bluuebunny/crossref_metadata_2025 huggingface dataset:
Where is the Heart-Shape Fiber Response? Impact of Poroelasticity on Strain and Frac Height Estimation
Authors: Ratnayake Ruwantha , Ghassemi Ahmad
Published: January 2025

Distributed Strain Sensing (DSS) is frequently used to capture hydraulic fracture propagation and geometry in unconventional reservoirs and Enhanced Geothermal Systems (EGS). DSS fibers are sensitive to strain variations induced by dilation and shear deformation of hydraulic fractures. Traditionally, DSS data have been interpreted with the assumption of an elastic medium, yielding a characteristic heart-shaped strain signature near fracture tips. This study investigates the impact of poroelastic effects on DSS responses, showing that fracture propagation does not necessarily produce a heart-shaped signature due to poroelasticity and other fracture deformation modes. Using a fully-coupled poroelastic 3D hydraulic fracture simulator, three scenarios are analyzed where the heart-shaped strain signature is absent. In the first scenario, when the fracture undergoes shear deformation, the fiber strain signature deviates significantly from the typical pattern, showing tensile strain in the middle and compression at the ends of the fiber due to stretching and compression caused by shear deformation. In the second scenario, a propagating hydraulic fracture in a poroelastic reservoir produces an oval-shaped strain signature with tensile strain throughout the fiber and no compression zone following the fracture tip arrival, different from prediction by an elastic model. In the third scenario, fracture height growth is analyzed. Using an elastic impermeable model, often the fracture height is estimated a sign change in the strain plot, but in poroelastic reservoir, the recorded strain remains tensile across the fiber, so that the fracture height is overestimated by the conventional approach. These results suggest that poroelasticity plays a significant role in DSS responses, challenging conventional interpretations and offering important implications for hydraulic fracture diagnostics.
Field Data Interpretation of Cross-Well Strain Measurements with Slippage Effect Using Single-Use Fiber in the Anadarko Basin
Authors: Song Xueling , Jin Ge , Wu Kan , Pelton Kevin , Ingle Trevor
Published: January 2025

Cross-well low-frequency distributed acoustic sensing (LF-DAS) is a valuable tool for monitoring strain changes induced by fracture propagation, identifying fracture hits, and providing insights into fracture geometries. Single-use fiber, a cost-effective option for cross- well monitoring, is commonly used, but it is prone to slippage under large strain changes caused by fracture hits, complicating data interpretation. This study addresses the challenge by applying a developed interpretation method to cross-well strain data obtained using single-use fiber in the Anadarko Basin, where slippage effects are significant.

Our methodology combines comprehensive field data analysis with the visualization of five-parameter plots to interpret strain data from single-use fiber. By utilizing this five-parameter framework (Song et al., 2024), we effectively identify fracture hit numbers, locations, and timings, even under severe slippage conditions. Additionally, we propose four categories to quantify the uncertainty in interpreting strain data affected by fiber slippage.

The field data illustrate the complexity of LF-DAS signals with notable slippage and underscore the need for standardized guidelines in fracture-hit interpretation. Analysis of stages from the toe to the heel of the offset well shows reduced slippage asymmetry and improved data quality in near-heel stages. The five-parameter visualization method successfully interprets single or multi-fracture hits, revealing correlations between slippage levels, fracture hit frequency, and well spacing. Most fracture azimuths align with N85°E, with an average fracture propagation speed of 20-40 ft/min and fracture half-lengths ranging from 1,500 to 3,000 ft. Maximum strain gradients of 0.03 to 0.05 με/ft were observed, indicating frictional resistance between the fiber and the wellbore.

This study presents the first comprehensive analysis of cross-well strain data from single-use fiber experiencing slippage, providing valuable insights into how slippage impacts data interpretation. The proposed five-parameter interpretation method offers a robust framework for industry-wide application and has the potential to set a standard for fracture-hit interpretation using LF-DAS data in various slippage scenarios.
Mitochondrial DNA Demonstrates That a Hen Harrier (Circus cyaneus) Reached Attu Island, Alaska
Authors: Withrow Jack J. , Spicer Ashley M. , Sonneborn David W.
Published: January 2025

A partial wing of a juvenile male harrier salvaged at Attu Island, Aleutian Islands, Alaska, in June 1999 has long been discussed as an example of the Old World taxon Circus (cyaneus) cyaneus on the basis of morphological features and a geographic deduction. This identification took on additional weight after many taxonomic authorities decided to treat the Old and New World forms as separate species—C. cyaneus and C. hudsonius, respectively. Mitochondrial DNA (1887 base pairs) clearly group the specimen with C. cyaneus, and thus the specimen represents the first record for North America of the Hen Harrier.
RNAs anchoring replication complex control initiation and firing of DNA replication
Authors: Ruscio Annalisa Di , Ummarino Simone , Poluben Larysa , Ebralidze Alexander , Autiero Ida , Zhang Yanzhou , Paniza Theodore , Deshpande Madhura , Rinaldi Lucrezia , Lee Jonathan , Bassal Mahmoud , Trinh Bon , Balk Steven , Flaumenhaft Robert , Gerhardt Jeannine , Mirkin Sergei , Tenen Daniel
Published: January 2025

