bluuebunny/crossref_metadata_2025 huggingface dataset:
Granitoidal Oil-Bearing Formation
Authors: Koshlyak V. A.
Published: January 2025

At the time being there are known some tens oil and gas fields in magmatic (Libya, United States, Venezuela, Russia, China, Egypt, India, etc.). The oil field Bachho (White Tiger) is confined to a horst-shaped granitoid massif - the basement - with a complex inner structure. The massif is located in the Central High of the Cuulong Basin on the shelf of South Vietnam. At the field there more than one hundred wells have been drilled, most of them are highly productive with oil flow rate up to 1350 t/d. The uniqueness of this field is the fact that the reservoir rocks are "fresh" granitoids not clearly touched by weathering processes; the oil column exceeds the amplitude of the structure; and the presence of hydrocarbon gases in the rock voids indicates to existence of some additional hydrocarbon sources 1.

The rock composition of the basement is represented by differently dated granites, adarnellites, granodiorites, diorites, leucomonzodiorites, monzonites. The transition between the rocks is not always clear enough. Besides, the massif is dissected by numerous dikes of comagmatites of the Oligocene effusive rocks composed of diabases, basalts, trachibasaltic porphyrites which fonned a lava sheet over the basement and in the Oligocene terrigenuos sequence.

Tectonic processes, pneumatogenic mineralization, hydrothermal activities Jed to rock alteration. As a result, there is not only increase of secondary porosity, but also enrichment of granitoids with secondary minerals (kaolinite, zeolite, calcite, chlorite, pyrite etc.) filling in secondary voids or developing over the feldspars.

The increasing number of oil and gas reservoirs discovered in granitoid rocks as well as the regional oil-bearing of granitoids on the self of South Vietnam (the oil fields Dragon, Big Bear, Tamdao, Cuulong etc.) allows to admit a Society of Petroleum Engineers new type of reservoir rock - granitoid rocks - along those of terrigenous and carbonate rocks.
Hydraulic Fracturing-Fluid System Breakers and Their Effects on Proppant-Pack Conductivity
Authors: Parker Mark A. , Terracina John M. , McCabe Mike , Slabaugh Billy
Published: January 2025

High viscosity, polymeric fluid systems allow the hydraulic fracturing of oil- and gas-producing reservoirs. These fluids allow the generation of fracture geometry, in addition to controlling fluid loss and placing proppant However, they can damage the proppant pack and reduce fracture performance. Gel breakers degrade the viscosity of the fluid; allowing it to be flowed back out of the fracture_ However, current breakers (oxidizers and enzymes) cannot provide complete fluid breaks to maximize conductivity.

A new chemical is now available that can be used as a breaker. This new breaker has a broader range of application than available oxidizing and enzyme breakers. It can be used with a catalyst system to provide controlled breaks below 200°F or used alone at temperatures up to 350°F. This system also improves the conductivity of proppant packs.

This paper focuses on a new breaker and application technique that provides more flexibility in maintaining early-time viscosity for the pump time of the treatment, and complete gel degradation over extended time. This flexibility will be demonstrated with viscosity profiles of fluid systems with and without breaker at reservoir temperatures up to 350°F. Data will be provided to show the fracture conductivity performance of the same fluids. Viscosity profiles are generated with standard procedures for the Fann Model 50 viscometer. Dynamic fluid-loss and fracture conductivity data are generated with API linear conductivity cells. The fluid-loss procedure simulates the entire fracturing treatment with realistic gel mixing, pumping, fracture shear conditions, and fracture temperature. The conductivity procedure simulates the production conditions of the reservoir with closure stress and temperature. This paper will show the benefits of using the new breaker, which improves fracture conductivity.
First Record of the Northern Spotted Owl Nesting in Forest Burned at the Highest Level of Severity
Authors: Chi Tonja Y.
Published: January 2025

An instance of the Northern Spotted Owl (Strix occidentalis caurina) nesting successfully in severely burned forest indicates that under some circumstances, such habitat may indeed provide the species suitable habitat. Current forest-management approaches treat wildfire as the primary cause of habitat loss for both the Northern and California (S. o. occidentalis) Spotted Owls. Assumptions that severely burned forest does not provide any viable nesting or roosting habitat for these Spotted Owl subspecies has resulted in substantial post-fire logging and removal of burned trees throughout both owls’ ranges. In addition, forest management intended to prevent severe fires may entail thinning of unburned Spotted Owl habitat to reduce tree density and potential fuel loads. In the Mendocino National Forest of western Glenn County, California, I followed a pair of Northern Spotted Owls nesting and roosting deep within a large patch of severely burned forest two years after a fire, in a stand with no post-fire salvage logging, pre-fire thinning, fuels reduction, or attempts at restoration. A pair of Spotted Owls had used this location consistently since 1990, and the territory remained occupied with owls roosting and nesting successfully in 2022, despite 73% of the territory burning at high severity in 2020.
Northern Harrier Breeding in Bahía de San Quintín, Baja California
Authors: Moreno Xavier , de León-Girón Gonzalo , Moreno-Higareda Hiram Rafael , Hargrove Lori , Zamora-Hernández Enrique D. , Olguín Daniel , de la Cueva Horacio
Published: January 2025

