bluuebunny/crossref_metadata_2025 huggingface dataset:
Methodological Aspects of Elaborating Marketing Strategy of Innovation Bank Products and Services
Authors: Bykanova N. I.
Published: July 2024

Today the key factor of influencing banking sector is the development of information systems and overall strategy of economy digitalization as its consequence. On today’s competitive banking market we can observe the necessity to elaborate and promote approaches to banking product and service marketing that are meant to provide finance stability of banking business and orientation of marketing innovation bank functioning not only to their opportunities but also to market needs. In spite of a big number of publications dealing with this issue, academic research should be developed further. In research by Russian scientists there are actually no developments dealing with the problem of finding structural components for elaborating marketing strategy of banking products and services. Insufficient attention was paid to approaches of defining the essence of banking product and service marketing. The problem of assessing the level of the impact of banking innovation marketing on competitive positions and finance stability of banks has not been settled yet. The article showed components necessary to elaborate strategy of banking product and service marketing, among which the author underlined their characteristics depending on the model of commercialization, sub-system of their implementation process and interconnection between the chosen marketing strategy and classification features of banking innovation. The author designed a structural and logical scheme of elaborating strategy of baking product and servicer marketing and formulated its definition.
Comparative Analysis of Tool Functionality in Descriptive Statistics of Language R
Authors: Apal’kova T. G. , Levchenko K. G.
Published: July 2024

The article provides methods and procedures of getting numerical statistical characteristics of qualitative and quantitative features by means of language R in the process of preliminary data analysis. The most expedient, in view of simplicity of use and information value of result, specification of functions of language descriptive statistics was shown. The author studied comparative advantages of tools of descriptive statistics of the language with the open software code R in comparison with similar units Python and Ms Excel. A conclusion was drawn about the convenience and appeal of using language R for estimating descriptive statistics for beginners, who have not got specific knowledge in programming. For example, it was shown that in order to get min 12 characteristics of descriptive data statistics grouped by categories only one command will be enough. As for estimating one statistical characteristic for segment of data produced by several grouping features, again only one command is necessary. Findings of the research can be useful for investigators of different fields, both beginners and experts, who work with methods of statistical data processing in academic and practical spheres.
The Review of Methods for Analyzing Economic Sanction Effectiveness and Their Adaptation to Assessing the Impact on Russia in New Information Context
Authors: Chernykh A. A.
Published: July 2024

The article provides a complex review of methods, which can be used to assess efficiency of anti-Russian economic sanctions focusing on problems and opportunities dealing with their application. The relevant global experience and experience of Russia in 2014-2021 were used to resolve problems of sanction classification and the idea of sanction effectiveness, as well as assessing sanction impact on economy and certain markets of target-countries, for example Russia. Apart from identifying negative aftereffects of sanctions, positive consequences were also shown. In 2022 the situation drastically changed due to unprecedented harsh economic sanctions introduced against Russia, which made the use of traditional methods of appraisal impossible. The author described restrictions of using open data, including the access to national indicators and explained why traditional methods can lead to false conclusions. In spite of new challenges for researchers, stock market still provides certain possibilities for assessing sanction impact on Russian economy.
The Impact of Meta-Universes on Business Development in Digital Economy
Authors: Panasenko S. V. , Fedyunin D. V. , Star I. A.
Published: July 2024

The article systematizes approaches to the definition of meta-universe essence as multi-dimensional spaces, which integrate multitude of virtual words, where digital copies of the real world (including business) are made, where participants can interact with each other and with surrounding objects. It was found out that meta-universes form a key trend in economy development in Russia in general and its certain branches and industries, which could foster productivity improvement and business-process optimization in the digital world. The authors analyzed examples of mixed reality (VR/AR-technologies), blockchain and crypto-currencies in Russia and abroad. Factors affecting the development of meta-universes, such as normative and legal, economic, technological, social were identified. The article enumerates risks and restrictions connected with the development of meta-universe technologies: cyberthreats and risks of big data protection, risks of the absence of common cash unit in meta-universes or rules of converting exchange means in meta-universes in usual exchange means, complexity of financing of developing technological projects due to prolonged market entering, insufficient number of experts in the field of virtual, augmented and mixed reality, blockchain, crypto-currencies, etc. The authors identified specific impact of metauniverses on the development of business in the digital environment (in virtual multi-dimensional spaces of metauniverses the pass-over to new economy of impressions speeds up and new possibilities for distance interaction are formed, the format of training and developing employees is transformed, digital doubles are built by developing accurate virtual copies of business-organizations and others). Final conclusions and recommendations were formulated concerning the necessity of taking into account the impact of normative and legal, economic, technological and social factors on business development in virtual spaces in meta-universes, as well as effective and potential threats and hazards connected with the development of economic activity in virtual spaces in order to realize potential of business in the field of new technological phenomenon of meta-universes.
A Study on Smart education and Studying tendency of digital textbook from 2004 to 2022
Authors: Kim Jin Doo ,   The Korean Publishing Science Society
Published: July 2024

