementia. We hypothesize that people with neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, and aged people are at higher risk of getting the COVID-19 than normal adults. The basis of this hypothesis is the fact that SARS-CoV-2 uses as a receptor angiotensin-converting enzyme 2 to enter the host cell and that this interaction is calcium-dependent. This could then suggest a direct relationship between neurodegenerative diseases, ACE-2 expression, and the susceptibility to COVID-19. The analysis of the available literature showed that COVID-19 virus is neurotropic and was found in the brains of patients infected with this virus. Furthermore, that the risk of having the infection increases with dementia and that infected people with severe symptoms could develop dementia as a long-term consequence. Dementia could be developed following the acceleration of the spread of prion-like proteins. In the present review we discuss current reports concerning the prevalence of COVID-19 in dementia patients, the individuals that are at high risk of suffering from dementia and the potential acceleration of prion-like proteins spread following SARS-CoV-2 infection.
Heterogeneity of PD-MCI in Candidates to Subthalamic Deep Brain Stimulation: Associated Cortical and Subcortical Modifications
Authors: Devignes Quentin ,   for the PREDISTIM working group, Daoudi Sami , Viard Romain , Lopes Renaud , Betrouni Nacim , Kuchcinski Gregory , Rolland Anne-Sophie , Moreau Caroline , Defebvre Luc , Bardinet Eric , Bonnet Marie , Brefel-Courbon Christine , Delmaire Christine , El Mountassir Fouzia , Fluchère Frédérique , Fradet Anne , Giordana Caroline , Hainque Elodie , Houvenaghel Jean-François , Jarraya Béchir , Klinger Hélène , Maltête David , Marques Ana , Meyer Mylène , Rascol Olivier , Rouaud Tiphaine , Tir Melissa , Wirth Thomas , Corvol Jean-Christophe , Devos David , Dujardin Kathy
Published: May 2022

Background: Parkinson’s disease mild cognitive impairment (PD-MCI) is frequent and heterogenous. There is no consensus about its influence on subthalamic deep brain stimulation (STN-DBS) outcomes. Objective: To determine the prevalence of PD-MCI and its subtypes in candidates to STN-DBS. Secondarily, we sought to identify MRI structural markers associated with cognitive impairment in these subgroups. Methods: Baseline data from the French multicentric PREDISTIM cohort were used. Candidates to STN-DBS were classified according to their cognitive performance in normal cognition (PD-NC) or PD-MCI. The latter included frontostriatal (PD-FS) and posterior cortical (PD-PC) subtypes. Between-group comparisons were performed on demographical and clinical variables as well as on T1-weighted MRI sequences at the cortical and subcortical levels. Results: 320 patients were included: 167 (52%) PD-NC and 153 (48%) PD-MCI patients. The latter group included 123 (80%) PD-FS and 30 (20%) PD-PC patients. There was no between-group difference regarding demographic and clinical variables. PD-PC patients had significantly lower global efficiency than PD-FS patients and significantly worse performance on visuospatial functions, episodic memory, and language. Compared to PD-NC, PD-MCI patients had cortical thinning and radiomic-based changes in the left caudate nucleus and hippocampus. There were no significant differences between the PD-MCI subtypes. Conclusion: Among the candidates to STN-DBS, a significant proportion has PD-MCI which is associated with cortical and subcortical alterations. Some PD-MCI patients have posterior cortical deficits, a subtype known to be at higher risk of dementia.
Characterization of neuropathic component of back pain in patients with osteoporotic vertebral fractures
Authors: Moretti Antimo , Liguori Sara , Paoletta Marco , Toro Giuseppe , Aulicino Milena , Gimigliano Francesca , Iolascon Giovanni
Published: May 2022

