bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wie baue ich ein erfolgreiches Netzwerk auf? Konzeption, Durchführung und Evaluation eines Networking-Trainings
Authors: Weihrauch Lisa , Wolff Hans-Georg , Stöger Lea Katharina , von Nitzsch Jannis , Konari Nima 
Published: January 2021

ZusammenfassungDieser Beitrag der Zeitschrift Gruppe. Interaktion. Organisation. (GIO) berichtet von der Entwicklung, Durchführung und Evaluation eines Networkingtrainings. Networking gilt branchenübergreifend als wichtige Kompetenz für den Aufbau tätigkeitsrelevanter Ressourcen und Fertigkeiten und gewinnt in Zeiten der individualisierten, wissensintensiven und digitalisierten Berufstätigkeit weiter an Bedeutung. Die „Kunst des Netzwerkens“ zu erlernen ist deshalb essentiell. Basierend auf der Handlungsregulationstheorie und sozialkognitiven Ansätzen wird in dieser Evaluationsstudie die Wirksamkeit eines Networking-Trainings (N = 37) für Berufstätige untersucht. Das Training vermittelt Kompetenzen zu Aufbau, Pflege und Nutzung von Kontakten im beruflichen Kontext. Es wird im Rahmen eines Pretests und drei Posttests bis zu einem Jahr nach dem Training und einer nicht-äquivalenten Kontrollvariablenstrategie auf mehreren Ebenen evaluiert. Es zeigen sich signifikante Verbesserungen in den Bereichen Wissen, networkingbezogene Selbstwirksamkeit und Networkingverhalten, sowie eine Zunahme an Kontakten in beruflichen Online-Netzwerken. Basierend auf den genannten trainingstheoretischen Grundlagen gelingt den Teilnehmenden die Entwicklung ihrer Networkingkompetenzen, d. h. sich ein berufliches Online- und Offline-Netzwerk aufzubauen, dieses zu pflegen und zu nutzen.
Current Advances in Immunotherapy for Glioblastoma
Authors: Mende Abigail L. , Schulte Jessica D. , Okada Hideho , Clarke Jennifer L. 
Published: January 2021

Abstract
Purpose of Review
This review seeks to inform oncology clinicians and researchers about the development of novel immunotherapies for the treatment of glioblastoma. An enumeration of ongoing and recently completed clinical trials will be discussed with special attention given to current technologies implemented to overcome central nervous system–specific challenges including barriers to the peripheral immune system, impaired antigen presentation, and T cell dysfunction.

Recent Findings
The success of immunotherapy in other solid cancers has served as a catalyst to explore its application in glioblastoma, which has limited response to other treatments. Recent developments include multi-antigen vaccines that seek to overcome the heterogeneity of glioblastoma, as well as immune checkpoint inhibitors, which could amplify the adaptive immune response and may have promise in combinatorial approaches. Additionally, oncolytic and retroviruses have opened the door to a plethora of combinatorial approaches aiming to leverage their immunogenicity and/or ability to carry therapeutic transgenes.

Summary
Treatment of glioblastoma remains a serious challenge both with regard to immune-based as well as other therapeutic strategies. The disease has proven to be highly resistant to treatment due to a combination of tumor heterogeneity, adaptive expansion of resistant cellular subclones, evasion of immune surveillance, and manipulation of various signaling pathways involved in tumor progression and immune response. Immunotherapeutics that are efficacious in other cancer types have unfortunately not enjoyed the same success in glioblastoma, illustrating the challenging and complex nature of this disease and demonstrating the need for development of multimodal treatment regimens utilizing the synergistic qualities of immune-mediated therapies.
ASCO 2020: highlights in breast cancer
Authors: Bartsch Rupert 
Published: January 2021