This study extracted a total of 180 papers on digital textbooks published between December 2004 and July 2022, analyzing research topics, temporal patterns, research areas, research subjects, research methods, research abstract keywords, affiliated academic societies, and target subjects. The results of the study are as follows: First, research on 'digital textbook performance and educational activities' was the most prevalent, with significant concentrations during the periods of 2013-2015 and 2019-2021. Second, there were more empirical studies than theoretical studies, and quantitative analysis was more common than qualitative analysis. Third, the keywords in the abstracts were primarily focused on the digital textbook itself, teaching and learning research, and smart educational environments for digital textbook learning. Fourth, digital textbook research tends to concentrate on elementary school children and special education groups, indicating a need for more realistic and practical perspectives in expanding research.
Immediate Effects of Pencil Push-Up Exercise on Visual Accommodation Skills in Amateur Badminton Players: A Randomized Controlled Trial
Authors: Pokaisasawan Akachai , Ramyarangsi Papatsorn , Thichanpiang Peeradech , Jamkrajang Parunchaya , Mills Andrew , Jenchitr Watanee , Ajjimaporn Amornpan
Published: July 2024

Background

Visual skills are crucial for peak athletic performance, with Visual Accommodation (VA) playing a vital role. However, the immediate effects of interventions on VA in sports remain unclear.

Objective

To investigate the acute effects of a 10-minute Pencil Push-Up (PPU) exercise on VA skills in amateur badminton players.

Methods

A two-arm, parallel, randomized controlled trial was conducted with twenty-eight amateur badminton players. Participants were matched by age, duration, and frequency of badminton practice, as well as visual health, and randomly assigned to either a Trained Group (TG) or an untrained group (NT). The TG performed a 10-minute PPU exercise, while the NT rested with closed eyes for the same duration. VA parameters, including Amplitude of Accommodation (AA), Accommodative Facility (AF), and Near Point of Convergence (NPC), were assessed before and after the intervention.

Results

Significant improvements in AA and AF were observed in the TG from pre- to post-intervention (AA: p < .0001, Cohen's d = 1.68; AF: p < .0001, Cohen's d = 3.10). However, no significant changes were observed in NPC (p= .45, Cohen's d =0.60). Furthermore, the TG exhibited greater improvements in AA and AF compared to the NT at post-intervention (AA: 95%CI= [-2.812 to -0.2314], p = .02; AF: 95%CI= [-8.363 to -3.680], p < .0001). No changes were observed in the NT group.

Conclusion

A single session of pencil push-up exercise acutely enhanced visual accommodation skills, specifically amplitude of accommodation and accommodative facility, in amateur badminton players. This suggests that visual accommodation training methods like pencil push-ups could improve visual performance in sports.

Clinical Trials Registry

TCTR20240531002 (https://www.thaiclinicaltrials.org/show/TCTR20240531002).
Nanotechnology in Drug Development
Authors: Weerasinghe Laksiri , Munaweera Imalka , Kumarage Senuri
Published: July 2024

Nanotechnology plays a key role in the development of new drugs, from
start to end through target identification, lead identification, lead optimization, and
synthesis of active pharmaceutical ingredients (API) as well. Nanodevices and
nanoparticles have been extensively utilized in discovering new drug targets in illness
sites or blood and for swift screening of interactions of molecular compounds with
therapeutic targets for lead identification/optimization. In addition, API development
employing nanoparticle catalysts to expedite the drug development process and
investigating pure nanomaterials as drugs are two further areas on which the
pharmaceutical industry is concentrating. This chapter will go into great detail on how
nanotechnology is used in the drug development process, starting with the
identification of drug targets, moving on to the identification and optimization of leads,
and concluding with the synthesis of API.
Regulation, Development, and Commercialization of Nano-Based Drugs
Authors: Weerasinghe Laksiri , Munaweera Imalka , Kumarage Senuri
Published: July 2024

Nanopharmaceuticals necessitate rigorous, costly testing to address safety
concerns, including cytotoxic effects. The lack of toxicity testing protocols and
understanding of the interactions of nanomaterials make it difficult to make accurate
assessments of health risks. To meet the purpose of regulating and monitoring nano
products in pharmaceuticals, various nations have devised their suitable regulatory
processes. Approximately two decades are required for drug development, which
includes drug discovery, clinical testing, and production approval. However, only when
a novel pharmaceutical product can be mass manufactured in industrially substantial
quantities is its development considered to be accomplished. At present, nanodrugs
have already been introduced successfully to the market, demonstrating their future
potential. This chapter will provide comprehensive details about the drug development
process covering regulations, development, and commercialization of nano-based drugs
As marcas da escravidão na sociabilidade republicana na perspectiva de Manoel Bomfim e Lima Barreto (1905-1920)
Authors: Santos Patrick Silva dos , Leme Alessandro André
Published: July 2024

In this article we seek to compare the textual narratives of the physician Manoel Bomfim (1868-1932) and the writer Lima Barreto (1881-1922), produced between the years 1905 to 1920, assuming as a central question for the study the meanings and effects that slavery and abolition generated in the sociability of the First Brazilian Republic (1889-1930) according to the perspectives of these intellectuals. In this sense, it was the authors'perception in relation to the extension of these aspects formed in the midst of social relations, established in slave-owning Brazil, which were used here as elements of comparability between both authors.
The Name is Lynd, Vesper Lynd a mirror in Casino Royale
Authors: Marinez Lis Yana de Lima , Lopes Ricardo Cortez
Published: July 2024