BACKGROUND: Osteoporotic vertebral fractures (OVFs) are often followed by chronic back pain which may have a nociceptive, neuropathic, or mixed component. However, literature on this topic is lacking. OBJECTIVE: The objective of this cross-sectional study is to characterize the neuropathic component of chronic back pain in patients with OVFs. METHODS: Spine fractures were detected by morphometric examination. Pain severity and its impact on activities of daily living (ADL) were evaluated through the Brief Pain Inventory (BPI). Neuropathic pain was investigated through the Italian versions of the Leeds Assessment of Neuropathic Symptoms and Signs pain scale (LANSS) and the painDETECT questionnaire (PD-Q). RESULTS: We included 72 patients, mainly women (88.8%), with mean age of 69.2 years. The 70.8% of patients had multiple OVFs, of which 47% located at the thoracic spine, 43.1% at the thoracic and at lumbar spine, and 9.8% at the lumbar spine. The BPI showed moderate back pain in 23.6% of cases and severe in 8.3% of cases, with high interference with ADL in 38.9% of patients. The PD-Q revealed the presence of neuropathic pain in 5.5% of cases, while the LANSS in 23.6% of cases. CONCLUSIONS: In our study, the prevalence of neuropathic component of chronic back pain ranged from 5.5% to 23.6%, according to PD-Q and LANSS respectively, in patients with OVFs. Further studies should investigate if the characterization of chronic back pain might contribute to appropriateness of interventions for this population.
Medical Emergency Data and Networks: A German-Canadian Comparison
Authors: Juhra Christian , Born Judith , Borycki Elizabeth M. , Kushniruk Andre W. , Ho Kendall
Published: May 2022

A significant number of problems in emergency care are caused by a lack of provider access to pre-existing patient information at the point of care. Medical Emergency Datasets (MEDs) are brief summarizations of an individual’s medical history, providing vital patient information to emergency medical providers. The German MED was validated by German physicians and – based on an international research project – also by Canadian physicians. Physicians in both countries considered the content very useful. The MED is currently being introduced in Germany as part of the Telematic Infrastructure. At the same time, the COVID pandemic forced healthcare professionals around the work to optimize the digital information exchange among different healthcare providers. While the exchange of data is important, additional personal expert advice is sometimes vital. Real time virtual support systems (RTVS) were introduced in Germany and Canada to support team-based healthcare delivery, independent of the actual location. Such systems have been implemented for intensive care, emergency medicine, primary care and several other medical specialties. These systems serve as a safety net, a funnel (appropriate utilization; linking patients back to primary care networks – thus reducing fragmented or disrupted services) and a medical network by building interprofessional relationships.
Innovative Sensor Technology for Emergency Detection in Life Science Laboratories
Authors: Thurow Kerstin , Neubert Sebastian
Published: May 2022

Chemical, analytical and biological laboratories use a variety of different solvents and gases. Many of these compounds are harmful or even toxic to laboratory personnel. Permanent monitoring of the air quality is therefore of great importance regarding the greatest possible occupational safety and the detection of dangerous situations in the work process. An increasing need exists for the development and application of small and portable sensor solutions that enable personal monitoring and that can be flexibly adapted to different environments and situations. Different sensor principles are available for the detection of gases and solvent vapors, which differ in terms of their selectivity and sensitivity. Besides simple sensing elements, integrated sensors and smart sensors are increasingly available, which, depending on their scope of functions, require a distinct effort in integration. This chapter gives an overview of available sensors and their integration options, and describes ready-to-use sensor systems for personal monitoring in life science laboratories.
Using the Taxonomy of Patient Portals to Classify the ELGA Patient Portal
Authors: Glöggler Michael , Ammenwerth Elske
Published: May 2022

Background: Patient portals may support patient engagement, yet they may differ largely in their characteristics. Objectives: To compare the Austrian patient portal with 10 portals from six other countries using the TOPCOP Taxonomy. Methods: We described the portals using openly available information. Results: The Austrian patient portal shows basic functionality but lacks further functions that other portals partly offer. Conclusion: Comparing portals using TOPCOP is possible and shows functions to improve usefulness of portals.
mBalance: Detect Postural Imbalance with Mobile Devices
Authors: Aldenhoven Céline Madeleine , Reimer Lara Marie , Jonas Stephan
Published: May 2022

