bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent Evacuation Sign Control Mechanism in IoT-Enabled Multi-Floor Multi-Exit Buildings
Authors: Yen Hong-Hsu , Lin Cheng-Han
Published: February 2024

In contemporary evacuation systems, the evacuation sign typically points fixedly towards the nearest emergency exit, providing guidance to evacuees. However, this static approach may not effectively respond to the dynamic nature of a rapidly evolving fire situation, in particular if the closest emergency exit is compromised by fire. This paper introduces an intelligent evacuation sign control mechanism that leverages smoke and temperature sensors to dynamically adjust the direction of evacuation signs, ensuring evacuees are guided to the quickest and safest emergency exit. The proposed mechanism is outlined through a rigorous mathematical formulation, and an ESP heuristic is devised to determine temperature-safe, smoke-safe, and congestion-aware evacuation paths for each sign. This algorithm then adjusts the direction light on the evacuation sign to align with the identified evacuation path. To validate the effectiveness of this approach, fire simulations using FDS software 6.7.1 were conducted in the Taipei 101 shopping mall. Temperature and smoke data from sensor nodes were utilized by the ESP algorithm, demonstrating superior performance compared to that of the existing FEL algorithm. Specifically, the ESP algorithm exhibited a notable increase in the probability of evacuation success, surpassing the FEL algorithm by up to 34% in methane fire scenarios and 14% in PVC fire scenarios. The significance of this improvement is more pronounced in densely congested evacuation scenarios.
SLMSF-Net: A Semantic Localization and Multi-Scale Fusion Network for RGB-D Salient Object Detection
Authors: Peng Yanbin , Zhai Zhinian , Feng Mingkun
Published: February 2024

Salient Object Detection (SOD) in RGB-D images plays a crucial role in the field of computer vision, with its central aim being to identify and segment the most visually striking objects within a scene. However, optimizing the fusion of multi-modal and multi-scale features to enhance detection performance remains a challenge. To address this issue, we propose a network model based on semantic localization and multi-scale fusion (SLMSF-Net), specifically designed for RGB-D SOD. Firstly, we designed a Deep Attention Module (DAM), which extracts valuable depth feature information from both channel and spatial perspectives and efficiently merges it with RGB features. Subsequently, a Semantic Localization Module (SLM) is introduced to enhance the top-level modality fusion features, enabling the precise localization of salient objects. Finally, a Multi-Scale Fusion Module (MSF) is employed to perform inverse decoding on the modality fusion features, thus restoring the detailed information of the objects and generating high-precision saliency maps. Our approach has been validated across six RGB-D salient object detection datasets. The experimental results indicate an improvement of 0.20~1.80%, 0.09~1.46%, 0.19~1.05%, and 0.0002~0.0062, respectively in maxF, maxE, S, and MAE metrics, compared to the best competing methods (AFNet, DCMF, and C2DFNet).
Profitability Model of Green Hydrogen Production on an Existing Wind Power Plant Location
Authors: Dumančić Andrea , Vlahinić Lenz Nela , Wagmann Lahorko
Published: February 2024

This paper presents a new economic profitability model for a power-to-gas plant producing green hydrogen at the site of an existing wind power plant injected into the gas grid. The model is based on a 42 MW wind power plant, for which an optimal electrolyzer of 10 MW was calculated based on the 2500 equivalent full load hours per year and the projection of electricity prices. The model is calculated on an hourly level for all variables of the 25 years of the model. With the calculated breakeven electricity price of 74.23 EUR/MWh and the price of green hydrogen production of 99.44 EUR/MWh in 2045, the wind power plant would produce 22,410 MWh of green hydrogen from 31% of its total electricity production. Green hydrogen injected into the gas system would reduce the level of CO2 emissions by 4482 tons. However, with the projected prices of natural gas and electricity, the wind power plant would cover only 20% of the income generated by the electricity delivered to the grid by producing green hydrogen. By calculating different scenarios in the model, the authors concluded that the introduction of a premium subsidy model is necessary to accelerate deployment of electrolyzers at the site of an existing wind power plant in order to increase the wind farm profitability.
A Seismic Monitoring Tool for Tidal-Forced Aquifer Level Changes in the Río de la Plata Coastal Plain, Argentina
Authors: Galone Luciano , Panzera Francesco , Colica Emanuele , Fucks Enrique , Carol Eleonora , Cellone Francisco , Rivero Lluís , Agius Matthew R. , D’Amico Sebastiano
Published: February 2024

Ambient seismic noise has gained extensive applications in seismology and plays a pivotal role in environmental seismic studies. This study focuses on the Río de la Plata Coastal Plain, employing the horizontal-to-vertical spectral ratio (HVSR) method on ambient seismic noise records to analyze subsurface dynamics. The region’s hydrogeology is complex, featuring partially interconnected coastal aquifers. The HVSR analysis reveals two peaks, with P0 associated with the sediment-basement interface and P1 linked to a shallower stratigraphic discontinuity. Temporal analysis of P1 highlights cyclical patterns correlated with estuarine levels, suggesting a relationship between variations in seismic velocities and tidal dynamics. Comparisons with aquifer data support the hypothesis that tidal variations influence subsurface mechanical properties, impacting the HVSR function. The study hints at the potential of ambient seismic noise analysis as a non-invasive and cost-effective method for studying coastal aquifers and understanding groundwater dynamics. Ongoing research aims to further explore these relationships for enhanced groundwater resource management.
Enhancing Cultural Sustainability: Making Rescue Excavations Accessible through Educational Applications and Virtual Reality
Authors: Vlizos Stavros , Kotsopoulos Konstantinos , Christodoulou Dimitrios
Published: February 2024