This paper provides a comprehensive analysis of Vesper Lynd in Fleming's Casino Royale, comparing her portrayal in both the novel and its film adaptation. Through an exploration of gender representations, heroism, morality, and interpersonal dynamics, the discussion delves into the complexities of Lynd as a mirror to James Bond. It examineshow she challenges traditional gender norms and notions of heroism, while also prompting moral dilemmas for Bond. By analysing the differences between the media, it reveals the nuances of her characterization as a multifaceted character who transcends the archetype of the Bond girl, offering a profound reflection on human nature.
MENANAM DAN MENJUAL JAGUNG DEMI BERAS: PENGARUH PERUBAHAN KONSUMSI MAKANAN POKOK PADA KOMUNITAS ADAT JALAWASTU
Authors: Kurnianto Danu ,   Universitas Indonesia
Published: July 2024

The Jalawastu traditional community has had a culture of food security for centuries with white corn as the variety they cultivate for staple food. Today's reality shows that hybrid corn is a variety that has been commodified as the main agricultural product. People's behavior, on the other hand, shows that corn is now not the main choice as their staple food. The Jalawastu traditional community now uses rice as their main daily food rather than corn. Based on field research conducted in 2022, this article was prepared by analyzing several factors that have brought about economic and socio-cultural changes that have occurred over the last few decades in the Jalawastu Traditional Village. The influence of the market economy on agriculture in Jalawastu is allegedly strong in bringing about changes in their way of life and outlook on life that has actually been regulated through customary mechanisms. Apart from that, this article tries to raise any threats in realizing the food security and sovereignty of indigenous communities in Jalawastu. In the end, the author concludes that there are still efforts towards food sovereignty based on their traditional livelihood system even though there is a knowledge gap between generations regarding the symbolic value of corn.
YOUTH MOVEMENT IN INDONESIA: OMNIBUS LAW DEMONSTRATION
Authors: Anridho Claudia ,   National Chengchi University, Taiwan
Published: July 2024

Youth movement is crucial in Indonesia because since the beginning of Indonesia’s independence, the young generation has been one of the main actors. This article aims to examine the youth movement that occurred in 2020. University student groups held demonstrations against the controversial omnibus law in almost every major city in Indonesia. The protests against the job creation omnibus law, which originated as a bill, occurred across regions in Indonesia on February 12 and October 20, 2020. This youth movement to reject the omnibus law is proof that despite many societal groups rejecting the bill, the government continues with its decision due to differences in perspective. Yet, this action remains a right of young people to express their aspirations regarding the political situation in Indonesia. Differences in opinion may incite youth to demonstrate against government bills and judgments
PANGGUNG KEBERAGAMAN: MENGULIK DIVERGENSI TRADISI DALAM PERAYAAN IDUL FITRI DI YOGYAKARTA DAN BANYUWANGI
Authors: Nuha Hilwa Fitratun ,   Universitas Brawijaya, Putri Intan Ariestianti Purnama , Maulia Marsala Tsabita Natasya , Rahayuningtias Winda Eka
Published: July 2024

Tolerance and diversity in Indonesia are valuable assets and integral parts of the nation's identity. Cultural, religious, ethnic, and linguistic diversity has become a hallmark that enriches Indonesia's social and cultural panorama, laying a strong foundation for fostering social harmony and peace amidst religious and belief diversity. This is reflected in the principle of Bhinneka Tunggal Ika, which embodies the spirit of Indonesian nationalism. This article aims to explore a deep understanding of how local traditions and cultural diversity are reflected in the celebration of Eid al-Fitr in both regions. The article will present various aspects influencing the differences in Eid al-Fitr celebrations, including history, local traditions, customs, and other socio-cultural factors. The method used in this qualitative research is interview instruments. This article conveys the message of the importance of respecting and celebrating cultural diversity within Indonesian society
Naskah Catatan Harian Abdul Mugni dan Abdul Fatah sebagai Sumber Historiografi Malangbong Garut (1933 – 1990)
Authors: Nurussalam Kiki , Darsa Undang Ahmad , Sopian Rahmat
Published: July 2024

Dengan menggunakan tinjauan filologi dan historiografi, tulisan ini bertujuan untuk mengungkapkan deskripsi naskah dan kritik teks Catatan Harian Abdul Mugni dan Abdul Fatah serta mengidentifikasi ungkapan sejarah perkembangan Malangbong Garut tahun 1933 – 1990 yang terkandung di dalamnya. Metode penelitian yang digunakan adalah kualitatif yang menghasilkan data deskriptif dari hasil wawancara dan studi pustaka. Dikarenakan naskah ini belum pernah digarap dan disalin, maka metode kajian filologi yang digunakan adalah metode terhadap naskah tunggal edisi standar. Hasilnya, dalam teks naskah catatan harian ini ditemukan beberapa kasus salah tulis yang disebabkan oleh kesalahan dalam menuliskan kosakata yang berasal dari bahasa asing seperti Belanda dan Arab. Di dalamnya banyak rekaman informasi sejarah seperti Kudeta Makkah 1979, masuknya program listrik masuk desa, fenomena pergi haji, keluarga berencana, dan lain sebagainya. Dengan demikian, naskah ini dapat mengungkap sejarah perkembangan unsur-unsur budaya masyarakat Malangbong, Garut dalam kurun waktu 57 tahun berdasarkan perspektif masyarakatnya sendiri.Kata kunci: naskah, catatan harian, filologi, historiografi, Malangbong
Evaluating the Impact of a Dutch Sexual Health Intervention for Adolescents: Think-Aloud and Semistructured Interview Study
Authors: Metz Gido , Thielmann Rosa R L C , Roosjen Hanneke , Crutzen Rik
Published: July 2024

