bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shrink–swell index prediction through deep learning
Authors: Teodosio B. , Wasantha P. L. P. , Yaghoubi E. , Guerrieri M. , C. van Staden R. , Fragomeni S. 
Published: October 2022

AbstractGrowing application of artificial intelligence in geotechnical engineering has been observed; however, its ability to predict the properties and nonlinear behaviour of reactive soil is currently not well considered. Although previous studies provided linear correlations between shrink–swell index and Atterberg limits, obtained model accuracy values were found unsatisfactory results. Artificial intelligence, specifically deep learning, has the potential to give improved accuracy. This research employed deep learning to predict more accurate values of shrink–swell indices, which explored two scenarios; Scenario 1 used the features liquid limit, plastic limit, plasticity index, and linear shrinkage, whilst Scenario 2 added the input feature, fines percentage passing through a 0.075-mm sieve (%fines). Findings indicated that the implementation of deep learning neural networks resulted in increased model measurement accuracy in Scenarios 1 and 2. The values of accuracy measured in this study were suggestively higher and have wider variance than most previous studies. Global sensitivity analyses were also conducted to investigate the influence of each input feature. These sensitivity analyses resulted in a range of predicted values within the variance of data in Scenario 2, with the %fines having the highest contribution to the variance of the shrink–swell index and a relevant interaction between linear shrinkage and %fines. The proposed model Scenario 2 was around 10–65% more accurate than the preceding models considered in this study, which can then be used to expeditiously estimate more accurate values of shrink–swell indices.
Reviving autoencoder pretraining
Authors: Xie You , Thuerey Nils 
Published: October 2022

AbstractThe pressing need for pretraining algorithms has been diminished by numerous advances in terms of regularization, architectures, and optimizers. Despite this trend, we re-visit the classic idea of unsupervised autoencoder pretraining and propose a modified variant that relies on a full reverse pass trained in conjunction with a given training task. This yields networks that areas-invertible-as-possibleand share mutual information across all constrained layers. We additionally establish links between singular value decomposition and pretraining and show how it can be leveraged for gaining insights about the learned structures. Most importantly, we demonstrate that our approach yields an improved performance for a wide variety of relevant learning and transfer tasks ranging from fully connected networks over residual neural networks to generative adversarial networks. Our results demonstrate that unsupervised pretraining has not lost its practical relevance in today’s deep learning environment.
Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers
Authors: Hoedt Katharina , Praher Verena , Flexer Arthur , Widmer Gerhard 
Published: October 2022

AbstractGiven the rise of deep learning and its inherent black-box nature, the desire to interpret these systems and explain their behaviour became increasingly more prominent. The main idea of so-called explainers is to identify which features of particular samples have the most influence on a classifier’s prediction, and present them as explanations. Evaluating explainers, however, is difficult, due to reasons such as a lack of ground truth. In this work, we construct adversarial examples to check the plausibility of explanations, perturbing input deliberately to change a classifier’s prediction. This allows us to investigate whether explainers are able to detect these perturbed regions as the parts of an input that strongly influence a particular classification. Our results from the audio and image domain suggest that the investigated explainers often fail to identify the input regions most relevant for a prediction; hence, it remains questionable whether explanations are useful or potentially misleading.
Current status and future perspective of linked color imaging for gastric cancer screening: a literature review
Authors: Yashima Kazuo , Onoyama Takumi , Kurumi Hiroki , Takeda Yohei , Yoshida Akira , Kawaguchi Koichiro , Yamaguchi Naoyuki , Isomoto Hajime 
Published: October 2022