The key questions of this article concern the extent to which digital documentation, 3D scanning technologies, and VR/AR technologies contribute to the preservation, enhancement, and sustainability of cultural heritage. The purpose of this research is to present an innovative methodology through which a platform for the diagnosis, management, and documentation of findings, progress, and reports and projections of rescue excavations in the area of Euboea, Greece was implemented. A holistic approach is proposed with a comprehensive system of archaeological documentation and visualization, which integrates the use of digital technologies in all steps of the archaeological process, enhances the tools of the scientific community, and provides immersive experiences for both researchers and the public. The results of the method include (1) a complex toolbox of innovative technologies that allow archaeologists to plan and execute a rescue excavation in an efficient and concise manner and (2) a VR installation at the Diachronic Museum of Chalkida “Arethousa”, which allows the public to participate in virtual rescue excavations and explore archaeological sites that are no longer accessible. Through this project, the impact of new technologies on cultural heritage and, in particular, on issues of sustainability, accessibility, education, and visitor participation is highlighted.
A Discrete-Time Current Control Method for the High-Speed Permanent Magnet Motor Drive Using the Modular Multilevel Converter
Authors: Xia Tianqi , Peng Fei , Huang Yunkai
Published: February 2024

High-speed permanent magnet motors (HSPMMs) have received attention in direct drive systems from the industry. Modular multilevel converters (MMCs) have become the most practical solution for HSPMMs in industrial applications due to the advantages of their highly modular structure, high-quality output and high reliability. In this article, the symmetrical discrete-time model of the MMC for the HSPMM drive is presented. Based on this symmetrical discrete-time model, the discrete-time current regulator has been designed. Moreover, the submodel (SM) capacitor energy balance models for MMC have been described, and the energy balance control scheme is introduced. Finally, the simulation and experimental results show that the presented discrete-time current regulator has a strong dynamic response at high speed (15 kr/min), and the SM capacitor voltage balance control is also achieved. Compared with the conventional PI current controller, the proposed discrete-time current regulator improves the current loop dynamic performance at high-speed, and the energy balance control scheme can ensure the SM capacitor voltage balance of the MMC.
A New Test Statistic to Assess the Goodness of Fit of Location-Scale Distribution Based on Progressive Censored Data
Authors: Lee Kyeongjun
Published: February 2024

The problem of examining how well the data fit a supposed distribution is very important, and it must be confirmed prior to any data analysis, because many data analysis methods assume a specific distribution of data. For this purpose, histograms or Q-Q plots are employed for the assessment of data distribution. Additionally, a GoF TstS utilizes distance measurements between the empirical distribution function and the theoretical cumulative distribution function (cdf) to evaluate data distribution. In life-testing or reliability studies, the observed failure time of test units may not be recorded in some situations. The GoF TstSs for completely observed data can no longer be used in progressive type II censored data (PrCsD). In this paper, we suggest a GoF TstSs and new plot method for the GoF test of symmetric and asymmetric location-scale distribution (LoScD) based on PrCsD. The power of the suggested TstSs is estimated through Monte Carlo (MC) simulations, and it is compared with that of the TstSs using the order statistics (OrSt). Furthermore, we analyzed real data examples (symmetric and asymmetric data).
Low gH/gL (Sub)Species-Specific Antibody Levels Indicate Elephants at Risk of Fatal Elephant Endotheliotropic Herpesvirus Hemorrhagic Disease
Authors: Hoornweg Tabitha E. , Schaftenaar Willem , Rutten Victor P. M. G. , de Haan Cornelis A. M.
Published: February 2024

Elephant endotheliotropic herpesviruses (EEHVs), of which eleven (sub)species are currently distinguished, infect either Asian (Elephas maximus) or African elephants (Loxodonta species). While all adult elephants are latently infected with at least one EEHV (sub)species, young elephants, specifically those with low to non-detectable EEHV-specific antibody levels, may develop fatal hemorrhagic disease (EEHV-HD) upon infection. However, animals with high antibody levels against EEHV(1A) gB, an immunodominant antigen recognized by antibodies elicited against multiple (sub)species, may also occasionally succumb to EEHV-HD. To better define which animals are at risk of EEHV-HD, gB and gH/gL ELISAs were developed for each of the Asian elephant EEHV subspecies and assessed using 396 sera from 164 Asian elephants from European zoos. Antibody levels measured against gB of different (sub)species correlated strongly with one another, suggesting high cross-reactivity. Antibody levels against gH/gL of different subspecies were far less correlated and allowed differentiation between these (sub)species. Importantly, while high gB-specific antibody levels were detected in the sera of several EEHV-HD fatalities, all fatalities (n = 23) had low antibody levels against gH/gL of the subspecies causing disease. Overall, our data indicate that (sub)species-specific gH/gL ELISAs can be used to identify animals at risk of EEHV-HD when infected with a particular EEHV (sub)species.
An Improved Workflow for the Quantification of Orthohantavirus Infection Using Automated Imaging and Flow Cytometry
Authors: Menke Laura , Sieben Christian
Published: February 2024

Determination of the infectious titer is a central requirement when working with pathogenic viruses. The plaque or focus assay is a commonly used but labor- and time-consuming approach for determining the infectious titer of orthohantavirus samples. We have developed an optimized virus quantification approach that relies on the fluorescence-based detection of the orthohantavirus nucleocapsid protein (N) in infected cells with high sensitivity. We present the use of flow cytometry but highlight fluorescence microscopy in combination with automated data analysis as an attractive alternative to increase the information retrieved from an infection experiment. Additionally, we offer open-source software equipped with a user-friendly graphical interface, eliminating the necessity for advanced programming skills.
Immunogenicity and Tolerance of BNT162b2 mRNA Vaccine in Allogeneic Hematopoietic Stem Cell Transplant Patients
Authors: Ben Khlil Ahmed Amine , Zamali Imen , Belloumi Dorra , Gdoura Mariem , Kharroubi Ghassen , Marzouki Soumaya , Dachraoui Rym , Ben Yaiche Insaf , Bchiri Soumaya , Hamdi Walid , Gharbi Manel , Ben Hmid Ahlem , Samoud Samar , Galai Yousr , Torjmane Lamia , Ladeb Saloua , Bettaieb Jihene , Triki Henda , Ben Abdeljelil Nour , Ben Othman Tarek , Ben Ahmed Melika
Published: February 2024