Background

Engagement with and the potential impact of web-based interventions is often studied by tracking user behavior with web analytics. These metrics do provide insights into how users behave, but not why they behave as such.

Objective

This paper demonstrates how a mixed methods approach consisting of (1) a theoretical analysis of intended use, (2) a subsequent analysis of actual use, and (3) an exploration of user perceptions can provide insights into engagement with and potential impact of web-based interventions. This paper focuses on the exploration of user perceptions, using the chlamydia page of the Dutch sexual health intervention, Sense.info, as a demonstration case. This prevention-focused platform serves as the main source of sexual and reproductive health information (and care if needed) for young people aged 12-25 years in the Netherlands.

Methods

First, acyclic behavior change diagrams were used to theoretically analyze the intended use of the chlamydia page. Acyclic behavior change diagrams display how behavior change principles are applied in an intervention and which subbehaviors and target behaviors are (aimed to be) influenced. This analysis indicated that one of the main aims of the page is to motivate sexually transmitted infection (STI) testing. Second, the actual use of the chlamydia page was analyzed with the web analytics tool Matomo. Despite the page’s aim of promoting STI testing, a relatively small percentage (n=4948, 14%) of the 35,347 transfers from this page were to the STI testing page. Based on these two phases, preliminary assumptions about use and impact were formulated. Third, to further explore these assumptions, a study combining the think-aloud method and semistructured interviews was executed with 15 young individuals aged 16-25 (mean 20, SD 2.5) years. Template analysis was used to analyze interview transcripts.

Results

Participants found the information on the Sense.info chlamydia page reliable and would visit it mostly for self-diagnosis purposes if they experienced potential STI symptoms. A perceived facilitator for STI testing was the possibility to learn about the symptoms and consequences of chlamydia through the page. Barriers included an easily overlooked link to the STI testing page and the use of language not meeting the needs of participants. Participants offered suggestions for lowering the threshold for STI testing.

Conclusions

The mixed methods approach used provided detailed insights into the engagement with and potential impact of the Sense.info chlamydia page, as well as strategies to further engage end users and increase the potential impact of the page. We conclude that this approach, which triangulates findings from theoretical analysis with web analytics and a think-aloud study combined with semistructured interviews, may also have potential for the evaluation of web-based interventions in general.
Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: Retrospective Observational Study
Authors: Mutnuri Maruthi Kumar , Stelfox Henry Thomas , Forkert Nils Daniel , Lee Joon
Published: July 2024

Background

Accurate patient outcome prediction in the intensive care unit (ICU) can potentially lead to more effective and efficient patient care. Deep learning models are capable of learning from data to accurately predict patient outcomes, but they typically require large amounts of data and computational resources. Transfer learning (TL) can help in scenarios where data and computational resources are scarce by leveraging pretrained models. While TL has been widely used in medical imaging and natural language processing, it has been rare in electronic health record (EHR) analysis. Furthermore, domain adaptation (DA) has been the most common TL method in general, whereas inductive transfer learning (ITL) has been rare. To the best of our knowledge, DA and ITL have never been studied in-depth in the context of EHR-based ICU patient outcome prediction.

Objective

This study investigated DA, as well as rarely researched ITL, in EHR-based ICU patient outcome prediction under simulated, varying levels of data scarcity.

Methods

Two patient cohorts were used in this study: (1) eCritical, a multicenter ICU data from 55,689 unique admission records from 48,672 unique patients admitted to 15 medical-surgical ICUs in Alberta, Canada, between March 2013 and December 2019, and (2) Medical Information Mart for Intensive Care III, a single-center, publicly available ICU data set from Boston, Massachusetts, acquired between 2001 and 2012 containing 61,532 admission records from 46,476 patients. We compared DA and ITL models with baseline models (without TL) of fully connected neural networks, logistic regression, and lasso regression in the prediction of 30-day mortality, acute kidney injury, ICU length of stay, and hospital length of stay. Random subsets of training data, ranging from 1% to 75%, as well as the full data set, were used to compare the performances of DA and ITL with the baseline models at various levels of data scarcity.

Results

Overall, the ITL models outperformed the baseline models in 55 of 56 comparisons (all P values <.001). The DA models outperformed the baseline models in 45 of 56 comparisons (all P values <.001). ITL resulted in better performance than DA in terms of the number of times and the margin with which it outperformed the baseline models. In 11 of 16 cases (8 of 8 for ITL and 3 of 8 for DA), TL models outperformed baseline models when trained using 1% data subset.

