bluuebunny/crossref_metadata_2025_split huggingface dataset:
Don’t miss the mismatch: investigating the objective function mismatch for unsupervised representation learning
Authors: Stuhr Bonifaz , Brauer Jürgen 
Published: February 2022

AbstractFinding general evaluation metrics for unsupervised representation learning techniques is a challenging open research question, which recently has become more and more necessary due to the increasing interest in unsupervised methods. Even though these methods promise beneficial representation characteristics, most approaches currently suffer from the objective function mismatch. This mismatch states that the performance on a desired target task can decrease when the unsupervised pretext task is learned too long–especially when both tasks are ill-posed. In this work, we build upon the widely used linear evaluation protocol and define new general evaluation metrics to quantitatively capture the objective function mismatch and the more generic metrics mismatch. We discuss the usability and stability of our protocols on a variety of pretext and target tasks and study mismatches in a wide range of experiments. Thereby we disclose dependencies of the objective function mismatch across several pretext and target tasks with respect to the pretext model’s representation size, target model complexity, pretext and target augmentations as well as pretext and target task types. In our experiments, we find that the objective function mismatch reduces performance by$$\sim$$∼0.1–5.0% for Cifar10, Cifar100 and PCam in many setups, and up to$$\sim$$∼25–59% in extreme cases for the 3dshapes dataset.
Evidence-based clinical practice guidelines for gastroesophageal reflux disease 2021
Authors: Iwakiri Katsuhiko , Fujiwara Yasuhiro , Manabe Noriaki , Ihara Eikichi , Kuribayashi Shiko , Akiyama Junichi , Kondo Takashi , Yamashita Hiroshi , Ishimura Norihisa , Kitasako Yuichi , Iijima Katsunori , Koike Tomoyuki , Omura Nobuo , Nomura Tsutomu , Kawamura Osamu , Ohara Shuichi , Ozawa Soji , Kinoshita Yoshikazu , Mochida Satoshi , Enomoto Nobuyuki , Shimosegawa Tooru , Koike Kazuhiko 
Published: February 2022

AbstractIn Japan, with the increasing prevalence of gastroesophageal reflux disease (GERD) and growing public interest, the Japanese Society of Gastroenterology issued Evidence-based Clinical Practice Guidelines for GERD (1st edition) in 2009 and a revised 2nd edition in 2015. A number of studies on GERD were subsequently conducted in Japan and abroad, and vonoprazan, a potassium-competitive acid blocker (P-CAB), became available for the first time in Japan in February 2015. The revised 3rd edition (Japanese edition), which incorporates new findings and information, was published in April 2021. These guidelines are summarized herein, particularly sections related to the treatment of GERD. The important clinical issues addressed in the present revision are (i) the introduction of treatment algorithms that classify GERD into reflux esophagitis and non-erosive reflux disease, (ii) the clarification of treatment algorithms based on to the severity of reflux esophagitis, and (iii) the positioning of vonoprazan in the treatment for GERD. The present guidelines propose vonoprazan as the initial/maintenance treatment for severe reflux esophagitis. They also recommend vonoprazan or PPI as an initial treatment for mild reflux esophagitis and recommended PPI and proposed vonoprazan as maintenance treatment. These updated guidelines offer the best clinical strategies for GERD patients in Japan and hope that they will be of global use for the diagnosis and treatment for GERD.
Cost-effectiveness of anterior surgical decompression surgery for cervical degenerative disk disease: a systematic review of economic evaluations
Authors: Schuermans V. N. E. , Smeets A. Y. J. M. , Boselie A. F. M. , Zarrouk O. , Hermans S. M. M. , Droeghaag R. , Curfs I. , Evers S. M. A. A. , van Santbrink H. 
Published: February 2022

Abstract
Purpose
No clear consensus exists on which anterior surgical technique is most cost-effective for treating cervical degenerative disk disease (CDDD). One of the most common treatment options is anterior cervical discectomy with fusion (ACDF). Anterior cervical discectomy with arthroplasty (ACDA) was developed in an effort to reduce the incidence of clinical adjacent segment pathology and associated additional surgeries by preserving motion. This systematic review aims to evaluate the evidence regarding the cost-effectiveness of anterior surgical decompression techniques used to treat radiculopathy and/or myelopathy caused by CDDD.

