bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critical Crossover Behavior of Itinerant Weak Antiferromagnets around Quantum Critical Point
Authors: Konno Rikio , Hatayama Nobukuni , Itoh Toyoharu , Takahashi Yoshinori 
Published: August 2023

SamenvattingMagnetic and thermal critical behaviors of itinerant electron magnets around the quantum critical point (QCP) have recently attracted much interest. On the other hand, crossover phenomena between classical and quantum critical behaviors have not drawn much attention. The purpose of this study is, therefore, clarifies how the predominance of thermal and quantum critical behaviors will change around the QCP based on the spin fluctuation theory. We show that in the region very close to the Neel temperature T
N
in the paramagnetic phase, the temperature dependence of the inverse of staggered susceptibility obeys the classical (T-TN)2-linear behavior. With increasing temperature T, it changes into the quantum critical (T
3/2
-TN3/2)-linear dependence above the crossover temperature T*. Since T* tends to vanish in the quantum critical limit TN → 0, the classical critical region disappears and predominant T3/2-linear behavior prevails.
Evaluation of Soil Compaction and Sealant Application for Compacted Earthen Liners
Authors: González-Delgado Amir M. , Shukla Manoj K. , Stringam Blair , Parsheh Mehran 
Published: August 2023

AbstractThe open earthen pond system is a cost effective system for the production of microalgae and aquaculture products. Studies are required in the development of compacted earthen liners as cost-effective lining technologies to avoid negative impacts on water resources and human health. The objective of this study was to determine the effect of different levels of compaction and application of a polyacrylamide polymer as a soil sealant on the hydraulic conductivity of soil. Three soils collected from the existing pond sites were packed into aluminum cores (5 cm diameter), proctor molds (10 cm diameter) and stock pots (60 cm diameter) prior to saturated hydraulic conductivity (Ks) determination using the constant head method. A negative relationship was obtained between Ks and compaction for sandy loam, sandy clay loam and loam soils. The application of the soil sealant to compacted soil cores, proctor molds and stock pots did not decrease the Ks to the value of 1 x 10-9 m/s or lower to meet the regulatory criteria of compacted clay liners. The dry bulk density versus Ks curves indicate that sandy loam and sandy clay loam soils should be compacted to 1.82 and 1.69 g/cm3, respectively in soil cores and 2.40 and 1.59 g/cm3 in soil molds respectively to meet the regulatory criteria. The puddling experiments with sandy loam and loam soils in the stock pot also showed decreases in soil hydraulic conductivity as finer particles settle out of suspension in the soil pores. These experiments showed that sandy clay loam and loam soil can be compacted to decrease the Ks below the regularity criteria for clay liners. More experiments particularly in small ponds are needed to validate the results of the laboratory experiments.
An Evaluation of Three Drift Reduction Adjuvants for Aerial Application of Pesticides
Authors: Henry Ryan S. , Fritz Bradley K. , Hoffmann William C. , Kruger Greg R. 
Published: August 2023

AbstractPreventing pesticide drift from aerial applications is important for environmental and application efficiency reasons. Proper analysis of drift reduction technologies or techniques is an essential component of the drift prevention process. In the current study, three drift reduction adjuvants were tested with two herbicides under several application conditions used by rotary-wing and fixed-wing aircraft in the U.S. Data was collected using a high speed wind tunnel and laser diffraction equipment. The results of the study indicated application conditions, and not adjuvant inclusion, were the largest drivers of the droplet size distribution and drift potential. Data was further computed in the drift prediction program, AGDISP, where little differences were observed between the treatments. This study highlighted the importance of testing drift reduction technologies or techniques from multiple viewpoints.
An Improvement of Velocity Variation with Offset (VVO) Method in Estimating Anisotropic Parameters
Authors: Herawati Ida , Winardhi Sonny , Triyoso Wahyu , Priyono Awali 
Published: August 2023

