bluuebunny/crossref_metadata_2025 huggingface dataset:
Determinants of pressure injury development in patients with COVID-19
Authors: Kilmer Lee H , Samuel Ankita , Forster Grace L , Stranix John T , Black Jonathan S , Campbell Christopher A , DeGeorge Brent R
Published: March 2024

Objective:

Pressure injuries (PIs) often develop in critically ill patients due to immobility, and underlying comorbidities that decrease tissue perfusion and wound healing capacity. This study sought to provide epidemiological data on determinants and current managements practices of PI in patients with COVID-19.

Method:

A US national insurance-based database consisting of patients with coronavirus or COVID-19 diagnoses was used for data collection. Patients were filtered by International Classification of Diseases (ICD) codes corresponding to coronavirus or COVID-19 diagnosis between 2019–2020. Diagnosis of PI following COVID-19 diagnosis was queried. Demographic data and comorbidity information was compared. Logistic regression analysis was used to determine predictors for both PI development and likelihood of operative debridement.

Results:

A total of 1,477,851 patients with COVID-19 were identified. Of these, 15,613 (1.06%) subsequently developed a PI, and 8074 (51.7%) of these patients had an intensive care unit (ICU) admission. The average and median time between diagnosis of COVID-19 and PI was 39.4 and 26 days, respectively. PI was more likely to occur in patients with COVID-19 with: diabetes (odds ratio (OR): 1.39, 95% confidence interval (CI): 1.29–1.49; p<0.001); coronary artery disease (OR: 1.11, 95% CI: 1.04-1.18, p=0.002), hypertension (OR: 1.43, 95% CI: 1.26–1.64; p<0.001); chronic kidney disease (OR: 1.18, 95% CI: 1.10–1.26; p<0.001); depression (OR: 1.45, 95% CI 1.36–1.54; p<0.001); and long-term non-steroidal anti-inflammatory drug use (OR: 1.21, 95% CI: 1.05–1.40; p=0.007). They were also more likely in critically ill patients admitted to the ICU (OR: 1.40, 95% CI: 1.31–1.48; p<0.001); and patients requiring vasopressors (OR:1.25, 95% CI: 1.13–1.38; p<0.001), intubation (OR: 1.21, 95% CI 1.07–1.39; p=0.004), or with a diagnosis of sepsis (OR: 2.38, 95% CI 2.22–2.55; p<0.001). ICU admission, sepsis, buttock and lower back PI along with increasing Charlson Comorbidity Index (CCI) (OR: 1.04, 95% CI 1.00–1.08; p=0.043) was associated with surgical debridement. The vast majority of patients with COVID-19 did not undergo operative debridement or wound coverage.

Conclusion:

PIs are widely prevalent in patients with COVID-19, especially in those who are critically ill, yet the vast majority do not undergo operative procedures.

Declaration of interest:

The authors have no conflicts of interest to declare.
Surface profile measurement and parameter analysis of silicon wafers in the upright state
Authors: Yang Ying , Han Sen , Zhang Ling-Hua , Shen Yu-Hang , Xu Chun-Feng
Published: March 2024

A novel approach, to the best of our knowledge, is presented for assessing silicon wafer surface profiles using an interferometer and vertically rotatable wafer holder. This approach significantly enhances precision and reduces costs, and outperforms traditional techniques in measurement consistency and accuracy. It effectively reduces sample distortion and positional shifts owing to the removal and reinstallation of the wafers. Using this method, a global backsurface-referenced ideal range of 0.385 µm, warp of 0.193 µm, and other parameters were obtained, demonstrating its practicality in efficiently capturing key surface profile metrics for silicon wafers. This innovation promises substantial improvements in high-volume wafer surface profile testing, overcoming prevalent technological challenges in this industry.
Optical reciprocity-nonreciprocity-amplification conversion based on degenerate four-wave mixing
Authors: Song Dan , Li Xin , Zhou Hai-Tao , Xue Jing-Jing , Li Ruo-Nan , Wang Dan , Yang Bao-Dong , Zhang Jun-Xiang
Published: March 2024

Optical nonreciprocity plays an important role in optical communication and quantum networks. In this research, we propose and demonstrate a conversion scheme of magnetic-free dual-channel optical reciprocal amplification (RA) and nonreciprocal amplification (NRA) based on the multiple degenerate four-wave mixing (FWM) process in hot atoms. In our experiment, the dual-channel NRA works with the action of a single pump field based on the establishment of FWM in the same direction and breaking in the opposite direction. Based on stable ground-state Zeeman coherence, by introducing a counter-propagating pump field again, NRA can be changed to RA in the opposite direction of the two original amplified conjugate signals. Moreover, the frequencies of RA signals are very dependent on those of co-propagating pump fields. The experimental realization of NRA-RA conversion may have applications for multichannel angular momentum spatial multiplexing and quantum gate manipulation.
Dynamic three-dimensional deformation measurement by polarization-multiplexing of full complex amplitude
Authors: Du Yijun , Li Junxiang , Fan Chen , Yang Xingyu , Zhao Zixin , Zhao Hong
Published: March 2024