AbstractScreening endoscopy has advanced to facilitate improvements in the detection and prognosis of gastric cancer. However, most early gastric cancers (EGCs) have subtle morphological or color features that are difficult to detect by white-light imaging (WLI); thus, even well-trained endoscopists can miss EGC when using this conventional endoscopic approach. This review summarizes the current and future status of linked color imaging (LCI), a new image-enhancing endoscopy (IEE) method, for gastric screening. LCI has been shown to produce bright images even at a distant view and provide excellent visibility of gastric cancer due to high color contrast relative to the surrounding tissue. LCI delineates EGC as orange-red and intestinal metaplasia as purple, regardless of a history of Helicobacter pylori (Hp) eradication, and contributes to the detection of superficial EGC. Moreover, LCI assists in the determination of Hp infection status, which is closely related to the risk of developing gastric cancer. Transnasal endoscopy (ultra-thin) using LCI is also useful for identifying gastric neoplastic lesions. Recently, several prospective studies have demonstrated that LCI has a higher detection ratio for gastric cancer than WLI. We believe that LCI should be used in routine upper gastrointestinal endoscopies.
Point-of-care ultrasound in the head and neck region
Authors: Furukawa Madoka , Hashimoto Kaori , Kitani Yuka , Yoshida Manatsu 
Published: October 2022

AbstractPoint-of-care ultrasound (POCUS) in the head and neck region plays a particularly significant role in the diagnosis and treatment of upper airway stenosis, swelling, and painful diseases in the neck, and in the evaluation of swallowing function. Therefore, it should be performed in various medical settings beyond the boundaries of the clinical department such as general medicine, emergency medicine, anesthesiology, orthopedics, and pediatrics. The target diseases are salivary gland disease, lymph node disease, pharyngeal disease, laryngeal disease, esophageal disease, thyroid disease, and dysphagia and dyspnea due to various causes. Head and neck POCUS is an extremely useful diagnostic method for both patients and doctors, and its use is expected to become more widespread in the future.
Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year
Authors: Hooley Cole , Salvo Deborah , Brown Derek S. , Brookman-Frazee Lauren , Lau Anna S. , Brownson Ross C. , Fowler Patrick J. , Innes-Gomberg Debbie , Proctor Enola K. 
Published: October 2022

Abstract
Purpose
In the U.S., the percentage of youth in need of evidence-based mental health practices (EBPs) who receive them (i.e., coverage rate) is low. We know little about what influences coverage rates. In 2010, the Los Angeles County Department of Mental Health (LACDMH) launched a reimbursement-driven implementation of multiple EBPs in youth mental health care. This study examines two questions: (1) What was the coverage rate of EBPs delivered three years following initial implementation? (2) What factors are associated with the coverage rates?

Methods
To assess coverage rates of publicly insured youth, we used LACDMH administrative claims data from July 1, 2013 to June 30, 2014 and estimates of the size of the targeted eligible youth population from the 2014 American Community Survey (ACS). The unit of analysis was clinic service areas (n = 254). We used Geographic Information Systems and an OLS regression to assess community and clinic characteristics related to coverage.

Results
The county coverage rate was estimated at 17%, much higher than national estimates. The proportion of ethnic minorities, individuals who are foreign-born, adults with a college degree within a geographic area were negatively associated with clinic service area coverage rates. Having more therapists who speak a language other than English, providing care outside of clinics, and higher proportion of households without a car were associated with higher coverage rates.

Conclusion
Heterogeneity in municipal mental health record type and availability makes it difficult to compare the LACDMH coverage rate with other efforts. However, the LACDMH initiative has higher coverage than published national rates. Having bilingual therapists and providing services outside the clinic was associated with higher coverage. Even with higher coverage, inequities persisted.
Equitable buyouts? Learning from state, county, and local floodplain management programs
Authors: Shi Linda , Fisher Anjali , Brenner Rebecca M. , Greiner-Safi Amelia , Shepard Christine , Vanucchi Jamie 
Published: October 2022

