bluuebunny/crossref_metadata_2025 huggingface dataset:
FEPNet: A Feature Extraction-prediction Network for Coal Flotation Froth Image Segmentation
Authors: liao lingzhi , huang xianwu , zhang heng , shang haili , cao zhao , zhang jinshan
Published: September 2024

Coal flotation represents a flotation technique used to extract valuable mineral components from a coal slurry. The visual information on the coal slurry flotation froth's surface can both provide intuitive feedback on the flotation effect and guide the operator to adjust the flotation process parameters accordingly. However, the image segmentation of the coal flotation froth is challenging due to the problems of high noise, fuzzy boundaries, and strong adhesion. To address these problems, this paper proposes an innovative and effective segmentation model for coal flotation froth images named the Feature Extraction-Prediction Network (FEPNet). The FEPNet is a deep neural network model with an encoder-decoder structure, and it mainly consists of two parts, namely a feature extraction network and a prediction network.The network model is designed using the Stem Convolution Group module (SCG), Global-Local Hybrid Attention module (GLHA), and High-Width Combined Attention module (HWCA) to extract global and local feature information and realize multi-dimensional feature information fusion. The proposed FEPNet model is evaluated on a self-constructed image segmentation dataset of coal slurry flotation foams. Compared to the UNet model, the proposed model can improve the mIoU, DSC, and Acc metrics by 4.86, 2.86, and 3.48%, respectively. The experimental results show that the proposed FEPNet model can effectively address the segmentation difficulties of coal slurry flotation froth images. This study lays the foundation for optimizing the flotation process parameters and realizing the intelligence of flotation field parameters. In addition, generalization experiments are conducted on the skin lesion segmentation dataset, and the results show that the proposed FEPNet has excellent segmentation generalization ability.This paper provides a basis and reference for the automatic control of flotation process, and lays a foundation for improving production efficiency and product quality.
Spatiotemporal analysis of sea ice in the Weddell Sea of Antarctic based on GTWR
Authors: Ding Y. R. , Liu X. , Dai X. F. , Yang Y. , Yin G. Y. , Sun H. P. , Guo J. Y.
Published: September 2024

The Geographical and Temporal Weighted Regression (GTWR) method is employed to assess the impact of various environmental factors on sea ice concentration (SIC) in the Weddell Sea. Initially, MODIS-derived SIC was used to evaluate the accuracy of six SIC products derived from different satellite sensors and algorithms. The MWRI/NT2 product demonstrated the highest correlation with the MODIS data, validating its reliability for further analysis. Using the MWRI/NT2 product, along with ERA5 and NCEP/NCAR reanalysis datasets, we investigated the interannual and seasonal trends in SIC and sea ice extent (SIE) from 2011 to 2023. The results indicate a declining trend in SIE at a rate of -6.2 ± 1.9×10³ km²/yr, with the most significant ice loss occurring in autumn. The GTWR analysis highlights significant spatial and temporal variability in the factors influencing SIC in the Weddell Sea. The Latent heat flux (LH) emerged as the most influential factor, with a median standardized regression coefficient of 1.44. The LH primarily promotes sea ice growth by cooling the surface through the condensation of atmospheric water vapor. Zonal winds also played a critical role, particularly by promoting sea ice formation through Ekman transport of cold surface water. However, wind speed had a minimal impact on SIC, likely due to the lack of directional data in the ERA5 dataset. In contrast, the impact of net radiation (NR) varied significantly across the region, complicating its overall influence on sea ice dynamics. Sensible heat flux (SH) generally supported ice growth, except in the central Weddell Sea, where local conditions caused SH to inhibit ice formation. These findings underscore the complex interplay of environmental factors in shaping SIC.
“Some rumors can make you fear to use the methods”: A qualitative analysis of barriers to the utilization of modern family planning services among adolescent girls and young women in rural Northern Uganda
Authors: Ayugi Vella , Kimbugwe Denis , Laker Suzan Vicky , Bongomin Felix
Published: September 2024

Introduction:
Modern family planning services are crucial for sexually active Adolescent Girls and Young Women (AGYW) to prevent unintended pregnancies.
Objective
To explore the barriers to the utilization of modern family planning services among AGYW in Oyam District, Northern Uganda.
Methods
We conducted a qualitative study involving eight focus group discussions (FGDs) each with ten respondents, who were AGYW, aged 15–24 years residing in Oyam district Northern Uganda. The FGDs lasted 60–90 minutes and they were audio-recorded. Audio recordings were transcribed verbatim and Open Code software was used to evaluate the data using both an inductive and deductive thematic approach.
Results
Four main themes emerged as barriers to modern family planning services use. First, opposition to family planning including; religious, male and cultural opposition. Secondly, health concerns such as side effects related to family planning use. Thirdly, health systems factors such as low availability of family planning methods and long waiting time at the health facilities and lastly, rumors and misconceptions.
Conclusion
The barriers to the utilization of modern family planning methods among AGYW in Oyam District, Northern Uganda were consistent with those observed in other studies around the world. Interventions to improve access to modern family planning services among this population can be implemented under three broad themes. (1) Alleviating opposition to family planning, (2) Addressing health concerns related to family planning such side effects plus misconceptions/rumors and (3) Improving the quality of family planning services. For these interventions to be effective, they should be directed to the individual, the family/intimate partner, and the community at large.
Techno-economic and Carbon Intensity Analysis of CO2-derived Sustainable Aviation Fuel
Authors: Joshi Jitendra , Shen Qiqing , Garg Sahil , Bhatelia Tejas , Sun Biao
Published: September 2024

