bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction and analysis of anti-aging peptides using machine learning algorithms
Authors: Zhang Zhiyuan , Chen Yuanyuan , Chen Guozhong , Wang Mingyang , Pan Yuanyuan , Li Erguang
Published: July 2024

Background The process of aging is an intrinsic and inevitable aspect of life, affecting every organism. Diseases associated with aging pose a significant challenge to global healthcare system. In recent years, with the application of peptide therapy in geriatric research, anti-aging peptides have emerged as a promising strategy for combating aging. These peptides, with their low immunogenicity and ease of synthesis, hold promise as potential therapeutics for aging. Consequently, the accurate identification and discovery of more anti-aging peptides is of paramount importance. However, to date, no computational methods have been employed by researchers to identify such peptides. Results In this study, we innovatively constructed a benchmark dataset of anti-aging peptides based on the biological functions and significance of these peptides. Subsequently, we proposed Antiaging-FL, a prediction model based on feature representation learning and machine learning, to predict anti-aging peptides. The results indicate that Antiaging-FL achieved an AUC, ACC, and MCC value of 1.0, 0.997, and 0.995, respectively, on the AAP400 dataset, and an AUC, ACC, and MCC value of 0.99, 0.97, and 0.95, respectively, on the test set, demonstrating excellent predictive performance. Conclusions We have developed a powerful bioinformatics tool, Antiaging-FL, to expedite the discovery of new putative anti-aging peptides. In the future, Antiaging-FL could assist researchers in related fields and provide insights into the functional mechanisms of anti-aging peptides, while also guiding drug development in aging research.
A Two-Phase Bootstrap Approach to Facilitate Conversion from Text to Semantic Graph
Authors: Abd-Elrahem Mohamed , El-gamal salwa , Abd-Elfattah Besheer , Zaki Mohamed
Published: July 2024

This paper presents a two-phase un-learnable approach to convert a text to its semantic graph. In the first phase: divide and conquer, the input text is divided into small pieces manageable by the available text to graph conversion tool (e.g.: Senna). This phase as such yields a collection of small subgraphs that don’t represent the entire text as a whole, however each individual small subgraph represents a corresponding piece of input text. In the second phase: focus attention, the underlying subgraphs are appended together by making use of a bootstrap algorithm to provide a strongly connected single graph that represents the entire input text. In the two phases, both SRL and RDF are considered and thoroughly explained. Accordingly, the corresponding two algorithms on divide and conquer and focus attention are bootstrapped (for both SRL and RDF), are evaluated and compared. The implementation of the such algorithms has indicated that this approach can be used with advantages of being simple, fast, straightforward and practical, which makes it attractive for those NLP researchers who are interested in converting texts to semantic graphs.
Mitigation of Lps-induced Anxiety and Oxidative Stress Through Mitragynine: Targeting Tlr-4 and Mda Modulation
Authors: Faiz Hanisah Muhammad , Abdullah Muhammad Hazim , Yunusa Suleiman , Has Ahmad Tarmizi Che , Hassan Zurina
Published: July 2024

Introduction: Neuroinflammation marked by increased toll-like receptor (TLR)-4 expression contributes to the pathogenesis of anxiety disorders. Mitragynine, an indole alkaloid derived from the kratom plant (Mitragyna speciosa Korth), shows promise as a potential pharmacotherapeutic agent for anxiety due to its anti-inflammatory activity. However, the mechanism involved in its anxiolytic effect remains unclear.
Aims: This study investigated the effects of mitragynine on anxiety-like behaviours, TLR4 expression and oxidative stress in the frontal cortex of rats treated with lipopolysaccharide (LPS).
Methodology: Rats received a single 1 mg/kg LPS injection intraperitoneally (i.p.) to induce anxiety. Mitragynine was then administered at the doses of 1, 5 or 10 mg/kg body weight 1h post-LPS administration. Impact of mitragynine on anxiety was assessed using both open field test (OFT) and elevated plus maze (EPM). TLR4 expression was measured using western blot, while oxidative stress markers (MDA, GSH, GPx, CAT) were measured using protein assays.
Results: Mitragynine ameliorated LPS-induced anxiety behaviours in the EPM. Mitragynine (5 and 10 mg/kg) reversed the effect of LPS on TLR4 expression in the rats’ brains. All doses of mitragynine reduced lipid peroxidation in the frontal cortex of LPS-treated rats.
Conclusion: Mitragyninemitigates LPS-induced anxiety by alleviating lipid peroxidation in the frontal cortex.
Bacterial Attachment and Junctional Transport Function in Induced Apical-Out Polarized and Differentiated Canine Intestinal Organoids
Authors: Yoshida Shino , Nakazawa Meg , Kawasaki Minae , Ambrosini Yoko. M.
Published: July 2024