The Northern Harrier (Circus hudsonius) reaches the southern limit of its current breeding range at San Quintín Bay, Baja California Mexico, where the tidal salt marsh is home to possibly as many as 15 pairs. In 2023 one pair had a nest with three eggs hatching 25–26 April. Two young fledged by 17 June.
Global burden of brain and other central nervous system cancer in older adults aged over 65: a population-based study
Authors: Xu Shuoyang , Hu Guoming
Published: January 2025

Background
Brain and central nervous system cancer remains a major healthy concern among the elder worldwide. This study is performed to assess the global burden of CNS cancer among adults aged ≥ 65 years across 204 countries and territories from 1990 to 2021 and to predict future trends in the next 25 years.
Methods
We analyzed the incidence, mortality and disability adjusted life years (DALYs) based on data from the Global Burden of Disease Study 2021. In addition, we obtained and analyzed the age-standardized incidence rate (ASIR), age‐standardized death rate (ASDR), and age‐standardized DALYs rate during 1990–2021. Then we assessed the impact of geographical variations and the Socio‐demographic Index (SDI) on disease burden of CNS cancer. Furthermore, we calculated EAPC and AAPC to reveal temporal trends of CNS cancer incidence and mortality among adults aged ≥ 65 years.
Results
Globally, CNS cancer incident cases among adults aged ≥ 65 years increased from 40344 in 1990 to 130100 in 2021. The ASIR rose from 3.7 to 4.3 per 100,000 (EAPC:0.44, 95% CI: 0.4–0.49). Low-middle SDI regions showed the largest ASIR increase (EAPC:1.04, 95% CI: 0.99–1.09), while High SDI regions had the lowest (EAPC:0.43, 95% CI: 0.36–0.5). The global ASDR rose from 3 per 100,000 in 1990 to 3.1 per 100,000 in 2021, and the age-standardized DALYs rate decreased from 119.9 to 107.9 per 100,000 between 1990 and 2021. Geographically, the incidence and mortality rates of CNS cancer among adults aged ≥ 65 years increased in most countries and territories.
Conclusion
The global burden of CNS cancer among the elder has risen sharply from 1990 to 2021, with divisions and disparities observed across different regions. Specific medical interventions and policies to consolidate early detection and better healthcare service in impoverished regions are essential for reducing the global impact of CNS cancer.
Muscle macrophage regenerative response after squalene-adjuvanted influenza vaccination drives Th2-skewed response and is reduced with age
Authors: Noureddine Moataz , Chang Lauren , El-Ayache Farah , Laghlali Gabriel , Burgess Eleanor , Grueneberg Leonie , Warang Prajakta , Jiang Kaijun , Nijhuis Haye , Coughlan Lynda , Diego Juan Garcia-Bernalt , Park Seok Chan , Levican Jorge , Schotsaert Michael
Published: January 2025

Squalene-based adjuvants like MF59, and its research alternative AddaVax, induce transient muscle injury, but their mechanisms downstream of muscle injury remain unclear. We show that an AddaVax-adjuvanted quadrivalent inactivated influenza virus vaccine (QIV) intramuscular injection triggers muscle regeneration-like immune processes and increases CX3CR1+Ly6C+ macrophages in the muscle and inguinal lymph nodes by day 4 post-injection. This leads to a Th2 skewed vaccine response with higher levels of vaccine specific IgG1 titers, and Th2-associated cytokines in the lungs 5 days after subsequent influenza viral challenge. In aged mice, the macrophage recruitment and polarization is diminished, which is consistent with age-associated muscle mass loss, reflecting the age-related decline in muscle regeneration. Unlike young mice, aged mice exhibit a reduction in magnitude and skewing of AddaVax-mediated Th2 responses to QIV. We found that adoptive transfer of bone marrow-derived macrophages derived from young mice into aged mice at the moment of vaccination leads to their infiltration into the injected muscle, where they collect vaccine antigens, drain to the lymph node, and enhance the Th2 response, recapitulating the young host response in an older host. However, rescuing the Th2-skewing effects of AddaVax alone was not sufficient to enhance protection against mismatched subsequent influenza viral infection in aged mice, suggesting additional factors at play in the diminished vaccine response in aged hosts. This underscores the importance of the macrophage-driven muscle regenerative response in the mechanism of action for squalene-based adjuvants like AddaVax and emphasizes the need to study how muscle damage and regenerative pathways in intramuscular vaccine responses contribute to vaccine effectiveness.
A Visual Circuit Linked To The Lateral Hypothalamus Mediates The Food Consumption-Suppressing And Weight Gain-Attenuating Effects Of Bright Light Treatment
Authors: Huang Lu , Li Wen , Huang Xiaodan , Xu Xiaohuai , Lv Qingguo , Wu Jijin , Hu Zhengfang , Li Ran , Yang Yan , Yu Lijie , Liu Bingjie , Song Li , Xi Yue , So Kwok-Fai , Lin Song , Tao Qian , Ren Chaoran
Published: January 2025

