bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychophysiologische Reaktionen auf operationalisierte psychoanalytische Deutungen: Eine Pilotstudie
Authors: Fischer Maximilian , Buchheim Anna 
Published: May 2022

ZusammenfassungIn dieser Studie wurde erstmals ein experimentelles Setting angewendet, um psychophysiologische Reaktionen auf psychoanalytische Deutungen zu messen. Ziel war es, die Praktikabilität eines experimentellen Ansatzes zur Überprüfung theoriegeleiteter Hypothesen bezüglich affektiver Reaktionen auf die Deutung zu untersuchen.Mit 20 Versuchspersonen wurde ein OPD‑2 Interview (Operationalisierte Psychodynamische Diagnostik) durchgeführt, um aus der Diagnostik der Beziehungsdynamik personalisierte Deutungen zu formulieren. Im zweiten Teil der Untersuchung wurden psychophysiologische Reaktionen auf das Lesen der Deutung mittels Biofeedback-Messung der Herzfrequenz, Hautleitfähigkeit und Atemfrequenz erhoben und mit Reaktionen auf einen neutralen Stimulus (Baseline) und einen weiteren individuellen Stimulus (Konfliktschilderung aus ihrem OPD‑2 Interview) verglichen. Der MDBF (Mehrdimensionaler Befindlichkeitsfragebogen) wurde verwendet, um selbstberichtete emotionale Reaktionen zu erfassen. Zudem wurde erhoben, ob die Deutung als zutreffend bewertetet wurde und wie diese Einschätzung mit der gemessenen Reaktion (Biofeedback, MDBF) zusammenhing. Um Einflüsse der Persönlichkeitsorganisation auf die psychophysiologische Reaktion zu untersuchen, wurde der IPO-16 (Inventar der Persönlichkeitsorganisation) verwendet.Die Analysen zeigten, dass 80 % der Proband_innen die operationalisierten Deutungen als auf sie zutreffend bewerteten. Physiologisch zeigte sich eine niedrigere Herz- und Atemfrequenz beim Lesen der Deutung im Vergleich zu den anderen Stimuli. Die selbstberichtete Stimmung wurde nach der Deutung schlechter eingeschätzt. Der Zusammenhang zwischen Atemfrequenz und selbstberichteter Stimmung war unterschiedlich, je nachdem ob die Deutung als zutreffend oder nicht-zutreffend eingeschätzt wurde. Das experimentelle Setting dieser Untersuchung erwies sich als praktikabel, um die Deutung unabhängig von anderen psychotherapeutischen Wirkmechanismen zu untersuchen. Die Ergebnisse zeigen, dass operationalisierte Deutungen zu einer messbaren emotionalen Reaktion bei 20 gesunden Versuchspersonen führten. Die Unterschiede zwischen selbstberichteten und gemessenen Reaktionen liefern Hinweise auf den Einsatz von Abwehrmechanismen.
Recipient bed perfusion as a predictor for postoperative complications in irradiated patients with microvascular free tissue transfer of the head and neck area: a clinical analysis of 191 microvascular free flaps
Authors: Foerster Yannick , Baumann Laura , Kafantari Ino , Olmos Manuel , Wehrhan Falk , Kesting Marco R , Preidl Raimund HM 
Published: May 2022

Abstract
Purpose
Despite microvascular free tissue transfer being the mainstay of care in the reconstruction of larger maxillofacial defects, a significant number of patients experience postoperative complications due to impaired blood supply of the flap. In this context, the early influence of recipient bed perfusion remains unclear, but there is evidence that it is associated with free flap viability immediately after surgery.

Methods
We analyzed flap and recipient bed perfusion within the first 2 weeks after surgery by using the oxygen-to-see device. One hundred ninety-one patients who underwent free flap surgery in our department were included.

Results
Flow parameters were higher and postoperative complications were less frequent in radial forearm free flaps compared to any other type of flap. Flow parameters of the recipient bed were higher than transferred tissue at all times, implicating flap autonomization is not completed within 2 weeks. Previous radiotherapy significantly decreased flow parameters of the recipient bed but not of the flaps. Furthermore, irradiated patients with postoperative complications were found to have reduced flow parameters of their recipient bed compared to non-irradiated patients with postoperative complications.

