bluuebunny/crossref_metadata_2025 huggingface dataset:
The main results of the research on the cultural layer of the Samarovsky Yam settlement (Khanty-Mansiysk)
Authors: Chikunova I.Y. , Askeyev I.V. , Shaymuratova D.N.
Published: December 2024

In 2016, archaeological excavations were carried out for the first time in the settlement of Samarovsky Yam (Khanty-Mansiysk) directed by I.Yu. Chikunova. The cultural layers of the 17th–20th centuries have been studied. This publication introduces the information and materials obtained during the excavations, and the results of the analysis of fish remains. Evidence has been found of the great flood of 1771, which left a thick sterile layer. This layer separated the cultural deposits of the 18th century. Stratigraphic data, coupled with the analysis of distribu-tion of various finds of wood, leather, metal, and molded, pottery and glazed ceramic ware, make it possible, in support of archival data, to trace on specific material the economic structure and changes in the level of economy of the first Russian population of Samarovsky Yam. Archaeoichthyological material is also a valuable informative archaeological source. The fish remains helped to clarify the species, size, age, and time of catching fish in the past. The study of the fish bone and scale remains made it possible to establish that whitefish species predomi-nated in the net fishing of the population of the Samarovsky Yam.
A escolha individual de cobertura privada de saúde em diferentes etapas do ciclo de vida em uma operadora de saúde no Brasil
Authors: De Souza Aline , Viegas Andrade Mônica , Valéria Micaela de Souza Noronha Kenya , Souza Igor Viveiros Melo
Published: December 2024

Este artigo analisa a probabilidade de permanência no plano de saúde para beneficiários de contratos individuais de uma operadora de saúde da região Sudeste do Brasil entre 2010 e 2018. Foi utilizada análise de sobrevivência para verificar o risco de o indivíduo encerrar o contrato com a operadora ou mudar para um plano mais restrito. Os principais resultados apontam que os idosos são um grupo estável, com menores chances de sair ou trocar de plano em comparação à população entre 25 e 59 anos.
Expanding the Pipeline: Exposure and Female Mentorship Increase Interest in Orthopaedic Surgery Among Female Premedical Undergraduate Students
Authors: Bergstein Victoria E. , Schmerler Jessica , Seidenstein Alexandra H. , LaPorte Dawn M.
Published: December 2024

Introduction:

Orthopaedic surgery has the greatest degree of gender disparity among all medical specialties, presenting a little-explored opportunity to recruit women into orthopaedics early in the pipeline, particularly as undergraduate students. This study aimed to characterize the opinions of female premedical students regarding orthopaedic surgery as well as to assess the effectiveness of a virtual intervention in increasing interest in or improving attitudes toward the field.

Methods:

In this prospective study, recruitment emails were sent to premedical advisors, who then circulated a survey that solicited responses from female-identifying premedical students. The survey consisted of questions about demographics, Likert scale questions about opinions of orthopaedic surgery, and an open-response section. At the end of the survey, respondents were provided the option to register for a Zoom panel, in which 4 female physicians described their experiences as women in orthopaedic surgery. Survey responses were analyzed using unpaired t tests for continuous variables and analysis of variance and Tukey's post hoc analysis for Likert scale responses.

Results:

A total of 259 female premedical students completed the survey. Respondents most strongly agreed with the statements “orthopaedics is a male-dominated field” and “I wish I learned more about orthopaedics in college.” Interest in pursuing orthopaedic surgery was greater among respondents who had undergone orthopaedic surgery, personally knew an orthopaedic surgeon, personally knew a female orthopaedic surgeon, or had shadowed in orthopaedic surgery. After attending the panel, attendees' interest in orthopaedic surgery significantly increased (p < 0.001), and attendees disagreed significantly more strongly with the notion that gender would limit their opportunities in orthopaedics (p = 0.013).

Conclusion:

Early exposure to orthopaedic surgery was consistently associated with increased interest among respondents. In addition, exposure to female orthopaedic surgeons was associated with more positive opinions of orthopaedics, and the mentorship intervention proved effective at increasing interest in the field. These results reinforce the need for targeted, early-exposure programs to recruit premedical women into orthopaedic surgery.

Level of Evidence:

Level IV. See Instructions for Authors for a complete description of levels of evidence.
Enhancing Physiotherapy Care for Touring Performing Arts Companies: A Model for Quality and Continuity
Authors: Schaeffer Marissa , Harary Jennie
Published: December 2024

Touring presents significant physical and logistical challenges for performing artists, often leading companies to seek healthcare support. This paper outlines a physiotherapy care model developed by a performing arts clinic for a touring puppet company during a 38-city US tour. The
model addressed common issues, such as lack of continuity of care, by establishing standard operating procedures (SOPs), pre-tour assessments, and the use of a unified electronic medical records (EMR) system. This ensured efficient communication among healthcare providers and improved the
quality of care. Post-tour exit interviews revealed that the continuity and structure of care positively impacted both physical and mental well-being, leading to more effective treatment sessions. The absence of time-loss injuries throughout the tour further underscored the model’s success.
The paper concludes by recommending further research to explore the long-term effects of such care models and their potential to become standard practice for touring productions.
“It’s a reasonable gamble” – rural residents’ experience participating in cancer clinical trials at a single rural trial unit.
Authors: McPhee Narelle , Hughes Diane , Ristevski Eli
Published: December 2024

Background

We conducted a qualitative study to examine what factors influence rural-residing people with cancer to participate in cancer clinical trials (CCT) and what factors influence their retention in CCT.