The aviation industry’s pursuit of achieving net zero hinges on large-scale and economical production of Sustainable Aviation Fuel (SAF). This study provides a comparative evaluation of the sustainability implications of SAF production pathways, particularly focusing on the integration of renewable energy sources and the potential for carbon emissions reduction. We investigated a three-step Alcohol-to-Jet pathway that integrates a thermochemical process to produce syngas (a mixture of CO and H2) from CO2 and a biological process to ferment syngas to ethanol, which is then converted to SAF via Alcohol-to-Jet. When compared with the industrially well-known Fischer-Tropsch process, the three-step Alcohol-to-Jet pathway demonstrates 1.6 times higher SAF yield and over 7% higher energy efficiency. Although the three-step Alcohol-to-Jet pathway has higher capital cost due to syngas fermentation, it produces SAF with the levelized cost of supply 14%-25% lower compared to Fischer-Tropsch pathway. Carbon intensity analysis shows that, to achieve comparable emissions as conventional jet fuel, at least 84.6% of the power used in SAF production must come from renewable sources. When renewable power is limited, utilizing methane as a feedstock can reduce overall emissions of SAF. Additionally, our findings on SAF economics highlight the necessity of policy interventions and incentives to advance SAF and renewable energy in the aviation sector.
Immunomodulatory Multifunctional Janus Collagen-based Membrane for Advanced Bone Regeneration
Authors: Li Defu , Yang Die , Xu Zhilang , Huang Dou , Luo Qi , Zhang Chunli , Guo Jimin , Tan Lu , Ge Liming , Mu Changdao
Published: September 2024

Guided bone regeneration (GBR) is a standard therapy for treating bone defects, with collagen-based barrier membranes widely used clinically. However, these membranes face challenges like early bacterial invasion, risking GBR failure. Effective strategies include orchestrating macrophage activation and controlling their M1 or M2 polarization during bone repair. We present a novel Janus collagen-based barrier membrane with immunomodulatory function. The porous layer promotes direct osteogenic differentiation and inward growth of osteoblasts. The dense layer prevents invasion of soft tissue into bone defects and protects bone defects from bacterial infection. The membrane also enhances rat bone marrow-derived mesenchymal stem cells (rBMSCs) infiltration, proliferation, and osteogenic differentiation by regulating the immune microenvironment. Cranial defect experiments show superior bone regeneration compared to the commercially available Bio-Gide® collagen membrane. Overall, the Janus collagen-based membrane reduces tissue inflammation and fosters an osteoimmune environment conducive to new bone formation, offering innovative material design for advanced GBR technology.
Conversion of Streetlights to Light-emitting Diode (LED) Type
Authors: Sankhwar Pravin
Published: September 2024

Due to the increasing need for energy conservation and improved outdoor experience, current streetlights require an upgrade to light emitting diode (LED) lighting. LEDs are well known for their better operating hours, brighter color temperature, and reduced energy consumption. According to the U.S. Energy Information Administration, lighting accounts for 17% of the energy consumption of commercial buildings [1]. Approximately 1–3% of the total electricity consumption comes from public street lighting and highway lighting globally [2]. There are several challenges associated with this large-scale transformation from high-pressure sodium (HPS) to light-emitting diode (LED) lights, starting with inaccurate or less information on the existing inventory, correct ownership determination, education on the use of LEDs, and financing/funding issues. In this paper, a methodology was presented to overcome the challenges of LED transformation. As a sample case based on the existing profile of high-pressure sodium (HPS), incandescent (INC), fluorescent (FL), metal halide (MH), and mercury vapor (MV) in the District of Columbia, energy conservation from the conversion of HPS to LED type was presented. Total energy savings and GHG reduction from this conversion yielded a positive outcome from large-scale replacements with LEDs. LED drivers are capable of withstand the stresses that streetlights are exposed to. However, additional considerations from a lighting equipment specifier to select drivers with more robust capacitors withstanding high heat and frequencies are needed. A simple evaluation of HPSs vs LEDs showed greater performance for lower-rated LED wattage luminaires.
In-vitro anti-bacterial activity, nutritional, physico-chemical and organoleptic evaluation: Sargassum sps- Tropical Brown Seaweeds
Authors: Chandrasekar Vasanthi , Velluru Appa Rao , Ravindran Narendra Babu , Raman Karunakaran , Subramanian Ezhil
Published: September 2024

