bluuebunny/crossref_metadata_2025 huggingface dataset:
Model and Analysis of Pump-Stopping Pressure Drop with Consideration of Hydraulic Fracture Network in Tight Oil Reservoirs
Authors: Wang Mingxing , Zhu Jian , Wang Junchao , Wei Ziyang , Sun Yicheng , Li Yuqi , Wu Jiayi , Wang Fei
Published: November 2023

The existing pump-stopping pressure drop models for the hydraulic fracturing operation of tight oil reservoirs only consider the main hydraulic fracture and the single-phase flow of fracturing fluid. In this paper, a new pump-stopping pressure drop model for fracturing operation based on coupling calculation of the secondary fracture and oil-water two-phase flow is proposed. The physical model includes the horizontal wellbore, the fracture network and the tight oil reservoir. Through the numerical simulation and calculation, the wellbore afterflow performance, the crossflow performance between the main hydraulic fracture and the secondary fracture, the fracturing fluid leakoff and the oil-water replacement after termination of pumping are obtained. The pressure drop characteristic curve is drawn out by the bottom-hole flow pressure calculated through the numerical simulation, and a series of analyses are carried out on the calculated pressure drop curve, which is helpful to diagnose the -oil-water two-phase flow state and the fracture closure performance under the control of the fracture network after hydraulic fracturing pumping. Finally, taking a multi-stage fractured horizontal well in a tight oil reservoir in the Junggar basin, China as an example, the pump-stopping pressure drop data of each stage after hydraulic fracturing are analyzed. Through the history fitting of the pressure drop characteristic curve, the key parameters such as fracture network parameters, which include the half-length of main hydraulic fracture, the conductivity of main hydraulic fracture and the density of secondary fracture, the fracture closure pressure are obtained by inversion, thus, the hydraulic fracturing effect of fractured horizontal well in tight oil reservoirs is further quantified.
The Imperative of Regulation: The Co-Creation of a Medical and Non-Medical US Opioid Crisis
Authors: Pieters Toine
Published: November 2023

The ravaging COVID-19 pandemic has almost pushed into oblivion the fact that the United States is still struggling with an immense addiction crisis. Drug overdose deaths rose from 16,849 in 1999 to nearly 110,000—of which an estimated 75,000 involved opioids—in 2022. On a yearly basis, the opioid casualty rate is higher than the combined number of victims of firearm violence and car accidents. The COVID-19 epidemic might have helped to worsen the addiction crisis by stimulating drug use among adolescents and diverting national attention to yet another public health crisis. In the past decade, the sharpest increase in deaths occurred among those related to fentanyl and fentanyl analogs (illicitly manufactured, synthetic opioids of greater potency). In the first opioid crisis wave (1998–2010), opioid-related deaths were mainly associated with prescription opioids such as Oxycontin (oxycodone hydrochloride). The mass prescription of these narcotic drugs did anything but control the pervasive phenomenon of ‘addiction on prescription’ that played such an important role in the emergence and robustness of the US opioid crisis. Using a long-term drug lifecycle analytic approach, in this article I will show how opioid-producing pharmaceutical companies created a medical market for opioid painkillers. They thus fueled a consumer demand for potent opioid drugs that was eagerly capitalized on by criminal entrepreneurs and their international logistic networks. I will also point out the failure of US authorities to effectively respond to this crisis due to the gap between narcotic product regulation, regulation of marketing practices and the rise of a corporate-dominated health care system. Ironically, this turned the most powerful geopolitical force in the war against drugs into its greatest victim. Due to formulary availability and regulatory barriers to accessibility, European countries have been relatively protected against following suit the US opioid crisis.
Laminated Flow-Cell Detector with Granulated Scintillator for the Detection of Tritiated Water
Authors: Dixon Nile E. J. , Monk Stephen D. , Graham James , Cheneler David
Published: November 2023

Nuclear sites require regular measurements of the air, soil, and groundwater to ensure the safety of the surrounding environment from potentially hazardous levels of contamination. Although high-energy beta and gamma emitters can often be detected instantly using fixed dosimeters, the detection of low-energy beta emitters is a difficult challenge, especially in groundwater, as its radiation is easily self-absorbed by the surrounding medium. Therefore, it is common practice to sample groundwater and transfer it to a laboratory for analysis using Liquid Scintillation Counting. This work demonstrates a new detector design for the real-time monitoring of tritiated water, a weak beta emitter. This design utilizes a flow cell filled with a granulated scintillator to maximize the surface area of the sample. The cavity is made from plastic sheets, which allow rapid manufacture using readily available lamination sheets. A column of SiPMs in coincidence counting mode has been implemented to reduce noise and allow future extensions to the flow cell for greater detection rates while allowing the detector to fit within limited spaces such as groundwater monitoring boreholes. Using multiple concentrations of tritiated water, this detector has been validated and calibrated, obtaining a minimum detection activity of 26.356 ± 0.889 Bq/mL for a 1-day counting period.
Polar Cloud Detection of FengYun-3D Medium Resolution Spectral Imager II Imagery Based on the Radiative Transfer Model
Authors: Dong Shaojin , Gong Cailan , Hu Yong , Zheng Fuqiang , He Zhijie
Published: November 2023

