bluuebunny/crossref_metadata_2025 huggingface dataset:
Coordination in Multibrand, Multimedia Advertising: Is It Always a Good Thing?
Authors: Zhu Wangsheng , Kumar Subodha , Mookerjee Vijay
Published: August 2023

The growing online retail market has led to the prevalence of multichannel retailing. Meanwhile, retailers are increasingly combining multichannel retailing with a multibranding strategy. Although this can further increase the retailer’s sales, it brings new advertising challenges. Multibrand, multichannel retailers usually launch advertising campaigns for different brands on multiple media. Thus, their advertising efforts fall into a set of brand-media units. Each unit’s advertising can affect the sales of all brands on all channels. To maximize the advertising returns, a retailer needs to coordinate the advertising expenditures on different units. We develop a stochastic differential equation model that helps the retailer estimate the impact of multimedia advertising on the sales of different brands on different channels. Afterward, we formulate the advertising optimization problems under four coordination strategies: noncoordination, brand coordination, media coordination, and global coordination. By solving the problem for each strategy, the retailers can obtain the optimal expenditure for each unit under that strategy. Finally, we compare the retailer’s profits under four strategies. Interestingly, we find that brand or media coordination may result in a profit lower than noncoordination. Our findings provide insights regarding the selection of coordination strategies for multibrand, multichannel retailers with multimedia advertising campaigns.
Analysing emotional discourse among allies and opponents in the news media
Authors: Fullerton Allegra H. , Gabehart Kayla M. , Yordy Jill , Weible Christopher M.
Published: August 2023

The sociology of emotions reveals how emotion contributes to and helps inform social and political issues. This study contributes to the literature by examining how competing advocacy coalitions ascribe emotions to their allies and opponents in the politically contentious issue of siting a gas pipeline project in the US. It analyses the emotional and belief expressions of people engaged in the debate in approximately 370 newspaper articles. Using the Advocacy Coalition Framework as a theoretical guide, people’s position on the pipeline and assignment to one of two advocacy coalitions coincides with similar emotional expressions. Moreover, allies tend to attribute more positive than negative emotions to other allies and more negative than positive emotions to opponents. This study concludes with a research agenda for furthering the empirical study of emotions in political and social life to understand the use of emotions in contentious politics.
Language play is language variation: quantitative evidence and what it implies about language change
Authors: Brook Marisa , Blamire Emily
Published: August 2023

This article argues that language play is intimately related to linguistic variation and change.
Using two corpora of online present-day English, we investigate playful conversion of adjectives
into abstract nouns (e.g. made of awesome∅), uncovering consistent rule-governed patterning in
the grammatical constraints in spite of this option stemming from deliberate subversion of standard
overt suffixation. Building on Haspelmath’s (1999) notion of ‘extravagance’ as one of the keys to
language change, we account for the systematic patterning of deliberate linguistic subversion by
appealing to tension between the need to stand out and the need to remain intelligible. While we do
not claim that language play is the only cause of linguistic change, our findings position language
play as a constant source of new linguistic variants in very large numbers, a small proportion of
which endure as changes. Our conclusion is that language play goes a long way toward accounting
for linguistic innovations—with respect to where they come from and why languages change at all.
Using machine learning to improve multi-qubit state discrimination of trapped ions from uncertain EMCCD measurements
Authors: Jeong Junho , Jung Changhyun , Kim Taehyun , Cho Dongil “Dan”
Published: August 2023

This paper proposes a residual network (ResNet)-based convolutional neural network (CNN) model to improve multi-qubit state measurements using an electron-multiplying charge-coupled device (EMCCD). The CNN model is developed to simultaneously use the intensity of pixel values and the shape of ion images in determining the quantum states of ions. In contrast, conventional methods use only the intensity values. In our experiments, the proposed model achieved a 99.53±0.14% mean individual measurement fidelity (MIMF) of 4 trapped ions, reducing the error by 46% when compared to the MIMF of maximum likelihood estimation method of 99.13±0.08%. In addition, it is experimentally shown that the model is also robust against the ion image drift, which was tested by intentionally shifting the ion images.
Dense D2C-Net: dense connection network for display-to-camera communications
Authors: Maharjan Nilesh , Tamang Lakpa Dorje , Kim Byung Wook
Published: August 2023

In this paper, we introduce a novel Dense D2C-Net, an unobtrusive display-to-camera (D2C) communication scheme that embeds and extracts additional data via visual content through a deep convolutional neural network (DCNN). The encoding process of Dense D2C-Net establishes connections among all layers of the cover image, and fosters feature reuse to maintain the visual quality of the image. The Y channel is employed to embed binary data owing to its resilience against distortion from image compression and its lower sensitivity to color transformations. The encoder structure integrates hybrid layers that combine feature maps from the cover image and input binary data to efficiently hide the embedded data, while the addition of multiple noise layers effectively mitigates distortions caused by the optical wireless channel on the transmitted data. At the decoder, a series of 2D convolutional layers is used for extracting output binary data from the captured image. We conducted experiments in a real-world setting using a smartphone camera and a digital display, demonstrating superior performance from the proposed scheme compared to conventional DCNN-based D2C schemes across varying parameters such as transmission distance, capture angle, display brightness, and camera resolution.
Multiresonant plasmon excitation in slit antennas on metallic and hyperbolic metamaterials
Authors: Armelles Gaspar , Domínguez-Vázquez José María , Conca Andres , Alvaro Raquel , Cebollada Alfonso , Martín-González Marisol
Published: August 2023