Methods

Purposive sampling was used to recruit participants from a regional cancer centre in Victoria, Australia, to participate in a semi-structured interview. Eligible participants were ≥18 years of age at the time of cancer diagnosis, newly consented to a clinical trial (<1 year) or have been a trial participant for ≥1 year, lived in a non-metropolitan area classified within the Monash Modified (MM) Model 2-7 and able to provide informed consent. Thematic analysis was used to analyse the interview data.

Results

Seventeen participants were interviewed; 10 identified as female and seven as male. Participant’s ages ranged from 52-77 years, with a median age of 62 years. Eight participants had been on a CCT for ≤1 and 10 for ≥ 1 year. Factors that influenced their decision to participate in a CCT included trust and confidence in clinical trial staff, exposure to and trust in the experiences of cancer peers, altruism, low-risk trials and local access to trials. The factors influencing their decision to remain in a CCT included balancing the benefits and burdens of the trial, having no doubts about participating despite knowing the risks and seeing the personal benefits of participating in a CCT.

Conclusion

Our study shows that trust-based relationships, peer support, and altruism encourage rural residents to participate in CCT. To improve access to CCT for rural residents, a multi-faceted approach involving clinicians, health services, trial sponsors and policymakers is needed. These approaches must promote and facilitate the inclusion of diverse populations, prioritise CCT participation, and inform patients of CCT opportunities. We must recognise the knowledge and
expertise of rural patients and caregivers and ensure they are involved as co-designers of future CCTs.
The Focal Mechanism and Field Investigations of Mining-induced Earthquake by Super-thick and Weak Cementation Overburden Strata Fracturing
Authors: Bai Xianxi , Cao Anye , Wang Changbin , Liu Yaoqi , Xue Chengchun , Yang Xu , Yang Yao , Wang Songwei , Hao Qi
Published: December 2024

Mining-induced earthquake (MIE) is a non-natural earthquake induced by mining activities. In Ordos mining area, super-thick and weak cementation overburden strata (STWCS) are common occurrence in Jurassic coal seam overlying strata. To explain and quantify the focal mechanism and roof fracture characteristics of MIE under the STWCS, the surface subsidence, ground borehole televiewer imaging and microseismic monitoring technologies were used to observe the fracturing of STWCS. The relative moment tensor method was also used to explore quantify focal mechanism of MIE. The results show that the development height of rock fractures increases, and the STWCS start to break when the panel below retreats along goafs. During this period, the surface stepped subsidence increases rapidly, and MIEs with magnitude above 2.0 begin to appear. The inversion matrix is constructed with the relative moment tensor method to solve the source mechanism of coal mining microearthquakes. The matrix improves the inversion efficiency and accuracy, thus being suitable for solving the focal mechanism of MIE by roof breaking. When coal seam is mined under the STWCS, the dip angle of focal rupture surface is mainly between 0°~30°, accounting for about 50% of the total. The seismic source is mainly featured with roof horizontal separation tension and roof rotation compression instability. During mining along goafs, the seismic sources displayed a tendency of upward expansion and the shear slip ruptures were more than that in the solid coal mining stage. The focal mechanism of the MIEs in SLWS Coal mine was caused by the primary and periodic tension rupture of the STWCS and shear slip rupture. With the continuous mining of the panel, there is still the possibility of another round of MIEs. The research results provide a reference for the prediction, risk assessment and disaster control of MIEs under extremely thick overburden strata.
Sodium selenite enhanced the selenium content in black soldier fly
Authors: Li Yifan , Chen Han , Zhang Yunting , Cao Shoukang , Wang Huihui , Lu Zhentao , Wu Xuezhuang
Published: December 2024

This study focuses on the effects of different levels of sodium selenite on the growth, selenium content, and antioxidant capacity of black soldier fly (Hermetia illucens). The experiment used different doses of sodium selenite for treatment. Basic diet, no supplements (control); Basic diet plus 10mg /kg Se (Se10); Basic diet plus 20mg /kg Se (Se20); Basic diet plus 30mg/kg Se (Se30); Basic diet plus 40mg/kg Se (Se40). The results show that the addition of sodium selenite significantly increases selenium content and improves selenium utilization and antioxidant capacity(P < 0.05). However, it also negatively affects growth performance and the utilization of other nutrients. The optimal level of sodium selenite supplementation should be determined to balance selenium enrichment with the overall health and productivity of black soldier fly.
Improving Hardware Trojan Detection with Transformer-Based Power Analysis
Authors: Nasr Abdurrahman , shenawy Ayman El , Mohamed Khalil , Zaki Mohamed
Published: December 2024

The prevalence of hardware trojans (HTs) poses a significant threat to the integrity and security of Integrated Circuits (ICs). Rule-based Hardware Trojan Detection (HTD) techniques are limited in their effectiveness and scalability. Many domains such as Natural Language Processing (NLP), and cybersecurity are experiencing a surge in automation with the aid of modern Generative Artificial Intelligence (GenAI) techniques such as Generative pre-trained transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), which are applied in Large Language Models (LLMs). In HTD, transformers have only recently started to receive traction. This paper proposes a novel non-destructive golden-chip free transformer-based HTD framework. The proposed framework is applied to Power Side-Channel (PSC) data. Modern generative AI techniques such as GPT, BERT, and transformers are exploited to solve the HTD problem. The proposed framework combines the power of transformer-based networks with time-series side-channel analysis to achieve efficient and accurate HTD. The side-channel data are processed by different transformer networks, including GPT, BERT, and full transformer models to classify the trojan into three main categories: Enabled, Disabled, and Triggered HTs. The proposed framework effectively analyses side-channel measurements, accurately detecting abnormal IC behaviours. The experimental results demonstrated promising and superior performance, achieving an accuracy of 87.74% in HT detection compared with existing frameworks.
Ecology and distribution of Paeonia tenuifolia species in Romania
Authors: Chirila Simona Dumitrita , Doroftei Mihai , Gigea Gabriel
Published: December 2024

