bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seeing others is believing – Analgetische Placeboeffekte durch Beobachtungslernen?
Authors: Schwartz Marie , Stuhlreyer J. , Klinger R. 
Published: April 2022

Zusammenfassung
Hintergrund
Es gibt viele Studien zur Placeboanalgesie und deren zugrundliegenden Wirkmechanismen, die eine Behandlung von Patient:innen mit chronischen Schmerzen signifikant verbessern können. Beobachtungslernen als ein Wirkmechanismus wurde hingegen noch wenig untersucht.

Fragestellung
Das Ziel der Arbeit ist es, einen Überblick über die aktuelle Forschungslage zu Placeboanalgesie durch Beobachtungslernen zu geben. Dabei soll geklärt werden, ob Beobachtungslernen überhaupt einen signifikanten Placeboeffekt auslösen kann und durch welche Faktoren dieses Lernen beeinflusst wird.

Material und Methoden
Dafür wurden die Forschungsdatenbanken nach Studien zur Placeboanalgesie durch Beobachtungslernen durchsucht.

Ergebnisse
Nach der Anwendung der Ein- und Ausschlusskriterien verblieben 12 Studien. Es gab nur eine Studie, die an Patient:innen mit chronischen Schmerzen durchgeführt wurde. Die geringe Anzahl an Studien lässt noch keine allgemeingültigen Aussagen zu, aber es gibt erste Hinweise für die folgenden Aussagen: Beobachtungslernen von Placeboeffekten ist unter Laborbedingungen möglich und eine Aufmerksamkeitslenkung ist wichtig. Die Effektstärken reichen von klein bis groß. Die Effekte von klassischer Konditionierung und Beobachtungslernen sind vergleichbar. Live-Modelle, Videoaufnahmen und Bilder lösen ähnliche Effekte aus. Beobachtungslernen führt zu einer Erwartungsänderung.

Diskussion
Die vorliegende Evidenz liefert die Grundlage dafür, dass theoretisch und auch praktisch klinisch signifikante Effekte möglich sind. Weitere Studien sind nötig, um diese Aussagen verlässlich auch auf chronische Schmerzpatient:innen zu beziehen.
Evaluation of centers for information and support combining formal and informal care for patients with cancer: a systematic review of the literature
Authors: Driessen Helen P. A. , Kranenburg Leonieke W. , van der Rijt Karin C. D. , Bakker Evi M. , van Busschbach Jan J. , Jabbarian Lea J. , Bramer Wichor M. , Elfrink Erna J. 
Published: April 2022

Abstract

Purpose
Clear information and supportive care are necessary for patients with cancer to effectively manage their condition. Traditionally, healthcare professionals offer information and support via the so-called formal care route. In addition, research has found favorable effects of informal care provided by volunteer programs and informal “walk-in support centers.” Less research has been done on initiatives that combine formal and complementary informal supportive care for patients with cancer. This systematic literature study aimed to discover (1) which types of initiatives are described in the literature, (2) what type of care they offer, and (3). how they are evaluated in terms of outcome measures.

Methods
We performed a systematic literature search of MEDLINE, Embase, PsycINFO, and CINAHL. Studies were included if the collaboration between one type of formal care together with one type of informal care was explicitly mentioned in the article. The search was not restricted to a specific cancer type.

Results
A total of 4869 records were retrieved and 18 studies were included. In most studies, the care provided consisted of emotional support for, and/or providing information to, patients and their families. Initiatives were evaluated with interviews and questionnaires. Patients with cancer reported that they were satisfied with the care offered, including information, social and emotional support, help with activities of daily living, and family-related issues. Volunteers reported that visits they made were experienced positive and rewarding and the volunteers were confident about their contribution to general healthcare. Some negative experiences were reported by volunteers, e.g., interference of their own cancer diagnosis with volunteer work. The importance of proper training was stressed.