Conclusions

TL-based ICU patient outcome prediction models are useful in data-scarce scenarios. The results of this study can be used to estimate ICU outcome prediction performance at different levels of data scarcity, with and without TL. The publicly available pretrained models from this study can serve as building blocks in further research for the development and validation of models in other ICU cohorts and outcomes.
Sleep During the COVID-19 Pandemic: Longitudinal Observational Study Combining Multisensor Data With Questionnaires
Authors: Luong Nguyen , Mark Gloria , Kulshrestha Juhi , Aledavood Talayeh
Published: July 2024

Background

The COVID-19 pandemic prompted various containment strategies, such as work-from-home policies and reduced social contact, which significantly altered people’s sleep routines. While previous studies have highlighted the negative impacts of these restrictions on sleep, they often lack a comprehensive perspective that considers other factors, such as seasonal variations and physical activity (PA), which can also influence sleep.

Objective

This study aims to longitudinally examine the detailed changes in sleep patterns among working adults during the COVID-19 pandemic using a combination of repeated questionnaires and high-resolution passive measurements from wearable sensors. We investigate the association between sleep and 5 sets of variables: (1) demographics; (2) sleep-related habits; (3) PA behaviors; and external factors, including (4) pandemic-specific constraints and (5) seasonal variations during the study period.

Methods

We recruited working adults in Finland for a 1-year study (June 2021-June 2022) conducted during the late stage of the COVID-19 pandemic. We collected multisensor data from fitness trackers worn by participants, as well as work and sleep-related measures through monthly questionnaires. Additionally, we used the Stringency Index for Finland at various points in time to estimate the degree of pandemic-related lockdown restrictions during the study period. We applied linear mixed models to examine changes in sleep patterns during this late stage of the pandemic and their association with the 5 sets of variables.

Results

The sleep patterns of 27,350 nights from 112 working adults were analyzed. Stricter pandemic measures were associated with an increase in total sleep time (TST) (β=.003, 95% CI 0.001-0.005; P<.001) and a delay in midsleep (MS) (β=.02, 95% CI 0.02-0.03; P<.001). Individuals who tend to snooze exhibited greater variability in both TST (β=.15, 95% CI 0.05-0.27; P=.006) and MS (β=.17, 95% CI 0.03-0.31; P=.01). Occupational differences in sleep pattern were observed, with service staff experiencing longer TST (β=.37, 95% CI 0.14-0.61; P=.004) and lower variability in TST (β=–.15, 95% CI –0.27 to –0.05; P<.001). Engaging in PA later in the day was associated with longer TST (β=.03, 95% CI 0.02-0.04; P<.001) and less variability in TST (β=–.01, 95% CI –0.02 to 0.00; P=.02). Higher intradaily variability in rest activity rhythm was associated with shorter TST (β=–.26, 95% CI –0.29 to –0.23; P<.001), earlier MS (β=–.29, 95% CI –0.33 to –0.26; P<.001), and reduced variability in TST (β=–.16, 95% CI –0.23 to –0.09; P<.001).

Conclusions

Our study provided a comprehensive view of the factors affecting sleep patterns during the late stage of the pandemic. As we navigate the future of work after the pandemic, understanding how work arrangements, lifestyle choices, and sleep quality interact will be crucial for optimizing well-being and performance in the workforce.
Meal Timing and Depression Among Chinese Children and Adolescents: Cross-Sectional Study
Authors: Li Huilun , Lu Zhaohui , Zhang Erliang , Zhang Jie , Cui Shuheng , Takahashi Masaki , Xiang Mi
Published: July 2024

Background

Depression in children and adolescents is a rising concern in China. Dietary behavior is a critical determinant of mental health. Meal timing, or the schedule of meal consumption, has been related to several metabolic disorders. However, the effect of meal timing on mental health is scarce, particularly in children and adolescents who are in a critical period of physical and psychological development.

Objective

This research examined the relationship between meal timing and depression in children and adolescents in China.

Methods

Children and adolescents from grades 1 to 9 were recruited from 16 districts in Shanghai, China, from January 3 to January 21, 2020. Ten schools attended the study. A survey was distributed to the students and their parents to collect demographic and health-related information. Depression was measured by the Children’s Depression Inventory-Short Form. Breakfast consumption was analyzed as a binary outcome. Participants were defined as breakfast consumers if they never skipped breakfast during the week. They were otherwise defined as breakfast skippers if they skipped breakfast at least once per week. A similar categorization was applied to analyze food intake proximal to bed. Daily eating windows were calculated using the last food intake time frame—the first food intake time frame. Participants were classified into eating window groups of less than 10 hours, 10-12 hours, and more than 12 hours. A logistic regression model was used to compute the odds ratio (OR) and 95% CI.

Results

A total of 6874 participants were included in the analysis. Participants who skipped breakfast were associated with a 2.70 times higher occurrence of depression (OR 2.70, 95% CI 2.24‐3.26; P<.001). The prevalence of depression was 1.28 times higher in participants who ate before bed than in those who never ate before bed (OR 1.28, 95% CI 1.08‐1.50; P<.001). The occurrence of depression was 1.37 times higher if the eating time window was shorter than 10 hours (OR 1.37, 95% CI 1.08‐1.73; P=.009) and 1.23 times higher if the eating time window was longer than 12 hours (OR 1.23, 95% CI 1.01‐1.50; P=.004). The lowest occurrence of depression was observed at 11.5 hours. Subgroup analysis showed that such relationships remained significant in adolescents aged 10 years or older. In children, only skipping breakfast was associated with a higher odds of depression (OR 2.77, 95% CI 1.94‐3.96; P<.001).