The extensive existence of high-brightness ice and snow underlying surfaces in polar regions presents notable complexities for cloud detection in remote sensing imagery. To elevate the accuracy of cloud detection in polar regions, a novel polar cloud detection algorithm is proposed in this paper. Employing the MOD09 surface reflectance product, we compiled a database of monthly composite surface reflectance in the shortwave infrared bands specific to polar regions. Through the forward simulation of the correlation between the apparent reflectance and surface reflectance across diverse conditions using the 6S (Second Simulation of the Satellite Signal in the Solar Spectrum) radiative transfer model, we established a dynamic cloud detection model for the shortwave infrared channels. In contrast to a machine learning algorithm and the widely used MOD35 cloud product, the algorithm introduced in this study demonstrates enhanced congruence with the authentic cloud distribution within cloud products. It precisely distinguishes between the cloudy and clear-sky pixels, achieving rates surpassing 90% for both, while maintaining an error rate and a missing rate each under 10%. The algorithm yields positive results for cloud detection in polar regions, effectively distinguishing between ice, snow, and clouds. It provides robust support for comprehensive and long-term cloud detection efforts in polar regions.
Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic Segmentation in Google Earth Engine
Authors: Kilbride John , Poortinga Ate , Bhandari Biplov , Thwal Nyein , Quyen Nguyen , Silverman Jeff , Tenneson Karis , Bell David , Gregory Matthew , Kennedy Robert , Saah David
Published: November 2023

Satellite-based forest alert systems are an important tool for ecosystem monitoring, planning conservation, and increasing public awareness of forest cover change. Continuous monitoring in tropical regions, such as those experiencing pronounced monsoon seasons, can be complicated by spatially extensive and persistent cloud cover. One solution is to use Synthetic Aperture Radar (SAR) imagery acquired by the European Space Agency’s Sentinel-1A and B satellites. The Sentinel 1A and B satellites acquire C-band radar data that penetrates cloud cover and can be acquired during the day or night. One challenge associated with operational use of radar imagery is that the speckle associated with the backscatter values can complicate traditional pixel-based analysis approaches. A potential solution is to use deep learning semantic segmentation models that can capture predictive features that are more robust to pixel-level noise. In this analysis, we present a prototype SAR-based forest alert system that utilizes deep learning classifiers, deployed using the Google Earth Engine cloud computing platform, to identify forest cover change with near real-time classification over two Cambodian wildlife sanctuaries. By leveraging a pre-existing forest cover change dataset derived from multispectral Landsat imagery, we present a method for efficiently developing a SAR-based semantic segmentation dataset. In practice, the proposed framework achieved good performance comparable to an existing forest alert system while offering more flexibility and ease of development from an operational standpoint.
Remote Sensing-Based Hydro-Extremes Assessment Techniques for Small Area Case Study (The Case Study of Poland)
Authors: Birylo Monika , Rzepecka Zofia
Published: November 2023

Meteorological hazards, such as floods, can develop rapidly and are usually a local phenomenon. On the other hand, drought is a phenomenon arising over longer periods. Moreover, it occurs in areas that are remarkably diverse in terms of surface area. Drought has a massive impact on agriculture, socio-economic activities, and the natural environment. However, determining the losses associated with the phenomenon of drought and its identification is complicated. The aim of this paper is to identify and quantify droughts using climatic indices, which include the combined climatologic deviation index, groundwater drought index, water storage deficit index and multivariate standardized drought index. Based on the research, it was concluded that the CCDI, GGDI, WSDI, and MSDI indicators can be a useful tool, on the basis of which it was possible to analyze drought periods. These periods were not related to changes and loss of groundwater, but resulted from low rainfall and snowfall.
Rooftop PV Segmenter: A Size-Aware Network for Segmenting Rooftop Photovoltaic Systems from High-Resolution Imagery
Authors: Wang Jianxun , Chen Xin , Shi Weiyue , Jiang Weicheng , Zhang Xiaopu , Hua Li , Liu Junyi , Sui Haigang
Published: November 2023

The photovoltaic (PV) industry boom has accelerated the need for accurately understanding the spatial distribution of PV energy systems. The synergy of remote sensing and artificial intelligence presents significant prospects for PV energy monitoring. Currently, numerous studies have focused on extracting rooftop PV systems from airborne or satellite imagery, but their small-scale and size-varying characteristics make the segmentation results suffer from PV internal incompleteness and small PV omission. To address these issues, this study proposed a size-aware deep learning network called Rooftop PV Segmenter (RPS) for segmenting small-scale rooftop PV systems from high-resolution imagery. In detail, the RPS network introduced a Semantic Refinement Module (SRM) to sense size variations of PV panels and reconstruct high-resolution deep semantic features. Moreover, a Feature Aggregation Module (FAM) enhanced the representation of robust features by continuously aggregating deeper features into shallower ones. In the output stage, a Deep Supervised Fusion Module (DSFM) was employed to constrain and fuse the outputs at different scales to achieve more refined segmentation. The proposed RPS network was tested and shown to outperform other models in producing segmentation results closer to the ground truth, with the F1 score and IoU reaching 0.9186 and 0.8495 on the publicly available California Distributed Solar PV Array Dataset (C-DSPV Dataset), and 0.9608 and 0.9246 on the self-annotated Heilbronn Rooftop PV System Dataset (H-RPVS Dataset). This study has provided an effective solution for obtaining a refined small-scale energy distribution database.
Guided Direct Time-of-Flight Lidar Using Stereo Cameras for Enhanced Laser Power Efficiency
Authors: Taneski Filip , Gyongy Istvan , Al Abbas Tarek , Henderson Robert K.
Published: November 2023