A comparative study of the optical properties of random and ordered arrays of metallic and hyperbolic slit antennas is presented. The metallic slits are fabricated on Au layers, whereas the hyperbolic ones are fabricated on Au/MgO multilayers. The random arrays show, for both types of antennas, similar slit plasmon resonances whose positions depend on the internal structure of the supporting layer. On the other hand, the spectra of the ordered arrays of the hyperbolic slits present additional resonances related to the excitation of Bloch plasmon polaritons in the hyperbolic layer. By varying the slit length and periodicity, an analysis of the interaction between slit localized resonance and Bloch plasmon polaritons is also presented.
Design optimization and implementation of a Fourier transform spectrometer with rotating motion for 0.1 cm-1 resolution spectroscopy
Authors: Kim Jungyoon , Lee Seunghoo , Lee Woojeong , Lee Joohyung
Published: August 2023

In this paper, we present the design optimization and implementation of a high-resolution near-infrared Fourier transform spectrometer (FTS) based on a rotating motion. The FTS system incorporates a rotating mirror-pair for scanning the optical path length (OPL). The design optimization process is performed to maximize the scanning range to obtain a resolution of 0.1 cm-1 while taking into account constraints on the volume of the system and the availability of commercial optics. By using a pattern search algorithm, we optimized the geometrical parameters of the rotating part, and found the best solution to satisfy the constraints. A data processing method is implemented to correct the nonlinear OPL scanning using a He-Ne laser. The performance of the implemented FTS is verified through spectral analysis within the spectral range of 1550 ± 25 nm. This spectral band corresponds to the wavelength range of the amplified spontaneous emission (ASE) obtained from an Er-doped fiber amplifier used in this study. Additionally, gas spectroscopy conducted using the FTS system successfully detects and analyzes the distinct absorption lines of hydrogen cyanide in 16.5 cm gas cell. The detection sensitivity of a single measurement is evaluated based on the noise equivalent absorption coefficient of 1.45 × 10−5 cm-1 Hz-1/2 calculated from 5-sec measurement time, 2000 spectral elements, and 208 signal-to-noise ratio with 0.2 scan/sec.
High power optical frequency comb with 10−19 frequency instability
Authors: Shao Xiaodong , Han Hainian , Wang Huibo , Ma Junyi , Hu Yue , Li Chengzhi , Teng Hao , Chang Guoqing , Wang Bingbing , Wei Zhiyi
Published: August 2023

Optical frequency combs with more than 10 W have paved the way for extreme ultraviolet combs generation by interaction with inert gases, leading to extreme nonlinear spectroscopy and the ultraviolet nuclear clock. Recently, the demand for an ultra-long-distance time and frequency space transfer via optical dual-comb proposes a new challenge for high power frequency comb in respect of power scaling and optical frequency stability. Here we present a frequency comb based on fiber chirped pulse amplification (CPA), which can offer more than 20 W output power. We further characterize the amplifier branch noise contribution by comparing two methods of locking to an optical reference and measure the out-of-loop frequency instability by heterodyning two identical high-power combs. Thanks to the low noise CPA, reasonable locking method, and optical path-controlled amplifiers, the out-of-loop beat note between two combs demonstrates the unprecedented frequency stability of 4.35 × 10−17 at 1s and 6.54 × 10−19 at 1000 s.
Real-time free spectral range measurement based on a correlated resonance-tracking technology
Authors: Feng Changkun , Wang Xiao , Miao Bin , Gu Zhiqi , Li Jiadong
Published: August 2023

In this paper, we present a real-time measurement technology for the free spectral range (FSR) of an ultrahigh-aspect-ratio silicon nitride (Si3N4) waveguide ring resonator (WRR). Two different correlated resonant modes were tracked by two optical single-sideband frequency-shifted lights to eliminate interference noise in the Pound–Drever–Hall error signals. A relative precision of 0.1474 ppm was achieved for a 35 mm WRR with FSR = 1,844,944.5 kHz and finesse (F) = 13.2. Furthermore, a cross-correlation of 0.913 between FSR-calculated and thermistor-measured temperatures indicated a high correlation between the real-time FSR and room temperature. We believe this technology is currently the best way to realize low-finesse (F < 50) real-time FSR measurements in the GHz range.
Machine-learning iterative optimization for all polarization-maintaining linear cavity Er:fiber laser
Authors: Zhao Minghe , Liu Xuanyi , Fu H. Y. , Li Qian
Published: August 2023

All polarization-maintaining (PM) linear cavity mode-locked fiber
lasers are promising ultrafast laser sources due to their compactness
and environmental robustness. Here, we demonstrate a linear cavity
fiber laser with all-PM configuration experimentally and investigate
the mode-locking formation of the laser using a machine-learning
iterative optimization method based on the Gaussian process. The
optimization algorithm can converge rapidly after only 30 runs. Using
the optimized parameters, we simulate the generation of mode-locked
pulses from noise. The output spectrum and pulse energy are highly
consistent with the experiment. Furthermore, we describe the
intracavity dynamic evolution under group velocity mismatch. We then
show that the pulse trapping induced by cross-phase modulation leads
to the overcompensated time synchronization between the orthogonally
polarized components.
Influence of antireflection Si coatings on the damage threshold of fused silica upon irradiation with mid-IR femtosecond laser pulses
Authors: Tsibidis George D. , Stratakis Emmanuel
Published: August 2023

