bluuebunny/crossref_metadata_2025 huggingface dataset:
Compitiendo con la gran banca privada: la exitosa estrategia de la Caja de Ahorros de Madrid durante el desarrollismo franquista (1962-1975)
Authors: Fernández Sánchez Pedro
Published: April 2024

Desde su creación a mediados del siglo XIX las Cajas de Ahorros (CA) han desempeñado un papel crucial en la economía española, no sólo a nivel nacional sino también regional y local. Instituciones centenarias, con una gran raigambre en los municipios y provincias donde prestaban sus servicios, desde comienzos del siglo XX se convirtieron en importantes competidores de la banca privada. Los bancos pronto constataron que las clases trabajadoras, tradicionales clientes de las CA, serían en el medio plazo claves para su desarrollo, por lo que pusieron en marcha sus propias secciones de ahorros. En este contexto, la Caja de Ahorros y Monte de Piedad de Madrid, en pleno franquismo, una época dominada financieramente por la banca privada, logró captar gran parte de los recursos del ahorro de la provincia Madrid y situarse a la par de los grandes bancos nacionales de la época. ¿Qué estrategia siguió en una etapa caracterizada por un importante cambio legislativo que pretendía aumentar la competencia en el sector? ¿Cómo pudo, una caja de ahorros llegar a tratar de igual a igual a la poderosa banca nacional del franquismo? Estas son las principales preguntas que este artículo intenta responder.
On the generalization of cognitive optical networking applications using composable machine learning
Authors: Gao Hanyu , Chen Xiaoliang , Lu Chao , Li Zhaohui
Published: April 2024

Model generalization characterizes the sustainability of machine learning (ML) designs applied to novel system states and therefore plays a vital role toward the realization of cognitive networking. In this paper, we present a composable ML framework (namely, CompML), aiming at generalizing ML-aided cognitive applications for optical networks. CompML makes use of three basic functional modules, i.e., the Loading, Recursion, and Readout modules, to model the loading/initialization processes (e.g., the launch of a signal), extract cumulative features by recursive operations, and produce model inferences, respectively. By the composition of the three modules and adoption of an end-to-end training mechanism, CompML allows for generalizing multiple tasks of the same domain [e.g., quality-of-transmission (QoT) estimation for different lightpaths]. We perform case studies of CompML on QoT estimation and nonlinearity compensation using both simulation and experimental data. Results show the superior generalization ability of CompML compared with the baselines, achieving mean absolute error (MAE) for generalized signal-to-noise ratio (GSNR) prediction error of below 1.06 dB for unseen lightpaths and up to 3 dB Q-factor improvement for nonlinearity compensation.
Optical phase and amplitude measurements of underwater turbulence via self-heterodyne detection
Authors: Ferlic Nathaniel A. , Laux Alan E. , Mullen Linda J.
Published: April 2024

The creation of underwater optical turbulence is driven by density variations that lead to small changes in the water’s refractive index, which induce optical path length differences that affect light propagation. Measuring a laser beam’s optical phase after traversing these turbulent variations can provide insight into how the water’s turbulence behaves. The sensing technique to measure turbulent fluctuations is a self-heterodyne beatnote enhanced by light’s orbital angular momentum (OAM) to obtain simultaneous optical phase and amplitude information. Experimental results of this method are obtained in a water tank that creates a thermally driven flow called Rayleigh–Bénard (RB) convection. The results show time-varying statistics of the beatnote that depend on the incident OAM mode order and the strength of the temperature gradient. Beatnote amplitude and phase power spectral densities are compared to analytic theory to obtain estimates of the turbulent length scales using the Taylor hypothesis that include mean flow speed, turbulent strength, and length scales, and flow dynamics due to intermittency in the RB process.
Effect of laser phase noise on the steady-state field-mirror entanglement and ground-state cooling in a Laguerre-Gaussian optorotational system
Authors: Chen Yupeng , Huang Sumei , Deng Li , Chen Aixi
Published: April 2024

Cavity optomechanical systems are considered as one of the best platforms for studying macroscopic quantum phenomena. In this paper, we studied the effect of laser phase noise on the steady-state entanglement between a cavity mode and a rotating mirror in a Laguerre-Gaussian (L-G) optorotational system. We found that the effect of laser phase noise was non-negligible on the field-mirror entanglement especially at a larger input power and a larger angular momentum. We also investigated the influence of laser phase noise on the ground-state cooling of the rotating mirror. In the presence of laser phase noise, the ground-state cooling of the rotating mirror can still be realized within a range of input powers.
Planar array antenna coupled InGaAs/InAlAs multi-quantum well optical modulator for 60 GHz band millimeter wave signals
Authors: Sekiguchi Gaku , Nakazawa Ryotaro , Otagaki Yui , Murata Hiroshi , Matsumoto Atsushi , Arakawa Taro
Published: April 2024