Self-driving vehicles demand efficient and reliable depth-sensing technologies. Lidar, with its capability for long-distance, high-precision measurement, is a crucial component in this pursuit. However, conventional mechanical scanning implementations suffer from reliability, cost, and frame rate limitations. Solid-state lidar solutions have emerged as a promising alternative, but the vast amount of photon data processed and stored using conventional direct time-of-flight (dToF) prevents long-distance sensing unless power-intensive partial histogram approaches are used. In this paper, we introduce a groundbreaking ‘guided’ dToF approach, harnessing external guidance from other onboard sensors to narrow down the depth search space for a power and data-efficient solution. This approach centers around a dToF sensor in which the exposed time window of independent pixels can be dynamically adjusted. We utilize a 64-by-32 macropixel dToF sensor and a pair of vision cameras to provide the guiding depth estimates. Our demonstrator captures a dynamic outdoor scene at 3 fps with distances up to 75 m. Compared to a conventional full histogram approach, on-chip data is reduced by over twenty times, while the total laser cycles in each frame are reduced by at least six times compared to any partial histogram approach. The capability of guided dToF to mitigate multipath reflections is also demonstrated. For self-driving vehicles where a wealth of sensor data is already available, guided dToF opens new possibilities for efficient solid-state lidar.
Measuring the Outcome of Perpetrator Programmes through a Contextualised and Victim-Centred Approach: The Impact Project
Authors: Vall Berta , Morcillo Jaume Grané , Pauncz Alessandra , Hester Marianne
Published: November 2023

Intimate partner violence (IPV) is a public health and widespread problem, and perpetrator programmes are in a unique position to prevent it. Research on the outcomes of perpetrator programmes has advanced in recent years, but still some challenges remain. These challenges include the absence of measures related to survivor safety and wellbeing as well as the impact on the victim. Additionally, other contextual measures, such as motivation to change or taking responsibility, are typically not included in outcome studies. The Impact Outcome Monitoring Toolkit was developed to help overcome these challenges. The participants were 444 men enrolled in a perpetrator programme and their (ex-)partners (n = 272). The results showed that all types of violence were reduced significantly in terms of both frequency and presence, as reported by both the men enrolled in the programme and their (ex-)partners. The impact of violence had been reduced for (ex-)partners, but some still suffered impacts and felt afraid. The results on the impact of violence on children and improved parenting were quite concerning. The Impact Toolkit makes it possible to measure the outcomes of perpetrator programmes in a contextualised manner and has shown promising results, supporting the inclusion of survivor-centric outcome measures.
Evaluation of the Coupling Synergy Degree of Inland Ports and Industries along the Yangtze River
Authors: Wan Yu , Huang Chengfeng , Zhou Wenwen , Liu Mingwu
Published: November 2023

This paper takes the two subsystems of inland ports and industries along the Yangtze River as a composite system as a research object, providing insight into the influence of the development efficiency of inland ports along the Yangtze River and the coupling and synergy degree of industry. Firstly, the coupling synergy effect of the inland port industry is qualitatively expounded, and secondly, the entropy weight TOPSIS method is used to construct a coupling coordination model to analyze the measurement of the development efficiency and industrial coupling synergy relationship between inland ports along the Yangtze River. Twelve cities along the Yangtze River were selected as examples, the coupling synergy degree of their ports was evaluated by referring to the comprehensive port development synergy index from 2010 to 2019, and the development levels and evolution processes of the different cities were compared and analyzed. The coupling synergy development of the inland port industry along the Yangtze River can provide a basis for the problems and countermeasures faced by the integrated development of the inland port industry along the Yangtze River.
Competencies and Capabilities for the Management of Sustainable Rural Development Projects in the Value Chain: Perception from Small and Medium-Sized Business Agents in Jauja, Peru
Authors: Jiménez Aliaga Ronald , De los Ríos-Carmenado Ignacio , Huamán Cristóbal Amparo Elena , Aliaga Balbín Hélida , Marroquín Heros Alexander Martín
Published: November 2023

