bluuebunny/crossref_metadata_2025_split huggingface dataset:
Delineation of Management Zones for Site‐Specific Soil Nutrient Management for Sustainable Crop Production
Authors: Shukla Arvind Kumar , Behera Sanjib Kumar , Kumar Pardeep , Mishra Rahul , Shukla Vimal , Pachauri Satya Pratap , Sikaniya Yogesh , Srivastava Prakash Chandra , Sikarwar Akanksha , Kumar Dileep , Datta Siba Prasad 
Published: October 2024

ABSTRACTSoil nutrients deficiencies are one of the major causes of soil degradation in different parts of World, adversely impacting crop production. Delineation of soil nutrients management zones (MZs) is one of the commonly used techniques for evaluating spatial distribution pattern of soil parameters for adoption of site‐specific nutrient management. We, therefore, conducted the present study to understand the spatial distribution pattern of soil nutrients and their associated soil properties, and to delineate soil nutrients MZs in a north‐western Indian Himalayan (NWIH) region. A total of 18,930 representative surface (0–15 cm depth) soil samples were collected and processed. The processed soil sample were analyzed for pH, and electrical conductivity (EC), soil organic carbon (SOC), available N (AN), available P (AP), available potassium (AK), exchangeable Ca (Ex. Ca), exchangeable Mg (Ex. Mg), available S (AS), available Zn (AZn), available Fe (AFe), available Cu (ACu), available Mn (AMn) and available B (AB). The values of studied soil parameters varied widely with coefficient of variation ranging from 11.8% to 156%. Semivariogram analysis revealed stable, exponential and Gaussian best‐fit models for different soil parameters with weak (AP and AB), moderate (rest of soil parameters) and strong (AS) spatial dependence. Varied distribution pattern of soil parameters was visualized from ordinary kriging interpolation. Five soil nutrient management zones (MZs) were identified (using fuzzy performance index and normalized classification entropy values) by employing the techniques of principal component analysis and fuzzy c‐means clustering. Principal components with Eigen value > 1 were considered for further analysis. The soil parameters of identified MZs differed significantly. Thus, the study highlighted the usefulness of MZ delineation technique for site‐specific soil nutrient management in different cultivated areas for sustainable crop production. The developed MZ maps could suitably be used for efficient management of agronomic inputs especially fertilizer nutrients for improved environmental and economic efficiency.
Rod‐Like Microcrystal Scintillators Based on Organic–Inorganic Hybrid Copper Halides for X‐Ray Imaging
Authors: Cui Haixia , Yan Yurou , Feng Zhe , Zhu Yongkang , Feng Yuhui , Liu Shujuan , Zhao Qiang 
Published: October 2024

AbstractCopper‐based organic–inorganic hybrid halides (OIHHs) have garnered significant interest in X‐ray imaging due to their flexible structural adjustability, efficient light emission, strong X‐ray absorption, etc. Herein, four copper‐based OIHH crystals composed of the same organic ligands (isopropyl triphenylphosphonium cations, IPP+) and inorganic parts (Cu2I42−) are synthesized by varying the ratios of raw materials and types of reaction solvents. Although these crystals share identical structures, they exhibit different luminescent behaviors (blue, green, white, and yellow) attributed to vacancy defects originating from CuI. Notably, the novel copper‐based OIHH (CP2) with green emission shows the best luminescence efficiency (99.54%) and excellent scintillation performance (50675 photons MeV−1). The traditional technology of scintillation screens mixing scintillator powders and polymers often results in light scattering due to powder aggregation and inhomogeneity. To address this challenge, the dispersant polyvinyl pyrrolidone is introduced to prepare uniform rod‐like microcrystals of CP2. The scintillation screen based on CP2 microcrystals achieves a high spatial resolution of 16–18 lp mm−1, surpassing the resolution of most copper‐based OIHH scintillators. Furthermore, it is imaging capabilities are validated using a commercial X‐ray flat panel detector, demonstrating imaging performance comparable to that of commercial scintillators.
Impaired Gait, Postural Instability, and Rigidity in Relation to CB1 Receptor Availability in Parkinson's Disease
Authors: Ajalin Riikka , Al‐Abdulrasul Haidar , Tuisku Jouni M. , Hirvonen Jussi , Lahdenpohja Salla , Rinne Juha O. , Brück Anna 
Published: October 2024