In addition to its well-established role in vision, environmental light also plays a crucial role in non-image-forming visual functions, including the regulation of instinctive behaviors such as feeding. Clinical evidence suggests that bright light therapy can alleviate symptoms in individuals with obesity. However, the neural mechanisms underlying the influence of light on feeding behaviors remain poorly understood. In this study, we demonstrate that bright light treatment effectively reduces food intake and mitigates weight gain in mice through a visual circuit involving the lateral hypothalamic area (LHA). Specifically, a subset of SMI-32-expressing ON-type retinal ganglion cells (RGCs) innervate GABAergic neurons in the ventral lateral geniculate nucleus (vLGN), which in turn inhibits GABAergic neurons in the LHA. Activation of both vLGN-projecting RGCs and the vLGN-to-LHA pathway is sufficient to suppress food consumption and attenuate weight gain. Importantly, we provide direct evidence that the suppressive effects of bright light treatment on food consumption and weight gain rely on the activation of the retina-vLGN-LHA pathway. Together, our results delineate an LHA-related visual circuit underlying the food consumption-suppressing and weight gain-attenuating effects of bright light treatment.
High-Throughput Machine Learning and Experimental Validation Unveils Giant Responsivity for Extreme Ultraviolet Detectors
Authors: Shabbir Babar , Ayyubi Raja Abdul Wahab , Low Mei Xian , Salimi Salar , Khorsandi Majid , Hossain Mosarof , Arooj Hurriyat , Masood Shoaib , Zeb M. Husnain , Mahmood Nasir , Bao Qiaoliang , Walia Sumeet
Published: January 2025

Identifying materials with optimal optoelectronic properties for targeted applications represents both a critical need and a persistent challenge in optoelectronic device engineering. Machine learning models often depend on extensive datasets, which are typically lacking in specialized research domains such as extreme ultraviolet (EUV) radiation detection. Here, we demonstrate a Cross-Spectral Response Prediction framework that leverages existing visible and ultraviolet (UV) photoresponse data to predict much more efficient material’s performance under EUV radiation. Our predictive model, based on Extremely Randomized Trees, correlates physical descriptors with performance across spectral regions using a comprehensive dataset of 1385 samples. Through this approach, we identified promising materials such as α-MoO3, ReS2, Bi2Te3, and SnO2, achieving giant responsivities of 15 to 40 A/W, exceeding conventional silicon photodiodes by 800 times in EUV sensing applications. Monte Carlo simulations revealed double electron generation rates (~2×106 electrons per million EUV photons) compared to silicon, with experimental validation confirming the effectiveness of our prediction framework for accelerating the discovery of other high performing materials for diverse spectral applications.
Association of both depressive symptom scores and specific depressive symptoms with all-cause mortality and cardiovascular mortality among participants with chronic kidney disease
Authors: Zhou Qiao , Tang Xinyu , Du Haibo , Chen Gaojian , Xue Song , Chen Yahui
Published: January 2025

Background
Most research has focused on overall depressive symptom scores, potentially overlooking the distinct effects of individual symptoms. This study aims to investigate the association between both depressive symptom scores and specific depressive symptoms with all-cause and cardiovascular disease (CVD) mortality among participants with chronic kidney disease (CKD).
Methods
2981 participants with CKD, aged 18 years old, were enrolled from NHANES from 2007 to 2014. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). The total PHQ-9 score ranges from 0 to 27, with higher scores indicating greater severity of depressive symptoms. The primary outcomes were all-cause mortality and CVD mortality. Weighted COX regression was used to analyze association of both depressive symptom scores and specific depressive symptoms with all-cause mortality CVD mortality.
Results
After an average follow-up of 92 months, 932 deaths among 2981 participants with CKD were recorded, of which 332 were CVD deaths. The RCS plot showed a linear relationship between depressive symptom scores and all-cause (nonlinear P-value = 0.346) and CVD mortality (nonlinear P-value = 0.177). After full adjustment for potential confounders, every 1-point increase in depressive symptom score was associated with a 4% and 5.4% increase in all-cause (HR, 1.040; 95% CI, 1.020-1.060; P-value <0.001) and CVD mortality (HR, 1.054; 95% CI, 1.027-1.081; P-value <0.001), respectively. Additionally, 6-items (Uninterested in things, Feeling down, Tiredness, Change of appetite, Change in speed of action, and Suicidal ideation) in the PHQ-9 were independently associated with all-cause mortality. Similarly, 3-items (Uninterested in things, Feeling down, and Tiredness) were significantly associated with CVD mortality. There was no significant interaction between depressive symptom scores and all-cause and CVD mortality in any subgroup (all P-values for interaction > 0.05). Sensitivity analysis also further confirmed the stability of the above results.
Conclusions
The elevated depressive symptom scores were significantly associated with an increased risk of all-cause and CVD mortality in participants with CKD. Furthermore, 6 specific depressive symptoms were associated with a high risk of all-cause death, and 3 specific depressive symptoms were associated with a high risk of CVD death.
Investigation of the Dengue Arbovirus in the Cities of Bushehr Province through Human Blood Sampling
Authors: Abbasi Ebrahim , Moemenbellah-Fard Mohammad Djaefar , Alipour Hamzeh , Azari-Hamidian Shahyad , Darabi Amirhossein , Azizi Kourosh , Darvishi Mohammad
Published: January 2025

Dengue fever, caused by the dengue virus and spread mainly by Aedes mosquitoes, is a significant public health concern in tropical regions. Bushehr Province in southern Iran, with its conducive climate for mosquito breeding, shows limited data on dengue prevalence, prompting this study. Researchers conducted a study across ten cities in Bushehr, collecting blood samples from 180 participants to detect dengue-specific antibodies through ELISA testing. Results revealed a prevalence rate of 2.78%, with positive cases found in Bushehr, Dashtestan, and Tangestan, indicating localized transmission. These findings highlight the risk of dengue outbreaks and emphasize the need for ongoing surveillance, vector control, and public education. Further research is needed to enhance understanding and inform health policies.
Unraveling the genomic architecture of supernumerary (iso-) dicentric chromosomes in Dup15q syndrome: Insight from a systematic literature-based study
Authors: Burkart Sebastian , Ries Markus , Romero Verena , Burau Karin , Schaaf Christian P. , Hempel Maja
Published: January 2025