AbstractSeismic anisotropy causes deviation of traveltime reflection from hyperbolic moveout. The deviation can be seen at far offset and its deviation depends on anisotropic parameter and offset. This paper discuss velocity variation with offset (VVO) method as a tool for estimating anisotropic parameters; ε and δ. Anisotropic parameter is one of important aspect in seismic anisotropy analysis. While other methods use non-hyperbolic moveout for estimating anisotropic parameter, VVO method uses hyperbolic assumption for moveout correction and leave reflector unflat at far offset because anisotropy. The method calculates residual traveltime and then changes it into anisotropy velocity to obtain anisotropic parameter using linear inversion method. This paper provides an improvement and limitation of VVO method in estimating anisotropic parameter. Comparison between VVO method and other established method is discussed theoretically in this paper. To test the method, synthetic model is built and the result show promising outcome in predicting ε. Meanwhile accuracy for δ estimation depends on accuracy of moveout velocity. Advantage of VVO method is that ε and δ can be estimated separately using P-wave gather data without well information.
MSCDNet-based multi-class classification of skin cancer using dermoscopy images
Authors: Radhika Vankayalapati , Chandana B. Sai 
Published: August 2023

Background
Skin cancer is a life-threatening disease, and early detection of skin cancer improves the chances of recovery. Skin cancer detection based on deep learning algorithms has recently grown popular. In this research, a new deep learning-based network model for the multiple skin cancer classification including melanoma, benign keratosis, melanocytic nevi, and basal cell carcinoma is presented. We propose an automatic Multi-class Skin Cancer Detection Network (MSCD-Net) model in this research.

Methods
The study proposes an efficient semantic segmentation deep learning model “DenseUNet” for skin lesion segmentation. The semantic skin lesions are segmented by using the DenseUNet model with a substantially deeper network and fewer trainable parameters. Some of the most relevant features are selected using Binary Dragonfly Algorithm (BDA). SqueezeNet-based classification can be made in the selected features.

Results
The performance of the proposed model is evaluated using the ISIC 2019 dataset. The DenseNet connections and UNet links are used by the proposed DenseUNet segmentation model, which produces low-level features and provides better segmentation results. The performance results of the proposed MSCD-Net model are superior to previous research in terms of effectiveness and efficiency on the standard ISIC 2019 dataset.
A Study on Consumer Profile and Preference for Virgin Coconut Oil in Bangalore City
Authors: S. P. Dijendragowda , Mahendran K. , Hemalatha S. , Muralidharan C. , Selvi R. Pangayar 
Published: August 2023

Aim: This research endeavors to examine the fundamental factors driving consumer preferences and actions concerning Virgin Coconut Oil (VCO) in Bangalore City. It seeks to assess the impact of demographic variables, health perspectives, and brand recognition on consumer choices and behavior toward VCO.
Study Design: A quantitative, descriptive research design.
Place and Duration of Study: The research was carried out in Bangalore City, during June and July of 2023. The primary data were collected from a random sample of Sixty respondents.
Methodology: A diverse group of participants were surveyed, spanning different age groups, educational backgrounds, and occupations. The survey encompassed aspects such as age, gender, education, occupation, income, and family size. Conjoint analysis facilitated the measurement of attribute importance scores, providing insights into consumer preferences for factors including price, brand, and health benefits.
Results: Analysis of the collected data unveiled noteworthy trends The majority of the respondents (61.7%) were males, and a significant proportion (43.3%) held master's degrees. Employed individuals constituted the largest occupation category (58%). Conjoint analysis revealed that health benefits held the highest importance score (39.979), followed by price (37.011) and brand (23.010).
Conclusion: This study accentuates the pronounced role of health benefits in driving consumer choices regarding VCO. The findings illuminated the demographics of VCO consumers in Bangalore City and emphasize the need for targeted marketing strategies aligned with health-conscious consumer preferences. Insights gained from this research can significantly guide product development and branding initiatives, fostering a competitive advantage in this potential market. Further exploration and validation of these predictors are warranted to enhance the efficacy of marketing strategies and cater effectively to the evolving consumer landscape.
The Prospects of Effective Management of Educational Data in Primary School at Mbarali District, Tanzania
Authors: Msigwa Oscar , Ngirwa Coletha C. 
Published: August 2023

