bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and predictive factors of nocturia in patients with obstructive sleep apnea syndrome: A retrospective cross-sectional study
Authors: Chung Yeon Hak , Kim Jae Rim , Choi Su Jung , Joo Eun Yeon 
Published: April 2022

Objectives
Many patients with obstructive sleep apnea syndrome (OSAS) have nocturia. However, the predictive index of nocturia in patients with OSAS is currently not well known. We aimed to investigate the prevalence of nocturia in patients with OSAS and determine the factors that could predict nocturia in these patients.

Methods
In this retrospective cross-sectional study, we enrolled 1,264 untreated patients with OSAS (Apnea-Hypopnea Index, AHI ≥5/h on polysomnography [PSG]) from January 2017 to January 2020. Participants completed the Beck Depression Inventory-II (BDI-II), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale. Participants were divided by sex and then subdivided into nocturia and non-nocturia groups according to the following question, “Do you go to the bathroom two times or more during your sleep?” Participants’ characteristics and underlying disease were investigated, and all information, including PSG data, was compared between the two groups using the t-test or chi-square test.

Results
Overall, 35.2% (337/958) of male participants with OSAS and 59.8% (183/306) of female participants with OSAS had nocturia. The nocturia group was older; scored higher on the BDI-II, PSQI, and ISI; and had more underlying disease in both sexes. There was no difference in the AHI between the two groups among both sexes, but the hypoxia-related PSG parameters and sleep quality parameters, such as higher 90% oxygen desaturation index (90% ODI), lesser N3 sleep, and higher wakefulness after sleep onset, were worse among male participants with OSAS in the nocturia group than in the non-nocturia group. In multivariate logistic analysis, 90% ODI was an independent risk factor associated with nocturia in male participants with OSAS.

Conclusions
Considerable number of patients with OSAS had nocturia and poor sleep quality. Nocturia should be evaluated in male OSAS patients with severe hypoxia observed during sleep.
A personalized and dynamic risk estimation model: The new paradigm in Barrett’s esophagus surveillance
Authors: Roumans Carlijn A. M. , Spaander Manon C. W. , Lansdorp-Vogelaar Iris , Biermann Katharina , Bruno Marco J. , Steyerberg Ewout W. , Rizopoulos Dimitris ,   on behalf of the ProBar study group
Published: April 2022

Objectives
The current surveillance strategy in Barrett’s esophagus (BE) uses only histological findings of the last endoscopy to assess neoplastic progression risk. As predictor values vary across endoscopies, single measurements may not be an accurate reflection. Our aim was to explore the value of using longitudinal evolutions (i.e. successive measurements) of histological findings (low-grade dysplasia (LGD)) and immunohistochemical biomarkers (p53 and SOX2) by investigating the association with Barrett’s progression.

Methods
In this proof-of-principle study of a longitudinal dynamic risk estimation model with a multicenter cohort design, 631 BE patients from 15 Dutch hospitals who were under surveillance were included. Longitudinal dynamic values of LGD, p53, and SOX2 were included in a multivariate joint model to estimate the risk of high-grade dysplasia (HGD)/esophageal adenocarcinoma (EAC).

Results
Longitudinal evolutions of aberrant expression of p53 (HR 1.26, p<0.01) and SOX2 (HR 1.43, p<0.01) were associated with an increased HGD/EAC risk. We also found weak evidence of an association with the longitudinal evolution of the presence of LGD (HR 1.02, p = 0.12). The performance of the model was good (AUC 0.80–0.88). Using this model, for each future BE patient the probability of aberrant expression of biomarkers based on multiple longitudinal observations can be estimated. This probability is translated in progression risk, expressed as HR.