This paper provides an extensive discussion of a complex amplitude-based dynamic three-dimensional deformation measurement method, in which the phase and amplitude of the speckle field are used for out-of-plane and in-plane deformation calculation respectively. By determining the optimal polarization states of the speckle field and reference field from the comprehensive analysis of measurement mathematical model in the principle of polarization multiplexing, the 3-step phase-shifting interferograms and one speckle gram can be directly recorded by a polarization camera in a single shot. The out-of-plane deformation would be recovered from the subtraction of speckle phases that are demodulated by a special least square algorithm; speckle gram with improved quality is offered for correlation computation to obtain in-plane deformation. The advancement and significance of the optimized strategy are intuitively demonstrated by comparing the measurement accuracy under different combinations of polarization states. Finally, the dynamic thermal deformation experiment reveals the potential in practical real-time applications.
On the spectral response of a taiji-CROW device
Authors: Aslan Bülent , Franchi Riccardo , Biasi Stefano , Ali Salamat , Pavesi Lorenzo
Published: March 2024

Physical systems with topological properties are robust against disorder. However, implementing them in integrated photonic devices is challenging because of the various fabrication imperfections and/or limitations that affect the spectral response of their building blocks. One such feature is strong backscattering due to the surface wall roughness of the waveguides, which can flip the propagating modes to counterpropagating modes and destroy the desired topological behavior. Here, we report a study on modeling, designing and testing an integrated photonic structure based on a sequence of two taiji microresonators coupled with a middle link microresonator (a taiji-CROW device, where CROW stands for coupled resonator optical waveguides). Our study provides design constraints to preserve the ideal operation of the structure by quantifying a minimum ratio between the coupling coefficients and the backscattering coefficients. This ratio is valuable to avoid surface roughness problems in designing topological integrated photonic devices based on arrays of microresonators.
Bifunctional interfacial engineering enabled efficient and stable carbon-based CsPbIBr2 perovskite solar cells
Authors: Li Qinghua , Li Wenjing , Lan Zhang , Wu Jihuai , Liu Xuping , Wang Deng
Published: March 2024

Carbon-based inorganic CsPbIBr2 perovskite solar cells (C-IPSC) have attracted widespread attention due to their low cost and excellent thermal stability. Unfortunately, due to the soft ion crystal nature of perovskite, inherent bulk defects and energy level mismatch at the CsPbIBr2/carbon interface limit the performance of the device. In this study, we introduced aromatic benzyltrimethylammonium chloride (BTACl) as a passivation layer to passivate the surface and grain boundaries of the CsPbIBr2 film. Due to the reduction of perovskite defects and better energy level arrangement, carrier recombination is effectively suppressed and hole extraction is improved. The champion device achieves a maximum power conversion efficiency (PCE) of 11.30% with reduces hysteresis and open circuit voltage loss. In addition, unencapsulated equipment exhibits excellent stability in ambient air.
Coherent detection of the rotational Doppler effect measurement based on triple Fourier transform
Authors: Yan Hongyu , Fan Yaohui , Huang Ziyan , Tang Ruoyu , Ma Shuyu , Lei Yu , Ding You , Zhu Xiangyang , Liu Tong , Liu Zhengliang , Ren Yuan
Published: March 2024

In recent years, the rotational Doppler effect (RDE) has been widely used in rotational motion measurement. However, the performance of existing detection systems based on the RDE are generally limited by the drastic reduction of signal-to-noise ratio (SNR) due to the influence of atmospheric turbulence, partial obscuration of the vortex beam (VB) during propagation, and misalignment between the optical axis of VB and the rotational axis of the object, which poses a challenge for practical applications. In this paper, we proposed a coherent detection method of the RDE measurement based on triple Fourier transform. First, the weak RDE signal in backscattered light is amplified by using the balanced homodyne detection method, and the amplified signal still retains the same characteristic of severe broadening in the frequency domain as the original signal. Furthermore, we proposed the triple Fourier transform to extract the broadened RDE frequency shift signal after the coherent amplification. The proposed method significantly improves the SNR of RDE measurement and facilitates the accurate extraction of rotational speed, which helps to further improve the RDE detection range and promote its practical application.
Buildup and synchronization regimes of a vector pure-quartic soliton molecule in a fiber laser cavity
Authors: He Chaojian , Zhu Zhiwei , Yang Song , Wang Nan , Yang Yingying , Lin Xuechun
Published: March 2024

Pure-quartic solitons (PQSs) have recently received increasing attention due to their energy-width scaling over the traditional soliton, which has expanded our understanding of soliton dynamics with high-order dispersion in nonlinear systems. Here, we numerically reveal the asynchronization and synchronization processes of the sub-pulse within the vector PQS molecule in a mode-locked fiber laser by solving the coupled Ginzburg-Landau equations. During the establishment of a vector PQS molecule, the repulsion, attraction, and finally stabilization processes have been observed. Specifically, sub-pulse disappearance, regeneration, and finally synchronization with the other pulses are also investigated. Our analysis of the pulse energy, time interval, and relative phase evolution dynamics with the round trip indicates that the asynchronization and synchronization within the vector PQS molecule associate tightly with the gain competition and the cross-phase modulation. Our findings provide insights into the internal mutual dynamics within the vector soliton molecule and offer guidance for the applications of PQS.
Co-LSTM-based fiber link modeling with ASE noise tracking for long-haul coherent optical transmission
Authors: Zheng Jiayu , Zhang Tianhong , Zhang Fan
Published: March 2024