Conclusion
We conclude that monitoring of recipient bed perfusion is useful for detecting flap compromise of irradiated patients in the early postoperative period.
Presurgical selection of the ideal aneurysm clip by the use of a three-dimensional planning system
Authors: Schwandt Eike , Kockro Ralf , Kramer Andreas , Glaser Martin , Ringel Florian 
Published: May 2022

AbstractAneurysm occlusion rate after clipping is higher than after endovascular treatment. However, a certain percentage of incompletely clipped aneurysms remains. Presurgical selection of the proper aneurysm clips could potentially reduce the rate of incomplete clippings caused by inadequate clip geometry. The aim of the present study was to assess whether preoperative 3D image-based simulation allows for preoperative selection of a proper aneurysm clip for complete occlusion in individual cases. Patients harboring ruptured or unruptured cerebral aneurysms prior to surgical clipping were analyzed. CT angiography images were transferred to a 3D surgical-planning station (Dextroscope®) with imported models of 58 aneurysm clips. Intracranial vessels and aneurysms were segmented and the virtual aneurysm clips were placed at the aneurysm neck. Operating surgeons had information about the selected aneurysm clip, and patients underwent clipping. Intraoperative clip selection was documented and aneurysm occlusion rate was assessed by postoperative digital subtraction angiography. Nineteen patients were available for final analysis. In all patients, the most proximal clip at the aneurysm neck was the preselected clip. All aneurysms except one were fully occluded, as assessed by catheter angiography. One aneurysm had a small neck remnant that did not require secondary surgery and was occluded 15 months after surgery. 3D image-based preselection of a proper aneurysm clip can be translated to the operating room and avoids intraoperative clip selection. The associated occlusion rate of aneurysms is high.
Deviation of the orientation angle of directional deep brain stimulation leads quantified by intraoperative stereotactic X-ray imaging
Authors: Schmidt Josephiene M. , Buentjen Lars , Kaufmann Joern , Gruber Doreen , Treuer Harald , Haghikia Aiden , Voges Jürgen 
Published: May 2022

AbstractDirectional deep brain stimulation (dDBS) provides multiple programming options. Knowledge of the spatial lead orientation is useful for time-efficient programming. Recent studies demonstrated deviations of up to 90° from the intended orientation angle. We examined the deviation of dDBS-lead orientation for leads from two different manufacturers using intraoperative stereotactic (STX) X-ray images. Intraoperative 2D-X-ray images were acquired after implantation of the first lead (TP1) and the second lead (TP2) enabling the estimation of the spatial position of the first lead at TP1 and TP2 and of changes of the orientation for a defined time period. Two investigators retrospectively estimated the orientation of the directional marker for 64 patients. The mean deviation from intended spatial orientation was 40.8° ± 46.1° for all examined leads. The spatial orientation of the first lead did not significantly change within a period of approximately 1 h. The degree of deviation did not differ significantly between two lead manufacturers but depended on the lead fixation technique. Our results showed deviations from the intended orientation angle immediately after the insertion of dDBS leads. The initial spatial orientation remained stable for approximately 1 h and was not caused by technical properties of the implanted lead. Hence, it was most probably the result of unintended mechanical torsion during insertion and/or fixation. Because precise determination of the lead orientation is mandatory for target-oriented dDBS programming, the use of additional imaging suitable for precise 3D visualization of lead contacts and/or the positioning marker is recommended.
The Arbitrary Here Now
Authors: Hallowes Peter 
Published: May 2022

AbstractIf we take the indexical, “I”, to be epistemologically identical across different contexts, as in, for example, it is the same “I” that at one moment observes, “I see a puddle of water on the floor”, and then, subsequently, exclaims, “I detect a leaking tap”, and, furthermore, we attribute not only self reference but self awareness in the use of the indexical, “I”, then a question arises as to how the “I” finds itself to be in reference to the speaker in one context and not another. We cannot look to the ingredients of the context that the “I” inhabits for the answer because, based upon the above assumptions, the identity, or character, of the “I” stands independently of the context of the speaker. The answer, I argue, requires both the admission of the unreality of space and time, as well as an explanation as to why we have a sense of the here and now despite space and time being unreal. To this end, I turn to the juxtaposition of Kant’s a priori forms of inner sense and outer sense to explain how the cognitive faculty arrives at a sense of time and place despite the declared unreality of time and space. To sustain this explanation in the face of the problem of localisation, I draw on the full implications of Kant’s transcendental idealism in which the properties of time and space are not only withdrawn from things as they exist externally to the mind but also from mental representations insofar as mental representations can be said to exist in themselves.
Selfless Memories
Authors: Millière Raphaël , Newen Albert 
Published: May 2022

