bluuebunny/crossref_metadata_2025 huggingface dataset:
Generalized Adaptive Diversity Gradient Descent Bit-Flipping with a Finite State Machine
Authors: Milojković Jovan , Brkić Srdjan , Ivaniš Predrag , Vasić Bane
Published: January 2025

In this paper, we introduce a novel gradient descent bit-flipping algorithm with a finite state machine (GDBF-wSM) for iterative decoding of low-density parity-check (LDPC) codes. The algorithm utilizes a finite state machine to update variable node potentials—for each variable node, the corresponding finite state machine adjusts the update value based on whether the node was a candidate for flipping in previous iterations. We also present a learnable framework that can optimize decoder parameters using a database of uncorrectable error patterns. The performance of the proposed algorithm is illustrated for various regular LDPC codes, both in a binary symmetric channel (BSC) and the channel with additive white Gaussian noise (AWGN). The numerical results indicate a performance improvement when comparing our algorithm to previously proposed GDBF-based approaches.
Assessing Climate Change Impact on Rainfall Patterns in Northeastern India and Its Consequences on Water Resources and Rainfed Agriculture
Authors: Chakraborty Debasish , Roy Aniruddha , Singh Nongmaithem Uttam , Saha Saurav , Das Shaon Kumar , Mridha Nilimesh , Yumnam Anjoo , Paul Pampi , Gowda Chikkathimme , Biam Kamni Paia , Patra Sandip , Amrutha Thippeswamy , Singh Braj Pal , Mishra Vinay Kumar
Published: January 2025

To understand the impact of climate change on water resources, this research investigates long-term rainfall trends and anomalies across Northeastern India (NEI), covering Assam and Meghalaya (A&M); Nagaland, Manipur, Mizoram, and Tripura (NMMT); and Sub-Himalayan West Bengal and Sikkim (SHWB&S) using different statistical tests including innovative trend analysis (ITA). The study scrutinizes 146 years of rainfall statistics, trend analyses, variability, and probability distribution changes to comprehend its implications. Furthermore, the change in the assured rainfall probabilities was also worked out to understand the impact on rainfed agriculture of Northeastern India. Comparative analysis between all India (AI) and NEI reveals that NEI receives nearly double the annual rainfall compared to AI (2051 mm and 1086 mm, respectively). Despite resembling broad rainfall patterns, NEI displays intra-regional variations, underscoring the necessity for region-specific adaptation strategies. Statistical characteristics like the coefficient of skewness (CS) and coefficient of kurtosis indicate skewed rainfall distributions, notably during the winter seasons in NMMT (CS~1.6) and SHWB&S (CS~1.5). Trend analyses reveal declining rainfall trends, especially conspicuous in NEI’s winter (−1.88) and monsoon (−2.9) seasons, where the rate of decrease was higher in the last three decades. The return periods of assured rainfall at 50% and 75% probability levels also increased sharply during the winter and monsoon seasons by over 30% during the recent half, posing challenges for rainfed upland hill farming. Furthermore, this study highlights increasing variability and negative anomalies in monsoon rainfall over NEI, exacerbating decreasing rainfall trends and significantly impacting agricultural productivity. These findings underscore the urgency for adaptive measures tailored to evolving rainfall patterns, ensuring sustainable agricultural practices and efficient water resource management.
A Reflective Account of Facilitating Teachers’ Professional Learning in Two Different Lesson Study Settings
Authors: Erbilgin Evrim , Robinson Jennifer M.
Published: January 2025

Lesson study is a school-based, collaborative professional learning model that typically involves teachers and a facilitator as key participants. It is important to develop insights into the role of the facilitators, as they have a supportive and crucial role in the lesson study process. This study examines the challenges and successes perceived by a facilitator when supporting lesson study in two different contexts in Abu Dhabi. A qualitative research design was employed for an in-depth focus on the journey of the facilitator in the lesson study process. Four teachers from a public school and three teachers from a private school completed lesson study following the collaborative lesson research model. The same facilitator worked with both groups. Data were collected through reflection journal entries written by the facilitator. Thematic analysis was utilized to make sense of the data, develop codes, and identify the following five themes: school leadership support, facilitator’s experience in lesson study, facilitator’s role in the lesson study process, teachers’ ownership of lesson study, and lesson study contributing to teachers’ knowledge and practice. Implications of the findings are discussed in the paper.
Fast Resource Estimation of FPGA-Based MLP Accelerators for TinyML Applications
Authors: Kokkinis Argyris , Siozios Kostas
Published: January 2025