Background Dogs are increasingly recognized as valuable large animal models for understanding human intestinal diseases, as they naturally develop conditions similar to those in humans, such as EnterohemorrhagicE. coli,Clostridium difficileinfection, inflammatory bowel disease, and ulcerative colitis. Given the similarity in gut flora between dogs and humans, caninein vitrointestinal models are ideal for translational research. However, conventional extracellular matrix-embedded organoids present challenges in accessing the lumen, which is critical for gut function. This study aimed to investigate the feasibility of inducing polarity reversal and differentiation in canine apical-out colonoids, evaluate their barrier integrity, and visualize host-pathogen interactions. Results Our results demonstrated successful polarity reversal and differentiation induction while maintaining barrier integrity. Polarity reversal allowed for enhanced observation of host-pathogen interactions, facilitating visual assessments and membrane integrity evaluations using both pathogenic and nonpathogenicE. coli. This process led to the downregulation of stem cell markerLGR5and upregulation of intestinal epithelial cell markerALPI, indicating differentiation. Further differentiation was observed with the use of a differentiation culture medium, resulting in significant upregulation ofALPIand goblet cell markerMUC2. Conclusion The findings suggest that apical-out canine colonoids can serve as physiologic and valuable models for studying the pathogenic mechanisms and clinical significance of intestinal diseases in dogs. This model has the potential to advance both canine and human gastrointestinal research, enhancing our understanding of gastrointestinal physiology and pathology, and aiding in the development of novel therapeutics.
Implementation of Banded Smith-Waterman Sequence Alignment Algorithm on CPU and FPGA
Authors: Mukherji Prachi , Rajput Seema H. , Kendre Nandini , Mudaliar Vaishnavi
Published: July 2024

Sequence alignment(SA) is a fundamental aspect in the field of bioinformatics, crucial for various applications such as DNA sequencing and protein structure prediction. It involves the process of comparing a new genome sequence with the sequences previously stored in a database. However, the computational demands of Smith-Waterman alignment can be substantial, particularly when analyzing large genomic datasets. To address this challenge, we present a comprehensive comparative study that explores the acceleration of Smith-Waterman sequence alignment using different hardware platforms: Central Processing Units (CPUs) and Field-Programmable Gate Arrays (FPGAs. In this study, we evaluate and contrast the performance and scalability of Smith-Waterman alignment on these platforms, considering CPU and FPGA-based implementation. We assess their computational capabilities and memory requirements for various sequence lengths and scoring parameters. Through extensive benchmarking and sequence analysis, particularly on heterogeneous CPU + FPGA platforms profiling, we provide insights into the advantages and limitations of each platform, shedding light on the trade-offs between computation speed and hardware cost.
Thermal Frontal Polymerization in Polymer Composites: Numerical Simulation and the Role of Fe 3 O 4 Nanoparticle Fillers
Authors: Lang Margit , Schmidleitner Christoph , Kasinikota Venu Prakash , Rossegger Elisabeth
Published: July 2024

Recently Thermal Frontal Polymerization (TFP) has emerged as a low-energy alternative, that enables rapid and energy-efficient manufacturing of composites. Thus, compared to conventional processes, this innovative curing and polymerization process exhibits improved efficiency and reduced environmental impact and provides a promising strategy to address sustainability challenges. However, successful TFP requires a delicate balance of reaction rates, exothermicity, and efficient heat transport into unpolymerized media while minimizing heat losses to the surroundings. In this context, sustaining TFP of polymers reinforced with highly conductive fillers is challenging due to the increased energy dissipation and reduced availability of exothermic energy as the filler content increases at the cost of resin volume. In this work, a numerical study of the TFP based manufacturing of Bisphenol A Diglycidyl Ether (BADGE) filled with Fe3O4 nanoparticles is presented. The simulation provides insight into the thermo-chemical process and into the impact of different particle filling degrees on the key characteristics of TFP, i.e., maximum attainable degree of cure, maximum temperature, front shape, and front speed.
Efficacy of biochar on the phytoremediation potential of Tithonia diversifolia on spent oil-contaminated soil
Authors: Ogunremi Olamide Omolafe , Amubieya Omolara Faith , Ogunkunle Clement Oluseye , Fatoba Paul Ojo
Published: July 2024

The application of biochar has gained attention as a simple, affordable and sustainable strategy for the remediation of contaminated soils. However, the phytoremediating potential of certain plants and interactions with biochar are necessary to achieve effective environmental clean-up. This study evaluated the influence of biochar on the remediation potential of Tithonia diversifolia grown in spent oil-contaminated soil. T. diversifolia was grown in spent oil-contaminated soil amended with rice biochar and sorghum biochar at four different application rates (1, 2 and 3% w/w) for 6 weeks. The heavy metals studied included copper (Cu), zinc (Zn), lead (Pb), cadmium (Cd) and chromium (Cr). The results of this study showed that compared with the other treatments, rice biochar strongly enhanced the growth of T. diversifolia. RB3% influenced the phytostabilization potential of T. diversifolia for Cu. However, StB3% and SB3% enhanced T. diversifolia’s potential capacity for the phytoextraction of Cr and Pb, respectively. Generally, the response of T. diversifolia to phytoextraction and phytostabilization is dependent on the biochar and application rate used. Hence, there is a need for further research on the use of T. diversifolia for remediation purposes under the influence of specific biochar types and application rates.
FedCEA: Efficient Adaptive Personalized Federated Learning based on Critical Learning Periods
Authors: Yu Yichun , Yang Xiaoyi , Chen Zheping , Lan Yuqing , Xing Zhihuan , Yu Dan
Published: July 2024