Seaweeds and their metabolites finds application as a medicine, nutraceutical and as a food supplement due its antimicrobial properties and protection from environmental stressors. With this background, the study was conducted to explore the anti-microbial activity of Indian brown seaweed- Sargassum sps viz. S.polycystum, S. tenerrimum and S.cinctum collected from the ocean of Gulf of Mannar (Mandapam coast). S. tenerrimum was observed to have higher anti-microbial activity which was evident from the higher zone of inhibition at a concentration 200 µg/disc against Staphylococcus aureus (12.5mm), Bacillus cereus (11 mm), E coli (14 mm) and Pseudomonas aeroginosa (12 mm). S. tenerrimum recorded highest swelling (10.08c ± 0.88), water retention (8.99 ± 1.25) and oil retention capacity (1.01 ± 0.12), besides having high protein (13.42 ± 0.33), low fat (1.30 ± 0.30) and high dietary fibre (64.97 ± 4.71) and ash (30.76 ± 0.38) compared to the other two species. Organoleptic assessment also revealed S.tenerrimum as the choice among the three species of Sargassum. The results reveal the potential scope of utilization of S. tenerrimum as anti-microbial and nutritive enrichment in functional meat products.
Strong immune privileges of MSC and other Nes-GFP+ progenitors in bone marrow of transgenic mice
Authors: Karpenko D.V. , Kapranov N.M. , Bigildeev A.E.
Published: September 2024

Immune privileges have been demonstrated for several types of quiescent stem cells (SCs) in adult mammalian organisms. Cancer stem cells (CSCs) also manifest immune privileges, which is one of the main concerns in cancer therapy. To elucidate the strength of non-pathological SCs immune privileges, we implanted bone marrow of transgenic Nestin-GFP mice under the renal capsule of non-transgenic mice immunized with enhanced green fluorescent protein (GFP). We show that Nes-GFP+ mesenchymal stem cells (MSCs) and other subpopulations of Nes-GFP+ progenitors in mouse bone marrow have strong immune privileges, since they survive for at least six weeks despite targetedly activated against them full immune system. We also demonstrate that MSCs retain their functionality after exposition to such immune pressure by successful retransplantation of the foci into the secondary non-immunized recipients. We suggest that nestin could be a marker for a wide spectrum of quiescent SCs with strong immune privileges, including CSCs.
Modeling and Simulation of a Fully Autonomous Electric Vehicle (AEV)
Authors: Ajao Qasim , Sadeeq Lanre
Published: September 2024

With the continuous advancements in science and technology, there is an increasing focus on environmental sustainability, leading to heightened interest in autonomous electric vehicles (AEVs). AEVs hold significant potential for enhancing electric mobility, energy efficiency, environmental preservation, and driving capabilities. They offer numerous advantages that could revolutionize transportation and urban lifestyles, notably improving road safety by reducing human error-a leading cause of accidents. This paper presents a comprehensive simulation of an AEV by developing and integrating models for the driving system, battery, motor, transmission, and vehicle body within the MATLAB/Simulink environment. Each component is configured and interconnected to create a pure vehicle model. The simulation is performed under UDDS cycle conditions to evaluate the vehicle's performance in speed maintenance, driving distance, acceleration capabilities, and battery state-of-charge (SoC) dynamics. The results demonstrate that the car exhibits strong output characteristics. Furthermore, the driver model incorporates an energy brake recovery function, which, when set to a 50% recovery efficiency, increases the driving distance by 25% compared to a vehicle without this function.
Enhancing JavaScript Source Code Understanding with Graph-Aligned Large Language Models
Authors: Vadoce Theodor , Pritchard James , Fairbanks Callum
Published: September 2024

Understanding and analyzing source code effectively is a critical aspect of modern software development, given the growing complexity and scale of software systems. The novel integration of graph alignment into an open-source LLM, specifically adapted for JavaScript, introduces a significant advancement in capturing the intricate structural and semantic relationships within the code. Through leveraging graph-based representations such as Abstract Syntax Trees (ASTs), the model demonstrates an enhanced ability to comprehend code syntax, identify functional patterns, and detect anomalies, thereby surpassing traditional token-based models. Experimental evaluations across various code understanding tasks, including code summarization, function naming, and bug detection, reveal substantial improvements in accuracy and generalization capabilities, showcasing the efficacy of the graph-aligned approach. Comparative analysis with baseline models further establishes the superiority of the proposed method, indicating its potential to serve as a robust foundation for the development of more sophisticated automated code analysis tools. The implications of this research extend to the broader domain of software engineering, where the enhanced understanding of source code can facilitate more efficient development, debugging, and maintenance processes.
Educational communities of rural schools in the arctic (on the example of the Murmansk oblast): A social justice perspective on inclusion
Authors: Afonkina Yu. A. , Kuzmicheva T. V.
Published: September 2024

The article addresses the current problem of searching and substantiating mechanisms for the development of inclusive education. The research relevance is also determined by the Arctic context, which corresponds to the epistemological need of modern interdisciplinary knowledge in the development of inclusive education, the priorities of state policy, as well as to the expectations and demands of regional communities. The authors aim to study social interactions within rural schools in the Arctic from the standpoint of inclusion as an indicator of social justice (on the example of the Murmansk Oblast). To that end, rural schools are modelled and described based on the developed criteria. Difficulties experienced by the teachers in the course of inclusive educational process, including when using distance technologies, are typified. According to the results obtained, typical models of rural schools in the Murmansk Oblast include suburban schools and remote schools and their following variants: the school as a territorial cooperation, a border school, an isolated school, and an indigenous school. In all rural school models, under successful formation of external and internal social ties, a  shortage of special education teachers is observed. The  teachers face methodological, organizational, and social difficulties. In addition, the educational environment is not sufficiently accessible, which forms barriers to social justice. The revealed regional specificity of rural schools serves as a justification for a conceptual and substantive development of Arctic pedagogy. The results obtained are useful for further theoretical and empirical research in the field of inclusive education, as well as for the development of regional programs of inclusive educational practices, taking the differentiation of social conditions into account.
Implementation of Master’s degree programs in Artic indigenous languages in the higher education system (on the example of the Sámi language)
Authors: Bakula V. B. , Pastushkova M. A. , Savateeva O. V.
Published: September 2024