AbstractMany authors claim that being conscious constitutively involves being self-conscious, or conscious of oneself. This claim appears to be threatened by reports of ‘selfless’ episodes, or conscious episodes lacking self-consciousness, recently described in a number of pathological and nonpathological conditions. However, the credibility of these reports has in turn been challenged on the following grounds: remembering and reporting a past conscious episode as an episode that one went through is only possible if one was conscious of oneself while undergoing it. Call this the Memory Challenge. This paper argues that the Memory Challenge fails to undermine the credibility to reports of selfless episodes, because it rests on problematic assumptions about episodic memory. The paper further argues that we should distinguish between several kinds of self-representation that may be involved in the process of episodic remembering, and that once we do so, it is no longer mysterious how one could accurately remember and report a selfless episode as an episode that one went through. Thus, we should take reports of this kind seriously, and view them as credible counter-examples to the claim that consciousness constitutively involves self-consciousness.
Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Authors: Jovanovic Raka , Sanfilippo Antonio P. , Voß Stefan 
Published: May 2022

AbstractThe Fixed Set Search (FSS) is a novel metaheuristic that adds a learning mechanism to the Greedy Randomized Adaptive Search Procedure (GRASP). In recent publications, its efficiency has been shown on different types of combinatorial optimization problems like routing, machine scheduling and covering. In this paper the FSS is adapted to multi-objective problems for finding Pareto Front approximations. This adaptation is illustrated for the bi-objective Minimum Weighted Vertex Cover Problem (MWVCP). In this work, a simple and effective bi-objective GRASP algorithm for the MWVCP is developed in the first stage. One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. In the second stage, the bi-objective GRASP is extended to the FSS by adding a learning mechanism adapted to multi-objective problems. The conducted computational experiments show that the proposed FSS and GRASP algorithm significantly outperforms existing methods for the bi-objective MWVCP. To fully evaluate the learning mechanism of the FSS, it is compared to the underlying GRASP algorithm on a wide range of performance indicators related to convergence, distribution, spread and cardinality.
The use of Fuzzy rule-based systems in the design process of the metallic products on example of microstructure evolution prediction
Authors: Macioł Andrzej , Macioł Piotr 
Published: May 2022

AbstractThe challenge on the contemporary market of consumer goods is a quick response to customer needs. It entails time restrictions, which a semi-finished products’ (including metal products) manufacturer must meet. This issue must be addressed during a design phase, which for the most of semi-finished products suppliers, takes part during a quotation preparation process. Our research is aimed at investigating possibility of application of Fuzzy Reasoning methods for shortening of a design process, being a part of this process. We present a study on application of simplified models for solving technological tasks, allowing obtaining expected properties of designed products. The core of our concept is replacing numerical models and classical metamodels with a rule-based reasoning. A quotation preparation process can be supported by solving a technological problem without numerical experiments. Our goal was to validate the thesis basing not only on the presentation of some potential solutions but also on the results of simulation studies. The problem is illustrated with an example of thermal treatment of aluminum alloys, aimed at evaluation of a summary fraction of precipitations as a function of time and technological parameters. We assumed that it is possible to use both unstructured and point numerical experiments for knowledge acquisition. Implementation of this concept required the use of hybrid knowledge acquisition methods that combine the results of point experiments with expert knowledge. A comparison of obtained results to the ones obtained with metamodels shows a similar efficiency of both approaches, while our method is less time and laborious.
Expression, Purification, Characterization and Cellular Uptake of MeCP2 Variants
Authors: Beribisky Alexander V. , Steinkellner Hannes , Geislberger Sofia , Huber Anna , Sarne Victoria , Christodoulou John , Laccone Franco 
Published: May 2022