Chromosomal aberrations, particularly copy-number variations (CNVs), are prevalent in neurodevelopmental disorders (NDD) and significantly contribute to their pathogenesis. Copy-number gains (CN gains) in 15q11-q13, primarily consisting of a pseudo (iso-)dicentric chromosome 15 [ (i)dic(15) ] or an interstitial duplication, are among the most frequent CNVs in NDD. The associated Dup15q syndrome is an early onset neurodevelopmental disorder characterized by global developmental delay, behavioral issues, and seizures with a variable onset and expression of symptoms. While a correlation between number of 15q11-q13 CN gain and symptom severity has been proposed, it fails to fully explain the wide phenotypic variability observed. We conducted a comprehensive systematic literature-based analysis of the supernumerary (i)dic(15), generating the largest literature-based cohort consisting of patient-level genotype data for Dup15q syndrome to date. Our findings identified symmetric BP3:BP3 and asymmetric BP4:BP5 (i)dic(15) configurations as the most common (i)dic(15) formations, likely arising from distinct mechanisms and potentially driving characteristic genotype-phenotype outcomes. Additionally, we identified a significant gap within the molecular characterization of (i)dic(15), particularly regarding information on nucleotide-level breakpoint, genomic structure, and differentially imprinted genes, being important aspects for genotype-phenotype predictions. Our findings provide critical insight into the molecular architecture of (i)dic(15), offering valuable implications for understanding pathomechanisms and guidance for future research into the molecular and clinical aspects of Dup15q syndrome.
Three-dimensional lower limb kinematics and kinetics in femoroacetabular impingement syndrome (FAIS) patients with and without borderline developmental dysplasia of the hip (BDDH) during level walking
Authors: Hao Yuang , Ren Shuang , Zhu Yichuan , He Tong-Chuan , Miao Xin , Xu Yan
Published: January 2025

Purpose
The impact of femoroacetabular impingement syndrome (FAIS) on gait has been reported; however, no studies have documented the effects of Borderline Developmental Dysplasia of the Hip (BDDH) combined with FAIS on gait. This study aimed to evaluate the kinematic and kinetic abnormalities of the lower extremities in patients with combined FAIS and BDDH during level walking.
Methods
A total of 42 participants were included, consisting of 14 patients with FAIS + BDDH, 14 with isolated FAIS and 14 healthy controls. Full-cycle kinematic and kinetic data were collected via motion capture and force plates. Gait analysis was performed in three planes (sagittal, coronal and transverse) for the hip, knee, ankle and pelvis joints. The range of motion (ROM), kinematics and kinetics were compared across the three groups.
Results
Compared with isolated FAIS patients, FAIS + BDDH patients presented a significantly greater hip flexion angle during terminal stance and significantly smaller hip extension angles during preswing (P < 0.05). Moreover, the hip abduction moment was significantly reduced in the loading response and midstance phases in FAIS + BDDH patients (P < 0.05). The knee extension moment was significantly reduced during terminal stance in both FAIS groups (P < 0.05). The ankle dorsiflexion angle was significantly greater during midstance in FAIS + BDDH patients than in healthy controls, with concomitant reductions in the ankle dorsiflexion moment (P < 0.05). No significant differences were found in the range of motion (ROM) of the pelvis or hip joints among the three groups (P > 0.05).
Conclusion
Compared with patients with isolated FAIS, patients with FAIS combined with BDDH exhibit a gait pattern characterized by biomechanical defects of the hip joint similar to developmental dysplasia of the hip (DDH), increased knee stiffness, and compensatory alterations in the ankle joint.
Level of evidence:V.
Multiple Ischemic Strokes in a Patient Treated with Lecanemab: A Case Report
Authors: Alammar Hajar , Llano Daniel A
Published: January 2025

Background
Amyloid-lowering therapy has been previously associated with the formation of cerebral edema and/or microhemorrhage, often picked up on MRI and referred to as amyloid-related imaging abnormalities, or ARIA.
Case presentation:
We describe a case of a patient with Alzheimer’s Disease treated with the amyloid-lowering drug lecanemab who developed both ARIA-H and ARIA-E, and multiple ischemic infarctions.
Conclusion
This finding, in conjunction with previous reports of ischemic infarction in the setting of anti-amyloid therapy, suggests that amyloid-lowering therapy may predispose individuals to both hemorrhagic and ischemic infarction. This result is discussed in the context of microvascular pathology known to occur in the setting of Alzheimer’s Disease.
Beryllium-Vacancy Color Centers in Diamonds: a Candidate Quantum Spin Sensor
Authors: Xu Jiajun , Zou Diwei , Lu Tengfei , Liao Meiyong , Janssens Stoffel Dominique , Cortes David Vazquez , Li Lijie , Chen Qiao , Wu Gai , Shen Wei
Published: January 2025