AbstractBackgroundIn Parkinson's disease (PD), postural instability and gait disorder (PIGD) symptoms are associated with a worse prognosis for an unknown reason.ObjectiveThe objective was to explore the relationship between cannabinoid receptor type 1 (CB1R) availability and motor symptoms in PD with [18F]FMPEP‐d2 positron emission tomography (PET).MethodsFifteen individuals with PD underwent [18F]FMPEP‐d2 PET to measure cerebral CB1R availability. The Unified Parkinson's Disease Rating Scale motor part (UPDRS‐III) was used to evaluate the motor symptoms.ResultsA negative correlation was observed between [18F]FMPEP‐d2 VT and PIGD score (P = 0.002) as well as rigidity subscore (P < 0.001). Both clusters covered widespread areas of both hemispheres. In contrast, tremor or bradykinesia did not correlate to [18F]FMPEP‐d2 VT.ConclusionsGait, postural instability, and rigidity in PD are associated with decreased CB1R availability, unlike tremor or bradykinesia, suggesting that the endocannabinoid system has a role in the pathophysiology of different motor symptoms in PD. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Comprehensive quantitative magnetic resonance imaging assessment of skeletal muscle pathophysiology in golden retriever muscular dystrophy: Insights from multicomponent water T2 and extracellular volume fraction
Authors: Caldas de Almeida Araujo Ericky , Barthélémy Inès , Fromes Yves , Baudin Pierre‐Yves , Blot Stéphane , Reyngoudt Harmen , Marty Benjamin 
Published: October 2024

AbstractQuantitative MRI and MRS have become important tools for the assessment and management of patients with neuromuscular disorders (NMDs). Despite significant progress, there is a need for new objective measures with improved specificity to the underlying pathophysiological alteration. This would enhance our ability to characterize disease evolution and improve therapeutic development. In this study, qMRI methods that are commonly used in clinical studies involving NMDs, like water T2 (T2H2O) and T1 and fat‐fraction (FF) mapping, were employed to evaluate disease activity and progression in the skeletal muscle of golden retriever muscular dystrophy (GRMD) dogs. Additionally, extracellular volume (ECV) fraction and single‐voxel bicomponent water T2 relaxometry were included as potential markers of specific histopathological changes within the tissue. Apart from FF, which was not significantly different between GRMD and control dogs and showed no trend with age, T2H2O, T1, ECV, and the relative fraction of the long‐T2 component, A2, were significantly elevated in GRMD dogs across all age ranges. Moreover, longitudinal assessment starting at 2 months of age revealed significant decreases in T2H2O, T1, ECV, A2, and the T2 of the shorter‐T2 component, T21, in both control and GRMD dogs during their first year of life. Notably, insights from ECV and bicomponent water T2 indicate that (I) the elevated T2H2O and T1 values observed in dystrophic muscle are primarily driven by an expansion of the extracellular space, likely driven by the edematous component of inflammatory responses to tissue injury and (II) the significant decrease of T2H2O and T1 with age in control and GRMD dogs reflects primarily the progressive increase in fiber diameter and protein content during tissue development. Our study underscores the potential of multicomponent water T2 relaxometry and ECV to provide valuable insights into muscle pathology in NMDs.
Mass spectrometry‐based proteomics for biomarker discovery in the Drosophila model of Parkinson's disease
Authors: Khan Mohammad Radid , Rahman Ramisha A. , Rashid Md Harunur , Islam Md Shariful 
Published: October 2024

AbstractParkinson's disease (PD) is the second most prevalent neurodegenerative disorder worldwide. Despite extensive research, the etiology of both familial and sporadic PD remains unclear. While most PD cases are sporadic, a significant minority are linked to genetic mutations, notably in the synuclein‐alpha (SNCA) and leucine‐rich repeat kinase 2 (LRRK2) genes. Animal models, such as Drosophila melanogaster (D. melanogaster), enable detailed study of these genetic mutations and their neurotoxic effects. Recent advancements in mass spectrometry‐based proteomics have enhanced our understanding of PD by facilitating comprehensive analysis of protein expression and interactions in mutant and wild‐type organisms, potentially revealing novel therapeutic targets. This review highlights the pivotal role of mass spectrometry‐based proteomics in advancing PD research, emphasizing the contributions of D. melanogaster models in identifying potential biomarkers.
Biosensor Based on the Immobilization of Laccase on β‐Cyclodextrin Membrane for the Evaluation of Antioxidant Capacity in Real Samples
Authors: Juárez‐Gómez Jorge , Alejandro Báez‐Melga Omar , Sarahia Guzmán‐Hernández Dafne 
Published: October 2024