SummaryThe 2020 Annual Meeting of the American Society of Clinical Oncology (ASCO) was held in a virtual format due to the ongoing SARS-CoV‑2 pandemic. Despite these unique circumstances, results of several interesting studies in the field of breast cancer (BC) were reported. While overall survival data are still missing, KEYNOTE-355 suggests significant activity of pembrolizumab when added to first-line chemotherapy in metastatic triple-negative breast cancer. TBCRC 048 evaluated the role of olaparib in homologous recombination deficient tumours due to genomic alterations other than germline BRCA1/2 mutations; clinically relevant activity was reported in patients with germline PALB2 and somatic BRCA1/2 mutations. In HER2-positive early stage disease, different strategies of chemotherapy de-escalation are under investigation, but the optimal approach is still not well defined. Updated results from the HER2CLIMB trial show that the third-generation HER2 tyrosine-kinase inhibitor tucatinib in combination with trastuzumab and capecitabine is the new standard-of-care for pretreated patients with HER2-positive metastatic BC with active brain metastases. Results from BYLieve supports the notion that the combination of endocrine therapy with the PIK3Ca inhibitor alpelisib is a reasonable treatment approach in hormone-receptor positive/HER2-negative BC after prior CDK4/6-inhibitor therapy. Finally, the ECOG-ACRIN 2108 trial failed to show a benefit for early surgery of the primary tumour in patients with metastatic BC.
Design and Deployment of an Image Polarity Detector with Visual Attention
Authors: Ragusa Edoardo , Apicella Tommaso , Gianoglio Christian , Zunino Rodolfo , Gastaldo Paolo 
Published: January 2021

AbstractEmbedding the ability of sentiment analysis in smart devices is especially challenging because sentiment analysis relies on deep neural networks, in particular, convolutional neural networks. The paper presents a novel hardware-friendly detector of image polarity, enhanced with the ability of saliency detection. The approach stems from a hardware-oriented design process, which trades off prediction accuracy and computational resources. The eventual solution combines lightweight deep-learning architectures and post-training quantization. Experimental results on standard benchmarks confirmed that the design strategy can infer automatically the salient parts and the polarity of an image with high accuracy. Saliency-based solutions in the literature prove impractical due to their considerable computational costs; the paper shows that the novel design strategy can deploy and perform successfully on a variety of commercial smartphones, yielding real-time performances.
The strategic development for water loss prevention
Authors: Kiliç Recep 
Published: January 2021

AbstractThe population growth and urbanization have gained importance in the Water Resource Management (WRM) works. The classic approach in relation to the development of the water resources has lost its sustainability. Water has, therefore, become an important, but also becoming a scarce natural source due to the global warming and its climate change impacts end results. The major aim of WRM is to increase the Water Distribution Network (WDN) to keep water supply sustenance by decreasing the water demand. The new approaches in relation to the WRM should take into consideration in a more refined manner the supply–demand balance with the improvements in the WDN. Recently, water resources performance improvements have become one of the significant investment topics in Turkey. However, data from the Turkish Statistical Institute and any academic research in this field have shown that there is a water loss of around 50% in the current water supply and distribution systems. In comparison to other developed countries, this loss is very high. It became, therefore, necessary that each Water Resources Administration should keep track on the costs, water leakage losses and the necessary technological investments. In the scope of this study, water loss levels reduction strategy possibilities are developed in the Sakarya City WDM system, Turkey. These strategies field applications have been presented in detail. Finally, the extent of accuracy in these strategies has been shown, which may provide guidance for other water administrations departments in the world.
Adsorption of tartrazine and sunset yellow anionic dyes onto activated carbon derived from cassava sievate biomass
Authors: Chukwuemeka-Okorie Helen O. , Ekuma Francis K. , Akpomie Kovo G. , Nnaji Jude C. , Okereafor Amarachi G. 
Published: January 2021

AbstractThe toxic effects of anionic dyes such as tartrazine and sunset yellow on humans and the aquatic environment are of serious concern. The need for the removal of these dyes from wastewaters led to the use of adsorption techniques as a cheap and efficient treatment method. Thus, this research was based on the preparation of a low-cost activated carbon derived from cassava sievate designated as CS, which was utilized in the adsorption of sunset yellow and tartrazine from simulated wastewater. The sorption process was carried out under varying process factors in a batch mode. Adsorbent characterization displayed the presence of surface functional groups by the FT-IR and a porous structure as revealed by scanning electron microscopy. Optimum dye uptake was recorded at pH (1.0–2.0), temperature (30–40 °C), CS dosage (0.1 g), and dye concentration (150 mg/L). A maximum CS monolayer uptake of 20.83 and 0.091 mg/g was recorded for tartrazine and sunset yellow dyes, respectively. The pseudo-second-order (R2 > 0.99) and Freundlich (R2 > 0.92) models were most fitted to the kinetics and isotherm data of the uptake of the dyes on CS. The adsorption equilibrium attainment was reached was within 90 min of dye sequestration. The experimental results revealed that both sunset yellow and tartrazine dyes were considerably adsorbed onto the environmentally compatible and low-cost activated carbon derived from cassava sievate.
Das E-Assessment-Tool DMT
Authors: Thor Andreas , Kirsten Toralf 
Published: January 2021