A Fe-InP-based planar array antenna-coupled InGaAs/InAlAs multiple quantum well (MQW) optical phase modulator is proposed and demonstrated for radio over fiber (RoF) applications with 60 GHz-band millimeter-wave wireless signals. The modulator comprises five types of five-layer asymmetric coupled quantum wells (FACQWs) and a two-element array antenna. The FACQWs are designed to have a significant electric-field-induced refractive index change with small electric fields induced in the antenna. In the fabricated modulator, a carrier-to-sideband ratio (CSR) of up to 45.9 dB was successfully obtained at a power density of 11 W/m2, corresponding to a phase shift of 10.1 mrad. Furthermore, data transmission of a 2 GHz modulated wave with a 60 GHz wireless carrier wave was demonstrated.
Precise cortical contributions to sensorimotor feedback control during reactive balance
Authors: Boebinger Scott , Payne Aiden , Martino Giovanni , Kerr Kennedy , Mirdamadi Jasmine , McKay J. Lucas , Borich Michael , Ting Lena
Published: April 2024

The role of the cortex in shaping automatic whole-body motor behaviors such as walking and balance is poorly understood. Gait and balance are typically mediated through subcortical circuits, with the cortex becoming engaged as needed on an individual basis by task difficulty and complexity. However, we lack a mechanistic understanding of how increased cortical contribution to whole-body movements shapes motor output. Here we use reactive balance recovery as a paradigm to identify relationships between hierarchical control mechanisms and their engagement across balance tasks of increasing difficulty in young adults. We hypothesize that parallel sensorimotor feedback loops engaging subcortical and cortical circuits contribute to balance-correcting muscle activity, and that the involvement of cortical circuits increases with balance challenge. We decomposed balance-correcting muscle activity based on hypothesized subcortically- and cortically-mediated feedback components driven by similar sensory information, but with different loop delays. The initial balance-correcting muscle activity was engaged at all levels of balance difficulty. Its onset latency was consistent with subcortical sensorimotor loops observed in the lower limb. An even later, presumed, cortically-mediated burst of muscle activity became additionally engaged as balance task difficulty increased, at latencies consistent with longer transcortical sensorimotor loops. We further demonstrate that evoked cortical activity in central midline areas measured using electroencephalography (EEG) can be explained by a similar sensory transformation as muscle activity but at a delay consistent with its role in a transcortical loop driving later cortical contributions to balance-correcting muscle activity. These results demonstrate that a neuromechanical model of muscle activity can be used to infer cortical contributions to muscle activity without recording brain activity. Our model may provide a useful framework for evaluating changes in cortical contributions to balance that are associated with falls in older adults and in neurological disorders such as Parkinson’s disease.
Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study
Authors: Thirunavukarasu Arun James , Mahmood Shathar , Malem Andrew , Foster William Paul , Sanghera Rohan , Hassan Refaat , Zhou Sean , Wong Shiao Wei , Wong Yee Ling , Chong Yu Jeat , Shakeel Abdullah , Chang Yin-Hsi , Tan Benjamin Kye Jyn , Jain Nikhil , Tan Ting Fang , Rauz Saaeha , Ting Daniel Shu Wei , Ting Darren Shu Jeng
Published: April 2024

Large language models (LLMs) underlie remarkable recent advanced in natural language processing, and they are beginning to be applied in clinical contexts. We aimed to evaluate the clinical potential of state-of-the-art LLMs in ophthalmology using a more robust benchmark than raw examination scores. We trialled GPT-3.5 and GPT-4 on 347 ophthalmology questions before GPT-3.5, GPT-4, PaLM 2, LLaMA, expert ophthalmologists, and doctors in training were trialled on a mock examination of 87 questions. Performance was analysed with respect to question subject and type (first order recall and higher order reasoning). Masked ophthalmologists graded the accuracy, relevance, and overall preference of GPT-3.5 and GPT-4 responses to the same questions. The performance of GPT-4 (69%) was superior to GPT-3.5 (48%), LLaMA (32%), and PaLM 2 (56%). GPT-4 compared favourably with expert ophthalmologists (median 76%, range 64–90%), ophthalmology trainees (median 59%, range 57–63%), and unspecialised junior doctors (median 43%, range 41–44%). Low agreement between LLMs and doctors reflected idiosyncratic differences in knowledge and reasoning with overall consistency across subjects and types (p>0.05). All ophthalmologists preferred GPT-4 responses over GPT-3.5 and rated the accuracy and relevance of GPT-4 as higher (p<0.05). LLMs are approaching expert-level knowledge and reasoning skills in ophthalmology. In view of the comparable or superior performance to trainee-grade ophthalmologists and unspecialised junior doctors, state-of-the-art LLMs such as GPT-4 may provide useful medical advice and assistance where access to expert ophthalmologists is limited. Clinical benchmarks provide useful assays of LLM capabilities in healthcare before clinical trials can be designed and conducted.
Perceived needs of disease vector control programs: A review and synthesis of (sub)national assessments from South Asia and the Middle East
Authors: van den Berg Henk , Bashar Kabirul , Chowdhury Rajib , Bhatt Rajendra M. , Gupta Hardev Prasad , Kumar Ashwani , Sabesan Shanmugavelu , Shriram Ananganallur N. , Konuganti Hari Kishan Raju , Sinha Akhouri T. S. , Sedaghat Mohammad Mehdi , Enayati Ahmadali , Hassan Hameeda Mohammed , Najmee Aishath Shaheen , Saleem Sana , Uranw Surendra , Kusumawathie Pahalagedera H. D. , Perera Devika , Esmail Mohammed A. , Carrington Lauren B. , Al-Eryani Samira M. , Kumari Roop , Nagpal Bhupender N. , Sultana Sabera , Velayudhan Raman , Yadav Rajpal S.
Published: April 2024