The guinea pig value chain in Jauja, Peru, has been developed through the application of productive projects, institutional strengthening, and implementation of the Principles of Responsible Investment in Agriculture and Food Systems (CFS-RAI). Given the smallholding conditions of the Jauja territory and the proliferation of commercial guinea pig breeding, the actors in this chain constitute a key human capital for development. To improve the performance of the actors in the sustainable rural development of the territory of Jauja, Peru, the research carried out an evaluation of the competencies and capabilities for project management in 46 actors linked to the business programme on the CFS-RAI Principles, representing 1094 people in the guinea pig value chain in Jauja, using the Working With People (WWP) model and empirical instruments based on the Octagon method, project management competence evaluation, performance evaluation carried out by experts, attitudinal evaluation. and the Business Model Canvas. The results have helped to structure the actors of the value chain, who show an intermediate mastery of project management competencies (2.73/5), institutional capabilities in development (2.89/7), and a growing organisational management performance (26.2/100). In addition, trust and proactivity have been generated among the actors in the chain, with an interest in continuing with the implementation of the CFS-RAI Principles in order to achieve sustainability in their productive projects with commercial innovation. The results have allowed us to generate the design of an innovative programme for the development of competencies, which balances the three dimensions of project management competencies (perspective, people, and practice), as defined by the International Project Management Association (IPMA), in connection with the CFS-RAI Principles. Both processes complement the strengthening of human capital in agrifood value chains through sustainable project management and contributing to sustainable development in the region.
Assessing the Feasibility of Eco-Industrial Parks in Developing Countries: A Case Study of Thang Long II Industrial Park in Vietnam
Authors: Thanh Tran Thi Mai , Huong Do Dieu , Long Nguyen Duc , Dat Nguyen Duy , Huyen Mai Thanh , Cuong Hoang Cao
Published: November 2023

Eco-industrial parks (EIPs) exemplify sustainable industrial development by maximizing resource efficiency through waste material reuse. However, their global implementation encounters challenges. This paper introduces two key contributions to the EIP literature. Firstly, it presents a simple, interdisciplinary framework for assessing the feasibility of transitioning to or establishing new EIPs. Secondly, it applies this framework to evaluate EIP development in Vietnam, focusing on Thang Long Industrial Park II (TLIPII) as a case study and drawing implications for other developing nations. TLIPII is remarkable for its adherence to national environmental standards, with a dual status of partial occupancy and ongoing infrastructure development. This study suggests the potential for a partial EIP transition in the occupied area and establishing a new EIP in the remaining portion. Yet substantial challenges persist due to institutional barriers like the absence of incentive policies, specific implementation guidance, and environmental regulations. TLIPIIs case underscores crucial success factors for EIP development: active stakeholder engagement, a comprehensive EIP management framework, clear stakeholder responsibilities, and the involvement of local-level actors. It also highlights the importance of flexible environmental regulations, incentives, robust stakeholder engagement, and well-defined policy frameworks. These lessons from TLIPII can inform actionable policy recommendations for other developing countries. By applying these insights, these nations can chart a roadmap for sustainable industrialization while addressing the challenges and opportunities of the EIP model.
Seneca Valley Virus Degrades STING via PERK and ATF6-Mediated Reticulophagy
Authors: Bai Ling , Zhang Rui , Zheng Haixue , Zhang Zhixiong , Zhang Zhidong , Li Yanmin
Published: November 2023

Seneca Valley Virus (SVV), a member of the Picornaviridae family, is an emerging porcine virus that can cause vesicular disease in pigs. However, the immune evasion mechanism of SVV remains unclear, as does its interaction with other pathways. STING (Stimulator of interferon genes) is typically recognized as a critical factor in innate immune responses to DNA virus infection, but its role during SVV infection remains poorly understood. In the present study, we observed that STING was degraded in SVV-infected PK-15 cells, and SVV replication in the cells was affected when STING was knockdown or overexpressed. The STING degradation observed was blocked when the SVV-induced autophagy was inhibited by using autophagy inhibitors (Chloroquine, Bafilomycin A1) or knockdown of autophagy related gene 5 (ATG5), suggesting that SVV-induced autophagy is responsible for STING degradation. Furthermore, the STING degradation was inhibited when reticulophagy regulator 1 (FAM134B), a reticulophagy related receptor, was knocked down, indicating that SVV infection induces STING degradation via reticulophagy. Further study showed that in eukaryotic translation initiation factor 2 alpha kinase 3 (PERK)/activating transcription factor 6 (ATF6) deficient cells, SVV infection failed to induce reticulophagy-medaited STING degradation, indicating that SVV infection caused STING degradation via PERK/ATF6-mediated reticulophagy. Notably, blocking reticulophagy effectively hindered SVV replication. Overall, our study suggested that SVV infection resulted in STING degradation via PERK and ATF6-mediated reticulophagy, which may be an immune escape strategy of SVV. This finding improves the understanding of the intricate interplay between viruses and their hosts and provides a novel strategy for the development of novel antiviral drugs.
Epidemiological and Genomic Analysis of Asymptomatic SARS-CoV-2 Infections during the Delta and Omicron Epidemic Waves in São Paulo City, Brazil
Authors: Slavov Svetoslav N. , Lima Alex R. J. , Ribeiro Gabriela , de Lima Loyze P. O. , Barros Claudia R. dos S. , Marqueze Elaine C. , Martins Antonio J. , Martininghi Maiara , Palmieri Melissa , Caldeira Luiz A. V. , Silva Fabiana E. V. da , Cacherik Giselle , Nicolodelli Aline L. , Kashima Simone , Giovanetti Marta , Alcantara Luiz Carlos Junior , Sampaio Sandra C. , Elias Maria C.
Published: November 2023