Methods
The search was conducted in PubMed, EMBASE, Web of Science, CINAHL, EconLit, NHS-EED and the Cochrane Library. Studies were included if healthcare costs and utility or effectivity measurements were mentioned.

Results
A total of 23 studies were included out of the 1327 identified studies. In 9 of the 13 studies directly comparing ACDA and ACDF, ACDA was the most cost-effective technique, with an incremental cost effectiveness ratio ranging from $2.900/QALY to $98.475/QALY. There was great heterogeneity between the costs of due to different in- and exclusion criteria of costs and charges, cost perspective, baseline characteristics, and calculation methods. The methodological quality of the included studies was moderate.

Conclusion
The majority of studies report ACDA to be a more cost-effective technique in comparison with ACDF. The lack of uniform literature impedes any solid conclusions to be drawn. There is a need for high-quality cost-effectiveness research and uniformity in the conduct, design and reporting of economic evaluations concerning the treatment of CDDD.

Trial registration
PROSPERO Registration: CRD42020207553 (04.10.2020).
IoT-oriented high-efficient anti-malware hardware focusing on time series metadata extractable from inside a processor core
Authors: Koike Kazuki , Kobayashi Ryotaro , Katoh Masahiko 
Published: February 2022

AbstractWe aim to improve the efficiency of our previously proposed anti-malware hardware; it is a hardware-implemented malware detection mechanism that uses information inside the processor. We previously evaluated a prototype, but, due to its prototypical nature, there remain limitations, such as only detecting certain behaviors, high power consumption, and a tendency to bloat the training model. In this paper, we propose a circuit and a learning method to achieve high efficiency, low power consumption, and light weight for the model. In considering these three issues, we focus on time-series metadata obtained by transforming the processor information. To improve efficiency, we implement predictive detection to predict the behavior of metadata in the malware detection component. This lets the model detect malware within less than 19% of the number of execution cycles of the conventional method. To reduce power consumption, we implement a sampling circuit that interrupts the input to the detection circuit at regular intervals, reducing the system’s uptime by 99% while maintaining judgment accuracy. Finally, for a light weight, we focus on the training process of the metadata generator based on a machine-learning model. By applying sampling learning and feature dimensionality reduction in the training process, a metadata generator approximately 16% smaller than the previous version is created.
BSREM for Brain Metastasis Detection with 18F-FDG-PET/CT in Lung Cancer Patients
Authors: Liberini Virginia , Pizzuto Daniele A. , Messerli Michael , Orita Erika , Grünig Hannes , Maurer Alexander , Mader Cäcilia , Husmann Lars , Deandreis Désirée , Kotasidis Fotis , Trinckauf Josey , Curioni Alessandra , Opitz Isabelle , Winklhofer Sebastian , Huellner Martin W. 
Published: February 2022

AbstractThe aim of the study was to analyze the use of block sequential regularized expectation maximization (BSREM) with different β-values for the detection of brain metastases in digital fluorine-18 labeled 2-deoxy-2-fluoro-D-glucose (18F-FDG) PET/CT in lung cancer patients. We retrospectively analyzed staging/restaging 18F-FDG PET/CT scans of 40 consecutive lung cancer patients with new brain metastases, confirmed by MRI. PET images were reconstructed using BSREM (β-values of 100, 200, 300, 400, 500, 600, 700) and OSEM. Two independent blinded readers (R1 and R2) evaluated each reconstruction using a 4-point scale for general image quality, noise, and lesion detectability. SUVmax of metastases, brain background, target-to-background ratio (TBR), and contrast recovery (CR) ratio were recorded for each reconstruction. Among all reconstruction techniques, differences in qualitative parameters were analyzed using non-parametric Friedman test, while differences in quantitative parameters were compared using analysis of variances for repeated measures. Cohen’s kappa (k) was used to measure inter-reader agreement. The overall detectability of brain metastases was highest for BSREM200 (R1: 2.83 ± 1.17; R2: 2.68 ± 1.32) and BSREM300 (R1: 2.78 ± 1.23; R2: 2.68 ± 1.36), followed by BSREM100, which had lower accuracy owing to noise. The highest median TBR was found for BSREM100 (R1: 2.19 ± 1.05; R2: 2.42 ± 1.08), followed by BSREM200 and BSREM300. Image quality ratings were significantly different among reconstructions (p < 0.001). The median quality score was higher for BSREM100-300, and both noise and metastases’ SUVmax decreased with increasing β-value. Inter-reader agreement was particularly high for the detectability of photopenic metastases and blurring (all k > 0.65). BSREM200 and BSREM300 yielded the best results for the detection of brain metastases, surpassing both BSREM400 and OSEM, typically used in clinical practice.
Modeling and mitigating supply chain disruptions as a bilevel network flow problem
Authors: Glogg René Y. , Timonina-Farkas Anna , Seifert Ralf W. 
Published: February 2022