In this Letter, a novel, to the best of our knowledge, channel modeling scheme based on cascading chromatic dispersion-nonlinearity feature decoupling modules is proposed with the center-oriented long short-term memory (Co-LSTM) network structure adopted for modeling nonlinearity of each optical fiber span. By tracking the amplified spontaneous emission (ASE) noise at the output of each fiber span, the Co-LSTM-based channel modeling scheme achieves high waveform accuracy for long-haul coherent optical transmission compared with the conventional split-step Fourier transform method (SSFM) while saving calculation time by almost one order of magnitude.
Silicon-based optical phased array with a reconfigurable aperture for “gaze” scanning of LiDAR
Authors: Hu Heming , He Yafang , Chen Baisong , Wang Ziming , Li Yingzhi , Xie Qijie , Na Quanxin , Zhi Zihao , Li Xuetong , Qu Huan , Lo Patrick , Song Junfeng
Published: March 2024

Light detection and ranging (LiDAR) serves as one of the key components in the fields of autonomous driving, surveying mapping, and environment detection. Conventionally, dense points clouds are pursued by LiDAR systems to provide high-definition 3D images. However, the LiDAR is typically used to produce abundant yet redundant data for scanning the homogeneous background of scenes, resulting in power waste and excessive processing time. Hence, it is highly desirable for a LiDAR system to “gaze” at the target of interest by dense scanning and rough sparse scans on the uninteresting areas. Here, we propose a LiDAR structure based on an optical phased array (OPA) with reconfigurable apertures to achieve such a gaze scanning function. By virtue of the cascaded optical switch integrated on the OPA chip, a 64-, 128-, 192-, or 256-channel antenna can be selected discretionarily to construct an aperture with variable size. The corresponding divergence angles for the far-field beam are 0.32°, 0.15°, 0.10°, and 0.08°, respectively. The reconfigurable-aperture OPA enables the LiDAR system to perform rough scans via the large beam spots prior to fine scans of the target by using the tiny beam spots. In this way, the OPA-based LiDAR can perform the “gaze” function and achieve full-range scanning efficiently. The scanning time and power consumption can be reduced by 1/4 while precise details of the target are maintained. Finally, we embed the OPA into a frequency-modulated continuous-wave (FMCW) system to demonstrate the “gaze” function in beam scanning. Experiment results show that the number of precise scanning points can be reduced by 2/3 yet can obtain the reasonable outline of the target. The reconfigurable-aperture OPA (RA-OPA) can be a promising candidate for the applications of rapid recognition, like car navigation and robot vision.
Mechanistic insights into ligand dissociation from the SARS-CoV-2 spike glycoprotein
Authors: Hasse Timothy , Mantei Esra , Shahoei Rezvan , Pawnikar Shristi , Wang Jinan , Miao Yinglong , Huang Yu-ming M.
Published: March 2024

The COVID-19 pandemic, driven by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spurred an urgent need for effective therapeutic interventions. The spike glycoprotein of the SARS-CoV-2 is crucial for infiltrating host cells, rendering it a key candidate for drug development. By interacting with the human angiotensin-converting enzyme 2 (ACE2) receptor, the spike initiates the infection of SARS-CoV-2. Linoleate is known to bind the spike glycoprotein, subsequently reducing its interaction with ACE2. However, the detailed mechanisms underlying the protein-ligand interaction remain unclear. In this study, we characterized the pathways of ligand dissociation and the conformational changes associated with the spike glycoprotein by using ligand Gaussian accelerated molecular dynamics (LiGaMD). Our simulations resulted in eight complete ligand dissociation trajectories, unveiling two distinct ligand unbinding pathways. The preference between these two pathways depends on the gate distance between two α-helices in the receptor binding domain (RBD) and the position of the N-linked glycan at N343. Our study also highlights the essential contributions of K417, N121 glycan, and N165 glycan in ligand unbinding, which are equally crucial in enhancing spike-ACE2 binding. We suggest that the presence of the ligand influences the motions of these residues and glycans, consequently reducing accessibility for spike-ACE2 binding. These findings enhance our understanding of ligand dissociation from the spike glycoprotein and offer significant implications for drug design strategies in the battle against COVID-19.
Temperature impacts on dengue incidence are nonlinear and mediated by climatic and socioeconomic factors: A meta-analysis
Authors: Kirk Devin , Straus Samantha , Childs Marissa L. , Harris Mallory , Couper Lisa , Davies T. Jonathan , Forbes Coreen , Gehman Alyssa-Lois , Groner Maya L. , Harley Christopher , Lafferty Kevin D. , Savage Van , Skinner Eloise , O’Connor Mary , Mordecai Erin A.
Published: March 2024