In this article, we discuss the specifics of implementing the Master’s degree program entitled “Technologies of teaching the Sámi language” launched at the Department of Philology, Intercultural Communication, and Journalism of the Murmansk Arctic University during the 2022–23 academic year. The lectures and practical sessions included in the program are briefly described. The methodological aspects of the discipline “Teaching the Sámi language (initial stage, school)” are presented in greater detail. The relevance of introducing a Master’s degree in this profile for reviving the Sámi language, which is on the verge of extinction, is shown. The factors leading to extinction of the indigenous language of the Kola North are outlined; measures for preserving and reviving the Sámi language are proposed.
Adaptive Imune Fuzzy Quasi-Sliding Mode Formation Tracking Control for Wheeled Mobile Robots with Obstacle Avoidance Under Incidence of Uncertainties and Disturbances: An Artificial Immune Systems Inspired Approach
Authors: Nakamura Goto Willy John , Bertol Douglas Wildgrube , Martins Nardênio Almeida
Published: September 2024

This paper presents an adaptive immune fuzzy quasi-sliding mode kinematic control integrated with a PD dynamic control for the trajectory tracking and the leader-follower formation control by nonholonomic differential-drive wheeled mobile robots under incidence of uncertainties and disturbances. An immune regulation mechanism bio-inspired approach with reaction effect established by novel fuzzy rules set to adjust the control effort adaptively is designed, also using a fuzzy boundary layer and introducing an adaptation law for the immune portion gain online adjustment in such a way that they can also avert parameter drift, dealing with the drawbacks of a classic first-order sliding mode control, suppressing chattering and still maintaining the robustness with no a priori knowledge of the bounds of the disturbances. An obstacle avoidance strategy with a reactive method and variable avoidance radius is also proposed. The stability analysis is performed based on the Lyapunov theory. Simulation results demonstrate the proposed control effectiveness.
The role of Water Operator Partnership in accelerating adoption of new working process for non-revenue water reduction: a case study – Waterworx WOP between Perumda Air Minum Tirta Moedal and VEI
Authors: Wiedilaksono Ardian , Kurniasari Ratna Budi , de Blois Reint-Jan
Published: September 2024

This paper presents the approach, results, and contributing factors to success of a Non-Revenue Water (NRW) reduction intervention in a Water Operator Partnership (WOP) between Perumda Air Minum Tirta Moedal Kota Semarang (PDAM Semarang) and VEI Dutch Water Operators (VEI). This paper makes a case for the prioritisation of small but smart operational investment to improve the water use efficiency (SDG 6.4) in infrastructure development programmes which typically focus on expanding network coverage (SDG 6.1) alone. The successful intervention is hinged on VEI's international track record, and PDAM's commitment to performance improvement. VEI training and coaching focused on strengthening the NRW management organisation, working processes, and skills to conduct top-down assessments by quantifying NRW components with historical data, localize leaks with live flow/pressure data, and pinpoint/repair leaks through active leak detection. PDAM staff demonstrated a steep learning curve by spearheading the establishment of a dedicated NRW department and sharpening its leak detection procedures to reduce NRW levels from 39 to 26% in 5 months in the pilot area. The evaluated business case revealed that the relatively small investment (USD 60.000) was recovered within 1.2 years.
Biofilms on urban aquatic plastic pollution as a reservoir for pathogenic yeasts
Authors: Baker Tyla , Bester Armand , Sebolai Olihile , Albertyn Jacobus , Pohl Carolina
Published: September 2024

Pollution of aquatic environments is a concern and poses a health risk to aquatic and terrestrial life. Plastic pollutants act as surfaces to which microorganisms adhere, forming a community known as the plastisphere. Studies investigating the bacterial diversity of the plastisphere are plentiful, but less is known about the fungal communities, especially yeasts, within these biofilms. Given the increasingly recognised threat of yeast infections, it is important to investigate the environmental presence of potential pathogenic yeasts on possible vehicles that may contribute to their distribution. In this study, the fungal diversity of the plastisphere of various types of plastic polymers collected from an urban freshwater source was analysed, and possibly pathogenic yeast strains were identified. Isolates were also tested for susceptibility to the antifungal, fluconazole. Microscopy sheds light on the overall diversity found in the plastisphere, while metagenomic data revealed that fungal plastisphere communities are dominated by the phylum Ascomycota. Both metagenomic and culture-dependant analysis revealed the presence of possibly pathogenic yeast in the genera Candida (some with low fluconazole susceptibility) and Exophiala. This highlights the possibility that the plastisphere may harbour pathogenic yeasts and could contribute to their distribution in the environment and transmission between the environment and humans.
Testing of various membranes for removal of chemical oxygen demand in real fresh human urine using a cross-flow filtration system
Authors: Isik Zelal , Dizge Nadir
Published: September 2024

