bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Employee Recruitment Digitalization at Pt Patra Jasa
Authors: Kayla Luna Bimantoro  , Marsofiyati  , Adnan Kasofi  
Published: September 2024

KAYLA LUNA BIMANTORO. 2024. 1703520016. Analysis of the Digitalization of Employee Recruitment at PT Patra Jasa. D4 Digital Office Administration Study Program, Faculty of Economics, Jakarta State University.

The aim of this research is to find out the implementation system for digitizing employee recruitment, knowing the obstacles and opportunities faced by digitizing employee recruitment, and knowing the stages taken to overcome obstacles to digitalizing employee recruitment at PT Patra Jasa.
This research method uses descriptive qualitative research, namely constructive research which is used to examine the condition of natural objects where the researcher is the key instrument. Meanwhile, in collecting data using primary data and secondary data. Primary data: researchers conducted observations, interviews, and documentation, and secondary data was obtained from supporting books about digitizing employee recruitment. Accompanied by data analysis starting from data collection, data presentation, and drawing conclusions.
From the results of this research, it can be seen that PT Patra Jasa, which coincides in Kuningan, South Jakarta, has carried out recruitment via digital, but the Patra Jasa company itself does not yet have a separate portal for employee recruitment, but externally, namely through a job recruitment portal in collaboration with PT Patra Jasa. namely job street.
Optimization Design Method of “Well Factory” Platform Planning and Wellhead Layout for Oil and Gas Development
Authors: Wang Ge , Huang Wenjun , Gao Deli 
Published: September 2024

Summary
“Well factory” refers to the arrangement of multiple or even a large number of similar wells in the same platform and drilling and completing these wells with standardized equipment and a similar operational approach. The well factory mode can effectively handle challenges posed by complex terrains in oceans and mountainous areas and achieve the economical and efficient development of oil and gas resources. However, current design methods of well factory platform planning have not fully considered some important factors including drilling extension limits, 3D well trajectory, and spatial distribution of reservoir target points. Heuristic algorithms often lead to unstable solutions and frequent entrapment in local optima in solving platform planning problems containing multiple drilling mechanism models. A multiobjective optimization design model is built to handle “well factory” platform planning and wellhead layout. The new model is used to focus on minimizing platform quantity, optimizing platform-well matching relationship, minimizing directional drilling total footage, and reducing well trajectory complexity and meanwhile to consider the 3D distribution characteristics of well trajectories under “well factory” mode and the anisotropic features of drilling extension limits. Next, an improved sparrow search algorithm (ISSA) is presented to solve the platform planning model through various update strategies including initial allocation schemes sorting, automatic detection based on the drilling mechanics model, and Levy flight. The results indicate that the ISSA has the advantages of fast escape from local optima, good convergence, and high robustness, and the new model shows excellent flexibility in addressing platform planning problems. After optimization design, the platform number is reduced, the matching relationship between platforms and target points is improved, and total drilling footage and well trajectory complexity are optimized.
A Super Vibration Drag Reduction System Based on Drilling Robot
Authors: Zhao Jianguo , Liang Penghui , He Chao , Xu Jianchao , Chen Bo , Huang Bensheng 
Published: September 2024