Background: Postural imbalance can be adopted for the early detection of age-related diseases or monitoring the course of the disease treatment; especially in monitoring, frequent balance measurement is crucial. This is mainly done through regular in-person examinations by a physician currently. Feedback in between examinations is often missing. Objectives: This paper proposes mBalance, a mobile application that uses the Romberg test to detect postural imbalance. mBalance provides a camera-based, low-cost approach to measure imbalance frequently at home using mobile devices. Methods: Imbalance detection accuracy and usability was evaluated in two separate studies with 31 and 30 participants, respectively. Results: mBalance correctly detected imbalance with a sensitivity of 80% and a specificity of 87%. The study found good usability with no significant problems. Conclusion: Overall, this study solves the problem of postural imbalance detection by digitizing a validated balance test into an easy-to-use mobile application.
Communication and Decision Support Tool for an In-Hospital 3D Printing Service
Authors: Bonacorsi Federico , Capelli Serena , Locatelli Fabio , Todeschini Mattia , Marconi Stefania , Vitali Andrea , Lanzarone Ettore
Published: May 2022

Background: Effective communication is a key factor in healthcare, essential for improving process efficiency and quality of care. This is particularly true in new services, e.g., the 3D printing service inside the hospital. Objectives: A web platform, called 3DSCT, has been developed to act as an interface between the three categories of operators involved in 3D printing: physicians, radiologists and engineers. Methods: The 3DSCT platform has been designed using Microsoft Visual Studio Code, enclosing .js scripts and HTML pages with the relative CSS formats. Results: When applied to a real 3D printing service, the 3DSCT platform provided an effective solution that streamlined the process of designing and manufacturing 3D-printed artifacts, from physician’s request through development to printing. Conclusion: By incorporating the platform into the hospital management system, it will be possible to reduce the overall lead time and decrease the waste of time for the operators involved in 3D printing inside the hospital.
TerminoloGit – An Open Source Terminology Server for Large Scale eHealth Environments
Authors: Kleinoscheg Gabriel , Tanjga Nikola , Svec Nina , Rainer-Sablatnig Stephan , Sabutsch Stefan
Published: May 2022

Semantic interoperability is the centerpiece of successful communication between information systems within the health care system. As such, a terminology server provides information systems with the concepts needed for coding information accordingly. As the current Austrian terminology server does not meet all requirements anymore, a new terminology server is necessary. Consequently, after an unsuccessful call for bids, the Semantic Competence Center (SCC) of the ELGA GmbH set up a technologically more advanced solution for a new terminology server. The result is a Git based architecture in combination with the HL7® FHIR® IG publisher complemented by a FHIR® server and some in-house developments. The Git repository is hosted on GitLab.com, hence, allowing the use of GitLab’s CI/CD functionalities for publishing the contents. Since the 1 January 2022 the new terminology server “TerminoloGit” is operational and provides 171 code lists and 141 value sets. Using open-source components only and making all parts of the system publicly available results in a cost-effective solution which may also be improved by the open-source community.
Evidence-Based Mobile Wound Application to Support Professionals in State-of-the-Art Chronic Wound Treatment
Authors: Schnalzer Bianca , Huber Simone , Sumerauer Isabella , Preininger Maria , Alcalde Baptiste , Mischak Robert
Published: May 2022

Background: One of the most important tasks within wound management and the basis of successful wound care is a clear and accurate nursing documentation which can be created in various ways. However, this documentation is only partially standardized mainly due to the interdisciplinarity of this task. Objectives: The goal is to overcome interdisciplinary boundaries in home care between health professionals, and to increase the patient’s motivation to actively participate in wound healing by providing consistent structure and guidance. In this paper, the development of a mobile wound documentation application is described. Methods: Comprehensive literature reviews were conducted on state-of-the-art wound documentation as well as on machine learning frameworks, databases and mobile app development technologies. Results: As a result, a mobile wound application with Flutter, SQLite and Tensorflow Lite was developed. During the development process interoperability was considered to enable future extensibility. Conclusion: Further development in respect of backend and API is planned, involving user field tests.
Shaping the Future of Health Data: A Scenario-Based Approach
Authors: Ohse Sarah , Fink Alexander , Meyer Beat
Published: May 2022

Background: The European health care industry faces massive changes which impose new challenges on its stakeholders. Objective: In this paper, we present the results of a market-based analysis for upcoming changes in the European health care industry and what this specifically means for issues corresponding to data. Method: Scenarios are a common tool to explain and analyze future changes in business environments. This method was used in a series of workshops together with an interdisciplinary group of experts. Results: Ten individual scenarios represent potential futures with distinctive subsets of data landscapes. Their assessment shows that the expected future of health data is still rather unclear, while desired changes are quite distinct. Conclusion: The Health Data Scenarios offer a comprehensive framework for analyzing future data-driven developments in the health care industry.
Citizens in Search for a Place in the Digital Health Data Space: A Case Study
Authors: Felt Ulrike , Öchsner Susanne , Rae Robin
Published: May 2022