Background: Allogeneic hematopoietic stem cell transplantation (ASCT) induces acquired immunodeficiency, potentially altering vaccine response. Herein, we aimed to explore the clinical tolerance and the humoral and cellular immune responses following anti-SARS-CoV-2 vaccination in ASCT recipients. Methods: A prospective, non-randomized, controlled study that involved 43 ASCT subjects and 31 healthy controls. Humoral response was investigated using the Elecsys® test anti-SARS-CoV-2. Cellular response was assessed using the QFN® SARS-CoV-2 test. The lymphocyte cytokine profile was tested using the LEGENDplex™ HU Th Cytokine Panel Kit (12-plex). Results: Adverse effects (AE) were observed in 69% of patients, encompassing pain at the injection site, fever, asthenia, or headaches. Controls presented more side effects like pain in the injection site and asthenia with no difference in the overall AE frequency. Both groups exhibited robust humoral and cellular responses. Only the vaccine transplant delay impacted the humoral response alongside a previous SARS-CoV-2 infection. Noteworthily, controls displayed a Th1 cytokine profile, while patients showed a mixed Th1/Th2 profile. Conclusions: Pfizer-BioNTech® anti-SARS-CoV-2 vaccination is well tolerated in ASCT patients, inducing robust humoral and cellular responses. Further exploration is warranted to understand the impact of a mixed cytokine profile in ASCT patients.
Changes in Nitrification Kinetics and Diversity of Canonical Nitrifiers and Comammox Bacteria in a Moving Bed Sequencing Batch Biofilm Reactor—A Long-Term Study
Authors: Zajac Olga , Zubrowska-Sudol Monika , Godzieba Martyna , Ciesielski Slawomir
Published: February 2024

A lab-scale pure moving bed sequencing batch biofilm reactor (MBSBBR) was employed to investigate changes in nitrification kinetics and microbial diversity. The MBSBBR operated under different aeration strategies (defined by the ratio of the duration of the subphases with (t1) and without (t2) aeration (R = t2/t1)) − continuous (R = 0) and intermittent (with constant time of non-aerated subphases (t2 = 10 min) and variable duration of subphases with aeration (t1 = 40 min–R = 1/4, t1 = 30 min–R = 1/3, t1 = 20 min–R = 1/2) and dissolved oxygen (DO) concentrations (6 mg/L; 3.5 mg/L). Moreover, the reactor’s organic (OLR) and nitrogen (NLR) loading rates were changed in the following ranges: OLR—537–402 gCOD/m3·d, NLR—64–48 gN/m3·d. The obtained results showed that, irrespective of changes introduced in particular series, a highly effective nitrification process (93.36 ± 2.13%) was achieved. The activity of bacteria capable of oxidizing ammonia nitrogen changed differently from that of bacteria capable of oxidizing nitrites (NOB). An increase in R was the primary factor changing the activity of ammonia-oxidizing microorganisms. NOB activity was affected only by the reduction of OLR and NLR. NOB were the predominant bacterial group, consistent with the kinetics studies. A DO decrease caused an increase in the abundance of AOB, NOB, and Comammox bacteria. Comammox bacteria were the most abundant at R = 1/2 and DO = 3.5 mg/L.
Breeding and genetic characteristics of sires of Kholmogory breed depending on their part of Holstein breed blood in different regions of the Russian Federation
Authors:   Federal State Budgetary Scientifi c Institution “Federal Research Center for Animal Husbandry named after Academy Member L. K. Ernst”, Russia, Moscow region, Podolsk, Dubrovitsy, Abilov A. I. , Andreev G. A. ,   Federal State Budgetary Scientifi c Institution “Federal Research Center for Animal Husbandry named after Academy Member L. K. Ernst”, Russia, Moscow region, Podolsk, Dubrovitsy, Dunin M. I. ,   Federal State Budgetary Scientifi c Institution “All-Russian Scientifi c Research Institute of Animal Breeding”, Russia, Moscow region, Lesnye Polyany
Published: February 2024

The purpose of the research was to study the breeding and genetic characteristics of Kholmogory breed sires depending on their part of Holstein breed blood in diff erent regions of the Russian Federation. An analysis of data was carried out on 13 sires owned by JSC “Head Reproduction Center” (Moscow region), JSC Head Bull Stud “Elita” (Republic of Tatarstan) and OJSC “Arkhangelsk Bull Stud” (Arkhangelsk region). The milk productivity of female ancestors was studied, as well as the milk productivity of daughters of Holstein sires of diff erent part of Holstein breed blood. It was established that the highest live weight at the age of 36 and 48 months was characterized by the sires of the JSC Head Bull Stud “Elita”. In this breeding enterprise the sires also had the highest blood level of Holstein breed (81,20 %) compared to the sires of other Bull Studs. The best indicators of milk yield per lactation were in the dams of sires at OJSC “Arkhangelsk Bull Stud” – 11 669,2 kg of milk per lactation, which were signifi cantly higher then in dams of sires from other Bull Studs. In second place were the dams of the sires of the JSC “Head Reproduction Center”, where the blood of the sires of the improving breed was the lowest at 20,25 %, at the same time they had more fat in milk (4,16 %) compared to dams of sires from other Bull Studs. The best result in milk productivity was obtained from daughters of sires of Kholmogory breed in the Republic of Tatarstan, which was in average 6845,2±468,05 (p < 0,05) kg of milk per lactation. This was signifi cantly more by 2087,2 kg of milk than from the daughters of the sires of JSC “Head Reproduction Center” and by 2795,0 kg of milk than from the daughters of the sires of OJSC “Arkhangelsk Bull Stud”.
Effect of Electrolyte Filtration Accuracy on Electrochemical Machining Quality for Titanium Alloy
Authors: Xu Zhiliang , Xu Zhengyang , Xu Hongyu , Shen Zhenyu , Geng Tianyu
Published: February 2024