Recent progress in the development of high-power mid-IR laser sources and the exciting laser driven physical phenomena associated with the irradiation of solids via ultrashort laser pulses in that spectral region are aimed to potentially create novel capabilities for material processing. In particular, the investigation of the underlying physical processes and the evaluation of the optical breakdown threshold (OBT) following irradiation of bulk dielectric materials with mid-IR femtosecond (fs) pulses have been recently presented. In this Letter, we will explore the conditions that generate sufficient carrier excitation levels which lead to damage upon irradiation of a dielectric material (SiO2) coated with antireflection (AR) semiconducting films (Si) of variable thickness with fs pulses. Simulation results demonstrate that the reflectivity and transmissivity of the Si/SiO2 are thickness dependent which can be employed to modulate the damage threshold of the substrate. The study is to provide innovative routes for selecting material sizes that can be used for antireflection coatings and applications in the mid-IR region.
Whispering-gallery optical microprobe for photoacoustic imaging
Authors: Sun Jialve , Tang Shui-Jing , Meng Jia-Wei , Li Changhui
Published: August 2023

Optical ultrasonic probes, exemplified by Fabry–Perot cavities on optical fibers, have small sizes, high sensitivity, and pure optical characteristics, making them highly attractive in high-resolution ultrasonic/photoacoustic imaging, especially in near-field or endoscopic scenarios. Taking a different approach, we demonstrate an ultrasensitive and broadband ultrasound microprobe formed by an optical whispering-gallery-mode polymer microcavity coupled to a U-shaped microfiber. With the high-quality (Q) factors (>106), the noise equivalent pressure of the ultrasound microprobe reaches 1.07  mPa/√Hz with a record broadband response of 150 MHz and a large detection angle of 180°. Our results show that this optical microprobe can overcome the strong decay resulting from ultrasound diverging and medium absorption through short working distances. We further demonstrate high-quality in vivo whole-body photoacoustic imaging of a zebrafish larva. Our implementation provides a new strategy for developing miniature ultrasound detectors and holds great potential for broad applications.
Time to talk about values, time to say no: What drives public participation in decision-making on abstract versus concrete energy projects?
Authors: Perlaviciute Goda , Squintani Lorenzo
Published: August 2023

One way to develop more socially acceptable energy projects is by engaging people with different values (i.e., guiding principles in people’s lives) from early on in decision-making. However, people with different values may want to participate at different times of decision-making. When energy projects are still abstract (e.g., national renewable energy targets), people with strong biospheric values (i.e., caring about the environment) and altruistic values (i.e., caring about others) may want to participate. Whereas when projects become concrete (e.g., a local wind park), people with strong egoistic values (i.e., caring about personal resources) and hedonic values (i.e., caring about comfort and pleasure) may want to participate. In two field studies in the same region, we found that biospheric and altruistic values were indeed most strongly associated with people’s willingness to participate in abstract decision-making. At a local project level, the more people were against the project, the more they wanted to participate, irrespective of their values. We conclude that simply inviting people to participate in decision-making does not yet guarantee that different public values will be represented, and we draw recommendations for better incorporating values in energy decision-making.
Cost-effectiveness analysis of a maternal pneumococcal vaccine in low-income, high-burden settings such as Sierra Leone
Authors: Bilgin Gizem M. , Munira Syarifah Liza , Lokuge Kamalini , Glass Kathryn
Published: August 2023

Maternal pneumococcal vaccines have been proposed as a method of protecting infants in the first few months of life. In this paper, we use results from a dynamic transmission model to assess the cost-effectiveness of a maternal pneumococcal polysaccharide vaccine from both healthcare and societal perspectives. We estimate the costs of delivering a maternal pneumococcal polysaccharide vaccine, the healthcare costs averted, and productivity losses avoided through the prevention of severe pneumococcal outcomes such as pneumonia and meningitis. Our model estimates that a maternal pneumococcal program would cost $606 (2020 USD, 95% prediction interval 437 to 779) from a healthcare perspective and $132 (95% prediction interval -1 to 265) from a societal perspective per DALY averted for one year of vaccine delivery. Hence, a maternal pneumococcal vaccine would be cost-effective from a societal perspective but not cost-effective from a healthcare perspective using Sierra Leone’s GDP per capita of $527 as a cost-effectiveness threshold. Sensitivity analysis demonstrates how the choice to discount ongoing health benefits determines whether the maternal pneumococcal vaccine was deemed cost-effective from a healthcare perspective. Without discounting, the cost per DALY averted would be $292 (55% of Sierra Leone’s GDP per capita) from a healthcare perspective. Further, the cost per DALY averted would be $142 (27% GDP per capita) from a healthcare perspective if PPV could be procured at the same cost relative to PCV in Sierra Leone as on the PAHO reference price list. Overall, our paper demonstrates that maternal pneumococcal vaccines have the potential to be cost-effective in low-income settings; however, the likelihood of low-income countries self-financing this intervention will depend on negotiations with vaccine providers on vaccine price. Vaccine price is the largest program cost driving the cost-effectiveness of a future maternal pneumococcal vaccine.
The public health significance of finding autochthonous melioidosis cases in the continental United States
Authors: Torres Alfredo G.
Published: August 2023