Systems for disease vector control should be effective, efficient, and flexible to be able to tackle contemporary challenges and threats in the control and elimination of vector-borne diseases. As a priority activity towards the strengthening of vector control systems, it has been advocated that countries conduct a vector-control needs assessment. A review was carried out of the perceived needs for disease vector control programs among eleven countries and subnational states in South Asia and the Middle East. In each country or state, independent teams conducted vector control needs assessment with engagement of stakeholders. Important weaknesses were described for malaria, dengue and leishmaniases regarding vector surveillance, insecticide susceptibility testing, monitoring and evaluation of operations, entomological capacity and laboratory infrastructure. In addition, community mobilization and intersectoral collaboration showed important gaps. Countries and states expressed concern about insecticide resistance that could reduce the continued effectiveness of interventions, which demands improved monitoring. Moreover, attainment of disease elimination necessitates enhanced vector surveillance. Vector control needs assessment provided a useful planning tool for systematic strengthening of vector control systems. A limitation in conducting the vector control needs assessment was that it is time- and resource-intensive. To increase the feasibility and utility of national assessments, an abridged version of the guidance should focus on operationally relevant topics of the assessment. Similar reviews are needed in other regions with different contextual conditions.
Dengue vector control in high-income, city settings: A scoping review of approaches and methods
Authors: Durrance-Bagale Anna , Hoe Nirel , Lai Jane , Liew Jonathan Wee Kent , Clapham Hannah , Howard Natasha
Published: April 2024

Background

Dengue virus (DENV) is endemic to many parts of the world and has serious health and socioeconomic effects even in high-income countries, especially with rapid changes in the climate globally. We explored the literature on dengue vector control methods used in high-income, city settings and associations with dengue incidence, dengue prevalence, or mosquito vector densities.

Methods

Studies of any design or year were included if they reported effects on human DENV infection or Aedes vector indices of dengue-specific vector control interventions in high-income, city settings.

Results

Of 24 eligible sources, most reported research in the United States (n = 8) or Australia (n = 5). Biocontrol (n = 12) and chemical control (n = 13) were the most frequently discussed vector control methods. Only 6 sources reported data on the effectiveness of a given method in reducing human DENV incidence or prevalence, 2 described effects of larval and adult control on Aedes DENV positivity, 20 reported effectiveness in reducing vector density, using insecticide, larvicide, source reduction, auto-dissemination of pyriproxyfen and Wolbachia, and only 1 described effects on human-vector contact.

Conclusions

As most studies reported reductions in vector densities, rather than any effects on human DENV incidence or prevalence, we can draw no clear conclusions on which interventions might be most effective in reducing dengue in high-income, city areas. More research is needed linking evidence on the effects of different DENV vector control methods with dengue incidence/prevalence or mosquito vector densities in high-income, city settings as this is likely to differ from low-income settings. This is a significant evidence gap as climate changes increase the global reach of DENV. The importance of community involvement was clear in several studies, although it is impossible to tease out the relative contributions of this from other control methods used.
Lysophosphatidic acid down-regulates human RIPK4 mRNA in keratinocyte- derived cell lines
Authors: Xu Lei , Bajorski Peter , Poligone Brian
Published: April 2024

The tight control of proliferating keratinocytes is vital to the successful function of the skin. Differentiation of dividing cells is necessary to form a skin barrier. The same dividing cells are necessary to heal wounds and when malignant form tumors. RIPK4, a serine-threonine kinase, plays critical roles in these processes. Its loss of function was associated with pathological keratinocyte proliferation and development of squamous cell carcinoma (SCC) in humans and mice. The current study extends previous findings in the importance of RIPK4 in keratinocyte proliferation. A serum-derived phospholipid, lysophosphatidic acid (LPA), was identified as an important biologic inhibitor of RIPK4. LPA functions by inhibiting the transcription of RIPK4 mRNA. LPA treatment led to increased keratinocyte proliferation, and this was compromised in cells with reduced RIPK4 expression. The current study may help to explain the mechanism by which RIPK4 was downregulated during SCC progression and provide insights on RIPK4 functions. It may also allow for targeting of RIPK4 through a natural component of serum.
The optimisation of Salmonella surveillance programmes for pullet and layer farms using local farm density as a risk factor
Authors: Hobbelen Peter , Hagenaars Thomas , Peri Markovich Michal , Bellaiche Michel , Giovannini Armando , De Massis Fabrizio , de Koeijer Aline
Published: April 2024

