bluuebunny/crossref_metadata_2025 huggingface dataset:
Identifying a target group for selenium supplementation in high-risk cardiac surgery: a secondary analysis of the SUSTAIN CSX trial
Authors: Notz Quirin , Heyland Daren K. , Lee Zheng-Yii , Menger Johannes , Herrmann Johannes , Chillon Thilo S. , Fremes Stephen , Mohammadi Siamak , Elke Gunnar , Mazer C. David , Hill Aileen , Velten Markus , Ott Sascha , Kleine-Brueggeney Maren , Meybohm Patrick , Schomburg Lutz , Stoppe Christian
Published: December 2023

Background

Recent data from the randomized SUSTAIN CSX trial could not confirm clinical benefits from perioperative selenium treatment in high-risk cardiac surgery patients. Underlying reasons may involve inadequate biosynthesis of glutathione peroxidase (GPx3), which is a key mediator of selenium's antioxidant effects. This secondary analysis aimed to identify patients with an increase in GPx3 activity following selenium treatment. We hypothesize that these responders might benefit from perioperative selenium treatment.

Methods

Patients were selected based on the availability of selenium biomarker information. Four subgroups were defined according to the patient's baseline status, including those with normal kidney function, reduced kidney function, selenium deficiency, and submaximal GPx3 activity.

Results

Two hundred and forty-four patients were included in this analysis. Overall, higher serum concentrations of selenium, selenoprotein P (SELENOP) and GPx3 were correlated with less organ injury. GPx3 activity at baseline was predictive of 6-month survival (AUC 0.73; p = 0.03). While selenium treatment elevated serum selenium and SELENOP concentrations but not GPx3 activity in the full patient cohort, subgroup analyses revealed that GPx3 activity increased in patients with reduced kidney function, selenium deficiency and low to moderate GPx3 activity. Clinical outcomes did not vary between selenium treatment and placebo in any of these subgroups, though the study was not powered to conclusively detect differences in outcomes.

Conclusions

The identification of GPx3 responders encourages further refined investigations into the treatment effects of selenium in high-risk cardiac surgery patients.

Graphical Abstract
Clinical application of a population-based input function (PBIF) for a shortened dynamic whole-body FDG-PET/CT protocol in patients with metastatic melanoma treated by immunotherapy
Authors: Pavoine Mathieu , Thuillier Philippe , Karakatsanis Nicolas , Legoupil Delphine , Amrane Karim , Floch Romain , Le Pennec Romain , Salaün Pierre-Yves , Abgral Ronan , Bourhis David
Published: December 2023

Background

The aim was to investigate the feasibility of a shortened dynamic whole-body (dWB) FDG-PET/CT protocol and Patlak imaging using a population-based input function (PBIF), instead of an image-derived input function (IDIF) across the 60-min post-injection period, and study its effect on the FDG influx rate (Ki) quantification in patients with metastatic melanoma (MM) undergoing immunotherapy.

Methods

Thirty-seven patients were enrolled, including a PBIF modeling group (n = 17) and an independent validation cohort (n = 20) of MM from the ongoing prospective IMMUNOPET2 trial. All dWB-PET data were acquired on Vision 600 PET/CT systems. The PBIF was fitted using a Feng’s 4-compartments model and scaled to the individual IDIF tail’s section within the shortened acquisition time. The area under the curve (AUC) of PBIFs was compared to respective IDIFs AUC within 9 shortened time windows (TW) in terms of linear correlation (R2) and Bland–Altman tests. Ki metrics calculated with PBIF vs IDIF on 8 organs with physiological tracer uptake, 44 tumoral lesions of MM and 11 immune-induced inflammatory sites of pseudo-progression disease were also compared (Mann–Whitney test).

Results

The mean ± SD relative AUC bias was calculated at 0.5 ± 3.8% (R2 = 0.961, AUCPBIF = 1.007 × AUCIDIF). In terms of optimal use in routine practice and statistical results, the 5th–7th pass (R2 = 0.999 for both Ki mean and Ki max) and 5th–8th pass (mean ± SD bias = − 4.9 ± 6.5% for Ki mean and − 4.8% ± 5.6% for Ki max) windows were selected. There was no significant difference in Ki values from PBIF5_7 vs IDIF5_7 for physiological uptakes (p > 0.05) as well as for tumor lesions (mean ± SD Ki IDIF5_7 3.07 ± 3.27 vs Ki PBIF5_7 2.86 ± 2.96 100ml/ml/min, p = 0.586) and for inflammatory sites (mean ± SD Ki IDIF5_7 1.13 ± 0.59 vs Ki PBIF5_7 1.13 ± 0.55 100ml/ml/min, p = 0.98).