Tiny machine learning (TinyML) demands the development of edge solutions that are both low-latency and power-efficient. To achieve these on System-on-Chip (SoC) FPGAs, co-design methodologies, such as hls4ml, have emerged aiming to speed up the design process. In this context, fast estimation of FPGA’s utilized resources is needed to rapidly assess the feasibility of a design. In this paper, we propose a resource estimator for fully customized (bespoke) multilayer perceptrons (MLPs) designed through the hls4ml workflow. Through the analysis of bespoke MLPs synthesized using Xilinx High-Level Synthesis (HLS) tools, we developed resource estimation models for the dense layers’ arithmetic modules and registers. These models consider the unique characteristics inherent to the bespoke nature of the MLPs. Our estimator was evaluated on six different architectures for synthetic and real benchmarks, which were designed using Xilinx Vitis HLS 2022.1 targeting the ZYNQ-7000 FPGAs. Our experimental analysis demonstrates that our estimator can accurately predict the required resources in terms of the utilized Look-Up Tables (LUTs), Flip-Flops (FFs), and Digital Signal Processing (DSP) units in less than 147 ms of single-threaded execution.
Methods and Approaches for User Engagement and User Experience Analysis Based on Electroencephalography Recordings: A Systematic Review
Authors: Bellos Christos , Stefanou Konstantinos , Tzallas Alexandros , Stergios Georgios , Tsipouras Markos
Published: January 2025

This review paper explores the intersection of user engagement and user experience studies with electroencephalography (EEG) analysis by investigating the existing literature in this field. User engagement describes the immediate, session-based experience of using interactive products and is commonly used as a metric to assess the success of games, online platforms, applications, and websites, while user experience encompasses the broader and longer-term aspects of user interaction. This review focuses on the use of EEG as a precise and objective method to gain insights into user engagement. EEG recordings capture brain activity as waves, which can be categorized into different frequency bands. By analyzing patterns of brain activity associated with attention, emotion, mental workload, and user experience, EEG provides valuable insights into user engagement. The review follows the PRISMA statement. The search process involved an extensive exploration of multiple databases, resulting in the identification of 74 relevant studies. The review encompasses the entire information flow of the experiments, including data acquisition, pre-processing analysis, feature extraction, and analysis. By examining the current literature, this review provides a comprehensive overview of various algorithms and processes utilized in EEG-based systems for studying user engagement and identifies potential directions for future research endeavors.
Variable Bandwidth Double-Coupled Double-Tuned Filter with Capacitive Couplings
Authors: Wójcik Dariusz , Surma Maciej , Magnuski Mirosław
Published: January 2025

In this paper, an adjustable bandwidth high IP3 (third-order intercept point) sub-octave double-coupled double-tuned filter is presented. The proposed filter consists of two capacitively coupled resonators. Its center frequency and bandwidth are tuned by the varactors with two voltages. The filter characteristics are shaped by two transmission zeros located in its lower and upper transition bands. The frequency of the lower transmission zero is tuned simultaneously with the center frequency, and the upper transmission zero frequency is independently controlled. The achieved center frequency tuning range is from 300 MHz to 446 MHz, and the bandwidth swing is from 35 MHz to 75 MHz. In the whole operating band, the IP3 of the filter varies from 22 dBm to 29 dBm, and the insertion loss is from 1.4 dB to 3.3 dB. The filter has been full-wave analyzed and optimized. The electric size of 0.05 × 0.058 λg2 makes the proposed filter the smallest among the filters compared. The obtained measurement results are in very good agreement with the simulations.
KG-PLPPM: A Knowledge Graph-Based Personal Learning Path Planning Method Used in Online Learning
Authors: Hou Bo , Lin Yishuai , Li Yuechen , Fang Chen , Li Chuang , Wang Xiaoying
Published: January 2025

In the realm of online learning, where resources are abundant, it is essential to customize recommendations and plans to meet individual learning needs. This involves not only identifying and addressing areas of weakness but also aligning the learning journey with each learner’s cognitive preferences. However, existing methods for suggesting and structuring learning paths have notable limitations. To address these challenges, this paper introduces a knowledge graph-based personalized learning path planning method (KG-PLPPM). By leveraging a knowledge graph and refining cognitive diagnosis models, the proposed method tailors learning paths to individual needs. It evaluates knowledge concept similarity and learner mastery, and employs an algorithm for path planning. In the experiments, two metrics—the concept sequence degree and learning efficiency—are used to assess our work. Experimental results demonstrate that the method presented enhances the coherence and relevance of recommended learning paths, and achieves a higher concept sequence degree, indicating that knowledge concepts are arranged in a manner consistent with the learning sequence, which aligns more closely with learners’ cognitive preferences. Moreover, across various learning progresses and path lengths, it effectively addresses weak knowledge areas, significantly enhancing learning efficiency.
Simulation Results of a Thermal Power Dispatch System from a Generic Pressurized Water Reactor in Normal and Abnormal Operating Conditions
Authors: Hancock Stephen , Jurski Dylan , Ulrich Thomas A. , Lew Roger , Kim Jisuk , Gideon Olugbenga
Published: January 2025

Amid economic pressures in the U.S. electricity market, nuclear utilities are exploring new revenue streams, including hydrogen production. A generic pressurized water reactor simulator was modified to incorporate a novel design for a TPD system coupled to a hydrogen production plant. Standard malfunctions were included in the simulation design, including steam line breaks at various system locations and flow interruptions in the hydrogen plant due to multiple faults, reflecting anticipated operational challenges. It is imperative that the TPD system operation has a minimal effect on the reactor power, primary coolant system, and turbine system operation and performance. Due to the specific design and application of this TPD system, with the proposed turbine control system changes, the overall impact on the existing plant systems is low. Normal TPD operating scenarios resulted in minor effects on the existing plant systems: reactor power changes by at most 0.2%, and gross generator output changes by 20.5 MWe from 100 MWt of TPD. The most severe malfunction analyzed in this work is a full TPD steam line break downstream of the extraction location, which results in an increase in reactor power of about 0.5%. The gross generator output decreases by 36 MWe, a total decrease of 60 MWe from the full power steady state (FPSS) condition. These results indicate that an industrial hydrogen production plant could be coupled thermally to a nuclear power plant with limited effects on the existing system operation and safety.
Numerical Simulation of Impingement Heat Transfer for a Laminar Premixed Bunsen Flame
Authors: Slastnaya Darya A. , Tolstoguzov Roman V. , Chikishev Leonid M. , Dulin Vladimir M.
Published: January 2025