ZusammenfassungDie Bearbeitung von Übungsaufgaben ist ein wichtiges Element in der Datenbank-Lehre. Lösungen der Studierenden lassen sich dabei häufig in strukturierten Ergebnisformaten festhalten, wie z. B. SQL-Anfragen oder die Spezifikation von Schemata und Relationen. Dieser Beitrag stellt das E‑Assessment-Tool DMT (Data Management Tester) vor, das sowohl eine automatische Bewertung als auch eine automatische Feedback-Generierung solcher strukturierter Lösungen ermöglicht. Es soll dabei insbesondere Studierende unterstützen, nicht ganz korrekte Lösungen zielgerichtet überarbeiten zu können. Dieser Betrag skizziert Konzept und Architektur von DMT und erläutert den Einsatz an der HTWK Leipzig und der Hochschule Mittweida.
RelaX
Authors: Specht Günther , Kessler Johannes , Mayerl Maximilian , Tschuggnall Michael 
Published: January 2021

ZusammenfassungDas relationale Modell und insbesondere die relationale Algebra bilden die Grundlage jedes relationalen Datenbanksystems. Daher ist es in der Lehre wichtig, den Studierenden eine fundierte Einführung in die relationale Algebra zu geben. Nur so erhalten sie ein vertieftes Verständnis für die interne Ausführung einer Anfrage. Während es viele Möglichkeiten gibt, SQL zu üben, fehlen bisher größtenteils solche Möglichkeiten für die relationale Algebra. Sie wird meist nur theoretisch unterrichtet. Darum hat die Forschungsgruppe DBIS an der Universität Innsbruck ein rein webbasiertes Tool entwickelt, das die Lehre der relationalen Algebra erleichtern und verbessern soll: RelaX. RelaX ist unter http://dbis-uibk.github.io/relax/ frei verfügbar.
Effect of stearin and paraffin adulteration of beeswax on brood survival
Authors: Chęć Magdalena , Olszewski Krzysztof , Dziechciarz Piotr , Skowronek Patrycja , Pietrow Marek , Borsuk Grzegorz , Bednarczyk Mirosława , Jasina Grzegorz , Jasina Józef , Gagoś Mariusz 
Published: January 2021

AbstractThe study examined the effect of stearin and paraffin adulteration of the wax foundation on brood survival. In combs formed on a stearin-adulterated wax foundation (10, 30, and 50% stearin, which means: 3.9, 11.7, and 19.5% of stearic acid, respectively), the survival of brood decreased statistically significantly (p ≤ 0.001) compared to the survival rates noted on a pure beeswax foundation. The brood appearance resembled the so-called scattered brood although the queens oviposited normally. The scattered brood was caused by the death of young larvae, most probably due to changes in the properties of royal jelly. Larvae transferred into stearin-adulterated wax cups died as well. The adulteration of the wax foundation with paraffin (10, 30, and 50%) did not reduce the survival of the brood but lowered the mechanical strength of the combs. Adulteration of wax with even a small amount of stearin/stearic acid makes it useless for apiculture.
Haematological changes in Schistosoma haematobium infections in school children in Gabon
Authors: Dejon-Agobé Jean Claude , Adegnika Ayôla A. , Grobusch Martin P. 
Published: January 2021

Abstract
Background
Schistosomiasis is a parasitic disease affecting the blood cell. As a chronic disease, schistosomiasis particularly impacts on the human host’s haematological profile. We assessed here the impact of urogenital schistosomiasis on the full blood counts (FBC) as proxy diagnostic tool for schistosomiasis.

Methods
A cross-sectional study was conducted among school children living in Lambaréné, Gabon. Schistosomiasis status was determined using urine filtration technique. EDTA blood samples were analysed using a Pentra ABX 60® analyzer.

Results
Compared to their infection-free counterparts, school children infected with Schistosoma haematobium displayed an altered FBC profile, with changes in all three blood cell lines. Adjusted for praziquantel intake, soil-transmitted helminthic infections and Plasmodium falciparum infection status, schistosomiasis was independently associated with a decreasing trend of mean haemoglobin (β = − 0.20 g/dL, p-value = 0.08) and hematocrit (β = − 0.61%, p-value = 0.06) levels, a lower mean MCV (β = − 1.50µm3, p-value = 0.02) and MCH (β = − 0.54 pg, p-value = 0.04), and higher platelet (β = 28.2 103/mm3, p-value = 0.002) and leukocyte (β = 1.13 103/mm3, p-value = 0.0003) counts, respectively.