Conclusion

Our study showed the feasibility of a shortened dWB-PET imaging protocol with a PBIF approach, allowing to reduce acquisition duration from 70 to 20 min with reasonable bias. These findings open perspectives for its clinical use in routine practice such as treatment response assessment in oncology.
A high quality Aotearoa New Zealand dietary pattern adapting a Mediterranean diet for metabolic health: a feasibility study
Authors: Parry-Strong Amber , Gearry Richard , Merry Troy L. , Weatherall Mark , Davies Cheryl , Worthington Anna , Bishop Rhiane , Wright Summer Rangimaarie , Lithander Fiona E. , Foster Meika , Krebs Jeremy
Published: December 2023

Aim

To assess the feasibility of a family-based dietary intervention study using a meal kit home delivery service, in people at risk of cardio-metabolic disease.

Methods

A 12-week dietary intervention feasibility study of adults (termed the index participants) at increased risk of metabolic and cardiovascular disease, enriched for Māori who are indigenous New Zealanders. The study sample also included the household/whānau members living with the index participant. All participants received a 12 week intervention using weekly home delivery of meal kits and groceries consistent with a Mediterranean dietary pattern. Outcomes were the metabolic syndrome severity score (MetSSS); feasibility and acceptability of the intervention; dietary intake; and other clinical and anthropometric measures.

Results

There were 29 index participants recruited and in addition, 50 household/whānau members took part in the feasibility study. The mean (SD) household/whānau size was 3.45 (1.4) people, and the mean (SD) number of people in each household/whānau who participated in the study was 2.84 (1.2). The feasibility of intervention to households/whānau was proven in this context. The mean (SD) change in MetSSS was 0.03 (0.33), N = 27, P = 0.69 and there was a statistically significant decrease in body weight of 1.37 kg (95% CI 0.11 to 2.62), p = 0.034. The food deliveries were well received, the dinner kits more so than the grocery items.

Conclusion

It is feasible to recruit individuals and households/whānau to a family-based dietary intervention. Use of a meal kit home delivery service to provide food which is consistent with the intervention dietary pattern was well received. This feasibility study identified improvements to be made such as nutrition behaviour change support, more variety in food provided, more recipes, and better matching of food quantity to family size.

Trial registration

ANZCTR—ACTRN12621000856819p registered 2.JUN.2021 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=382021&isReview=true
The associations between whole grain, sugar and nutrients intakes in schoolchildren: a cross-sectional study
Authors: Koo HC , Lim GP , Kaur Satvinder , Chan KQ
Published: December 2023

Background

Whole grains have gained extensive attention for their contribution to optimal diet quality in the child population. However, little is known about the association between whole grain and sugar intakes. This study aimed to determine whole grain intake and its associations with sugar and other nutrients intakes in schoolchildren.

Methods

A total of 415 healthy Malaysian schoolchildren aged 9–12 years were recruited in this cross-sectional study, through cluster random sampling. Nutrient and sugar intakes were assessed using 3-day 24-hour diet recalls. Whole grain intake was assessed using a validated whole grain food frequency questionnaire.

Results

In these 415 children (9.4–12.7 years), a total of 24 of them have been excluded due to over- and under-reported their dietary intake. Ultimate sample size was 391 children. Overall, consumption of whole grain, fiber, calcium and B vitamins were lower than the recommended intake. However, children consumed protein sufficiently. Whole grain intake was a significant predictor of calorie (β = 0.1011; p < 0.001), carbohydrate (β = 0.060; p = 0.002), fat (β = 0.107; p = 0.044), riboflavin (β = 3.537; p = 0.008) and sugar (β = 0.138; p = 0.007) intakes, after controlling for sex, age and ethnicity.

Conclusion

The findings provide insight to parents, educators and healthcare professionals in encouraging children to choose whole grain food that is low in sugar and fat. The outcome will also encourage food manufacturing companies to produce healthier whole grain products.
Evaluating the impact of engaging older adults and service providers as research partners in the co-design of a community mobility-promoting program: a mixed methods developmental evaluation study
Authors: MacNeil Maggie , Abelson Julia , Moore Caroline , Lindsay Shazelle , Adams Janet , Alshaikhahmed Aref , Jain Kamal , Petrie Penelope , Ganann Rebecca
Published: December 2023

Background

Increasingly researchers are partnering with citizens and communities in research; less is known about research impacts of this engagement. EMBOLDEN is an evidence-informed, mobility-promoting intervention for older adults co-designed by a 26-person Strategic Guiding Council (SGC) of health/social service providers and older adult citizens. This study evaluated research partners’ perceptions of engagement strategies, the engagement context, strengths, areas for improvement, as well as the impacts of the guiding council on older-adult identified priority areas.

Methods

This study was guided by developmental evaluation, working in partnership with four older adult SGC members who helped to set evaluation priorities, decide methods, and adapt patient-centred evaluation tools. Data sources included a questionnaire, focus groups and document analysis of meeting notes from 16 SGC meetings that took place between December 2019 and February 2022. A thematic approach to analysis guided the coding of focus group transcripts and SGC meeting notes. Convergent mixed methods guided the integration and presentation of qualitative and quantitative data sources in a joint display of evaluation results.