Flame impingement heat transfer is implemented in many industrial applications. The laminar premixed Bunsen flame, impinging on a flat cold surface, represents a basic model for the validation of computational fluid dynamics (CFD) codes, used for the simulation of industrial processes. Meanwhile, as the present paper demonstrates, some features of basic flame configurations are not well-reviewed. The present paper reports on the direct numerical simulation of the thermofluidic field in a laminar premixed impinging Bunsen flame in comparison with advanced optical measurements. The results reveal the phenomenon of the central recirculation zone formation between the tip of the Bunsen flame cone and the cold surface. Cooled combustion products concentrate inside this zone, resulting in reduced heat transfer near the flow axis. All three tested chemical kinetic mechanisms (GRI-Mech 3.0, SanDiego, RMech1) provide reasonable predictions of the observed phenomenon, which explain previous experimental observations on the reduced heat transfer at the central axis of impinging flames. Moreover, the most detailed mechanism, GRI-Mech 3.0, predicts an elevated concentration of NOX pollutants caused by the mentioned phenomenon.
Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency
Authors: Orazbayev Batyr , Kuzhuhanova Zhadra , Orazbayeva Kulman , Uskenbayeva Gulzhan , Abdugulova Zhanat , Zhumadillayeva Ainur
Published: January 2025

This work is devoted to the study and solution of the problems of modeling complex objects on the example of the atmospheric block of the primary oil refining unit, associated with the deficit and fuzziness of the necessary initial information. Since many real technological objects of oil refining and other industries are often characterized by a deficit and fuzziness of the necessary information for their study, modeling, and optimization, this work allows solving an urgent scientific and practical problem. An effective method has been proposed that allows, based on a system approach, expert assessment methods, theories of fuzzy sets, and available information of various natures to develop hybrid models of complex objects in conditions of deficiency and fuzzy initial information. Based on the proposed hybrid method and available statistical and fuzzy information, effective hybrid models of atmospheric block columns of the primary oil refining unit were developed. In this case, statistical models were developed based on experimental and statistical data. With crisp input, mode parameters, and fuzzy output parameters, atmospheric block fuzzy models based on the proposed method, determining the quality of the manufactured products, were developed. Moreover, with the fuzzy input, mode, and output parameters of the atmospheric block columns, linguistic models based on the methods of expert assessments, logical rules of conditional inference, and the proposed method, assessing the quality of the produced gasoline, were developed. The linguistic models developed in Fuzzy Logic Toolbox allow for the assessment of the quality of gasoline from the atmospheric block depending on the content of chloride salts and the mass fraction of sulfur in the raw material. The results obtained using the proposed modeling method show their advantages in comparison with known modeling methods.
A Fuzzy Logic Technique for the Environmental Impact Assessment of Marine Renewable Energy Power Plants
Authors: Flores Pamela , Mendoza Edgar
Published: January 2025

The application of fuzzy logic to environmental impact assessment (EIA) provides a robust method to address uncertainties and subjectivities inherent in evaluating complex environmental systems. This is particularly relevant in ocean renewable energy projects, where predicting environmental impacts is challenging due to the dynamic nature of marine environments. We conducted a comprehensive literature review to identify the types of impacts currently being investigated, assessed, and monitored in existing marine energy conversion projects. Based on these foundations, we developed both traditional and fuzzy mythologies for EIA. The fuzzy logic methodology approach allows for the incorporation of uncertainties into the assessment process, converting qualitative assessments into quantifiable data and linguistic levels and enhancing decision-making accuracy. We tested this fuzzy methodology across four types of ocean energy devices: floating, submerged, fixed to the ocean floor, and onshore. Finally, we applied the methodology to the EIA of a marine energy project in the Cozumel Channel, Quintana Roo, Mexico. The results demonstrate that fuzzy logic provides a more flexible and reliable evaluation of environmental impacts, contributing to more effective environmental management and sustainable development in marine renewable energy contexts.
Research on Water Flow Control Strategy for PEM Electrolyzer Considering the Anode Bubble Effect
Authors: An Liheng , Tian Yizhi , Zhao Haikun
Published: January 2025