Federated learning (FL) faces significant challenges due to statistical heterogeneity, which undermines the global model's generalization capability across diverse clients. Personalized FL (pFL) has been extensively studied to address this, but most existing approaches erroneously assume all stages of the FL training process are equally critical and require the participation of all clients, leading to substantial computational and communication overhead. Addressing this flaw, we propose an efficient adaptive pFL method, FedCEA, based on critical learning periods (CLP). FedCEA tailors efficient models for each client while ensuring data privacy and security by considering CLP during the training process to guide client selection. This approach reduces client-server communications, accelerating model convergence. To enhance the global model's generalization across clients with statistical heterogeneity, we introduce an Adaptive Initialization of Local Models (AILM) module with a personalized aggregation strategy. Additionally, training parameters are dynamically adjusted based on dataset quality to ensure efficiency. FedCEA also employs a compression method that assesses the importance of model parameters, reducing communication and computational costs. To evaluate the effectiveness of FedCEA, we conduct extensive experiments with four benchmark datasets in computer vision and natural language processing domains. The results consistently showed that FedCEA achieves improved accuracy and superior communication efficiency compared to state-of-the-art methods. This makes FedCEA a promising solution for handling heterogeneity in federated learning training. Code is available at https://github.com/buaaYYC/FedCEA/tree/main.
A Salutogenic Signature of the Placebo Effect in Brain Oscillations: A Systematic Review and Meta-Analysis
Authors: Fregni Felipe , Ortega-Márquez Jorge , Gonzalez-Gonzalez Luis Fernando , Sosa William , Pacheco-Barrios Kevin
Published: July 2024

Brain oscillatory activity and its role as a biomarker in mental health and human behavioral mechanisms stands as an unexplored tool to explain the placebo effect. This systematic review and meta-analysis characterize, for the first time, the neural mechanistic biomarkers of placebo effect in neurorehabilitation. A systematic literature search based on PRISMA guidelines was conducted in PubMed, Embase, and Cochrane Library including randomized controlled trials (RCTs), and cross-over trials up to August 2023. The review included studies reporting brain oscillations in resting state as outcome in placebo-controlled neurorehabilitation trials. A qualitative, semi-quantitative, quantitative analysis was performed using minimal statistical information from each study and calculating effect sizes of absolute power differences between placebo and active intervention groups using Hedges’ g statistic method. The analysis included 63 studies: 5 (180 healthy subjects) and 58 (1758 patients with neurological disorders). In healthy population, placebo interventions showed an increase in alpha power when comparing versus no intervention (g = 0.45, 95% CI [0.09; 0.8]). In subjects with neurological disorders sham intervention showed increase in alpha frontal (g = 0.08, 95% CI [0.07; 0.08] ), alpha central (g = 0.55, 95% CI [0.47; 0.65]), alpha parietal (g = 0.28, 95% CI [0.18; 0.44]), beta central (g = 1.31, 95% CI [1.06; 1.63]), and theta central (g = 0.58, 95% CI [0.46; 0.72]). Interestingly, these effects became non-significant when comparing with the active interventions. In both populations, the enhancement of alpha oscillations in fronto-central regions emerged as the primary neural biomarker of the placebo effect. Furthermore, increase in beta and theta bands within the same brain regions were also noted as potential biomarkers, particularly in non-healthy subjects. Intriguingly, these effects were reversed when compared to active rehabilitation interventions, suggesting that active rehabilitation techniques also encompass the placebo effect. Our novel results show that placebo neural effects depend on the brain oscillatory baseline (healthy vs. patient populations), and they seem to unmask a more homeostatic salutogenic rhythm, such as alpha oscillations in healthy subjects and theta and beta oscillations in patient populations.
Lactose-assimilating yeasts with high fatty acid accumulation uncovered by untargeted bioprospecting
Authors: Persson Karl , Onyema Vanessa , Nwafor Ijeoma , Peri Kameshwara V.R. , Otti Chika , Nnaemeka Priscilla , Onyishi Chioma , Okoye Sylvia , Moneke Anene , Amadi Onyetugo , Warringer Jonas , Geijer Cecilia
Published: July 2024

Bioprospecting can uncover new yeast strains and species with valuable biotechnological and industrial traits, such as the capacity to convert different carbon sources in industrial side- and waste streams into bioproducts. In this study, we conducted untargeted bioprospecting in tropical West Africa, collecting 1996 isolates and determining their growth in 70 different environments. While the collection contains numerous isolates with the potential to assimilate several cost-effective and sustainable carbon and nitrogen sources, we focused on characterizing strains capable of growing on lactose, the main carbon source in the abundant side stream cheese whey from dairy industries. Our screening identified 30 different species capable of growing on lactose in both synthetic complete yeast medium and whey, with 20 of these also capable of growth in lactose-containing minimal medium. The lactose-assimilating yeast collection contains both ascomycetes and basidiomycetes, and includes species known to be lactose-assimilating, species not previously known to grow on lactose, and candidates for new species. Observed differences in growth profiles and ratios of intra- and extracellular lactase activities suggest that the yeasts use a range of different strategies to metabolize lactose. Notably, several basidiomycetes, including Apiotrichum mycotoxinivorans, Papiliotrema laurentii and Moesziomyces antarcticus, which accumulated up to 40% of their cell dry weight, proving that they can convert lactose into a bioproduct of significant biotechnology interest. Our findings highlight the value of bioprospecting of underexplored regions to discover yeast strains with substantial biotechnological potential, which may aid the transition to a circular bioeconomy.
Which inflammatory markers should we assess following Knee replacement? : A comparative study of unilateral and bilateral robotic TKR.
Authors: Tiwari Anjali , Deshmukh Shobit , Yadav Amit Kumar , Vyas Parth , Bashyal Ravi , Bagaria Vaibhav
Published: July 2024