Human salmonellosis cases are often caused by Salmonella serovars Enteritidis and Typhimurium and associated with the consumption of eggs and egg products. Many countries therefore implemented general surveillance programmes on pullet and layer farms. The identification of risk factors for Salmonella infection may be used to improve the performance of these surveillance programmes. The aims of this study were therefore to determine 1) whether local farm density is a risk factor for the infection of pullet and layer farms by Salmonella Enteritidis and Typhimurium and 2) whether the sampling effort of surveillance programmes can be reduced by accounting for this risk factor, while still providing sufficient control of these serovars. We assessed the importance of local farm density as a risk factor by fitting transmission kernels to Israeli surveillance data during the period from June 2017 to April 2019. The analysis shows that the risk of infection by serovars Enteritidis and Typhimurium significantly increased if infected farms were present within a radius of approximately 4 km and 0.3 km, respectively. We subsequently optimized a surveillance programme that subdivided layer farms into low and high risk groups based on the local farm density with and allowed the sampling frequency to vary between these groups. In this design, the pullet farms were always sampled one week prior to pullet distribution. Our analysis shows that the risk-based surveillance programme is able to keep the between-farm R0 of serovars Enteritidis and Typhimurium below 1 for all pullet and layer farms, while reducing the sampling effort by 32% compared to the currently implemented surveillance programme in Israel. The results of our study therefore indicate that local farm density is an important risk factor for infection of pullet and layer farms by Salmonella Enteritidis and Typhimurium and can be used to improve the performance of surveillance programmes.
Influence of Green Human Resource Management on firm’s environmental performance: Green Employee Empowerment as a mediating factor
Authors: Adu Sarfo Philip , Zhang Jianhua , Nyantakyi George , Lassey Francis Ako , Bruce Emmanuel , Amankwah Ophelia
Published: April 2024

This research aimed to investigate the mediating function of Green Employee Empowerment (GEE) in the relationship between Green Human Resource Management practices (GHRM) and the environmental performance of small and medium-sized enterprises (SMEs) in Ghana, drawing on the Ability-Motivation-Opportunity (AMO) theory. This study assessed the hypotheses in the established research model using structural equation modeling based on data collected from 320 participants from small and medium-sized firms in Ghana. The study’s results revealed that GHRM practices were significantly correlated with the firm’s environmental performance. The study found significant GHRM’s indirect consequences on environmental performance through GEE in all models examined. These findings suggest that GEE plays a crucial role in translating the impact of GHRM practices into improved environmental performance. The study overlooked other potential mediators or moderators in the relationship between GHRM practices and environmental performance, focusing on GEE. To better understand the complex dynamics behind GHRM techniques’ environmental performance, future research might examine business culture, leadership style, and employee sustainability attitudes.
The good, the bad and the boa: An unexpected new species of a true boa revealed by morphological and molecular evidence
Authors: Gonzalez Rodrigo Castellari , Bezerra de Lima Lorena Corina , Passos Paulo , Silva Maria José J.
Published: April 2024

Snakes of the genus Boa are outstanding elements of the New World biota with a broad sociological influence on pop culture. Historically, several taxa have been recognized in the past 300 years, being mostly described in the early days of binomial nomenclature. As a rule, these taxa were recognized based on a suite of phenotypic characters mainly those from the external morphology. However, there is a huge disagreement with respect to the current taxonomy and available molecular phylogenies. In order to reconcile both lines of evidence, we investigate the phylogenetic reconstruction (using mitochondrial and nuclear genes) of the genus in parallel to the detailed study of some phenotypic systems from a geographically representative sample of the cis-Andean mainland Boa constrictor. We used cyt-b only (744bp) from 73 samples, and cyt-b, ND4, NTF3, and ODC partial sequences (in a total of 2305 bp) from 35 samples, comprising nine currently recognized taxa (species or subspecies), to infer phylogenetic relationships of boas. Topologies recovered along all the analyses and genetic distances obtained allied to a unique combination of morphological traits (colouration, pholidosis, meristic, morphometric, and male genitalia features) allowed us to recognize B. constrictor lato sensu, B. nebulosa, B. occidentalis, B. orophias and a distinct lineage from the eastern coast of Brazil, which we describe here as a new species, diagnosing it from the previously recognized taxa. Finally, we discuss the minimally necessary changes in the taxonomy of Boa constrictor complex; the value of some usually disregarded phenotypic character system; and we highlight the urgency of continuing environmental policy to preserve one of the most impacted Brazilian hotspots, the Atlantic Forest, which represents an ecoregion full of endemism.
Could fish aggregation at ocean aquaculture augment wild populations and local fisheries?
Authors: Couture Jessica L. , Bradley Darcy , Halpern Benjamin S. , Gaines Steven D.
Published: April 2024

The global population consumes more seafood from aquaculture today than from capture fisheries and although the aquaculture industry continues to grow, both seafood sectors will continue to be important to the global food supply into the future. As farming continues to expand into ocean systems, understanding how wild populations and fisheries will interact with farms will be increasingly important to informing sustainable ocean planning and management. Using a spatially explicit population and fishing model we simulate several impacts from ocean aquaculture (i.e., aggregation, protection from fishing, and impacts on fitness) to evaluate the mechanisms underlying interactions between aquaculture, wild populations and fisheries. We find that aggregation of species to farms can increase the benefits of protection from fishing that a farm provides and can have greater impacts on more mobile species. Splitting total farm area into smaller farms can benefit fishery catches, whereas larger farms can provide greater ecological benefits through conservation of wild populations. Our results provide clear lessons on how to design and co-manage expanding ocean aquaculture along with wild capture ecosystem management to benefit fisheries or conservation objectives.
Propagation thresholds and driving mechanism detection of karst meteorological- agricultural drought: A case study in Guizhou Province
Authors: Chen Lihui , He Zhonghua , Tan Hongmei , Xu Mingjin , Gu Xiaolin
Published: April 2024

