bluuebunny/crossref_metadata_2025_split huggingface dataset:
Professional Human Resources to Create Consumer Satisfaction and The Impact on Purchasing Intention.
Authors: Mega Zahera , Marwan Jubery 
Published: August 2023

Knowledge and skills possessed by individuals will lead to behavior. Meanwhile, the behavior will produce performance. A person's ability, both knowledge or skills possessed in carrying out work will encourage them to perform well. Individual aspects related to individual abilities and work professionalism, group aspects related to the environment in which they work; such as discipline, job compensation, and job satisfaction as well as aspects of the organizational system related to the extent to which the employee adheres to a commitment to growing the company. The responsibility of human resource management in carrying out their duties is to be able to provide suitable substrates for talented and capable personnel in the organization such as; individual ability, work professionalism, organizational commitment, work discipline, work compensation, and job satisfaction so that they can carry out their duties with good quality. Thus, according to the results and objectives of this study, professional human resources can directly create consumer satisfaction and its impact on purchasing intention.
This type of research is explanatory research with a quantitative approach. To test the developed hypothesis using path analysis. Data were obtained from the results of distributing questionnaires to culinary tourism actors using a survey method. The sampling technique used the entire population as a sample (census) with a Likert scale. Primary data analysis was carried out after testing the validity and reliability and normality of the data.

Keyword : Customer Satisfaction, Purchasing Intention, Professional Human Resources.
Internal Architectural Patterns of Bar Fingers Within Digitate Shallow-Water Delta: Insights from the Shallow Core, GPR and Delft3D Simulation Data of the Ganjiang Delta, China
Authors: Xu Zhenhua , Wu Shenghe , Wang Quanlin , Zhang Pan , Deng Meng , Feng Wenjie , Zhang Jiajia , Zhang Changmin 
Published: August 2023

Abstract
Digitate shallow-water deltas are commonly found in modern lakes and bays, as well as within cratonic petroliferous basins. They develop one or multiple sinuous finger-like sands (i.e., bar fingers), including high-RSI (sinuosity ratio of distributary channel and bar finger ≥1) and low-RSI (RSI &lt; 1) types. Bar fingers consist of four types of subenvironments, that is, distributary channels, point bars, mouth bars, and levees. However, the internal architecture within the above subenvironments is still unclear. This paper documents the internal architecture of a digitate delta based on the integration of shallow-core and ground-penetrating radar data from the Ganjiang Delta, China, coupled with Delft3D simulations. Our results show that multiple convex-up muddy-silty accretion beds are developed in mouth bars, which top lap the side of the distributary channels or point bars and down lap the bottom of the mouth bar. The accretion beds have low dip angles (&lt;2°), which is slightly higher for the upper accretion beds. Point bars, unique to the high-RSI bar finger, develop multiple inclined silty drapes, which top lap the top of the point bar. The cohesive levee and backwater effect impede the migration of the distributary channel, resulting in silty drapes with high-dip angles (can be &gt;10°) compared with those in the supplying river. This dip angle exhibits a negative relationship with downstream distance and a positive exponential relationship with lateral migration distance. Silty drapes become dense along the migration direction of the distributary channel. The levee develops multiple horizontal muddy accretion beds. The high-RSI bar finger develops a large number (&gt;3) of accretion beds in mouth bars with high dip angles, and a large number of accretion beds in thick levees, compared with the low-RSI bar finger. The results of this paper provide insights into the prediction and development of cratonic digitate shallow-water delta reservoirs.
Geothermal Energy Storage (Geo-TES) Using Traditional Oil Reservoirs
Authors: Berger Eric , Lawrence Frank , Umbro Mike , Harness Paul , Lederhos Jim 
Published: August 2023

Abstract
Developing power grid stabilizing, zero emissions power production projects is a critical component to meeting California’s year 2045 greenhouse gas emissions reduction targets and clean power requirements. Established oilfields in the San Joaquin Valley, coupled with favorable solar irradiance characteristics, offer a transformational opportunity for the oil and gas industry that could meet the state’s long-duration storage needs through the use of synthetic geothermal methods, integrating Geothermal Energy Storage (GeoTES) practices. Premier Resources Management (PRM) is planning a demonstration project which demonstrates that this innovative process, appropriately expanded, can meet the electric power production needs for the people of California. Application of unguided process application can result in uneconomic investment practices, however.
The Carbon Storage Three-Legged Stool to Facilitate Deployment
Authors: Koperna G. J. , Riestenberg D. E. , Ombudstvedt I. , Ness R. 
Published: August 2023