The presence of inflammatory markers may be a valuable indicator of postoperative healing and unforeseen complications following knee replacement surgery. They may also be a surrogate marker to compare and evaluate the impact of a particular surgical techniques and use of technology for performing a surgical procedure. The present study examined five common inflammatory markers [IL-6, CRP, LDH, AST and ESR] in patients who underwent robotic knee replacement surgery using surgeon controlled hand held CORI robotic system. Baseline venous blood samples were collected 12 hours before and after surgery and every 24 hours postop until discharge. A total of 48 participants were included in the study. Study participants were divided into two groups. In group I, 13 patients underwent bilateral total knee replacements (TKR); in group II, 35 underwent unilateral TKR. IL-6 increased significantly by 229.69 pg/ml at 12hrs in the bilateral group, and 115.51 post 24hr in the unilateral group (average IL-6 value <5 pg/ml). Peak CRP levels were observed 60 hours postop in the bilateral group at 34.87 and 16.71 in the unilateral group (standard CRP value < 0.6 mg/dL). It was found that ESR levels differed significantly both preoperatively and postoperatively (standard ESR value 15 to 20mm hour). Peak ESR levels were observed at 60hrs in both groups, 89mm/hr in the bilateral group and 46 mm/hr in the unilateral group. Peak LDH levels were observed 48 hours postop in both groups, 245.67 U/L in the bilateral and 244.15 U/L in the unilateral group (standard LDH value 140 to 280 U/L). AST level peak was observed at 48 hrs, 32.74 U/L in bilateral and 32 U/L in unilateral group (standard AST value 8 to 33 U/L). This is the first study to comprehensively evaluate and compare five expected inflammatory marker levels in patients who underwent robotic-assisted bilateral and unilateral TKR. This study found that IL-6 and CRP levels were statistically significantly higher in the bilateral knee replacement group than in the unilateral knee replacement group and may be the most relevant markers to monitor in the postoperative period.
The Identification of Guessing Patterns in Progress Testing as a Machine Learning Classification Problem
Authors: Atanet Iván Roselló , Sehy Victoria , Sieg Miriam , März Maren
Published: July 2024

Background
The detection of guessing patterns in low-stakes progress testing could naturally be understood as a statistical classification problem where test takers are assigned to groups according to probabilities given by a machine learning model. However, the relevant literature on this topic does not include many examples where this approach is discussed; to date, the strategies applied to tackle this problem have been mostly based either on rapid response counting or the detection of unusual answer patterns.
Methods
On the basis of 14,897 participations in the Progress Test Medizin test – which takes place twice a year since 1999 in selected medical schools of Germany, Austria and Switzerland - we formulate the identification of guessing patterns as a binary classification problem. Next, we compare the performance of a logistic regression algorithm in this setup to that of the nonparametric person-fit indices included in R´s PerFit package. Finally, we determine probability thresholds based on the values of the logistic regression functions obtained from the algorithm.
Results
Comparison of logistic regression algorithm with person-fit indices
The logistic regression algorithm included in Python´s Scikit-Learn reached ROC-AUC scores of 0.886 to 0.903 depending on the dataset, while the 11 person-fit indices analysed returned ROC-AUC scores of 0.548 to 0.761.
Best feature set
Datasets based on aggregate scores yielded better results than those were the sets of answers to every item were considered as individual features. The best results were reached with a feature set containing only two parameters (self-monitoring accuracy and number of answered questions); considering the amount of time spent on the test did not lead to any performance improvement.
Probability thresholds
Based on the values of the logistic regression function generated by the applied algorithm, it is possible to establish thresholds above which there is at least a 90% chance of having guessed most answers.
Conclusions
In our setting, logistic regression clearly outperformed nonparametric person-fit indices in the task of identifying guessing patterns. We attribute this result to the greater flexibility of machine learning methods, which makes them more adaptable to diverse test environments than person-fit indices.
Dejavu Forensic: Using Support Vector Machine to Improve Recovery Results for Formatted Data in JPEG and PNG Extensions
Authors: Bezerra Islan Amorim , de Lima Sidney Marlon Lopes , Silva Rubens Karman Paula da
Published: July 2024

Background: In line with technological advances, virtual crimes have a greater tendency to occur. The most routine situations are: cyberbullying and illicit sharing, but cases of invasion of privacy, dissemination of defamatory emails and child pornography also occur. When digital equipment is stolen, lost or disposed of, data is still stored on disks. This factor enables the recovery of this file.
Objective: The main focus of this article is the recovery of formatted files. The applicability of Foremost, Scalpel and Magic Rescue tools in the Linux environment is investigated. In addition, an authorial tool, equipped with machine learning, is used. The general objective of this research is to develop a recovery and validation tool for formatted files. The project aims to contribute to investigations of digital and cyber crimes. In addition to demonstrating knowledge, it brings new perceptions of analysis with regard to recovery methods for formatted files.
Methods: Using the pattern recognition methodology, the cluster is used as input, which, through the histogram, acts as an input neuron of the learning machine. This work applies machine learning aiming at recognizing the pattern of the blocks/clusters. In the first scenario, here named “simple”, the classification is binary. There is only class vs. counterclass. This methodology was developed by Pavel (2017) and replicated in the aforementioned simple scenario. In a second scenario, named “complex”, the one-against-all method was used, whose database contains 16,000 files.
Results: This research presents a cutting-edge approach that synergizes machine learning and data science to recover formatted data. Our innovative tool boasts a remarkable recovery rate of over 96% for formatted PNG and JPEG files, running in just a few seconds. This breakthrough holds significant promise for improving digital forensic investigations.
Conclusions: The experiences declared in the proposed work leave contributions for the advancement in studies about data recovery. Its relevance concerns the proposal to assist in the elucidation of digital crimes that surround the society of digital natives. The authorial system becomes a locus of how technology can serve human rights and improve the quality of life in contemporary society.
Low Titre of Agroinoculum with Prolonged Incubation Period and Low Auxin Concentration in the Regeneration Media are the Key to High Frequency of Transformation in Climate Resilient Aus type Rice Genotype Nagina 22
Authors: Kumar Amit , Priyanka  , K. Jeevanandhan , Kaushik Megha , Mulani Ekta , S. Meena , Roy Jeet , Phogat Sachin , Sareen Bhuvnesh , Madhavan Jayanthi , Sevanthi Amitha Mithra , Solanke Amolkumar U. , Kumar Prabhanshu , Mandal Pranab Kumar
Published: July 2024