At higher current densities, the bubble effect in the anode flow field of the PEM electrolyzer (PEM EL) worsens mass transfer losses and energy consumption. This study employs a moderate increase in the water flow rate to remove accumulated bubbles under fluctuating electrical input, thereby improving PEM EL system efficiency. An enhanced PEM EL equivalent circuit model incorporating bubble over-potential based on the oxygen volume fraction is developed. Considering the energy consumption of auxiliary equipment and the reduction in losses from mitigating the bubble effect, a numerical simulation evaluates the impact of flow rate variations on overall electrolysis energy consumption, leading to a comprehensive energy consumption model for the PEM EL system, incorporating electrical, chemical, and thermal energy conversions. The control objective is to maximize system efficiency by optimizing the water flow rate, with a performance-preset-based controller implemented in MATLAB/Simulink. The simulation results show that the controller can accurately track the target flow rate, and the dynamic regulation time improved by 1.5 s compared to the traditional performance constraint function, better matching the rate of change in electrical energy. Under the water flow control mode, hydrogen production increased by 6.6 L within 130 s of the simulation, available energy increased by 8.32 × 106 J, and the efficiency of the PEM EL system improved by 2.79%.
Study on Small-Scale Forest Fire Risk Zoning Based on Random Forest and the Fuzzy Analytic Network Process
Authors: Chen Dai , Zeng Aicong , He Yan , Ouyang Yiyun , Li Chunhui , Tigabu Mulualem , Wang Wenlong , Ni Rongyu , Zhang Jinwen , Guo Futao
Published: January 2025

Forest fire risk mapping is an essential measure for forest fire management. Quickly and precisely assessing forest fire risks, rationally planning fire risk zones, and scientifically allocating firefighting resources are of great significance for mitigating the increasingly severe threat of forest fires. This study utilized the random forest (RF) algorithm and the Fuzzy Analytic Network Process (FANP) to conduct a forest fire risk-zoning study in the protection and development belt of Wuyishan National Park. The findings revealed that some areas in the western and southern parts of this region have relatively high fire risk levels. Particularly, forest fire prevention and control in the western area need to be strengthened to prevent potential hazards to Wuyishan National Park. The accuracy of the FANP model was as high as 88.5%; areas with fire risk levels of grade 3 and above could control 98.44% of forest fires, and the proportion of areas with fire risk levels of grade 4 and above was 33.41%, which could control 65.63% of forest fires. This finding indicates that the FANP has preferable applicability in small-scale forest fire risk zoning and can offer more reliable decision-making support and reference basis for regional forest fire management.
Restoration of Impounded Forests of Coastal Louisiana Using Spoil Bank Gapping
Authors: Shaffer Gary P. , Parker Taylor , Kandalepas Demetra , Stevens Nicholas
Published: January 2025

Impoundment and increased flood duration are some of the most common stressors to declining forested wetlands in coastal Louisiana, USA. One type of restoration that has shown itself to be cost-effective is spoil bank gapping. This type of hydrologic restoration has occurred within the Lac des Allemands swamp of Barataria Basin. After 60 years of impoundment, the hydrogeomorphic processes in the study area were improved. The study area included eight paired 625 m2 sites. Basal area growth over the 7-year period varied between 5.93% and 14.39%, with an average of 8.31%, or just over 1% wood growth per year. Post-restoration basal areas indicate that all our study areas are improving. Pooled together, the 2018–2023 years had significantly higher net production than the pre-project 2017 growing season. The distribution between leaf and wood production was remarkably similar within species types across years, with leaf production consistently exceeding wood production, particularly due to Taxodium distichum. Canopy cover has increased by 20 percent since project construction, and as a result, herbaceous cover tends to decrease over time.
Integrated Extraction of Root Diameter and Location in Ground-Penetrating Radar Images via CycleGAN-Guided Multi-Task Neural Network
Authors: Cui Xihong , Li Shupeng , Zhang Luyun , Peng Longkang , Guo Li , Cao Xin , Chen Xuehong , Yin Huaxiang , Shen Miaogen
Published: January 2025

The diameter of roots is pivotal for studying subsurface root structure geometry. Yet, directly obtaining these parameters is challenging due their hidden nature. Ground-penetrating radar (GPR) offers a reproducible, nondestructive method for root detection, but estimating diameter from B-Scan images remains challenging. To address this, we developed the CycleGAN-guided multi-task neural network (CMT-Net). It comprises two subnetworks, YOLOv4-Hyperbolic Position and Diameter (YOLOv4-HPD) and CycleGAN. The YOLOv4-HPD is obtained by adding a regression header for predicting root diameter to YOLOv4-Hyperbola, which achieves the ability to simultaneously accurately locate root objects and estimate root diameter. The CycleGAN is used to solve the problem of the lack of a real root diameter training dataset for the YOLOv4-HPD model by migrating field-measured data domains to simulated data without altering root diameter information. We used simulated and field data to evaluate the model, showing its effectiveness in estimating root diameter. This study marks the first construction of a deep learning model for fully automatic root location and diameter extraction from GPR images, achieving an “Image Input–Parameter Output” end-to-end pattern. The model’s validation across various dataset scales opens the way for estimating other root attributes.
High-Titer L-lactic Acid Production by Fed-Batch Simultaneous Saccharification and Fermentation of Steam-Exploded Corn Stover
Authors: Deng Liheng , Su Changsheng , Wu Yilu , Xue Qiang , Zhang Changwei , Wang Yong , Wang Bin , Cai Di
Published: January 2025