Background: Digital health solutions have been omnipresent in policy agendas. However, we still need to better understand how citizens experience these developments and, more specifically, how citizens would ideally want such solutions to look like. Objective: We explore the needs and concerns citizens expressed in different phases of the co-creation process for a prototype of a citizen-centred health data platform within a large-scale European project: Smart4Health. Method: We follow a qualitative approach in our analysis of 9 discussion groups in addition to a diverse set of 49 qualitative interviews with citizens and health care professionals. Results: We show how citizens identify the positive potential of health data infrastructures and how they relate digital health to wider developments in contemporary societies. We then outline citizens’ concerns that potentially prevent them from becoming users and thus destabilize the policy vision of digital health. Conclusion: Four preconditions need to be met for citizens to find their place within a digital health data environment: transparency/trust, infrastructural literacy, digital justice, and a careful consideration of the distribution of responsibilities.
Adherence to the Data Submission Protocol in a Diabetes Telehealth Service Pre and Post Deployment of an Adherence Optimization Module
Authors: Hayn Dieter , Falgenhauer Markus , Czerny Sabine , Hoffmann Florian , Kastner Peter
Published: May 2022

Background: Telehealth services for chronic diseases are becoming more and more popular since they are expected to improve health outcomes and reduce costs. Especially for diabetes patients, life-long disease management is required. However, there are situations in a patient’s life, when motivation to continue the participation in disease management programs is low and the dropout-risk is high. Objectives: We analysed if an adherence management module provided to healthcare professionals within a pre-existing diabetes telehealth service can improve the long-term adherence. Methods: The adherence to the agreed data submission protocol was determined prior and post implementation of the adherence management module. Results: Adherence to the agreed data submission protocol was higher after implementation of the adherence management module as compared to previous years. Conclusion: Adherence to the agreed data submission protocol can be improved by helping healthcare professionals to identify patients at risk of dropout. Further analyses are indicated to proof these results in a prospective study.
Impact Analysis of De-Identification in Clinical Notes Classification
Authors: Baumgartner Martin , Schreier Günter , Hayn Dieter , Kreiner Karl , Haider Lukas , Wiesmüller Fabian , Brunelli Luca , Pölzl Gerhard
Published: May 2022

Background: Clinical notes provide valuable data in telemonitoring systems for disease management. Such data must be converted into structured information to be effective in automated analysis. One way to achieve this is by classification (e.g. into categories). However, to conform with privacy regulations and concerns, text is usually de-identified. Objectives: This study investigated the effects of de-identification on classification. Methods: Two pseudonymisation and two classification algorithms were applied to clinical messages from a telehealth system. Divergence in classification compared to clear text classification was measured. Results: Overall, de-identification notably altered classification. The delicate classification algorithm was severely impacted, especially losses of sensitivity were noticeable. However, the simpler classification method was more robust and in combination with a more yielding pseudonymisation technique, had only a negligible impact on classification. Conclusion: The results indicate that de-identification can impact text classification and suggest, that considering de-identification during development of the classification methods could be beneficial.
Open Infrastructure for Standardization of HL7® FHIR® Implementation Guides in Austria
Authors: Egelkraut Reinhard , Traxler Barbara , Helm Emmanuel , Krauss Oliver , Schuler Andreas
Published: May 2022

Background: HL7 Austria is a non-profit association dedicated to improving electronic data communication and interoperability in healthcare using the HL7 international standards. Objectives: We aim to provide an open infrastructure to develop, manage, and maintain HL7 FHIR implementation guides. Methods: We utilize state-of-the-art open-source tooling developed by the FHIR community to support continuous integration. Results: The implementation guides can be published as static HTML websites and maintained using GitHub. Conclusion: The solution supports all steps of a standard’s lifecycle, from drafting and reviewing to balloting, publishing, and maintenance.
Service Robots for Context Recognition in Smart Environments
Authors: Dengler Simon , Bauer Jochen , Waldhör Klemens , Ristok Bruno , Franke Jörg
Published: May 2022