Conclusions
This study provides solid ground to further explore a paradigm shift from currently recommended fixed intervals towards personalized surveillance, in which tailored risk estimations and corresponding surveillance intervals can be updated at every FU endoscopy for individual BE patients.
Detection of blaKPC and blaNDM carbapenemase genes among Klebsiella pneumoniae isolates in Addis Ababa, Ethiopia: Dominance of blaNDM
Authors: Awoke Tewachew , Teka Brhanu , Aseffa Abraham , Sebre Shemse , Seman Aminu , Yeshitela Biruk , Abebe Tamrat , Mihret Adane 
Published: April 2022

Background
Infections caused by Klebsiella pneumoniae have been difficult to control because of the worldwide emergence of carbapenem-resistant isolates mainly due to carbapenemase production. Information regarding carbapenemase-producing K. pneumoniae is still scarce in Ethiopia. Therefore, the current study aimed to determine the prevalence of carbapenemase-producing K. pneumoniae and to assess the occurrence of blaNDM and blaKPC carbapenemase genes.

Methods
A cross-sectional study was conducted from September 2018 to February 2019 at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. A total of 132 non-duplicate K. pneumoniae isolates were studied. Phenotypic confirmation of carbapenemase production was done by modified Carbapenem Inactivation Method (mCIM). Multiplex PCR was performed for the detection of carbapenemase-encoding genes blaKPC, and blaNDM.

Results
Out of the total 132 K. pneumoniae isolates, 39 (29.6%) were non-susceptible to one or more carbapenems. The prevalence of carbapenemase-producing isolates from the total was 28 (21.2%) with mCIM of which the most dominant gene was blaNDM 26 (92.9%) and one isolate carried blaKPC concomitantly. Carbapenemase-producing K. pneumoniae isolates were 100% non-susceptible to half of the antimicrobials used in the study, including meropenem and ertapenem. Previous use of carbapenems was associated with carbapenemase production (P = 0.004).

Conclusions
The prevalence of carbapenemase-producing K. pneumoniae isolates was worrying in the study area. To our knowledge, the study described the emergence of blaNDM and blaKPC gene carrying K. pneumoniae in Ethiopia for the first time. Further large-scale molecular-based studies, including other carbapenemase genes and sequencing of K. pneumoniae, are warranted to have a clear awareness about the presence of antimicrobial resistance high-risk clones in Ethiopia.
Building business strategies through entrepreneurship competence and product innovation to improve performance
Authors: Hariyanti Hariyanti , Nuryati Nuryati 
Published: April 2022

The purpose of the study was to determine and empirically test the relationship between entrepreneurial competence and product innovation on performance through business strategies for PKK women, Banjarsari District, Surakarta City, Central Java, Indonesia. The sample consists of 100 PKK women who have a business or side business of batik patchwork, taken using a purposive random sampling technique. The data were analyzed concerning the Validity and Reliability test, Linearity, t-test, F-test, Coefﬁcient of Determination, Path analysis and Correlation. The results of the test partially that product innovation and entrepreneurial competence and business strategy have a positive and signiﬁcant effect on performance. Entrepreneurial competence and product innovation have a positive and signiﬁcant effect on business strategy partly. The variables of entrepreneurial competence, product innovation and business strategy were able to contribute to improving performance by 78.22%, and the rest is explained by other variables such as entrepreneurial orientations, environment, competitive advantage and others. From the path analysis, it was found that business strategy could better mediate the effect of entrepreneurial competence and product innovation on performance. To improve performance through business strategies it is more effective if by increasing product innovation, after that entrepreneurial competence.
Health Literacy-Related Knowledge and Experience among Nurses Practicing in Medical-Surgical Wards
Authors: Al-Fayyadh Sadeq , Al-Jubouri Mohammed Baqer , AL-Hadrawi Hayder , Jaafar Sabah Abdullah , Hussein Shaymaa Mohammed 
Published: April 2022

Background: Medical-surgical nurses are responsible of providing competent care to clients with a wide-array of acute and chronic health problems. This challenging task requires arming nurses with advanced competencies of health literacy to effectively educate their clients. However, evidence about medical-surgical nurse’s health literacy-related knowledge and experience is limited. Purposes: This study aimed to determine the level of the health literacy-related knowledge and experience among medical-surgical nurses.Design: A descriptive-cross-sectional study was conducted among a total sample of 177 nurses who were practicing in medical-surgical wards in teaching hospitals in Iraq. A convenience sampling method was used to select the participants. Data were collected using the Health Literacy Knowledge and Experiences Survey-2 (HLKES-2). Descriptive statistics and Chi-square test were used for data analysis.Results: The majority of nurses (92.3%) had a low level of knowledge regarding health literacy and more than half of the participants (58.7%) had an acceptable level of experience.Conclusion: Nurses’ information about health literacy needs to be updated via continuous education to enhance their knowledge and practice regarding this aspect.
Analysis of Peruvian seaweed exports during the period 1995–2020 using trade data
Authors: Avila-Peltroche José , Villena-Sarmiento Gunter 
Published: April 2022