AbstractYears of globalization, outsourcing and cost cutting have increased supply chain vulnerability calling for more effective risk mitigation strategies. In our research, we analyze supply chain disruptions in a production setting. Using a bilevel optimization framework, we minimize the total production cost for a manufacturer interested in finding optimal disruption mitigation strategies. The problem constitutes a convex network flow program under a chance constraint bounding the manufacturer’s regrets in disrupted scenarios. Thus, in contrast to standard bilevel optimization schemes with two decision-makers, a leader and a follower, our model searches for the optimal production plan of a manufacturer in view of a reduction in the sequence of his own scenario-specific regrets. Defined as the difference in costs of a reactive plan, which considers the disruption as unknown until it occurs, and a benchmark anticipative plan, which predicts the disruption in the beginning of the planning horizon, the regrets allow measurement of the impact of scenario-specific production strategies on the manufacturer’s total cost. For an efficient solution of the problem, we employ generalized Benders decomposition and develop customized feasibility cuts. In the managerial section, we discuss the implications for the risk-adjusted production and observe that the regrets of long disruptions are reduced in our mitigation strategy at the cost of shorter disruptions, whose regrets typically stay far below the risk threshold. This allows a decrease of the production cost under rare but high-impact disruption scenarios.
Odor learning improves efficacy of egg parasitoids as biocontrol agents against Tuta absoluta
Authors: Gonthier Jérémy , Zhang Yi-Bo , Zhang Gui-Fen , Romeis Jörg , Collatz Jana 
Published: February 2022

AbstractTrichogramma spp. (Hymenoptera: Trichogrammatidae) are generalist egg parasitoids widely used as biological control agents, yet with limited efficacy against Tuta absoluta (Meyrick; Lepidoptera: Gelechiidae), a key pest of tomato. Olfactory cues related to the host-plant complex influence the searching behavior in parasitoids. Studies have shown that female Trichogramma spp. can learn odor cues affecting their preference. We assessed if learning increases the response to tomato odor and whether it improves the parasitism rate of Trichogramma achaeae, Trichogramma evanescens, and Trichogramma dendrolimi. The parasitoids were either naive, reared for one generation on T. absoluta eggs, or conditioned associatively with an oviposition experience on a factitious host in the presence of tomato odor. Subsequently, their arrestment response (searching time) to T. absoluta-infested tomato leaves was observed in a static four-chamber olfactometer. Rearing the parasitoids on T. absoluta increased the arrestment time of T. dendrolimi strongly and that of T. evanescens slightly but not that of T. achaeae. In contrast, oviposition experience on a factitious host with the tomato odor (leaves or extract) increased the searching time of T. achaeae and T. evanescens strongly but did not improve the response of T. dendrolimi. Concerning parasitism improvement, only T. achaeae showed an increased parasitism rate after associative learning. Hence, the learning capacity of T. achaeae should be further explored to improve its biological control efficacy against T. absoluta.
Cellulose-g-tetraethylenepentamine dual-function imprinted polymers selectively and effectively adsorb and remove 4-nitrophenol and Cr(VI)
Authors: Lang Daning , Xu Xia , Wu Ronglan , Wang Wei , Shi Ming , Jia Ke , Chen Shifei , Wang Jide 
Published: February 2022