Coordinated initiation of DNA replication is essential to ensure efficient and timely DNA synthesis. Yet, molecular mechanism describing how replication initiation is coordinated in eukar-yotic cells is not completely understood. Herein, we present data demonstrating a novel feature of RNAs transcribed in the proximity of actively replicating gene loci. We show that RNAs aN-Choring ORC1 (ANCORs) to the histone variant H2A.Z are licensors of the DNA replication process. This ANCOR-H2A.Z interaction is essential for cells to initiate duplication of their ge-netic material. Widespread and locus-specific perturbations of these transcripts correlate with anomalous replication patterns and a notable loss of the H2A.Z replicative marker at the origin site. Collectively, we present a previously undescribed RNA-mediated mechanism that is associ-ated with the generation of active replication origins in eukaryotic cells. Our findings delineate a strategy to modulate the origins of replication in human cells at a local and global level, with potentially broad biomedical implications.
Geospatial Techniques for Sustainable Transportation Planning: Insights from Remote Sensing Applications in Andhra Pradesh, India
Authors: Gundala Vijayakumar
Published: January 2025

Transportation planning plays a pivotal role in fostering economic growth while ensuring sustainable development. This study explores the application of geospatial techniques, integrating remote sensing (RS) and Geographic Information Systems (GIS), to analyze and enhance transportation systems in Andhra Pradesh, India. High-resolution satellite imagery and GIS-based spatial analysis were employed to assess road network density, connectivity, and accessibility across urban and rural regions. The study utilized multi-temporal satellite data to identify critical areas requiring infrastructure improvement, highlighting disparities in connectivity and environmental impacts. Results indicate significant gaps in transportation access, particularly in rural areas, and emphasize the need for strategic expansion of road networks to support regional development. The analysis also identified key hotspots for congestion in urban areas such as Vijayawada and Visakhapatnam, which could benefit from optimized traffic flow patterns and alternate routes. Furthermore, the study demonstrated the potential of remote sensing in monitoring the environmental implications of transportation expansion, such as land-use changes and emissions hotspots. The findings underline the efficacy of integrating geospatial techniques for sustainable transportation planning, aiding policymakers in prioritizing infrastructure investments. This approach ensures equitable connectivity, reduces environmental degradation, and aligns with the sustainable development goals (SDGs). The study concludes with actionable recommendations for leveraging RS and GIS technologies to enhance transportation networks in Andhra Pradesh, fostering a balanced and inclusive growth trajectory.
Proposed Visual Explainable model in Melanoma Detection and Risk Prediction using Modified ResNet50
Authors: Verma Sarvachan , Kumar Ajitesh , Kumar Manoj
Published: January 2025

This study proposed an enhanced visual explainable model for melanoma detection and risk prediction. We utilized the HAM10000 dataset, applying pre-processing techniques to improve image quality. Feature extraction and segmentation were performed using a U-Net model-based Dual Stream CNN-Transformer technique. Feature selection was optimized using the Henry Gas Solubility Optimization (HGSO) algorithm and the Water Strider Algorithm (WSA). A Deep Learning Model (DLM), specifically the Optimal Multi-Attention Fusion (MAF) ConvNeXt, was trained for melanoma detection. For disease severity prediction, we introduced a Modified ResNet-50 model combined with the Explainable AI technique Grad-CAM, providing visual explanations for the model's predictions. Experimental results demonstrate a robust classification performance with an AUC of 0.997, recall of 99%, and precision of 99.5%. This study aims to diagnose an accurate, efficient, melanoma and risk assessment. The Algorithm source code can be accessed at https://github.com/SarvachanVerma/Visual-Explanible-code-for-Melanoma_Matlab
Genomic comparison of GABA-producing Levilactobacillus brevis and Companilactobacillus zhachilii strains from Thai fermented foods
Authors: Pakdeeto Amnat , Phuengjayaem Sukanya , Kingkaew Engkarat , Tungkajiwangkoon Santhita , Phitchayaphon Chantharat , Tanasupawat Somboon
Published: January 2025

Two lactic acid bacteria strains, ASK-1 and ANB-1, capable of producing GABA, were isolated from traditional Thai fermented pork sausage (sai-krog-prieo) and fermented pork (nham), respectively. Strains ASK-1 and ANB-1 produced 9.12 ± 0.51 g/L and 12.73 ± 0.57 g/L of GABA, respectively, from 30 g/L of monosodium glutamate after 72 hours of cultivation at 30°C. Genome analysis revealed that strain ASK-1 (genome size: 2,343,673 bp) was identified as Levilactobacillus brevis ATCC 367, with an average nucleotide identity by BLAST (ANIb) value of 98.86%. Strain ANB-1 (genome size: 2,748,085 bp) had an ANIb value of 96.92% with Companilactobacillus zhachilii HBUAS52074T. Further genomic studies of strains ASK-1, ANB-1, and HBUAS52074T identified the presence of GABA-producing genes (gadA and gadB) using the KofamKOALA-KEGG Orthology database. Phenotypic characterization and 16S rRNA gene sequencing further supported these findings. Strain ASK-1 (1,566 bp) exhibited 100% 16S rRNA gene sequence similarity to L. brevis ATCC 14687T, confirming its identification as L. brevis. Similarly, strain ANB-1 (1,567 bp) showed 99.93% similarity to HBUAS52074T, confirming its identification as C. zhachilii. These strains demonstrated efficiency and safety in GABA production, making them promising candidates for further studies to optimize GABA yield and assess their probiotic properties. They hold significant potential for the development of functional foods and the enhancement of food fermentation processes in both local and industrial contexts.
Photon-Number Conserved Universal Quantum Logic Employing Continuous-Time Quantum Walk on Dual-Rail Qubit Arrays
Authors: Deng Xiu-Hao , Guan Hao-Yu , Li Yifei
Published: January 2025