Recently, the pathogen that causes melioidosis, Burkholderia pseudomallei, was found in the Gulf Coast region of Mississippi, United States of America, associated with human cases and as bacteria in the soil of affected areas. Therefore, the Centers for Disease Control and Prevention has declared the pathogen as endemic in the continental United States for the first time. This viewpoint discusses some issues that the research, public health communities, and government agencies need to address.
Immunogenicity and safety of Quadrivalent Influenza HA vaccine compared with Trivalent Influenza HA vaccine and evaluation of Quadrivalent Influenza HA vaccine batch-to-batch consistency in Indonesian children and adults
Authors: Fadlyana Eddy , Dhamayanti Meita , Tarigan Rodman , Prodjosoewojo Susantina , Rahmadi Andri Reza , Sari Rini Mulia , Rusmil Kusnandi , Kartasasmita Cissy B.
Published: August 2023

One of the newest strategies developed by the Global Influenza Strategy has been to broaden the composition of the current influenza vaccine formulations from trivalent products to quadrivalent products. This study aimed to assess the immunogenicity and safety of Quadrivalent Influenza HA vaccine (QIV) compared with Trivalent Influenza HA vaccine (TIV) and to evaluate three consecutive batches of QIV equivalence in Indonesian children and adults. This was an experimental, randomized, double blind, four arm parallel group bridging study involving unprimed healthy children and adults aged 9–40 years. A total of 540 subjects were enrolled in this study and randomized into four arm groups. Each subject received one dose of TIV or QIV with three different batch codes. Serology tests were performed at baseline and 28 days after vaccination. Hemagglutination inhibition (HI) antibody titers were analyzed for Geometric Mean Titer (GMT), seroprotection, and seroconversion rates. Solicited, unsolicited, and serious adverse events were observed up to 28 days after vaccination. A total of 537 subjects completed the study per protocol and were analyzed for immunogenicity criteria. All randomized subjects were analyzed for safety criteria. The percentage of the subjects with anti-HI titer ≥1:40 28 days after QIV vaccination was 99.5% for A/H1N1; 99.5% for A/H3N2; 93.1% for B/Texas, and 99.0% for B/Phuket. The seroprotection, GMT, and seroconversion rates of QIV were not significantly different from those of TIV for the common vaccine strains (p > 0.01) and were significantly different from those of TIV for the added B/Phuket strains (p < 0.01). Most solicited injection-site and systemic reactions with either vaccine were mild to moderate and resolved within a few days. Antibody response to QIV were equivalence among vaccine batches and comparable between age groups for each of the 4 strains. QIV was immunogenic and well-tolerated and had immunogenicity and safety profiles compared with TIV for all common strains. The immunogenicity of the three batches of QIV was equivalent for the four strains.

Trial registration. Clinical Trial registration: NCT03336593.
Effects of joint mobilization combined with acupuncture on pain, physical function, and depression in stroke patients with chronic neuropathic pain: A randomized controlled trial
Authors: Lee Ji-Eun , Akimoto Takayuki , Chang Jisuk , Lee Ho-Seong
Published: August 2023

Objective

To investigate the effectiveness of joint mobilization (JM) combined with acupuncture (AC) for the treatment of pain, physical function and depression in poststroke patients.

Methods

A total of 69 poststroke patients were randomly assigned to the JM+AC group (n = 23), the JM group (n = 23), and the control group (n = 23). Patients in the JM+AC group and the JM group received JM for 30 minutes, twice a week for 12 weeks, and the JM+AC group received AC for 30 minutes separately once a week. The control group did not receive JM or AC. Pain (visual analog scale, shoulder pain and disability index, Western Ontario and McMaster universities osteoarthritis index), physical function (range of motion, 10-m walking speed test, functional gait assessment, manual function test, activities of daily living scale, instrumental activities of daily living scale), and depression (center for epidemiologic studies depression scale, Beck depression inventory) were assessed for each patient before and after the 12 weeks of intervention.

Results

Pain and physical function were improved significantly in the JM+AC group compared with the JM and control groups. Physical function and depression were improved significantly in the JM+AC and JM groups compared with the control group.

Conclusion

The treatment of JM combined with AC improved pain, depression, and physical function of poststroke patients with chronic neuropathic pain in this study. This valuable finding provides empirical evidence for the designing therapeutic interventions and identifying potential therapeutic targets.
Youth focused life skills training and counselling services program–An inter-sectoral initiative in India: Program development and preliminary analysis of factors affecting life skills
Authors: Melur Sukumar Gautham , Banandur Pradeep S. , Nagaraja Srividya Rudrapattana , Shenoy Anusha B. , Shahane Swati , Shankar Ravi G. , Banavaram Arvind Anniappan , Yekkar Gananatha Shetty , Rajneesh Shalini , Gopalkrishna Gururaj
Published: August 2023

Objectives

This paper describes the methodology of developing and implementation of a youth focused life skills training and counselling services programme (LSTCP) and assessment of factors associated with life skills of participants pre-training.

Design

Development of all aspects of LSTCP (modules, methods and evaluation) was through a consultative process. Experiential learning based facilitation was decided as the approach for training participants. A quasi-experimental design with pre, post and follow-up assessment post-training was finalised. Data collection was done using specifically developed semi-structured self-administered questionnaire.