Abstract
Peru is the second largest seaweed producer in the Americas. Nevertheless, the actual extent and trends of exports of various seaweeds are not known. This study is the first to summarize and analyze the official seaweed export statistics for Peru, which cover 1995–2020. Total exports showed a considerable increase from 2008, reaching their highest historical volume in 2019 (33,948 metric tons dry weight plus 3 metric tons of fresh/frozen weight). China dominated the market by importing 90% of the total Peruvian production of seaweeds. A low percentage of the exports (3%) corresponded to red seaweeds (mainly Chondracanthus chamissoi for industrial use). Export volumes of C. chamissoi have been decreasing since 2015, however prices have continued to increase. Brown seaweeds accounted for 97% of the exports. These were dominated by Lessonia berteroana until 2007 and then by Macrocystis pyrifera. The latter showed the highest overall growth rate (47%). Wet biomass estimations showed a gap between the data reflecting what is officially harvested versus what is actually exported. This “unreported biomass” might reflect the government’s lack of control of seaweed harvesting. Finally, the COVID-19 pandemic showed a negative impact on exports with M. pyrifera being the most affected species.
Artificial intelligence at the time of COVID-19: who does the lion’s share?
Authors: Negrini Davide , Danese Elisa , Henry Brandon M. , Lippi Giuseppe , Montagnana Martina 
Published: April 2022

Abstract

Objectives
The development and use of artificial intelligence (AI) methodologies, especially machine learning (ML) and deep learning (DL), have been considerably fostered during the ongoing coronavirus disease 2019 (COVID-19) pandemic. Several models and algorithms have been developed and applied for both identifying COVID-19 cases and for assessing and predicting the risk of developing unfavourable outcomes. Our aim was to summarize how AI is being currently applied to COVID-19.

Methods
We conducted a PubMed search using as query MeSH major terms “Artificial Intelligence” AND “COVID-19”, searching for articles published until December 31, 2021, which explored the possible role of AI in COVID-19. The dataset origin (internal dataset or public datasets available online) and data used for training and testing the proposed ML/DL model(s) were retrieved.

Results
Our analysis finally identified 292 articles in PubMed. These studies displayed large heterogeneity in terms of imaging test, laboratory parameters and clinical-demographic data included. Most models were based on imaging data, in particular CT scans or chest X-rays images. C-Reactive protein, leukocyte count, creatinine, lactate dehydrogenase, lymphocytes and platelets counts were found to be the laboratory biomarkers most frequently included in COVID-19 related AI models.

Conclusions
The lion’s share of AI applied to COVID-19 seems to be played by diagnostic imaging. However, AI in laboratory medicine is also gaining momentum, especially with digital tools characterized by low cost and widespread applicability.
The role of identification and self-referencing in narrative persuasion
Authors: de Graaf Anneke 
Published: April 2022

Abstract
Previous studies have shown that identification and self-referencing can both function as mechanisms of narrative persuasion. However, it is not yet clear whether they are compatible and can work together in bringing about persuasive effects of narratives, or not. Therefore, this study examines both identification and self-referencing and studies their relation and effects. A 2x2 between-subjects experiment was conducted among 185 student participants, with the factors ‘perspective’ (1st vs. 3rd person) to influence identification and ‘similarity’ (young student protagonist vs. older working protagonist) to influence self-referencing. Results showed that identification mediated indirect effects of perspective on story-consistent belief and self-referencing mediated indirect effects of similarity on story-consistent belief. Moreover, identification and self-referencing serially mediated indirect effects on story-consistent belief. These results indicate that identification and self-referencing are compatible processes which can work together as mechanisms of narrative persuasion.
Which magnetic fields support a zero mode?
Authors: Frank Rupert L. , Loss Michael 
Published: April 2022