We demonstrate a synergy between dual-rail qubit encoding and continuous-time quantum walks (CTQW) to realize universal quantum logic in superconducting circuits. Utilizing the photon-number-conserving dynamics of CTQW on dual-rail transmons, which systematically transform leakage and relaxation into erasure events, our architecture facilitates the suppression of population leakage and the implementation of high-fidelity quantum gates. We construct single-, two-, and three-qubit operations that preserve dual-rail encoding, facilitated by tunable coupler strengths compatible with current superconducting qubit platforms. Numerical simulations confirm robust behavior against dephasing, relaxation, and imperfections in coupling, underscoring the erasure-friendly nature of the system. This hardware-efficient scheme thus provides a practical pathway to early fault-tolerant quantum computation, laying the groundwork for scalable gate implementations and advanced error-correction strategies.
Correlates of Personnel Police Officers’ Commitment in Taiwan: A Comparison of Job Commitment and Organizational Commitment
Authors: Wang Xinting , Lin Chia-Hung
Published: January 2025

Meta-analyses conducted over time have consistently revealed that high levels of commitment are significantly related to work productivity, innovation, employee retention, and the recruitment of high-quality employees. However, commitment research on policing is understudied. Thus, the current study aims to analyze the correlates of job and organizational commitments among personnel police officers in Taiwan, along with the difference in the antecedents between the two types of commitment. Structural Equation Modeling (SEM) analyses of a sample of 480 Taiwan personnel police officers indicated that job commitment and organizational commitment have similar predictors. More specifically, both workplace fairness and the nature of the personnel police job are positively related to commitments. Implications for future research are discussed in the end.
From Classroom to Operating Room: What Attracts Medical Students to Ophthalmology
Authors: Khathami MBBS Abdulmajeed Al , Alharthi Nada , Alzahrani Raghad Mutir , Alolyani Abdullah Nasir , Alshehri Salem Ahmed Salem , Alghamdi Khalid Ali M , Alharthi Shahad Mansour , Ghamdi Ali Hendi Al
Published: January 2025

Background
The choice of specialty is a pivotal decision for medical students, shaping their professional identities and career trajectories. Ophthalmology, a field combining surgical precision with the preservation of vision, often receives limited exposure in medical curricula. This study aims to explore factors influencing medical students' interest in ophthalmology at Al-Baha University College of Medicine, Saudi Arabia, amid increasing demand for ophthalmologists due to Vision 2030 healthcare reforms.
Methods
A cross-sectional descriptive study was conducted among 299 medical students from the second to the internship year during the 2024–2025 academic year. Stratified random sampling ensured representative distribution. Data were collected using a validated, web-based, self-administered questionnaire addressing demographics, specialty preferences, motivations, and exposure to ophthalmology. Descriptive statistics and logistic regression were used to analyze data, with p < 0.05 considered significant.
Results
Interest in ophthalmology was expressed by 57.2% of students. Younger students (< 21 years, 66.2%) and early decision-makers (before medical school, 70.9%) showed higher preference rates (p < 0.05). Influential factors included personal interest (66.7%), perceived income potential (59.1%), and procedural opportunities (57.9%), while barriers included limited exposure (33.3% had no exposure) and perceived difficulty of residency (36.8%). Logistic regression identified academic level and timing of career decision-making as significant predictors. Gender, marital status, and GPA were not significant.
Conclusion
Enhanced integration of ophthalmology into medical curricula and targeted interventions to address misconceptions are essential. Increasing awareness of medical students about the huge demand for ophthalmologists in medical practice and facilitating postgraduate study acceptance will significantly influence their decision to choose ophthalmology as a future career. These strategies can promote informed decision-making and align medical education with Saudi Arabia’s growing need for specialized ophthalmologists.
Blockchain-based IoT Secure Energy-Efficient Collaborative Neighbor Discovery Protocol
Authors: Ye Dan , Chen Kwang-Cheng
Published: January 2025

This paper proposes an Energy-efficient Secured Distributed Collaborative Neighbor Discovery protocol for IoT mobile sensing applications to enhance on IoT capabilities and efficiencies. Maximum throughput access control model with ultra-low-power constraints is proposed for blockchain-based IoT framework. Simulation result demonstrates the proposed protocol can achieve better discovery performance with minimum discovery latency and maximum duty cycle. Analysis of the comparison results present best choice of primes and duty cycle in the designed low-complexity algorithm.
Ecology, floristic-vegetational features and future perspectives of spruce forests affected by Ips typographus: insights from the Southern Alps
Authors: Giupponi Luca , Panza Riccardo , Pedrali Davide , Sala Stefano , Giorgi Annamaria
Published: January 2025

In recent years, many spruce (Picea abies) forests have been severely affected by bark beetle (Ips typographus) outbreaks in the Southern Alps, but their ecological impacts remain poorly studied. This research analyzed the distribution, ecological, and floristic-vegetational characteristics of forests recently affected by the bark beetle in the upper basin of the Oglio River (Northern Italy) and developed a MaxEnt model to predict severe insect attacks in the coming decades. The results showed that the spruce forests affected by the bark beetle are located exclusively in the sub-mountain and mountain belts (below 1,600 m a.s.l.) and that 85% of them are found in areas with high annual solar radiation (> 3,500 MJ m−²). The predictive model for areas susceptible to severe bark beetle attacks proved highly accurate (AUC = 0.91) and was primarily defined by the mean temperature of the dry winter quarter (contribution: 80.1%), with values between − 2.5 and 2.5°C being particularly suitable for the pest. According to the model, more than 58% of the current spruce forests in the study area will exhibit high susceptibility (probability > 0.7) to severe bark beetle attacks by 2080. The floristic-vegetational and ecological analysis of plant communities of 11 bark beetle-affected areas indicated that more thermophilic and significantly different forest communities (in both floristic and physiognomic terms) are expected to develop compared to those of pre-disturbance. Furthermore, the high coverage/density of spruce snags appears to accelerate plant succession, enabling the establishment of mature forest communities in a shorter time frame.
B4GALT3 as a Key Glycosyltransferase Gene in Multiple Myeloma Progression: Insights from Bioinformatics, Machine Learning, and Experimental Validation
Authors: Yang Apeng , Ke Mengying , Feng Lin , Yang Ye , Chen Junmin , Zeng Zhiyong
Published: January 2025