Abstract
Nearly 25 years ago, publicly funded research into the suitability of permanently storing CO2 in the subsurface was initiated in many parts of the globe to mitigate CO2 emissions. Over time, this work developed capacity assessments and conducted pilot tests to demonstrate storage efficacy. Results of these assessments suggested that large volumes of CO2 can be stored in many global basins. In parallel with this research, regulatory authorities developed frameworks to govern the injection and storage processes to assure permanency and to minimize environmental impacts.
However, these R&D and regulatory developments, by themselves, were not enough to kick-start an industry. A "third leg" of the stool was required, which is a viable commercial model. In a limited number of sites around the world, commercial storage projects were developed to mitigate carbon emission taxes. However, momentum has not been maintained and the portfolio of large projects has not grown. In the United States, however, the advent of tax incentives has spurred intensive commercial interest in carbon storage. This confluence of incentivization, decades long research, and an established regulatory framework has led to significant growth in carbon storage activity in projects great and small.
Addressing Data Center Cooling Needs through the Use of Subsurface Thermal Energy Storage Systems
Authors: Zhang Y. , Acero-Allard D. , Atkinson T. , Beckers K. , Dobson P. , Jin W. , Lei N. , Oh H. , Peng P. , Sartor D. , Sickinger D. 
Published: August 2023

Abstract
This study aims to evaluate the feasibility of addressing the cooling needs for information technology (IT) equipment in data centers by using reservoir thermal energy storage (RTES) to provide reliable and sustainable low-temperature fluid. This project focuses on the technical viability of operating such a system in Houston, Texas, which is a representative location for crypto mining data centers. An analysis has been performed to investigate the technical feasibility with climate data for Houston. Results show that data centers on the scale of 30 MW, and operating at a temperature of 27°C, can be reliably cooled by a combined RTES and dry coolers setup. A techno-economic analysis will be performed and energy/water saving benefits will be quantified in the future. In addition, the study will be extended to other representative data center locations with different climates and geographical locations.
Pseudo-classification of natural elements and atomic total energy prediction
Authors: Belahcene Brahim 
Published: August 2023

Abstract

This paper presents an artificial classification and atomic energy correlation analysis of the periodic table. The choice of data mining method is due to its robustness, which can explore intrinsic or hidden relationships between chemical elements and their properties. The Mendeleev table is probably the earliest example of the data analysis technique in materials science. However, the classical periodic table represents the arrangement of chemical elements based on specific periodicities that have the problem of continuity of properties for some chemical elements.
In this research, we used one of the unsupervised data mining methods (Principal Component Analysis) to investigate the chemical elements based on all the ready properties.
The main objective is to make a pseudo-classification of natural and synthetic chemical elements based on their physicochemical and energy-available properties. The results revealed the effectiveness of the data mining method in appreciating the relationships between the variables and properties that offer a new way of viewing a Mendeleev table. The last step of this work highlights the importance of predictive polynomial that allows the scientific community to make atomic total energy predictions for each natural periodic element, from helium to lawrencium.
Persistent anomalies in the geomagnetic field arise from top-down control on the geodynamo
Authors: Beguin Annemarieke , Panovska Sanja , de Groot Lennart 
Published: August 2023