Urine is primarily composed of water (about 95%), with urea (around 2%), creatinine (approximately 0.1%), uric acid (about 0.03%), and various ions. Although human urine constitutes 1% of the volume of domestic wastewater, it contains significant amounts of chemical oxygen demand (COD) (∼10%). This study focused on the elimination of COD in urine using a cross-flow filtration system and testing the effectiveness of various membranes (microfiltration (MCE01), ultrafiltration (UP005 and UP010), and nanofiltration (NP010 and NF270)). The steady-state flux of the NF270 membrane increased from 10.8 to 23.9 L/m2/h as the pressure increased from 10 to 25 bar. A significant COD removal efficiency was obtained for the NF270 membrane at an operating pressure of 25 bar. COD concentration decreased from 7,392 to 1,270 mg/L with 82.8% rejection. In contrast, none of the membranes performed well in terms of urea removal efficiency. According to the findings, urea concentration decreased from 6,712 to 6,043 mg/L with 9.9% rejection. Moreover, ion contents (calcium (Ca2+), magnesium (Mg2+), sodium (Na+), potassium (K+), ammonium (NH4+), phosphate (PO43−), sulfate (SO42−), and chloride (Cl−)) of the membrane permeates were also measured.
Integrated treatment of black wastewater using sedimentation, constructed wetland, and nanoparticles coagulation
Authors: Abdel-Shafy Hussein I. , Mansour Mona , El-Khateeb Mohamed A. , Deng Yang
Published: September 2024

The aim of the present investigation was to achieve an efficient treatment for black wastewater for non-restricted reuse. The treatment included sedimentation followed by horizontal flow constructed wetland (HF-CW), and finally chemical coagulation using magnetite (Fe3O4) nanoparticles. For the wetland, the average organic loading rate (OLR) was 42.83 biochemical oxygen demand (BOD)/m2day and 71.30 g chemical oxygen demand (COD)/m2 day, while average surface loading rate was 0.185 m3/m2 day. The obtained results revealed that removal percentage of COD, BOD, and total suspended solids (TSS) by sedimentation followed by processing through wetlands was 80.3, 81.6, and 80%, which corresponds to 76, 42.56, and 54 mg/l, respectively. When magnetite nanoparticles were added to the HF-CW effluent at the optimum dose of 25 mg/l in combination with 10 mg/l FeCl3, the overall removal rate increased to reach 95.9, 99.1, 99.17, 92.3, 94.3, 94.3, and 91.3% for turbidity, COD, BOD, TSS, phosphate (PO4), total nitrogen (TN), and sulfide, respectively. The corresponding residual concentrations were 5 NTU, 8, 5, 18 according to table 3, 0.07, 1, and 1.04 mg/l, respectively. According to the national and international regulations, the present final treated effluent can be safely reused as a non-restricted source for agriculture purposes. The overall results revealed that the implemented study is simple, efficient, reliable, and economical, particularly for remote areas, according to the non-restricted reuse requirements.
Multimodal Data-driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans using Deep Learning
Authors: Ma Xiaoqiang , Lin Qiang , Guo Sihan , He Yang , Zeng Xianwu , Song Yaqiong , Cao Yongchun , Man Zhengxing , Liu Caihong , Huang Xiaodi
Published: September 2024

Background:

Patients with malignant tumors often develop bone metastases. SPECT bone scintigraphy is an effective tool for surveying bone metastases due to
its high sensitivity, low-cost equipment, and radiopharmaceutical. However, the low spatial resolution of SPECT scans significantly hinders
manual analysis by nuclear medicine physicians. Deep learning, a promising technique for automated image analysis, can extract hierarchal
patterns from images without human intervention.

Objective:

To enhance the performance of deep learning-based segmentation models, we integrate textual data from diagnostic reports with SPECT bone
scans, aiming to develop an automated analysis method that outperforms purely unimodal data-driven segmentation models.

Methods:

We propose a dual-path segmentation framework to extract features from bone scan images and diagnostic reports separately. In the first path, an
encoder-decoder network is employed to learn hierarchical representations of features from SPECT bone scan images. In the second path, the
Chinese version of the MacBERT model is utilized to develop a text encoder for extracting features from diagnostic reports. The extracted textual
features are then fused with image features during the decoding stage in the first path, enhancing the overall segmentation performance.

Results:

Experimental evaluation conducted on real-world clinical data demonstrated the superior performance of the proposed segmentation model. Our
model achieved a 0.0209 increase in the DSC (Dice Similarity Coefficient) score compared to the well-known U-Net model.

Conclusions:

The proposed multimodal data-driven method effectively identifies and isolates metastasis lesions in SPECT bone scans, outperforming existing
classical deep learning models. This study demonstrates the value of incorporating textual data in the deep learning-based segmentation of lowresolution
SPECT bone scans.
The Neuroprotective Role of Tangeritin
Authors: Fatima Javeria , Siddique Yasir Hasan
Published: September 2024