Conclusions
Initiatives combining formal and informal supportive care hold the potential of added value in terms of providing emotional support for, and providing information to, patients with cancer. Support and specific training for volunteers can be viewed as success factors in the involvement of volunteers in formal care practices.
Overexpression of recombinant proteins containing non-canonical amino acids in Vibrio natriegens: p-azido-L-phenylalanine as coupling site for 19F-tags
Authors: Stadler Karina A. , Becker Walter , Darnhofer Barbara , Birner-Gruenberger Ruth , Zangger Klaus 
Published: April 2022

AbstractVibrio natriegens is the fastest growing organism identified so far. The minimum doubling time of only 9.4 min, the ability to utilize over 60 different carbon sources and its non-pathogenic properties make it an interesting alternative to E. coli as a new production host for recombinant proteins. We investigated the ability of the engineered V. natriegens strain, Vmax™ Express, to incorporate the non-canonical amino acid (ncAA) p-azido-L-phenylalanine (AzF) into recombinant proteins for NMR applications. AzF was incorporated into enhanced yellow fluorescent protein (EYFP) and MlaC, an intermembrane transport protein, by stop codon suppression. AzF incorporation into EYFP resulted in an improved suppression efficiency (SE) of up to 35.5 ± 0.8% and a protein titer of 26.7 ± 0.7 mg/L. The expression levels of MlaC-AzF even exceeded those of E. coli BL21 cells. For the recording of 1H-15N and 19F NMR spectra, EYFP-AzF was expressed and isotopically labeled in minimal medium and the newly introduced azido-group was used as coupling site for NMR sensitive 19F-tags. Our findings show that Vmax is a flexible expression host, suitable for the incorporation of ncAAs in recombinant proteins with the potential to surpass protein yields of E. coli. The presented method suggests the implementation of V. natriegens for expression of isotopically labeled proteins containing ncAAs, which can be chemically modified for the application in protein-observed 19F-NMR.
Identification of potent HDAC 2 inhibitors using E-pharmacophore modelling, structure-based virtual screening and molecular dynamic simulation
Authors: Pai Padmini , Kumar Avinash , Shetty Manasa Gangadhar , Kini Suvarna Ganesh , Krishna Manoj Bhat , Satyamoorthy Kapaettu , Babitha Kampa Sundara 
Published: April 2022

Abstract
Histone deacetylase 2 (HDAC 2) of class I HDACs plays a major role in embryonic and neural developments. However, HDAC 2 overexpression triggers cell proliferation by diverse mechanisms in cancer. Over the decades, many pan and class-specific inhibitors of HDAC were discovered. Limitations such as toxicity and differential cell localization of each isoform led researchers to hypothesize that isoform selective inhibitors may be relevant to bring about desired effects. In this study, we have employed the PHASE module to develop an e-pharmacophore model and virtually screened four focused libraries of around 300,000 compounds to identify isoform selective HDAC 2 inhibitors. The compounds with phase fitness score greater than or equal to 2.4 were subjected to structure-based virtual screening with HDAC 2. Ten molecules with docking score greater than  -12 kcal/mol were chosen for selectivity study, QikProp module (ADME prediction) and dG/bind energy identification. Compound 1A with the best dock score of  -13.3 kcal/mol and compound 1I with highest free binding energy,  -70.93 kcal/mol, were selected for molecular dynamic simulation studies (40 ns simulation). The results indicated that compound 1I may be a potent and selective HDAC 2 inhibitor. Further, in vitro and in vivo studies are necessary to validate the potency of selected lead molecule and its derivatives.
Graphical abstract
Age-Restriction of a Validated Risk Scoring Tool Better Predicts HIV Acquisition in South African Women: CAPRISA 004
Authors: Castor Delivette , Burgess Emma K. , Yende-Zuma Nonhlanhla , Heck Craig J. , Abdool Karim Quarraisha 
Published: April 2022