Abstract
The most prominent feature of the current geomagnetic field is arguably the South Atlantic Anomaly (SAA), a region where the geomagnetic field is exceptionally weak. The origin and evolution of the SAA are still enigmatic. Recent geomagnetic field models put its origin under the Indian Ocean, but this contradicts a suggested link between the SAA and the large low-shear-velocity province (LLSVP) underneath the African continent. This contradiction arises from a sparse paleomagnetic data kernel especially lacking Southern Hemisphere data. Here we present a global geomagnetic field model that includes new paleomagnetic data from Réunion Island located in the Indian Ocean – a key region to unravel the history of the SAA. Our model reveals that not only the SAA but also other anomalous features of the geomagnetic field arise from two distinct latitudinal bands just East of both LLSVPs. This suggests that the LLSVPs disturb the generally westward flow in the top of the outer core, either through topography on the core-mantle-boundary, by thermal gradients, or a combination of both. Such local disturbances in the geodynamo may then evolve chaotically while moving slowly westwards and dwindling in strength.
Investigation of Optimized Observation Periods for Estimating a Representative Home Range of Free-Roaming Domestic Dogs
Authors: Sousa Filipe Maximiano , Warembourg Charlotte , Abakar Mahamat Fayiz , Alvarez Danilo , Berger-Gonzalez Monica , Odoch Terence , Wera Ewaldus , Chitnis Nakul , Silva Laura Cunha , Alobo Grace , Sikko Maria M , Roquel Pablo , Hernandez Alexis Leonel López , Dürr Salome 
Published: August 2023

Abstract
Free-roaming domestic dogs (FRDD), as vectors of zoonotic diseases, are of high relevance for public health. Understanding roaming patterns of dogs can help to design disease control programs and disease transmission simulation models. Studies on GPS tracking of dogs report starkly differences in recording periods. So far, there is no accepted number of days required to capture a representative home range (HR) of FRDD. The objective of this study was to evaluate changes in HR size and shape over time of FRDD living in Chad, Guatemala, Indonesia and Uganda and identify the period required to capture stable HR values. Dogs were collared with GPS units, leading to a total of 46 datasets with a minimum of 19 recorded days. For each animal and recorded day, HR sizes were estimated and percentages of daily change in size and shape calculated and taken as metrics. The analysis revealed that the required number of days differed substantially between individuals, isopleths and countries, with the extended HR requiring a longer recording period. To reach stable HR size and shape values for 75% of the dogs 26 and 21 days, respectively, seemed to be enough. However, certain dogs required more extended observational periods.
SCN8A gain-of-function mutation is associated with a relatively mild phenotype of epilepsy
Authors: Wang Bao-Tian , Jang Jun-Hong , Yuan Jin-Jing , Wu De , Yang Li 
Published: August 2023

Abstract
SCN8A-associated epilepsy with encephalopathy has been identified in hundreds of individuals. The vast majority of cases are scattered de novo variants typically with an autosomal dominant expression often resulting in severe phenotypic expression. Familial inheritance has also been reported with diverse clinical features. The present study aimed determine the possible SCN8A pathogenic biophysical alterations associated with epilepsy. Using whole exome sequencing, we analyzed five members of a Chinese family and identified a heterozygous missense mutation of SCN8A (c.3926G > A, p.Arg1309Gln). All five affected members developed seizures at different times after birth with a mild clinical phenotype and no intellectual and behavioral development disorders. Low-dose sodium blockers mono-therapy was and effective seizure treatment. The study results suggests that the SCN8A mutation is associated with minor gain-of-function (GoF) effects resulting in the development of mild seizures, however, seizures are well controlled by sodium channel blockers. Therefore, our data broadens the spectrum of SCN8A mutations and the phenotypic-spectrum description of SCN8A mutations in epilepsy patients. In addition, these results suggests that sodium channel blockers may be the most effective treatment option for patients with GoF SCN8A mutations.
Statistical Inference on the Inverse Weibull Model Parameters Based on Dual Generalized Fuzzy Order Statistics
Authors: Maswadah M. 
Published: August 2023

Abstract

In statistical inference, the parameter estimations for lifetime distribution usually deal with precise information. However, in real world situations, experimental performance results cannot always be recorded or measured precisely, and each observable event may only be identified with a fuzzy subset of the sample space. The mean objective of this work is to apply Bayes estimation for the inverse Weibull distribution parameters based on dual generalized fuzzy order statistics when the available observations are described by means of fuzzy information. The Bayesian estimates are compared to the maximum likelihood estimates (MLEs) and the expectation maximization (EM) estimates, via Monte Carlo simulations, in terms of the mean square errors and mean percentage errors. The results are quite favorable to Bayes’ method, which provides better estimates and outperforms the maximum likelihood and the EM estimates for different sample sizes and several values for the true parameters. Finally, a numerical example is given to demonstrate the efficiency of the proposed method.
Ripples in the Bottom of the Potential Energy Landscape of Metallic Glass
Authors: Egami Takeshi , Zella Leo , Moon Ji-Won 
Published: August 2023