Steam explosion (SE) is an effective lignocellulose pretreatment technology for second-generation L-lactic acid (L-LA) production. In this study, targeted to produce high-concentration L-LA from corn stover (CS), the fed-batch simultaneous saccharification and fermentation (SSF) of acidic, SE-pretreated CS was developed and demonstrated in a 5 L scale bioreactor under non-strict conditions (without detoxification and sterilization). The results indicated that the fed-batch SSF, with a simple pH control, realized a higher tolerance of the strains to the toxic by-products of hydrolysate, in comparison to the conventional sequential hydrolysis and fermentation (SHF), allowing for 153.8 g L−1 of L-LA production, along with a productivity of 1.83 g L−1 h−1 in a system with a total of 40% (w/v) solid loading. The mass balance indicated that up to 449 kg of L-LA can be obtained from 1 t of dried CS. It exhibited obvious superiorities and laid down a solid foundation for the industrialization of second-generation L-LA production.
Amplifying the Sensitivity of Electrospun Polyvinylidene Fluoride Piezoelectric Sensors Through Electrical Polarization Process for Low-Frequency Applications
Authors: Tariq Asra , Behravesh Amir H. , Tariq Muhammad , Rizvi Ghaus
Published: January 2025

Piezoelectric sensors convert mechanical stress into electrical charge via the piezoelectric effect, and when fabricated as fibers, they offer flexibility, lightweight properties, and adaptability to complex shapes for self-powered wearable sensors. Polyvinylidene fluoride (PVDF) nanofibers have garnered significant interest due to their potential applications in various fields, including sensors, actuators, and energy-harvesting devices. Achieving optimal piezoelectric properties in PVDF nanofibers requires the careful optimization of polarization. Applying a high electric field to PVDF chains can cause significant mechanical deformation due to electrostriction, leading to crack formation and fragmentation, particularly at the chain ends. Therefore, it is essential to explore methods for polarizing PVDF at the lowest possible voltage to prevent structural damage. In this study, a Design of Experiments (DoE) approach was employed to systematically optimize the polarization parameters using a definitive screening design. The main effects of the input parameters on piezoelectric properties were identified. Heat treatment and the electric field were significant factors affecting the sensor’s sensitivity and β-phase fraction. At the highest temperature of 120 °C and the maximum applied electric field of 3.5 kV/cm, the % β-phase (F(β)) exceeded 95%. However, when reducing the electric field to 1.5 kV/cm and 120 °C, the % F(β) ranged between 87.5% and 90%. The dielectric constant (ɛ′) of polarized PVDF was determined to be 30 at an electric field frequency of 1 Hz, compared to a value of 25 for non-polarized PVDF. The piezoelectric voltage coefficient (g33) for polarized PVDF was measured at 32 mV·m/N at 1 Hz, whereas non-polarized PVDF exhibited a value of 3.4 mV·m/N. The findings indicate that, in addition to a high density of β-phase dipoles, the polarization of these dipoles significantly enhances the sensitivity of the PVDF nanofiber mat.
Quantitative Analysis of Flavonoids and Coumarins from Fingered Citron in Different Growth Periods and Their Regulatory Effects on Oxidative Stress
Authors: Tan Tao , Xu Man , Hong Xianlong , Li Zhenyuan , Li Jiangnan , Jiao Bining , Zhao Xijuan
Published: January 2025

Twenty-two coumarins and twenty-six flavonoids were quantitated in fingered citron in different growth periods. Limettin was the top coumarin, and diosmin was the highest flavonoid, followed by hesperidin. Antioxidant evaluation by DPPH, ABTS, and FRAP indicated extracts of fingered citron in three growth periods all showed good antioxidant activity, which was positively correlated with the concentration of extracts. The oxidative stress model of RAW264.7 cells indicated extracts from fingered citron effectively reduced the contents of NO, MDA, and ROS in cells and increased the activity of SOD, thereby alleviating cell damage. The antioxidant capacity of fingered citron in November was the highest, followed by July and September. And there was a significantly positive correlation between the total flavonoid content and the antioxidant capacity. Diosmin, hesperidin, and neohesperidin were the main contributors to antioxidation. This study has significance for utilization of fingered citron germplasm resources and development of related functional products.
Natural Food Colorant Obtained from Wild Berberis vulgaris L. by Ultrasound-Assisted Extraction: Optimization and Characterization
Authors: Vega Erika N. , González-Zamorano Lorena , Cebadera Elena , Barros Lillian , Pires Tânia C. S. P. , Molina Adriana K. , da Silveira Tayse F. F. , Vidal-Diez de Ulzurrun Guillermo , Tardío Javier , Cámara Montaña , Fernández-Ruiz Virginia , Morales Patricia
Published: January 2025