Developing a highly efficient and reproducible plant regeneration protocol holds paramount significance in advancing technology for the genetic transformation of rice genotypes, facilitating their further utilization in crop improvement and breeding programs. Nagina 22 (N22), an aus type rice genotype, has tolerance against multiple stresses, requires very efficient transformation and regeneration protocol, for developing improved lines. However, a standardized regeneration protocol for this elite genotype has not been reported so far, limiting the use of this genotype as a background for genetic transformation. In the present study, for the first time, we are reporting a highly efficient transformation and regeneration protocol for the climate resilient N22. Mature seeds were used as explants for callus induction with varying concentrations (1-4 mg/L) of 2,4-dichlorophenoxyacetic acid (2.4-D), among which 3 mg/L of 2,4-D resulted in an impressive ~94% callus induction efficiency. Following this, the regeneration and resuspension media optimization is also carried out. Subsequent steps involved culturing embryogenic calli on media with different concentrations (2-6 mg/L) of 6-benzylaminopurine (BAP), in combination with 0.02 mg/L naphthalene acetic acid (NAA), to optimize the regeneration protocol. Media consisting of 5 mg/L BAP and 0.02 mg/L NAA exhibited a regeneration frequency of ~92% for the plantlets derived through non-transformed callus. Furthermore, our study revealed that reducing the salt concentration in the resuspension media resulted a notable enhancement in transformation efficiency of 44%. This in-vitro regeneration protocol provides valuable insights for future research and practical applications in genetic transformation of this elite rice genotype for various purposes.
Çok Kriterli Karar Verme Yöntemleri ile Biyogaz Enerji Santrali Kuruluş Yeri Seçimi: Ankara İli Polatlı İlçesi İçin Bir Örnek
Authors: Ercan Zeynep , Pınarbaşı Mehmet
Published: July 2024

Sanayileşme, gelişen toplum, artan gereksinimler, hızla gelişen teknoloji ve üretimin artması gibi sebeplerden kaynaklı enerji ihtiyacı da artmaktadır. Artan enerji ihtiyacı beraberinde enerji kullanımını da artırmış ve bu durum atıkların artmasına sebep olmuştur. Oluşan bu atıklar arasında hayvan atıkları miktarı önemli bir yere sahiptir. Hayvan atıklarının enerjiye dönüştürülmesi için ortaya çıkan ürüne biyogaz denilmektedir. Biyogaz enerji santrallerinde hayvan atıkları işlenerek enerji elde edilmektedir. Daha verimli enerji üretimi için biyogaz enerji santralinin uygun bir yere kurulması önem arz etmektedir. Bu çalışmada Ankara ili Polatlı ilçesinde bir biyogaz enerji santrali kurulumu üzerinde durulmuştur. Yapılan çalışmada enerji santrali yeri seçimi için çok kriterli karar verme (ÇKKV) yöntemleri kullanılmıştır. Santral kurulumuna etki eden faktörler için bir kriter seti önerilmiştir. Kriterlerin ağırlıklandırılması için Analitik Hiyerarşi Prosesi (AHP) ve alternatif santral yerlerinin sıralanması için Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) yöntemlerinden faydalanılmıştır. Yapılan analizler yerleşim yerine uzaklık kriterinin en önemli kriter olduğunu göstermiştir. Bunun yanı sıra gerçekleştirilen analiz soncunda Sakarya bölgesinde bir biyogaz enerji santralinin kurulmasının en uygun alternatif olacağı tespit edilmiştir.
15 Mart 2023'te Şanlıurfa’da Meydana Gelen Sel ve Taşkının Oluşumunda Etkili Olan Coğrafi Faktörlerin Değerlendirilmesi
Authors: İrcan Mustafa Recep , Duman Neşe
Published: July 2024

Sel ve taşkınlar dünya üzerinde sıklıkla meydana gelen ve tahrip gücü yüksek doğal afetler arasında yer almaktadır. Bu çalışma, 15 Mart 2023'te Şanlıurfa’da meydana gelen ve 16 kişinin hayatını kaybettiği sel ve taşkının oluşumunda etkili olan coğrafi faktörlerin değerlendirilmesi amacıyla hazırlanmıştır. Bu amaçla hazırlanan çalışmada ArcGIS for Desktop 10.5 yazılımı kullanılarak araştırma sahasının sınırı hidroloji analizi ile belirlenmiştir. Bu analiz ile belirlenen akarsu havzalarının (Karakoyun, Cavsak ve Karaköprü-Sırrın Dereleri) litoloji, eğim ve yağış haritaları üretilmiştir. Coğrafi değerlendirme kapsamında fiziki (litolojik, jeomorfolojik, klimatolojik) ve beşerî faktörler tek tek ele alınıp ayrı başlıklar altında incelenmiştir. Fiziki faktörler kapsamında sahanın litolojik, jeomorfolojik ve klimatik özellikleri incelenmiştir. Beşerî faktörler kapsamında ise havzadaki dere yataklarının sel ve taşkın üretmedeki etkileri yapılan arazi çalışmaları ile fotoğraflanarak değerlendirilmiştir. Sonuçlara göre araştırma sahasında kuzeyden güneye doğru yükseltinin ve eğimin azaldığı bir topoğrafya görülmektedir. Sahadaki toprağın kışın suya doyması ve dere yatağına yapılan yanlış müdahaleler 15 Mart 2023 tarihinde gelişen sağanak yağışla (Toplamda bir günde 119 mm) beraber suyun büyük bir bölümünün yüzeysel akışa geçerek dere yataklarından taşmasına ve sahadaki eğim boyunca sel olayının afete dönüşerek can ve mal kayıplarının yaşanmasına neden olduğu tespit edilmiştir.
Non-invertible symmetries and higher representation theory I
Authors: Bartsch Thomas , Bullimore Mathew , Ferrari Andrea E. V. , Pearson Jamie
Published: July 2024