Conclusions

Breakfast skipping and eating before bed significantly increase the occurrence of depression. The optimal daily eating window to lower the occurrence of depression is 11.5 hours in children and adolescents. Daily eating windows longer than 12 hours or shorter than 10 hours are associated with an elevated occurrence of depression. Current findings advocate evidence-based dietary strategies to prevent and treat depression in children and adolescents.
Natural Language Processing Versus Diagnosis Code–Based Methods for Postherpetic Neuralgia Identification: Algorithm Development and Validation
Authors: Zheng Chengyi , Ackerson Bradley , Qiu Sijia , Sy Lina S , Daily Leticia I Vega , Song Jeannie , Qian Lei , Luo Yi , Ku Jennifer H , Cheng Yanjun , Wu Jun , Tseng Hung Fu
Published: July 2024

Background

Diagnosis codes and prescription data are used in algorithms to identify postherpetic neuralgia (PHN), a debilitating complication of herpes zoster (HZ). Because of the questionable accuracy of codes and prescription data, manual chart review is sometimes used to identify PHN in electronic health records (EHRs), which can be costly and time-consuming.

Objective

This study aims to develop and validate a natural language processing (NLP) algorithm for automatically identifying PHN from unstructured EHR data and to compare its performance with that of code-based methods.

Methods

This retrospective study used EHR data from Kaiser Permanente Southern California, a large integrated health care system that serves over 4.8 million members. The source population included members aged ≥50 years who received an incident HZ diagnosis and accompanying antiviral prescription between 2018 and 2020 and had ≥1 encounter within 90‐180 days of the incident HZ diagnosis. The study team manually reviewed the EHR and identified PHN cases. For NLP development and validation, 500 and 800 random samples from the source population were selected, respectively. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), F-score, and Matthews correlation coefficient (MCC) of NLP and the code-based methods were evaluated using chart-reviewed results as the reference standard.

Results

The NLP algorithm identified PHN cases with a 90.9% sensitivity, 98.5% specificity, 82% PPV, and 99.3% NPV. The composite scores of the NLP algorithm were 0.89 (F-score) and 0.85 (MCC). The prevalences of PHN in the validation data were 6.9% (reference standard), 7.6% (NLP), and 5.4%‐13.1% (code-based). The code-based methods achieved a 52.7%‐61.8% sensitivity, 89.8%‐98.4% specificity, 27.6%‐72.1% PPV, and 96.3%‐97.1% NPV. The F-scores and MCCs ranged between 0.45 and 0.59 and between 0.32 and 0.61, respectively.

Conclusions

The automated NLP-based approach identified PHN cases from the EHR with good accuracy. This method could be useful in population-based PHN research.
ChatGPT With GPT-4 Outperforms Emergency Department Physicians in Diagnostic Accuracy: Retrospective Analysis (Preprint)
Authors: Hoppe John Michael , Auer Matthias K , Strüven Anna , Massberg Steffen , Stremmel Christopher
Published: July 2024

BACKGROUND

OpenAI’s ChatGPT is a pioneering artificial intelligence (AI) in the field of natural language processing, and it holds significant potential in medicine for providing treatment advice. Additionally, recent studies have demonstrated promising results using ChatGPT for emergency medicine triage. However, its diagnostic accuracy in the emergency department (ED) has not yet been evaluated.

OBJECTIVE

This study compares the diagnostic accuracy of ChatGPT with GPT-3.5 and GPT-4 and primary treating resident physicians in an ED setting.

METHODS

Among 100 adults admitted to our ED in January 2023 with internal medicine issues, the diagnostic accuracy was assessed by comparing the diagnoses made by ED resident physicians and those made by ChatGPT with GPT-3.5 or GPT-4 against the final hospital discharge diagnosis, using a point system for grading accuracy.

RESULTS

The study enrolled 100 patients with a median age of 72 (IQR 58.5-82.0) years who were admitted to our internal medicine ED primarily for cardiovascular, endocrine, gastrointestinal, or infectious diseases. GPT-4 outperformed both GPT-3.5 (P<.001) and ED resident physicians (P=.01) in diagnostic accuracy for internal medicine emergencies. Furthermore, across various disease subgroups, GPT-4 consistently outperformed GPT-3.5 and resident physicians. It demonstrated significant superiority in cardiovascular (GPT-4 vs ED physicians: P=.03) and endocrine or gastrointestinal diseases (GPT-4 vs GPT-3.5: P=.01). However, in other categories, the differences were not statistically significant.