In this study, a novel natural food colorant based on anthocyanins was developed from wild barberry (Berberis vulgaris L.) fruits using ultrasound-assisted extraction, which was optimized through RSM. Four extraction variables (ultrasound power, time, S/L ratio, and extraction solvent pH) were evaluated in combination. The response criteria used were the total anthocyanin content (TAC) and color parameters. The optimal TAC was achieved at 2.5 min, 345 W, pH 3, and 22.12 g/L. The fruit sample (without seeds) (BVFF) and its optimized extract (BVE) were characterized in terms of chemical composition and bioactivities. Delphinidin-3-O-glucoside was identified as the predominant anthocyanin. BVE exhibited a total phenolic content of 290.72 mg/g. Additionally, both BVFF and BVE presented significant antioxidant, antibacterial, and antifungal activity, especially in the case of BVE, which inhibited the growth of several foodborne bacteria and fungi and even showed bactericidal capacity against most of the tested bacteria, particularly against E. cloacae, E. coli, P. aeruginosa, and B. cereus. These results highlight the richness of BVFF and BVE in bioactive compounds, especially anthocyanins, underscoring their potential as natural food colorants that can be used in food product formulations instead of synthetic azo colorants.
Chromosomal rDNA Distribution Patterns in Clonal Cobitis Triploid Hybrids (Teleostei, Cobitidae): Insights into Parental Genomic Contributions
Authors: Boroń Alicja , Grabowska Anna , Jablonska Olga , Kirtiklis Lech , Duda Sara , Juchno Dorota
Published: January 2025

Background: Interspecific hybridization between relative species Cobitis taenia (with a diploid genome designated as TT), Cobitis elongatoides (EE) and Cobitis tanaitica (NN) and the successive polyploidization with transitions from sexuality to asexuality experienced by triploid Cobitis hybrids likely influence their chromosomal rearrangements, including rearrangements of ribosomal DNA (rDNA) distribution patterns. Previously, we documented distinct karyotypic differences: C. elongatoides exhibited bi-armed chromosomes while C. taenia showed uni-armed chromosomes with rDNA-positive hybridization signals, respectively. Methods: In this study, fluorescence in situ hybridization (FISH) with 5S rDNA and 28S rDNA probes was used to analyze and compare chromosomal distribution patterns of rDNAs in clonally reproduced triploid Cobitis hybrids of different genomic constitutions ETT, ETN, EEN and EET (referred to using acronyms denoting the haploid genomes of their parent species), and their parental species. Results: Cobitis triploid hybrids exhibited intermediate karyotypes with ribosome synthesis sites on chromosomes inherited from both parents, showing no evidence of nucleolar dominance. The rDNA pattern derived from the C. elongatoides genome was more stable in the hybrids’ karyotypes. Two and one submetacentric chromosomes with co-localized rDNAs were effective markers to ascertain C. elongatoides diploid (EE) and haploid (E) genomes within the genome of triploid hybrids, respectively. Fewer 5S rDNA loci were observed in diploid (TT) and haploid (T) chromosome sets from C. taenia in ETT and EET females. C. taenia and C. tanaitica exhibited similar rDNA distribution patterns. Conclusions: The karyotypes of triploid Cobitis hybrids reflect the genomic contributions of their parental species. Variability in rDNA distribution patterns suggests complex genomic interactions in Cobitis hybrids resulting from polyploidization and hybridization, potentially influencing their reproductive potential.
Molecular Characterization, Recombinant Expression, and Functional Analysis of Carboxypeptidase B in Litopenaeus vannamei
Authors: Li Hongmei , Lin Hai , Yang Hao , Ren Chunhua , He Yi , Jiang Xiao , Chen Ting , Hu Chaoqun
Published: January 2025

Background/Objectives: The Pacific white shrimp (L. vannamei) is economically significant, and its growth is regulated by multiple factors. Carboxypeptidase B (CPB) is related to protein digestion, but its gene sequence and features in L. vannamei are not fully understood. This study aimed to explore the molecular and functional properties of CPB in L. vannamei. Methods: The Lv-CPB gene was cloned, and bioinformatics analysis, qRT-PCR, in situ hybridization, recombinant protein expression in Escherichia coli, and an enzyme activity assay were performed. Results: The Lv-CPB gene is 1414 bp long with a 1263 bp ORF encoding a 420-amino-acid protein. It is stable, hydrophilic, and is highly expressed in the hepatopancreas. The recombinant protein was efficiently expressed with a molecular weight of about 47 kDa. The optimal pH and temperature for Lv-CPB were 8.0 and 50 °C, respectively. Conclusions: This study revealed the molecular and functional characteristics of Lv-CPB, providing insights into its role in shrimp digestion, as well as suggestions for improving aquaculture practices.
22q11.21 Deletions: A Review on the Interval Mediated by Low-Copy Repeats C and D
Authors: Bertini Veronica , Cambi Francesca , Legitimo Annalisa , Costagliola Giorgio , Consolini Rita , Valetto Angelo
Published: January 2025