Abstract
This paper presents some results concerning the size of magnetic fields that support zero modes for the three-dimensional Dirac equation and related problems for spinor equations. It is a well-known fact that for the Schrödinger equation in three dimensions to have a negative energy bound state, the

3
/
2

{3/2}

norm of the potential has to be greater than the Sobolev constant. We prove an analogous result for the existence of zero modes, namely that the

3
/
2

{3/2}

norm of the magnetic field has to greater than twice the Sobolev constant. The novel point here is that the spinorial nature of the wave function is crucial. It leads to an improved diamagnetic inequality from which the bound is derived. While the results are probably not sharp, other equations are analyzed where the results are indeed optimal.
Image analysis-based quantification of the visual attributes of fish, with emphasis on color and visual texture
Authors: Gümüş Bahar , Gümüş Erkan , Odabaṣı-Kırlı Aslı , Balaban Murat O. 
Published: April 2022

Abstract
Images of Red Sea goatfish Parupeneus forsskali were taken in a light box to perform color and visual texture analyses. The average L* and b* values did not change significantly during storage of 7 days, but the a* values decreased (P < 0.05). The change of visual texture parameters energy and entropy (calculated based on histograms, and based on co-occurrence matrices [COM]), box counting-based fractal results, and texture change index (TCI) values are presented. The appearance of fish became “smoother” over time. The entropy values calculated by histograms decreased with storage (P < 0.05), and the maximum range was 0.395. That for COM-based entropies was 71.96. TCI also decreased with storage (P < 0.05) with a maximum range of 10.67. However, energy values increased during storage. The maximum range of the energy values calculated by histograms over time for any color channel was 0.0036. That for COM-based energies was 5.7. There was no observable change in fractal dimension. These image analysis-based parameters were compared with sensory analysis. A trained sensory panel evaluated the visual texture of a sub-set of images. The R2 values for equation fit between sensory score and texture features were, in increasing order: COM based energy (0.185), COM-based entropy (0.313), histogram-based energy (0.375), histogram-based entropy (0.386), TCI values (0.575). Since TCI correlated better with sensory values, it is recommended to be used in this type of visual texture evaluation.
Elastic trend filtering
Authors: Jeong Juyoung , Jung Yoon Mo , Yun Sangwoon 
Published: April 2022

AbstractTrend filtering aims to estimate underlying trends in time series data, which is necessary to investigate data in a variety of disciplines. We propose a new method calledelastic trend filtering. The proposed method combinesℓ2andℓ1norm penalties to exploit the benefits and strengths of Hodrick–Prescott andℓ1trend filterings. We apply the alternating direction method of multipliers for its efficient computation and numerical experiments show the soundness and efficiency of the proposed method. We further apply the proposed method to graph cases for potential applications and suggest a trend filtering for its variance estimate.
Improving the capacity of local food network through local food hubs’ development
Authors: Perdana Tomy , Chaerani Diah , Hermiatin Fernianda Rahayu , Achmad Audi Luqmanul Hakim , Fridayana Ananda 
Published: April 2022

Abstract
The COVID-19 pandemic and humanitarian challenges such as war and conflict, climate changes, and economic crises bring unexpected humanitarian challenges, such as food insecurity. Especially for developing countries, this is a double crisis, food poverty and COVID-19 pandemic. This situation needs an alternative food network (AFN), which can improve the local food sources to fulfill the food demand. The local food hubs’ (LFHs) development as an AFN that considers local producers and customers could serve as an alternative strategy to reduce the uncertainty of food availability. However, the challenge in developing LFH in developing countries is the problem of logistics efficiency. Therefore, this study discusses the development of food logistics efficiency by determining the optimum location of LFH and the fulfillment of food supply for each optimum location of LFH in rural areas. Robust optimization is applied to the Multi-Objective Many-to-Many Location-Routing Problem (MOMMLRP) model to handle the uncertain demand and production capacity. This study focused on West Java Province, Indonesia, as areas that represent developing countries. Based on our result, eight sub-districts have been determined as an optimum location to develop LFHs. This study also elaborates on the food network in the worst situation that needs regional food hubs’ (RFHs) support. The RFH support can be used when the LFH faces an unexpected problem that cannot fulfill their demand.
Spectroscopic investigation of the different complexation and extraction properties of diastereomeric diglycolamide ligands
Authors: Weßling Patrik , Trumm Michael , Sittel Thomas , Geist Andreas , Panak Petra J. 
Published: April 2022