Background: A new concept for context recognition involves a smart home system, wearables, and service robots. Objectives: To find the best suited robot platform for the given use case. Methods: An assessment of available service robots based on various factors is carried out. Results: The OpenBot is best suited for the further development of this concept. Conclusion: The new concept will increase the precision and reliability in context recognition.
An Easy-to-Use Platform for Reporting COVID-19 Patients by Private Offices and Clinics Without IT Support: A Pilot Study
Authors: Sabermahani Farveh , Manafimourkani Anahita , Bitaraf Ehsan , Seifi Nahid , Chinichian Mahdi , Ghaemi Adel , Farhadi Leila-Sadat , Sheikhtaheri Abbas
Published: May 2022

Background: It is feasible to collect data rapidly and online using IT solutions. Objectives: To present a data collection platform for COVID-19 suspected patients in private offices and clinics without a standard software. Methods: The proposed system for collecting and sharing data of patients with respiratory symptoms was designed to be simple to use, without the need for special technology, and with proper security to authenticate reporters. Results: Two methods were developed to collect data from private physicians and offices. Finally, the data collected by both approaches is integrated and provided to primary healthcare staff to arrange appropriate healthcare measures. Conclusion: Our platform can provide an easy-to-use case reporting system for private physicians.
Alex Demirovic über das Staatsverständnis von Poulantzas als gesellschaftliches Verhältnis
Authors: Jessop Bob , Schmidt (Übersetzung) Dorothea
Published: May 2022

Der Beitrag erörtert, wie sich Poulantzas’ Analyse von Recht, staatlicher Macht, sozialen Klassen und politischer Strategie entwickelt hat. Danach wird gezeigt, wie Alex Demirovic Aspekte von Poulantzas aufgegriffen und mit anderen staatstheoretischen Fragen verbunden hat. Der zentrale Bezugspunkt ist dabei die überarbeitete und erweiterte Ausgabe der Monografie von Demirovic’ Nicos Poulantzas (2007).
Sorge, Emotionen und Affekt
Authors: Sauer Birgit
Published: May 2022

Aktuelle Entwicklungen in westlichen Demokratien verlangen eine gesellschaftstheoretische Konzeptualisierung von Demokratie, nämlich des Zusammenhangs von Kapitalismus, Patriarchat, Staat und Demokratie. Die Arbeiten von Alex Demirovic leisteten für ein solch feministisch-materialistisches Theorieprojekt zentrale Übersetzungsarbeit. Der Artikel treibt nun diese feministisch-materialistischen Überlegungen zu Staat und Demokratie weiter, verknüpft sie mit aktuellen queer-feministischen Demokratietheorien, die Sorge ins Zentrum stellen, und entwickelt eine Theorie »affektiver Demokratie«. Das Affekt-Konzept soll die körperlich-materialistische Ergänzung von sozialen Verhältnissen bilden, aus denen Staat sowie demokratische Freiheitsgewinne entstehen.
Bibliometric Analysis of Carbon Accounting Research
Authors: Kuriawan Kurniawan , Subowo Hery , Firmansyah Irman
Published: May 2022

The issue of the environment continues to receive special attention from researchers. This is related to business operations' importance in paying attention to the profit aspect and environmental impacts to maintain the surrounding environment. Therefore, activities that affect carbon emissions must be reported annually. This is called carbon accounting. This study aims to map carbon accounting articles for 2012 to 2021 on the dimensions.ai database. Using the keyword 'carbon accounting', the collected data was 500 articles. The study results found that the journal most relevant to carbon accounting is ‘The Science of the Total Environment’. Meanwhile, the journals that have the most significant impact are ‘Global Change Biology’, ‘Scientific Reports’, and ‘The Science of the Total Environment’. Meanwhile, the most productive journal is ‘The Science of the Total Environment’, followed by ‘Environmental Science and Pollution Research’. The most relevant and prolific authors were Wang Y, followed by Zhang Y and Zhang X. In addition, Wang Y and Zhang X were the authors who had the greatest impact. The distribution of words in articles with the theme of carbon accounting is dominated by 'carbon' and 'accounting'. This research shows that the theme is undergoing good development. Research data shows that the word 'carbon' is rapidly from 2012 to 2021. This study predicts that articles on carbon accounting will continue to increase in the years to come, especially the themes of 'emissions' and 'study' which have high development although their relevance is quite low. The development of research on carbon accounting is closely related to environmental issues which are currently being studied by many researchers, especially to achieve sustainable development goals.
Evocaciones desde un taller blanco
Authors: Yusti Carlos
Published: May 2022