Paeonia tenuifolia, a species with a limited distribution in Romania, is in decline due to anthropogenic impact. Characterized by a limited range of ecological tolerance, this species is highly vulnerable to changes induced by human activity. The study aims to present the eco-coenotic conditions and to update the distribution of the P. tenuifolia species in Romania. In this context, the records from the literature were verified. Phytocoenological relevés were also carried out in each registered population. The assessment of the state of the P. tenuifolia population was carried out according to the criteria of Article 17 of the Habitats Directive. P. tenuifolia was recorded in 14 localities in Transylvania (one record) and Dobrogea (13 records). The number of individuals / 100 m2 varied from 5 to 70. The main threats to the species are manual collection, vandalism, and overgrazing. The number of populations and individuals has decreased significantly compared to literature data. Regarding plant associations, P. tenuifolia was recorded most frequently in the associations Stipo ucrainicae-Festucetum valesiacae, Agropyro pontici-Thymetum zygioidis and Festuco rupicolae-Brachypodietum pinnati. The populations from Dobrogea occur in areas with warmer temperatures, moderate precipitation, and soils from neutral to weakly alkaline. In contrast, the population from Transylvania occurs in areas with higher elevation, colder temperatures, higher precipitation, and weakly alkaline soils. The current trend of the area occupied by the population is decreasing. The population's conservation status and changes in the surface distribution pattern of the habitat type are unfavourable-inadequate. The largest population of P. tenuifolia in Romania is in Coroana (Constanța County).
Cell-free supernatants from plant growth - promoting rhizobacteria Bacillus albus strains control Aspergillus flavus disease in peanut and maize seedlings
Authors: Trinh Lai Loi , Le Kim Ngoc , Lam Hoang Anh Le , Nguyen Hoai Huong
Published: December 2024

Background: Aspergillus flavus, a seed-borne fungal pathogen, can colonize host plants and exploit nutrients, hindering the growth of seedlings such as peanut and maize. This study investigated the effectiveness of cell-free supernatants (CFSs) from plant growth - promoting rhizobacteria (PGPR) Bacillus albus NNK24 and NDP61 in suppressing the growth of A. flavus AF1.
Results: The antifungal activity of these CFSs was attributed to their surfactant properties and chemical profile, characterized through rapid chemical assays and UHPLC-ESI-QTOF/MS combined with bioinformatic analysis using GNPS and npatlas. Identified putative antifungal compounds included two diketopiperazines (cyclo(pro-leu) and cyclo(2-hydroxy-Pro-R-Leu)), four macrolactins (7-O-succinyl macrolactin A, 7-O-methyl-5'-hydroxy-3'-heptenoate-macrolactin, macrolactin C, and macrolactin B), two siderophores (bacillibactin and petrobactin), and three lipopeptides (kurstakin 1, 2 or 3, and 4).
Both CFSs exhibited strong suppression of the harmful effects of A. flavus AF1 and seed-borne A. flavus on peanut and maize seedlings, as evidenced by significantly reduced Disease Incidence (DI) and Disease Severity Index (DSI) compared to the control. The Disease Control Efficacy (DCE) of CFS treatments was equivalent to that of commercial fungicide treatments. Additionally, all CFS treatments stimulated seed germination, vigor, seedling length, and weight in both peanut and maize, with Vigor Index (VI) values increasing by 222.4%–286% and 181.7%–216.4% relative to the negative control for peanut and maize seedlings at 7 days after treatment (DAT), respectively.
Conclusion: These results suggest that the CFSs of PGPR B. albusNNK24 and NDP61 hold promise as effective bioprotection agents in sustainable agriculture.
Overexpression of BNIP3 in renal carcinoma cells can promote apoptosis of renal carcinoma cells through HIF-1α-BNIP3-mediated autophagy
Authors: Huang Long , Wang Lin , Yuan Dan , Xu Yan , Wang Yu , Yao Kai , Zhong Xiao , Liu Quanda , Jia Kang , Lei Lei , Wang Haiyan , Liu Dongliang
Published: December 2024