Electrochemical machining (ECM) is an effective manufacturing method for difficult-to-machine materials and is widely used in the precision manufacturing of aerospace components. In recent years, the requirements for the machining accuracy and surface integrity of ECM have become increasingly stringent. To further improve the machining quality, this work investigated the intricate laws between electrolyte filtration accuracy and machining quality. Electrolytes with different filtration accuracies were compared, and a numerical simulation was used to evaluate the change in temperature and bubble rate of the flow field in the machining area. Experiments were conducted on ECM of Ti-6Al-4V (TC4) alloy workpieces using electrolytes with different filtration accuracy. The workpiece machining accuracy and surface quality were analyzed, and the repetition accuracy of the workpiece was evaluated. The intricate laws between electrolyte filtration accuracy and machining quality were explored. It was found that when the electrolyte filtration accuracy is improved, so too is the machining quality of the ECM. However, once the filtration accuracy has reached a certain value, the machining quality has extremely limited improvement. By evaluating the repetition accuracy of processed workpieces in electrolytes with different filtration accuracies, it was found that when the filtration accuracy reaches a certain value, there is no positive correlation between the repetition accuracy and filtration accuracy. The result shows that, for the workpiece material and conditions considered in this paper, an electrolyte with 0.5μm filtration accuracy is suitable for the wide application of precision ECM.
Primary care consultation patterns before suicide: a nationally representative case–control study
Authors: Alothman Danah , Lewis Sarah , Fogarty Andrew W , Card Timothy , Tyrrell Edward
Published: February 2024

Background

Consultation with primary healthcare professionals may provide an opportunity to identify patients at higher suicide risk.

Aim

To explore primary care consultation patterns in the 5 years before suicide to identify suicide high-risk groups and common reasons for consulting.

Design and setting

This was a case–control study using electronic health records from England, 2001 to 2019.

Method

An analysis was undertaken of 14 515 patients aged ≥15 years who died by suicide and up to 40 matched live controls per person who died by suicide (n= 580 159), (N= 594 674).

Results

Frequent consultations (>1 per month in the final year) were associated with increased suicide risk (age- and sex -adjusted odds ratio [OR] 5.88, 95% confidence interval [CI] = 5.47 to 6.32). The associated rise in suicide risk was seen across all sociodemographic groups as well as in those with and without psychiatric comorbidities. However, specific groups were more influenced by the effect of high-frequency consultation (>1 per month in the final year) demonstrating higher suicide risk compared with their counterparts who consulted once: females (adjusted OR 9.50, 95% CI = 7.82 to 11.54), patients aged 15–<45 years (adjusted OR 8.08, 95% CI = 7.29 to 8.96), patients experiencing less socioeconomic deprivation (adjusted OR 6.56, 95% CI = 5.77 to 7.46), and those with psychiatric conditions (adjusted OR 4.57, 95% CI = 4.12 to 5.06). Medication review, depression, and pain were the most common reasons for which patients who died by suicide consulted in the year before death.

Conclusion

Escalating or more than monthly consultations are associated with increased suicide risk regardless of patients’ sociodemographic characteristics and regardless of the presence (or absence) of known psychiatric illnesses.
Gender inequalities across ethnicities in primary care cancer referrals: a scoping review protocol
Authors: Lavu Deepthi , Khan Adnan , Konya Judit , Martins Tanimola , Price Sarah , Neal Richard
Published: February 2024

Background

Early cancer diagnosis is associated with improved mortality and morbidity; however, studies indicate that women and individuals from ethnic minorities experience longer times to diagnosis and worse prognosis compared with their counterparts for various cancers. In countries with a gatekeeper healthcare system, such as the UK, most suspected cancer referrals are initiated in primary care.

Aim

To understand the extent of evidence available on the relationship between primary care cancer referral pathways and cancer outcomes in relation to gender across different ethnic groups. This will identify research gaps and enable development of strategies to ease potential inequalities in cancer diagnosis.

Design & setting

A scoping review of articles written in English, based on the Joanna Briggs Institute methodology. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) will be used.

Method

Electronic databases and private collections of the team members will be searched for studies. Two independent reviewers will carry out the study selection and data extraction. Based on Population (or participants), Concept, and Context (PCC) framework, this review will consider studies after year 2000, which explored the relationship between gender, across various ethnic groups, and cancer outcomes, following primary care cancer referral in countries with gatekeeper healthcare systems (UK, New Zealand, Sweden, Australia, Canada, Denmark, Republic of Ireland, and Norway). Results will be presented as a narrative analysis.

Conclusion

The results are expected to provide an overview of the discrepancies in primary care cancer referrals based on gender across ethnic groups, which will be crucial to define an appropriate range of strategies to ease any inequalities in primary healthcare cancer diagnosis.
Effects of Reduced Dietary Sodium and the DASH Diet on GFR: The DASH-Sodium Trial
Authors: Morales-Alvarez Martha Catalina , Nissaisorakarn Voravech , Appel Lawrence J. , Miller Edgar R. , Christenson Robert H. , Rebuck Heather , Rosas Sylvia E. , William Jeffrey H. , Juraschek Stephen P.
Published: February 2024

Key Points

Sodium reduction over a 4-week period decreased eGFR.

Combining sodium reduction with the Dietary Approaches to Stop Hypertension diet resulted in larger reductions in eGFR.

Changes in diastolic BP seem partially responsible for the observed dietary effects.

Background

A potassium-rich Dietary Approaches to Stop Hypertension (DASH) diet combined with low sodium reduces BP. However, the effects of sodium reduction in combination with the DASH diet on kidney function are unknown. We determined the effects of sodium reduction and the DASH diet, on eGFR using cystatin C.

Methods

DASH-sodium was a controlled, feeding study in adults with elevated or stage 1 hypertension, randomly assigned to the DASH or a control diet. On their assigned diet, participants consumed each of three sodium levels for 30 days after a 2-week run-in period of a high sodium-control diet. The three sodium levels were low (50 mmol/d), medium (100 mmol/d), and high (150 mmol/d). The primary outcome was change in eGFR based on cystatin C.