Background:
Glycosylation abnormalities are critical in the progression of various cancers. However, their role in the onset and prognosis of multiple myeloma (MM) remains underexplored. This study aims to identify glycosyltransferase (GT)-related biomarkers and investigate their underlying mechanisms in MM.
Methods:
GT-related genes were extracted from the MMRF-CoMMpass and GSE57317 datasets. Potential biomarkers were identified using Cox regression and Lasso analyses. A Glycosyltransferase-Related Prognostic Model (GTPM) was developed by evaluating 113 machine learning algorithm combinations. The expression of B4GALT3, a key gene identified through this model, was analyzed in MM bone marrow samples using immunohistochemistry, quantitative PCR, and western blotting. Functional roles of B4GALT3 in MM cell behavior were assessed through knockdown experiments, and its mechanism of action was investigated.
Results:
The GTPM stratified MM patients into high- and low-risk groups, with significantly better survival in the low-risk group (HR = 55.94, 95% CI = 40.48–77.31, p \(<\) 0.001). The model achieved AUC values of 0.98 and 0.99 for 1-year and 3-year overall survival, outperforming existing gene signatures (including EMC92, UAMS70, and UAMS17). B4GALT3 expression was significantly elevated in advanced MM stages (p $<$ 0.001) and correlated with poorer survival. Knockdown of B4GALT3 reduced MM cell proliferation, invasion , and increased apoptosis. Mechanistic analyses revealed that B4GALT3 modulates MM cell behavior via the Wnt/ \(\beta\) -catenin/GRP78 pathway, primarily by regulating endoplasmic reticulum (ER) stress.
Conclusions:
This study developed a novel GTPM for predicting survival in MM and identified B4GALT3 as a key gene influencing disease progression. Experimental evidence highlights B4GALT3's role in modulating ER stress and Wnt/\(\beta\)-catenin pathways, positioning it as a potential prognostic biomarker and therapeutic target in MM.
Association between body roundness index and rheumatoid arthritis: a cross-sectional study based on NHANES
Authors: Jiang Zong , Cai Xin , Yao Xiaoling , Lan Weiya , Liu Jia , Tang Fang
Published: January 2025

Background
The Body Roundness Index (BRI) has been identified as a potentially superior measure of body fat distribution such as body mass index (BMI) and waist circumference (WC). However, its relationship with rheumatoid arthritis (RA) has yet to be thoroughly investigated. This study examines the association between BRI and RA risk using data from the National Health and Nutrition Examination Survey (NHANES).
Methods
The analysis included 28,559 adults, excluding those with missing values for BRI or RA status. BRI was calculated using height and WC measurements, while RA was self-reported by participants. Multivariate logistic regression was utilized to assess the relationship between BRI and RA, while controlling for sociodemographic variables and pertinent comorbid conditions. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were employed to assess the predictive accuracy of BRI, BMI, and WC concerning RA.
Results
An elevated BRI demonstrated a notable correlation with a heightened risk of RA. With each unit increase in BRI, there was a corresponding 10% increase in the likelihood of RA after complete adjustment (OR: 1.10, 95% CI: 1.08–1.12, P < 0.001). A clear dose-response relationship was identified among the BRI quartiles, where individuals in the highest quartile exhibited a 76% increased risk (OR: 1.76, 95% CI: 1.50–2.07, P < 0.001). Subgroup analysis indicated a more pronounced association among participants exhibiting hyperlipidemia (P for interaction = 0.012). Threshold analysis revealed a BRI value of 4.61 as the critical inflection point, beyond which each unit increase correlated with a 12% elevated risk of RA (OR: 1.12, P < 0.001). ROC analysis revealed that BRI exhibited the highest AUC of 0.637 in predicting RA risk, surpassing WC at 0.622 and BMI at 0.594.
Conclusions
BRI serves as a strong indicator of RA risk, demonstrating enhanced predictive accuracy when contrasted with conventional metrics like BMI and WC. The results indicate that BRI may function as a valuable instrument for assessing the risk of RA, especially in those exhibiting hyperlipidemia.
Bioremediation of Petroleum Contaminated Water Using Oil Spill Dispersant and Lemna minor in Laboratory Scale of Constructed Wetland
Authors: Fitrisyaah Muhammad Ridho , Fauzi Anas Miftah , Yani Moh.
Published: January 2025