Abstract
The transcriptional regulator Methyl-CpG-binding protein 2 (MeCP2) is an intrinsically disordered protein, mutations in which, are implicated in the onset of Rett Syndrome, a severe and debilitating neurodevelopmental disorder. Delivery of this protein fused to the cell-penetrating peptide TAT could allow for the intracellular replenishment of functional MeCP2 and hence potentially serve as a prospective Rett Syndrome therapy. This work outlines the expression, purification and characterization of various TAT-MeCP2 constructs as well as their full-length and shortened eGFP fusion variants. The latter two constructs were used for intracellular uptake studies with subsequent analysis via western blotting and live-cell imaging. All purified MeCP2 samples exhibited high degree of stability and very little aggregation propensity. Full length and minimal TAT-MeCP2-eGFP were found to efficiently transduce into human dermal and murine fibroblasts and localize to cell nuclei. These findings clearly support the utility of MeCP2-based protein replacement therapy as a potential Rett Syndrome treatment option.
Speaker-Specific Cues Influence Semantic Disambiguation
Authors: Davies Catherine , Porretta Vincent , Koleva Kremena , Klepousniotou Ekaterini 
Published: May 2022

AbstractAddressees use information from specific speakers’ previous discourse to make predictions about incoming linguistic material and to restrict the choice of potential interpretations. In this way, speaker specificity has been shown to be an influential factor in language processing across several domains e.g., spoken word recognition, sentence processing, and pragmatics. However, its influence on semantic disambiguation has received little attention to date. Using an exposure-test design and visual world eye tracking, we examined the effect of speaker-specific literal vs. nonliteral style on the disambiguation of metaphorical polysemes such as ‘fork’, ‘head’, and ‘mouse’. Eye movement data revealed that when interpreting polysemous words with a literal and a nonliteral meaning, addressees showed a late-stage preference for the literal meaning in response to a nonliteral speaker. We interpret this as reflecting an indeterminacy in the intended meaning in this condition, as well as the influence of meaning dominance cues at later stages of processing. Response data revealed that addressees then ultimately resolved to the literal target in 90% of trials. These results suggest that addressees consider a range of senses in the earlier stages of processing, and that speaker style is a contextual determinant in semantic processing.
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
Authors: Barbero-Gómez Javier , Gutiérrez Pedro Antonio , Hervás-Martínez César 
Published: May 2022

AbstractAutomatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification (where class labels present a natural ordering) has been tackled through the framework of CNNs. Also, ordinal classification datasets commonly present a high imbalance in the number of samples of each class, making it an even harder problem. Focus should be shifted from classic classification metrics towards per-class metrics (like AUC or Sensitivity) and rank agreement metrics (like Cohen’s Kappa or Spearman’s rank correlation coefficient). We present a new CNN architecture based on the Ordinal Binary Decomposition (OBD) technique using Error-Correcting Output Codes (ECOC). We aim to show experimentally, using four different CNN architectures and two ordinal classification datasets, that the OBD+ECOC methodology significantly improves the mean results on the relevant ordinal and class-balancing metrics. The proposed method is able to outperform a nominal approach as well as already existing ordinal approaches, achieving a mean performance of $${{\,\mathrm{\textit{RMSE}}\,}}= 1.0797$$

RMSE

=
1.0797

for the Retinopathy dataset and $${{\,\mathrm{\textit{RMSE}}\,}}= 1.1237$$

RMSE

=
1.1237

for the Adience dataset averaged over 4 different architectures.
Optimization of Non-thermal Plasma-Assisted Catalytic Oxidation for Methane Emissions Abatement as an Exhaust Aftertreatment Technology
Authors: Gholami Rahman , Stere Cristina , Chansai Sarayute , Singhania Amit , Goguet Alexandre , Hinde Peter , Millington Paul , Hardacre Christopher 
Published: May 2022