This research aimed to examine the function of BNIP3(BCL2/adenovirus E1B 19 kDa interacting protein 3) overexpression in mediating autophagy and promoting apoptosis in renal cell carcinoma (RCC) and its possible molecular mechanism. The expressions of BNIP3 mRNA, BNIP3 and HIF-1α proteins in A498, 786-O, CAKI-1, ACHN, and GRC were detected by RT-qPCR (real-time quantitative polymerase chain reaction) and Western Blot, respectively. BNIP3 was overexpressed using pcDNA-BNIP3. The effects of overexpression of BNIP3 on the proliferation, invasion, and apoptosis of RCC cells was examined through various techniques including CCK-8 assay (cell counting kit-8), cloning assays, Transwell migration assays, flow cytometry analysis, and Western Blot analysis. The interaction between BNIP3, Beclin1, and BCL-2 was assessed using co-immunoprecipitation to determine their binding affinity. Immunofluorescence, transmission electron microscopy, ELISA and Western Blot were used to study the effect of BNIP3 overexpression on autophagy in RCC under normal and hypoxia conditions. The flow cytometry and Western Blot techniques were employed to assess the RCC apoptosis following administration of the autophagy inhibitor 3-MA. The impact of BNIP3 overexpression on RCC growth was measured in vitro. Subcutaneous tumor xenograft experiments were conducted by injecting 786-O cells into BALB/c nude mice. The size and weight of xenograft tumors were measured. HE staining and immunohistochemistry to analyze the cell morphology and the expression of BNIP3 and Ki67 proteins in tumors. TUNEL staining was used to observe tumor cell apoptosis. LC3-Ⅱ/Ⅰ, p62, caspase3, cleaved caspase3, and Bax proteins expression were detected by Western blot. The results showed that BNIP3 overexpressed RCC proliferation activity and invasion ability decreased, and apoptosis ability increased. Under hypoxic conditions, the activation of RCC autophagy was induced by BNIP3 through its ability to disrupt the interaction between BCL-2 and Beclin1. Activation of autophagy induced by BNIP3 was found to promote apoptosis in RCC cells, thereby expediting the progression of tumorigenesis in vivo. Collectively, these findings provide evidence for the suppressive impact of BNIP3 overexpression on tumor growth in hypoxic conditions by inducing autophagy and facilitating apoptosis in RCC cells. Moreover, this study identifies potential targets for therapeutic interventions against RCC.
Research on the influence of loading rate on the dynamic initiation fracture toughness of composite modified double-base propellant
Authors: Zheng Jian , Wu Xuan , Sun Zhengwei , Guo Zongtao , Zhang Menglong , Chen Xiong
Published: December 2024

In the field of gun launched missile extended range rocket, the propellant grain in the rocket needs to withstand significant launch loads during their firing phase, and also bear the high pressure caused by ignition, and the impact of launch overloads and ignition shocks on the structural integrity of propellants becomes very important. So this work investigated the dynamic initiation fracture toughness of the composite modified double-base (CMDB) propellant by both experiments and numerical simulations. The dynamic mechanical properties test of the cracked straight through flatten Brazilian disc (CSTFBD) specimens were conducted using a modified split Hopkinson pressure bar. By comparing the results of quasi static and dynamic numerical simulations, it was found that dynamic fracture initiation toughness can be determined by time-to-fracture using the quasi-static theory. The numerical simulation results combined with the ZWT constitutive model agree well with the experimental results. During the measurement of the mechanical response, the fracture surfaces of the dynamic test specimens were observed by electron microscopy scanning. Then the evolution of the microstructure synchronously was obtained. The scanning electron microscope result revealed that fracture modes and breakage of the ammonium perchlorate (AP) particles in the surface layer played an important role in determining the failure mechanism. The result of experimental measurement showed the influence of loading rate on the dynamic fracture initiation toughness of CMDB propellant.
Sedimentology and Geochemistry of Campanian - Maastrichtian Sandstones of Enagi Formation, Bida Basin, Nigeria
Authors: Adeoye James Adejimi , Yusuf Ishaq , Obaje Nuhu George , Usman Abubakar Alhaji , Okoro Ugochukwu Charles
Published: December 2024

The provenance, paleoenvironments, and mineralogy studies of the sandstones of the Enagi Formation at Gulu and Kandi in the Bida Basin were investigated for preliminary reservoir quality assessment. The Gulu and Kandi samples are dominantly medium-grained with moderate sorting and fine to coarse-grained with poor sorting respectively. The quartz, feldspar, and rock fragments plots with average values of 76.2%, 8.7%, and 15.1% at Gulu and 59.3%, 24.6%, and 16.2% at Kandi suggest they are litharenitic and arkosic sandstones respectively. Bivariate plots of standard deviation, skewness, and kurtosis indicate river sands with little input from tidal environments in the Gulu area. The Gulu samples are more of fluvial channel deposits and shoreface lithofacies while the Kandi samples resemble alluvial deposits of a high-energy system. Al2O3/ TiO2, Zr/ TiO2, and Y/Ni versus Cr/V of the samples suggest a felsic igneous origin with little contribution from a mafic source. K2O/Na2O against SiO2 and TiO2 against Fe2O3+MgO point to a passive margin continental environment for the sediment source. The cementation of moderately sorted, sub-mature texture and litharenitic sandstones in the Gulu area will be low compared with the Kandi poorly sorted and arkosic lithofacies at the deeper subsurface. This study for the first time reports the presence of favorable geological indices for good porosity and permeability development in the Campanian – Maastrichtian sandstone reservoir of Enagi Formation. These results will further drive exploration work in the Bida and other West African Cretaceous rift basins for prospective underground water and hydrocarbon reservoirs.
Inverse and dynamic levels of H3K4me3 and H3K27me3 regulate mouse postnatal dentate gyrus development
Authors: Zhang Zhichao , Luan Yan , Zhang Hanyue , Liu Yingfei , Zhou Jing , Li Wen , Ma Kaige , huang Chen , Chen Xinlin , Bjørås Magnar , Klungland Arne
Published: December 2024