AbstractA cellulosic material has been synthesized that could efficiently and selectively adsorb organic and inorganic contaminants from aqueous solutions without interference from competing adsorption sites. Cellulose-graft-tetraethylenepentamine molecular imprinted polymer (C-TEPA-MIP) was synthesized by using 4-nitrophenol (4-NP) as the template. The C-TEPA-MIP adsorbent could adsorb 4-NP and Cr(VI) simultaneously and selectively, without being affected by the competitive adsorption sites of each of these pollutants. The adsorption of 4-NP was predominantly due to the imprinted sites of 4-NP in C-TEPA-MIP that were located inside of the adsorbent, whereas that of Cr(VI) was primarily due to the amine groups of TEPA found on the surface of the adsorbent. Compared with the non-imprint polymer synthesized without the template, C-TEPA-MIP showed higher selectivity for both 4-NP and Cr(VI) in unitary and binary systems. In addition, C-TEPA-MIP exhibited good stability and recyclability for 4-NP, which makes it a promising candidate material for applications concerning wastewater treatment.
Graphical abstract
Economic expectations and anxiety during the COVID-19 pandemic: a one-year longitudinal evaluation on Italian university students
Authors: Busetta Giovanni , Campolo Maria Gabriella , Panarello Demetrio 
Published: February 2022

AbstractThe COVID-19 pandemic has produced an extensive aggravation of people’s anxiety level. Different policies aimed at fighting the spread of the virus could affect anxiety in various ways. We built an ad hoc web-based survey, administered to the student population of three Italian universities at the beginning of the pandemic and at one year’s distance, to collect information on retrospective and current anxiety levels and the underlining reasons. The survey also included questions concerning sociodemographic, economic, labor, lifestyle, academic career, and on-line teaching features, which prevents students from identifying the main survey topic to be anxiety. This research aims at assessing the change in anxiety levels between the analyzed periods and the main determinants of such change, focusing on students’ economic expectancies. Results from a Poisson regression model show that anxiety has increased compared to both the pre-pandemic level and the one quantified during the first lockdown. This increase is revealed to be mostly driven by economic and career-related uncertainties, rather than by job loss and proximity to COVID-19. Thus, policymakers should take action to provide certainties both in terms of economic prospects and reopening strategies, especially to avoid that the resulting increase in anxiety translates into an amplified suicide risk.
Disentangling the Bidirectional Relationships Across the Corporate Sustainable Development Indicators
Authors: Kyaw Khine , Pindado Julio , de-la-Torre Chabela 
Published: February 2022

AbstractThis study disentangles the relationships that exist between the four indicators of corporate sustainable development: economic, environmental, social, and governance. We account for the potential bidirectionality of the relationships, control for the dynamic nature of the sustainability process, and address the endogeneity problem to appropriately analyze the sustainability process. We estimated a panel data from 734 U.S. companies from 2004 through 2016 by using the system generalized method of moments and find evidence of a clear dynamic nature of the businesses’ sustainability process. The results show that the current levels of the four sustainable development indicators are strongly determined by the levels of these indicators in the two previous years. Our results also show that corporate sustainable development follows a virtuous circle. The relationships across the economic, environmental, and social indicators are bidirectional and positive. Hence, these three sustainability indicators do not compete for available resources. On the contrary, they are tightly interconnected in a firm’s sustainable development processes. Therefore, practitioners and regulators should consider these indicators simultaneously to promote sustainability in businesses and apply long-term sustainability policies. Altogether, our evidence supports the idea that firms can do good by doing well, and they do well by doing good.
Alethic pluralism for pragmatists
Authors: Kaspers Tom 
Published: February 2022

AbstractPragmatism and the correspondence theory of truth are longtime foes. Nevertheless, there is an argument to be made that pragmatists must embrace truth as correspondence. I show that there is a distinctive pragmatic utility to taking truth to be correspondence, and I argue that it would be inconsistent for pragmatists to accept the utility of the belief that truth is correspondence while resisting the premise that this belief is correct.In order to show how pragmatists can embrace truth as correspondence, I develop a kind of alethic pluralism, which treats pragmatist truth as theoretically fundamental to truth as correspondence. This theoretical fundamentality of pragmatist truth allows the pragmatist to conditionally accept truth as correspondence for certain discourses without falling prey to the typical pragmatist objections to correspondence. This pluralist account of truth thus allows pragmatists to concede that, for certain domains of discourse, truth is correspondence, without thereby betraying their pragmatist principles.
Characterization of browning during CO2 deastringency treatment in astringent persimmon fruit
Authors: Han Weijuan , Cao Kun , Diao Songfeng , Sun Peng , Li Huawei , Mai Yini , Suo Yujing , Fu Jianmin 
Published: February 2022