Petroleum pollution due to industrial activities is a significant environmental problem, especially when polluting water resources. This study aims to evaluate the effectiveness of using oil spill dispersant (OSD), constructed wetlands, and phytoremediation using Lemna minor in improving the quality of petroleum-polluted water. The experiment was conducted using a group randomized design with a combination treatment of petroleum-based commercial OSD (Non-Bio-OSD) and environmentally friendly palm oil-based OSD (Bio-OSD) in a laboratory-scale constructed wetland system. The results showed that Bio-OSD significantly reduced COD and BOD₅ levels to meet water quality standards. The highest COD reduction efficiency of 39.78% was achieved when Bio-OSD DOR 0.1:1 treatment was implemented. Under this treatment, BOD reduction efficiency was 27.60%. GC-MS analysis showed the degradation of long-chain hydrocarbons such as n-hexadecane and nonadecane. The highest COD Reduction efficiency by Non-Bio-OSD was 27.17% with DOR 0.25:1. This result showed that Bio-OSD performed better in reducing COD than Non-Bio-OSD. The weight of Lemna minor biomass decreased slightly during the process, indicating that OSD is toxic to the plant. Regardless of the successful construction of wetlands in reducing COD and BOD5, it is recommended that the growth condition of the aquatic plant be improved for a sustainable phytoremediation process.
Transformer monitoring system and its testing
Authors: korobeynikov Sergey , Dvortcevoi Alexander , Yakovina Irina , Borush Olesya , Shevchenko Vladimir
Published: January 2025

This study presents a transformer monitoring system designed for remote measurement of dissolved combustible gases, particularly hydrogen, as well as partial discharges (PD) and oil moisture content. The system was implemented on a 110 kV transformer in late December 2023. The behavior of oil moisture was analyzed, and based on the intensity of PD and the increase in combustible gas concentrations, an unscheduled chromatographic analysis was conducted. This analysis led to the decision to disconnect the transformer. Subsequent internal inspection revealed a defect in the input conductor of one of the phases.
Deciphering Soil Microbial Dynamics in Pennsylvania Grasslands with Goldenrods (Solidago sp)
Authors: Kelleher Lily A. , Anderson Zachary , Stratford Jeffrey A. , Fortunato Caroline S.
Published: January 2025

Grasslands are important centers of biodiversity, however these ecosystems have been in decline. Although many methods for grassland restoration have been developed, the abundant microbial communities in these regions are understudied and could be used to assist in these efforts. In this study, we aimed to understand how microbial communities varied by soil type, grassland site, and environmental conditions. Samples were taken from rhizosphere soil, proximal soil (close to the plant roots) and from bulk cores at Ricketts Glen State Park and Nescopeck State Park in Northeastern Pennsylvania during June and August of 2021 and 2022. Rhizosphere soil samples were taken from the common grassland plant, Solidago rugosa. 16S rRNA gene sequencing revealed that pH as well as soil type (bulk, proximal, or rhizosphere) significantly influenced the microbial community composition and taxonomic composition of each soil. Each soil type had its own distinct microbial communities, and proximal soil was identified as a transition zone between rhizosphere and bulk microbial communities. We also observed that the rhizosphere communities are dependent upon geography, as these communities were significantly different between grasslands even though the plant species remained the same. Our results highlight the complex nature of soil microbial communities and how many factors, including pH, soil type, and geography, are able to layer together and impact microbial community composition. Results showcase potential avenues for conservation and rehabilitation of diminished grassland regions through modification and regulation of specific soil microbial communities.
Characteristics and Satisfaction with Services of Patients Attending A Geriatric Psychiatry Clinic in Southern India
Authors: Ninan Sheeba , Kilikkotte Fathima Hanan , Kollamkandipalliyali Aswin , Kumar Sudhir
Published: January 2025

Specialist services like geriatric psychiatric clinics aim to provide a multidisciplinary and person-centred approach. There is not enough information available about the number and type of such clinics in India. In this descriptive paper, we aim to detail the services provided and the sociodemographic and clinical characteristics of patients who have attended the geriatric psychiatry outpatient clinic at the Institute of Mental Health and Neurosciences, Kerala, in Southern India. A specific data sheet was used to transfer the sociodemographic and clinical details of patients who attended the weekly Geriatric Psychiatry Outpatient clinic. The clinic uses a comprehensive proforma and assessment tool as appropriate. The Short Assessment of Patient Satisfaction Scale was used to assess the satisfaction with the services. Between August 2023 and March 2024, eighty patients attended the Geriatric Psychiatry Outpatient Clinic. Men and women were equal in numbers (40, 50%). The mean age of the attendees was 68.91 (sd=6.87). Sixty-four (80%) patients had comorbid medical disorders. The most common psychiatric diagnosis was dementia and adjustment disorder (14; 17.5%). Eight (10%) patients each had depression and anxiety disorders. Regarding treatment, 48 (60%) were prescribed psychotropic medications: 21 were (26.3%) on antipsychotics, 37 (46.3%) were on antidepressants, and 14 (17.5%) were on benzodiazepines. Most of the patients were ‘very satisfied’ with the service, 47 (58.8%) scoring 27 or 28 on SAPS, where the maximum score is 28. The multidisciplinary team in this clinic brings a blend of skills to provide a comprehensive approach to treatment, care, and rehabilitation.
Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human bladder cancer
Authors: Lu Yu , Ye Fangdie , Han Xuedan , Wang Zihan , Zhang Wenzhou , Qin Hai , Guo Qianqian , Zheng Lufeng
Published: January 2025

Bladder cancer (BC) is a malignancy that originates from the cells lining the bladder and is one of the most common cancers of the urinary system, capable of occurring in any part of the bladder. However, the molecular mechanisms underlying the malignant transformation of BC have not been systematically studied. This study integrated cutting-edge techniques of spatial transcriptomics (ST) and spatial metabolomics (SM) to capture the transcriptomic and metabolomic landscapes of both BC and adjacent normal tissues. ST results revealed a significant upregulation of genes associated with choline metabolism and glucose metabolism, while genes related to sphingolipid metabolism and tryptophan metabolism were significantly downregulated. Additionally, significant metabolic reprogramming was observed in BC tissues, including the upregulation of choline metabolism and glucose metabolism, as well as the downregulation of sphingolipid metabolism and tryptophan metabolism. These alterations may play a crucial role in promoting tumorigenesis and immune evasion of BC. The interpretation of ST and SM data in this study offers new insights into the molecular mechanisms underlying BC progression and provides valuable clues for the prevention and treatment of BC.
Dual Edge of Export Quality: Does it Boost Employment? Insights from OECD and G20 Countries
Authors: Sharma Manish Kumar , Aditya Anwesha
Published: January 2025