Summary
For directional or horizontal wells, friction between the drillstring and the borehole wall has become a significant factor in reducing the rate of penetration, leading to a decrease in weight on bit (WOB) and inefficient rock breaking. Generally, a larger amplitude yields a better oscillation effect. Conventional hydraulic oscillators rely on their inherent inertia to produce oscillating loads. However, the mass of the oscillating load provided by hydraulic oscillators is relatively small compared with the entire pipe string, resulting in limited oscillation amplitude that fails to effectively reduce friction and drag. To enhance the vibration effect and strength of the pipe string, in this article we propose the development of a novel hydraulic oscillation device that utilizes drilling robots for support. The relevant structure of the drilling robot has been designed, and a simulation wellbore experiment platform, based on the drilling robot, has been constructed. The simulation wellbore experiment based on different supporting conditions was completed.
Through analysis of the collected experimental data, it has been observed that the axial and radial vibrations generated by the drilling robot are influenced by its supporting condition. The average acceleration amplitude and frequency of axial vibration without support are measured to be 0.37 m/s² and 8.2 Hz, respectively. In contrast, with supporting conditions, the average axial vibration acceleration amplitude increases to 0.63 m/s², and the frequency reaches 12.8 Hz. Consequently, the axial vibration intensity of the drilling robot is significantly higher when the drilling robot is supported. The average acceleration amplitude and frequency of radial vibration without support are 0.83 m/s² and 20.4 Hz, respectively. However, with supporting conditions, the average radial vibration acceleration amplitude drops to 0.43 m/s², and the frequency decreases to 12.2 Hz. The average axial vibration displacement amplitude of the supported drilling robot measures 50.2 mm, which is much greater than that of a typical hydraulic oscillator. Moreover, the WOB of the drilling robot with support is considerably higher compared with the unsupported drilling robot. By employing supporting conditions, the drilling robot can improve the transmission efficiency of drilling pressure and minimize the damage caused by radial vibration to downhole tools.
Effect and Mechanism of Zirconium Crosslinker on Retarding Degradation of HPAM/PEI Gel System in Medium-Salinity Reservoirs
Authors: Wang Kai , Luo Mingliang , Pu Jingyang , Gou Congbo , Li Mingzhong , Sun Zhilin , Pu Chunsheng 
Published: September 2024

SummaryThe objective of this paper is to investigate the effect of the addition of zirconium crosslinker on retarding the degradation of the partially hydrolyzed polyacrylamide/polyethyleneimine (HPAM/PEI) gel system. Dehydration and degradation under salinity conditions pose serious challenges to the effectiveness of the HPAM/PEI system used for water control treatment in heterogeneous reservoirs. In this study, rheological tests, Fourier transform infrared (FTIR) spectroscopy, and 13C nuclear magnetic resonance (NMR) spectroscopy are used to elucidate the characteristics and mechanisms of dehydration and degradation of HPAM/PEI gel in medium-salinity conditions. The effects of three types of zirconium crosslinkers on the gelation performance of the HPAM/PEI system are evaluated. Furthermore, the mechanism by which an organic zirconium complex (ZrOr complex) with triethanolamine (TEA) and lactic acid (LA) as ligands improves the stability of the HPAM/PEI system under medium-salinity conditions is revealed. The results indicate that ZrOr complex notably retards the degradation of the HPAM/PEI system under medium-salinity conditions (50 g/L) for more than 60 days while improving its gel strength. TEA and LA as ligands have a positive effect on crosslinking of HPAM with the organic Zr4+ complex by modulating the availability of Zr4+ and the homogeneity of the crosslinking reaction. Specifically, our data suggest that TEA stabilized Zr4+ and retarded its release through its chelating effect, while LA improved the efficiency and effectiveness of the crosslinking reaction by increasing the solubility of Zr4+ and providing additional carboxyl groups. The synergistic effect of the two ligands significantly improved the properties of the final crosslinked product. Evidence from FTIR, 13C NMR, and microstructural tests supports the conclusion that the retardation of degradation and enhancement of gelation performance in the HPAM/PEI system by ZrOr complex are associated with its crosslinking with carboxyl groups produced by HPAM hydrolysis, leading to the formation of a more uniform and compact network structure. A field trial conducted in the Beiyao Block demonstrated the potential of the ZrOr complex to extend the treatment lifetime of the HPAM/PEI gel system in medium-salinity reservoirs.
Gas Reservoir Identification Based on Nonstationary and Anisotropic FFT-MA Stochastic Modeling
Authors: Zeng Fanxin , Zhang Hongbing , Zhang Lingyuan , Zhang Dailu , Zhao Xiang , Ren Quan , Zhu Xinyi , Zhu Xinjie 
Published: September 2024