CONCLUSIONS

In this study, which compared the diagnostic accuracy of GPT-3.5, GPT-4, and ED resident physicians against a discharge diagnosis gold standard, GPT-4 outperformed both the resident physicians and its predecessor, GPT-3.5. Despite the retrospective design of the study and its limited sample size, the results underscore the potential of AI as a supportive diagnostic tool in ED settings.
Correction: Habit Strength, Medication Adherence, and Habit-Based Mobile Health Interventions Across Chronic Medical Conditions: Systematic Review (Preprint)
Authors: Badawy Sherif M , Shah Richa , Beg Usman , Heneghan Mallorie B
Published: July 2024

UNSTRUCTURED
Neurophysiological Features in Women with Antenatal Depressive Symptoms: A Resting-State Quantitative Electroencephalography Study (Preprint)
Authors: Kim Hyeon Ji , Lee Daseul , Kim Jinuk , Kim Na Young , Hong Subeen , Myung Woojae , Lee Hyukjun , Park Jee Yoon
Published: July 2024

BACKGROUND

Antenatal depression, which is prevalent during pregnancy, frequently continues into the postpartum period.

OBJECTIVE

To investigate the potential neurophysiological brain changes in women exhibiting antenatal depressive symptoms by using resting-state quantitative electroencephalography (qEEG) patterns as an objective indicator.

METHODS

Pregnant women with high-risk conditions were included in this study and evaluated for antenatal depressive symptoms using the Edinburgh Postnatal Depression Scale (EPDS). They were divided into groups based on an EPDS score of 10. Resting-state qEEG recordings were obtained to assess relative power topography within classical frequency bands, comparing these measures across the two groups and examining their correlation with the EPDS scores.

RESULTS

Among 36 participants, 12 scored ≥ 10 on the EPDS, indicative of significant depressive symptoms, while 24 scored < 10. Those with scores ≥ 10 exhibited heightened beta power in the frontal areas (Fz, p = 0.049, F4, p = 0.029), along with significant alpha and theta band asymmetry at the T3/T4 (r = 0.383, p = 0.021) and P3/P4 (r = 0.369, p = 0.027) sites respectively, positively correlating with EPDS scores.

CONCLUSIONS

The distinct qEEG patterns observed in women with EPDS scores ≥ 10 highlight the potential of qEEG as an objective indicator for assessing antenatal depression.
Corrigendum to: COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis (Preprint)
Authors: Leung Tiffany , Sanchez Travis , Eysenbach Gunther
Published: July 2024

UNSTRUCTURED

Correction: COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis
Praktik Dualitas Struktur-Agensi Program Inklusi Keuangan: Studi Refleksi Organization for Women in Self Employment (WISE) Addis Ababa, Ethiopia
Authors: Rahmawati Arifah
Published: July 2024

How do we understand operationalization of structure-agency duality? This paper argues that structure-agency duality does not happen automoatically. It requires a certain intervention to facilitate its praxis. It requires intervention that is more personal instead of general; and consider carefully the unique structure around woman (with ‘a’ not ‘e’) life in order to avoid the stereotype of women as single identity.  However, despite the various structure surrounding women, there are similarity around women’s structure, namely: patriarchal norms and culture; violence against woman; and violation of woman’s right. Using reflective studies, the paper shows how financial inclusion program of Organization for Women in Self Employment (WISE) in Addis Ababa of Ethiopia serve as facilitator to the process; and enabling factor for woman’s agency . The WISE programs able to strengthen the capacity of individual woman who has to overcome the so many intersecting crises in her life that are physically and emotionally demanding. With joining the program, a vulnerable woman is able to develop her agency channelling to her mental health and well-being; as well as holding safety and care spaces. Stories from WISE members shows how economy, in this case financial aspect, could not be separated from the interest of woman, specifically whom who are vulnerable. At the same time, woman’s prosperity could only be achieved by her agency, rights and dignity in economics life.
Research Progress on the Risk and Prevention Measures of Peripheral Arterial Catheter Infection in ICU Patients
Authors: Zhang Lina , Fei Jiahui , He Gaihua , Li Yifei , Yang Xin , Yang Haixia , Fan Shanhong
Published: July 2024

Peripheral arterial catheter (PAC) is an important assistant method in the treatment of critical patients. However, the related infection risk is significantly underestimated, especially the occurrence of catheter-related bloodstream infections (CRBSI), which also affects the prognosis of patients severely. After literature review, this paper summarized the risk of PAC related infections, PAC retention and maintenance infection prevention measures, and existing problems in PAC related infection research. The progress of intervention measures was collected such as strict adherence to aseptic principles, use of maximum aseptic barrier, selection of arterial puncture site, ultrasound assisted visual puncture, combination of patch and assistant fixation device, shortening of catheter retention period, use of chlorhexidine patch, and regular education and training, to provide scientific and actionable practical guidance for the prevention and control of PAC related infections in clinical practice.
Elementos de una buena práctica sinodal y cuestiones eclesiológicas
Authors: Cabrera Reyes Heriberto Luis , García-Hjarles Giselle
Published: July 2024

The synodal themes and practices of the Church of Santiago, as systematized in four Archdiocesan documents produced between the years 2020-2022, are analyzed, delving into the ecclesiological aspects that these texts reveal. After coding, comparing, and categorizing the information they contain, the material is conceptually organized, following two interpretative tracks. The first one involves the process itself regarding good synodal ecclesiological practice consisting of continuities and discontinuities, enrichments, and novelties. In this way, the process is schematized to propose a good synodal practice. The second one implies revealing some ecclesiological shadows expressed in context forgotten, some lexical matters, scarce presence of the Bible, and absence of academic theologians.
The dynamics of perception and trust in decision-making among MSMEs: Insights from Islamic banking financing
Authors: Deswara Nida Indika
Published: July 2024