It is significant to systematically quantify the propagation thresholds of meteorological drought to different levels of agricultural drought in karst areas, and revealit’s the propagation driving mechanisms. This can guide early warning and fine management of agricultural drought. In this study,we selected Guizhou Province as an example. The standardized precipitation evapotranspiration index (SPEI) and standardized soil moisture index (SSI) were used to characterize meteorological and agricultural drought. The run theory was used to identify, merge and eliminate drought events. The maximum correlation coefficient was used to capture the propagation time of meteorological-agricultural drought. The regression models were used to quantify the propagation intensity threshold from meteorological drought to different levels of agricultural drought. Finally, the propagation threshold driving mechanism was explored using geographical detectors. The results show that: (1) in terms of temporal variations during the past 21 years, regional meteorological drought had a shorter duration and a higher intensity than agricultural drought, Particularly, 2011 was a year of severe drought, and agricultural drought was significantly alleviated after 2014. (2) In terms of spatial variations, the "long duration area" of meteorological drought duration showed an "S" shaped distribution in the northeast, and the "short duration area" showed a point-like distribution. The overall duration of agricultural drought showed a spatial distribution of northeast to “medium-high in the northeast and low in the southwest. (3) The drought propagation time showed an alternating distribution of "valley-peak-valley-peak" from southeast to northwest. In terms of propagation intensity thresholds, light drought showed an overall spatial distribution of high in the east and low in the west. Moderate, severe, and extreme droughts showed a spatial distribution of low in the center north of southern Guizhou) and high in the borders. (4) There was a strong spatial coupling relationship between karst development intensity, altitude and meteorological-agricultural drought propagation thresholds. The interaction of different factors exhibited a two-factor enhancement and nonlinear enhancement on the propagation threshold. This indicates that synergistic effects of different factors on the propagation threshold were larger than single-factor effects.
Understanding paleo-earthquakes in the Kuril Trench based on Late-Holocene tsunami deposits in the distal region from wave sources, northern Hidaka, Hokkaido, Japan
Authors: Nakanishi Ryo , Ashi Juichiro , Okamura Satoshi , Yokoyama Yusuke , Miyairi Yosuke
Published: April 2024

Geological evidence, such as tsunami deposits, is crucial for studying the largest rupture zone of the Kuril Trench in Hokkaido, Japan, due to its poor historical record. Although 17th-century tsunami deposits are widely distributed across Hokkaido, the presence of multiple wave sources during that period, including the collapse of Mt. Komagatake, complicates the correlation with their wave sources. Understanding the regional distribution of these tsunami deposits can provide valuable data to estimate the magnitude of megathrust earthquakes in the Kuril Trench. The northern part of Hidaka, Hokkaido, where tsunamis from multiple wave sources are expected to overlap, is distant from the Kuril Trench. To clarify the depositional history of tsunami deposits in such distal areas, evaluating the influence of the depositional environments on the event layer preservation becomes even more critical. We conducted field surveys in Kabari, located in the northern Hidaka region, identifying three sand layers from the 10th to the 17th century and two layers dating beyond 2.3 thousand years ago. The depositional ages of most sand layers potentially correlate with tsunami deposits resulting from the Kuril Trench earthquakes. Utilizing reconstructed paleo-sea level data, we estimated that most sand layers reached approximately 2 m in height. However, it is noteworthy that the latest sand layer from the 17th century exhibited an unusual distribution, more than 3 m in height. This suggests a different wave source as the Mt. Komagatake collapse. The discovery of multiple sand layers and their distributions is crucial to constraining the maximum magnitude of giant earthquakes in the Kuril Trench and understanding the volcanic tsunami events related to Mt. Komagatake.
Effects of relational and instrumental messaging on human perception of rattlesnakes
Authors: Allison Erin B. , Taylor Emily N. , Graham Zackary A. , Amarello Melissa , Smith Jeffrey J. , Loughman Zachary J.
Published: April 2024