AbstractWhile methane-powered vehicles produce fewer greenhouse gas emissions in comparison to conventional fuel vehicles, there is a significant amount of methane slip in their exhaust that needs to be treated. This study investigates non-thermal plasma (NTP) assisted catalytic methane oxidation as an alternative method for the low temperature methane slip abatement applicable to the exhaust of biogas methane-powered vehicles. It is concluded that high CH4 conversion and CO2 selectivity can be obtained using NTP-catalysis at low temperature with Pd/Al2O3 found to be the most promising candidate among all catalysts tested. In addition, it was found that CH4 conversion efficiency was dependent on the feed gas components and gas hourly space velocity as well as how the activation energy is introduced. For example, a combination of plasma and external heat supply provides advantages in terms of CH4 conversion along with lower plasma energy consumption. The presence of N2 and O2 in the feed gas during NTP-catalytic methane oxidation results in unfavourable NOX formation which linearly increases with CH4 conversion. These results conclude that the most suitable aftertreatment option involves the combination of an oxidation catalyst with plasma to target the hydrocarbon and CH4 oxidation, followed by an ammonia-SCR system to convert the NOX formed in plasma assisted zone.
Combination of co-crystal and nanocrystal techniques to improve the solubility and dissolution rate of poorly soluble drugs
Authors: Huang Zun , Staufenbiel Sven , Bodmeier Roland 
Published: May 2022

Abstract
Purpose
Solubility and dissolution rate are essential for the oral absorption and bioavailability of poorly soluble drugs. The aim of this study was to prepare nano-co-crystals by combination of nanocrystal and co-crystal technologies, and investigate its effect, in situ, on increased kinetic solubility and dissolution rate.

Methods
Co-crystals of itraconazole-fumaric acid, itraconazole-succinic acid, indomethacin-saccharin and indomethacin-nicotinamide were prepared and nano-sized by wet milling. The particle size and solid state of the co-crystals were characterized by optical microscope, LD, PCS, DSC and XRPD before and after milling.

Results
300-450 nm sized nano-co-crystals with a stable physical solid state were successfully prepared. Nano-co-crystals exhibited a lower crystallinity reduction than nanocrystals after wet milling. The particle size effect on the kinetic solubility of co-crystals was analysed for macro-, micro- and nano-co-crystals with in situ kinetic solubility studies. The maximum kinetic solubility of nano-co-crystals increased with excess conditions until a plateau. The highest increase was obtained with itraconazole-succinic acid nano-co-crystals with a kinetic solubility of 263.5 ± 3.9 μg/mL which was 51.5 and 6.6 times higher than the solubility of raw itraconazole and itraconazole-succinic acid co-crystal.

Conclusions
The synergistic effect of nanocrystals and co-crystals with regard to increased kinetic solubility and dissolution rate was proven. The combination of the advantages of nanocrystals and co-crystals is a promising formulation strategy to increase both the solubility and dissolution rate of poorly soluble drugs.
Cancer Risk and Diesel Exhaust Exposure Among Railroad Workers
Authors: Rosenfeld Paul E. , Spaeth Kenneth R. , Hallman Ryan , Bressler Rachel , Smith Graham C. 
Published: May 2022

AbstractInhalation exposure to diesel exhaust in the railroad work environment causes significant and quantifiable cancer risks to many railroad workers. Diesel exhaust has been identified as a known human carcinogen by the International Agency for Research on Cancer (“IARC”) and as a potential carcinogen by the United States Environmental Protection Agency (“USEPA”), the California Environmental Protection Agency’s Office of Environmental Health Hazard Assessment (“OEHHA”), and the National Institute for Occupational Safety & Health (“NIOSH”). Peer-reviewed literature defines the ambient air concentrations of diesel exhaust for several railroad occupations as being above environmental background levels. This study uses diesel exhaust concentrations in the railroad work environment in conjunction with the USEPA’s Integrated Risk Information System (“IRIS”) risk assessment methodology to quantify the cancer risk posed to railroad workers due to occupational inhalation exposure to diesel exhaust. NIOSH Bulletin 68 (2017) states that there is “no known safe level” of exposure to carcinogens and recommends an evaluation of the USEPA’s IRIS guidance to evaluate quantitative risk assessment of human exposure to occupational carcinogens. This is the first study to utilize USEPA methodology to calculate the excess lung cancer risk caused by railroad workers’ cumulative exposure to diesel exhaust.