Conclusions
Schistosomiasis is associated with a characteristic FBC profile of schoolchildren living in Lambaréné, indicating the necessity to consider schistosomiasis as a single cause of disease, or a co-morbidity, when interpreting FBC in endemic areas.
Solving the location problem of front distribution center for omni-channel retailing
Authors: Huang Jikai , Shi Xianliang 
Published: January 2021

AbstractConsumer demand and retailing models nowadays are being upgraded more frequently. More and more retailers are switching to the Omni-channel retailing model. Choosing a reasonable location for a front distribution center (FDC) helps control an enterprise's cost and improves its service level. This is especially true in the existence of fierce competition. In this paper, two important and contradictory objectives are proposed for the first time in the FDC location problem: minimizing the distribution costs from the facility and minimizing the fixed cost of the facility's location. For these objectives, a bi-objective programming model is established by considering the factors of a facility's capacity, demand and rent fluctuation. Meanwhile, the FDC location problem has been solved by compromising programming and elite set multi-objective simulated annealing algorithm respectively. Taking the FDC locations set of an e-commerce enterprise in a region of Beijing as an empirical sample, this paper uses the above algorithms to re-plan the FDC locations of the enterprise. This algorithm provides support for retail enterprises by helping find the best FDC location. Based on the empirical results, some comments and future research directions are also proposed.
Second-order neutrosophic boundary-value problem
Authors: Moi Sandip , Biswas Suvankar , Pal(Sarkar) Smita 
Published: January 2021

AbstractIn this article, some properties of neutrosophic derivative and neutrosophic numbers have been presented. This properties have been used to develop the neutrosophic differential calculus. By considering different types of first- and second-order derivatives, different kind of systems of derivatives have been developed. This is the first time where a second-order neutrosophic boundary-value problem has been introduced with different types of first- and second-order derivatives. Some numerical examples have been examined to explain different systems of neutrosophic differential equation.
The host status of glyphosate-tolerant soybean genotypes to Meloidogyne incognita and Pratylenchus infection
Authors: Mbatyoti Akhona , De Beer Annelie , Daneel Mieke Stefanie , Swart Antoinette , Marais Mariette , De Waele Dirk , Fourie Hendrika 
Published: January 2021

AbstractThe host status of South African adapted, genetically modified (GM) glyphosate-tolerant soybean genotypes to root-knot (field and glasshouse) and lesion (field) nematodes were assessed. Analyses of root and soil samples of 29 genotypes (collected from seven production areas during the 2014/15 season) enabled the identification of nine plant-parasitic nematode genera and 10 species. Predominant endoparasitic genera in root samples were Meloidogyne (Meloidogyne incognita and M. javanica) and Pratylenchus (Pratylenchus brachyurus, P. zeae and P. teres). Rotylenchulus parvus was the predominant semi-endoparasite in soil, followed by Scutellonema brachyurus and Helicotylenchus sp. Only ‘PAN 1583 R’ and ‘PAN 1521 R’ maintained less than 10% of the Meloidogyne spp. densities present in roots of the most susceptible genotype, while all genotypes were susceptible to the Pratylenchus spp. The host status of 36 soybean genotypes to M. incognita infection, evaluated in two follow-up glasshouse experiments terminated 56 days after inoculation of ca. 1000 M. incognita eggs and second-stage juveniles (J2) per seedling, varied substantially for final population density (Pf), reproduction factor (Rf) and relative percentage susceptibility (%S). Only ‘PRF-GCI7’ and the resistant reference ‘LS 5995’ had Rfs < 1 for both experiments, despite higher minimum and maximum temperatures recorded for the second experiment. Continuous evaluation of soybean genotypes for their host status to predominant nematode pests and their use to reduce densities of such species in producer’s fields are crucial to enable sustainable crop production, and contribute towards food provision and security.
Risk factors for sleep disorders in patients undergoing peritoneal dialysis
Authors: Liu Gui-Ling , Zhan Qiu-Nan , Zhao You-Lu , Xiong Zu-Ying , Liao Jin-Lan , Ren Ye-Ping , Wang Qin , Duan Li-Ping , Zheng Zhao-Xia , Hao Li , Dong Jie 
Published: January 2021