Results

Cystatin C was measured in 409 of the original 412 participants, of which 207 were assigned the DASH diet and 202 to the control diet. Compared with control, the DASH diet did not affect eGFR (β=−0.96 ml/min per 1.73 m2; 95% confidence interval [CI], −2.74 to 0.83). By contrast, low versus high sodium intake decreased eGFR (β=−2.36 ml/min per 1.73 m2; 95% CI, −3.64 to −1.07). Together, compared with the high sodium-control diet, the low sodium-DASH diet decreased eGFR by 3.10 ml/min per 1.73 m2 (95% CI, −5.46 to −0.73). This effect was attenuated with adjustment for diastolic BP and 24-hour urinary potassium excretion.

Conclusions

A combined low sodium-DASH diet reduced eGFR over a 4-week period. Future research should focus on the effect of these dietary interventions on subclinical kidney injury and their long-term effect on progression to CKD.

Clinical Trial registration number

ClinicalTrials.gov, NCT00000608.
Prediction of Pancreatic Cancer Through Biomarkers Using Machine Learning Techniques: An Approach for Early Diagnosis
Authors: Bianca L.S.M. Cardoso  , João Vitor S. Mendes
Published: February 2024

This article explores the prediction of pancreatic cancer using CA 19-9 and CA 125 biomarkers with three machine learning models: Gradient Boosting, Random Forest, and Logistic Regression. The study evaluates their effectiveness through 10-fold cross-validation. Results showed competitive performance, with the Logistic Regression model displaying the highest accuracy, precision, and F1-score, indicating its potential for early diagnosis. Integrating biomarkers and machine learning promises for improving pancreatic cancer prediction and patient outcomes.
Benefits of Using Information and Communication Technology in the Control of Residues in Medicine Production Within Public Organizations: A Sustainability Practice
Authors: Cristina Conceição Rocha Guedes  , Charles da Silva Bezerra  , Maria de Lourdes Ferraz Heleodoro  , Aloisio Santos Nascimento Filho
Published: February 2024

This case study aims to elucidate the advantages of employing communication and information technology tools for disposing of pharmaceutical residues in a public production laboratory, highlighting its significance as a sustainable practice. The study employs a qualitative approach, incorporating applied methodology, technical procedures, bibliographic document research, and a case study with an exploratory objective. The primary outcomes reveal enhancements in optimization processes, reflecting paradigm shifts and technologies within laboratory operations. The study concludes that substantial impacts have occurred in work processes, fostering the dissemination of sustainability practices within the organization.
Automatised Bioreactor to Produce Biogas from Biomass: Development and Evaluation
Authors: Carine Tondo Alves  , Leandro Freitas Sales  , Luciano Sergio Hocevar  , Jadiel dos Santos Pereira  , Felipe Andrade Torres
Published: February 2024

Brazil's abundant biomass from agricultural and industrial activities offers significant potential for biogas production, aligning with the ONU Sustainable Development Goals. This study aims to explore anaerobic digestion for biogas production from biomass, investigating key factors influencing the process and advancing efficient technologies. A literature review utilizing biogas as a sustainable energy source was conducted, and an Arduino-controlled bioreactor was built to automatically monitor and control crucial variables in anaerobic digestion, ensuring high-quality and efficient biogas production. The developed bioreactor efficiently enabled continuous tracking of pressure, temperature, hydrogen, and methane in the bioreactor, contributing to energy transition and decarbonization.
Evaluation of Lignocellulosic Biomasses for Pyrolysis Product Generation
Authors: Meire Ane Pitta da Costa  , Valter Doria Rocha Neto  , Maria Karolaine Barbosa de Matos  , Paula Cecília Tavares Santos  , Roberta Menezes Santos  , Silvânio Silvério Lopes da Costa  , Lisiane dos Santos Freitas
Published: February 2024

This study aimed to assess agroindustrial residues, namely acerola seeds, poultry litter, bean pods, corn cobs, coconut fiber, pine nut shells, peanut shells, pine, and passion fruit, for the production of pyrolysis products, thereby adding value to these environmental assets. The characterization of these biomasses was carried out through elemental analysis (CHN), thermogravimetry (TG), higher heating value (HHV), ash content, and protein content determination. The samples exhibited low ash content (1.04% to 11.92%), protein content (1.22% to 15.06%), and moisture content (7.82% to 15.31%). Thermogravimetric analysis revealed that compound degradation occurred between 115°C and 500°C, with higher heating values (16.73% to 19.94 MJ.kg⁻1), indicating strong applicability in pyrolysis processes.
Evaluation of Torrefaction on the Quality of Bio-Oil Obtained by Pyrolisis of Green Coconut Wastes
Authors: Yasmine Braga Andrade  , Rafael de Oliveira Farrapeira  , Jaderson Kleveston Schneider  , Allan dos Santos Pollidoro  , Lisiane Santos Freitas  , Cleide Mara Faria Soares  , Elina Bastos Caramão
Published: February 2024

Pyrolysis of green coconut residues is considered a promising source of biomass for transforming energy and generating value-added products from thermochemical processes such as pyrolysis, mainly due to the high volume of this material in the Northeast region. For better pyrolytic results, some pre-treatments of the biomass can be used. In this work, the pre-treatment technique of oxidative and non-oxidative torrefaction was applied, using temperatures of 200 and 250 °C. These torrefied biomasses were subsequently subjected to fast pyrolysis at 700 °C. GC/qMS characterized the bio-oil obtained, and an increase in the content of phenolic compounds was observed in the torrefied biomass samples when compared to the raw biomass, indicating that the process is viable and adds value to the bio-oil obtained by pyrolysis.
Organizational Culture and Emotionality in Knowledge-Intensive Organizations in Health: A Systematic Literature Review
Authors: Michelle de Andrade Souza Diniz Salles  , Fernando Victor Cavalcante  , Camilla de Sousa Pereira-Guizzo  , Beatriz Quiroz Villardi
Published: February 2024