Dentate gyrus (DG) is part of the hippocampus formation and primarily mature after birth. It undergoes rapid early development followed by a protracted developmental process and is crucial for learning and memory. This unique developmental trajectory challenge mechanistic studies and our understanding of its regulatory processes are limited. Our study demonstrates that histone H3K4me3 and H3K27me3 are essential in regulating DG development. H3K4me3, which is enriched in the subgranular zone, promotes the proliferation and differentiation of neural stem cells (NSCs) into GABAergic neurons, thereby enhancing spatial learning and memory in mice. Conversely, enhancing H3K27me3 levels exert the opposite effect, additionally driving NSCs into a quiescent-like state. Furthermore, we show that H3K4me3 and H3K27me3 co-regulate the expression of genes essential for neural development, such as GLI1, through the formation of bivalent domains. These findings indicate that H3K4me3 and H3K27me3 act as molecular “switches” governing DG development.
Deformed Wing Virus-Induced Changes in Honey bee Reception and Preference for Pollen Scents
Authors: Silva Diego , Becerra Felipe , Salazar Sebastian , Arismendi Nolberto , Alveal Juan , Ceballos Ricardo , Zapata Nelson , Vargas Marisol
Published: December 2024

Honey bees (Apis mellifera) play a crucial role in pollination, and their olfactory system is essential for food collection and source selection. This study evaluates how the Deformed Wing Virus (DWV), particularly its variant A, affects the olfactory sensitivity and behavioral responses of bees (10 to 20 days old) to volatile compounds from different pollen sources. We collected and analyzed the volatile fractions of three types of pollen (polyfloral and two monofloral) using dynamic HeadSpace and gas chromatography-mass spectrometry (GC-MS). The chemical analysis revealed differences in volatile compound profiles among the pollen types, including the presence of benzaldehyde, lilac alcohol, and 1–4 cineole, which are known to impact honey bee olfaction. Behavioral assays using a Y-olfactometer showed that while non-inoculated bees (N-DWV) responded to the aromas of all pollens in higher proportions, DWV-inoculated bees (I-DWV) exhibited significant reductions in behavioral responses. Specifically, I-DWV bees showed lower response rates, and a higher proportion of non-responding individuals compared to N-DWV bees. Notably, I-DWV bees were more attracted to the aroma of Eucryphia cordifolia when exposed simultaneously to the aroma of Rubus ulmifolius, possibly due to a self-medication behavior or a selective response to pollen with higher antiviral properties. Electrophysiological recordings indicated that DWV-A infection decreases olfactory sensitivity, particularly in response to complex odors. This decline in olfactory function and behavioral preferences could compromise foraging efficiency and overall colony health. These findings highlight the impact of DWV-A on honey bee sensory and behavioral processes, raising concerns about broader implications for colony survival and pollination services.
EMPODERAMENTO E SUBVERSÃO
Authors: Jéssica Viana Soares Miranda  , Carlos Eduardo do Vale Ortiz
Published: December 2024

O estudo examina a música ‘100% Feminista’ de MC Carol, destacando-a como um manifesto empoderador que confronta a violência contra a mulher, além dos estereótipos de gênero e raça. Utilizando as teorias da interseccionalidade (Akotirene, 2019) e de autores do Pós-Colonial, o artigo explora as conexões entre diferentes formas de opressão e as estratégias de resistência presentes na letra da canção. A metodologia baseia-se em pesquisa bibliográfica, dialogando com a Lei Maria da Penha para contextualizar a discussão. Os resultados do estudo apontam para críticas contundentes à violência e à invisibilidade das mulheres marginalizadas, enfatizando a importância da proteção e do empoderamento feminino. A discussão evidencia a música 100% Feminista como uma poderosa ferramenta de combate às desigualdades de gênero, contribuindo para a descolonização do discurso sobre a violência contra as mulheres. Ao desafiar estereótipos e ampliar a conscientização sobre as múltiplas formas de opressão enfrentadas pelas mulheres, a música de MC Carol emerge como um instrumento vital na luta por direitos e reconhecimento das mulheres marginalizadas, incentivando uma transformação social significativa.
INOVAÇÃO NA EDUCAÇÃO
Authors: Felix Dantas Silvio Mario , Ferreira da Silva Gilton Jose
Published: December 2024

Com o avanço da tecnologia, a educação vem incorporando o uso de computadores e dispositivos móveis, promovendo inovações que permitem maior autonomia e criticidade no aprendizado dos alunos, nesse contexto este estudo visou mapear e analisar os programas de computador depositados no Instituto Nacional de Propriedade Intelectual (INPI) voltados à educação, visando identificar suas aplicações no campo educacional. A pesquisa, de caráter exploratório, utilizou uma abordagem quali-quantitativa. Foram analisados 202 depósitos no INPI, filtrados com base na relevância para o ensino e aprendizagem. Após a exclusão de registros duplicados ou inválidos, 113 programas foram considerados válidos e tabulados. Observou-se um aumento significativo de depósitos a partir de 2018, com maior concentração em 2023. Os programas mais registrados estão nas áreas de ensino regular e formas de ensino, sendo a maioria aplicativos móveis (AP-01) e ferramentas de apoio (FA-01). Está pesquisa revela uma diversidade de programas educacionais registrados, com destaque para a predominância de aplicativos móveis e a participação significativa de instituições de ensino superior nos depósitos. A pesquisa enfatiza a importância da capacitação docente para o uso eficaz dessas tecnologias, propondo futuras investigações sobre a adoção de tais programas nas salas de aula.
Pemodelan spasial prediksi curah hujan melalui metode inverse distance weighting di wilayah Sumatera Barat tahun 2026
Authors: Karimah Rizkia Zulal , Azzahmi Zein Zidan , Prasetya Arif Dwi , Apsari Arin Nanda Dila , Fatah Faithfulloh , Azziz Khafidh Nur
Published: December 2024