Temperature can influence mosquito-borne diseases like dengue. These effects are expected to vary geographically and over time in both magnitude and direction and may interact with other environmental variables, making it difficult to anticipate changes in response to climate change. Here, we investigate global variation in temperature–dengue relationship by analyzing published correlations between temperature and dengue and matching them with remotely sensed climatic and socioeconomic data. We found that the correlation between temperature and dengue was most positive at intermediate (near 24°C) temperatures, as predicted from an independent mechanistic model. Positive temperature–dengue associations were strongest when temperature variation and population density were high and decreased with infection burden and rainfall mean and variation, suggesting alternative limiting factors on transmission. Our results show that while climate effects on diseases are context-dependent they are also predictable from the thermal biology of transmission and its environmental and social mediators.
Cis-regulatory polymorphism at fiz ecdysone oxidase contributes to polygenic evolutionary response to malnutrition in Drosophila
Authors: Cavigliasso Fanny , Savitsky Mikhail , Koval Alexey , Erkosar Berra , Savary Loriane , Gallart-Ayala Hector , Ivanisevic Julijana , Katanaev Vladimir L. , Kawecki Tadeusz J.
Published: March 2024

We investigate the contribution of a candidate gene, fiz (fezzik), to complex polygenic adaptation to juvenile malnutrition in Drosophila melanogaster. Experimental populations maintained for >250 generations of experimental evolution to a nutritionally poor larval diet (Selected populations) evolved several-fold lower fiz expression compared to unselected Control populations. Here we show that this divergence in fiz expression is mediated by a cis-regulatory polymorphism. This polymorphism, originally sampled from a natural population in Switzerland, is distinct from a second cis-regulatory SNP previously identified in non-African D. melanogaster populations, implying that two independent cis-regulatory variants promoting high fiz expression segregate in non-African populations. Enzymatic analyses of Fiz protein expressed in E. coli demonstrate that it has ecdysone oxidase activity acting on both ecdysone and 20-hydroxyecdysone. Four of five fiz paralogs annotated to ecdysteroid metabolism also show reduced expression in Selected larvae, implying that malnutrition-driven selection favored general downregulation of ecdysone oxidases. Finally, as an independent test of the role of fiz in poor diet adaptation, we show that fiz knockdown by RNAi results in faster larval growth on the poor diet, but at the cost of greatly reduced survival. These results imply that downregulation of fiz in Selected populations was favored by selection on the nutritionally poor diet because of its role in suppressing growth in response to nutrient shortage. However, they suggest that fiz downregulation is only adaptive in combination with other changes evolved by Selected populations, which ensure that the organism can sustain the faster growth promoted by fiz downregulation.
Co-existence of maternal overweight/obesity, child undernutrition, and anaemia among mother-child pairs in Ethiopia
Authors: Sahiledengle Biniyam , Mwanri Lillian , Petrucka Pammla , Tadesse Hiwot , Agho Kingsley Emwinyore
Published: March 2024

Ethiopia is currently known to be the most food-insecure country in sub-Saharan Africa, where childhood undernutrition remains endemic. While attention is increasingly being paid to childhood undernutrition in Ethiopia, a current surge of "triple burden of malnutrition" (TBM) has received less attention. The purpose of this study was to determine the prevalence of TBM and identify the associated factors in Ethiopia. Data were from the Ethiopian Demographic and Health Surveys (2005–2016) and a total of 20,994 mother-child pairs were examined in this study. The TBM was our primary outcome variable, which encompasses three types of nutritional problems-when a mother may be overweight/obese, while her child is stunted, wasted, or underweight plus has anaemia under the same roof. A multilevel logistic regression explored the individual- and community-level factors associated with TBM. Our study indicated that children under-five years of age were anaemic, stunted, wasted, and underweight [49.3% (95% CI: 48.7–49.9), 43.1% (95% CI: 42.4–43.7), 10.3% (95% CI: 9.9–10.7), and 27.6% (95% CI: 27.0–28.1)] respectively. The overall prevalence of TBM was 2.6% (95% CI: 2.39–2.83). Multilevel analyses revealed that TBM was more likely to occur among children aged 12–23 months (AOR: 2.54, 95% CI: 1.68–3.83), 24–35 months (AOR: 1.54, 95% CI: 1.03–2.29), children perceived by their mothers to be smaller than normal at birth (AOR: 1.94, 95% CI: 1.48–2.56), who experienced fever in the past 2 weeks (AOR: 1.58, 95% CI: 1.24–2.01), and lived in urban settings (AOR: 1.79, 95% CI: 1.13–2.86). Lower odds of TBM were reported among female children (AOR: 0.59, 95% CI: 0.47–0.72), and those who lived in rich households (AOR: 0.69: 95% CI: 0.49–0.98). TBM was found to be present in almost three percent of households in Ethiopia. Addressing the TBM through double-duty actions will be of critical importance in achieving malnutrition in all its forms in Ethiopia.
Questioning the “Ease” in disease: Was living with HIV a burden or boost during the first wave of Covid-19 in France? A qualitative study (COVIDHIV)
Authors: Roucoux Guillaume , Thonon Frédérique , Zucman David , Rey David , Abgrall Sophie , Eriksson Lars E. , Préau Marie , Michels David , Chéret Antoine , Duracinsky Martin
Published: March 2024

Introduction

Clinical research has focused on risk factors and treatment for severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), particularly in people with a comorbidity including the human immunodeficiency virus (HIV), but little attention has been paid to the care pathway. This article aims to show how living with HIV may have been a biopsychosocial burden or boost in care pathways for Covid-19.