The quality of traded goods is crucial for entering into high-income markets and for the continuously growing and sustained earning of export revenues. However, many countries are constrained by poor quality and often face rejections and are simultaneously battling with the unemployment problem as well. While facing quality-related market entry barriers, they try to improve export quality, and an important question arises that ‘how the export quality improvement will impact their labour market?’ which is largely unexplored in existing literature. Thus, this research investigates how export quality (using three alternate indicators) impacts aggregate employment as well as skill level employment (low, high, semi and unskilled) after taking into account other potential determinants of employment, for 45 countries from G20 and OECD for the period 1990–2019. The GMM dynamic panel estimation reveals that higher export quality significantly boosts both aggregate employment and employment for low-and high-skilled workers but contrasting and more nuanced results are obtained for other skill level workers and developed and developing countries. The findings have valuable policy implications for achieving economic resilience and designing long-term employment friendly trade policies through strategic export quality improvements.
Subject classification codes: F16, F10, F66, J23, J24, O33
The Nexus Between Talent Management Attention and Artificial Intelligence: Evidence from Companies Operating Within the AI Domain
Authors: Alruwaili Naif Fawzi , Mokni Khaled
Published: January 2025

This study examines the relationship between talent management (TM) attention and the performance of leading artificial intelligence (AI) companies. Using Google Trends data, TM attention is quantified through search queries related to talent acquisition, employee development, and workforce planning, while additional corporate metrics, such as HR performance reports and employee retention rates, are incorporated to increase the robustness of the analysis. AI company performance is measured via the stock returns of Microsoft, Google, Amazon, and NVIDIA, which represent key players in the AI sector. A nonparametric causality-in-quantiles test is applied to capture the asymmetric and heterogeneous effects of TM attention on stock returns across different market conditions, ranging from bearish to bullish scenarios. The results reveal significant causality from TM attention to AI stock performance under bearish and normal market conditions, emphasizing the importance of TM strategies during periods of market stress or stability. In contrast, TM attention exerts limited influence during bullish conditions, where performance is likely driven by other factors, such as market sentiment and technological advancements. A facet-specific analysis highlights that talent acquisition consistently influences stock performance across all market conditions, whereas employee development has a significant effect only during bearish and normal conditions. Workforce planning has limited causal influence, suggesting that its market impact depends on company-specific factors and contextual dynamics. This study makes important contributions to theory and practice by offering a nuanced understanding of TM’s role in shaping organisational performance within the dynamic AI landscape. For companies, prioritizing effective TM strategies, particularly talent acquisition and employee development, can enhance resilience and competitiveness. Investors can leverage TM insights to refine portfolio strategies, whereas policymakers are encouraged to implement initiatives such as grants for workforce training or public‒private partnerships to foster talent pipelines in the AI sector. These findings underscore the critical interplay between TM practices and market performance, providing actionable insights for navigating the complexities of the rapidly evolving AI industry.
Camel meat perception and the factors influencing its consumption willingness among Algerian consumers
Authors: Hamad B. , Hadef L. , Amara S.
Published: January 2025

The purpose of this research was to evaluate Algerian consumers' perceptions of camel meat and identify the variables driving their intention to consume it. A survey of 142 participants selected at random through in-person interviews and a self-administered questionnaire in El Oued district located in the southeast of Algeria assisted in this study. The data revealed that 93.7% of the participants had consumed camel meat previously at least once; however, merely 6.3% of participants had never consumed this meat before. The majority of participants (83.1%) held a favorable perception of camel meat and expressed a willingness to consume it again (80.3%). Conversely, 59.2% of the participants said that eating camel meat was often linked with particular occasions, like religious and sociocultural activities. Taste (65.5%) was the primary factor influencing customers' choice of red meat varieties, while tenderness (58.5%) was the most strongly correlated attribute with camel meat perception. Analysis of the determinant variables showed that males were willing to eat camel meat at a higher rate than females (92.1% vs. 66.7%; χ2 = 14.440; p = 0.000). A substantial beneficial impact was also evident due to prior consumption and the favorable perception of this meat among consumers (χ2 = 29.043; p = 0.000 and χ2 = 52.857; p = 0.000). The willingness to indulge in camel meat consumption was also significantly impacted by ascertaining how frequently consumers consume this meat. Altogether, this investigation offers a clear understanding of how consumers perceive the quality of camel meat and the factors that influence its consumption.
Nutritional assessment and antioxidant potential of selected meat types consumed in Owhelogbo, Delta State, Nigeria
Authors: Owheruo J. O. , Edo G. I. , Akpoghelie P. O. , Faturoti A. O. , Isoje E. F. , Igbuku U. A. , Oghroro E. E.A. , Ahmed D. S. , Yousif E. , Zainulabdeen Kh. , Mohammed A. A. , Essaghah A. E.A. , Umar H.
Published: January 2025

