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In The Lonely Cold War of Pope Pius XII Peter Kent shows how the Catholic Church was able to continue to exist on both sides of the Iron Curtain in spite of the division of Europe after the Second World War. Although Christian democracy became increasingly influential in western Europe, the struggle to preserve the position and rights of the Church in the east was much more difficult. When east European governments, under Moscow's direction, began their offensive against the independence of the Church in 1948, the papacy found that it stood alone, with little assistance from the U.S. Kent offers a new assessment of Pius XII, extending the study of his career and papacy beyond the Second World War. He also examines the origins of the Cold War, the European perspective on American and Soviet policies, and the diplomatic role and influence of the Roman Catholic Church.

Kryptowährungen versprechen schnelles Geld und Reichtum. Anders als die Goldsucher im vorletzten Jahrhundert brauchen Sie als Anleger oder Investor aber sehr viel mehr technisches Know-how, um in das Krypto-Mining-Spiel einzusteigen. Dieses Buch wurde von zwei Insidern geschrieben. Sie erläutern, welche Hard- und Software Sie brauchen und wie Sie bei der Gewinnung von Bitcoin, Ethereum, Monero, LiteCoin und Dash am besten vorgehen - und zwar so, dass Sie der Konkurrenz voraus sind und Ihren Return on Investment maximieren.

Background: The aims of this pilot trial were to (i) test the hypothesis that modifying patterns of painful lumbo-pelvic movement using motion-sensor biofeedback in people with low back pain would lead to reduced pain and activity limitation compared with guidelines-based care, and (ii) facilitate sample size calculations for a fully powered trial. Methods: A multicentre (8 clinics), cluster-randomised, placebo-controlled pilot trial compared two groups of pati ents seeking medical or physiotherapy primary care for sub-acute and chronic back pain. It was powered for longitudinal analysis, but not for adjusted single-time point comparisons. The intervention group (n?=?58) received modification of movement patterns augmented by motion-sensor movement biofeedback (ViMove, dorsaVi.com) plus guidelines-based medical or physiotherapy care. The control group (n?=?54) received a placebo (wearing the motion-sensors without biofeedback) plus guidelines-based medical or physiotherapy care. Primary outcomes were self-reported pain intensity (VAS) and activity limitation (Roland Morris Disability Questionnaire (RMDQ), Patient Specific Functional Scale (PSFS)), all on 0-100 scales. Both groups received 6-8 treatment sessions. Outcomes were measured seven times during 10-weeks of treatment and at 12, 26 and 52 week follow-up, with 17.0 % dropout. Patients were not informed of group allocation or the study hypothesis. Results: Across one-year, there were significant between-group differences favouring the intervention group [generalized linear model coefficient (95 % CI): group effect RMDQ -7.1 (95 % CI-12.6;-1.6), PSFS -10.3 (-16.6; -3.9), QVAS -7.7 (-13.0; -2.4); and group by time effect differences (per 100 days) RMDQ -3.5 (-5.2; -2.2), PSFS -4.7 (-7.0; -2.5), QVAS -4.8 (-6.1; -3.5)], all p? 30 % at 12-months?=?RMDQ 2.4 (95 % CI 1.5; 4.1), PSFS 2.5 (1.5; 4.0), QVAS 3.3 (1.8; 5.9). The only device-related side-effects involved transient skin irritation from tape used to mount motion sensors. Conclusions: Individualised movement retraining using motion-sensor biofeedback resulted in significant and sustained improvements in pain and activity limitation that persisted after treatment finished. This pilot trial also refined the procedures and sample size requirements for a fully powered RCT. This trial (Australian New Zealand Clinical Trials Registry NCT01572779) was equally funded by dorsaVi P/L and the Victorian State Government.