Method

People living with HIV (PLHIV) from 9 clinical centers were invited to participate in this qualitative study. The sampling was purposive with a maximum variation in their sociodemographic profiles. Semi-structured interviews were conducted until data saturation, then coded for thematic analysis, using an inductive general approach.

Results

We interviewed 34 PLHIV of which 20 had SARS-COV-2 once. They were 24 males, 26 born in France; median age: 55. Twenty had a CD4 number above 500, and all were on antiretroviral therapy (ART). HIV appeared as a burden when Covid-19 symptoms reminded HIV seroconversion, fear of contamination, and triggered questions about ART effectiveness. HIV was not considered relevant when diagnosing Covid-19, caused fear of disclosure when participants sought SARS-COV-2 testing, and its care in hospitals was disrupted by the pandemic. ART-pill fatigue caused avoidance for Covid-19 treatment. As a boost, living with HIV led participants to observe symptoms, to get advice from healthcare professionals, and screening access through them. Some participants could accept the result of screening or a clinical diagnosis out of resilience. Some could consider ART or another drug prescribed by their HIV specialist help them to recover from Covid-19.

Conclusion

Living with HIV could function as a burden and/or a boost in the care pathways for Covid-19, according to patients’ relationship to their HIV history, comorbidities and representation of ART. Covid-19 in PLHIV needs further qualitative study to gain a more comprehensive assessment of the pandemic’s consequences on their lives and coping strategies.
The impact of consumer preferences on the evolution of competition in China’s automobile market under the Dual Credit Policy—A density game based perspective
Authors: Xie Ying , Wu Jie , Zhou Xiao , Sheng Yongxiang
Published: March 2024

The evolution of the automobile market is a macro-expression of the behavior of automakers’ production decisions. This study examines the competitive environment between new energy vehicles (NEVs) and conventional fuel vehicles (CFVs) and develops a game-theoretical model incorporating consumer utility, automaker profit, and the competitive density of NEVs and CFVs. It aims to assess how consumers’ preferences for vehicle range and smart features influence automakers’ strategic decisions and the broader market evolution under the Dual Credit Policy. The findings indicate: (1) A low NEV credit price facilitates NEV market size growth, but this growth rate diminishes beyond a certain price threshold; (2) The lower the consumer’s range preference, the higher NEV credit price can accelerate the development of new energy vehicles to their saturation value. However, when consumers in the market prioritize smart features, increasing the NEV credit price does not significantly influence the growth of NEV market size. (3) Higher consumer preferences for both range and smart features, combined with increased NEV credit prices, can synergistically accelerate the speed of the NEV market to reach the saturation value and also raise the saturation value of the scale of NEVs. And higher consumer range preference combined with increased NEV credit prices has a more significant effect on the promotion of NEV market size than the combined effect of higher consumer smart preference and increased NEV credit prices. The actual data of China’s automobile market is used in the simulation of this model. The model and its simulation results effectively explain and reveal the evolutionary impacts of consumers’ range and smart feature preference on the promotion of China’s NEVs under the Dual Credit Policy to provide effective technological and theoretical support for the promotion of the sustainable development of China’s NEV industry.
Tongue feature dataset construction and real-time detection
Authors: Chang Wen-Hsien , Chen Chih-Chieh , Wu Han-Kuei , Hsu Po-Chi , Lo Lun-Chien , Chu Hsueh-Ting , Chang Hen-Hong
Published: March 2024

Background

Tongue diagnosis in traditional Chinese medicine (TCM) provides clinically important, objective evidence from direct observation of specific features that assist with diagnosis. However, the current interpretation of tongue features requires a significant amount of manpower and time. TCM physicians may have different interpretations of features displayed by the same tongue. An automated interpretation system that interprets tongue features would expedite the interpretation process and yield more consistent results.

Materials and methods

This study applied deep learning visualization to tongue diagnosis. After collecting tongue images and corresponding interpretation reports by TCM physicians in a single teaching hospital, various tongue features such as fissures, tooth marks, and different types of coatings were annotated manually with rectangles. These annotated data and images were used to train a deep learning object detection model. Upon completion of training, the position of each tongue feature was dynamically marked.

Results

A large high-quality manually annotated tongue feature dataset was constructed and analyzed. A detection model was trained with average precision (AP) 47.67%, 58.94%, 71.25% and 59.78% for fissures, tooth marks, thick and yellow coatings, respectively. At over 40 frames per second on a NVIDIA GeForce GTX 1060, the model was capable of detecting tongue features from any viewpoint in real time.