AbstractWe examined the predictive ability of the VOICE risk screening tool among adolescent girls and young women at heightened HIV risk in urban and peri-urban Kwa-Zulu-Natal, South Africa. Using participant data from CAPRISA 004’s control arm (N = 444), we applied the initial VOICE risk screening score (IRS), a modified risk score (MRS) based on predictive and non-predictive variables in our data, and age-restricted (AIRS and AMRS, respectively). We estimated incidence rates, 95% confidence bounds, sensitivity, specificity, negative and positive predictive values and area under the curve (AUC). The sample’s HIV incidence rate was 9.1/100 Person-Years [95% CI 6.9–11.7], resulting from 60 seroconversions (60/660.7 Person-Years). The IRS’ ≥ 8 cutpoint produced moderate discrimination [AUC = 0.66 (0.54–0.74), sensitivity = 63%, specificity = 57%]. Restricting to age < 25 years improved the score’s predictive ability (AIRS: AUC = 0.69, AMRS: AUC = 0.70), owing mainly to male partner having other partners and HSV-2. The risk tool predicted HIV acquisition at a higher cutpoint in this sample than in the initial VOICE analysis. After age-stratification, fewer variables were needed for maintaining score’s predictiveness. In this high incidence setting, risk screening may still improve the efficiency or effectiveness of prevention counseling services. However, PrEP should be offered to all prevention-seeking individuals, regardless of risk ascertainment.
Measuring players’ importance in basketball using the generalized Shapley value
Authors: Metulini Rodolfo , Gnecco Giorgio 
Published: April 2022

AbstractMeasuring players’ importance in team sports to help coaches and staff with the aim of winning the game is gaining relevance, mainly because of the advent of new data and advanced technologies. In this paper we evaluate each player’s importance - for the first time in basketball - as his/her average marginal contribution to the utility of an ordered subset of players, through a generalized version of the Shapley value, where the value assumed by the generalized characteristic function of the generalized coalitional game is expressed in terms of the probability a certain lineup has to win the game. In turn, such probability is estimated by applying a logistic regression model in which the response is represented by the game outcome and the Dean’s factors are used as explanatory features. Then, we estimate the generalized Shapley values of the players, with associated bootstrap confidence intervals. A novelty, allowed by explicitly considering single lineups, is represented by the possibility of forming best lineups based on players’ estimated generalized Shapley values conditional on specific constraints, such as an injury or an “a-priori” coach’s decision. A comparison of our proposed approach with industry-standard counterparts shows a strong linear relation. We show the application of our proposed method to seventeen full NBA seasons (from 2004/2005 to 2020/21). We eventually estimate generalized Shapley values for Utah Jazz players and we show how our method is allowed to be used to form best lineups.
Stochastic dominance spanning and augmenting the human development index with institutional quality
Authors: Pinar Mehmet , Stengos Thanasis , Topaloglou Nikolas 
Published: April 2022

AbstractThe well-known Human Development Index (HDI) goes beyond a single measure of well-being as it is constructed as a composite index of achievements in education, income, and health dimensions. However, it is argued that the above dimensions do not reflect the overall well-being, and new indicators should be included in its construction. This paper uses stochastic dominance spanning to test the inclusion of additional institutional quality (governance) dimensions to the HDI, and we examine whether the augmentation of the original set of welfare dimensions by an additional component leads to distributional welfare gains or losses or neither. We find that differently constructed indicators of the same institutional quality measure produce different distributions of well-being.
Optimising small-scale electronic commerce supply chain operations: a dynamic cost-sharing contract approach
Authors: Rathnasiri Sahani , Ray Pritee , Vega-Mejía Carlos A. , Islam Sardar M. N. , Rana Nripendra P. , Dwivedi Yogesh K. 
Published: April 2022

AbstractFor small-scale electronic commerce supply chains, designing effective strategies to improve operational effectiveness, market share and long-term survival are essential aspects. However, researchers have given less attention in addressing these issues. This study proposes a dynamic cost-sharing contract for an e-tailer supply chain to address the issues of asymmetric information, long-term integration, and ineffective costs. We include consistency constraints to obtain stable incentives over time and eliminate the need for re-negotiation. The findings emphasise that the dynamic contract significantly reduces the overall supply chain costs. The consistency constraints guarantee high incentives, thus assuring the players remain in the total contract period and enable long-term integration.
Anticipatory scheduling of synchromodal transport using approximate dynamic programming
Authors: Rivera Arturo E. Pérez , Mes Martijn R. K. 
Published: April 2022