AbstractSleep disorders in patients with end-stage renal disease are common but have rarely been reported in previous studies. Therefore, we examined the prevalence of sleep disorders and the risk factors for declining sleep quality in patients undergoing peritoneal dialysis (PD). A multicenter prospective cohort study was conducted at five PD centers across different provinces in China. A total of 449 patients who underwent PD between March to November 2013 were enrolled. Demographic data, laboratory indicators, presence of depression, and sleep assessment data were collected. Sleep questionnaires reflecting five categories of sleep disorders, namely, insomnia, restless legs syndrome, excessive daytime sleepiness, possible narcolepsy, and sleepwalking and nightmares, were administered at baseline and at 24 months postoperatively. Sleep disorders were diagnosed when a patient had at least one sleep problem. At baseline, 335 (74.6%) patients had at least one type of sleep disorder. Depression, diabetes mellitus (DM), and male were found to be associated with the presence of a sleep disorder. At follow-up, the prevalence of insomnia, restless legs syndrome, and excessive daytime sleepiness had significantly increased in 285 patients. Furthermore, cardiovascular disease (CVD) was found to be associated with the presence of sleep disorders in patients with one or more disorders at baseline, whereas a low serum albumin level was found to be associated with sleep disorders in patients without any sleep disorders at baseline. The prevalence of sleep disorders was relatively high among PD patients at baseline and increased afterthe2-year follow-up. Depression, DM, and male were associated with all sleep disorders at baseline. CVD was associated with the presence of a sleep disorder at baseline and worse sleep quality at the 2-year follow-up; whereas a low serum albumin level was associated with the risk of acquiring a sleep disorder at the 2-year follow-up among patients with normal sleep status at baseline.
Treat-to-Target Strategies in Rheumatoid Arthritis: a Systematic Review and Cost-Effectiveness Analysis
Authors: Hock Emma Stefania , Martyn-St James Marrissa , Wailoo Allan , Scott David L. , Stevenson Matt , Rawdin Andrew , Simpson Emma L. , Dracup Naila , Young Adam 
Published: January 2021

AbstractTo systematically review clinical and health economic impacts of treat-to-target (TTT) strategies in patients with rheumatoid arthritis (RA) managed in specialist units, compared with routine care. Sixteen and seven electronic databases were searched for clinical RCTs and cost-effectiveness respectively. Study selection, data extraction and quality assessment (Cochrane Collaboration risk of bias criteria) were performed. Evidence was reported by (1) TTT vs. usual care; (2) comparison of different treatment protocols against each other; (3) comparison of different targets against each other. Narrative synthesis was undertaken and conclusions drawn on a trial by trial basis, due to study heterogeneity. Twenty-two RCTs were included. Sixteen were at high risk of bias, five unclear and one low risk. Three trials showed TTT to be more effective than usual care in terms of remissions, in some or all comparisons, whereas one other trial reported no significant difference. Two trials showed TTT to be more effective than usual care in terms of low disease activity (LDA), in some or all comparisons, whereas two trials reported little difference. Some evidence suggests that TTT strategies involving combination therapy can achieve more remissions than those involving monotherapy, but little impact of alternative treatment targets on remission or LDA. Overall, there is evidence that TTT increases remissions in early RA and mixed early and established RA populations, and increases LDA in established RA. Although results varied, typically TTT was estimated to be more cost-effective than usual care. No target appears more effective than others.
Finite element modelling and optimization of Ge/SiGe superlattice based thermoelectric generators
Authors: Big-Alabo Ameze 
Published: January 2021

AbstractThe study presents the development of a 3D Finite Element modelling (FEM) technique for a uni-coupled Ge/SiGe superlattice-based module configuration. The methodological approach involved the development of the geometrical design of the Ge/SiGe – based Thermoelectric generator (TEG), defining the thermoelectric material properties and boundary conditions and then implementation of the governing equations to obtain an approximate solution via meshing of the TEG module. The developed FEM was then used to optimize the geometry of the TEG with the aim of reducing the contact resistance for improved performances. One way to achieve this is to reduce the thickness of the silicon substrate. Thus by reducing the thickness of the substrate, the thermal losses in the system will be minimized. Secondly, by increasing the superlattice heights, the output voltage also increased and given the anisotropic nature of the superlattice, it was inferred that the optimal voltage measurements can be obtained at the surface of the superlattice which yields the maximum leg height. The relevance of this study is that the FEM allows the simulation of the TEG module for different real-world conditions that would otherwise be expensive and time-consuming to investigate experimentally. It also gives insight to the temperature and voltage distribution of the TEG module under varying operating conditions.