The prevalence of neurodegenerative diseases has increased with longer life expectancies,
necessitating the exploration of novel neuroprotective agents. Tangeretin, a polymethoxylated
flavone derived from citrus fruits, has gathered attention for its potential therapeutic effects.
This review highlights the neuroprotective properties of tangeretin via its antioxidant and
anti-inflammatory mechanisms. Tangeretin demonstrates efficacy in mitigating oxidative stress,
neuroinflammation, and neuronal damage across various neurodegenerative conditions, including
Alzheimer's disease, Parkinson's disease, cerebral ischemia, and epilepsy. It shows promise in
ameliorating cognitive deficits and memory impairments associated with these diseases. Moreover,
tangeretin modulates multiple signalling pathways and protects against neuronal apoptosis,
underscoring its potential as a therapeutic agent.
The Effect of Ethnomathematics Approach on Numbers 1-20 Counting Skills for Children 4-6 Years Old
Authors: Siregar Sakinah , Lubis A. Naashir M. Tuah
Published: September 2024

Children aged 0-6 years are at an age where cognitive development is very rapid. Counting ability is one of the things that cannot be ignored in this case. The Ethnomathematics approach is an approach that prioritises cultures that contain mathematical values This study aims to determine the ethnomathematics approach to counting skills 1- 20 students aged 4-6 years. This research is a quasi-experimental research with posttest only control design, with a sample of 22 children out of 44 students at RA Al-Qur'an Dina Padang Matinggi. The results showed a significant effect of initial counting ability on the final counting ability of experimental class students using the ethnomathematics approach.experimental class students who used the ethnomathematics approach. Statistical results show the value of F = 18,861 with a significance of 0.000 (p < 0.05). The Ethnomathematics approach can be used in the learning process at the early childhood education level. So that counting skills can develop through this approach. And of course it is necessary to pay attention to the understanding of the culture possessed by students after the learning process is carried out
Perception Of Artificial Intelligence Adoption on Audit Quality
Authors: Herfanda Nugraha Georgius Chandra
Published: September 2024

This study investigates the adoption of Artificial Intelligence (AI) in auditing. The study aimed to identify the effects of AI adoption on audit quality and whether the technology readiness dimension moderated the relationship. The data were collected via surveys and analyzed by using multiple regression. The results showed that optimism affected AI adoption, while insecurity did not. Interesting results found that innovation and discomfort did not moderate the relationship in the model. This research has implications for companies and educational institutions concerned with future accounting profession training on new technology skills and competencies, especially AI and planning technology adoption strategies to improve audit quality. This research provides initial insight into the psychological factors influencing AI adoption in auditing and leads to further research with pre-adoption and post-adoption identification.
Kemampuan Manajerial dan Kompensasi Manajemen terhadap Penghindaran Pajak dengan Kualitas Audit sebagai Moderasi
Authors: Khoirunnisa' Lisa Oktaviana , Suwardi Eko
Published: September 2024

Penelitian ini bertujuan untuk menguji hubungan antara kemampuan manajerial, kompensasi manajemen, dan kualitas audit terhadap penghindaran pajak pada perusahaan manufaktur di Indonesia. Berdasarkan penelitian sebelumnya yang membahas hubungan langsung antara kemampuan manajerial dan kompensasi manajemen terhadap penghindaran pajak, penelitian ini memasukkan variabel kualitas audit sebagai moderasi yang masih sangat sedikit diteliti.Penelitian ini menggunakan pendekatan kuantitatif. Pengambilan sampel menggunakan nonprobability sampling dengan teknik purposive sampling. Populasi penelitian adalah perusahaan manufaktur terdaftar di BEI tahun 2011-2015.Penelitian ini melakukan pengujian dengan menggunakan pendekatan Moderated Regression Analysis dengan penghindaran pajak sebagai variabel dependen. Kemampuan manajerial, kompensasi manajemen sebagai variabel independen dan kualitas audit sebagai variabel moderasi. Berdasarkan data yang didapatkan sebanyak 271 total pengamatan dari 60 perusahaan, ditemukan dua hipotesis terdukung dan tiga hipotesis tidak terdukung. Ditemukan kemampuan manajerial dan kualitas audit berpengaruh signifikan terhadap penghindaran pajak. Kompensasi manajemen tidak berpengaruh signifikan dan kualitas audit tidak dapat memoderasi hubungan kemampuan manajerial dan kompensasi manajemen terhadap penghindaran pajak.Hasil penelitian ini menyimpulkan bahwa praktik penghindaran pajak tidak mudah untuk ditemukan dan diungkapkan oleh otoritas pajak sendiri. Kebutuhan akan kerja sama antara pemerintah, otoritas pajak, dan auditor eksternal sangat berperan penting untuk memitigasi tindakan penghindaran pajak oleh perusahaan.
Participatory Online News Expertise and Credibility: A Study on Visual Citizen in TikTok bikini.bottom.news
Authors: Amelia Syfa , Wibowo Arif Ardy
Published: September 2024

TikTok already has the power to spread news apart from providing entertainment content. The emergence of TikTok is very massive and is used by many groups. TikTok brings a novelty with its content which is not only entertaining like lots of challenge videos and also often informative because many news channels have started to use TikTok as their media platform. One of them is the Bikini Bottom News TikTok account which actively reports the latest information on both socio-political issues and issues of international celebrities. The expertise of journalists and the credibility of TikTok, which started as an entertainment platform, come into question when we talk about news. This study analyzes the expertise and credibility of participatory online news in the visual community or citizens. Using case studies by conducting literature reviews and discussions with informants who have the same background, namely students regarding the bikini.bottom.news account, the authors obtain data that the TikTok platform, especially on the bikini.bottom.news account has two acceptances, which are considered to have met the skill requirements of a journalist to be trusted for the credibility of the news content and are considered not in accordance with the provisions of the expertise of a journalist and the content is considered not credible.
Combining Servqual and Kano: Justification for Best Action and Its Selection Process
Authors: Supangkat Hendrarto Kurniawan , Savitri Gusti Ayu Made Hanny Dian
Published: September 2024