Sumatera Barat memiliki tipe curah hujan (CH) ekuatorial yang dipengaruhi oleh keberadaan angin monsun barat laut dan tenggara.  Berdasarkan data intensitas CH tahunan pada tahun 2019 dan 2022, diketahui bahwa wilayah Sumatera Barat memiliki distribusi kelas CH yang variatif dengan kelas sedang hingga ekstrim. Tujuan dari penelitian ini yaitu untuk mengetahui proyeksi intensitas hujan tahunan pada tahun 2026 di Sumatera Barat, dengan menggunakan metode interpolasi Inverse Distance Weighting (IDW) untuk mengetahui distribusi spasialnya (wilayah). Hasil dari proyeksi intesitas CH tahunan pada tahun 2026 ini kemudian digunakan dalam menganalisis upaya-upaya mitigasi bencana hidrometeorologi seperti banjir, banjir bandang, dan tanah longsor di Sumatera Barat.
Kerawanan Gelombang Pasang terhadap Penggunaan Lahan di Kawasan Wisata Pantai Sepanjang-Drini, Pesisir Selatan Kabupaten Gunungkidul
Authors: Prabawa Bayu Argadyanto , Wahyuhana Ratika Tulus , Fatchurohman Hendy
Published: December 2024

Gunungkidul Regional Spatial Plan states that Sepanjang and Drini Beach are designated areas for tourism zone, even Drini Beach is included in the development of a Fish Landing Base in Gunungkidul. The fact is that the Sepanjang-Drini coastal area is one of the susceptible area to storm tide that occur repeatedly every year. This research aims to study the land use susceptibility in the  Sepanjang-Pantai Drini coastal area based on the storm tide model. Tidal wave analysis conducted by modeling inundation caused by run-up height of tidal waves scenario, that overlayed with land use map. The susceptible area to tidal waves based on 2.99 meter wave height scenario in the Sepanjang Coast to Drini Beach is 4.82 hectares. The land use that mostly affected by tidal waves is an open area land use of sand beach. Stalls are the ones most susceptible building to tidal waves, where there are at least 130 units located in tidal waves susceptible area.
Pemetaan Tematik Batas Wilayah RT di Kawasan Kampung Berendam Tanjungriau, Kota Batam
Authors: Roziqin Arif , Widi Pratama Rizki Widi , Gustin Oktavianto , Sari Diyan Rahma , Farhayati Diah Dwi Putri , Dewi Nanda Rahma Setia , Zibrael Muhammad Taro , Raya Fitra Kurnia , Mulia Yogi Fahda , Erwin Afifah Khairunnisa Erwin , Sunggu Feni Indriani Ani Ompu , Samaloysa Evitri Pirwanti , Manullang Labora , Ibrahim Ibrahim
Published: December 2024

Ketersediaan data geospasial batas RT di Indonesia sampai saat ini masih sangat terbatas, disebabkan oleh terkendala sumberdaya manusia dalam memetakan batas RT. Kampung Berendam merupakan salah satu kampung tua yang berlokasi di Tanjungriau, Kecamatan Sekupang, Kota Batam dan belum memiliki batas RT.  Dalam penggambilan data batas wilayah RT menggunakan Drone DJI Phantom 4 RTK, untuk mendapatkan hasil foto udara wilayah Kampung Berendam. Tujuan dari penelitian ini adalah pemetaan batas wilayah RT dan menentukan batas administrasi berdasarkan informasi di lapangan yang kemudian dipetakan sesuai dengan kaidah-kaidah kartografis. Metode yang digunakan di dalam pemetaan batas rukun tetangga (RT) adalah dengan menggunakan metode partisipatif, yaitu suatu metode berdasarkan dari informasi masyarakat setempat dalam menentukan batas wilayah. Batas rukun tetangga (RT) ini sangat penting untuk menciptakan tertib adminitrasi, dan meminimalisir terjadinya konflik. Hasil dari penelitian ini adalah Peta Batas Wilayah RT Kampung Berendam, Tanjungriau, Kota Batam, yaitu terdapat 4 batas wilayah RT, yaitu RT 03, RT 04, RT 05, RT 06, yang berada di kawasan RW 01.
Krleža o Ibleru poslije Slučaja...
Authors: Bagarić Marina
Published: December 2024

Krleža on Ibler after The Case...
Assessing Physician and Patient Agreement on Whether Patient Outcomes Captured in Clinical Progress Notes Reflect Treatment Success: Cross-Sectional Study
Authors: Floyd Sarah B , Sutton Jordyn C , Okon Marvin , McCarthy Mary , Fisher Liza , Judkins Benjamin , Reynolds Zachary Cole , Kennedy Ann Blair
Published: December 2024

Background

It remains unclear if there is agreement between physicians and patients on the definition of treatment success following orthopedic treatment. Clinical progress notes are generated during each health care encounter and include information on current disease symptoms, rehabilitation progress, and treatment outcomes.

Objective

This study aims to assess if physicians and patients agree on whether patient outcomes captured in clinical progress notes reflect a successful treatment outcome following orthopedic care.