This study aims to characterize the knowledge about how emotionality is approached in the context of knowledge-intensive organizations (KIO) organizational culture using the PRISMA – ScR methodology). A search for studies published between 2017 and 2021 was carried out in the ScienceDirect, Google Scholar, and Scielo databases after evaluations of 6 articles were identified. The results revealed a tendency towards horizontalizing structures and how organizational culture guides the sense of reality. It was concluded that the relationship between KIO organizational culture and emotionality is still little explored. However, we observed in the articles the importance of leadership in conducting KIOs and how the leader can influence the construction of organizational culture.
Ensayo clínico controlado aleatorio de dos técnicas quirúrgicas para pterigión primario en pacientes de la selva: cauterización versus sutura
Authors: Armas Herrera Gioconda , Arévalo Arévalo Luis Felipe
Published: February 2024

Objetivo: Comparar dos técnicas quirúrgicas para extirpar el pterigión, mediante la evaluación de la sintomatología postoperatoria y la incidencia de la recidiva. Métodos: Ensayo clínico controlado aleatorizado con dos grupos paralelos y diseño simple ciego en 80 pacientes con pterigión primario de la Clínica Oftalmológica de la Selva. El primer grupo consideró la técnica de autoplastia fijada con cauterio bipolar (n=40) y el segundo la técnica convencional de autoplastia fijada con puntos (n=40). Se evaluaron los síntomas a las 72 horas postoperatorias y la recidiva a los seis meses. Resultados: A las 72 horas postcirugía el 6 % de los operados con la técnica electrocauterio presentaron sintomatología en comparación a un 41 % de los operados con sutura (p<0,05). Se evidenció recurrencia de 1 caso en el grupo de electrocauterio y 4 en el grupo de sutura (2,5 % vs. 10 %, p<0,05). Conclusiones: La técnica con cauterio demostró una recuperación más favorable, con menor sintomatología y recurrencia en comparación a la técnica convencional. Estos hallazgos sugieren que la técnica con cauterio puede ser más efectiva y mejor tolerada en pacientes de este estudio.
Fabrication of ZnO/CuBr1-x
I
x
microstructural transparent solar cells with buffer layer
Authors: Tsujimoto Naoya , Ochiai Koya , Tamai Daikichi , Kanai Ayaka , Tanaka Kunihiko
Published: February 2024

Transparent solar cells (TSCs) are invisible, landscape-harmonized power generation devices that can be installed on a large number of surfaces. Herein, ZnO/CuBr1-x
I
x
(CuBrI) microstructural TSCs with ZnO nanorods (NR) were fabricated via a solution process; the ZnO NRs were used to decrease carrier loss. A ZnO or MgO buffer layer (BL) was introduced between ZnO and CuBrI to improve the open circuit voltage (V
OC). The BLs significantly improved the V
OC by reducing the leakage current. Moreover, owing to the suppression of carrier recombination near the p-n junction interface, the short circuit current density (J
SC) of the TSC with MgO BL increased, and the V
OC improved further. The TSC with MgO BL exhibited the highest power density of 7.3 nW cm−2 with a V
OC of 42 mV, J
SC of 0.64 μA cm−2, fill factor of 26.7%, and transmittance of over 70% across a wavelength range greater than 500 nm.
PENERAPAN ALGORITMA MENGGUNAKAN RAPIDMINER UNTUK KATEGORISASI KOMPOTENSI DASAR CPNS
Authors: Mahesa Putra Sidik , Rendi Muhammad , Rusda Depi
Published: February 2024

Penelitian ini mengkaji penggunaan data mining dalam seleksi Calon Pegawai Negeri Sipil (CPNS) di Indonesia, khususnya Universitas Pattimura pada tahun 2021. Pemerintah dihadapkan pada tuntutan untuk merekrut PNS berkualitas dan kompeten. Dalam konteks ini, penelitian membandingkan dua algoritma, yaitu K-Nearest Neighbor dan C4.5, untuk mengklasifikasikan kompetensi dasar CPNS. Untuk empat kelas klasifikasi, hasil penelitian menunjukkan bahwa metode Decision Tree dengan algoritma C4.5 mempunyai tingkat akurasi sebesar 75%, tingkat kesalahan klasifikasi sebesar 5%, recall sebesar 97,14 persen, kappa sebesar 0,947, dan presisi 93,94 persen. Temuan ini memberikan gambaran tentang efektivitas algoritma C4.5 dalam mengurutkan konsekuensi Pilihan Kemampuan Penting (SKD) anggota CPNS Perguruan Tinggi Pattimura. Penelitian ini menekankan pentingnya penggunaan teknik data mining dalam meningkatkan efisiensi dan objektivitas dalam proses seleksi PNS. Hasil ini mungkin memiliki implikasi positif dalam memastikan bahwa PNS yang direkrut memenuhi standar kompetensi yang diinginkan oleh pemerintah.
PERANCANGAN DESAIN UI/UX PADA WEBSITE SMAN 5 KARAWANG DENGAN METODE USER CENTERED DESIGN
Authors: Hikmah Alim Rizaldi , Komarudin Oman , Carudin Carudin
Published: February 2024