We examined the asymptomatic rates of SARS-CoV-2 infection during the Delta and Omicron waves in the city of São Paulo. Nasopharyngeal swabs were collected at strategic points of the city (open-air markets, bus terminals, airports) for SARS-CoV-2 RNA testing. Applying the questionnaire, the symptomatic individuals were excluded, and only asymptomatic cases were analyzed. During the Delta wave, a total of 4315 samples were collected, whereas 2372 samples were collected during the first Omicron wave. The incidence of the asymptomatic SARS-CoV-2 infection was 0.6% during the Delta wave and 0.8% during the Omicron wave. No statistical differences were found in the threshold amplification cycle. However, there was a statistical difference observed in the sublineage distribution between asymptomatic and symptomatic individuals. Our study determined the incidence of asymptomatic infection by monitoring individuals who remained symptom-free, thereby providing a reliable evaluation of asymptomatic SARS-CoV-2 carriage. Our findings reveal a relatively low proportion of asymptomatic cases, which could be attributed to our rigorous monitoring protocol for the presence of clinical symptoms. Investigating asymptomatic infection rates is crucial to develop and implement effective disease control strategies.
Japanese Encephalitis Vaccine Acceptance and Strategies for Travelers: Insights from a Scoping Review and Practitioners in Endemic Countries
Authors: Asawapaithulsert Punyisa , Ngamprasertchai Thundon , Kitro Amornphat
Published: November 2023

Japanese encephalitis (JE) remains the cause of vaccine-preventable encephalitis in individuals living in endemic areas and international travelers. Although rare, the disease’s high fatality rate emphasizes the need for effective immunization. This review aims to provide updated data on the JE burden between 2017 and 2023, vaccine acceptance, and vaccine strategies for travelers. We prospectively identified studies, using MEDLINE and PubMed, published through 2023. JE incidence has decreased in local populations and remains low among travelers from non-endemic countries. The local JE risk cannot be utilized to determine traveler risk. Adult travelers naïve to JEV infection or immunization may be at potentially higher risk. The JE vaccine acceptance rates among international travelers visiting JE endemic areas range from 0.2% to 28.5%. The cost of the vaccine and low risk perception could be barriers to JE vaccination. For travelers, an accelerated two-dose regimen of inactivated Vero cell JE vaccine (JE-VC) or a single dosage of live attenuated JE vaccine (JE-LV) may be an option. In conclusion, the JE burden among residents and travelers is lower, but the risk is not negligible. Practitioners should prioritize sharing knowledge, increasing awareness, and promoting vaccinations and preventive measures to reduce tourists’ risk of JE along their journey.
Understanding COVID-19 Vaccine Uptake and Hesitancy among People with HIV in Freetown, Sierra Leone: A Cross-Sectional Study
Authors: Cummings Peterlyn E. , Lakoh Sulaiman , Yendewa Sahr A. , Massaquoi Samuel P. E. , James Peter B. , Sahr Foday , Deen Gibrilla F. , Salata Robert A. , Gevao Pelema , Yendewa George A.
Published: November 2023

People with HIV (PWH) incur a higher risk of COVID-19-related morbidity and mortality rates, yet less is known about COVID-19 vaccine uptake and hesitancy in this group. We conducted a cross-sectional study in Freetown, Sierra Leone, from April to June 2022, using the VAX scale, a validated instrument, to assess attitudes towards COVID-19 vaccination and calculate the hesitancy (VAX) scores. We used generalized linear models to identify the factors associated with vaccine hesitancy. Overall, 490 PWH were enrolled (71.4% female, median age: 38 years, median CD4 count: 412 cells/mm3). About 17.3% received ≥1 dose of a COVID-19 vaccine. The mean VAX score was 43.14 ± 7.05, corresponding to 59.9% participants being vaccine-hesitant. A preference for natural immunity (65.8%) and concerns about profiteering (64.4%) were the commonest reasons for hesitancy, followed by a mistrust of vaccine benefits (61.4%) and worries about future effects (48.0%). In the adjusted regression analysis, being a Muslim (β = 2.563, p < 0.001) and having an urban residence (β = 1.709, p = 0.010) were associated with greater vaccine hesitancy, while testing for COVID-19 was associated with reduced vaccine hesitancy (β = −3.417, p = 0.027). These findings underscore the importance of addressing vaccine hesitancy as a critical element boosting COVID-19 vaccine uptake among PWH.
Rates of Primary and Secondary Prevention of Cervical Cancer: A Study in a Province in the South of Italy
Authors: Gorgone Miriam , Squeri Andrea , Cuffari Sara , Fauci Vincenza La , Giunta Ioselita , Calderone Serena , Squeri Raffaele , Genovese Cristina
Published: November 2023