22q11.2 is a region prone to chromosomal rearrangements due to the presence of eight large blocks of low-copy repeats (LCR22s). The 3 Mb 22q11.2 “typical deletion”, between LCR22-A and D, causes a fairly well-known clinical picture, while the effects of smaller CNVs harbored in this interval are still to be fully elucidated. Nested deletions, flanked by LCR22B-D, LCR22B-C, or LCR22C-D, are very rare and are collectively described as “central deletions”. The LCR22C-D deletion (CDdel) has never been separately analyzed. In this paper, we focused only on CDdel, evaluating its gene content and reviewing the literature and public databases in order to obtain new insights for the classification of this CNV. At first glance, CDdels are associated with a broad phenotypic spectrum, ranging from clinically normal to quite severe phenotypes. However, the frequency of specific clinical traits highlights that renal/urinary tract abnormalities, cardiac defects, and neurological/behavioral disorders are much more common in CDdel than in the general population. This frequency is too high to be fortuitous, indicating that CDdel is a predisposing factor for these phenotypic traits. Among the genes present in this interval, CRKL is an excellent candidate for cardiac and renal defects. Even if further data are necessary to confirm the role of CDdels, according to our review, this CNV fits into the class of ‘likely pathogenic’ CNVs.
Influence of Coping, Esteem, and Resilience on Caregiver Distress in Pancreatic Cancer Patient–Caregiver Dyads
Authors: Nardella Nicole , Xia Brent Taiting , Allenson Kelvin , Oraiqat Adrianna , Fan Wenyi , Mo Qianxing , Permuth Jennifer , Kim Dae Won , Hodul Pamela
Published: January 2025

Background/Objectives: Through survey and analysis of pancreas cancer patient–caregiver dyads, we aimed to identify patient and caregiver characteristics that influence and determine the impact of caregiver coping strategies, self-esteem, and resilience on caregiver distress. Methods: This was a cross-sectional, observational study including pancreatic cancer patients and their caregivers. Demographics of patients and caregivers were collected. Caregivers completed validated instruments (National Comprehensive Cancer Network (NCCN) Distress Thermometer, Caregiver Reaction Assessment (CRA), Perceived Stress Scale 4 (PSS-4), Patient Reported Outcomes Measurement Information System-Anxiety/Depression Short Form (PROMIS-Anxiety/Depression), Brief Resilience Scale (BRS), Zarit Caregiver Burden Interview (CBI-12), and Brief Coping Orientation to Problems Experienced (COPE)) investigating anxiety, depression, perceived stress, caregiver burden, use of approach and avoidant coping, resilience, and self-esteem. Descriptive statistics, univariate, and multiple linear regression models were used to analyze the data. Results: One hundred and fourteen patient–caregiver dyads were included in this study. The majority of patients were male (55%), 65% of caregivers were female, and 64% of patients were receiving palliative intent treatment. Younger caregiver age, more personal care tasks, higher patient distress, and caregiving for a parent were characteristics related to caregiver avoidant coping. Fewer caregiving activities and early clinical stage were associated with caregiver approach coping. High caregivers’ self-esteem was significantly associated with fewer personal care tasks to perform and with caregivers of patients with higher levels of education. Avoidant coping and low resilience were both significantly correlated to distress, anxiety, depression, caregiver burden, and perceived stress. Additionally, low self-esteem was associated with a high perceived caregiver burden. Conclusions: Overall, caregiver factors such as age, relationship with the patient, and number of care tasks and activities influence caregivers coping and self-esteem. Additionally, patient education and clinical stage impacted caregiver coping and self-esteem. Developing interventions to address caregiver coping, self-esteem, and resilience will prove beneficial in improving caregiver distress, anxiety, depression, burden, and perceived stress.
Voices from the Rainbow: Exploring Participants’ Experiences in an Online LGBTIQ+-Affirmative Psychoeducation Program
Authors: Ancín-Nicolás Ruth A. , Collado João Carlos , Lopez-Sáez Miguel A. , Gonzalez António-José
Published: January 2025

Background/Objectives: This article highlights the importance of addressing the mental health of LGBTQ people, specifically through psychoeducation/intervention programs. The primary objective was to understand the effects of participating in an online affirmative program. The theoretical frameworks of the minority stress model and the concept of decompensation were used to understand and address disparities with the general population. Methods: A detailed protocol was designed to understand the participants’ experiences. An analysis of the results was carried out using a content analysis of the data collected from a convenience sample of participants from two groups. Results: The findings show that the participants’ experiences were satisfactory, especially with developing coping skills and changing their attitudes towards homophobia, also showing improvements in mental health indicators. Conclusions: This study concludes that online LGBTQ-affirmative psychoeducation programs can be positive in enhancing the mental health and well-being of the LGBTQ population. The research highlights the importance of extending these programs to LGBTQ family members. It is also important to acknowledge the specificities of each subgroup.
Australian Women in the Perinatal Period During COVID-19: The Influence of Self-Compassion and Emotional Regulation on Anxiety, Depression, and Social Anxiety
Authors: Cutajar Kayla , Bates Glen William
Published: January 2025

Objectives: This study examined how self-compassion and emotional regulation strategies have influenced perinatal anxiety, depression, and social anxiety during COVID-19. Methods: A probabilistic sample, determined by convenience criteria of 265 Australian perinatal women completed an online survey containing measures of depression, anxiety, social anxiety, COVID-19 experiences, self-compassion, and emotional regulation strategies. Results: As hypothesised, correlation analyses showed that self-compassion and adaptive emotional regulation strategies were negatively related to anxiety, depression and social anxiety, and maladaptive strategies were positively related. Contrary to predictions, COVID-19-related experiences showed little relationship with mental health outcomes. Parallel mediation analyses showed that self-compassion negatively predicted depression and anxiety and was partially mediated by specific emotional regulation strategies. For social anxiety, self-compassion was fully mediated by emotional regulation strategies. Different emotional regulation strategies were significant mediators of the relationship between self-compassion and each mental health outcome. Conclusions: The findings suggest that reinforcing self-compassion and addressing certain emotional regulation deficits is important in alleviating mental health symptoms among perinatal women.
Ergonomic Challenges and Musculoskeletal Pain During Remote Working: A Study of Academic Staff at a Selected University in South Africa During the COVID-19 Pandemic
Authors: Narainsamy Nevinia , Akpa-Inyang Francis Fabian , Onwubu Stanley Chibuzor , Govender Nalini , Pillay Julian David
Published: January 2025