Results

Of 26 SGC members, nine completed the evaluation squestionnaire, and five participated in focus groups. Around two thirds of the SGC commonly attended each meeting. EMBOLDEN’s SGC was structured to include a diverse group (across gender, ethnicity and discipline) of older adults and service providers, which was perceived as a strength. Engagement processes were perceived as inclusive and well-facilitated, which stimulated discussion at meetings. Advantages and disadvantages of engaging with the SGC virtually, as compared to in-person (as was the case for the first 3 SGC meetings) were also discussed. Impacts of the SGC were identified across preparatory, execution phase and translational stages of research. Impacts of SGC involvement on members were also described.

Conclusion

Older adult research partners played an important role designing, implementing, and evaluating co-design approaches in this study. Older adults and service providers can make important contributions to the design, delivery and sharing results of health research through their lived expertise and connections to community. This project contributes to the growing field of citizen and community engagement in research by offering a participatory approach to engagement evaluation that considers diversity, satisfaction, and impact.
Assessing the effect of mHealth on child feeding practice in African countries: systematic and meta-analysis
Authors: Gilano Girma , Sako Sewunet , Dileba Temesgen , Dekker Andre , Fijten Rianne
Published: December 2023

Introduction

Poor child feeding practice is a public health problem in Africa. Mobile health (mHealth) is a supportive intervention to improve this problem; however, the evidence available in the current literature is inconsistent and inconclusive in Africa. Some studies state that exclusive breastfeeding is not different between controls and mHealth interventions in the first month. Other studies state that health providers need additional training for the success of mHealth interventions.

Objective

This systematic review and meta-analysis aims to provide the summarized effect of mHealth on child-feeding practices in Africa to improve future planning and decisions.

Method

We conducted a systematic review and meta-analysis based on the published and unpublished evidence gathered from PubMed, Web of Science, Cochrane Library, and Embase databases between January 1, 2000, and March 1, 2022. Studies included were randomized control trials and experimental studies that compared mHealth to standards of care among postpartum women. Preferred Reporting Items for Systematic Review and Meta-analysis guidelines followed for the reporting.

Results

After screening 1188 studies, we identified six studies that fulfilled the study criteria. These studies had 2913 participants with the number of total intervention groups 1627 [1627/2913 = 56%]. Five studies were completed within 24 weeks while one required 12 weeks. We included two RCTs, two cluster RCTs, and two quasi-experimental studies all used mHealth as the major intervention and usual care as controls. We found significant improvement in child-feeding practices among intervention groups.

Conclusion

This systematic review and meta-analysis showed that the application of mHealth improved child-feeding practices in Africa. Although the finding is compelling, the authors recommend high-quality studies and mHealth interventions that consider sample size, design, regional differences, and environmental constraints to enhance policy decisions. The place of residence, access, low socioeconomic development, poor socio-demographic characteristics, low women empowerment, and low women’s education might cause high heterogeneity in the included regions and need consideration during interventions.

Registration number: PROSPERO: CRD42022346950.
Energy metabolism modulates the regulatory impact of activators on gene expression
Authors: Qiao Sha , Bernasek Sebastian , Gallagher Kevin D. , O'Connell Jessica , Yamada Shigehiro , Bagheri Neda , Amaral Luis A. N. , Carthew Richard W.
Published: December 2023

Gene expression is a regulated process fueled by ATP consumption. Therefore, regulation must be coupled to constraints imposed by the level of energy metabolism. Here, we explore this relationship both theoretically and experimentally. A stylized mathematical model predicts that activators of gene expression have variable impact depending on metabolic rate. Activators become less essential when metabolic rate is reduced and more essential when metabolic rate is enhanced. We find that, in the Drosophila eye, expression dynamics of the yan gene are less affected by loss of EGFR-mediated activation when metabolism is reduced, and the opposite effect is seen when metabolism is enhanced. The effects are also seen at the level of pattern regularity in the adult eye, where loss of EGFR-mediated activation is mitigated by lower metabolism. We propose that gene activation is tuned by energy metabolism to allow for faithful expression dynamics in the face of variable metabolic conditions.
What is the visual behaviour and attentional effort of football players in different positions during a real 11v11 game? A pilot study
Authors: Ballet Charles , Barreto Joana , Hope Edward , Casanova Filipe
Published: December 2023