In Italy, cervical cancer represents the fifth most prevalent cancer in women under 50 years of age and is one of the most commonly detected lesions globally. Given the developing burden of the disease and the availability of both primary and secondary prevention measures, their accurate surveillance is of paramount importance. The aim of this study was to evaluate the trends in cervical cancer screening adherence in the period between 2020 and 2022, as well as to evaluate positive tests, identifying the most frequently associated genotypes and the vaccination coverage. The study sample was made up of 6880 women from the health district of Messina. We highlighted that there was a high proportion of positive results in the investigated period, with a high prevalence of HSIL. Moreover, HPV vaccination coverage was clearly inadequate, as was adherence to screening, both far away from WHO goals. This finding is probably linked to inadequate communication and awareness of the issue in the population and to the lack of data relating to tests carried out privately. In accordance with existing data in the literature, the introduction of the HPV-DNA test in Sicily made it possible to identify women positive for the genotypes most frequently involved in the etiopathogenesis of neoplastic lesions (genotypes 16 and 18), as well as for those in the “others” category, which should be investigated because some of them could have an impact on carcinogenicity and, for this reason, a future vaccine including them could represent a new prevention weapon.
POORLY COMMON VEGETABLES AND SPICY-AROMATIC PLANTS AND THEIR USE IN LANDSCAPING
Authors: Hapon S. , Felbaba-Klushina L. , Hapon Y.
Published: November 2023

This paper, based on original research and a review of literature, provides an overview of the structural characteristics of vegetative and generative organs of less commonly found vegetables and aromatic plants. It also explores the potential for their cultivation within the forest-steppe region of Ukraine and analyzes their application in urban eco-system landscaping.

These plants belong to the following families: Amarantaceae (Blitum virgatum L.), Cucurbitaceae (Cucumis anguria L., C. metuliferus E. Mey.), Malvacae (Abelmoschus esculentus (L.) Moench), Asteraceae (Cephalophora aromatica L.), Poaceae (Cymbopogon citratus (L.) Spreng.), Cyperaceae (Cyperus esculentus L.).

Despite being relatively uncommon and non-traditional crops for the forest-steppe region of Ukraine, these plants merit broader attention for their cultivation and integration into the local diet. They also possess significant potential for use in greening urban areas. The study establishes the ornamental qualities of these crops and showcases the possibilities for their cultivation in different types of flowerbeds, including regular and landscaped ones, as well as their use in greening arbors, gazebos, and pergolas.
Mechanosensor for Proprioception Inspired by Ultrasensitive Trigger Hairs of Venus Flytrap
Authors: Wang Qian , Lu Zezhong , Wang Deshan , Wang Kejun
Published: November 2023

Mechanosensors, as the core component of a proprioceptive system, can detect many types of mechanical signals in their surroundings, such as force signals, displacement signals, and vibration signals. It is understandable that the development of an all-new mechanosensory structure that can be widely used is highly desirable. This is because it can markedly improve the detection performance of mechanosensors. Coincidentally, in nature, optimized microscale trigger hairs of Venus flytrap are ingeniously used as a mechanosensory structure. These trigger hairs are utilized for tactile mechanosensilla to efficiently detect external mechanical stimuli. Biological trigger hair-based mechanosensilla offer an all-new bio-inspired strategy. This strategy utilizes the notch structure and variable stiffness to enhance the perceptual performance of mechanosensors. In this study, the structure–performance–application coupling relationship of trigger hair-based mechanosensors is explored through experiment and analysis. An artificial trigger hair-based mechanosensor is developed by mimicking the deformation properties of the Venus flytrap trigger hair. This bio-inspired mechanosensor shows excellent performance in terms of mechanical stability, response time, and sensitivity to mechanical signals.
Microbially Driven Sulfur Cycling in the River–Wetland–Ocean Continuum
Authors: Yu Xiaoli , Hu Ruiwen , Tao Mei , Qian Lu , Wang Faming , Wang Shanquan , Niu Mingyang , Yan Qingyun , He Zhili
Published: November 2023

Sulfur (S) is an essential biological element, and S cycling is mainly driven by metabolically versatile microorganisms. The river–wetland–ocean (RWO) continuum here is defined as the dynamically connected region with estuary, wetland, and near-marine ecosystems, and it is considered a hotspot of biogeochemical cycling, especially a major biotope for S cycling. Various forms and oxidation states of S compounds are considered ideal electron donors or acceptors and are widely utilized by microorganisms via inorganic or organic S-cycling processes. The S-cycling pathways are intimately linked to the carbon (C), nitrogen, phosphorus, and metal cycles, playing crucial roles in biogeochemical cycling, C sequestration, and greenhouse gas emissions through various mechanisms in the RWO continuum. This review provides a comprehensive understanding of microbially driven S cycling in the RWO continuum. We first illustrate the importance of S cycling in this continuum, including key microorganisms and functional processes (e.g., dissimilatory sulfate reduction, S oxidation, dimethylsulfoniopropionate production, and catabolism) as well as their corresponding S flux characteristics. In particular, we emphasize recent advances in the coupling mechanisms of the S cycle with other major element cycles. We further propose important perspectives for developing microbiome engineering of S-cycling microbial communities via integration of current knowledge about the multidimensional diversity, cultivation, evolution, and interaction of S-cycling microorganisms and their coupling mechanisms in the RWO continuum, providing a new window on applying microbiome-based biotechnologies to overcome global climate challenges.
Improving Students' Positive Self-Concept through the P5 Program at SMP N 13 Surakarta
Authors: Ikhsan June Maulana , Saputra Azis Ilham , Sholikhah Tri Pujiati , Ruhaena Lisnawati
Published: November 2023