Abstract
In the absence of periodicity the structure of glass is ill-defined, and a large number of structural states are found at similar energy levels. However, little is known about how these states are connected to each other in the potential energy landscape. We simulate mechanical relaxation by molecular dynamics for a prototypical CU64.5ZR35.5 metallic glass and follow the mechanical energy loss of each atom to track the change in the state. We find that the energy barriers separating these states are remarkably low, only of the order of 1 meV, implying that even quantum fluctuations can overcome these potential energy barriers. Our observation of numerous small ripples in the bottom of the potential energy landscape puts many assumptions regarding the thermodynamic states of metallic glasses into question and suggests that metallic glasses are not totally frozen at the local atomic level.
Ortho Silicic Acid: A Novel Approach to Enhance Plant Nutrition and Quality in Fodder Maize
Authors: Biswal Bisworanjita , Kumar Rakesh , Kumar Ashwani , Meena Rajesh Kumar , Jat Hardev Ram , Rai Arvind Kumar , Kashyap Suryakanta , Bhattacharjee Subhradip , Das Rajeswari , Baral Kirttiranjan , Padhan Smruti Ranjan , Rana Biswajit , Meel Birbal 
Published: August 2023

Abstract
Agriculture has neglected silicon (Si) fertilization due to the widespread belief that soil has enough of Si and it is beneficial under any kind of biotic or abiotic stress, often neglecting its usefulness under optimum and stress-free conditions. A two-year field experiment was conducted to evaluate the effect of foliar spray of orthosilicic acid (OSA) on the growth, yield, nutrient content, and quality of fodder maize. The experiment was conducted in Zaid season at the Research Farm of Agronomy Section, ICAR-National Dairy Research Institute, Karnal, India. Seven treatments with different concentrations of OSA (0.05%, 0.10%, 0.15%, 0.20%, 0.25%, and 0.30%) were applied along with the recommended dose of fertilizer (RDF). RDF without OSA application was used as control. The results showed that OSA application significantly improved green fodder yield (GFY) and dry fodder yield (DFY). The concentration of 0.25% OSA resulted in the highest GFY (53.63 t ha− 1) and DFY (13.35 t ha− 1), which were 10.6% and 45.3% higher than the control, respectively. The application of OSA also positively influenced growth parameters such as crop growth rate (CGR), relative growth rate (RGR), dry matter accumulation (DMA), leaf:stem ratio, and physiological parameters including SPAD (chlorophyll content), relative water content (RWC%), and leaf area index (LAI). OSA foliar spray improved the nutrient content and uptake in fodder maize. Nitrogen (N%), potassium (K%), and calcium (Ca%) concentrations were significantly increased with OSA application, while phosphorus (P%) concentration remained unaffected. The uptake of N, P, K, and Ca was also significantly higher in the OSA-treated plots, with the 0.25% OSA treatment showing the highest nutrient uptake. OSA application recorded higher dry matter (DM%), crude protein (CP%), total ash (TA%), and lower neutral detergent fiber (NDF%), and acid detergent fiber (ADF%). Economic analysis revealed that OSA at 0.25% concentration resulted in the highest gross return, net return, and benefit-cost ratio (B:C), indicating its economic viability. Therefore, foliar spray of OSA, at 0.25% concentration, improved the growth, yield, nutrient content, and quality of fodder maize. This study highlights the potential of OSA as a beneficial foliar spray for enhancing production and quality of fodder maize.
Fresh white cheeses from buttermilk with polymerized whey protein: texture, color, gloss, cheese yield
Authors: Bielska Paulina , Cais-Sokolińska Dorota 
Published: August 2023