Results

Multivariable logistic regression with life skills as outcome and various exposure variables was performed. About 2/3rd of participants had high level of life skills (68%). Increased score of extraversion (AOR = 1.57,95% CI = 1.32–1.85), agreeableness (AOR = 1.42,95% CI = 1.16–1.73), conscientiousness (AOR = 1.9,95% CI = 1.55–2.33), physical (AOR = 1.03,95% CI = 1.01–1.04), environmental (AOR = 1.02,95% CI = 1.004–1.03) and social quality of life (AOR = 1.01,95% CI = 1.006–1.02) were associated with high life skills score. Higher score of neuroticism (AOR = 0.66,95% CI = 0.53–0.79) was associated with low life skills score.

Conclusion

The results presented provide an opportunity to understand the evolution of factors affecting life skills during the follow-up of this study. This study throws light on development of LSTCP for apparently healthy population in a setting like India and its states.
Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management
Authors: Zammit Alban , Coquet Jean , Hah Jennifer , el Hajouji Oualid , Asch Steven M. , Carroll Ian , Curtin Catherine M. , Hernandez-Boussard Tina
Published: August 2023

Background

Opioids are commonly prescribed for postoperative pain, but may lead to prolonged use and addiction. Diabetes impairs nerve function, complicates pain management, and makes opioid prescribing particularly challenging.

Methods

This retrospective observational study included a cohort of postoperative patients from a multisite academic health system to assess the relationship between diabetes, pain, and prolonged opioid use (POU), 2008–2019. POU was defined as a new opioid prescription 3–6 months after discharge. The odds that a patient had POU was assessed using multivariate logistic regression controlling for patient factors (e.g., demographic and clinical factors, as well as prior pain and opiate use).

Findings

A total of 43,654 patients were included, 12.4% with diabetes. Patients with diabetes had higher preoperative pain scores (2.1 vs 1.9, p<0.001) and lower opioid naïve rates (58.7% vs 68.6%, p<0.001). Following surgery, patients with diabetes had higher rates of POU (17.7% vs 12.7%, p<0.001) despite receiving similar opioid prescriptions at discharge. Patients with Type I diabetes were more likely to have POU compared to other patients (Odds Ratio [OR]: 2.22; 95% Confidence Interval [CI]:1.69–2.90 and OR:1.44, CI: 1.33–1.56, respectively).

Interpretation

In conclusion, surgical patients with diabetes are at increased risk for POU even after controlling for likely covariates, yet they receive similar postoperative opiate therapy. The results suggest a more tailored approach to diabetic postoperative pain management is warranted.
Multi-scale assessment of roost selection by ‘ōpe‘ape‘a, the Hawaiian hoary bat (Lasiurus semotus)
Authors: Montoya-Aiona Kristina , Gorresen P. Marcos , Courtot Karen N. , Aguirre Aaron , Calderon Flor , Casler Sean , Ciarrachi Sarah , Hoeh Julia , Tupu Josephine L. , Zinn Terry
Published: August 2023

The Hawaiian hoary bat (Lasiurus semotus; Chiroptera: Vespertilionidae), commonly and locally known as ‘ōpe‘ape‘a, is a solitary, insectivorous, and foliage-roosting species distributed across a wide range of habitats in lowland and montane environments. The species, as with many others in the Hawaiian archipelago, are facing a suite of challenges due to habitat loss and degradation, introduced predators and pests, and climate change. An understanding of the roost requirements of foliage-roosting tree bats is critical to their conservation as these habitats provide several important benefits to survival and reproduction. Because little is known about ‘ōpe‘ape‘a roost ecology and considerable effort is needed to capture and track bats to roost locations, we examined resource selection at multiple spatial scales—perch location within a roost tree, roost tree, and forest stand. We used a discrete choice modeling approach to investigate day-roost selection and describe attributes of roost trees including those used as maternity roosts. ‘Ōpe‘ape‘a were found roosting in 19 tree species and in an assortment of landcover types including native and non-native habitats. Our results are largely consistent with findings of other studies of foliage-roosting, insectivorous tree bats where bats selected roost locations that may offer protection and thermoregulatory benefits.
MIESRA mHealth: Marital satisfaction during pregnancy
Authors: Besral Besral , Misrawati Misrawati , Afiyanti Yati , Ismail Raden Irawati , Arifin Hidayat
Published: August 2023