We tested the effects of relational and instrumental message strategies on US residents’ perception of rattlesnakes—animals that tend to generate feelings of fear, disgust, or hatred but are nevertheless key members of healthy ecosystems. We deployed an online survey to social media users (n = 1,182) to describe perceptions of rattlesnakes and assess the change after viewing a randomly selected relational or instrumental video message. An 8–item, pre–and post–Rattlesnake Perception Test (RPT) evaluated perception variables along emotional, knowledge, and behavioral gradients on a 5–point Likert scale; the eight responses were combined to produce an Aggregate Rattlesnake Perception (ARP) score for each participant. We found that people from Abrahamic religions (i.e., Christianity, Judaism, Islam) and those identifying as female were associated with low initial perceptions of rattlesnakes, whereas agnostics and individuals residing in the Midwest region and in rural residential areas had relatively favorable perceptions. Overall, both videos produced positive changes in rattlesnake perception, although the instrumental video message led to a greater increase in ARP than the relational message. The relational message was associated with significant increases in ARP only among females, agnostics, Baby Boomers (age 57–75), and Generation–Z (age 18–25 to exclude minors). The instrumental video message was associated with significant increases in ARP, and this result varied by religious group. ARP changed less in those reporting prior experience with a venomous snake bite (to them, a friend, or a pet) than in those with no such experience. Our data suggest that relational and instrumental message strategies can improve people’s perceptions of unpopular and potentially dangerous wildlife, but their effectiveness may vary by gender, age, religious beliefs, and experience. These results can be used to hone and personalize communication strategies to improve perceptions of unpopular wildlife species.
Trends in pediatric prescription-opioid overdoses in U.S. emergency departments from 2008–2020: An epidemiologic study of pediatric opioid overdose ED visits
Authors: Lu Audrey , Armstrong Megan , Alexander Robin , Vest Eurella , Chang Jonathan , Zhu Motao , Xiang Henry
Published: April 2024

Background

Opioid overdose was declared a public health emergency in the United States, but much of the focus has been on adults. Child and adolescent exposure and access to unused prescription-opioid medications is a big concern. More research is needed on the trend of pediatric (age 0–17) prescription-opioid overdose emergency department (ED) visits in the United States, particularly during the COVID-19 pandemic year.

Methods

This retrospective epidemiological study used the 2008–2020 Nationwide Emergency Department Sample to provide a national estimate of ED visits related to prescription-opioid overdose. Inclusion criteria were 0-17-year-old patients treated at the ED due to prescription-opioid overdose. Eligible visits were identified if their medical records included any administrative billing codes for prescription-opioid overdose. National estimates were broken down by age groups, sex, geographic region, primary payer, median household income by zip code, ED disposition, and hospital location/teaching status. Incidence rate per 100,000 U.S. children was calculated for age groups, sex, and geographic region.

Results

Overall, the prescription-opioid overdose ED visits for patients from 0–17 years old in the United States decreased by 22% from 2008 to 2019, then increased by 12% in 2020. Most patients were discharged to home following their ED visit; however, there was a 42% increase in patients admitted from 2019 to 2020. The prescription-opioid overdose rate per 100,000 U.S. children was highest in the 0 to 1 and 12 to 17 age groups, with the 12 to 17 group increasing by 27% in 2020. ED visits in the West and Midwest saw prescription-opioid visits increase by 58% and 20%, respectively, from 2019–2020.

Conclusions

Prescription-opioid overdose ED visits among U.S. children and adolescents decreased over the past decade until 2019. However, there was a substantial increase in ED visits from 2019 to 2020, suggesting the potential impact due to the then-emerging COVID-19 pandemic. Findings suggest focusing on young children and adolescents to reduce further prescription-opioid overdoses in the United States.
Impact of tobacco habits on poor oral health status among bone-factory workers in a low literacy city in India: A cross-sectional study
Authors: Alam Naved , Mariam Warisha
Published: April 2024

Oral health is a vital indicator of well-being that is influenced by various habits and lifestyles of individuals. Oral diseases are the bottleneck in the effective control of non-communicable diseases (NCDs) due to chronic in nature and reciprocal relationship as sharing the common risk factors and habits such as sugar, tobacco, and alcohol consumption that increase the risk of developing various inevitable diseases. However, there is a lack of literature highlighting the relationship between risk factors for oral diseases and general health among individuals. This cross-sectional study was carried out among 500 study participants aged 20 to 64 years who gave written informed consent and were recruited by Multistage Stratified Cluster Sampling technique among workers in five bone factories, working for at least one year since January 2001 to March 2022 in Sambhal city, Uttar Pradesh. WHO-Basic Oral Health Survey-1997 was used to record the data regarding sociodemographic and oral health status variables. We used the modified WHO-STEPWISE pre-structured questionnaire to record tobacco consumption habits and oral health-seeking behavior. We scheduled a clinical intra-oral examination to record the Decayed Missing Filled Teeth (DMFT) index and the interview on the premises of five bone factories. Among the 500 bone-factory workers, the total number of males was 342 (68.40%) and 158 (31.60%) were females. The mean age (Standard Deviation) was 33.18 (10), and the mean DMFT score of factory workers was 2.84 (3.12). Production workers had the highest mean DMFT score of 4.60 (3.25). More than half of the factory workers (53.2%) were tobacco users. Tobacco users were 3.52 times more likely to have a severe DMFT index. Most common pre-cancerous lesions were oral submucous fibrosis and leukoplakia. Compared to non-tobacco users, mild tobacco users have 6.80 folds higher odds of oral lesions. Tobacco consumption is not only harmful for oral health but also leads to several non-communicable and systemic diseases. NCDs and dental caries are chronic and preventable conditions with a bidirectional relationship implicated by modifiable major risk factors such as tobacco consumption. Decreasing the consumption of tobacco use may improve oral health and reduce the risk of the development of NCDs. Also, regular dental visits should be scheduled to monitor the oral health status of factory workers. Additionally, tailored intervention for tobacco cessation should be implicated to maintain the general and oral health of industrial workers.
Screen time, social media use, and weight-related bullying victimization: Findings from an international sample of adolescents
Authors: Ganson Kyle T. , Pang Nelson , Nagata Jason M. , Pedder Jones Catrin , Mishna Faye , Testa Alexander , Jackson Dylan B. , Hammond David
Published: April 2024