Penelitian ini berfokus pada perancangan user interface (UI) dan user experience (UX) untuk website SMAN 5 Karawang menggunakan metode user centered design (UCD). Tujuannya adalah untuk menyediakan informasi yang mudah diakses kepada siswa, guru, dan masyarakat sekitar mengenai sekolah tersebut serta memperkenalkan sekolah ke publik melalui platform website. Melalui tahapan UCD, termasuk analisis kebutuhan pengguna dan desain berdasarkan tahap-tahap UCD, dilakukan perbaikan desain pada website SMAN 5 Karawang. Hasil dari pengujian awal menggunakan metode system usability scale (SUS) menunjukkan skor yang rendah, mengindikasikan adanya masalah usability pada desain lama website tersebut. Setelah dilakukan pengembangan desain UI/UX berdasarkan kebutuhan pengguna, dilakukan pengujian akhir dengan metode yang sama. Hasilnya menunjukkan perbaikan signifikan, dengan skor SUS yang mencapai adjective rating "best imaginable" dan grade A, kategori “acceptable”. Hasil pengembangan desain UI/UX ini mencakup elemen-elemen seperti tampilan yang kompleks dan menarik, variasi menu informasi, tata letak yang rapi dan nyaman, serta penggunaan font yang mudah dibaca. Beberapa saran untuk pengembangan lebih lanjut, seperti penambahan database dan penggunaan metode lain yang berkaitan dengan usability, penelitian ini menyediakan fondasi yang kuat untuk meningkatkan kualitas antarmuka pengguna pada website SMAN 5 Karawang. Langkah selanjutnya adalah menerapkan desain yang telah dikembangkan ke dalam sistem website yang sebenarnya guna mendapatkan hasil yang maksimal.
IMPLEMENTASI ARSITEKTUR ALEXNET DAN RESNET34 PADA KLASIFIKASI CITRA PENYAKIT DAUN KENTANG MENGGUNKAN TRANSFER LEARNING
Authors: Kevin Santosa Mochammad , Hanindia Prami Swari Made , Nugroho Sihananto Anderas
Published: February 2024

Penelitian ini mengimplementasikan arsitektur Alexnet dan Resnet34 dengan teknik transfer learning pada klasifikasi citra penyakit daun kentang. Kentang adalah komoditas penting dalam pertanian global, tetapi sering terkena penyakit seperti Late blight dan Early blight, yang mengancam hasil panen. Penelitian bertujuan untuk mengevaluasi akurasi transfer learning menggunakan Alexnet dan Resnet34 dalam mengklasifikasikan penyakit daun kentang. Kami juga membandingkan waktu pelatihan kedua model. Tujuan penelitian adalah mencapai tingkat akurasi yang tinggi dalam identifikasi penyakit daun kentang untuk membantu petani mengambil tindakan pencegahan yang cepat dan efektif. Kami melatih kedua model selama 16 Epoch dengan batch size 14 dan parameter yang telah ditentukan. Learning rate dan weight decay diatur pada nilai tertentu. Model Alexnet mencapai akurasi 98% dengan waktu pelatihan 82 menit, sedangkan model Resnet34 mencapai akurasi 99% dalam waktu yang sama. Kedua model mampu memberikan hasil identifikasi yang sangat baik pada citra penyakit daun kentang. Penelitian ini penting untuk meningkatkan produktivitas pertanian dan memberikan solusi efisien dalam mengatasi masalah penyakit pada tanaman kentang.
RANCANG BANGUN WEBSITE PENCARIAN INFORMASI BERITA DAN CUACA DAERAH DI INDONESIA MENGGUNAKAN API DAN EXPRESS.JS
Authors: Rafi Nahjan Muhammad , Ali Ridha Azhari , Heryana Nono , Voutama Apriade
Published: February 2024

Perkembangan ilmu pengetahuan dan teknologi di zaman sekarang ini melaju dengan sangat pesat dan cepat menyebar ke seluruh penjuru dunia, salah satunya adalah perkembangan dalam bidang jaringan internet. internet sendiri dapat berisi apa saja, salah satunnya adalah website Penelitian ini bertujuan untuk membuat sebuah website yang menyediakan informasi terkini mengenai berita dan cuaca pada daerah-daerah di Indonesia. Penelitian ini mencoba membangun sebuah website yang mengintegrasikan API NewsAPI dan API OpenWeatherMap untuk menyediakan data terupdate mengenai berita dan cuaca pada daerah-daerah di Indonesia, pembuatan sistem menggunakan bahasa pemrograman seperti PHP, HTML, JavaScript, dan express.js. Penelitian ini juga mengacu pada penelitian sebelumnya yang telah dilakukan terkait pembuatan website informasi daerah, namun penelitian sebelumnya memiliki beberapa kekurangan seperti dalam penginputan data manual dan pembaharuan data yang memerlukan intervensi manusia secara berkala. Penelitian ini bertujuan untuk menyediakan sebuah website yang menginformasikan berita dan cuaca terkini pada daerah-daerah di Indonesia. Penelitian ini berperan sebagai sarana penyedia informasi terkini mengenai suatu daerah dalam bentuk berita dan cuaca.
PENERAPAN SVM DALAM ANALISIS SENTIMEN PADA EDLINK MENGGUNAKAN PENGUJIAN CONFUSION MATRIX
Authors: Rininda Gistinia , Hartami Santi Indyah , Kirom Sabitul
Published: February 2024

Edlink adalah aplikasi yang membantu siswa dan dosen melakukan kegiatan pembelajaran secara daring. Namun, suatu aplikasi selalu memiliki kekurangan sehingga menimbulkan komentar dari pengguna aplikasi. Oleh karena itu penelitian ini bertujuan menganalisis sentimen komentar aplikasi Edlink untuk mempertimbangkan pemasalahan yang ada. Analisis sentimen merupakan proses menganalisis text untuk menentukan kecenderungan opini publik. Metode yang digunakan pada penelitian ini adalah Support Vector Machine (SVM). Langkah awal yang dilakukan yaitu mengumpulkan data ulasan pengguna aplikasi Edlink menggunakan teknik scrapping dan menghasilkan 86 data. Kemudian dilakukan proses preprocessing data yang meliputi labelling, case folding, cleaning, tokenezing, stopwords removal, dan steeming kemudian dilakukan pembobotan kata TF IDF dan diklasifikasikan menggunakan metode SVM, perhitungan performa menggunakan teknik confusion matrix menghasilkan nilai sentimen positif sebesar 24% dan pengujian precision sebesar 100% dan recall 25%, sedangkan kelas sentimen negatif sebesar 76% dan pengujian precision 81% dan recall 100% sehingga mendapatkan tingkat keakuratan sebesar 82%.
IMPLEMENTASI METODE K-NEAREST NEIGHBOR (K-NN) DAN FORWARD CHAINING UNTUK MONITORING TUMBUH KEMBANG BALITA
Authors: Safitri Firli , Taufiq Subagio Ridho , Norhan Linda
Published: February 2024