Quienes estiman el ensayo, para leerlo o escribirlo, no pueden sustraerse al sortilegio de un género que encierra infinitas posibilidades estéticas y literarias. Eugenio Montejo convierte sus reflexiones en torno al acto literario, sea como poeta o lector atento y acucioso, en un trabajo intelectual de buena factura lingüística. Su libro El taller blanco, publicado por primera vez hace algunos años por Fundarte y reeditado en 1996 por el Departamento de Publicaciones de la Universidad Metropolitana de México, recopila un conjunto de ensayos que ejemplifican dominio estilístico y serena claridad lírica para abordar los temas literarios más disímiles.
Development and field testing of a multidimensional tool for benchmarking knowledge worker productivity
Authors: Fernandes Ryan , Carey Daniel , Bortoluzzi Brandon Saverio Knight , McArthur Jennifer
Published: May 2022

The impact of indoor environmental quality on human health and wellbeing has been widely documented, as has its impact on worker productivity in settings such as education, healthcare, and manufacturing. In the knowledge worker context, however, there is limited consensus on agreed metrics for productivity measurement, leading to a paucity of research regarding the impact of specific realworkplace

interventions on worker performance. This paper presents an organizational benchmarking and evaluation tool to permit such tracking within an organization. Based on the results of a systematic literature review, five dimensions are used to evaluate productivity in this context: absenteeism, presenteeism, engagement, self-assessed (individual) productivity, and objective (office-wide) productivity. This

data is collected from organizational reports, individual employee questionnaires, and field data. The resultant tool was refined through a series of public- and private-sector field tests and the evaluation of results was undertaken through post-analysis interviews with organizational partners who provided feedback on the clarity of data as-presented, alignment with known issues, and consistency with other studies. The evaluated tool provides a holistic means of assessing knowledge worker productivity and will support future research to evaluate and quantify the impact of specific interventions in workplace policy and environmental modifications.
Christopher J. Greig, Ontario Boys: Masculinity and the Idea of Boyhood in Postwar Ontario, 1945-1960
Authors: Reid Jason
Published: May 2022

Christopher J. Greig’s new book examines public discourses on boyhood in Ontario during the years following the Second World War. Greig argues that a host of journalists, child-rearing experts, and novelists (among others) used boyhood as a means of rejuvenating patriarchal structures that had been challenged by the decline of the male breadwinner ideal during the Great Depression and the increased participation of women in the workforce during the war. Indeed, if the commentators in Greig’s study are to be believed, the creation of a rugged “boy citizen” who could “promote and protect democracy” was necessary in order to stave off a serious crisis of masculinity (xix).
Основні результати діяльності Міністерства оборони України з реалізації завдань оборонної реформи у 2020-2021 роках та завдання на перспективу
Authors: Таран А. В.
Published: May 2022

У статті висвітлені основні результати діяльності Міністерства оборони України з реалізації оборонної реформи у 2020-2021 рр. та окреслені завдання щодо її продовження на довгострокову перспективу.
Міністерство оборони України визначило такі пріоритети оборонної реформи:
1. Боєздатні Збройні Сили.
2. Підготовлений, оснащений і мотивований військовий резерв.
3. Ефективна територіальна оборона.
Враховуючи національний ресурсний потенціал та пріоритетність ключових завдань (заходів) оборонної реформи, у статті розкрита послідовність їх виконання Міністерством оборони України у короткостроковій, середньостроковій та довгостроковій перспективі відповідно до вимог, визначених Президентом України, Верховною Радою України та Кабінетом Міністрів України щодо розвитку спроможностей Збройних Сил України та інших складових сил оборони з метою гарантування захисту суверенітету та незалежності нашої країни.