The purpose of this paper is to investigate the global categorical symmetries that arise when gauging finite higher groups in three or more dimensions. The motivation is to provide a common perspective on constructions of non-invertible global symmetries in higher dimensions and a precise description of the associated symmetry categories. This paper focusses on gauging finite groups and split 2-groups in three dimensions. In addition to topological Wilson lines, we show that this generates a rich spectrum of topological surface defects labelled by 2-representations and explain their connection to condensation defects for Wilson lines. We derive various properties of the topological defects and show that the associated symmetry category is the fusion 2-category of 2-representations. This allows us to determine the full symmetry categories of certain gauge theories with disconnected gauge groups. A subsequent paper will examine gauging more general higher groups in higher dimensions.
Vortex loop operators and quantum M2-branes
Authors: Drukker Nadav , Shahpo Omar
Published: July 2024

We study M2-branes in AdS_4× S^7/\mathbb{Z}_kAdS4×S7/ℤk dual to 1/2 and 1/3 BPS vortex loop operators in ABJM theory and compute their one-loop correction beyond the classical M2-brane action. The correction depends only on the parity of kk and is independent of all continuous parameters in the definition of the vortex loops. The result for odd kk agrees with the answers for the 1/2 BPS Wilson loop in the k=1k=1 theory and for even kk with the one in the k = 2k=2 theory. Combining with the classical part, we find that the natural expansion parameter seems to be 1/\sqrt{kN}1/kN rather than 1/\sqrt{N}1/N. This provides a further setting where semiclassical quantisation can be applied to M2-branes and produces new results inaccessible by other methods.
The effect of social media marketing activities dimensions on value co-creation behavior: An application of the commitment-trust theory
Authors: Thi Huyen Nguyen , Minh Ngoc Nguyen , Anh Thao Cao
Published: July 2024

Previous studies have not paid much attention to the effect of social media marketing activities on value co-creation behavior. Especially, up to now, no one has studied the effects of social media marketing activities dimensions on value co-creation behavior. This study applies the commitment-trust theory to develop and estimate this relationship through brand trust and brand commitment on social media in Vietnam. The snowball sampling technique was applied to gather 504 social media users through social media platforms in Vietnam. The proposed research model was tested through PLS-SEM using SmartPLS 4. The results highlighted that most social media marketing activities dimensions (including trendiness, electronic word of mouth, interaction, and customization) affect brand trust (pc are 0.42, 0.152, 0.112, 0.097, respectively, and p-values are all less than 0.05). Simultaneously, brand trust was found to have a positive effect on brand commitment (pc =0.405, p = 0.000). Furthermore, calculation results revealed that brand commitment contributed significantly and strongly to their co-value behavior towards brands (pc = 0.531, p = 0.000). On the contrary, the data do not support a direct impact of entertainment on brand trust (pc = 0.001, p = 0.990) and brand trust on co-value behavior (pc = 0.025, p = 0.466) at a significance level of less than 5%. Ultimately, the findings also suggest a guide to social media marketers to drive customer value co-creation behavior for brands.
AcknowledgmentThis work was supported by the National Foundation for Science & Technology Development of Vietnam under Decision No. 131/QD-HDQL-NAFOSTED dated September 21, 2020.
Enhancing water efficiency programming in the City of Calgary
Authors: Jordan Rennie , Anderson Michelle , Saini Nisha , Pina Pablo
Published: July 2024

This paper presents the steps undertaken in a two-phase study to enhance the City of Calgary's (the City) water efficiency programming for indoor and outdoor industrial, commercial, and institutional (ICI) customers and outdoor residential customers. Study objectives included evaluating programs in other urban jurisdictions for suitability to Calgary, and developing short-, medium-, and long-term recommendations for water efficiency programming for the City. Phase I of the study included a literature review of Calgary's water consumption trends and explored over 150 water efficiency programs implemented across jurisdictions in North America, identifying a subset of 33 programs for further evaluation. Phase II evaluated program options through an integrated assessment, including gap, Strengths, Weaknesses, Opportunities, and Threats, and cost-benefit analysis. An implementation strategy was developed for seven water efficiency programs, grouped into complementary bundles of indoor and outdoor ICI and residential landscape transformation programs. The study also identified areas for further research, and key supporting elements or success factors for water efficiency programming in the City. This paper adds value to the discussion on approaches to select suitable indoor and outdoor ICI and outdoor residential water efficiency programs, and aids in informing the City's current and future strategic water planning and programs.
Nano-silica modified with silane and fluorinated chemicals to prepare a superhydrophobic coating for enhancing self-cleaning performance
Authors: Zeng Guisheng , Gong Baichuan , Li Yingpeng , Wang Kun , Guan Qian
Published: July 2024