Abstract
(2R,2′S)-2,2′-oxybis-(N,N-didecylpropanamide) (cis-mTDDGA) and (2R,2′R)-2,2′-oxybis-(N,N-didecylpropanamide) (trans-mTDDGA) were studied using time-resolved laser fluorescence spectroscopy (TRLFS), vibronic side-band spectroscopy (VSBS) and density functional theory calculations (DFT) to find reasons for their different extraction properties. Stability constants of the respective Cm(III) and Eu(III) complexes show cis-mTDDGA to be the superior ligand which is in agreement with results from extraction experiments. cis-mTDDGA extracts Cm(III) and Eu(III) as 1:3 complexes. In case of trans-mTDDGA, 1:2 complexes of the form [M(trans-mTDDGA)2(η1-NO3)(H2O)2]2+ (M = Cm, Eu) are extracted additionally to the 1:3 complexes. VSBS and DFT confirm the presence of inner-sphere nitrate in the 1:2 complex.
The “intentional function” in still and moving photographic images
Authors: Betancourt Michael 
Published: April 2022

Abstract
What is the role of intention in the identification of encoding that arises for images and other non-lexical objects of semiosis? This proposal of the “intentional function” resolves the syntagmatic problems posed by visual imagery: it identifies the viewer’s treatment of what they encounter as
if it is encoded based on formal non-signifying cues visible in the image and learned through past experience. This decision about the organization and structure of the work becomes apparent from the consideration of a photographic “selfie” made by a monkey in the rainforest.
Studying values about childhood using networked photography on Instagram
Authors: Benevento Ayşenur 
Published: April 2022

Abstract
This study examines adults’ postings of photos of children on social media and offers a unique methodological approach to studying visual data. A major innovation of this study is first, to enact the concept and method of narrative inquiry to the digital photographs. Having applied this method, the study also offers findings about the diverse values that emerge across two specific digital parenting cultures organized via Instagram hashtags of #fashionkids and #letthekids. Values analysis of 500 photographs (250 photos from each hashtag culture) indicated that these hashtags constitute cultures defined by distinct values of ideal childhoods. While #fashionkids photos emphasized children’s attendance to the photo making activity with stress to their possessions, #letthekids photos expressed mixed values of freedom and domestic happenings with a strong emphasis on unawareness of the photographing and togetherness. While the qualities of childhood images collected in the same period hint at meaningful patterns, the way those qualities interact with each other in distinct cultures suggest that there is not one ideal image that could represent childhood in the best possible way and the photographers’ values very much influence the visual sense-making of what’s being portrayed in children’s photographs.
Photopolymer composite magnetic actuators for cell-based biosensors
Authors: Özsoylu Dua , Karatellik Beyza , Schöning Michael J. , Wagner Torsten 
Published: April 2022

Abstract
Nowadays, biosensors play a significant role in numerous areas and become part of our daily life. Here, electrochemical cell-based biosensors either use cells as a biorecognition element or they can monitor physiologically relevant information of cells. One of the greatest challenges for commercialization of cell-based biosensors comes from their main component, the cells, which are complex “living” systems and very vulnerable to environmental changes. Recently, to address this issue, a novel method, the cryopreservation of cell monolayers in a ready-to-use set-up, has been introduced. To further improve this method, herein we develop photopolymer-based magnetic composites (cell carriers) by photolithographically patterning different photopolymer resins (flexible resin and SU-8 photoresist) mixed with superparamagnetic iron oxide (Fe3O4) nanoparticles. These magnetic composites were designed for cryopreservation of cells grown on them in a ready-to-use concept: it allows the on-demand transfer of the actuators to the culture environment with integrated cell-based biosensor and positioning them close to the sensor surface or taking them away for the next cell population on another actuator by an external magnetic field. The key performance characteristics of the developed magnetic composites such as being able to control their location, mobility and orientation have been demonstrated in cell culture medium.