This study explores the impact of perception and trust on Micro, Small, and Medium-sized Enterprises (MSMEs) in their decisions regarding Islamic bank financing. Contrary to expectations, neither perception nor trust significantly influences MSME entrepreneurs' decisions. Negative perceptions and trust considerations do not deter MSMEs from choosing Islamic banking, with factors like convenience and efficiency playing a more pivotal role. The findings highlight the importance of streamlining processes and enhancing accessibility to financing opportunities to better serve MSMEs. Further research is needed to deepen understanding and enhance the effectiveness of Islamic banking services.
Decluttering for enhanced workplace performance: The 5S solution
Authors: Rizky Yulfani Akhmad , Khuzaini Khuzaini , Shadiq Syahrial
Published: July 2024

Excessive clutter in the work environment can significantly hinder employee performance. The more items accumulate, the harder it becomes to maintain cleanliness, leading to a dirty and disorganized workspace. According to UCLA's Centre on Everyday Lives and Families, clutter can increase stress levels by elevating cortisol, which the brain interprets as a sign of failure. This stress reduces employees' cognitive abilities, further impacting their performance. Therefore, organizations must address this issue through decluttering. The 5S methodology—Seiri (Sort), Seiton (Set in order), Seiso (Shine), Seiketsu (Standardize), and Shitsuke (Sustain)—is an effective approach for decluttering and improving the work environment. This journal employs a literature review methodology, analyzing relevant sources such as previous journals, books, and articles. The review concludes that 5S is the most practical decluttering method for organizations. Various studies have demonstrated that 5S significantly enhances employee performance. Beyond performance improvements, 5S also boosts overall organizational efficiency, including time, energy, and cost savings.
Systemic Means of Persuasion and Argument Evaluation
Authors: Będkowski Marcin , Rogowska Kinga
Published: July 2024

The paper discusses the role of systemic means of persuasion in argument evaluation. The core class of systemic means of persuasion is regress stoppers, whose fundamental function is to halt the infinite regress of justification by making claims, premises, or overall position expressed in a persuasive message more acceptable to a recipient. The paper explores how systemic means of persuasion contribute to the structure of arguments in the Toulmin model and serve as cues for heuristic processing of persuasive messages. It also presents the results of the stylometric analysis and statistical data on the usage of systemic means of persuasion in three corpora which suggest that systemic means of persuasion constitute strategies independent of the strategy based on explicit argumentation marked by inference indicators.
The effect of movies on listening comprehension for Saudi EFL students
Authors: Alqahtani Samah Abdullah , Alhamami Munassir
Published: July 2024

This study investigated the effectiveness of using movies to improve the listening skills of Saudi EFL students and their attitudes towards movie-based activities. A questionnaire was administered to 147 participants, 113 of whom were female and 34 of whom were male. The participants were divided into four age groups: 18-20 years, 21-25 years, 26-30 years, and above 30 years. Participants were required to have no history of hearing impairment or learning disabilities that may affect listening skills. Descriptive and inferential statistics were used to analyze the data. The results showed that movies had a positive impact on students' listening skills, and most participants had a positive attitude towards using movies as a learning tool. However, some challenges were also identified, such as finding appropriate movies and lacking guidance on effective movie use. The findings of this study have implications for English language teachers, providing insights into the benefits and challenges of using movies, and suggesting the need for training programs on incorporating movies into language teaching. Overall, this study contributes to understanding how technology-based tools like movies can enhance language learning outcomes.
Employing multimodal dialogic feedback on EFL tertiary students’ writing: Formative assessment framework
Authors: Thamrin Nur Sehang , Madya Suwarsih , Putro Nur Hidayanto Pancoro Setyo
Published: July 2024

Feedback is essential for improving EFL students' writing skills, even though it is still underutilized. Yet, only some studies examine multimodal dialogic feedback (MDF) on students' writing. To address the gap, this study, which employed an exploratory mixed-method, investigated the impact of MDF mediated by utilizing Google Docs and Zoom conferences as convenience platforms in a writing class among some Indonesian university learners and the impact of this MDF on the revision quality of the student texts. Furthermore, the study explored the students' perceptions of MDF from the formative assessment framework. While the quantitative method through classroom action research (CAR) with 39 students recruited purposively, examined the impact of MDF on students' writing skills, the qualitative approach using semi-structured in-person interviews with eleven students recruited conveniently, addressed the student's perceptions of the influence of MDF on their writing skills. The quantitative data were analyzed through simple descriptive statistical analyses to visualize the trend of students' improvement and the instructor's feedback. The qualitative data on the students' positive perceptions of the impact of MDF on their writing were analyzed using thematic analysis. Statistical analyses of the student's texts reveal that the student's writing skills are gradually developing. The results demonstrate how mediating MDF during teaching-learning writing affected the student's work on organization, content, language use, mechanics, and text length. Implications for writing instruction and the instructor's feedback are also discussed. Although this current study has limitations, suggestions for further research are offered.