AbstractClimate change-exacerbated flooding has renewed interest in property buyouts as a pillar of managed retreat from coastal zones and floodplains in the United States. However, federal buyout programs are widely critiqued for being inaccessible and inequitable. To learn whether and how subnational buyout programs overcome these limitations, we examined five leading US state, county, and local buyout programs to see what they teach us about redesigning future federal policies. Our mixed-methods research used interviews and document analysis to develop case studies, juxtaposed subnational strategies against a review of critiques of federal buyouts, and focus group discussions with subnational buyout managers and experts to identify limitations of their programs. We find that subnational programs can be more inclusive and better respond to resident needs as compared to existing federal programs due to their access to dedicated, non-federal funding and their standing institutional status, which allows them to learn and evolve over time. Nevertheless, these programs lack coordination with and control over agencies that permit development and produce affordable housing. This gives buyout programs limited power in shaping the overall equity of who lives in floodplains and who has access to affordable, resilient housing after a buyout. Their experiences suggest federal programs can support managed retreat nationwide by increasing support for institutional and staff capacity at state and county levels, encouraging efforts to bridge institutional silos at subnational levels, and holistically mainstream climate considerations into regional floodplain development, affordable housing production, and flood risk mitigation.
A Sacred Tree in the Boreal forest: A Narrative About a Sámi Shaman, her Tree, and the Forest Landscape
Authors: Bergman Ingela , Östlund Lars 
Published: October 2022

AbstractSince the early nineteenth century, forest landscapes and socio-economic contexts have significantly changed in northernmost Sweden. These processes include agrarian colonisation, the Christianisation of the indigenous Sámi people, and the transfer of land tenure. We aim to analyse how Sámi religious practice manifested itself in a time of dramatic social transition in northern Sweden by focussing on the life and religious practice of a Sámi woman known as the shaman Guoksik-gummo, 'the Lady of the Siberian Jay.' We analyse a range of historical records and one specific sacred tree related to her to understand this period better and illuminate the changes in land-use religious practice and landscape transformation between the early nineteenth century and the early twenty-first century. We conclude that better documentation, more vital protection by law of Sámi cultural traces in northern landscapes, and better consultation with Sámi are needed in the future.
Spatio-temporal variation of surface soil hydraulic properties under different tillage and maize-based crop sequences in a Mediterranean area
Authors: Talukder Rasendra , Plaza-Bonilla Daniel , Cantero-Martínez Carlos , Di Prima Simone , Lampurlanés Jorge 
Published: October 2022

Abstract
Aims
The surface crust formed by the drop impact of rainfall and/or irrigation is a prevalent characteristic in many Mediterranean soils. However, the temporal variation of soil hydraulic properties induced by surface crust during the high-frequency irrigation has rarely been investigated.

Methods
Beerkan infiltration tests in conjunction with the BEST method were used to investigate the effects of surface crusting on the spatio-temporal variation of saturated soil hydraulic conductivity (Ks, mm s−1), sorptivity (S, mm s−0.5), mean pore size (r, mm), number of effective pores per unit area (N, m−2) in Agramunt, NE Spain.

Results
In response to autumn tillage, intensive tillage (IT) increased Ks and S due to higher r and N, but both declined after 60 days. Reduced tillage (RT), maintained comparable Ks and S values, despite having a lower N value. After the spring tillage, both IT and RT developed crusted layers, resulting in decreased Ks, S and N. Long-term no-tillage (NT) showed an increasing trend of Ks and S over time, except for the last sampling. Spatial variation (i.e., between the rows, B-row vs. within the row of crops, W-row) of Ks and S was found, and non-crusted soils (W-row) had consistently higher Ks and S than crusted soils (B-row).

Conclusions
Conservation tillage i.e., RT and NT improve the surface soil structure and reduce the risk of crust development. Surface cover by crops may help to prevent crust formation within the row of crops, improving soil hydraulic conductivity.
Remediation of soils on municipal rendering plant territories using Miscanthus × giganteus
Authors: Grzegórska Anna , Czaplicka Natalia , Antonkiewicz Jacek , Rybarczyk Piotr , Baran Agnieszka , Dobrzyński Krzysztof , Zabrocki Dawid , Rogala Andrzej 
Published: October 2022