This study aims to enhance the existing literature on the integration of Servqual and Kano concepts by providing a comprehensive justification for recommending improvement actions to service attributes. By utilizing a theoretical service model that considers factors previously overlooked, such as the impact on revenue and cost, performance variability, diminishing marginal utility in consumption, and diminishing marginal product of resources, this study offers propositions and proofs for the best actions in each paired category of service attributes within the combined Servqual and Kano assessments. The findings are presented in the form of an evaluation table, which links each paired category of attribute with its respective optimal action. Importantly, this study introduces novel perspectives on the definition of the best action and the basis for its selection. Unlike previous works that solely focus on customer satisfaction, this research defines the best action from the perspective of the service provider whose primary goal is to maximize profit. The proposed procedure for determining the best action obtained in this study is more justifiable, as it relies less on the ambiguous process of correctly identifying the final categories of attributes in both models. To illustrate the new integration process, an example based on simulated data is also provided. Overall, this study contributes to the field by offering a comprehensive and justified approach to improving service attributes through the integration of Servqual and Kano concepts.
Indonesia’s Confidence Crisis: A Bibliometrics Analysis
Authors: Cahyani Cindy Amalia , Yulianingsih Yulianingsih , Megawanti Priarti
Published: September 2024

The low self-confidence of students in Indonesia has an impact on many aspects. In education, students often plagiarize their friends' answers to get good grades. Apart from that, cases of bullying, body shaming, and even suicide are caused by students' low self-confidence. This article aims to bibliometrically examine research trends on self-confidence in Indonesia. This article uses bibliometric analysis to conclude the position of the self-confidence crisis on the research map in Indonesia. With the help of Publish or Perish software from Harzing and VOSviewer, 1,000 articles were obtained. These articles were then analyzed based on scientific impact categories from Google Scholar, assisted by Publish or Perish, as well as visual displays from VOSviewer. The display produced by VOSviewer shows that self-confidence is still something that can be researched, especially if it is associated with several keywords that are far from the word self-confidence. Apart from that, from the search results, it was found that parents and educators have a great impact on efforts to increase self-confidence.
INFORMATION SECURITY AND THE DEVELOPMENT OF EDUCATIONAL ENVIRONMENT OF THE 21ST CENTURY
Authors: Olalekan L. A. Ogunjimi , Patrick O. Adebayo , Abel S Adesanya , Waid A. Alasiri , Sadiq O. Bamgbose
Published: September 2024

In the 21st century, information security has emerged as a critical concern for educational environments. This paper delves into the definition and scope of information security, highlighting its key principles and best practices. It underscores the relevance of robust information security measures for educational institutions, which face unique threats such as cybersecurity risks, data privacy issues, and security breaches. By examining real-world examples, the paper illustrates these threats and their potential impact. Strategies for enhancing information security in educational settings are discussed, including implementing advanced cybersecurity protocols, the importance of training and awareness programs, and the benefits of collaboration with industry experts and government agencies. The paper also explores the positive impact of information security on educational development, such as creating a safe learning environment, fostering innovation and technology integration, and maintaining the confidentiality and integrity of educational data. The conclusion emphasizes the critical need for proactive information security measures in educational institutions and considers future advancements and strategies to address emerging threats.
Exploring Social Networks: An Analysis of Intra-organizational Networks
Authors:   Sacred Heart University, Chen Ximeng , Cao Yiding ,   Binghamton University, SUNY, Liu Jiachen ,   China Galaxy Securities, Bandara Danushka ,   Fairfield University, Sayama Hiroki ,   Binghamton University, SUNY
Published: September 2024

This research investigates intra-organizational social networks by employing network science methods, aiming to provide actionable insights for both managers and employees. Using datasets from the Colorado Index of Complex Networks (ICON), this study examines four intra-organizational networks from a consulting firm and a research team, focusing on advice requests and skill awareness. The analysis includes network topology, degree distribution, community detection, correlation between communities and node attributes, maximal clique detection, and multilayer network analysis. The findings reveal that intra-organizational networks are intricate and significantly impact organizational efficiency and individual career development. Key insights include the importance of mid-level employees in network connectivity, the existence of "bad edges" where advice is sought from less competent peers, and the influence of regional and locational factors on communication patterns. The study emphasizes the need to enhance knowledge sharing and inter-region communications. For employees, understanding the structure of these networks can guide them to more effectively leverage their social connections for career advancement. This interdisciplinary effort bridges gaps in the existing literature and showcases the potential of integrating network science methods into social science research.
O MÉTODO DE PESQUISA DE MARX
Authors: Orso Paulino José
Published: September 2024