Methods

We performed a cross-sectional analysis of a subset of clinical notes for patients presenting to a Level-1 Trauma Center and Regional Health System for follow-up for an acute proximal humerus fracture (PHF). This study was part of a larger study of 1000 patients with PHF receiving initial treatment between 2019 and 2021. From the full dataset of 1000 physician-labeled notes, a stratified random sample of 25 notes from each outcome label group was identified for this study. A group of 2 patients then reviewed the sample of 100 clinical notes and labeled each note as reflecting treatment success or failure. Cohen κ statistics were used to assess the degree of agreement between physicians and patients on clinical note content.

Results

The average age of the patients in the sample was 67 (SD 13) years and 82% of the notes came from female patients. Patients were primarily White (91%) and had Medicare insurance coverage (65%). The note sample came from fracture-related encounters ranging from the second to the tenth encounter after the index PHF visit. There were no significant differences in patient or visit characteristics across concordant and discordant notes labeled by physicians and patients. Among agreement levels ranging from poor to perfect agreement, physician and patient evaluators exhibited only a fair level of agreement in what they deemed as treatment success based on a Cohen κ of 0.32 (95% CI 0.10-0.55; P=.01). Furthermore, interpatient and interphysician agreement also demonstrated relatively low levels of agreement.

Conclusions

The findings suggest that physicians and patients demonstrated low levels of agreement when assessing whether a patient’s clinical note reflected a successful outcome following treatment for a PHF. As low levels of agreement were also observed within physician and patient groups, it is clear the definition of success varied highly across both physicians and patients. Further research is needed to elucidate physician and patient perceptions of treatment success. As outcome measurement and demonstrating the value of orthopedic treatment remain important priorities, it is important to better define and reach a consensus on what treatment success means in orthopedic medicine.
An Automated Conversational Agent Self-Help Program: Randomized Controlled Trial (Preprint)
Authors: Foran Heather M , Kubb Christian , Mueller Janina , Poff Spencer , Ung Megan , Li Margaret , Smith Eric Michael , Akinyemi Akinniyi , Kambadur Melanie , Waller Franziska , Graf Mario , Boureau Y-Lan
Published: December 2024

BACKGROUND

Health promotion and growth-based interventions can effectively improve individual well-being; however, significant gaps in access and utilization still exist.

OBJECTIVE

This study aims to develop and test the effectiveness and implementation of a new, widely targeted conversational agent prevention program (Zenny) designed to enhance well-being.

METHODS

A total of 1345 individuals in the United States were recruited online and randomly assigned to either (1) a self-help program intervention delivered via an automated conversational agent on WhatsApp or (2) an active control group that had access to evidence-based wellness resources available online. The primary outcomes were well-being (measured using the 5-item World Health Organization Well-being Scale), psychosocial flourishing (assessed with the Flourishing Scale), and positive psychological health (evaluated with the Mental Health Continuum-Short Form). Outcome measures were collected at baseline and again 1 month postassessment. All analyses were conducted using an intention-to-treat approach.

RESULTS

Both groups showed significant improvements in well-being (self-help program intervention group effect size: Cohen d=0.26, P<.001; active control group effect size: d=0.24, P<.001), psychosocial flourishing (intervention: d=0.19, P<.001; active control: d=0.18, P<.001), and positive psychological health (intervention: d=0.17, P=.001; active control: d=0.24, P<.001) at postassessment. However, there were no significant differences in effectiveness between the 2 groups (P ranged from .56 to .92). As hypothesized a priori, a greater number of days spent actively engaging with the conversational agent was associated with larger improvements in well-being at postassessment among participants in the intervention group (β=.109, P=.04).

CONCLUSIONS

The findings from this study suggest that the free conversational agent wellness self-help program was as effective as evidence-based web resources. Further research should explore strategies to increase participant engagement over time, as only a portion of participants were actively involved, and higher engagement was linked to greater improvements in well-being. Long-term follow-up studies are also necessary to assess whether these effects remain stable over time.

CLINICALTRIAL

ClinicalTrials.gov NCT06208566; https://clinicaltrials.gov/ct2/show/NCT06208566; OSF Registries osf.io/ahe2r; https://doi.org/10.17605/osf.io/ahe2r
Modeling Exercise-Related Glycemic Events in Type 1 Diabetes: Towards a Practical Decision Support Tool (Preprint)
Authors: Ma Sisi , Coopergard Ryan , Clements Mark , Chow Lisa
Published: December 2024

BACKGROUND

Background: Exercise is an important aspect of diabetes self-management. Patients with type 1 diabetes frequently struggle with exercise-induced hyperglycemia and hypoglycemia, decreasing their willingness to exercise.

OBJECTIVE

Objective: We aim to build accurate and easy-to-deploy models to forecast exercise-induced glycemic events in real-world settings.

METHODS

Methods: We analyzed free-living data from the Type 1 Diabetes Exercise Initiative (T1DEXI) study, where adults with type 1 diabetes wore a continuous glucose monitor (CGM) while performing video-guided exercises (30-minute exercises at least 6 times over 4 weeks), along with concurrent detailed phenotyping of their insulin program and diet. We built models to predict glycemic events (blood glucose ≤ 54 mg/dL, ≤ 70 mg/dL, ≥ 200 mg/dL, and ≥ 250 mg/dL) during and 1-hour post-exercise with variables from four data modalities: demographic and clinical; CGM; carbohydrate intake and insulin administration; and exercise type, duration and intensity.