Summary
High-resolution reservoir modeling is a crucial technique for the precise identification of gas reservoirs, holding significant importance in guiding natural gas development. However, the nonstationarity and statistical anisotropy of subsurface media present immense challenges to the reliable implementation of high-resolution reservoir modeling. In response to the nonstationarity and anisotropy of complex reservoirs, we propose a novel stochastic modeling method based on fast Fourier transform moving average (FFT-MA). In this method, variational mode decomposition (VMD) is introduced to decompose logging curves into a series of sparse components with specific center frequencies and narrow bandwidths. Subsequently, the autocorrelation functions of each component are computed and synthesized, thereby inferring the nonstationary vertical autocorrelation functions of logging curves. In addition, to characterize the anisotropic and lateral nonstationary features of the reservoir, angle parameters and lateral autocorrelation functions are extracted from seismic records. Lastly, considering the high sensitivity of Lamé constants (λ and μ) and their density-combined counterparts (λρ and μρ) to gas-bearing reservoirs, FFT-MA stochastic modeling is applied to λρ, μρ, and ρ. Gas identification is then performed based on the joint probability distribution extracted from logging data. The proposed method is tested in the sand-shale reservoirs of the Yinggehai Basin, China. The results indicate that the stochastic models for λρ, μρ, and ρ effectively characterize the nonstationary and anisotropic features of complex reservoirs, significantly enhancing the resolution and accuracy of gas identification.
Wheat peptides alleviate constipation by promoting enteric neurogenesis via mAChR-mediated calcium signaling pathways in mice
Authors: Wang Qianqian , Shen Fei , He Guanghua , Du Juan , Cai Haiying , Zhao Minjie , Wang Jing , Zhao Haobin , Wang Lida , Feng Fengqin 
Published: September 2024

Abstract

Constipation is a prevalent gastrointestinal issue. Wheat peptides (WP) effectively alleviate loperamide-induced constipation in mice. Oral administration of WP (0.5 mg/g.bw) improved defecation, small intestinal propulsion, and intestinal barrier function in mice. WP also modulated gut inflammation and enteric nervous system factors. Additionally, WP intervention effectively rectified gut microbiota dysbiosis by restoring microbial diversity and modulating gut bacteria to approach normal levels. Of particular significance, transcriptome data indicated alterations in gene expressions related to the calcium signaling pathway in the colon of constipated mice. RT-qPCR analysis further corroborated that WP upregulated the gene expression of cholinergic receptor (Chrm1), Itpr2/3, Calml3, and Calm4. Furthermore, 3D microscopy revealed that WP increased the number of enteric nerves in the colon of constipated mice. These findings suggest WP mitigate constipation by activating muscarinic acetylcholine receptors, enhancing calcium signaling, and promoting enteric neurogenesis to improve intestinal peristalsis. Overall, WP demonstrate therapeutic potential for treating constipation.
Deep learning-based building and road detection reveals higher permafrost thaw-related damage costs than previously estimated for Alaska
Authors: Manos Elias , Witharana Chandi , Liljedahl Anna 
Published: September 2024

Abstract

Arctic infrastructure is challenged by ice-rich permafrost thaw that causes differential ground subsidence. Economic impact estimates of permafrost thaw damages require accurate infrastructure inventories. We developed a deep learning-based mapping pipeline, HABITAT (High-resolution Arctic Built Infrastructure and Terrain Analysis Tool), to automatically detect infrastructure from Maxar satellite imagery in 285 Alaskan communities. Combining HABITAT with OpenStreetMap (OSM), we mapped a building footprint of 53M m 2 and a road network of 50,477 km across Alaska. HABITAT adds 17M m 2 to the statewide building footprint not accounted for by OSM and 6M m 2 within discontinuous and continuous permafrost. We identified at-risk infrastructure on discontinuous and continuous permafrost with bearing capacity loss and ground subsidence between the decades 2015–2024 and 2055–2064 projected by a permafrost geotechnical model. Projected permafrost thaw damages to buildings and roads could cost Alaska $51.4B. This is $21.7 to $43.2B more than estimates from previous literature due to the additional building footprint mapped by HABITAT. Several communities bearing the highest of this cost are identified in a government report as already experiencing the effects of permafrost thaw. Additionally, communities with high social vulnerability may experience higher economic losses that further challenge mitigation and disaster recovery efforts.
Arginine vasopressin promotes transient contractile responses through distinct mechanisms in rat aorta and mesenteric resistant arteries
Authors: Yang Aihua , Zhang Yifeng , Wang Yuhang , Wang Xiaojun , Bao Haiyong , Ren Jun , Zhu Weizhong 
Published: September 2024