A discussão acerca dos métodos de pesquisa é de suma importância, sobretudo, no âmbito acadêmico, e discussão acerca do método materialismo histórico-dialético se sobressai ainda mais, tendo em vista que está comprometido com os trabalhadores e a transformação social. A despeito disso, tem sido pouco discutido, e quando se discute, praticamente se limita a tratar do materialismo histórico-dialético. Nesse artigo, diferentemente, subordinamos a discussão do método de Marx aos objetivos de Marx e Engels, quer dizer, procuramos discutir os motivos pelos quais os autores buscaram com afinco um método que atendesse às necessidades históricas dos trabalhadores, isto é, a transformação social.
REPRESENTACIONES SOCIALES DEL “ÚLTIMO DISCURSO” DEL SUICIDA
Authors: Hernández Ruiz Laura
Published: September 2024

Este estudio forma parte de la investigación sobre las percepciones delsuicidio en Chichí Suárez, Yucatán, entidad que se caracteriza por teneruno de los índices más altos de suicidios en el país.La gente del lugar identifica un “discurso” final del suicida a travésde sucesos fisiológicos involuntarios del cuerpo a los que atribuyenfacultades comunicativas. Con los esquemas reportados construyensignificados, permeados por la intencionalidad del intérprete-emisor.Su representación social evidencia una última comunicación del sujeto,mediante un cuerpo en plena transformación, motivo por el que se valede ciertas habilidades no verbales para interactuar.Se destaca el uso de la lengua para identificar la percepción y lasrepresentaciones sociales de la comunidad y hacer la categorización deacuerdo con las evidencias reportadas.
LA REVOLUCIÓN MEXICANA EN UNA COMUNIDAD INDÍGENA. DOS INTERPRETACIONES DE UN MISMO ACONTECIMIENTO
Authors: Muñoz Morán Óscar
Published: September 2024

En la comunidad purépecha de Sevina (Michoacán) la Revolución se haconvertido en un acontecimiento de ingrato recuerdo para sus habitantes.Presente en narraciones, pero también en prácticas comunitarias oen creencias generalizadas, se conmemora también cada 20 de noviembreen forma de desfile. El evento entonces adquiere característicasnacionales, aunque sin dejar de lado los referentes locales. En este textose analizarán los mecanismos mediante los cuales las dos visiones delacontecimiento conviven en la interpretación que los sevinenses hacendel pasado.
La tormenta solar perfecta. Meteorología del espacio y sus aplicaciones
Authors: González Esparza Juan Américo
Published: September 2024

El libro explica al Sol y su funcionamiento. Posteriormente expone la composición de la atmósfera de la Tierra y cómo esta nos protege de las emanaciones del viento solar. Después describe la relación del Sol con la Tierra y cómo la actividad solar puede afectar a nuestro planeta. Todas estas explicaciones sirven para entender lo que son las tormentas solares y, a continuación, explica los registros históricos que se tienen de este tipo de fenómenos para posteriormente señalar lo importante que es la planeación para la elaboración de planes de emergencia en casos de que suceda una tormenta solar perfecta. El libro termina señalando qué es lo que se hace, y lo que falta por hacer, en México para estar prevenidos cuando suceda este tipo de fenómeno natural.
Métodos de laboratorio para el análisis de suelos
Authors: Anaya Merchant Carlos Antonio
Published: September 2024

Mariposas Migrantes. Gráfica Michoacana, nace con una visión binacional retomando la idea, por un lado, del Maestro Héctor Duarte y su proyecto de intervención mural “Mariposas migrantes” en Caurio de Guadalupe, Michoacán, y, por otro, se incorporó la experiencia del proyecto “Acordes de Vida. Guitarras gráficas” de 2018. En el presente proyecto se hace un esfuerzo de coordinación y trabajo colectivo entre las Casas Michoacán, Federación de Clubes Michoacanos en Illinois (FEDECMI), la Escuela Nacional de Estudios Superiores unidad Morelia (ENES Morelia UNAM), la Universidad Michoacana de San Nicolás de Hidalgo, así como talleres y colectivos independientes de gráfica en Michoacán. Cada día la comunidad migrante en Chicago y diversos artistas michoacanos radicados tanto en México como en Estados Unidos de Norteamérica se identifican como familias transnacionales.
Fuentes poético-musicales del Archivo de Música del Colegio de Santa Rosa María Valladolid
Authors: Aguilar Gómez Abraham , Borges Montaño Héctor Isaac , Cornejo Córdova Daniel , de los Santos Monroy Frida , Delgado Leyva Jorge , García Tinoco Giovana , González Cortés José Roberto , González Palacios Eduardo , Guzmán Ortiz Frida Citlalli , Hernández Velasco Samantha Ivonne , López Hernández América Guadalupe , Mendoza García Mariana
Published: September 2024

El libro Fuentes poético-musicales del Archivo de Música del Colegio de Santa Rosa María de Valladolid ofrece información detallada sobre 181 manuscritos musicales con poesía cantada anotada entre obras completas, incompletas y fragmentos, y que actualmente se resguarda en el archivo musical del Conservatorio de las Rosas, A.C. Se trata de un rico acervo conformado por una gran variedad de géneros, festividades y estilos que incluye villancicos, pastorelas, coplas, letras, romances, cantadas, arias, comedias, autos sacramentales, loas, entremeses y misterios, entre otros, que fueron copiados entre 1743 y 1799. Los datos que brinda el libro son un importante testimonio de las prácticas musicales y de las preferencias poéticas de la segunda mitad del siglo XVIII en la ciudad de Valladolid, hoy Morelia.