Screen time, social media, and weight-related bullying are ubiquitous among adolescents. However, little research has been conducted among international samples. Therefore, the aim of this study was to determine the association between screen time, social media use, and weight-related bullying victimization among an international sample of adolescents from six countries. Data from the 2020 International Food Policy Study Youth Survey were analyzed (N = 12,031). Multiple modified Poisson regression models were estimated to determine the associations between weekday hours of five forms of screen time, and total screen time, and use of six contemporary social media platforms and weight-related bullying victimization. Analyses were conducted among the overall sample, and stratified by country (Australia, Canada, Chile, Mexico, United Kingdom, United States). Greater hours of weekday screen time and use of each of the six social media platforms were associated with weight-related bullying victimization among the sample. Each additional hour of social media use was equivalent to a 13% (confidence interval [CI] 1.10–1.16) increase in the prevalence of weight-related bullying victimization. The use of Twitter was associated with a 69% (CI 1.53–1.84) increase in the prevalence of weight-related bullying victimization. Associations between hours of weekday screen time, use of six social media, and weight-related bullying victimization differed by country. Findings underscore the associations between screen time, social media, and weight-related bullying among a sample of adolescents from six medium- and high-income countries. Country-specific and global public health and technology efforts are needed to address this burgeoning social problem.
Jolkinolide B inhibits the progression of hepatocellular carcinoma by regulating Musashi-2 protein
Authors: Wu Tianchun , Yang Han , Li Jinjin , Fang Hongbo , Shi Xiaoyi , Li Jie , Feng Liushun
Published: April 2024

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths. However, the HCC treatment is still challenging. Herein, we aimed to reveal the anti-tumor effect of Jolkinolide B in HCC cell lines Huh-7 and SK-Hep-1. The results showed that Jolkinolide B inhibited the migration, invasion, and epithelial-to-mesenchymal transition(EMT) of HCC cells. In addition, Jolkinolide B induced HCC cell apoptosis by upregulating Bax and downregulating BCL-2 expressions. Furthermore, we demonstrated that Jolkinolide B inactivated the β-catenin signaling and reduced Musashi-2 expression. Finally, we revealed that Musashi-2 overexpression reversed the Jolkinolide B-induced anti-HCC effect. Overall, we proved that Jolkinolide B is a potential candidate for treating HCC.
A protocol for remote collection of skeletal muscle mass via D3-creatine dilution in community-dwelling postmenopausal women from the Women’s Health Initiative
Authors: Banack Hailey R. , Wactawski-Wende Jean , Ochs-Balcom Heather M. , Feliciano Elizabeth M. Cespedes , Caan Bette , Lee Catherine , Anderson Garnet , Shankaran Mahalakshmi , Evans William J.
Published: April 2024

Background

There is emerging evidence that cancer and its treatments may accelerate the normal aging process, increasing the magnitude and rate of decline in functional capacity. This accelerated aging process is hypothesized to hasten the occurrence of common adverse age-related outcomes in cancer survivors, including loss of muscle mass and decrease in physical function. However, there is no data describing age-related loss of muscle mass and its relation to physical function in the long-term in cancer survivors.

Methods

This study protocol describes the use of a novel method of muscle mass measurement, D3-creatine dilution method (D3Cr), in a large sample (n~6000) of community dwelling postmenopausal women from the Women’s Health Initiative (WHI). D3Cr will be used to obtain a direct measure of muscle mass remotely. Participants will be drawn from two sub-cohorts embedded within the WHI that have recently completed an in-home visit. Cancer survivors will be drawn from the Life and Longevity After Cancer (LILAC) cohort, and cancer-free controls will be drawn from the WHI Long Life Study 2. The overall objective of this study is to examine the antecedents and consequences of low muscle mass in cancer survivors. The study aims are to: 1) create age-standardized muscle mass percentile curves and z-scores to characterize the distribution of D3- muscle mass in cancer survivors and non-cancer controls, 2) compare muscle mass, physical function, and functional decline in cancer survivors and non- cancer controls, and 3) use machine learning approaches to generate multivariate risk-prediction algorithms to detect low muscle mass.