AbstractThe optimization of a new amperometric biosensor for evaluating antioxidant capacity in real samples is reported. The biosensor is based on the immobilization of Laccase from Trametes versicolor on an electropolymerized β‐cyclodextrin polymeric membrane on a glassy carbon electrode. The process of electropolymerization, which was successful even in the presence of the enzyme, was a key step in biosensor synthesis. Variables such as pH, temperature, and enzyme concentration were optimized using a factorial design with two levels for each factor. Different electrodes were constructed and tested using caffeic acid as a standard. The best biosensor is synthesized at pH 3.0 with 6 mg/mL of enzyme and 30 °C. The biosensor presented a response time of ≤30 seconds and good stability in its amperometric response. The biosensor was used to evaluate the antioxidant capacity of real samples. Infusions of green, black, red, and white tea were assessed. The biosensor showed excellent stability and good performance regarding response time, stability, and easy fabrication. The proposed biosensor is a good option for evaluating antioxidant capacity in real samples without sample pretreatment. It combines a simple fabrication methodology and a minimal extraction process for rapid and reliable phenolic content determination in real samples.
Functionalized Nanomaterials In Pancreatic Cancer Theranostics And Molecular Imaging
Authors: Nagarajan Yoghalakshmi , Chandrasekaran Natarajan , Deepa Parvathi Venkatachalam 
Published: October 2024

AbstractPancreatic cancer (PC) is one of the most fatal malignancies in the world. This lethality persists due to lack of effective and efficient treatment strategies. Pancreatic ductal adenocarcinoma (PDAC) is an aggressive epithelial malignancy which has a high incidence rate and contributes to overall cancer fatalities. As of 2022, pancreatic cancer contributes to about 3 % of all cancers globally. Over the years, research has characterised germline predisposition, the origin cell, precursor lesions, genetic alterations, structural alterations, transcriptional changes, tumour heterogeneity, metastatic progression, and the tumour microenvironment, which has improved the understanding of PDAC carcinogenesis. By using molecular‐based target therapies, these fundamental advancements support primary prevention, screening, early detection, and treatment. The focus of this review is the use of targeted nanoparticles as an alternative to conventional pancreatic cancer treatment due to the various side effects of the latter. The principles of nanoparticle based cancer therapy is efficient targeting of tumour cells via enhanced permeability and retention (EPR) effects and decrease the chemotherapy side effects due to their non‐specificity. To increase the efficiency of existing therapies and modify target nanoparticles, several molecular markers of pancreatic cancer cells have been identified. Thus pancreatic cancer cells can be detected using appropriately functionalized nanoparticles with specific signalling molecules. Once cancer has been identified, these nanoparticles can kill the tumour by inducing hyperthermia, medication delivery, immunotherapy or gene therapy. As potent co‐delivery methods for adjuvants and tumor‐associated antigens; nanoparticles (NPs) have demonstrated significant promise as delivery vehicles in cancer therapy. This ensures the precise internalization of the functionalized nanoparticle and thus also activates the immune system effectively against tumor cells. This review also discusses the immunological factors behind the uptake of functionalized nanoparticles in cancer therapies. Theranostics, which combine imaging and therapeutic chemicals in a single nanocarrier, are the next generation of medicines. Pancreatic cancer treatment may be revolutionised by the development of a tailored nanocarrier with diagnostic, therapeutic, and imaging capabilities. It is extremely difficult to incorporate various therapeutic modalities into a single nanocarrier without compromising the individual functionalities. Surface modification of nanocarriers with antibodies or proteins will enable to attain multifunctionality which increases the efficiency of pancreatic cancer therapy.
Optimization and Investigation of Hemoglobin‐Loaded ZIF‐90 Metal–Organic Framework Nanoparticles as Artificial Oxygen Carriers
Authors: Douka Despoina , Jin Weiguang , Cantallops‐Iglesias Carlos , Dieste‐Izquierdo Arnau , Thulstrup Peter Waaben , Hosta‐Rigau Leticia 
Published: October 2024