The transition of a pregnant woman’s role often causes emotional changes that have an impact on marital satisfaction. We develop MIESRA mHealth and evaluate its impact on satisfaction of husband-wife relationship during pregnancy. A quasi-experimental study was conducted on 82 couples of pregnant women and divided into control, single, and paired group. We implemented MIESRA mHealth for four weeks. In the couple group, the wife did mindfulness based on the information in the MIESRA mHealth together with her husband. In a single group, the wife sees the video as an initial guide to doing mindfulness. In the control group, respondents received programme interventions from hospitals which included education and consultation with obstetricians. Husband-wife relationship is evaluated using Compatibility of Husband-and-Wife Relationships / Kesesuaian Hubungan Suami Istri (KHSI) questionnaire and the generalised estimating equations (GEE) was used to analyse the data. The women’s KHSI scores in the couple and single intervention groups (β = -7.46, p = 0.002; β = -9.11, p = 0.001) were better than the control group. The husbands’ KHSI scores in the paired and individual intervention groups (β = -7.04, p<0.001; β = -3.74, p = 0.024) were better than the control group. Nursing interventions to build emotional bonds between parents and foetuses based on mHealth can be a promising intervention for marital harmony during the perinatal period. MIESRA m-Health is a promising intervention on marital satisfaction during pregnancy and can be implemented as a part of the antenatal care programme to increase marital satisfaction.
Impact of height difference between coronary ostium and location of intracoronary pressure sensor on fractional flow reserve measurements
Authors: Soh Moon-Seung , Kim Hangyul , Kang Min Gyu , Lee Hyo Jin , Lee Seung Do , Hwang Seok-Jae , Hwang Jin-Yong , Kim Kyehwan , Park Jeong-Rang , Kim Hye-Ree , Tahk Seung-Jea , Yoon Myeong-Ho , Lim Hong-Seok , Koh Jin-Sin
Published: August 2023

Background

During fractional flow reserve (FFR) measurements, distal coronary pressure (Pd) can be influenced by hydrostatic pressure changes resulting from the height difference (HD) between the coronary ostium and the location of the distal pressure sensor.

Aims

We investigated the effect of aortocoronary HD on the FFR measurements in each coronary artery.

Methods

In this retrospective cohort study, we analyzed 257 patients who underwent FFR measurements and coronary computed tomography (CCTA) within a year. Using CCTA, we measured HD as the vertical distance between the coronary ostium and a matched point of the distal coronary pressure sensor identified on coronary angiography.

Results

The location of the Pd sensor was higher than the coronary ostium in the left anterior descending artery (LAD) (-4.64 ± 1.15 cm) and lower than the coronary ostium in the left circumflex artery (LCX) (2.54 ± 1.05 cm) and right coronary artery (RCA) (2.03 ± 1.28 cm). The corrected FFR values by HD were higher in the LAD (0.78 ± 0.09 to 0.82 ± 0.09, P<0.01) and lower in the LCX and RCA than the original FFR values (0.87 ± 0.07 to 0.85 ± 0.08, P<0.01; 0.87 ± 0.10 to 0.86 ± 0.10, P<0.01, respectively). Using an FFR cut-off value of 0.8, the concordance rates between the FFR and corrected FFR values were 77.8%, 95.2%, and 100% in the LAD, LCX, and RCA, respectively.

Conclusion

HD between the coronary ostium and the distal coronary pressure sensor may affect FFR measurements and FFR-guided treatment decisions for coronary artery disease.
The effect of smartwatch head shape on visual imagery perception
Authors: Feng Yu-Liang , Lin Yang-Cheng , Chen Chun-Chin
Published: August 2023

Obesity-related diseases have been on the rise, making it important to promote physical activity. Smart sports watches are popular among young people and can play a role in this regard. This study aims to evaluate the impact of different watch head design types on the visual image of smart sports watches. Based on sales data, seven sports smartwatches with sales of over 2000 units were selected from a sample of 50 as representative samples. A factor analysis and questionnaire survey were used to identify four groups of adjectives that describe watch heads: Sporty and Smart, precious and exquisite, distinctive and avant-garde, and trendy and technological. College students evaluated the seven watches using these adjectives, and using triangular fuzzy mathematics theory, the watches were divided into three categories. The results show that the seven watches had significant differences in appearing "Sporty and Smart" and "precious and exquisite", while the visual imagery of "distinctive and avant-garde" and "trendy and technological" had no significant difference. Based on the grouping analysis of the seven samples, it is concluded that: the slim and compact shape without excessive decoration has a sense of sportiness and simplicity; the square shape combined with left and right buttons has a sense of sportiness and fashion; the unique connection between the round shape, the watch strap, and the watch head, as well as the strong mechanical feeling, have a sense of value. To substantiate the validity of our research findings, we devised three novel specimens based on the morphological elements of sports watches and conducted surveys accordingly. Statistical analysis revealed a fundamental coherence between the performance of these specimens in four stylistic domains and the expression of style-forming elements, confirming the reference value of these findings in the stylistic design of sports smartwatches. This study provides designers with references for improving the design and development efficiency of smart sports watches, promoting their sustainable development.
Automated analysis of vessel morphometry in retinal images from a Danish high street optician setting
Authors: Freiberg Josefine , Welikala Roshan A. , Rovelt Jens , Owen Christopher G. , Rudnicka Alicja R. , Kolko Miriam , Barman Sarah A. ,   on behalf of the FOREVER consortium
Published: August 2023

Purpose

To evaluate the test performance of the QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) software in detecting retinal features from retinal images captured by health care professionals in a Danish high street optician chain, compared with test performance from other large population studies (i.e., UK Biobank) where retinal images were captured by non-experts.

Method

The dataset FOREVERP (Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability, Pilot) contains retinal images obtained from a Danish high street optician chain. The QUARTZ algorithm utilizes both image processing and machine learning methods to determine retinal image quality, vessel segmentation, vessel width, vessel classification (arterioles or venules), and optic disc localization. Outcomes were evaluated by metrics including sensitivity, specificity, and accuracy and compared to human expert ground truths.