Background Visual perception has been defined as the first step to a football player’s decision-making process and it plays an important role in performance in sport. The skill of focussing to prioritize relevant cues has been also considered crucial in sport. This pilot study aims to explore the visual behaviour and attentional effort of three football players (mean age 19 ± 0 years old) in specific-role positions; Right-winger (RW), Centre-Midfielder (CM) and Left-Back (LB), in the five seconds before receiving the ball from their teammate. Methods Twenty-two male football players performed an 11v11 game, where 24 game sequences (trials) from which 166 fixations were recorded and analysed via the Tobii Pro eye-movement registration glasses and software. The gaze behaviour dependent variables were the mean of fixation duration (FD), time to first fixation (TTF), both measured in milliseconds (ms), and the number of fixations (NF) on eight areas of interest (AOIs). AOIs include teammate with and without the ball, opponent without the ball, space around teammate with and without the ball, space around opponent without the ball, ball and undefined. The mean pupil diameter (PD) correlates to the attentional effort and was measured in millimetres (mm). Results Descriptive statistics showed nonregular search rate data between the participants in FD, TTF, NF on the AOIs. Mean FD on the ball: (CM, 270 ms), (RW, 570 ms), (CM, 380 ms). They also presented differences in the mean PD during play; (CM: 2.90 mm ± 0.26), (RW: 2.74 mm ± 0.30), (LB 2.77mm ± 0.27). Conclusions Albeit the sample size was small, the findings demonstrated a promising way to measure the on-field perceptual-cognitive abilities of football players according to their specific positions, since different playing roles revealed to present distinctive visual and attentional patterns. This could potentially assist in tailoring players ‘visual and focus training.
Demographic change and urban health: Towards a novel agenda for delivering sustainable and healthy cities for all
Authors: Duminy James , Ezeh Alex , Galea Sandro , Harpham Trudy , Montgomery Mark R. , Salas J. M. Ian , Weber Daniela , Weimann Amy , You Danzhen
Published: December 2023

The focus is on the demographic drivers and demographic implications of urban health and wellbeing in towns and cities across the globe. The aim is to identify key linkages between demographic change and urban health – subjects of two largely disparate fields of research and practice – with a view to informing arguments and advocacy for urban health while identifying research gaps and priorities. The core arguments are threefold. First, urban health advocates should express a globalized perspective on demographic processes, encompassing age-structural shifts in addition to population growth and decrease, and acknowledging their uneven spatial distributions within and between urban settings in different contexts. Second, advocates should recognize the dynamic and transformational effects that demographic forces will exert on economic and political systems in all urban settings. While demographic forces underpin the production of (intra)urban inequities in health, they also present opportunities to address those inequities. Third, a demographic perspective may help to extend urban health thinking and intervention beyond a biomedical model of disease, highlighting the need for a multi-generational view of the changing societal bases for urban health, and enjoining significant advances in how interested parties collect, manage, analyse, and use demographic data. Accordingly, opportunities are identified to increase the availability of granular and accurate data to enable evidence-informed action on the demographic/health nexus.
A high-throughput 3D X-ray histology facility for biomedical research and preclinical applications
Authors: Katsamenis Orestis L. , Basford Philip J. , Robinson Stephanie K. , Boardman Richard P. , Konstantinopoulou Elena , Lackie Peter M. , Page Anton , Ratnayaka J. Arjuna , Goggin Patricia M. , Thomas Gareth J. , Cox Simon J. , Sinclair Ian , Schneider Philipp
Published: December 2023

Background The University of Southampton, in collaboration with the University Hospital Southampton (UHS) NHS Foundation Trust and industrial partners, has been at the forefront of developing three-dimensional (3D) imaging workflows using X-ray microfocus computed tomography (μCT) -based technology. This article presents the outcomes of these endeavours and highlights the distinctive characteristics of a μCT facility tailored explicitly for 3D X-ray Histology, with a primary focus on applications in biomedical research and preclinical and clinical studies. Methods The UHS houses a unique 3D X-ray Histology (XRH) facility, offering a range of services to national and international clients. The facility employs specialised μCT equipment explicitly designed for histology applications, allowing whole-block XRH imaging of formalin-fixed and paraffin-embedded tissue specimens. It also enables correlative imaging by combining μCT imaging with other microscopy techniques, such as immunohistochemistry (IHC) and serial block-face scanning electron microscopy, as well as data visualisation, image quantification, and bespoke analysis. Results Over the past seven years, the XRH facility has successfully completed over 120 projects in collaboration with researchers from 60 affiliations, resulting in numerous published manuscripts and conference proceedings. The facility has streamlined the μCT imaging process, improving productivity and enabling efficient acquisition of 3D datasets. Discussion & Conclusions The 3D X-ray Histology (XRH) facility at UHS is a pioneering platform in the field of histology and biomedical imaging. To the best of our knowledge, it stands out as the world's first dedicated XRH facility, encompassing every aspect of the imaging process, from user support to data generation, analysis, training, archiving, and metadata generation. This article serves as a comprehensive guide for establishing similar XRH facilities, covering key aspects of facility setup and operation. Researchers and institutions interested in developing state-of-the-art histology and imaging facilities can utilise this resource to explore new frontiers in their research and discoveries.
Chrysotus capellarii sp. nov., the first species of longipalpus group from Colombia (Diptera: Dolichopodidae)
Authors: Soares Matheus Mickael Mota , Carvalho-Filho Fernando , Ramos-Pastrana Yardany
Published: December 2023