The present study aims at evaluating the nutritional value and antioxidant potential of various meat types (beef, pork, chicken, catfish and snails) consumed in Owhelogbo, community in Isoko Local Government, Delta State, Nigeria. The different meat samples were analyzed for nutritional composition and antioxidant properties. The results obtained show that the protein content varied from 20.09 to 61.74%, while the fat content varied from 2.00 to 12.08%. The calcium content ranged from 10.30 to 143.73 mg/100 g, while the phosphorous content ranged from 100.85 to 300.11 mg/100g. The linoleic acid content was in a range from 10.91 to 29.54%, while the linolenic acid content ranged from 0.84 to 5.53%. The content of vitamin A and vitamin D varied from 4.61 to 110.69 µg/100g and 2.15 to 18.05 µg/100g, respectively. The DPPH free radical scavenging ability and FRAP inhibitory activities of the different meat types ranged from 50.84 to 65.64% and 0.88 to 1.59%, respectively. The levels of high density lipoprotein and low density lipoprotein were in a range from 13.34 to 21.90 mg/dL and 2.30 to 5.59 mg/dL, respectively. The level of low density lipoprotein was the lowest in snail meat (SN), which suggests that it may be useful in managing obesity and preventing disorders linked to lipids. Consequently, the results conclude that snail meat may be a more valuable and innovative source of animal protein than beef, pork, chicken, and catfish.
kdotpy: k·p theory on a lattice for simulating semiconductor band structures
Authors: Beugeling Wouter , Bayer Florian , Berger Christian , Böttcher Jan , Bovkun Leonid , Fuchs Christopher , Hofer Maximilian , Shamim Saquib , Siebert Moritz , Wang Li-Xian , Hankiewicz Ewelina , Kießling Tobias , Buhmann Hartmut , Molenkamp Laurens
Published: January 2025

The software project kdotpy provides a Python application for simulating electronic band structures of semiconductor devices with k·p theory on a lattice. The application implements the widely used Kane model, capable of reliable predictions of transport and optical properties for a large variety of topological and non-topological materials with a zincblende crystal structure. The application automates the tedious steps of simulating band structures. The user inputs the relevant physical parameters on the command line, for example materials and dimensions of the device, magnetic field, and temperature. The program constructs the appropriate matrix Hamiltonian on a discretized lattice of spatial coordinates and diagonalizes it. The physical observables are extracted from the eigenvalues and eigenvectors and saved as output. The program is highly customizable with a large set of configuration options and material parameters.
İşletmelerde İsrafla Mücadelede Yeşil Yönetim Uygulamalarının Rolü
Authors: Kurt Zeynep , Çakıcı Ayşehan
Published: January 2025

Son yüzyılda dünya nüfusunda yaşanan artış ve sanayideki gelişim, üretimde de artışa sebep olmuş, bunun sonucunda kaynaklar ve çevre büyük zarar görmüştür. Uzun yıllar işletmeler bu zarara dikkat etmeden geleneksel yönetim uygulamalarını benimseyerek işlevlerini sürdürmüştür. Verilen zararı en aza indirmek için çevreyi ve kaynakları koruyarak üretimi amaçlayan yeşil yönetim anlayışı geliştirilmiştir. Bu yeni yönetim anlayışı; geri dönüşüm uygulamaları ile kaynak ve enerji tasarrufu sağlarken, sürdürülebilirliğe hizmet eden ve işletmenin itibarını artıran faaliyetleri de içermektedir. Öte yandan israf tüm dünyada olduğu gibi Türkiye’de de kaynakların uygun değerlendirilmesinin ve verimli kullanımının önündeki büyük engeldir. Bunun yanı sıra israf, işletmelerin maliyetlerini artıran ve finansal performansını olumsuz etkileyen büyük bir sorundur. Buradan hareketle bu araştırma, yeşil yönetim uygulamalarının, israfın azaltılmasında bir çözüm yolu olabileceği inancı ile başlatılmıştır. Bu amaç doğrultusunda yeşil yönetimin israfa olan etkisini tespit etmek için bir araştırma başlatılmıştır. Mersin ili sınırları içerisinde bulunan, çevre ile ilgili kalite standartları belgesine sahip 16 firmada çalışan 244 yöneticiden anket yönetimi ile veri toplanmıştır. Verilerin analizinde tanımlayıcı istatistiklerin yanı sıra doğrulayıcı faktör analizi ve regresyon analizinden yararlanılmıştır. Araştırma bulguları, yeşil yönetim uygulamalarının ve alt boyutlarının (pazarlama dışında) işletmelerde israfla mücadeleyi olumlu yönde etkilediğini göstermektedir.
Osmaniye Çocuk Folklorunda Bitkiler
Authors: Doğaner Ali
Published: January 2025