Results

QUARTZ’s performance was evaluated on a subset of 3,682 images from the FOREVERP database. 80.55% of the FOREVERP images were labelled as being of adequate quality compared to 71.53% of UK Biobank images, with a vessel segmentation sensitivity of 74.64% and specificity of 98.41% (FOREVERP) compared with a sensitivity of 69.12% and specificity of 98.88% (UK Biobank). The mean (± standard deviation) vessel width of the ground truth was 16.21 (4.73) pixels compared to that predicted by QUARTZ of 17.01 (4.49) pixels, resulting in a difference of -0.8 (1.96) pixels. The differences were stable across a range of vessels. The detection rate for optic disc localisation was similar for the two datasets.

Conclusion

QUARTZ showed high performance when evaluated on the FOREVERP dataset, and demonstrated robustness across datasets, providing validity to direct comparisons and pooling of retinal feature measures across data sources.
Habitual intake of fat and sugar is associated with poorer memory and greater impulsivity in humans
Authors: Yeomans Martin R. , Armitage Rhiannon , Atkinson Rebecca , Francis Heather , Stevenson Richard J.
Published: August 2023

The vicious cycle model of obesity suggests that repeated habitual intake of a diet high in fat and sugar (HFS) results in impairment in hippocampal function which in turn increases impulsive behaviours, making it harder to resist unhealthy diet choices. Evidence from studies with rodents consistently show switching to a HFS diet impairs performance on hippocampally-sensitive memory tasks. The limited literature in humans also suggest impaired memory and increased impulsivity related to higher habitual HFS intake. However, these changes in memory and impulsivity have been looked at independently. To investigate how these effects are inter-related, three experiments were conducted where relative HFS intake was related to measures of memory and impulsivity. In Experiment 1 (90 female participants), HFS was associated with higher scores on the Everyday Memory Questionnaire-revised (EMQ), and higher scores on the total, Attention (BISatt) and Motor (BISmot) sub-scales of the Barratt Impulsiveness Scale (BIS11). Experiment 2 (84 women and 35 men), replicated the association between HFS and EMQ, and also found HFS related to poorer performance on the hippocampally-sensitive 4 mountain (4MT) memory task. The association between HFS intake and the BISatt replicated, but there were no significant associations with other BIS11 measures or delay-discounting for monetary rewards. Experiment 3 (199 women and 87 men) replicated the associations between DFS and 4MT and EMQ, and also found an association with overall recall, but not response inhibition, from a Remembering Causes Forgetting task: HFS was also significantly associated with BIS total, BISatt and BISmot. In all three studies these associations remained when potential confounds (BMI, age, gender, hunger state, restrained and disinhibited eating) were controlled for. Mediation analysis found that the effect of HFS on memory at least part mediated the relationship between HFS and impulsivity in Experiments 1 and 3, but not 2. Overall these data provide some support for the vicious cycle model, but also suggest that trait impulsivity may be a risk factor for poor dietary choice.
Exploring the relationship between environmental drivers and the manifestation of fibropapillomatosis in green turtles (Chelonia mydas) in eastern Brazil
Authors: Vanstreels Ralph E. T. , Durant Alexis , Santos Allan P. , Santos Robson G. , Sarmiento Angélica M. S. , Rossi Silmara , Setim Fabiola E. , Gattamorta Marco A. , Matushima Eliana R. , Mayorga Luis F. S. P. , Uhart Marcela M.
Published: August 2023

Fibropapillomatosis (FP) is a disease characterized by epithelial tumors that can impede life-sustaining activities of sea turtles, especially green turtles (Chelonia mydas). FP is caused by a herpesvirus, but environmental factors are also thought to play a role in triggering FP tumor growth. In this study, we evaluate the epidemiology of FP tumors in green turtles along the coast of Espírito Santo, Brazil, a region where juvenile green turtles are known to aggregate with high FP prevalence. A dataset comprising 2024 beach-cast green turtles recorded through daily beach surveys on 400 km of coastline from 2018 to 2021 (inclusive) was evaluated. FP tumors were recorded in 40.9% of the individuals in this dataset, and presence of FP tumors was predicted by individual variables (presence of marine leeches, stranding code, curved carapace length, body mass-size residual) and characteristics of the stranding site (distance to nearest metallurgical plant, mean sea surface salinity (SSS), annual range of sea surface temperature (SST)). Additionally, a second dataset comprising detailed information about the size and anatomical distribution of tumors in 271 green turtles with FP from the same region was evaluated. Hierarchical clustering analysis revealed these turtles could be classified in three groups according to the anatomical distribution of their tumors, and in turn the group to which each turtle was assigned could be predicted by the study period (2010–2014 vs. 2018–2022) and by characteristics of the stranding/capture site (green turtle stranding density, mean sea surface chlorophyll-a concentration, mean SSS, mean SST, annual range of SST). These results corroborate that individual and environmental factors play a significant role driving FP epidemiology. Furthermore, the results suggest that rather than behaving as a single entity, FP may be seen as a mosaic of distinct anatomical patterns that are not necessarily driven by the same environmental factors.
Significant expansion of the donor pool achieved by utilizing islets of variable quality in the production of allogeneic “Neo-Islets”, 3-D organoids of Mesenchymal Stromal and islet cells, a novel immune-isolating biotherapy for Type I Diabetes
Authors: Gooch Anna M. , Chowdhury Sabiha S. , Zhang Ping M. , Hu Zhuma M. , Westenfelder Christof
Published: August 2023