Abstract
Buttermilk and whey, despite their documented health and technological potential, are still not sufficiently utilized for the development of new products. In this research, the effect of heat treatment on whey protein’s texture, color, and gloss was analyzed using fresh white cheeses from buttermilk with polymerized whey protein. Additionally, the influence of the polymerization process on cheese yield and composition was examined. Four fresh white cheese samples were prepared: without whey protein concentrate (FWC); with whey protein concentrate (FWC/WPC); with single-heated polymerized whey protein (FWC/SPWP); and with double-heated polymerized whey protein (FWC/DPWP). The introduction of whey protein in buttermilk cheese production increased cheese yield over 2-fold. There were no differences in color and gloss between FWC/SPWP and FWC/DPWP samples.
Characterization of the plasma proteome from healthy adult dogs
Authors: Doulidis Pavlos G. , Kuropka Benno , Ramos Carolina Frizzo , Rodríguez-Rojas Alexandro , Burgener Iwan A. 
Published: August 2023

Abstract
Bloodwork is a widely used diagnostic tool in veterinary medicine, as diagnosis and therapeutic interventions often rely on blood biomarkers. However, biomarkers available in veterinary medicine often lack sensitivity or specificity. Mass spectrometry (MS)-based proteomics technology has been extensively used in biological fluids and offers excellent potential for a more comprehensive characterization of the plasma proteome in veterinary medicine. In this study, we aimed to identify and quantify plasma proteins in a cohort of healthy dogs and compare two techniques for depleting high-abundance plasma proteins to enable the detection of lower-abundance proteins. We utilized surplus lithium-heparin plasma from 30 healthy dogs, which were subdivided into five groups of pooled plasma from 6 randomly selected individuals each. Our goal was to identify and quantify plasma proteins via label-free quantification LC-mass spectrometry. Additionally, we employed different methods to deplete the most abundant proteins. Firstly, we used a commercial kit for the depletion of high-abundance plasma proteins. Secondly, we employed an in-house method to remove albumin using Blue-Sepharose. Among all the samples, some of the most abundant proteins identified were apolipoprotein A and B, albumin, alpha-2-macroglobulin, fibrinogen beta chain, fibronectin, complement C3, serotransferrin, and coagulation Factor V. However, neither of the depletion techniques achieved significant depletion of high-abundant proteins. Nevertheless, the two different depletion methods exhibited substantial differences in the fold-change of many proteins, suggesting partial depletion that did not contribute to an increase in the number of detected proteins. Despite this limitation, we were able to detect and quantify many clinically relevant proteins. The determination of the healthy canine proteome is a crucial first step in establishing a reference proteome for canine plasma. This reference proteome can later be utilized to identify protein markers associated with different diseases, thereby contributing to the diagnosis and prognosis of various pathologies.
Prevalence and Molecular Characterization of Extended-spectrum β–Lactamase - producing Escherichia coli Isolates from Dairy Cattle with Endometritis in Gansu Province, China
Authors: Zhang Kang , Feng Haipeng , Zhang Jingyan , Guo Zhiting , Yan Zunxiang , Wang Guibo , Wang Xuezhi , Wang Lei , Li Jianxi 
Published: August 2023

Abstract
Background
The present study aimed to investigate the prevalence and molecular characterization of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli (E. coli) isolated from dairy cattle with endometritis in China. The presence of ESBL-producing Escherichia coli in the sample was detected using ChromID ESBL agar, and genotyping of the ESBL producers was performed by PCR and DNA sequencing.
Results
The results showed that 69.76% (180/258) of samples obtained from cows with clinical endometritis tested positive for pathogens, with E. coliaccounting for 170 out of the 180 positive samples. The incidence rate of isolated E. coli infection was 39.14% (101/258), and co-infections with other pathogens were prevalent. Furthermore, among the 158 E. coli isolates, 50 (31.64%) were identified as producers of extended-spectrum beta-lactamases (ESBLs), with TEM and CTX-M prevalence rates of 78.00% and 32.00%, respectively. Drug sensitivity experiments indicated that the 50 ESBL-producing E. coli isolates were multidrug resistant, with 48.0% of them testing positive for both the class 1 integron gene and five gene cassettes responsible for resistance to trimethoprim (dfr1 and dfrA17) and aminoglycosides (aadA1, aadA5, and dfrA1), respectively.
Conclusion
This investigation has demonstrated a substantial prevalence and elevated levels of antimicrobial resistance among ESBL-producing E. coli isolates derived from dairy cattle afflicted with endometritis in China.