Superhydrophobic coatings with excellent self-cleaning performance have attracted significant concerns from researchers. Although various superhydrophobic coatings with prominent superhydrophobic properties have been fabricated, most developed coatings are still inadequate in pipeline scale inhibition applications. In this work, nano-silica (nano-SiO2) was modified by silane coupling of vinyltriethoxysilane (VETS) and 1H, 1H, 2H, 2H-perfluorooctyltriethoxysilane (PFTS) to prepare a superhydrophobic coating. Organosilicon of PFTS and VETS was grafted onto the surface of SiO2 for preparing the superhydrophobic coating with low surface energy, and the superhydrophobic coating was cured via poly(vinylidene fluoride) (PVDF). The results showed that the contact angle of the prepared silica-based superhydrophobic coating, denoted as VETS-PFTS@SiO2/PVDF, is 159.2°, exhibiting outstanding superhydrophobicity performance. Furthermore, the superhydrophobicity coating also showed satisfactory durability performance in 200 g load wear test after 50 cycles. Importantly, the superhydrophobic coating displayed promising mechanical durability, chemical stability performance, as well as maintained excellent superhydrophobic properties after being placed in water for 3 weeks, indicating the potential for long-term utilization. In the simulated scale inhibition test, it was found that the synthesized coating can also significantly decrease the deposition rate of CaCO3 and successfully enhance its scale inhibition performance.
New understanding of the main active substances and the promotion mechanism in the degradation of phenol by Fe–C micro-electrolysis systems
Authors: Zou Yulong , Zhao Haiqian , Zhang Xiaolong , Wang Zhonghua , Yang Xue , Zhang Xing
Published: July 2024

The mechanism of phenol degradation by micro-electrolytic systems can be fully understood by evaluating the oxidation of active substances from the two aspects of phenol bond-breaking and mineralization, and the direction of promoting the generation of active substances is pointed out. In this article, the effects of H2O2, O2-•, ·OH and 1O2 in the degradation of phenol were analyzed using phenol and chemical oxygen demand (COD) removal rates as judgment indicators, respectively. And the addition of C6O8H6 to the micro-electrolysis system was adopted to promote the generation of active substances. The experimental results showed that the active substances which played a dominant effect in the process of phenol bond-breaking and mineralization were changed. While 1O2 is dominant in the bond-breaking of phenol, •OH is dominant in the mineralization of phenol. After adding C6O8H6 (1 mmol/L), the removal rates of phenol and COD were increased by 7.35 and 4.85%, respectively. This was attributed to the autoxidation reaction of C6O8H6 and the continuous supply of H+ while reducing Fe3+ to Fe2+. Additionally, the C6O8H6 regulated the reaction pathway to improve the utilization of H2O2. This study provides a new perspective for the understanding of active substances in micro-electrolysis systems.
Comunidade de abelhas (Hymenoptera, Apidae) e plantas associadas em área de mata atlântica em São Francisco do Sul, Santa Catarina, Brasil
Authors: Denise Monique Dubet da Silva Mouga  , Paulo Nogueira-Neto  , Manuel Warkentin  , Vanessa Ferett  , Enderlei Dec
Published: July 2024

A comunidade de abelhas nativas em uma área de mata atlântica no sul do Brasil foi estudada no período 2001-2003, utilizando-se rede entomológica em plantas floridas. Foram amostrados 1.519 indivíduos de 80 espécies e 4 subfamílias de abelhas. Houve predomínio de espécies de Apinae não corbiculadas e Halictinae e de indivíduos de Apinae corbiculados e Halictinae. As plantas associadas totalizaram 124 espécies de 46 famílias, das quais as mais visitadas foram Asteraceae, Fabaceae, Lamiaceae e Melastomataceae. Foram amostradas 11 espécies de abelhas não assinaladas para Santa Catarina. As abelhas mais amostradas foram Apis mellifera, Trigona spinipes, Bombus morio, Dialictus sp., Augochloropsis sp. 07, Trigona braueri, Augochlora (Oxystoglossella) sp. 05 e Tetragonisca angustula. A quantidade de indivíduos amostrados por mês, ao longo do período de coleta, evidencia um padrão bivoltino (maio e setembro-novembro). Algumas espécies de plantas foram visitadas apenas por Apis mellifera. Os índices de diversidade e equabilidade ficaram em 2,315 e 0,528, respectivamente. A curva de acumulação mostrouse crescente. Os estimadores de riqueza apontam mais espécies. A riqueza e a abundância evidenciam um padrão de atividade de clima temperado. A composição da apifauna demonstrou A composição da apifauna demonstrou maior similaridade com formação de floresta ombrófila densa de terras baixas.
Samambaias da Província Petrolífera de Urucu, Coari, Amazonas, Brasil: Cyatheaceae, Gleicheniaceae, Lygodiaceae, Schizaeaceae, Marattiaceae e Metaxyaceae
Authors: Adeilza Felipe Sampaio  , Maria Goreti Coelho de Souza  , Marcio Roberto Pietrobom
Published: July 2024