Chrysotus capellarii Soares & Carvalho-Filho sp. nov. is described and illustrated based on a single specimen collected in the department of Córdoba, Colombia, representing the first record of the longipalpus species group from the country (a photographic record is known from Costa Rica). The new species is easily recognized by the long palpus (about 2x longer than eye height) with a wide and oval apical lamella.
English contracted negation revisited: Evidence from varieties of Scots
Authors: Thoms Gary , Adger David , Heycock Caroline , Jamieson E , Smith Jennifer
Published: December 2023

Abstract: This article is concerned with the syntactic position of negation and how that connects to negation’s morphological realization and semantic and pragmatic effects. We focus on the case of contracted negation in English, which may appear both before and after the grammatical subject, and which has been classically analyzed as involving a single syntactic element placed by syntactic rule into distinct linear positions. We argue that this analysis is incorrect and that, in fact, there are multiple negations in English which are not related by a syntactic movement rule. We use the rich and complex morphosyntactic and semantico-pragmatic variation in the behavior of negation in varieties of Scots to motivate the argument and to develop a new approach that comes with both empirical and theoretical advantages.
GLOBAL GOVERNANCE:
The Twin Challenges of Economic
Inequality and Disinformation
Authors: Martin Lisa L.
Published: December 2023

Modern international interactions are structured by institutions of global governance,
both formal and informal. Most of these institutions are encompassed by the liberal international order. Like domestic institutions, these international institutions are challenged
by the prevalence and depth of disinformation. The demand for disinformation, in turn,
has been fed by the order’s lack of attention to growing domestic economic inequality.
Disinformation and inequality thus present twin challenges to global governance.
Mechanical method to reduce aberrations for a two-sided coating axisymmetric optical lens based on the specialized finite element method
Authors: Xu Long , Pei Yong-Chen , Wang Dongping , Wu Zhihui
Published: December 2023

Two-sided coated optical lenses are important in optical applications. A film-stress-induced aberration can adversely affect the lens performance. In this paper, a mechanical method has been developed to reduce this aberration. The proposed method uses a specialized finite element method with an easy modeling process and high versatility to analyze the impact of film parameters (including stress, the thickness, and the coating range) on aberrations under different lens geometric parameters. Theoretically, by selecting the property film parameters within the range of an application’s requirements can reduce the aberrations. The proposed method could reduce film-stress-induced aberrations to make the aberration compensation easier.
Polarization angle information enhancement method based on polarimetric array imaging
Authors: Shi Lei , Wang Xin , Pu Xiankun , Ma Yiming , Han Han , Gao Jun
Published: December 2023

Polarization imaging, based on the measurement of polarization parameters containing specific physical information, has found extensive applications across various domains. Among these parameters, polarization angle information plays a crucial role in revealing texture details. However, in practical scenarios, noise during image acquisition can lead to significant degradation of polarization angle information. To address this issue, we introduce a novel, to the best of our knowledge, polarization angle information enhancement method based on polarimetric array imaging. Our proposed method utilizes the principles of polarimetric array imaging to effectively restore texture information embedded within polarization angle images. Through the deployment of a self-designed polarimetric array imaging system, we conducted experiments in diverse scenes to validate the efficacy of our approach. The acquired polarization angle data were subjected to our method for enhancement. The experimental outcomes distinctly illustrate the noise suppression capabilities of our method, showcasing its ability to faithfully reconstruct intricate details obscured by substantial noise interference.
Simplified model for non-line-of-sight optical camera communication with a simple patterned reflective surface
Authors: He Zhengye , Chen Jian , Yu Changyuan
Published: December 2023

Most previous studies on non-line-of-sight optical camera communication (NLOS-OCC) were conducted as practical experiments; few relevant mathematical models have been proposed for simulation. This paper presents a simplified model for NLOS-OCC with a simple patterned reflective surface and proposes to directly decode the raw pixel values to improve the system performance. The model combines the mathematical models of a diffuse reflection channel and rolling shutter to obtain a normalized raw pixel value matrix of the pixel plane corresponding to the camera output image and realize visualization. Based on this model, we analyze the threshold selection and anti-interference ability of the conventional decoding scheme, and propose the sorting pre-decoding scheme: first sorting the pixel values by rows before decoding can effectively reduce the impact of the reflective surface pattern and enhance the system’s anti-interference ability.
P
T-symmetry breaking in dual-core phosphate-glass photonic crystal fibers
Authors: Longobucco Mattia , The Tai Le Xuan , Nguyen Viet Hung , Cimek Jarosław , Pałuba Bartosz , Buczyński Ryszard , Trippenbach Marek
Published: December 2023