Diamond color centers represent distinctive solid-state spin systems with unique spintronic and optical properties, making them promising candidates for applications in nanoscale quantum sensors, single-photon sources, and quantum information. In this study, density functional theory is employed to investigate the potential of the beryllium-vacancy (BeV) color center in diamonds, focusing on its spintronic and optical properties. The formation energy of BeV in different charge states suggests that BeV2−, BeV−, BeV0 can form in diamond. The geometry optimization of these structures reveals that all possess C3v symmetry. However, the calculations of electron spin occupation shows that only BeV2− possesses a state spin-triplet ground state, which is located deeply inside the bandgap of pristine diamond lattice. The optical transitions and spin flipping mechanisms of BeV2− are simulatively studied, revealing a prominent zero-phonon line (ZPL) at 582 nm, well within the visible light range. The effects of electron donors on the ZPL have also been explored as a confirmation in a doped system. These calculations demonstrate that BeV2− is a potential candidate for color center. This work may pave the way for future experimental investigations into the identification and characterization of the BeV center, as well as its potential applications in alternative nanoscale quantum sensors.
Saudi Healthy Plate-2024: Framework for Developing, Modeling, and Evaluating Saudi Arabia’s Dietary Guidelines
Authors: Alhumaidan Omar A. , Alkhunein Sarah M. , Alakeel Shihana A. , Fallata Ghadir A. , Aldhwayan Madhawi M. , Alfaifi Asalah Y. , Albalwi Wala M. , AlZeer Haya
Published: January 2025

Background Non-communicable diseases (NCDs) are a leading cause of global mortality, accounting for 71% of deaths annually, with similar trends observed in Saudi Arabia. The Saudi Healthy Plate 2024 (SHP-2024) was developed by the National Nutrition Committee of the Saudi Food and Drug Authority to address the population's nutritional needs and reduce the burden of NCDs. SHP-2024 provides balanced and culturally appropriate dietary recommendations.Methods SHP-2024 was designed using optimization modeling techniques, incorporating global best practices, expert consultations, and rigorous validation processes. The dietary patterns were calibrated to ensure nutritional adequacy and economic feasibility. Monte Carlo simulations with 10,000 iterations were used to evaluate nutrient intake adequacy across various calorie levels (1,600–3,200 kcal). Nutritional constraints and economic assessments adhered to Saudi regulatory standards and data from the General Authority for Statistics.Results SHP-2024 meets the average requirements for most macronutrients and micronutrients, including protein, iron, and phosphorus, across all calorie patterns. However, deficiencies in vitamin E and choline intakes were identified. The guidelines demonstrated scalability and flexibility, adapting to varying caloric requirements while maintaining nutritional balance. Cost analysis revealed affordability, with diet costs ranging from 380.7 to 762.7 SAR, ensuring accessibility for the population.Conclusions SHP-2024 represents a significant step in addressing NCDs through optimized dietary guidance tailored to Saudi Arabia’s needs. This intervention is effective in meeting most nutritional targets; however, addressing gaps in certain nutrients remains a priority for future iterations. These guidelines provide a robust foundation for public health strategies, fostering improved dietary practices and reducing the economic burden of NCDs.
Comparison of Computerized Dynamic Posturography and Functional Head Impulse Test Scores Obtained after 30 Minutes of Hatha Yoga Practice and Resistance-Based Aerobic Exercise in Adult Female Yoga Practitioners
Authors: Aras Çağla , Bolat Kübra Binay , Önlü Aysberg Şamil , Aran Mine Baydan , Aras Dicle
Published: January 2025

Objective; The purpose of this study was to investigate the immediate effects of a thirty-minute session of Hatha yoga and a thirty-minute session of resistance-based aerobic exercise on balance and vestibulo-ocular reflex in adult female yoga practitioners. Equipment and Methods; Ten participants underwent balance and vestibulo-ocular reflex assessments at rest, after Hatha yoga, and after resistance-based aerobic exercise. Balance was measured using computerized dynamic posturography, and vestibulo-ocular reflex was evaluated with a functional head impulse test. The Hatha yoga session included twenty-five minutes of yoga poses followed by five minutes of relaxation. The aerobic exercise session was performed at an intensity of seventy to seventy-five percent of heart rate reserve. Results; No significant changes were observed in vestibulo-ocular reflex parameters across conditions. However, balance scores showed significant improvements following resistance-based aerobic exercise compared to both resting and post-yoga conditions. The somatosensory and visual system scores increased significantly after resistance-based aerobic exercise, as did the overall balance score. Lower body weight, lean body mass, and total body water were positively associated with better balance outcomes. Conclusion; While neither Hatha yoga nor resistance-based aerobic exercise acutely influenced vestibulo-ocular reflex, resistance-based aerobic exercise had immediate positive effects on balance and postural stability.
The Role of Triple CFTR Modulator Therapy in Reducing Systemic Inflammation in Cystic Fibrosis
Authors: García Marta Solís , Madrid-Carbajal Claudia Janeth , Laderas Adrián Peláez , Moreno Rosa María Girón , Alonso Esther Ferreira , García Belén Prieto , Punter Rosa Mar Gómez , Bermúdez Julio Ancochea , Bachiller Jose María Eiros , Clemente Marta María García
Published: January 2025