School education is a learning process that aims to develop potential with a planned effort. In developing students' potential, it is necessary to form a positive self-concept of students. This study aims to find out how to increase students' positive self-concept using the independent learning curriculum that focuses on the P5 program. The method used is Focus Group Discussion which is a method used to obtain qualitative research data by gathering a small group of people to discuss a particular topic. The research informants for this research were the learning committee team at SMP Negeri 13 Surakarta, consisting of 8 people. From the results of the FGDs that have been conducted, it can be concluded that the independent learning curriculum can improve students' positive self-concept, especially in the P5 program. Because students will be taught to prepare performances independently and are required to cooperate with one another. On the other hand, the teacher can assess the process of activities according to the theme and accompany them directly. The teacher also directs all students to work according to their respective job desks, so that this P5 activity will be felt as a joint activity. In addition, periodic theme changes are also carried out in the application of P5 so that students do not get bored.
Improving Educators Digital Literacy Through Assistance in the Development of Lectora Inspire- Based Mathematics Learning Media
Authors: Adawiyah Robiatul , Arika Indah Kristiana
Published: November 2023

The competence of an educator is the main key to the success of a lesson. The problems that exist in schools partner are that educators complain about the low numeracy skills of students and the minimal use of technology in learning. Teachers are the main key to the success of nursery human resources. Teachers are required to be more creative, innovative and inspiring in designing quality learning activities to welcome Indonesia's golden generation, especially in learning mathematics. Digital-based learning media can attract students to be more enthusiastic about learning mathematics. One of the software that can be used to develop mathematics learning media is the Lectora Inspire software. In order to develop a technology-assisted learning media, educators' digital competencies really need to be built so that educators can be more creative in creating interesting and not boring learning. Therefore, a teacher competency development assistance is needed, where a forum for the development of pedagogic and professional competencies for teachers at SMPN 6 Tanggul in Kramat Sukoharjo Village. Community service activities are packaged by applying the ADDIE (Analysis-Design-Development-Implementation-Evaluation) training model. Based on the results of the pretest and posttest, the percentage of N-Gain was 76%. Based on the category of interpretation of the effectiveness of N-Gain, the value is included in the effective category because it meets the value of . That is, learning media based on lecturera inspire is effective in increasing student understanding.
Aksi Pengembara (Pemuda Penggagas Pembaruan) Umsida Students to Help Manage Used Cooking Oil in Klurak Village Rw 07
Authors: Putri Shinta Anastasya , Rochmania Ainur , Febriana Poppy , Bakhta Nabila Ayu , Putra Ramadhani
Published: November 2023

Humans have a variety of activities that support the increasing amount of waste in the community environment. One of the household wastes produced is waste oil or what is often referred to as used cooking oil. Waste oil can be categorized as used cooking oil when it changes color to blackish brown. Discolored waste oil is no longer suitable for consumption. Some people with limited information about used cooking oil processing, tend to throw it away and result in environmental pollution. There are also many people who do not care about the impact of littering used waste. This dedication through Action Nomads is carried out to educate the people of Klurak Village RW 07 in raising awareness about the impact of waste used waste disposal and how to improve skills in managing used cooking oil. As for empowering youth who will later continue the Nomad Action in caring for the environment from the dangers of waste cooking oil in the surrounding environment. The method used in this study is by outreach to the community about the use value of used cooking oil waste which can produce a useful and valuable product. As youths, the servant collaborated with youth youth organizations in Klurak Rw 07 Village to campaign for a movement to reduce the use of used cooking oil. The result of implementing this activity is increasing knowledge about the impact of waste used cooking oil and using this used cooking oil to be used as a material that is ready for reuse.
Digital Transformation for the Future of Education: Community Service in Website Design Company Profile Tutoring Institution Scholastica Education Center (SEC)
Authors: Prasetyaningrum Putri , Scholastica Larissa Zafira Lewoema
Published: November 2023