The COVID-19 pandemic led to a rapid shift to remote working, which affected ergonomic conditions and increased the risk of upper body musculoskeletal pain (MSP). This study assessed the prevalence and impact of upper body MSP (affecting the head, neck, shoulders, and back) among academic staff at a University of Technology during the pandemic. Data were collected from 110 participants through an online, descriptive, cross-sectional survey adapted from the Dutch Musculoskeletal Questionnaire, the Standardized Nordic Questionnaire, and the McCaffrey Initial Pain Assessment Tool. The survey examined demographics, ergonomic practices, MSP, and psychological well-being before and during the pandemic. The sample included 59.1% female participants, with most being middle-aged. Persistent MSP was common, with 54.5% reporting neck pain and 59.1% experiencing back pain during the pandemic, alongside a significant decline in wrists in neutral position ergonomics (p = 0.012). Psychological well-being also worsened, as participants reported lower levels of cheerfulness, calmness, and energy than before the pandemic. While 81.9% of 90.9% participants with pre-existing MSP continued to experience pain, a small (9%) but notable proportion saw a decline in MSP during this period. These findings highlight a strong relationship between remote working conditions and MSP, with poor ergonomics and psychological distress contributing significantly to persistent pain. The results emphasise the need for institutions to provide ergonomic support, such as appropriate equipment and workstation adjustments, alongside mental health resources to mitigate the long-term impacts of remote working on physical and mental health.
The Brazilian Portuguese Version of the Behavioral Regulation in Exercise Questionnaire 3 (BREQ-3) Is Reliable and Valid for Assessing Motivational Regulations and Self-Determination in Exercise Among Adults Aged 50 Years or Older: A Methodological Study
Authors: de Oliveira Vanini Jacyara , Karloh Manuela , Coelho Bosco Ricardo , de Souza Michelle Gonçalves , Karsten Marlus , Matte Darlan Laurício
Published: January 2025

The study aimed to investigate the reliability, construct, and discriminant validity of the Behavioral Regulation in Exercise Questionnaire 3 (BREQ-3) for evaluating motivational regulations and self-determination for exercise in Brazilian adults aged 50 years or older. The study assessed motivation for exercise, peripheral muscle strength, physical performance, functional capacity, cardiovascular fitness, and frailty phenotype. Two raters independently applied the BREQ-3. The reliability was evaluated using internal consistency, test–retest reliability, and agreement. Construct validity was tested with Spearman’s correlation coefficient and discriminant validity with the Kruskal–Wallis test. Eighty individuals participated in the reliability study, and 136 participated in the validation study. Motivational regulation and Self-Determination Index (SDI) internal consistency ranged from 0.55 to 0.82. Test–retest reliability ranged from 0.77 (95% CI 0.64–0.85) to 0.91 (95% CI 0.85–0.94), and inter-rater ranged from 0.80 (95% CI 0.68–0.87) to 0.92 (95% CI 0.88–0.95), except for amotivation, which had poor inter-rater and test–retest reliability. Additionally, moderate to weak correlations between various types of motivation and physical function tests were found (p < 0.05). Frail and pre-frail participants had lower SDI, integrated, and intrinsic motivation regulation than non-frail individuals (p < 0.05). This study confirmed the reliability, construct, and discriminative validity of the Brazilian Portuguese version of the BREQ-3 for evaluating motivational regulations and self-determination for exercise in older adults.
Analysis and Optimization of the Spatial Patterns of Commercial Service Facilities Based on Multisource Spatiotemporal Data and Graph Neural Networks: A Case Study of Beijing, China
Authors: Xiao Yihang , Li Cunzhi , Zhou Zhiwu , Hou Dongyang , Zhou Xiaoguang
Published: January 2025

As a crucial component of urban economic activities, the layout and optimization of urban commercial spaces directly influence the economic prosperity and quality of life of residents. Therefore, comprehensively and accurately characterizing the distribution characteristics and evolutionary patterns of urban commercial spaces is essential for improving the efficiency of urban spatial allocation and achieving scientific spatial planning and governance. This paper utilizes multisource spatiotemporal data, employing geographic spatial analysis methods and graph neural network models to explore the spatial structure of commercial service facilities in Beijing and their relationships with population density and land use, thereby achieving a detailed classification of the commercial service patterns at the natural neighborhood scale. The research findings indicate a significant association between commercial service facilities and population, as well as land use, with a strong spatial heterogeneity. There exists a dissonance between the layout of commercial service facilities and population distribution, and the differences in commercial service development across various regions pose challenges to balanced urban development. Based on this, this paper provides specific recommendations for optimizing the urban commercial spatial structure, offering reference points for future urban planning and development.