We investigate the properties of a soft glass dual-core photonic crystal fiber for application in multicore waveguiding with balanced gain and loss. Its base material is a phosphate glass in a P2O5-Al2O3-Yb2O3-BaO-ZnO-MgO-Na2O oxide system. The separated gain and loss cores are realized with two cores with ytterbium and copper doping of the base phosphate glass. The ytterbium-doped core supports a laser (gain) activity under excitation with a pump at 1000 nm wavelength, while the CuO-doped is responsible for strong attenuation at the same wavelength. We establish conditions for an exact balance between gain and loss and investigate pulse propagation by solving a system of coupled generalized nonlinear Schrödinger equations. We predict two states of light under excitation with hyperbolic secant pulses centered at 1000 nm: 1) linear oscillation of the pulse energy between gain and loss core (PT-symmetry state), with strong power attenuation; 2) retention of the pulse in the excited gain core (broken PT-symmetry), with very modest attenuation. The optimal pulse energy levels were identified to be 100 pJ (first state) and 430 pJ (second state).
Accurate piecewise centroid calculation algorithm for wavefront measurement in adaptive optics
Authors: Gao Yufeng , Xiang Feng , Yu Jia , Wu Ting , Liao Jiuling , Li Hui , Ye Shiwei , Zheng Wei
Published: December 2023

Adaptive optics using direct wavefront sensing (direct AO) is widely used in two-photon microscopy to correct sample-induced aberrations and restore diffraction-limited performance at high speeds. In general, the direct AO method employs a Sharked-Hartman wavefront sensor (SHWS) to directly measure the aberrations through a spot array. However, the signal-to-noise ratio (SNR) of spots in SHWS varies significantly within deep tissues, presenting challenges for accurately locating spot centroids over a large SNR range, particularly under extremely low SNR conditions. To address this issue, we propose a piecewise centroid calculation algorithm called GCP, which integrates three optimal algorithms for accurate spot centroid calculations under high-, medium-, and low-SNR conditions. Simulations and experiments demonstrate that the GCP can accurately measure aberrations over a large SNR range and exhibits robustness under extremely low-SNR conditions. Importantly, GCP improves the AO working depth by 150 µm compared to the conventional algorithm.
The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning
Authors: Park Heesun , Doh Hoyoung , Lee Eunhwi , Park Harhim , Ahn Woo-Young
Published: December 2023

Research suggests that a fast, capacity-limited working memory (WM) system and a slow, incremental reinforcement learning (RL) system jointly contribute to instrumental learning. Thus, situations that strain WM resources alter instrumental learning: under WM loads, learning becomes slow and incremental, the reliance on computationally efficient learning increases, and action selection becomes more random. It is also suggested that Pavlovian learning influences people’s behavior during instrumental learning by providing hard-wired instinctive responses including approach to reward predictors and avoidance of punishment predictors. However, it remains unknown how constraints on WM resources affect instrumental learning under Pavlovian influence. Thus, we conducted a functional magnetic resonance imaging (fMRI) study (N = 49) in which participants completed an instrumental learning task with Pavlovian–instrumental conflict (the orthogonalized go/no-go task) both with and without extra WM load. Behavioral and computational modeling analyses revealed that WM load reduced the learning rate and increased random choice, without affecting Pavlovian bias. Model-based fMRI analysis revealed that WM load strengthened RPE signaling in the striatum. Moreover, under WM load, the striatum showed weakened connectivity with the ventromedial and dorsolateral prefrontal cortex when computing reward expectations. These results suggest that the limitation of cognitive resources by WM load promotes slow and incremental learning through the weakened cooperation between WM and RL; such limitation also makes action selection more random, but it does not directly affect the balance between instrumental and Pavlovian systems.
Information maximization-based clustering of histopathology images using deep learning
Authors: Rumman Mahfujul Islam , Ono Naoaki , Ohuchida Kenoki , Altaf-Ul-Amin MD. , Huang Ming , Kanaya Shigehiko
Published: December 2023

Pancreatic cancer is one of the most adverse diseases and it is very difficult to treat because the cancer cells formed in the pancreas intertwine themselves with nearby blood vessels and connective tissue. Hence, the surgical procedure of treatment becomes complicated and it does not always lead to a cure. Histopathological diagnosis is the usual approach for cancer diagnosis. However, the pancreas remains so deep inside the body that experts sometimes struggle to detect cancer in it. Computer-aided diagnosis can come to the aid of pathologists in this scenario. It assists experts by supporting their diagnostic decisions. In this research, we carried out a deep learning-based approach to analyze histopathology images. We collected whole-slide images of KPC mice to implement this work. The pancreatic abnormalities observed in KPC mice develop similar histological features to human beings. We created random patches from whole-slide images. Then, a convolutional autoencoder framework was used to embed these patches into an integrated latent space. We applied ‘information maximization’, a deep learning clustering technique to cluster the identical patches in an unsupervised manner since our dataset does not have annotation. Moreover, Uniform manifold approximation and projection, a nonlinear dimension reduction technique was utilized to visualize the embedded patches in a 2-dimensional space. Finally, we calculated a few internal cluster validation metrics to determine the optimal cluster set. Our work concentrated on patch-based anomaly detection in the whole slide histopathology images of KPC mice.
Prevalence of cystic echinococcosis in relatives of patients undergoing surgery for hepatic cystic echinococcosis in an endemic region
Authors: Manterola Carlos , Rivadeneira Josue , Rojas Claudio , Otzen Tamara
Published: December 2023

Background

Cystic echinococcosis (CE) is an endemic disease in southern Chile. The aim of this study was to ascertain the prevalence of CE among relatives of patients who underwent surgical intervention for this disease in Cautín, a province of southern Chile.