Conclusions/Significance

This study constructed a tongue feature dataset and trained a deep learning object detection model to locate tongue features in real time. The model provided interpretability and intuitiveness that are often lacking in general neural network models and implies good feasibility for clinical application.
CHAMPP4KIDS: Mixed methods study protocol to evaluate acceptability and feasibility of Parenting for Lifelong Health materials in a Canadian context
Authors: Gonzalez Andrea , Jack Susan M. , Sim Amanda , Ratcliffe Jenna , Dumbaugh Mari , Bennett Teresa , MacMillan Harriet L.
Published: March 2024

Background

Parents and caregivers play a key role in children’s healthy development and well-being. Traditional parenting interventions promote positive parenting practices and are key to preventing child maltreatment. However, numerous barriers can limit access to programs, barriers which were further exacerbated by the COVID-19 pandemic. The Parenting for Lifelong Health group developed mass media and public health communication materials to promote positive caregiving behaviours on a population level. The Champions of Positive Parenting 4 Kids (CHAMPP4KIDS) study will examine the acceptability and feasibility of these materials for service providers and caregivers of children aged 2–6 years in Ontario, Canada.

Methods

This study will use a convergent mixed-methods design. Consenting service providers (n = 200) and caregivers (n = 100) will complete a quantitative survey to rate, rank and give feedback on Parenting for Lifelong Health tip sheets and social media ads. Caregivers will also complete self-report scales measuring depression and anxiety. We will hold focus group discussions with a sub-sample of surveyed providers (n = 40) and caregivers (n = 25). An adapted Trials of Improved Practices methodology will explore caregiver perspectives after implementing the tip sheets. Primary quantitative outcomes will be descriptive statistics of rankings, Likert Scale scores and descriptive analysis of caregiver depression and anxiety. Qualitative data will be analyzed using Rapid Qualitative Inquiry and triangulated through a convergent coding matrix.

Discussion

The Parenting for Lifelong Health COVID-19 parenting materials offer succinct, engaging parenting information in a mass media format that addresses some challenges associated with accessing in-person programming. The CHAMPP4KIDS study will provide mixed methods insights on the materials’ acceptability and feasibility from different groups in a Canadian context, with a focus on marginalized families. The use of Trials of Improved Practices methodology could prove a useful tool for participant-led adaptation of existing parenting, early childhood development and other health intervention materials.
A chimp algorithm based on the foraging strategy of manta rays and its application
Authors: Yang Guilin , Yu Liya
Published: March 2024

To address the issue of poor performance in the chimp optimization (ChOA) algorithm, a new algorithm called the manta ray-based chimpa optimization algorithm (MChOA) was developed. Introducing the Latin hypercube method to construct the initial population so that the individuals of the initial population are evenly distributed in the solution space, increasing the diversity of the initial population. Introducing nonlinear convergence factors based on positive cut functions to changing the convergence of algorithms, the early survey capabilities and later development capabilities of the algorithm are balanced. The manta ray foraging strategy is introduced at the position update to make up for the defect that the algorithm is prone to local optimization, which effectively improves the optimization performance of the algorithm. To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. Finally, in order to further verify the algorithm’s applicability in actual production processes, it was applied to solve scheduling problems in three flexible workshop scenarios and an aviation engine job shop scheduling in an enterprise. This confirmed its efficacy in addressing complex real-world problems.
Dynamic expression of cathepsin L in the black soldier fly (Hermetia illucens) gut during Escherichia coli challenge
Authors: Chiang Yun-Ru , Lin Han-Tso , Chang Chao-Wei , Lin Shih-Ming , Lin John Han-You
Published: March 2024

The black soldier fly (BSF), Hermetia illucens, has the potential to serve as a valuable resource for waste bioconversion due to the ability of the larvae to thrive in a microbial-rich environment. Being an ecological decomposer, the survival of BSF larvae (BSFL) relies on developing an efficient defense system. Cathepsin L (CTSL) is a cysteine protease that plays roles in physiological and pathological processes. In this study, the full-length of CTSL was obtained from BSF. The 1,020-bp open reading frame encoded a preprotein of 339 amino acids with a predicted molecular weight of 32 kDa. The pro-domain contained the conserved ERFNIN, GNYD, and GCNGG motifs, which are all characteristic of CTSL. Homology revealed that the deduced amino acid sequence of BSF CTSL shared 74.22–72.99% identity with Diptera flies. Immunohistochemical (IHC) analysis showed the CTSL was predominantly localized in the gut, especially in the midgut. The mRNA expression of CTSL in different larval stages was analyzed by quantitative real-time PCR (RT-qPCR), which revealed that CTSL was expressed in the second to sixth instar, with the highest expression in the fifth instar. Following an immune challenge in vivo using Escherichia coli (E. coli), CTSL mRNA was significantly up-regulated at 6 h post-stimulation. The Z-Phe-Arg-AMC was gradually cleaved by the BSFL extract after 3 h post-stimulation. These results shed light on the potential role of CTSL in the defense mechanism that helps BSFL to survive against pathogens in a microbial-rich environment.
Spatial distribution and movement of Atlantic tarpon (Megalops atlanticus) in the northern Gulf of Mexico
Authors: Stephens Shane A. , Dance Michael A. , Zapp Sluis Michelle , Kline Richard J. , Streich Matthew K. , Stunz Gregory W. , Adams Aaron J. , Wells R. J. David , Rooker Jay R.
Published: March 2024