AbstractWe study the problem of scheduling container transport in synchromodal networks considering stochastic demand. In synchromodal networks, the transportation modes can be selected dynamically given the actual circumstances and performance is measured over the entire network and over time. We model this problem as a Markov Decision Process and propose a heuristic solution based on Approximate Dynamic Programming (ADP). Due to the multi-period nature of the problem, the one-step look-ahead perspective of the traditional approximate value-iteration approach can make the heuristic flounder and end in a local-optimum. To tackle this, we study the inclusion of Bayesian exploration using the Value of Perfect Information (VPI). In a series of numerical experiments, we show how VPI significantly improves a traditional ADP algorithm. Furthermore, we show how our proposed ADP–VPI combination achieves significant gains over common practice heuristics.
Inner-imaging 3D attention module for residual network
Authors: Liu Wenjie , Wu Guoqing , Ren Fuji , Shi Quan 
Published: April 2022

AbstractWe propose an Inner-Imaging three-dimensional (3D) attentional feature fusion module for a residual network, which is a simple yet effective approach for residual networks. In our attention module, we constructed a 3D soft attention feature map to refine the input feature. The map fuses the attentional features from different dimensions, including channel and spatial axes, to create a 3D attention map. Then, we implemented a feature fusion module to further fuse the attentional features. Lastly, the attention module outputs a 3D soft attention map that is applied to the residual branch. The attention module can also model the relationship between attentional features from different dimensions and achieve the interaction between attentional features. This function allows our attention module to acquire more attentional features. To demonstrate the effectiveness of our method, extensive experiments were conducted on several computer vision benchmark datasets, including ImageNet 2012 and Microsoft COCO (MS COCO) 2017 datasets. The experimental results show that our method performed better than the baseline methods in the tasks of image classification, object detection, and instance segmentation tasks.
Explaining predictions and attacks in federated learning via random forests
Authors: Haffar Rami , Sánchez David , Domingo-Ferrer Josep 
Published: April 2022

AbstractArtificial intelligence (AI) is used for various purposes that are critical to human life. However, most state-of-the-art AI algorithms are black-box models, which means that humans cannot understand how such models make decisions. To forestall an algorithm-based authoritarian society, decisions based on machine learning ought to inspire trust by being explainable. For AI explainability to be practical, it must be feasible to obtain explanations systematically and automatically. A usual methodology to explain predictions made by a (black-box) deep learning model is to build a surrogate model based on a less difficult, more understandable decision algorithm. In this work, we focus on explaining by means of model surrogates the (mis)behavior of black-box models trained via federated learning. Federated learning is a decentralized machine learning technique that aggregates partial models trained by a set of peers on their own private data to obtain a global model. Due to its decentralized nature, federated learning offers some privacy protection to the participating peers. Nonetheless, it remains vulnerable to a variety of security attacks and even to sophisticated privacy attacks. To mitigate the effects of such attacks, we turn to the causes underlying misclassification by the federated model, which may indicate manipulations of the model. Our approach is to use random forests containing decision trees of restricted depth as surrogates of the federated black-box model. Then, we leverage decision trees in the forest to compute the importance of the features involved in the wrong predictions. We have applied our method to detect security and privacy attacks that malicious peers or the model manager may orchestrate in federated learning scenarios. Empirical results show that our method can detect attacks with high accuracy and, unlike other attack detection mechanisms, it can also explain the operation of such attacks at the peers’ side.
Method validation and risk assessment for sulfonamides and tetracyclines in bees’ honey from Egypt, Libya and Saudi Arabia
Authors: Ahmed Mohamed Bedair M. , Taha Amro Ahmed , Mehaya Fathy Mohamed Saber 
Published: April 2022