Methodology/principal findings

Cross-sectional study. Relatives of patients who underwent surgery for hepatic echinococcosis (HE), who lived at the same address, during the period 2000–2020 were studied. A total of 288 relatives of 322 patients who underwent surgery for HE participated in a CE screening. All these relatives were interviewed and underwent abdominal ultrasonography, chest X-ray and immunodiagnostic studies (relatives who had been diagnosed with or had undergone surgery for CE were excluded). Descriptive statistics were applied. Prevalence calculation, odds ratio (OR), and their respective 95% confidence intervals (95% CI) were determined. Abdominal or thoracic CE was verified in 42 relatives of subjects operated on for HE (mean age 41±8 years; 73.8% women; 38.1% of cases had two or more cysts), all of them new and asymptomatic cases. CE was detected in the lungs, liver, peritoneum, and spleen in 16.7%; 71.4%; 7.1%; and 4.8%, respectively. The overall prevalence of EQ during the studied time period was 14,6% (17.9% and 12.3% in relatives of first and second degree respectively (OR:1.56; CI 95%: 0.81; 3.01).

Conclusion/significance

There is a high prevalence of CE in relatives of patients undergoing surgery by this disease in the province of Cautín, Chile.
Research on customer churn prediction and model interpretability analysis
Authors: Peng Ke , Peng Yan , Li Wenguang
Published: December 2023

In recent years, with the continuous improvement of the financial system and the rapid development of the banking industry, the competition of the banking industry itself has intensified. At the same time, with the rapid development of information technology and Internet technology, customers’ choice of financial products is becoming more and more diversified, and customers’ dependence and loyalty to banking institutions is becoming less and less, and the problem of customer churn in commercial banks is becoming more and more prominent. How to predict customer behavior and retain existing customers has become a major challenge for banks to solve. Therefore, this study takes a bank’s business data on Kaggle platform as the research object, uses multiple sampling methods to compare the data for balancing, constructs a bank customer churn prediction model for churn identification by GA-XGBoost, and conducts interpretability analysis on the GA-XGBoost model to provide decision support and suggestions for the banking industry to prevent customer churn. The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. The GA-XGBoost classifier was identified as the best solution for the customer churn problem. (3) Using Shapley values, we explain how each feature affects the model results, and analyze the features that have a high impact on the model prediction, such as the total number of transactions in the past year, the amount of transactions in the past year, the number of products owned by customers, and the total sales balance. The contribution of this paper is mainly in two aspects: (1) this study can provide useful information from the black box model based on the accurate identification of churned customers, which can provide reference for commercial banks to improve their service quality and retain customers; (2) it can provide reference for customer churn early warning models of other related industries, which can help the banking industry to maintain customer stability, maintain market position and reduce corporate losses.
An investigation of financial openness, trade openness, gross capital formation, urbanization, financial development, education and energy nexus in BRI: Evidence from the symmetric and asymmetric framework
Authors: Tan Yan , Qamruzzaman Md. , Karim Salma
Published: December 2023

Clean energy development can bring numerous benefits, such as decreased greenhouse gas emissions, improved air quality, and increased job opportunities in the green industry. These advantages can be achieved through the collaborative efforts of all stakeholders involved. Ultimately, adopting clean energy can lead to a healthier planet and economy. Energy availability and scarcity influence the aggregated economy. The present study explores the interrelationships between financial openness, trade openness, gross capital formation, urbanization, financial development, education, and energy within the Belt and Road Initiative (BRI) nations. A panel of 56 nations has considered empirical investigation for 2002–2020. The coefficients extracted from CS-ARDL revealed a catalyst role of openness in the energy mix, especially the inclusion of clean energy both in the long run and short. The asymmetric evaluation revealed that positive negative shocks in openness lead to a positive association with energy consumption. Moreover, the asymmetric association was also exposed through the execution of a standard Wald test. The study findings show that FO, TO, and GCF are critical in energy sustainability in BRI nations. It implies that clean energy inclusion in the energy mix might be amplified, and energy sustainability may be ensured. The energy transition of Belt and Road Initiative (BRI) nations is significantly affected by financial, trade, and domestic capital adequacy. The success of sustainable energy policies is determined by several factors, which play a crucial role in countries participating in BRI projects; the findings provide insight into the complex interdependencies among the variables above and their effects on the energy dynamics within the BRI region. Furthermore, the research findings hold considerable significance for policymakers as they offer valuable insights into the possible synergies and trade-offs among these factors that can facilitate sustainable energy transitions in the BRI economies.
Assessing the impact of the Gamma variant on COVID-19 patient admissions in a southern Brazilian tertiary hospital—A comparison of dual pandemic phases
Authors: Domino Natalia R. , Lapinscki Bruna A. , Zhen Felipe , Yamaguto Guilherme , Costa Emanueli C. S. , Moriya Vitor L. , Pereira Luciane A. , Petterle Ricardo , Nogueira Meri B. , Raboni Sonia M.
Published: December 2023