Abstract
Phytoremediation, as a cost-effective, highly efficient, environmentally friendly, and green approach, gained attention to the removal of metals, including heavy metals, from contaminated soils. The toxic nature of heavy metals can have an adverse effect on human health and the ecosystem, and their removal remains a worldwide problem. Therefore, in this study, a field experiment was carried out to evaluate the potential of Miscanthus × giganteus for the removal of ten microelements and heavy metals (Al, Zn, Fe, Pb, Cd, Co, Cr, Cu, Mn, Ni) from contaminated soil in the territory of a Municipal Waste Rendering Plant. Moreover, the effect of the incorporation of soil improver obtained upon composting biodegradable waste as well as the addition of highly contaminated post-industrial soil on the efficiency of phytoremediation and plant growth was described. The soil improver (SK-8) was applied to the soil at a rate of 200 Mg ha−1 and 400 Mg‧ha−1. Meanwhile, in the last object, 100 Mg‧ha−1 of highly contaminated post-industrial soil was added. Herein, the research was aimed at assessing the possibility of phytoextraction of heavy metals from soils with different physicochemical properties. The results showed that plants cultivated in soil with 400 Mg‧ha−1 of soil improver exhibited the highest yield (approximately 85% mass increase compared to the soil without additives). Furthermore, the application of a single dose of SK-8 (200 Mg ha−1) increased the uptake of Al, Fe, Co, Pb, Mn, Ni, and Cd by Miscanthus × giganteus compared to the soil without additives. Additionally, the performed biotests demonstrated no or low toxicity of the investigated soils affecting the test organisms. However, in all experiments, the phytorecovery of the elements did not exceed 1% of the amount introduced to the soil, which may result from a short cultivation period and large doses of SK-8 or highly contaminated post-industrial soil.
Collective gradient perception with a flying robot swarm
Authors: Karagüzel Tugay Alperen , Turgut Ali Emre , Eiben A. E. , Ferrante Eliseo 
Published: October 2022

AbstractIn this paper, we study the problem of collective and emergent sensing with a flying robot swarm in which social interactions among individuals lead to following the gradient of a scalar field in the environment without the need of any gradient sensing capability. We proposed two methods—desired distance modulation and speed modulation—with and without alignment control. In the former, individuals modulate their desired distance to their neighbors and in the latter, they modulate their speed depending on the social interactions with their neighbors and measurements from the environment. Methods are systematically tested using two metrics with different scalar field models, swarm sizes and swarm densities. Experiments are conducted using: (1) a kinematic simulator, (2) a physics-based simulator, and (3) real nano-drone swarm. Results show that using the proposed methods, a swarm—composed of individuals lacking gradient sensing ability—is able to follow the gradient in a scalar field successfully. Results show that when individuals modulate their desired distances, alignment control is not needed but it still increases the performance. However, when individuals modulate their speed, alignment control is needed for collective motion. Real nano-drone experiments reveal that the proposed methods are applicable in real-life scenarios.
Observation on the therapeutic efficacy of Tuina plus “three-bridge” exercise for non-specific low back pain
Authors: Li Jinhu 
Published: October 2022

Abstract
Objective
To investigate the efficacy of Tuina (Chinese therapeutic massage) plus “three-bridge” exercise for non-specific low back pain (NSLBP).

Methods
A total of 80 patients with NSLBP were randomly divided into a control group and an observation group according to the random number table method, with 40 cases in each group. The two groups received Tuina treatment, and the observation group received an additional “three-bridge” exercise. The treatment lasted 4 weeks, and a follow-up evaluation was carried out 6 months after treatment. The visual analog scale (VAS), Oswestry disability index (ODI), and the Japanese Orthopaedic Association (JOA) scores for low back pain were used to evaluate patients’ conditions before treatment, after 4-week treatment, and at the 6-month follow-up.

Results
The total effective rate was 92.5% and 85.0% in the observation group, respectively, after 4-week treatment and at the 6-month follow-up, significantly different from the control group (P<0.05). After 4-week treatment and at the 6-month follow-up, the VAS, ODI, and JOA scores of the two groups were improved compared with those before treatment (P<0.05), and all the indicators in the observation group were significantly better than those in the control group (P<0.05). At the 6-month follow-up, the VAS, ODI, and JOA scores in the two groups were improved compared with those before treatment (P<0.05).