Abstract

Purpose Neurohormone-regulated peripheral vascular resistance is considered one of the factors governing blood pressure. This study was designed to evaluate the effect of arginine vasopressin (AVP) on contraction of endothelium-intact or -denuded rat aorta and mesenteric resistant arteries.
Methods The wire myograph technique was used to assess the contractility of the vascular smooth muscles in response to a high-K+, phenylephrine, AVP, and inhibitors, etc. The time-course of agonist-evoked contraction was then recorded. The endothelium of the mesenteric resistance arteries and abdominal aorta were denuded by physical abrasion, as evidenced by acetylcholine-induced vasodilation dysfunction.
Results Our result revealed that (1) AVP, but neither high K+ nor phenylephrine, evoked transient contraction of abdominal aorta and mesenteric resistance arteries; (2) Endothelial removal, V2 receptor antagonists, sGC inhibitors, or nitric oxide(NO) synthase inhibitors reversed the transient contraction of mesenteric resistance arteries into sustained contraction, but not in aorta;(3) Pharmacological inhibition of GRK2 altered AVP-elicited temporal contractile response into a sustained contraction in denuded aortic endothelium;(4) The vasopressin receptor V1A blocker abolished AVP-induced contractile responses in both vessel preparations.
Conclusion V2-mediated NO pathway in endothelium and the V1A-mediated GRK2 signaling pathways in smooth muscle are involved in AVP-induced transient contractions in rat mesenteric resistance and aortic vessels, respectively.
Utilization of Satellite Imagery and Machine Learning for Mapping Landslide-Prone Areas in Banjarnegara Regency, Central Java Province
Authors: Alifka Almastiana , Prasetyo Rindang Bangun 
Published: September 2024

Abstract

The high risk of landslides in Banjarnegara Regency requires preparedness for the potential for landslides. One way that can be utilized by the government and the community is to use a mitigation map that illustrates the vulnerability of landslides in Banjarnegara Regency. This study aims to produce a landslide sus-ceptibility map with satellite imagery and the best machine learning model. The variables used in this study include rainfall, soil type, geology, aspect, curvature, slope gradient, elevation, TWI, NDWI, NDVI, NDBI, and land cover. Based on the results obtained using the Random Forest, Support Vector Machine, Logistic Regression, and Artificial Neural Network models, in 2021 and 2022, the Random Forest model had the best performance with an accuracy of 82.50% and 88.46%, respectively, while in 2022 the model with the best performance was the Support Vector Machine with an accuracy of 86.84%.
Comparative Study on the Effects of High-Fat Diet and Capsicum Diet on the Digestive Organs of Guinea Pigs
Authors: Guan Wen-Xiang , Lan Zhuo , Luo Xiao-Jun , Gao Jing-Xian , Bai Chang-xi 
Published: September 2024