Masa balita dikenal sebagai masa emas (golden periode), dan masa batita dikenal sebagai masa kritis (critical periode) akan mengalami pertumbuhan dan perkembangan yang sangat cepat. Balita perlu pendampingan yang tepat dari orang tua karena kekurangan gizi dapat menyebabkan ganguan pertumbuhan, rentan terhadap infeksi dan menghambat perkembangan. Ketepatan dalam menentukan status gizi balita membutuhkan waktu yang lama sehingga perlu algoritma dalam proses klasifikasi agar menghasilkan kesimpulan secara cepat dan akurat. Kondisi saat ini, kegiatan pelayanan Posyandu Anggrek Bulan di Karang Makmur dalam memberikan laporan hasil pemeriksaan balita dan perkembangan balita sering terjadi kesalahan dan tidak akurat. Tujuan pada penelitian ini adalah membuat aplikasi website untuk menentukan status gizi dan perkembangan balita secara akurat. Dalam pembuatan aplikasi website ini untuk menentukan status gizi balita menggunakan metode K-Nearest Neighbor (K-NN) sedangkan untuk menentukan perkembangan kemampuan motorik balita menggunakan metode Forward Chaining. Aplikasi yang dibuat menggunakan framework Codeighniter sedangkan untuk perancangan pendekatan berorientasi objek menggunakan diagram Unified Modelling Language (UML). Hasil dari penelitian ini adalah sebuah aplikasi website untuk monitoring tumbuh kembang balita yang didalamnya menerapkan metode K-Nearest Neighbor (K-NN) dengan tingkat akurasi sebesar 87,5%  dan Forward Chaining dengan tingkat akurasi sebesar 100%.
PREDIKSI TAGIHAN LISTRIK MENGGUNAKAN METODE WEIGHTED EXPONENTIAL MOVING AVERAGE (WEMA)
Authors: Sutialisna Susan , Nurul Sabrina Puspita , Ashaury Herdi
Published: February 2024

Pembayaran tagihan listrik adalah komponen penting dalam anggaran rumah tangga yang membutuhkan perhatian khusus. Kepentingan pembayaran listrik ini sangat diperhatikan oleh individu dan keluarga karena penggunaan listrik di rumah bervariasi sesuai dengan kebutuhan harian. Oleh karena itu, setiap tagihan listrik dapat berbeda, tergantung pada konsumsi masing-masing rumah tangga. Fluktuasi biaya listrik yang terjadi, baik naik maupun turun, menjadi perhatian utama dalam pengelolaan keuangan setiap warga. Maka, mereka perlu mengetahui cara memprediksi besaran tagihan listrik yang akan datang. Penelitian ini bertujuan untuk mengembangkan metode prediksi pembayaran tagihan listrik pada tagihan berikutnya menggunakan Weighted Exponential Moving Average (WEMA). Hasil penelitian dengan data latih 2021 menunjukkan hasil prediksi yang baik dengan menggunakan nilai span 2 pada metode WEMA, dengan rata-rata Mean Absolute Percentage Error (MAPE) di bawah 5,00% sebagai nilai tren. Pada pengujian data tahun 2022 dengan penggunaan nilai span 2, rata-rata MAPE yang diperoleh adalah sebesar 3,00%. Hasil yang cukup memuaskan juga diperoleh dengan penggunaan nilai span lain, seperti span 3, 4, 5, 6, 7, 9, dan 12, namun efektif hanya untuk beberapa warga tertentu, dengan rata-rata MAPE berkisar antara 0,00% hingga 2,23%.
PENERAPAN ALGORITMA GENETIKA UNTUK PENJADWALAN MATA PELAJARAN
Authors: Ghaniyyu Muqsit Diagy , Achmadi Sentot , Agus Pranoto Yosep
Published: February 2024

Penjadwalan mata pelajaran di SMP Hasbunallah saat ini masih dilakukan secara manual oleh waka kurikulum, yang seringkali memakan banyak waktu dan menghasilkan jadwal yang kurang optimal. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sebuah sistem penjadwalan mata pelajaran di SMP Hasbunallah menggunakan metode algoritma genetika. Dalam penelitian ini, beberapa parameter algoritma genetika telah ditentukan, seperti jumlah individu, crossover rate, mutation rate, dan jumlah generasi. Hasil dari pengujian ini menunjukkan bahwa dengan menggunakan metode crossover one-cut point, dengan jumlah individu sebanyak 5, generasi 20, dan kombinasi crossover rate sebesar 25% dan mutation rate sebesar 75%, sistem ini berhasil membuat jadwal mata pelajaran dengan tingkat akurasi sekitar 92,13% dengan menggunakan data yang diperoleh selama Semester Genap pada tahun akademik 2022-2023. Ini merupakan langkah positif dalam upaya meningkatkan efisiensi penjadwalan mata pelajaran di SMP Hasbunallah.
PENCARIAN BARBERSHOP DI KOTA MALANG DENGAN MENGGUNAKAN METODE EUCLIDEAN DISTANCE BERBASIS WEBSITE
Authors: Ilham Syahriansya Ali , Fahrudi Setiawan Ahmad , Orisa Mira
Published: February 2024

Barbershop merupakan tempat pangkas rambut modern saat ini. Seperti yang ada di Kota Malang saat ini yang sudah sangat banyak yang membuka usaha pangkas rambut modern ini. Dibuatlah aplikasi pencarian barbershop terdekat agar memudahkan pengguna menemukan rekomendasi barbershop satu dengan barbershop lain dengan menggunakan metode Euclidean Distance, Realisasi yang diterapkan yaitu berbasis mobile yang menggunakan fitur GPS sebagai penentuan lokasi barbershop. Data barbershop yang dihimpun yaitu berjumlah 20 data, dan telah dilakukan pengujian yang menghasilkan selisih error yang cukup kecil yaitu 0,88% lebih jauh sebesar 5 meter dari titik yang berada pada google maps.