Purpose: Cystic fibrosis (CF) is a genetic disease caused by mutations in the CFTR gene, leading to multisystemic complications, particularly in the lungs. CFTR dysfunction results in altered ion transport, chronic inflammation, and progressive lung damage. The triple therapy elexacaftor/tezacaftor/ivacaftor (ETI) has demonstrated significant improvements in pulmonary function and quality of life. This study aimed to evaluate the anti-inflammatory effects of ETI by analysing systemic cytokine profiles over 12 months.
Methods: A prospective study included 32 CF patients ≥18 years with at least one F508del mutation, undergoing ETI therapy. Clinical stability was ensured prior to therapy initiation. Demographic data, BMI (Body Mass Index), FEV1% (Forced expiratory Volume in the first second), VR/TLC (residual volume/total lung capacity) and sweat chloride concentrations were recorded at baseline, 6 months and 12 months. Inflammatory markers, including fibrinogen, C-reactive protein (CRP), and a panel of 8 cytokines, were measured using multiplex bead-based immunoassays and electrochemiluminescence. Longitudinal changes were analysed using mixed-effects models and statistical tests, with significance set at p < 0.05.
Results: During a 12-month follow-up, the neutrophils number and proinflammatory biomarkers analyzed, fibrinogen, CRP, TNF- α, IFN-gamma, IL-1 alpha, IL-1 beta, IL-6, IL-8, IL-12, IL-17, significantly decreased, while eosinophils remained stable. Mixed-effects models confirmed the significant association of inflammatory biomarkers with FEV1, BMI, sweat chloride levels, and VR/TLC highlighting the role of inflammation in the progression of CF.
Conclusions: ETI demonstrated marked anti-inflammatory effects in CF patients, reducing systemic inflammation and improving clinical parameters.
2-Chloroethanol Induces Hepatic Toxicity by Disrupting Endoplasmic Reticulum Homeostasis Ameliorated by Dimethyl Sulfoxide
Authors: Chou Tzung-Hsin , Hu Min-Hsiu , Hua Kuo-Tai , Fang Cheng-Chung
Published: January 2025

2-Chloroethanol (2CE), a metabolite of ethylene oxide (EO), vinyl chloride (VC), and 1,2-dichloroethene (1,2-DCE), has an unclear toxic mechanism, complicating effective treatment of poisoning. This study examined the impact of acute 2CE exposure on endoplasmic reticulum (ER) homeostasis in liver cells. A single intraperitoneal injection of 130 mg/kg 2CE (approximately LD50) in mice caused severe liver damage and steatosis, along with increased ER stress and activation of the unfolded protein response (UPR) and autophagy. In H4IIEC3 rat hepatocytes, 2CE activated all three UPR pathways—IRE1, PERK, and ATF6—at both the gene and protein levels, and induced lysosomal accumulation, lipid droplet formation, and apoptosis. Among chemical chaperones tested, dimethyl sulfoxide (DMSO, 0.1–0.6%) showed the most potent therapeutic effects, reducing misfolded protein accumulation, alleviating ER stress, and suppressing apoptosis, even when autophagy was inhibited. These findings reveal that 2CE disrupts protein and lipid homeostasis in hepatocytes and highlight DMSO as a promising therapeutic agent for 2CE-induced toxicity.
USFF: A Unified Sales Forecasting Framework with Fourier-Enhanced Decomposed Net
Authors: Li Qianyang , Zhang Xingjun , Wang Shaoxun , Cao Jiawei , Tao Peng
Published: January 2025

With the widespread adoption of big data science, the retail industry has seen an increasing demand for data-driven decision-making. As a critical task within the sector, product sales forecasting faces significant challenges. Traditional statistical methods are limited by their reliance on assumptions of data stationarity, while DL and ML techniques enhance accuracy but struggle to fully address complex features such as temporal dependencies, nonlinear trends, and external influences. No single method proves universally effective across all scenarios. To tackle these challenges, this paper introduces a Unified Sales Forecasting Framework (USFF) for vending machine sales prediction, which integrates statistical methods, machine learning, and deep learning techniques. By classifying data based on statistical features and employing multi-model fusion strategies, the USFF framework effectively captures the complex nature of sales data, significantly improving prediction accuracy by leveraging the strengths of various models. Furthermore, the paper presents a novel deep learning forecasting model, FEDNet (Fourier-Enhanced Decomposed Net), designed to address the dynamic dependencies and seasonal patterns inherent in long time series. FEDNet offers substantial advantages in capturing long-term dependencies and dynamic changes in time series data through the integration of reversible instance normalization, seasonal-trend decomposition, and Fourier decomposition.Experiments conducted on over 30 million real-world data points, along with five public datasets, demonstrate that the proposed framework and deep learning model outperform baseline methods across multiple evaluation metrics, confirming their effectiveness and reliability. The proposed framework and algorithm have been successfully implemented in a retail company in China, providing valuable business decision-making support for operational strategies.
Sentiment Analysis of Imbalanced Dataset through Data Augmentation and Generative Annotation using DistilBERT and Low-Rank Fine-Tuning
Authors: Nasrabadi Hossein Nekkouei , Moattar Mohammad Hossein
Published: January 2025

This paper proposes a novel approach to sentiment analysis of imbalanced datasets, focusing on data augmentation and efficient fine-tuning. We address the challenge of limited minority class representation by leveraging GPT-4 to generate synthetic tweets via paraphrasing and back- translation (using Italian as an intermediary language). Furthermore, the main contribution is that we utilize GPT-4 to annotate tweets with positive reasons, derived by inverting the ten predefined negative categories within the dataset. The augmented dataset trains a DistilBERT model for sentence embeddings, and Low-Rank Adaptation (LoRA) enables efficient fine-tuning. A SoftMax layer provides classification into positive, neutral, and negative sentiments. Experiments on the Twitter US Airline Sentiment dataset demonstrate our approach’s efficacy, achieving 100% accuracy with minimal training time, highlighting the importance of data augmentation and efficient fine-tuning for robust sentiment analysis, particularly with imbalanced datasets.
Association between Digestive Diseases, Nighttime Sleep, and Depressive Symptoms among the Middle-aged and Elderly Adults: A Mediation Analysis
Authors: Cheng Congcong , Guo Dinghui , Cao Xu , Wang Dingmin , Li Wenling , Miao Bei , Fei Sujuan
Published: January 2025