In recent years, the use of education data has increased attention. They are important in education planning and development in general. This study assessed the prospects of effective management of educational data in Mbarali District. Our study employed a Cross sectional research design. A quantitative research methodology was used. The population of the study included data managers in primary schools. The study's sample included data managers 285 in primary schools from Mbarali district. Questionnaires were used to gather data. Multiple regression analyses were used to analyse the data. The study revealed that all the four independent variables (effective decision making, minimization of errors, cost effectiveness and efficient operations) uniquely, significantly and positively were influenced by effective data management model (β=0.257 P=0.00), (β=0.301 P=0.00), (β=-0.632 P=0.00) and (β=-0.614 P=0.00) respectively. Therefore, an effective data management support efficiency in decision-making, leads to cost-effective, minimize errors, and support operational effectiveness.
Generally the appropriate investment in education is largely determines the success of the implementation of any education policy in a country. The government of Tanzania has given primary school heads power as a primary source of education data in order to ensure that the data submitted to various education authorities are accurate, dependable, and secured. Computers and data storage facilities should be among the data management tools and systems that should be available in schools.
Our study then recommends that the government through the Ministry of Education, Science and Technology should make sure current technology is used to manage data in education institutions through updating data management systems and data management tools such as computers, hard drives and data storage facilities to ensure data security and reliability.
Studies on the Effect of Nano-Urea on Growth, Yield and Nutrient Use Efficiency in Transplanted Rice
Authors: A. S. Anushka , Kumar G. Senthil , Sritharan N. , Radhamani S. , Maragatham S. 
Published: August 2023

Rice is a staple crop that feeds a large section of the world's population, and conventional urea fertilisers have played an important role in increasing rice yields. However, nano urea, a game-changing invention in modern agriculture, represents a big step forward in terms of sustainable and efficient crop production. The experiment was carried out at wetlands farm of Tamil Nadu Agricultural University, Coimbatore, during Navarai season, 2022 in a Randomized block design with eight treatments and three replications. The main objective is to enhancing the growth and yield of rice through foliar application of nano urea. The rice variety CO 55 was taken up for the study with the RDF of 150:50:50 NPK kg ha-1. The experimental details viz; T1 -100% recommended dose of nitrogen (RDN) (150 kg N) through urea (25% each at basal, AT, PI and heading stage), T2 - 100% RDN (150 kg N) through urea (50% as basal+ two top dressing 25% each at AT & PI), T3 - 50% RDN (75 kg N) through urea (basal only) , T4 - 50% RDN (75 kg N) through urea (basal only) + two foliar sprays of nano urea at 20th and 40th DAT, T5 -50% RDN (75 kg N) through urea (basal only) + three foliar sprays of nano urea at 20th, 40th and 60th DAT, T6 -25% RDN (37.5 kg N) through urea (basal only) + three foliar sprays of nano urea at 20th, 40th and 60th DAT, T7 -Foliar sprays of nano urea at 20th 40th and 60th DAT (no basal application), T8 -Control (0% N). Based on the experimental results show that, among the treatments the higher plant height, leaf area index and yield should be obtained in the T5 treatment ie; reduced basal nitrogen application as 50%, with nano urea foliar spray.
Effect of Novel Insecticides on Sucking Pests and Pink Bollworm in Cotton Plants under Field Conditions
Authors: Rajashekar K. , Chauhan Sreedhar 
Published: August 2023

The study investigated that the effectiveness of various novel insecticides for controlling sucking pests and pink bollworm in cotton cultivation over a three-year period. The treatments were evaluated based on their impact on aphids, jassids, thrips, whiteflies and pink bollworm populations. During 2018-19, 2019-20 and 2020-21 years, among the tested novel insecticides, Fipronil + Imidacloprid @ 100g/ha has recorded lowest population of thrips, jassids. Similarly, Fipronil+ Acetamiprid @ 1000 ml/ha has recorded lowest aphid population whereas incidence of pink bollworm was least in Lamdacyhalothrin + Chlorantraniliprole @ 200 ml/ha.
Recent Development and Review on Botanicals from Plants to Stored Grains
Authors: Chugh Priya , Singh Rajesh Kumar , Mishra Suraj , Khan Anam , Hazarika Sanjay , Haokip Songthat William , Nengparmoi Th. 
Published: August 2023