AbstractSeveral studies worldwide have reported contamination of bees’ honey by antibiotics, which may pose a hazard to consumers’ health. The present study was thus established to: (1) introduce a validated multi-residue method for determining sulfonamides (SAs) and tetracyclines (TCs) in honey; and (2) characterize the potential risk due to the exposure to SAs and TCs in honey samples from Egypt, Libya, and Saudi Arabia. SAs and TCs were simultaneously extracted using solid-phase extraction and matrix solid phase dispersion methods. SAs and TCs were screened using HPLC–MS/MS and HPLC–DAD. The results confirmed detection limits for SAs and TCs by HPLC–MS/MS of 0.01 and 0.02–0.04 (ng g−1), respectively. The limits were 2.5–5.6 and 12.0–21.0 (ng g−1) for SAs and TCs by HPLC–DAD, respectively. The obtained accuracy rates were in the ranges of 83.07–86.93% and 86.90–91.19%, respectively, for SAs and TCs, with precision rates lower than 9.54%. Concerning the occurrence of antibiotics, the positive samples constituted 57.6%, 75%, and 77.7% of the Egyptian, Saudi Arabian, and Libyan samples, respectively. Notably, SAs antibiotics were the most prevalent in the Egyptian and Saudi Arabian samples; in contrast, TCs were the most dominant in Libya. Calculated parameters of risk assessment, concerning the aggregated exposure to SAs and TCs, showed no potential adverse effects from the exposure to contaminated honey in studied countries.
Last minute only bidding is implausible in eBay sealed bid type-of-auctions
Authors: Dimitri Nicola 
Published: April 2022

AbstractIn recent years internet auctions have attracted much attention. This paper discusses the "last minute bidding" (sniping) phenomenon, first investigated by Roth and Ockenfels (American Economic Review 92, 1093-1103) in eBay, fixed-end, auctions. Unlike standard auctions where each offer is processed by the auctioneer due to system traffic, and connection time, in eBay auctions very late bids may be left unprocessed. In the paper we consider a simple two-players, two-periods sealed-bid auction model, inspired by eBay auctions, with private values and complete information. The main difference with respect to e-Bay auctions is given by the first period. Indeed, players can submit at most one bid per period. In the first stage bids are processed with certainty by the system while in the second stage, with positive probability, bids may not be processed due to system congestion. Unlike eBay we show how in this model last minute, that is second stage only, bidding may have low plausibility, as it can be a Nash equilibrium only under very specific circumstances and is never a unique best reply. Intuitively this is because the first stage is sealed-bid, with at most one offer per bidder, and players have no guarantee that they could outbid the opponent in the second period, once after the first round they realise that their bid is not the best.
US National Banks and Local Economic Fragility
Authors: Calice Giovanni , Gam Yong Kyu 
Published: April 2022

AbstractWe examine the relationship between US national banks’ local market shares and the economic fragility of the counties in which they operate. We find that counties with national banks that have large local market shares experience a greater fluctuation in their income growth in the subsequent year. Further, an increase in income growth is more pronounced during normal times but declines significantly in a distressed market. We further find that the national banks create greater liquidity during normal times and lower liquidity in distressed times. Overall, our results indicate that national banks may expose local economies to macro-level distress.
The market for foreign cinema in contemporary Italy: a geography of film consumption
Authors: Avezzù Giorgio 
Published: April 2022

AbstractThe article aims at studying the geographical variability of theatrical consumption and popularity of contemporary films imported in Italy since the beginning of the XXI century. It relies on the data about regional admissions and theatrical distribution of more than 4100 titles, namely all the films with more than 15,000 admissions that had been projected in Italy from January 2000 to the pandemic outbreak in mid-February 2020, which forced the closure of all cinemas nationwide. While the regional patterns of distribution of both domestic and foreign films are always rather homogeneous and do not undergo major regional variations, Italian and non-Italian films are consumed in very different ways, geographically. When it comes to foreign cinema, a Regional Popularity Index shows how different regions and primarily wider trans-regional areas have different preferences linked to particular themes and genres. Different films are more or less popular in different areas, even regardless of any disparities in their distribution, precisely because they meet (or fail to meet) the specific tastes of macro-regional audiences. Specifically, the data consistently show a divide in taste between the northern-central audiences and their southern counterparts, which replicates the great distance that still divides the North from the South of Italy, from an economic, social and cultural point of view.