Novel biotherapies for Type 1 Diabetes that provide a significantly expanded donor pool and that deliver all islet hormones without requiring anti-rejection drugs are urgently needed. Scoring systems have improved islet allotransplantation outcomes, but their use may potentially result in the waste of valuable cells for novel therapies. To address these issues, we created “Neo-Islets” (NIs), islet-sized organoids, by co-culturing in ultralow adhesion flasks culture-expanded islet (ICs) and Mesenchymal Stromal Cells (MSCs) (x 24 hrs, 1:1 ratio). The MSCs exert powerful immune- and cyto-protective, anti-inflammatory, proangiogenic, and other beneficial actions in NIs. The robust in vitro expansion of all islet hormone-producing cells is coupled to their expected progressive de-differentiation mediated by serum-induced cell cycle entry and Epithelial-Mesenchymal Transition (EMT). Re-differentiation in vivo of the ICs and resumption of their physiological functions occurs by reversal of EMT and serum withdrawal-induced exit from the cell cycle. Accordingly, we reported that allogeneic, i.p.-administered NIs engraft in the omentum, increase Treg numbers and reestablish permanent normoglycemia in autoimmune diabetic NOD mice without immunosuppression. Our FDA-guided pilot study (INAD 012–0776) in insulin-dependent pet dogs showed similar responses, and both human- and canine-NIs established normoglycemia in STZ-diabetic NOD/SCID mice even though the utilized islets would be scored as unsuitable for transplantation. The present study further demonstrates that islet gene expression profiles (α, β, γ, δ) in human “non-clinical grade” islets obtained from diverse, non-diabetic human and canine donors (n = 6 each) closely correlate with population doublings, and the in vivo re-differentiation of endocrine islet cells clearly corresponds with the reestablishment of euglycemia in diabetic mice. Conclusion: human-NIs created from diverse, “non-clinical grade” donors have the potential to greatly expand patient access to this curative therapy of T1DM, facilitated by the efficient in vitro expansion of ICs that can produce ~ 270 therapeutic NI doses per donor for 70 kg recipients.
Co-expression of nitrogenase proteins in cotton (Gossypium hirsutum L.)
Authors: Shang Yimin , Guo Wenfang , Liu Xiaomeng , Ma Lei , Liu Dehu , Chen Sanfeng
Published: August 2023

Chemical nitrogen fertilizer can maintain crop productivity, but overuse of chemical nitrogen fertilizers leads to economic costs and environmental pollution. One approach to reduce use of nitrogen fertilizers is to transfer nitrogenase biosynthetic pathway to non-legume plants. Fe protein encoded by nifH and MoFe protein encoded by nifD and nifK are two structural components of nitrogenase. NifB encoded by nifB is a critical maturase that catalyzes the first committed step in the biosynthesis of nitrogenase FeMo-cofactor that binds and reduces N2. Expression of the nifB, nifH, nifD and nifK is essential to generate plants that are able to fix atmospheric N2. In this study, the four genes (nifB, nifH, nifD and nifK) from Paenibacillu polymyxaWLY78 were assembled in plant expression vector pCAMBIA1301 via Cre/LoxP recombination system, yielding the recombinant expression vector pCAMBIA1301-nifBHDK. Then, the four nif genes carried in the expression vector were co-introduced into upland cotton R15 using Agrobacterium tumefaciens-mediated transformation. Homozygous transgenic cotton lines B2, B5 and B17 of T3 generation were selected by PCR and RT-PCR. qRT-PCR showed that nifB, nifH, nifD and nifK were co-expressed in the transgenic cottons at similar levels. Western blotting analysis demonstrated that NifB, NifH, NifD and NifK were co-produced in the transgenic cottons. Co-expression of the four critical Nif proteins (NifB, NifH, NifD and NifK) in cottons represents an important step in engineering nitrogenase biosynthetic pathway to non-legume plants.
A stand level scenario model for the Norwegian forestry – a case study on forest management under climate change
Authors:   Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management, NO-1432 Ås, Norway, Strîmbu Victor , Eid Tron , Gobakken Terje
Published: August 2023

Carbon sequestration and income generation are competing objectives in modern forest management. The climate commitments of many countries depend on forests as carbon sinks which must be quantified, monitored, and projected into the future. For projections we need tools to model forest development and perform scenario analyses to assess future carbon sequestration potentials under different management regimes, the expected net present value of such regimes, and possible impacts of climate change. We propose a scenario analysis software tool (GAYA 2.0) that can assist in answering these types of questions using stand level simulations, detailed carbon flow models and an optimizer. This paper has two objectives: (1) to describe GAYA 2.0, and (2) demonstrate its potential in a case study where we analyze the forest carbon balance over a region in Norway based on national forest inventory sample plots. The tool was used to map the optimality front between the carbon benefit and net present value. We observed changes in net present value for different levels of carbon benefit as well as changes in optimal management strategies. We predicted future changes in several forest carbon pools as well as albedo and illustrated the impact of gradual increase in forest productivity (i.e., due to climate warming). Having been updated and modernized from its previous version with increased attention to forest carbon and energy fluxes, GAYA 2.0 is an effective tool that offers multiple opportunities to perform various types of scenario analyses in forest management.