AbstractDeastringency treatment with CO2 is an effective and convenient method for improving the marketability of persimmon fruit. However, the main persimmon cultivars in China turn brown very quickly following exposure to a high-CO2 atmosphere, causing significant economic loss. However, the mechanisms of persimmon browning under CO2 treatment remain largely unknown. In this study, we evaluated components and enzymes related to persimmon fruit browning. The results revealed that astringency was alleviated by simultaneous reduction of soluble tannin content and accumulation of insoluble tannin. During persimmon browning, fruit firmness, total phenolic content, and phenylalanine ammonia lyase (PAL) activity decreased significantly, whereas malondialdehyde (MDA), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and polyphenol oxidase (PPO) activity increased significantly, suggesting that reactive oxygen species (ROS)-scavenging enzymes and non-enzymatic antioxidants cannot effectively maintain redox reaction balance to protect cell membranes from oxidative damage during CO2 treatment. An untargeted metabolomics analysis identified 19 polyhydroxyphenols that were downregulated in CO2-treated fruit, suggesting that phenolics may act as a substrate for persimmon browning. We also identified 11 metabolites associated with abiotic stress. Together, these results study provide valuable information on the mechanism of persimmon fruit browning induced by CO2 treatment and will contribute to the ongoing development of the persimmon fruit industry.
Intelligent predetection of projected reference markers for robot-based inspection systems
Authors: Bauer Philipp , Schmitt Stefan , Dirr Jonas , Magaña Alejandro , Reinhart Gunther 
Published: February 2022

AbstractTechnical advancements in optical devices like sensors and projectors have led to tremendous innovations in manufacturing metrology, not least due to reductions in cost and the use of sophisticated image processing software. More recently, methods based on machine learning have demonstrated their high potential in meeting challenges that are difficult to overcome using conventional image processing techniques. In this context, we present an approach for the intelligent predetection of projected reference markers in robot-based inspection systems. These markers support the alignment of different sensor views and do not need to be physically attached to any parts. However, their robust detection is challenging under unfavorable lighting conditions. Hence, we introduce trained models of a cascade classifier based on both synthetic and real image data. Subsequently, we present the detection performance for different shapes and designs of markers projected onto real-world sheet metal parts as used in the automotive industry. The results demonstrate that properly trained classifiers can achieve a recall and precision of 90% and higher. The use of intelligent predetection promises more robust results in the subsequent detection of projected markers and, thus, benefits image processing in particular in geometric quality assurance applications.
Essential Metals and Trace Elements in Cereals and Their Derivatives Commercialized and Consumed in Cape Verde
Authors: Rubio-Armendáriz Carmen , Gutiérrez Ángel J. , Gomes-Furtado Verena , González-Weller Dailos , Revert Consuelo , Hardisson Arturo , Paz Soraya 
Published: February 2022

Abstract
Cereals and their derivatives are basic foods in the human diet and a source of minerals, but the content of elements may vary depending on the type of cereal or its processing. The levels of Na, K, Ca, Mg, Fe, Cu, Zn, Mo, Co, and Mn have been determined in 126 samples of cereals and cereal derivatives (rice, corn gofio, corn flour, wheat flour, corn, and wheat) commercialized and consumed in Cape Verde using an inductively coupled plasma-optical emission spectrometer (ICP-OES) after a wet microwave digestion process. Some elements stand out in products such as corn gofio (K), wheat (Mg), and wheat flour (Fe). Negative correlations were found between Mo-Na and Na-Zn that could suggest interference between these elements. Bearing in mind the dietary intake evaluation and the guideline values provided by EFSA (European Food Safety Authority) or FAO (Food Authority Organization), the consumption of wheat (100 g/day) provides a notable contribution of Mo, Mn, Fe, and Mg. Considering the nutritional value of the analyzed essential and trace elements, the consumption of different cereals and their derivatives should be promoted.