BACKGROUND: The aims of this pilot trial were to (i) test the hypothesis that modifying patterns of painful lumbo-pelvic movement using motion-sensor biofeedback in people with low back pain would lead to reduced pain and activity limitation compared with guidelines-based care, and (ii) facilitate sample size calculations for a fully powered trial. METHODS: A multicentre (8 clinics), cluster-randomised, placebo-controlled pilot trial compared two groups of patients seeking medical or physiotherapy primary care for sub-acute and chronic back pain. It was powered for longitudinal analysis, but not for adjusted single-time point comparisons. The intervention group (n = 58) received modification of movement patterns augmented by motion-sensor movement biofeedback (ViMove, dorsaVi.com) plus guidelines-based medical or physiotherapy care. The control group (n = 54) received a placebo (wearing the motion-sensors without biofeedback) plus guidelines-based medical or physiotherapy care. Primary outcomes were self-reported pain intensity (VAS) and activity limitation (Roland Morris Disability Questionnaire (RMDQ), Patient Specific Functional Scale (PSFS)), all on 0-100 scales. Both groups received 6-8 treatment sessions. Outcomes were measured seven times during 10-weeks of treatment and at 12, 26 and 52 week follow-up, with 17.0 % dropout. Patients were not informed of group allocation or the study hypothesis. RESULTS: Across one-year, there were significant between-group differences favouring the intervention group [generalized linear model coefficient (95 % CI): group effect RMDQ -7.1 (95 % CI-12.6;-1.6), PSFS -10.3 (-16.6; -3.9), QVAS -7.7 (-13.0; -2.4); and group by time effect differences (per 100 days) RMDQ -3.5 (-5.2; -2.2), PSFS -4.7 (-7.0; -2.5), QVAS -4.8 (-6.1; -3.5)], all p 30 % at 12-months = RMDQ 2.4 (95 % CI 1.5; 4.1), PSFS 2.5 (1.5; 4.0), QVAS 3.3 (1.8; 5.9). The only device-related side-effects involved transient skin irritation from tape used to mount motion sensors. CONCLUSIONS: Individualised movement retraining using motion-sensor biofeedback resulted in significant and sustained improvements in pain and activity limitation that persisted after treatment finished. This pilot trial also refined the procedures and sample size requirements for a fully powered RCT. This trial (Australian New Zealand Clinical Trials Registry NCT01572779) was equally funded by dorsaVi P/L and the Victorian State Government.

Professionelles Vertriebsmanagement Das Standardwerk zum Vertriebsmanagement in neuer Auflage: aktualisiert, gestrafft und ergänzt mit dem Thema Digitalisierung im Vertrieb. Dem Vertriebsmanagement kommt in der markt- und werteorientierten Unternehmensführung eine Schlüsselrolle für den Erfolg zu, denn die Unternehmen leben vom Verkauf ihrer Produkte und Dienstleistungen. Dafür ist ein profundes Verständnis der Vorgänge im Markt und bei den Kundinnen und Kunden erforderlich. Das Konzept des Customer Relationship Managements (CRM) bietet dafür die inhaltliche Basis, dessen kompetente Umsetzung im Vertriebsmanagement ist der wesentliche Erfolgsfaktor zur Erschließung der Markt- und Kundenpotenziale. Das Buch hilft Fach- und Führungskräften in Unternehmen, ihre Kompetenzen im Vertriebsmanagement zu erweitern, und Studierenden, entsprechende Kenntnisse zu erwerben. Im Vordergrund steht die zielorientierte Prozessorganisation des Vertriebsmanagements als Schlüssel zum Erfolg. Die Autoren nutzen dazu das von ihnen entwickelte Referenzmodell aus Selling Cycle und Buying Cycle und berücksichtigen damit sowohl die Anbietersicht als auch die Kundensicht. Für die vorliegende fünfte Auflage haben sie vor allem neue Aspekte der Digitalisierung entlang des gesamten Vertriebsprozesses integriert.

Background: Large-scale clinical registries are increasingly recognized as important resources for quality assurance and research to inform clinical decision-making and health policy. We established a clinical registry (SpineData) in a conservative care setting where more than 10,000 new cases of spinal pain are assessed each year. This paper describes the SpineData registry, summarizes the characteristics of its clinical population and data, and signals the availability of these data as a resource for collaborative research projects. Methods: The SpineData registry is an Internet-based system that captures patient data electronically at the point of clinical contact. The setting is the government-funded Medical Department of the Spine Centre of Southern Denmark, Hospital Lillebaelt, where patients receive a multidisciplinary assessment of their chronic spinal pain. Results: Started in 2011, the database by early 2015 contained information on more than 36,300 baseline episodes of patient care, plus the available 6-month and 12-month follow-up data for these episodes. The baseline questionnaire completion rate has been 93%; 79% of people were presenting with low back pain as their main complaint, 6% with mid-back pain, and 15% with neck pain. Collectively, across the body regions and measurement time points, there are approximately 1,980 patient-related variables in the database across a broad range of biopsychosocial factors. To date, 36 research projects have used data from the SpineData registry, including collaborations with researchers from Denmark, Australia, the United Kingdom, and Brazil. Conclusion: We described the aims, development, structure, and content of the SpineData registry, and what is known about any attrition bias and cluster effects in the data. For epidemiology research, these data can be linked, at an individual patient level, to the Danish population-based registries and the national spinal surgery registry. SpineData also has potential for the conduct of cohort multiple randomized controlled trials. Collaborations with other researchers are welcome.