There have been numerous reports of insect infestations being connected to grains that have been stored. Almost all species multiply at astonishingly fast rates and may even reproduce sexually. About 10-15% of the grain is destroyed, and the remaining portion is tainted with unpleasant smells and scents. Beetles (Callosobrunchus sp., Trogoderma granarium, and Tribolium confusum), weevils (Sitophilus oryzae, S. granarius, etc.), moths (Corcyra cephalonica), rats, and weevils are the main pests of stored grains. Botanical extracts have antifeedant and arrestant properties, kill and repel pests, and have an impact on insect growth and development. The indiscriminate and ongoing use of pesticides has resulted in the accumulation of hazardous residues on food grains used for human consumption as well as the emergence of resistant breeds of pests.
Recently, attention has been focused on using plant products as a novel strategy for protecting grains in many parts of the world. The bioactivity of plant derivatives against several pests found in storage has already been reported in numerous scientific literature. Because of their generally safe antimicrobial properties, higher plants like neem have also been utilized as antibacterials against storage pests.
People have utilized a variety of herbs and spices (such as turmeric, garlic, and cloves, among others) to manage storage pests. Plant-based products might be able to address issues with synthetic pesticides like resistance, cost, availability, and health hazards. More study is required to determine the effectiveness of biocontrol and the practical applicability of botanical insecticides. It is important to do biosafety studies to determine how dangerous they are to people, animals, and crop plants.
As different insect life stages cause financial harm and degrade the quality of food grains and food products, infestation of stored grains is a highly important issue.
Due to unmanaged environmental conditions and subpar warehousing technologies, numerous stored grain insect pests infest food grains in farmer stores and public warehouses. However, very specific and more suitable current measures should be applied to control the expanding insect population.
Since the beginning of time, botanicals have been employed to protect stored goods from prevalent pests. By acting as chemosterilants or insect growth and development inhibitors, they operate as repellents, anti feedants, toxicants, and natural grain protectants.
Synthesis of Mono and Bis-Substituted Compounds 1-(2-hydroxybenzylidene) Carbonohydrazide and 1, 5-bis(2-Hydroxybenzaldehyde) Carbohydrazone: Study Spectroscopy and X-ray Diffraction
Authors: Fall Alioune , Fall Ndiouga , Seck Thierno Moussa , Thiam Ibrahima Elhadj , Diouf Ousmane , Gaye Mohamed 
Published: August 2023

The unsymmetric monocarbonohydrazide Schiff base (H5L1) (1) and the symmetric dicarbonohydrazone (H4L2) (2) were prepared from a monocondensation reaction between carbonohydrazide and 2-hydroxybenzaldehyde, respectively, in 1/1 and 1/2 ratio. The compounds were characterized by elemental analysis, 1H and 13C NMR and FTIR spectroscopy. The NMR and FTIR data analysis revealed that compounds (1) and (2) are in the amide form in the solid state as well as in DMSO solution. The molecular structure of each Schiff base compound has been elucidated by single crystal X-ray diffraction analysis. Compound H5L1 (1) crystallizes in the monoclinic system in P21/c space group with cell parameters: a = 17.0790(2) Å, b = 11.07410(10) Å, c = 10.56110(10) Å, b = 106.5730(10) °, V = 1914.49(3) Å3 , Z = 4, R1 = 0.0432, wR2 = 0.1275 . The compound H4L2 (2) crystallizes in the orthorhombic system in C2221 space group with cell parameters; a = 4.5494 (1) Å, b = 12.2213 (2) Å, c = 27.4001 (6) Å, V = 1523.43 (5) Å3 , Z = 4, R1 = 0.039 , wR2 = 0.125 . Both compounds exhibit inter and intramolecular hydrogen bonds which consolidate the structures into three-dimensional networks.
Optimizing Kinetics for Enhanced Potassium‐Ion Storage in Carbon‐Based Anodes
Authors: Yang Keke , Zhou Wang , Fu Qingfeng , Xiao Lili , Mo Ying , Ke Jinlong , Shen Wenzhuo , Wang Zhiyong , Tu Jian , Chen Shi , Gao Peng , Liu Jilei 
Published: August 2023