This community service project explores the growing and crucial role of tutoring institutions (Bimbel) in providing important academic support to students in need. Traditionally, tutoring has been conducted in physical settings, involving face-to-face interactions between students and teachers. However, with the rapid advancement of technology and the soaring popularity of the internet, online tutoring has witnessed a tremendous surge in demand, becoming easily accessible and highly sought after. The Scholastica Education Center (SEC) located in Larantuka, East Flores, NTT, recognizes the importance of following technological advances and using them to increase access to education for children throughout Indonesia. Through these community service initiatives, SEC is wholeheartedly dedicated to making the most impactful contribution to the education sector, catering to the diverse needs and academic levels of its students. An integral aspect of promoting online learning programs is the role of official websites. As a result, Servants designed and launched a company profile website for the SEC, leveraging cutting-edge web technologies such as HTML, CSS, and Javascript. The implementation of this website aims to increase SEC's reach to its target audience, effectively disseminate information about their online tutoring services and programs, and provide an interactive and enriching learning experience for all students. The overall goal of this community service project is to generate a positive and transformative impact by improving the overall quality of education in Indonesia. The seamless integration of technology and the ease of access to learning through online tutoring offered by leading institutions such as the Scholastica Education Center actively contribute to the educational progress and holistic success of students.
Internet of Things Education Teaching and Learning Centre Harapan Bunda School Jakarta
Authors: Lukman Medriavin Silalahi  , Simanjuntak Imelda Uli Vistalina , Rochendi Agus Dendi
Published: November 2023

The DC (Domestic Cooperation) CS (Community Service) program proposes IoT (Internet of Things) training, which aims to educate trainees to get to know the latest internet-based technology supported by accompanying instructors in their fields of expertise based on the approach of published research results, especially in electrical engineering, and conduct educational counseling on variations and models to support IoT. The training participants were students at TLC (Teaching and Learning Centre) in Harapan Bunda, Jakarta. Initial observations showed the participants' interest in IoT technology, so the contribution is support for improving the quality of skilled labor to be aligned with industry needs. This CS method includes showing the results of scientific publications, providing IoT material, simple coding training, and simple practice. This CS activity is expected to make the participants able to understand the concept of IoT and practice the application of IoT in everyday life. The measurement of the percentage of training success is a satisfaction survey questionnaire. The CS activity resulted in a satisfaction percentage of 93%, and it was hoped that the CS program could be carried out regularly and be of benefit to students who need additional skills as a future provision.
Assistance for the Preparation of Regulations on Livestovk Management in Teratak Rendah Village
Authors: Seprido  , Afrinald Rizhan  , Desriadi Desriadi
Published: November 2023

Service regarding assistance in drafting Teratak Rendah village regulations regarding livestock management in Logas Tanah darat District, Kuantan Singingi regency. Drafting village regulations is one of the main tasks and functions of the village consultative body so the aim of this service is to assist the BPD of teratak Rendah village in drafting village regulations regarding livestock management. This service activity is carried out using the mentoring method. The result of this service activity is the preparation of Teratak Rendah regulations regarding livestock management that follow the standard rules for drafting village regulations. This preparation went through several stages, namely : planning meeting; preparation; arrangement of language in draft village regulations; village meetings; revision of draft village regulations; deliberation to determine and sign the darft of Teratak Rendah regulations. The formation of Teratak Rendah village regulations regarding the management of livestock has taken into account the requirements of a good statutory regulation, both regarding the principles, substance and techniques of its formation.
Analysis of the Anti-Radicalism and Terrorism Socialization Program on Students in Bandar Lampung Influence to Prevent and Overcome the Doctrines of Radicalism and Terrorism
Authors: Herlambang Dian , Zildjianda Raesitha , Amelia Anwar  , Satrio Nur Hadi
Published: November 2023

The increasing spread of cases of violence in the name of religion is now more visible, one of which is among students who have been indoctrinated to participate in radicalism and terrorism. Many students in Bandar Lampung in particular do not understand what radicalism and terrorism are. This is what causes many students to fall into radical/terrorist groups. Therefore, outreach is needed for universities in Bandar Lampung. The socialization aim to overcome the notion of radicalism and terrorism that has occurred among students in Bandar Lampung.The method of implementing activities includes steps, determining participants, determining service activities based on agreement, and providing socialization materials, feedback, identification exercises, questions, and answers. The anti-radicalism and terrorism outreach activities carried out are a form of prevention and control of terrorism and radicalism movements in universities, especially in Bandar Lampung. This socialization is also a form of defending the country and eradicating these ideas.
Socialization And Training of The Community Literation Movement at The Regional Library and Archives Service Kubu Raya
Authors: Sri Maryuni  , Pardi  , Deni Darmawan  , Eka Apriyani
Published: November 2023

This community service activity is motivated by the low level of digital literacy among the people of Kubu Raya Regency. Digital literacy activities aim to eliminate illiteracy and increase interest in reading and writing among people in the area. The ultimate goal is to create a society that is technologically literate and has strong reading and writing skills for the future. This activity was carried out with the concept of socialization and discussion. The material presented is related to forms of literacy movements that can be implemented in society. The socialization participants in this activity were around 20 participants at the Library Service Office. The results of this community service are in the form of a level of understanding for employees who act as the spearhead of the digital literacy drive in Kubu Raya Regency. With this service activity, the impact can be felt by participants regarding the understanding of digital literacy for the community.