AbstractBlood transfusions are vital, yet limited shelf‐life and storage conditions of red blood cells (RBCs) hinder their use in emergencies. Hemoglobin‐based oxygen carriers (HBOCs) aim to address these challenges, but previous versions faced clinical setbacks due to safety concerns related to hemoglobin (Hb) extravasation. ZIF‐90, a novel metal–organic framework variant where imidazole‐2‐carboxaldehyde (2‐ICA) is bridged to Zn2+ ions, is explored. Optimizing Zn2+:2‐ICA ratios and Hb concentrations, Hb‐loaded ZIF‐90 nanoparticles (NPs) are synthesized in one‐step and under mild synthesis conditions. These NPs achieve a 25.1% yield, 7.0 mg mL−1 Hb concentration, 70.3% encapsulation efficiency (EE), and 96.4% drug loading. They exhibit a left‐shifted oxygen dissociation curve with p50 of ≈8 mmHg, indicating enhanced oxygen release at lower partial oxygen pressures as compared to native RBCs. This feature makes Hb‐loaded ZIF‐90 NPs suitable for certain medical applications including ischemia‐reperfusion injury management. Furthermore, the impact of two prominent capping agents: polyvinylpyrrolidone and polyethylene glycol (PEG) is assessed. PEG improves 2‐ICA incorporation and stabilizes the ZIF‐90 crystalline phase, albeit with reduced yield, Hb content, and EE. The findings underscore the potential of Hb‐loaded ZIF‐90 NPs as next‐generation HBOCs, offering enhanced uniformity, high Hb content, and efficient oxygen binding and release properties for medical applications.
Revealing pest patterns: A comparative spatial distribution analysis of insect threats in Kharif rice across the key agricultural regions in the Eastern India
Authors: Garai Koushik 
Published: October 2024

AbstractBACKGROUNDThis study investigates the spatial distribution and aggregation patterns of major insect pests in Kharif rice fields during the 2023 growing season in Eastern India. The analysis focuses on key pests such as yellow stem borer (YSB), gall midge, green leaf hopper (GLH), and brown planthopper (BPH), as well as rice thrips, caseworm, whorl maggot, Gundhi bug, grasshopper, and leaf folder. Using statistical indices, this study aims to understand pest behavior across Standard Meteorological Weeks (SMWs) to better inform pest control strategies.RESULTSThe study reveals significant clustering and aggregation patterns among the pests. YSB exhibited variance–mean ratio (VMR) values between 1.14 (40th SMW) and 1.96 (31st SMW), with dispersion parameter (K) values ranging from 0.57 to 21.65, and a peak index of dispersion of 132.66 (43rd SMW). Similarly, gall midge showed VMR values from 6.19 to 10.48, whereas GLH and BPH recorded VMR ranges of 1.19 to 132.10 and 1.01 to 1.50, respectively. These spatial distribution trends were confirmed through values for Iwao's patchiness index and Taylor's power law, indicating strong pest aggregation in specific areas.CONCLUSIONThe results underscore the need for region‐specific integrated pest management strategies that take into account pest clustering and environmental factors influencing pest distribution. Although an S‐curve pattern of infestation—showing gradual population increases, rapid peaks, and eventual decline—was observed, the primary focus remains spatial patterns, which are critical for optimizing pest management and improving rice crop sustainability in the region. © 2024 Society of Chemical Industry.
Trehalose metabolism mediates trade‐offs between reproduction and survival in beet webworm, Loxostege sticticalis, under heat stress
Authors: Tian Zhiqiang , Qiao Yijie , Xie Dianjie , Puqian A , Zhang Lei , Cheng Yunxia , Jiang Xingfu , Michaud JP 
Published: October 2024