Backgrounds:
As the population ages, the relationship among digestive diseases, nighttime sleep duration, and depressive symptoms in middle-aged and elderly adults, especially sleep's mediating role, remains unclear, thus prompting research.
Aims
To explore how nighttime sleep duration mediates between digestive diseases and depressive symptoms in this group, aiming to guide clinical treatment of related depression.
Methods
Using 2015–2020 China Health and Retirement Longitudinal Study (CHARLS) data, we applied difference, Spearman correlation, and multivariate logistic regression analyses. A mediating effect model was set up and tested via the Bootstrap method.
Results
Digestive diseases had a 23.05% prevalence rate, and depressive symptoms had a 35.90% detection rate. Both digestive diseases (OR = 1.55, 95% CI: 1.38–1.73) and insufficient nighttime sleep (OR = 2.17, 95% CI: 1.97–2.40) significantly affected depressive symptoms. The model showed that insufficient nighttime sleep had a partial mediating effect.
Discussion
Clinically, treating relevant patients requires a holistic approach with an emphasis on sleep. Future research should use objective measures and longitudinal studies to clarify mechanisms and causalities.
Conclusion
Digestive diseases can cause insufficient sleep, promoting depressive symptoms. Clinicians should not overlook sleep quality when treating digestive patients with comorbid depression, as improving sleep may relieve symptoms.
Effect of textures on oxygen reduction electrocatalysis by self-supporting Fe-N-C materials from a universal template synthesis
Authors: Hu Linwei , Ma Hongru , Meng Ziwei , Li Peng , Xiang Kun , Xue Tong , Yan Xiang-Hui
Published: January 2025

Self-supporting Fe-N-C materials with certain ordered mesopores were synthesized through confined carbonization, alkali etching and final anneal by utilizing mesoporous silicas with varied textural properties, polymerized aniline and iron chloride as the hard template, carbon/nitrogen and iron precursors, respectively. These duplicated Fe-N-C materials have orderly mesoporous structure with large pore diameter, pore volume and specific surface area. As a result, all of them showed excellent electrocatalytic activity towards oxygen reduction reaction (ORR) in 0.1 M KOH with 4-electron pathway and half-wave potential (E1/2) > 0.82 V vs. RHE, indicating that the nano-casting method using mesoporous silicas as the hard template is a universal approach for constructing highly active Fe-N-C catalysts. The activity order of PANI-Fe-HT2(MCF) > PANI-Fe-HT2(MCM-48) ≈ PANI-Fe-HT2(KIT-6) > PANI-Fe-HT2(SBA-15) > PANI-Fe-HT2(MCM-41) suggests that the three dimensional (3D) interconnected mesoporous structure of hard templates (MCF, MCM-48 and KIT-6) is generally more favorable for fabricating high-performing Fe-N-C materials. The highest onset potential (Eonset) and E1/2 obtained on the PANI-Fe-HT2(MCF) reached 0.99 and 0.86 V, respectively, which even slightly surpass those of commercial Pt/C catalyst, probably shedding light on the additional contribution of the unique pore structure (large window diameter and spherical chamber) duplicated from the MCF to further enhancement of ORR activity. The PANI-Fe-HT2(MCF)-based zinc-air battery delivered impressing power density (116.26 mW cm-2) and specific capacity (788 mAh gZn-1) as well, completely rivaling the Pt/C-based ZAB. The universal method will hold great promise for exploiting efficient Fe-N-C materials for ORR towards their practical applications to device.
Nano-Fertilizers for Improving Yield in Maize Plants under Calcareous Soil Conditions to Achieve Sustainability
Authors: Sary Dalal H. , El-Aziz Mahmoud E. Abd
Published: January 2025

Agriculture in calcareous soil suffers from many problems such as high calcium carbonate content, low organic matter, and poor availability of elements. In the summer of two seasons 2022 and 2023, the maize crop (Zea mays, L) was planted in the El-Nubaria Agricultural Research Station farm, Egypt, to study the effect of nano-micronutrient fertilizers. The field experiment was done through a randomized completely block design with treatments: Control, Nano-Zn 20 mg/l, Nano-Zn 40 mg/l, Zn-chelate 2 g/l, Nano-Mn 20 mg/l, Nano-Mn 40 mg/l, Mn-chelate 2 g/l, Nano-Mo 20 mg/l, Nano-Mo 40 mg/l and ammonium molybdate 250 mg/l. X-ray diffraction (XRD) and transmission electron microscopy (TEM) were used to analyze the synthesized nano-micronutrient fertilizers. The data showed that 40 mg/l of nano-micronutrient fertilizer was the most effective treatment for most studied traits. Nano-fertilizer (NFs) also demonstrated better preference than traditional fertilizer for each of the growth characteristics, corn productivity, the content of elements in the plant, and their availability in the soil. The application of NFs containing molybdenum to corn grains resulted in a higher positive protein and nitrogen content. The content of zinc, manganese, and molybdenum in corn leaves and grains and their availability in calcareous soil was more stimulated with the treatments of nano-micronutrient and traditional fertilizers containing the same element with all concentrations of doses.
Photoselective isotope fractionation dynamics in cosmo and atmospheric chemistry
Authors: Levine Raphael
Published: January 2025