Since the first case of COVID-19, Brazil has undergone infection waves with distinct characteristics. The description of new variants has alerted the emergence of more contagious or virulent viruses. The variant of concern Gamma emerged in Brazil and caused an epidemic wave, but its spread outside the country was limited. We report the clinical-epidemiological profile of hospitalized patients with COVID-19 by comparing two periods. A retrospective cohort study was performed. The primary outcome was to assess individuals with COVID-19 admitted in wards and intensive care units at the academic hospital of the Federal University of Parana (CHC-UFPR) between March 2020 and July 2021, correlating demographic, clinical-epidemiologic, and survival data with the most prevalent viral variant found in each period. We used Kaplan-Meier analysis to estimate the probability of survival and ROC curves to evaluate laboratory tests to find a cutoff point for poor outcomes. Data from 2,887 individuals were analyzed, 1,495 and 1,392 from the first and second periods, respectively. Hospitalization predominated among males in both periods, and the median age was significantly lower in the second one. The frequency of comorbidities was similar. Various demographic factors, clinical assessments, and laboratory tests were examined in relation to greater severity. When comparing the two periods, we observed predominance of the Wild virus during the first wave and the Gamma variant during the second, with no significant difference in outcomes. The findings suggest that despite the association of many factors with increased severity, the temporal variation between the two periods did not result in a notable divergence in the measured outcomes. The COVID-19 pandemic has lasted for a long time, with periods marked by peaks of cases, often caused by the emergence of viral variants, resulting in higher infection rates and rapid dissemination but, for variant Gamma, no apparent greater virulence.
Simplifying phrases in depression screens: Interpreters’ views on usefulness in six languages
Authors: Vanhatalo Ulla , Lindholm Camilla
Published: December 2023

Assessments and treatments of mental health conditions such as depression use language that may be difficult to understand or translate. Here, we studied how interpreters assessed the usefulness of simplifying the language of a depression screen. Two alternative versions of the PRIME-MD PHQ depression screen were generated, with increasing linguistic simplicity. All the versions (standard, moderately simplified and most simplified) were translated from Finnish into Arabic, English, Farsi, Russian, and Swedish. Ten professional interpreters then assessed the different usefulness aspects of the three versions. The interpreters’ perceptions of usefulness of the different language versions for clients varied, and both simplified versions of the depression screen were commonly considered useful for interpreting contexts. The usefulness of the simplified language versions was seen as especially important for clients with multiple linguistic challenges, caused by, for example, dementia and immigration backgrounds. The language of depression screens can be greatly simplified. Simplified versions may significantly improve the accessibility of questionnaires for the wide range of individuals with compromised language competence. Simplified versions may also be helpful for inter-language interpreting in health care, and importantly, they may facilitate the transparency and cross-cultural calibration needed in evidence-based medicine.
Variability in radiocesium activity concentration in growing hardwood shoots in Fukushima, Japan
Authors: Itô Hiroki , Miura Satoru , Komatsu Masabumi , Kanasashi Tsutomu , Nagakura Junko , Hirai Keizo
Published: December 2023

The radiocesium contamination caused by the Fukushima Daiichi Nuclear Power Plant accident has made it difficult to use coppice woods as bed logs for mushroom cultivation. Evaluating the variability in the radiocesium activity concentration of logs is necessary in order to predict how many coppice woodlands are available for producing mushroom bed logs. To clarify the variability in radiocesium activity concentrations and to estimate the sample size required to estimate these concentrations with sufficient accuracy, we modeled the log-transformed radiocesium activity concentrations in growing shoots of hardwoods. We designed two models: (1) a model with mean concentrations that varied among stands with a standard deviation that was the same among stands, and (2) a model with varying means and standard deviations. We fit the data pertaining to onlyQuercus serratato both models and calculated the widely applicable information criterion values. Consequently, we adopted the simpler model (1). Applying the selected model to data for all species, we examined the relationship between the number of measurement individuals and the predictive distribution of the expected concentration. Based on previous recommendations and measurement costs, we proposed that five individuals would be appropriate for estimating radiocesium activity concentration in a stand.