Visando ampliar o conhecimento sobre as espécies de samambaias do estado do Amazonas, foi realizado o inventário florístico das samambaias e licófitas da Província Petrolífera de Urucu. A área de estudo está inserida na Amazônia Central brasileira, no município de Coari (AM), a aproximadamente 630 km a sudoeste de Manaus, na Base Operacional Geólogo Pedro de Moura (BOGPM), com superfície de 120 km² e cobertura de floresta ombrófila densa de terra firme e floresta de várzea. As coletas de material botânico foram feitas em março de 2007, janeiro, fevereiro e março de 2008 e agosto de 2009. Para a identificação do material botânico utilizou-se bibliografia especializada. Foram registradas seis famílias, seis gêneros e 14 espécies, para as quais são apresentadas anotações, diagnoses, distribuição geográfica, bem como chave de identificação para as espécies, sendo ilustradas aquelas menos comuns na Região Norte.
Utilização de bases cartográficas para identificação e caracterização de áreas verdes públicas no município de Joinville, Santa Catarina
Authors: Eliane da Graça Silva  , Felipe Romer Batista  , Gerson Bachtold  , Ricardo Alexandre Messias-Oliveira  , Karin Esemann-Quadros
Published: July 2024

No perímetro urbano do município de Joinville existem diversas áreas verdes com diferentes graus de degradação, não ocupadas por equipamentos públicos. Baseando-se em análise de arquivos vetoriais com o uso dos softwares ArcGIS e gvSIG, imagem aérea raster de 2010 e dados do Sistema de Informações Municipais Georreferenciadas (Simgeo), cruzaram-se informações referentes ao uso do solo, da vegetação, da declividade, da hidrografia, de lotes públicos com mais de um hectare, estimando-se a quantidade, área, localização e existência ou não de vegetação. Um total de 307 lotes públicos foi amostrado dentro do perímetro urbano, somando uma área total de 6.365.790,742 m2 . Destes, 52% apresentam algum tipo de vegetação e 48% são ocupados por equipamentos públicos ou estão potencialmente degradados. A maioria localiza-se no Distrito Industrial ou na periferia do perímetro urbano. Um mapa foi construído, com a localização dos lotes. Essas informações podem servir de base para a recuperação dos passivos ambientais localizados em áreas públicas no perímetro urbano de Joinville e evidenciam a necessidade de um diagnóstico mais detalhado para determinar seu estado de conservação. As áreas verdes são de fundamental importância para a saúde e a qualidade de vida da população, merecendo a devida atenção do poder público.
Different sampling intervals for bowl trapping survey of Aculeata (Hymenoptera) in a semidecidual seasonal forest fragment
Authors: Cleiton Margatto  , Rodrigo Barbosa Gonçalves
Published: July 2024

Coloured bowl trapping is a passive sampling method which catches insects through a combination of interception and attraction. The method is commonly used for Aculeata, especially bees. The objective of the present study is to determine a reliable sampling interval for aculeates using bowl traps since an appropriate sampling interval is important to enable the collection of representative samples in Neotropics. For this purpose we installed eight bowl traps in a forest fragment in Southern Brazil, during one year, to compare the sampled diversity in twice and once-a-month sampling interval. We confirmed the general expectation that increasing the sample size results in a proportional greater sampling of the community. Different sampling intervals have a weak impact in rarefaction curves, as these do not reach the asymptote in any cases, and Shannon diversity index was considered statistically equal. Under our results, the twice-a-month interval was considered better than monthly sampling intervals only when we compare the extrapolation data (estimators and extrapolation curve) for Aculeata. The Shannon diversity index and the estimated species number (rarefaction) were considered the same among the treatments, so we cannot suggest a reliable sampling interval from these data.
Canopy cover and invasive grasses effects in distinct ecological restoration technologies: 5-y monitoring in a Brazilian subtropical forest
Authors: Dionatan Gerber  , Tatiene Yumi Kiwara  , Patricia Ramos de Souza  , Marcos Lubke  , Edgar de Souza Vismara  , Fernando Campanhã Bechara
Published: July 2024

The establishment of canopy and the following elimination of invasive exotic grasses are among the main barriers towards the restoration of subtropical forests. We compared canopy initial cover and biological invasion by exotic grasses in different restoration technologies, up to 5-y, in Paraná State, southern Brazil. We tested three treatments in four randomized blocks as follows: T1 – passive restoration; T2 – nucleation; and T3 – high diversity plantation. We sampled 117 points per plot (54 x 40 m). We registered the presence or absence of invasive grasses cover and canopy cover percentage (using a spherical crown densiometer). The high density of fast-growing trees plus dense crowns was probably responsible for the highest shadowing and faster elimination of grasses in the plantation, while nucleation and the passive restoration showed the lowest canopy cover followed by the highest invasion by grasses. We recommend managers to use plantations to make a fast covering, although with higher inputs, or use nucleation in a long-term shadowing basis project.
influence of perceived safety culture and safety knowledge on safety performance mediated by safety motivation
Authors: Karina Alda , Ariffin Zakhyadi
Published: July 2024

Perceived safety culture and safety knowledge are the two independent variables in this study. Safety performance is the dependent variable, and safety motivation is the mediating variable at PT. Central Kalimantan Distribution Main Unit of PLN (Persero). This research method uses a questionnaire with 101 employees of fieldwork partners at PT. PLN (Persero) Central Kalimantan Main Distribution Unit is the sample and has been selected from the population. Variable estimations utilize the LC procedure with a weight scale from 1 to 5. Utilize the partial least squares method to determine the correlation between variables X1, X2, Y, and Z. The consequences of the examination express that (1) PSC meaningfully affects SP, (2) SK affects SP, (3) SM affects SP, (4) PSC affects SM, (5) SK significantly affects SM, (6) PSC affects SP with SM Intercession and (7) SK affects SP with SM Intervention.