Discussion

The D3Cr method will transform our ability to measure muscle mass in large-scale epidemiologic research. This study is an opportunity to advance our understanding of a key source of morbidity among older and long-term female cancer survivors. This project will fill knowledge gaps, including the antecedents and consequences of low muscle mass, and use innovative methods to overcome common sources of bias in cancer research. The results of this study will be used to develop interventions to mitigate the harmful effects of low muscle mass in older adults and promote healthy survivorship in cancer survivors in the old (>65) and oldest-old (>85) age groups.
A simulation-based comparison of drug-drug interaction signal detection methods
Authors: Jung Dagyeom , Jung Inkyung
Published: April 2024

Several statistical methods have been proposed to detect adverse drug reactions induced by taking two drugs together. These suspected adverse drug reactions can be discovered through post-market drug safety surveillance, which mainly relies on spontaneous reporting system database. Most previous studies have applied statistical models to real world data, but it is not clear which method outperforms the others. We aimed to assess the performance of various detection methods by implementing simulations under various conditions. We reviewed proposed approaches to detect signals indicating drug-drug interactions (DDIs) including the Ω shrinkage measure, the chi-square statistic, the proportional reporting ratio, the concomitant signal score, the additive model and the multiplicative model. Under various scenarios, we conducted a simulation study to examine the performances of the methods. We also applied the methods to Korea Adverse Event Reporting System (KAERS) data. Of the six methods considered in the simulation study, the Ω shrinkage measure and the chi-square statistic with threshold = 2 had higher sensitivity for detecting the true signals than the other methods in most scenarios while controlling the false positive rate below 0.05. When applied to the KAERS data, the two methods detected one known DDI for QT prolongation and one unknown (suspected) DDI for hyperkalemia. The performance of various signal detection methods for DDI may vary. It is recommended to use several methods together, rather than just one, to make a reasonable decision.
Recovering a lost seismic disaster. The destruction of El Castillejo and the discovery of the earliest historic earthquake affecting the Granada region (Spain)
Authors: Forlin Paolo , Reicherter Klaus , Gerrard Christopher M. , Bailiff Ian , García Porras Alberto
Published: April 2024

This paper discusses recent archaeological fieldwork conducted at El Castillejo, a medieval Islamic settlement in Los Guájares, Granada, southern Spain. Results from combined archaeological excavation and archaeoseismological assessment of standing structures suggest that the site was affected by a destructive earthquake during its occupation. Radiocarbon samples and OSL analysis point to a seismic event in the period CE 1224–1266. The earthquake occurred within an area marked by a ‘seismological gap’ in terms of historic seismicity and the causative fault has been tentatively identified in the Nigüelas-Padul Fault System which lies north of the settlement. This event is not recorded by national or European seismic catalogues and represents the oldest historic earthquake in the Granada area. Our work stresses the significant impact that targeted archaeological investigations can generate in our understanding of the local historic seismicity, thus providing clear implications for seismic disaster prevention and reduction.
A machine learning-based predictive model of causality in orthopaedic medical malpractice cases in China
Authors: Yang Qingxin , Luo Li , Lin Zhangpeng , Wen Wei , Zeng Wenbo , Deng Hong
Published: April 2024

Purpose

To explore the feasibility and validity of machine learning models in determining causality in medical malpractice cases and to try to increase the scientificity and reliability of identification opinions.

Methods

We collected 13,245 written judgments from PKULAW.COM, a public database. 963 cases were included after the initial screening. 21 medical and ten patient factors were selected as characteristic variables by summarising previous literature and cases. Random Forest, eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM) were used to establish prediction models of causality for the two data sets, respectively. Finally, the optimal model is obtained by hyperparameter tuning of the six models.

Results

We built three real data set models and three virtual data set models by three algorithms, and their confusion matrices differed. XGBoost performed best in the real data set, with a model accuracy of 66%. In the virtual data set, the performance of XGBoost and LightGBM was basically the same, and the model accuracy rate was 80%. The overall accuracy of external verification was 72.7%.

Conclusions

The optimal model of this study is expected to predict the causality accurately.
Perceptions of risk and coping strategies during the COVID-19 pandemic among women and older adults
Authors: Ke Guek Nee , Gow Alan , Wong Rachel Mei Ming , Raman Shahirah , Mohammad Zulaikha , De-Lima Nicole , Khairudin Rozainee , Lau Wee Yeap , Kamal Khalil Anwar , Lee Shen Chiang , Grajfoner Dasha
Published: April 2024

The world’s health, economic, and social systems have been adversely impacted by the COVID-19 pandemic. With lockdown measures being a common response strategy in most countries, many individuals were faced with financial and mental health challenges. The current study explored the effect of the COVID-19 pandemic on the psychological well-being, perception of risk factors and coping strategies of two vulnerable groups in Malaysia, namely women and older adults from low-income households (USD592). A purposive sample of 30 women and 30 older adults was interviewed via telephone during Malaysia’s Movement Control Order (MCO) regarding the challenges they faced throughout the pandemic. Thematic analysis was subsequently conducted to identify key themes. The themes identified from the thematic analysis indicated a degree of overlap between both groups. For women, seven themes emerged: 1) Psychological challenges due to COVID-19 pandemic, 2) Family violence, 3) Finance and employment related stress and anxiety, 4) Women’s inequality and prejudice, 5) Coping strategies, 6) Professional support, and 7) Women’s empowerment. Similarly, there were six themes for the older adults: 1) Adverse emotional experiences from COVID-19, 2) Threats to health security, 3) Loss of social connections, 4) Government aid to improve older adults’ psychological well-being, 5) Psychological support from family members and pets, and 6) Self-reliance, religion, and spirituality. The findings provide valuable information on the specific burdens faced by these groups, and support psychological interventions and mitigations that would be appropriate to improve well-being during the recovery phase.