Peter Kent,1 Alice Kongsted,1,2 Tue Secher Jensen,2,3 Hanne B Albert,4 Berit Schiøttz-Christensen,3 Claus Manniche3 1Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark; 2Nordic Institute of Chiropractic and Clinical Biomechanics, Odense, Denmark; 3Research Department, Spine Centre of Southern Denmark, Hospital Lillebaelt, Institute of Regional Health Research, University of Southern Denmark, Middelfart, Denmark; 4The Modic Clinic, Odense, Denmark Background: Large-scale clinical registries are increasingly recognized as important resources for quality assurance and research to inform clinical decision-making and health policy. We established a clinical registry (SpineData) in a conservative care setting where more than 10,000 new cases of spinal pain are assessed each year. This paper describes the SpineData registry, summarizes the characteristics of its clinical population and data, and signals the availability of these data as a resource for collaborative research projects. Methods: The SpineData registry is an Internet-based system that captures patient data electronically at the point of clinical contact. The setting is the government-funded Medical Department of the Spine Centre of Southern Denmark, Hospital Lillebaelt, where patients receive a multidisciplinary assessment of their chronic spinal pain. Results: Started in 2011, the database by early 2015 contained information on more than 36,300 baseline episodes of patient care, plus the available 6-month and 12-month follow-up data for these episodes. The baseline questionnaire completion rate has been 93%; 79% of people were presenting with low back pain as their main complaint, 6% with mid-back pain, and 15% with neck pain. Collectively, across the body regions and measurement time points, there are approximately 1,980 patient-related variables in the database across a broad range of biopsychosocial factors. To date, 36 research projects have used data from the SpineData registry, including collaborations with researchers from Denmark, Australia, the United Kingdom, and Brazil. Conclusion: We described the aims, development, structure, and content of the SpineData registry, and what is known about any attrition bias and cluster effects in the data. For epidemiology research, these data can be linked, at an individual patient level, to the Danish population-based registries and the national spinal surgery registry. SpineData also has potential for the conduct of cohort multiple randomized controlled trials. Collaborations with other researchers are welcome. Keywords: back pain, neck pain, thoracic pain, registries, prognosis, outcome measures, quality of care

Background: Large-scale clinical registries are increasingly recognized as important resources for quality assurance and research to inform clinical decision-making and health policy. We established a clinical registry (SpineData) in a conservative care setting where more than 10,000 new cases of spinal pain are assessed each year. This paper describes the SpineData registry, summarizes the characteristics of its clinical population and data, and signals the availability of these data as a resource for collaborative research projects. Methods: The SpineData registry is an Internet-based system that captures patient data electronically at the point of clinical contact. The setting is the government-funded Medical Department of the Spine Centre of Southern Denmark, Hospital Lillebaelt, where patients receive a multidisciplinary assessment of their chronic spinal pain. Results: Started in 2011, the database by early 2015 contained information on more than 36,300 baseline episodes of patient care, plus the available 6-month and 12-month follow-up data for these episodes. The baseline questionnaire completion rate has been 93%; 79% of people were presenting with low back pain as their main complaint, 6% with mid-back pain, and 15% with neck pain. Collectively, across the body regions and measurement time points, there are approximately 1,980 patient-related variables in the database across a broad range of biopsychosocial factors. To date, 36 research projects have used data from the SpineData registry, including collaborations with researchers from Denmark, Australia, the United Kingdom, and Brazil. Conclusion: We described the aims, development, structure, and content of the SpineData registry, and what is known about any attrition bias and cluster effects in the data. For epidemiology research, these data can be linked, at an individual patient level, to the Danish population-based registries and the national spinal surgery registry. SpineData also has potential for the conduct of cohort multiple randomized controlled trials. Collaborations with other researchers are welcome.