Conclusion
Tuina plus “three-bridge” exercise can effectively alleviate pain, improve function, and have relatively sound long-term effects in treating patients with NSLBP.
Joint Interaction and Mutual Understanding in Social Robotics
Authors: Schleidgen Sebastian , Friedrich Orsolya 
Published: October 2022

AbstractSocial robotics aims at designing robots capable of joint interaction with humans. On a conceptual level, sufficient mutual understanding is usually said to be a necessary condition for joint interaction. Against this background, the following questions remain open: in which sense is it legitimate to speak of human–robot joint interaction? What exactly does it mean to speak of humans and robots sufficiently understanding each other to account for human–robot joint interaction? Is such joint interaction effectively possible by reference, e.g., to the mere ascription or simulation of understanding? To answer these questions, we first discuss technical approaches which aim at the implementation of certain aspects of human–human communication and interaction in social robots in order to make robots accessible and understandable to humans and, hence, human–robot joint interaction possible. Second, we examine the human tendency to anthropomorphize in this context, with a view to human understanding of and joint interaction with social robots. Third, we analyze the most prominent concepts of mutual understanding and their implications for human–robot joint interaction. We conclude that it is—at least for the time being—not legitimate to speak of human–robot joint interaction, which has relevant implications both morally and ethically.
A moderated-mediation analysis of abusive supervision, fear of negative evaluation and psychological distress among Egyptian hotel employees
Authors: Selem Kareem M. , Boğan Erhan , Shehata Ali Elsayed , Mohamed Hanan Ahmed 
Published: October 2022

AbstractBy integrating cognitive appraisal and social exchange theories, this paper examines the linkage of supervisors’ abusive reactions with psychological distress through their subordinates’ fear of negative evaluation. This paper also investigates the moderating role of negative reciprocity. Data were gathered from 412 employees at 15 five-star hotels in Egypt and analyzed using PROCESS 4.0 macro in SPSS (Model 5). The findings revealed that abusive supervision was strongly positively connected with psychological distress caused by FNE. Furthermore, negative reciprocity may reduce the abusive supervision-psychological distress relationship. The positive effect of abusive supervision on psychological distress was weaker among hotel employees who held high levels of negative reciprocity. The PROCESS and narratological results highlight the need of taking negative reciprocity into account while investigating undesirable workplace behavior (i.e., abusive acts of supervisors) in the hospitality context by providing fruitful theoretical and practical contributions.
Development of antibacterial carboxymethyl cellulose/quaternized starch bionanocomposites based on cinnamon essential oil nanoemulsion for wound healing applications
Authors: Moustafa Hesham , Nasr Hanaa E. , Youssef Ahmed M. 
Published: October 2022

AbstractInfectious diseases of skin wound–based bacteria are a considerable issue that often hinders the wound closure, thereby delaying the healing process. The use of wound dressing based-renewable polymers with natural essential oil could overcome the deficiencies of skin wounds. In this work, wound dressings from carboxymethyl cellulose (CMC)/quaternized starch (MS-Q188) in presence antimicrobial cinnamon essential oil (CIEO) nanoemulsion were prepared. Three variable ratios of CIEO (i.e., 1, 3, and 5 wt.%) in nanoemulsion forms were used to fabricate CMC/MS-Q188 bionanocomposites. The resulting bionanocomposites were investigated by XRD, FT-IR, and SEM. The mechanical, hydrophilicity, and barrier properties were evaluated, the outcomes of which demonstrated the tensile properties were achieved. However, the hydrophilicity, water vapor, and oxygen barrier properties were affected when the CIEO nanoemulsion added to the matrix. The migration of polymer components to the skin tissue and cytotoxic effect were investigated by cytotoxicity assays. The outcomes showed that the cell viability was located in the range of ~ 92–100% even at all studied concentrations, indicating there was no cytotoxicity to the cells. The inhibitory effects of CIEO nanoemulsion ratios on different pathogenic microbes were also verified. The developed bionanocomposites open opportunities for their use in smart skin wound dressings and biomedical applications.