Çocuk folklorunda oyunlar, önemli bir yer tutmaktadır. Oyun kültürü içerisinde bitkilerin özel bir yeri vardır. Köy ortamında geniş bahçeleri olan müstakil evlerde doğayla iç içe yaşayan çocuklar, bitkilere kolayca ulaşabilmişlerdir. Bitkiler insanların geçmişle bağ kurmasını sağlar. Çocukluk yıllarını, oynanan oyunları, yapılan oyuncakları, oyun arkadaşlarını hatırlatır. Oyunda kullanılan bitkiler, doğada her çocuğun kolay bir şekilde erişebileceği bolluk ve çeşitliliktedir. Bu malzemeleri işleyen çocukların zihinsel faaliyetleri ve el becerileri gelişir. Bitkileri, ayırt edici özellikleriyle birlikte tanır. Doğayı ve doğadaki bitkileri koruma konusunda bilinç sahibi olur. Osmaniye’de özellikle ilkbahar mevsiminde çocukların bitkilerle ilişkisi artar. Günlerin uzaması, havaların ısınması ve bitkilerin yeşerip çiçek açmasıyla uygun şartlar oluşur. Yaz mevsiminde yaylaya gidebilen çocuklar farklı bitkilere erişerek oyunlarına devam edebilmektedir. Sanayileşme, kentleşme, köyden kente göç, tarım ve hayvancılık yapan nüfusun azalması, konargöçer yaşam biçiminden yerleşik hayata geçişle birlikte çocuklar doğadaki bitkilerden uzaklaşmışlardır. Geleneksel olarak öğrendikleri, kendi başlarına tasarlayıp ürettikleri oyuncaklar, yerini satın alınan atölye ve fabrika ürünü ahşap ya da farklı malzemelerden üretilen oyuncaklara bırakmıştır. Osmaniye çocuk folklorunda bitkiler; oyuncak, oyun ve aktivite aracı yapımında kullanılmaktadır. Çocuk oyun isimlerinde, tekerlemelerde ve oyun içeriklerinde çeşitli bitki adlarına başvurulmaktadır. Oyun olarak süslenmede, süs eşyaları yapmada bitkiler kullanılmakta ve bitkilerle niyet fal oyunları oynanmaktadır. Bitkiler yiyecek çeşidi olarak da önemli bir yere sahiptir. Osmaniye çocuk folklorunda bitkilerin yerini tespit edip yaşanan değişimleri analiz etmenin amaçlandığı bu makalede literatür taraması yapılmış, alan araştırmasında gözlem ve görüşme teknikleriyle bilgiler elde edilmiştir. Verilerin değerlendirilmesinde nitel araştırma yöntemi takip edilmiştir.
Türkiye’de Kına Gecesi Bohça Götürme Geleneği ve Toplumsal İşlevi
Authors: Eren Mustafa
Published: January 2025

Geleneklerin bir ihtiyaçtan doğduğu ve belli bir amaca, inanışa yönelik olduğu açıktır. Bugün bize anlamsız gibi gelen birçok geleneğin aslında başlangıçta insanları bir arada tutan, mutlu eden, geleceğin şekillenmesini sağlayan yönlerinin olduğu görülmektedir. Doğum ve ölümün yanında hayatın üç önemli aşamasından biri olan evlenme ile ilgili her toplumun kendine has geleneklerinin olduğu bilinmektedir. Bu aşamalarda uygulanan gelenekler genellikle yeni girilen bu dönemlere alışma, bereket ve kötülüklerden korunma ile ilgilidir. Evlenme, tanışmadan düğüne ve hatta düğünden sonrasına kadar uzanan geniş bir süreci ifade eder. Evlenmenin her aşamasında gelenekten gelen usuller ve ritüeller yer alır. Türk coğrafyası, evlenme gelenekleri açısından zengin bir içeriğe sahiptir. Bu geleneklerden bir tanesi Türkiye’nin hemen her yöresinde görülen bohça götürme geleneğidir. Hediyeleşmek ve yakınlaşmak amaçlı bohça götürme geleneğinin evlenmenin kız istemeden düğüne kadar hemen her aşamasında uygulandığı görülmektedir. Oldukça yaygın ve geniş kapsamlı bu geleneğin kına gecelerinde ayrı bir yeri ve önemi vardır. Kına gecelerinde kız evinden erkek evine götürülen bohçalar, eğlence temelli halk oyunlarına dönüşmüştür. Bu oyunlarda hem yeni kurulacak ailenin temelleri atılır hem de kız ve erkek tarafının aileleri arasındaki akrabalık bağları güçlendirilmeye çalışılır. Bu geleneğin eğlendirme, sosyal ve ahlaki kuralları öğretme, toplum tarafından kabul edilmiş davranış örüntülerini sürdürme gibi işlevleri vardır. Bu çalışmada, evlenme geleneklerinden birisi olan bohça götürmenin ve özellikle kına gecesinde kız evinden erkek evine götürülen bohçanın Türkiye’nin farklı bölgelerindeki usulleri ve ritüelleri işlevleriyle beraber araştırılıp incelenmiştir. İncelenen örnekler konuya yönelik literatürdeki verilerden, kişisel gözlemlerden ve kaynak kişilerden elde edilmiştir.
Implementation of artificial intelligence technologies in marketing of Russian companies: Prospects and barriers
Authors:   Faculty of Economics, Lomonosov Moscow State University, Gerasimenko Valentina V. , Kurkova Dina N. ,   Faculty of Economics, Lomonosov Moscow State University, Kurbatskii Aleksei N. ,   Faculty of Economics, Lomonosov Moscow State University
Published: January 2025

Purpose: to identify the current trends of new artificial intelligence technologies’ application in the marketing management practices and to determine the process of implementation of marketing tools as a system in the Russian companies.

Methodology: The exploratory empirical study aimed to update the identified approaches related to the Russian business. The survey among 235 executives and managers of the Russian companies representing various industries was conducted from February to April, 2024.

Findings: Based on the research done the actual system of marketing tools is revealed where these technologies can be successfully applied. The areas of implementation of these technologies in accordance with the marketing tasks’ logic are systematized. Prospects and existing barriers in implementation of the digital technologies into marketing practice of local companies are assessed.

Originality and contribution: the paper presents an original research where an application of artificial intelligence technologies is analyzed via the marketing complex. It allowed the authors to examine the process of implementation of these technologies comprehensively and also in terms of real managerial tasks for marketing needs. This study is the first that systematically assesses the current practice of implementing AI and ML technologies in marketing management of local companies and to demonstrate the factors that promote or hinder this process in the conditions of the contemporary market environment.