AbstractBACKGROUNDTemperature is an important determinant of developmental and reproductive rates in insects. Here, we investigated the physiological responses of adult beet webworm, Loxostege sticticalis L. (Lepidoptera: Crambidae), to three temperatures (16, 23 and 30 °C) focusing on trehalose metabolism.RESULTSExposure of moths to 30 °C accelerated eclosion and ovarian development, but shortened the oviposition period and adult longevity, whereas exposure to 16 °C had opposite effects. Transcriptome analysis revealed that vitellogenin (VG) and vitellogenin receptor (VR) genes were up‐regulated at 30 °C, as were numerous genes related to energy metabolism, including those involved in the insulin signaling pathway, the tricarboxylic acid (TCA) cycle, and glycolysis. Expression of the trehalose transporter gene TRET1 was also induced at high temperature, primarily in the ovaries, where trehalose content increased, accompanied by lipid degradation in the fat body. Treatment with the trehalase inhibitor validamycin A reduced female fecundity and longevity at 23 °C, but enhanced the expression of genes related to stress resistance and reproduction, mimicking the effect of high temperature.CONCLUSIONBesides their practical utility for predicting the oviposition behavior and geographic distribution of L. sticticalis in the field, these results elucidate the various physiological roles of trehalose in L. sticticalis during exposure of moths to high temperature and may provide insights into the relationship between stress resistance and reproduction in insects more generally. © 2024 Society of Chemical Industry.
Phenol Photostatic Spectra and Quantum‐Classical Photodynamic Deprotonation
Authors: Pomogaev Vladimir , Bocharnikova Elena , Tchaikovskaya Olga , Avramov Pavel 
Published: October 2024

ABSTRACTThe spectral‐luminescence properties and photochemical conversions of phenol were analyzed for an isolated molecule as well as in water solvents in a continuum implicit model and explicit atomistic surroundings. This involved employing cut‐edge hybrid quantum‐classical methodologies to generate static optical spectra and the excited dissipative crossing potential energy curves. A combination of electronic excitations, gradient calculations, and embedding electrostatic potential fitting charges on quantum‐classical molecular dynamic propagation trajectories provided statistically averaged absorption spectra. The mixed‐reference spin‐flip multiconfigurational linear response method based on reference triplet preprocessed in the time‐dependent density‐functional theory was utilized to determine conical intersections between the lowest excited and ground states, as well as two‐stage transitions from the second excitation to the ground state. Non‐adiabatic quantum‐classical molecular dynamics defined photodissipative trajectories of excited states, their lifetimes, and crossing points through trajectory surface hopping together with the mixed‐reference spin‐flip and embedding electrostatic potential fitting approaches. Dyson orbitals of the extended Koopmans' theorem were applied to reveal the nature of molecular states at conical intersections and key points on photodynamic trajectories. Potential hydroxyl group cleavage predicted with conical intersections searching turns to “swift” OH deprotonation through |π→⟩ transition along photodynamic propagations in contrast with “long” processes leading to benzene ring deformation with stable OH bond.
Mem‐Transistor‐Based Gaussian Error–Generating Hardware for Post‐Quantum Cryptography Applications
Authors: Kim Moon‐Seok , Rehman Shania , Khan Muhammad Farooq , Kim Sungho 
Published: October 2024

AbstractQuantum computing can potentially hack the information encrypted by traditional cryptographic systems, leading to the development of post‐quantum cryptography (PQC) to counteract this threat. The key principle behind PQC is the “learning with errors” problem, where intentional errors make encrypted information unpredictable. Intentional errors refer to Gaussian distributed data. However, implementing Gaussian distributed errors is challenging owing to computational and memory overhead. Therefore, this study proposes a Gaussian error sampler that employs the intrinsic Gaussian properties of nanometer‐scale semiconductor devices. The proposed Gaussian error sampler significantly reduces computational and memory overhead. This work comprehensively evaluates the effectiveness of the proposed device by conducting statistical normality tests and generating quantile–quantile plots. The optimal programming voltage is identified to be −5.25 V, and the experimental results confirmed the Gaussian distribution of error data generated by the proposed module, aligning closely with software‐generated Gaussian distributions and distinct from uniform random distributions.
A case of cytomegalovirus cystic lung disease and review of literature
Authors: Wordui Seyram M. , Singh Shivani , Pillay Tanyia , Zampoli Marco , Daniels Adriaan , Brooks Andre , Vanker Aneesa , Gray Diane 
Published: October 2024

AbstractA 31‐week gestation male infant with respiratory distress since day of delivery had lobectomy at 8 weeks of age for symptomatic, suspected congenital pulmonary airway malformation (CPAM). Histology of resected lung showed cytomegalovirus (CMV) inclusion bodies and emphysematous changes. The infant was treated with antiviral therapy with improvement in symptoms. CMV infection of the lung should be considered in any neonate presenting with lung cysts.