RESULTS

Results: Models incorporating information from all four data modalities showed excellent predictive performance with AUCs > 0.880 for all glycemic events. Models built with CGM data alone have statistically indistinguishable performance compared to models using all data modalities. These models also showed outstanding calibration (Brier score ≤ 0.08) and resilience to noisy input.

CONCLUSIONS

Conclusion: We successfully constructed models to forecast exercise-induced glycemic events using only automatically captured CGM data as input, incurring minimal user burden. These models showed excellent predictive performance, calibration, and robustness, enabling model translation into a decision support tool that is easy to deploy and maintain.
Effectiveness of VR and Traditional Training in Medical Education for Mass Casualty Management: An OSCE Evaluation (Preprint)
Authors: Zhe Li , Liwen Lyu , Wan Chen , Guozheng Qiu , Lei Shi , Yutao Tang , Xibin Xu , Sanshan Zhu
Published: December 2024

BACKGROUND

Effective training in mass casualty incidents (MCIs) is crucial for medical students, particularly in scenarios such as road traffic accidents. Traditional lecture-based training is common, while VR offers immersive and potentially superior learning. This study evaluates VR-based training against traditional methods to determine which approach better enhances both theoretical knowledge and practical skills in MCI management.

OBJECTIVE

This study aimed to evaluate the effectiveness of VR-based training compared to traditional lecture-based training for medical students in managing MCIs, specifically focusing on road traffic accidents. The primary assessment was performed using an Objective Structured Clinical Examination (OSCE) and a theoretical knowledge test

METHODS

A randomized controlled trial was conducted with 46 medical students receiving emergency medicine training. Participants were randomly assigned to either a VR group or a traditional lecture group, with each group receiving a 2-hour training session on mass casualty management. The training effectiveness was evaluated through pre- and post-training knowledge tests, OSCE performance, and post-training feedback questionnaires. Statistical analyses were performed to compare the two groups

RESULTS

Baseline characteristics were well-matched between groups. The VR group demonstrated significantly higher post-test scores (83.96 ± 13.11) compared to the traditional group (72.17 ± 20.89, p = 0.03). The learning gain was also significantly greater in the VR group (40.26 ± 15.61) compared to the traditional group (28.26 ± 17.04, p = 0.02). OSCE results showed the VR group consistently outperformed the traditional group across all stations, with significant improvements in triage, injury assessment, and overall scene management. Additionally, feedback from the post-training questionnaire revealed that the VR group reported greater confidence in performing critical tasks

CONCLUSIONS

VR-based training offers a more effective and engaging approach for teaching mass casualty management compared to traditional methods. It enhances both theoretical knowledge and practical skills, helping to better prepare students for high-pressure scenarios such as MCIs. As VR technology continues to evolve, its integration into medical education holds strong potential for improving preparedness and clinical performance in emergency settings
AI Generation Of Evidence Summaries: A Descriptive Study Of The Comparability With Human Annotations (Preprint)
Authors: Colder Carras Michelle , Qureshi Riaz , Aldayel Faisal , Date Mayank , AlJuboori Dahlia , Thrul Johannes
Published: December 2024

BACKGROUND

Annotated bibliographies comprise summaries of relevant literature, and training, experience, and time is required to create useful annotations. However, summaries generated by artificial intelligence (AI) can contain serious errors.

OBJECTIVE

We compared the quality of human- and AI-generated annotations directly to determine strengths and weaknesses of both.

METHODS

We compared five criteria (word count, readability, capture of main points, presence of errors, broader contextualization/quality) between human- and native ChatGPT-produced annotations for 15 academic papers using descriptive statistics and non-parametric testing.

RESULTS

Humans produced shorter annotations (90.20 vs 111.47 words, Z= 2.82, P=.01) with better readability than AI (15.25 vs. 8.03, Z= -2.28, P=.02), although readability was low for all annotations. There was no difference in the capture of main points (X2 = 6.12, P=.18)
or presence of errors (X2 = 5.27, P=.16). AI-produced annotations provided better contextualization than human annotations (X2 = 11.28, P <.001).

CONCLUSIONS

AI-produced summaries of academic literature are comparable to human annotations. Annotations generated by AI and verified by humans should reduce the time needed to produce summaries on a given subject.
Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: A Scoping Review Protocol (Preprint)
Authors: Attin Mina , Shareef Bryar , Appiah-Agyei Nelson , Mahamud Rini Farzana , Goodman Xan , Bredesky Lauren , Chavez Jonathan , Mohammed Rawa , Batra Kavita
Published: December 2024

BACKGROUND

In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients’ pre-arrest pathophysiological status, predictive, and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.

OBJECTIVE

This scoping review aims to synthesize and critically evaluate the quality and quantity of clinical features and machine learning (ML) models for predicting IHCA. The review will evaluate temporal characteristics, predictive and prognostic values of pre-arrest clinical features, and model performance metrics.

METHODS

Following PRISMA-ScR guidelines, peer-reviewed studies from April 2009 to April 2024 using ML to predict IHCA will be included. Data sources include PubMed, Web of Science, IEEE, and Embase. Two reviewers will independently screen, extract, and assess the quality of included studies. Data will be synthesized using descriptive statistics and narrative summaries.

RESULTS

The review will provide insights into common clinical predictors, data quantity and quality, and ML model metrics for IHCA prediction. Findings will identify gaps and offer practical recommendations for standardizing clinical features in ML modeling.

CONCLUSIONS

This study will contribute to advancing ML applications for IHCA prediction by addressing data challenges and promoting standardization to improve clinical decision-making process.