Atlantic tarpon (Megalops atlanticus) are capable of long-distance migrations (hundreds of kilometers) but also exhibit resident behaviors in estuarine and coastal habitats. The aim of this study was to characterize the spatial distribution of juvenile tarpon and identify migration pathways of adult tarpon in the northern Gulf of Mexico. Spatial distribution of juvenile tarpon was investigated using gillnet data collected by Texas Parks and Wildlife Department (TPWD) over the past four decades. Generalized additive models (GAMs) indicated that salinity and water temperature played a significant role in tarpon presence, with tarpon occurrences peaking in the fall and increasing over the past four decades in this region. Adult tarpon caught off Texas (n = 40) and Louisiana (n = 4) were tagged with acoustic transmitters to characterize spatial and temporal trends in their movements and migrations. Of the 44 acoustic transmitters deployed, 18 of the individuals were detected (n = 16 west of the Mississippi River Delta and n = 2 east of the Mississippi River Delta). Tarpon tagged west of the Mississippi River Delta off Texas migrated south in the fall and winter into areas of south Texas and potentially into Mexico, while individuals tagged east of the delta migrated into Florida during the same time period, suggesting the presence of two unique migratory contingents or subpopulations in this region. An improved understanding of the habitat requirements and migratory patterns of tarpon inhabiting the Gulf of Mexico is critically needed by resource managers to assess the vulnerability of each contingent to fishing pressure, and this information will guide multi-state and multi-national conservation efforts to rebuild and sustain tarpon populations.
Prevalence of intestinal parasitic infections and associated risk factors among patients attending Debarq Primary Hospital, northwest Ethiopia
Authors: Alelign Amir , Mulualem Nigus , Tekeste Zinaye
Published: March 2024

Intestinal parasitic infections (IPIs) are major public health problems in developing countries. This study was conducted to determine the prevalence and associated risk factors of IPIs at Debarq Primary Hospital in northwest Ethiopia. A health facility-based cross-sectional study was conducted from March 2022 to June 2022. The study participants were recruited from patients who visited Debarq Primary Hospital during the study period. Stool samples were collected from each participant and examined for intestinal parasites using direct wet-mount and formal-ether concentration techniques. Socio-demographic data were collected using a structured questionnaire. Out of 422 individuals examined, 33.64% were infected with at least one intestinal parasite species. Entamoeba histolytica/dispar, Giardia intestinalis, Ascaris lumbricoides, and hookworm were found in 12.79%, 8.53%, 7.10%, and 1.65% of the participants, respectively. Double and triple parasite infections were found in 2.37% and 0.23% of the participants, respectively. A habit of eating unwashed vegetables (Adjusted odds ratio (AOR) = 9.98, 95% confidence interval (CI) = 2.68–37.14) and low income (AOR = 6.66, 95% CI = 1.87–23.70) were associated with increased odds of IPIs. Participants with a habit of hand washing after using the toilet had 0.05 (95% CI = 0.13–0.22) lower odds of IPIs than those who did not. In conclusion, IPIs are common among Debarq Primary Hospital patients and are associated with factors such as low income, not washing hands after using the toilet, and eating unwashed vegetation, necessitating control and prevention efforts in the study area that include health education and the provision and use of sanitary facilities.
Performance of students with different accessibility needs and preferences in “Design for All” MOOCs
Authors: Rodriguez-Ascaso Alejandro , Molanes-López Elisa M. , Pérez-Martín Jorge , Letón Emilio
Published: March 2024

Recent research has shown that Massive Open Online Courses (MOOCs) create barriers for students with disabilities. Not taking into account their needs in the design, production or delivery of MOOCs may be one of the main causes behind this. It leads to poor compliance with suitable learning designs and web accessibility standards, as well as a lack of knowledge about the students’ needs. The objective of our research is to analyze the learning performance of the students in MOOCs on topics related to Design for All, offered in an Open edX-based platform. Accessibility support was conceived from the outset, including compliance of both the platform and the learning resources with the WCAG 2.1 accessibility standard, and with a subset of the principles of Universal Design for Learning. Additionally, students were consulted on their accessibility needs and preferences, following publicly available modeling schemes and previous research. From a sample of 765 students, who completed at least one of the graded assessment activities of the course, a multilevel multiple logistic regression model was fitted. Based on that model, the results indicate that: a) users of screen readers and users of captions show a statistically significant positive association with a good performance when compared to students with no preferences, with an odds ratio of, respectively, OR = 13.482 and OR = 13.701; b) students who have low vision or very low vision show a significant negative association with a good performance when compared to users of screen readers and to users of captions, with OR = 26.817 and OR = 27.254, respectively.
Sublinear drag regime at mesoscopic scales in viscoelastic materials
Authors: Ferreira A. E. O. , de Araújo J. L. B. , Ferreira W. P. , de Sousa J. S. , Oliveira C. L. N.
Published: March 2024