AbstractThe sluggish kinetics in traditional graphite anode greatly limits its fast‐charging capability, which is critically important for commercialization of potassium ion batteries (PIBs). Hard carbon possesses randomly oriented pseudo‐graphitic crystallites, enabling homogeneous reaction current and superior rate performance. Herein, a series of hybrid anodes with different hard carbon/graphite ratios are prepared by uniformly mixing graphite and hard carbon with ball‐milling. Comprehensive experimental results in combination phase‐field simulations reveal that the hybrid anode possesses a homogeneous reaction current and an intriguing potential difference between K+‐adsorbed hard carbon and non‐potassiated graphite. The homogeneous reaction current in the hybrid anode promotes sufficient utilization of electrode material, leading to an increase in the reversible capacity. The present potential difference between K+‐adsorbed hard carbon and non‐potassiated graphite provides an additional electric field force that facilitates the diffusion of K+ from hard carbon into the nearest neighbor graphite. All these together, emphasize the synergistic effects between hard carbon and graphite in hybrid anodes toward satisfactory rate and cycling performance. The hybrid strategy proposed here is compatible with the commercial battery manufacturing, offering a practical pathway for the development of high‐performance PIBs.
Cascade Catalytic Nanoparticles Selectively Alkalize Cancerous Lysosomes to Suppress Cancer Progression and Metastasis
Authors: Pan Limin , Peng Haibao , Lee Bowon , Zhao Jiaxu , Shen Xiulian , Yan Ximei , Hua Yipeng , Kim Jeonghyun , Kim Dokyoon , Lin Mouhong , Zhang Shengjian , Li Xiaohui , Yi Xueying , Yao Feibai , Qin Zhiyong , Du Jiulin , Chi Yudan , Nam Jwa‐Min , Hyeon Taeghwan , Liu Jianan 
Published: August 2023

AbstractLysosomes are critical in modulating the progression and metastasis for various cancers. There is currently an unmet need for lysosomal alkalizers that can selectively and safely alter the pH and inhibit the function of cancer lysosomes. Here an effective, selective, and safe lysosomal alkalizer is reported that can inhibit autophagy and suppress tumors in mice. The lysosomal alkalizer consists of an iron oxide core that generates hydroxyl radicals (•OH) in the presence of excessive H+ and hydrogen peroxide inside cancer lysosomes and cerium oxide satellites that capture and convert •OH into hydroxide ions. Alkalized lysosomes, which display impaired enzyme activity and autophagy, lead to cancer cell apoptosis. It is shown that the alkalizer effectively inhibits both local and systemic tumor growth and metastasis in mice. This work demonstrates that the intrinsic properties of nanoparticles can be harnessed to build effective lysosomal alkalizers that are both selective and safe.
Efficient Alkaline Hydrogen Evolution Reaction Using Superaerophobic Ni Nanoarrays with Accelerated H2 Bubble Release
Authors: Kim Jaerim , Jung Sang‐Mun , Lee Noho , Kim Kyu‐Su , Kim Yong‐Tae , Kim Jong Kyu 
Published: August 2023

AbstractDespite the adverse effects of H2 bubbles adhering to catalyst's surface on the performance of water electrolysis, the mechanisms by which H2 bubbles are effectively released during the alkaline hydrogen evolution reaction (HER) remain elusive. In this study, a systematic investigation on the effect of nanoscale surface morphologies on H2 bubble release behaviors and HER performance by employing earth‐abundant Ni catalysts consisting of an array of Ni nanorods (NRs) with controlled surface porosities is performed. Both aerophobicity and hydrophilicity of the catalyst's surface vary according to the surface porosity of catalysts. The Ni catalyst with the highest porosity of ≈52% exhibits superaerophobic nature as well as the best HER performance among the Ni catalysts. It is found that the Ni catalyst's superaerophobicity combined with the effective open pore channels enables the accelerated release of H2 bubbles from the surface, leading to a significant improvement in geometric activities, particularly at high current densities, as well as intrinsic activities including both specific and mass activities. It is also demonstrated that the superaerophobicity enabled by highly porous Ni NRs can be combined with Pt and Cr having optimal binding abilities to further optimize electrocatalytic performance.