Photochemical isotope effects have been measured for nearly 50 years with the driving force being the understanding of natural processes. This has ranged from climate and atmospheric chemistry and dynamics, planetary atmospheres such as Mars, Titan and Jupiter, consequences for resolving solar system formation mechanisms, interstellar molecular clouds, solar wind and meteorites. 1,2 The distribution of isotopomers of compounds varies significantly across the solar system and beyond, invalidating the notion of a constant molecular weight.3 Nitrogen, with two stable isotopes, exhibits wide-ranging isotope ratios that arise from different sources across the solar system.4-11 We seek to understand variability by explicitly examining the dynamics of photodissociation. The paper integrates measurements of photodissociation of N2 at the advanced-light-source via scavenging of the nascent N atoms and state of the art dynamics modeling, including preferential light shielding.12-14 We show that the exceptionally high nitrogen isotopic fractionation underscores the essential role of dynamics in interpreting photoselectivity and its dominant non-statistical aspects that we establish. High level quantum chemical computations of the relevant potentials and of their different selective couplings that vary in magnitude are vital input towards our demonstrating photoselective chemistry. Beyond N2, our approach is equally applicable for elucidating the isotope ratio reported for CO.15,16 The findings support planetary exploration models, including NASA's Artemis missions, where nitrogen isotopic studies of the lunar and Martian surfaces are crucial for understanding water sources and volatile chemistry.
Study of Phenotypic and Molecular Approaches of Potyvirus plumpoxi Resistance Evaluation in New Czech Apricot Hybrids
Authors: Zezulová Eliška , Kiss Tomáš , Baránková Kateřina , Nečas Tomáš
Published: January 2025

This study investigates the resistance of 17 apricot hybrids to Potyvirus plumpoxi (PPV) with the use of phenotyping, serological assays [double-antibody-sandwich enzyme-linked immunosorbent assay (DAS-ELISA)], and molecular marker analyses. The expression of symptoms expression was evaluated on four occasions throughout the course of the experiment, while the presence of the virus in the plant was diagnosed by DAS-ELISA. In addition, the genotyping with simple sequence repeat (SSR) markers (PGS1.21, PGS1.23) and ParPMC2 allele-specific polymerase chain reaction (PCR) for the purpose of evaluating PPV resistance. A total of five new apricot hybrids were evaluated as resistant to PPV, while five hybrids exhibited resistance despite the presence of some PPV symptoms. In addition, three hybrids demonstrated genotype-phenotype incongruences (GPIs). The statistical analysis revealed a significant relation between PPV-positive plants and the absence of resistance-associated alleles, confirming that allelic composition is strongly associated with phenotypic resistance. The average value of symptoms evaluation was 0.3 ± 0.1 for resistant hybrids and 1.7 ± 0.3 and 1.5 ± 0.4 for susceptible hybrids evaluated by PGS1.21 and PGS1.23, respectively. The Tukey’s honestly significant difference (HSD) test showed the significant difference between genotypes evaluated by ParPMC2 marker as “RR” and “RS” (resistant) from “SS” (susceptible). However, discrepancies in hybrid resistance evaluation highlight the complexity of inheritance and the potential errors in genotyping. These results indicate that the most reliable method for evaluating PPV resistance is the time-consuming phenotyping method. Conversely, the use of SSR markers greatly improves the effectiveness of breeding.
Restaurant Atmosphere and Behavioral Intention
Authors: Özata Şahin Esra , Yazıcıoğlu İrfan
Published: January 2025

The concept of atmosphere, which refers to the design of the purchasing environment, aims to create certain emotions that increase the consumer's purchase intention. The atmosphere of any business in question can be effective in consumers' restaurant preferences. In order to gain an advantage in a competitive environment, businesses can provide customer satisfaction by conducting studies on the atmosphere. Therefore, controlling consumer behavior has become extremely important. At this point, the concept of behavioral intention formation, which is the output of consumers' purchasing process, emerges. Behavioral intention can be estimated by consumer behavior, consumers' attitudes towards behavior, subjective norms regarding behavior, and perceived control over performing the behavior. Examining the effect of restaurant atmosphere on behavioral intention after purchase is one of the factors of strategic importance for businesses. In this context, the purpose of the research is to reveal the effect of restaurant atmosphere on behavioral intention after purchasing the service. The survey form, which was created as a result of the literature review, was used as the data collection tool in the research. The research population consists of customers of Tourism Operation Certificated Restaurants operating in Ankara. Descriptive statistics CFA (Confirmatory Factor Analysis) and SEM (Structural Equation Model) analyses were used in the evaluation of data and hypotheses. According to the findings obtained as a result of the analysis, all hypotheses created for the restaurant atmosphere dimensions (facility aesthetics, ambiance, lighting, layout and employees/personnel) were supported according to the research results. When the effect coefficients of the sub-dimensions of the restaurant atmosphere scale are examined, it is seen that the highest effect is in the "layout" dimension and the lowest effect is in the "facility aesthetics" dimension. It was determined that the restaurant atmosphere has a significant and positive effect on behavioral intention.