Stressed soft materials commonly present viscoelastic signatures in the form of power-law or exponential decay. Although exponential responses are the most common, power-law time dependencies arise peculiarly in complex soft materials such as living cells. Understanding the microscale mechanisms that drive rheologic behaviors at the macroscale shall be transformative in fields such as material design and bioengineering. Using an elastic network model of macromolecules immersed in a viscous fluid, we numerically reproduce those characteristic viscoelastic relaxations and show how the microscopic interactions determine the rheologic response. The macromolecules, represented by particles in the network, interact with neighbors through a spring constant k and with fluid through a non-linear drag regime. The dissipative force is given by γvα, where v is the particle’s velocity, and γ and α are mesoscopic parameters. Physically, the sublinear regime of the drag forces is related to micro-deformations of the macromolecules, while α ≥ 1 represents rigid cases. We obtain exponential or power-law relaxations or a transitional behavior between them by changing k, γ, and α. We find that exponential decays are indeed the most common behavior. However, power laws may arise when forces between the macromolecules and the fluid are sublinear. Our findings show that in materials not too soft not too elastic, the rheological responses are entirely controlled by α in the sublinear regime. More specifically, power-law responses arise for 0.3 ⪅ α ⪅ 0.45, while exponential responses for small and large values of α, namely, 0.0 ⪅ α ⪅ 0.2 and 0.55 ⪅ α ⪅ 1.0.
Aspects to consider regarding breast cancer risk in trans men: A systematic review and risk management approach
Authors: Wahlström Edvin , Audisio Riccardo A. , Selvaggi Gennaro
Published: March 2024

Background

The risk of breast cancer in trans men is currently a poorly understood subject and trans men likely carries a different level of risk from that of cis women.

Aim

This review aims to review several aspects that affects breast cancer risk in trans men and to apply the Swiss cheese model to highlight these risks. The study takes its cue from a systematic review of all described breast cancer cases in trans men following medical or surgical intervention because of gender dysphoria.

Methods

PubMed was systematically searched on the 14th of March 2023 to find all published cases of breast cancer following chest contouring surgery in trans men. Included articles had to involve trans men, the diagnosis of breast cancer had to be preceded by either a medical or surgical intervention related to gender dysphoria, and cases needed to involve invasive breast cancer or ductal carcinoma in situ. Articles were excluded if gender identity in the case subject was unclear and/or a full English version of the report was unavailable. Quality and risk of bias was evaluated using the GRADE protocol. A literature review of specific risk altering aspects in this population followed. The Swiss cheese model was employed to present a risk analysis and to propose ways of managing this risk.

Results

28 cases of breast cancer in trans men have been published. The Swiss cheese model identified several weaknesses associated with methods of preventing breast cancer in trans men.

Clinical implications

This study may highlight the difficulties with managing risk factors concerning breast cancer in trans men to clinicians not encountering this patient group frequently.

Conclusion

This review finds that evidence for most aspects concerning breast cancer in trans men are inadequate, which supports the establishment of a risk-management approach to breast cancer in trans men.
Automated code development based on genetic programming in graphical programming language: A pilot study
Authors: Kodytek Pavel , Bodzas Alexandra , Zidek Jan
Published: March 2024

Continual technological advances associated with the recent automation revolution have tremendously increased the impact of computer technology in the industry. Software development and testing are time-consuming processes, and the current market faces a lack of specialized experts. Introducing automation to this field could, therefore, improve software engineers’ common workflow and decrease the time to market. Even though many code-generating algorithms have been proposed in textual-based programming languages, to the best of the authors’ knowledge, none of the studies deals with the implementation of such algorithms in graphical programming environments, especially LabVIEW. Due to this fact, the main goal of this study is to conduct a proof-of-concept for a requirement-based automated code-developing system within the graphical programming environment LabVIEW. The proposed framework was evaluated on four basic benchmark problems, encompassing a string model, a numeric model, a boolean model and a mixed-type problem model, which covers fundamental programming scenarios. In all tested cases, the algorithm demonstrated an ability to create satisfying functional and errorless solutions that met all user-defined requirements. Even though the generated programs were burdened with redundant objects and were much more complex compared to programmer-developed codes, this fact has no effect on the code’s execution speed or accuracy. Based on the achieved results, we can conclude that this pilot study not only proved the feasibility and viability of the proposed concept, but also showed promising results in solving linear and binary programming tasks. Furthermore, the results revealed that with further research, this poorly explored field could become a powerful tool not only for application developers but also for non-programmers and low-skilled users.
Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model
Authors: Albreiki Salma , Simsekler Mecit Can Emre , Qazi Abroon , Bouabid Ali
Published: March 2024

Despite the exponential transformation occurring in the healthcare industry, operational failures pose significant challenges in the delivery of safe and efficient care. Incident management plays a crucial role in mitigating these challenges; however, it encounters limitations due to organizational factors within complex and dynamic healthcare systems. Further, there are limited studies examining the interdependencies and relative importance of these factors in the context of incident management practices. To address this gap, this study utilized aggregate-level hospital data to explore the influence of organizational factors on incident management practices. Employing a Bayesian Belief Network (BBN) structural learning algorithm, Tree Augmented Naive (TAN), this study assessed the probabilistic relationships, represented graphically, between organizational factors and incident management. Significantly, the model highlighted the critical roles of morale and staff engagement in influencing incident management practices within organizations. This study enhances our understanding of the importance of organizational factors in incident management, providing valuable insights for healthcare managers to effectively prioritize and allocate resources for continuous quality improvement efforts.