Abstract

Research Objective: To clarify the different effects of high-fat diet and capsicum diet on the digestive organs of guinea pigs. Experimental Methods: A total of 24 male Hartley guinea pigs were apportioned randomly and equally into three groups: the control group (n=8), the high-fat diet group (n=8), and the capsicum diet group (n=8). After 12 weeks of modeling, samples were collected from the abdominal aorta serum, liver, gallbladder, stomach, and colon. Biochemical analysis for the serum total cholesterol, triglycerides, low-density lipoprotein, and high-density lipoprotein cholesterol. Inflammatory markers in the serum, such as interleukin-1β, interleukin-6, and tumor necrosis factor-α, were measured by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining (H-E) was used to observe morphological changes in the liver, gallbladder, stomach, and colon tissues. Compared with the normal control group, both high-fat and capsicum diets significantly elevated blood lipid levels and inflammatory indexes in the serum of guinea pigs (P<0.01), with the effects being more pronounced in the high-fat diet group (P<0.001). Pathological results indicated that both high-fat and capsicum diets induce damage to the liver, stomach, gallbladder, and colon, with the high-fat diet showing particularly significant effects. Conclusion: Consuming high-fat and capsicum foods may induce damage to the digestive system, resulting in abnormal lipid metabolism.
Landslide susceptibility assessment based on ConvNext in Longyang district of Baoshan city, China
Authors: Zhao Xiangwei , Ma Haoquan , Niu Chong , Gao Lei , Kong Xianghui 
Published: September 2024

Abstract

Landslide is a common type of geological disaster in the world, which causes great harm to people's life and financial security. The evaluation of landslide susceptibility plays an important role in the prevention of landslide disaster, and has always been the focus of research in this field. In order to establish an accurate landslide susceptibility evaluation model, this paper takes Longyang District, Baoshan City, Yunnan Province, China as the research area, and comprehensively considers 10 evaluation factors such as elevation, slope, slope direction, lithology, water system, residential area, highway, terrain, Normalized Difference Vegetation Index(NDVI) and rainfall to establish a landslide susceptibility evaluation model based on ConvNeXt. More than 27000 sample data were used for model training, and the spatial distribution map of landslide susceptibility was obtained by using the trained model to predict the study area. Comparing this model with three typical landslide susceptibility evaluation models based on ResNet and Support Vector Machine(SVM), the performance indicators Area Under Curve(AUC) values of the three models were 0.97, 0.77, and 0.65, respectively, with accuracies of 0.92, 0.70, and 0.69, indicating that the landslide susceptibility evaluation model based on ConvNeXt proposed in this paper has significant advantages.The landslide susceptibility can be accurately evaluated, and the scientific basis for the prevention and control of landslide disasters can be provided.
Intercropping effects of agro-crops under walnut forests in Wuxi, Chongqing, China: soil environment, walnut growth and intercropping benefits
Authors: Liu Jianke , Wang Jingru , Wu Shuang , Zhang Jiatian , Zhang Xiaodan , Chang Jun , Yang Shuiping 
Published: September 2024

Abstract

Walnut is an important woody oil-bearing tree crops, and the compound planting with agro-crops can provide a solution to food shortages. This study focuses on two monoculture planting patterns (bare soil and retaining grass) and four common local intercropping planting patterns in Wuxi County, Chongqing City, China, investigating soil physical and chemical properties, microbial diversity, walnut growth and mineral nutrition, as well as the yield and benefit of walnuts and agro-crops. The results showed that: (1) Intercropping treatments and retaining grass can reduce soil bulk density, increase soil moisture content, and significantly enhance both soil total porosity and capillary porosity. (2) Intercropping treatments and retaining grass can significantly lower soil pH and increase the content of soil organic matter, total nitrogen, total phosphorus, available phosphorus, available potassium, available zinc, and available manganese. Intercropping with soybeans can significantly decrease the available copper content in soil, while intercropping with chili peppers can significantly reduce the alkaline hydrolyzable nitrogen content in the soil. (3) Except for the intercropping with tobacco, which slightly reduces soil fungal community diversity, retaining grass and other intercropping treatments can significantly increase both the richness and diversity of soil bacterial and fungal communities. (4) Retaining grass and intercropping treatments increased the annual increment in walnut tree meter diameter, spring shoot length, and the nitrogen and manganese content of leaves. They also significantly increased leaf length, width, thickness, and magnesium content. Intercropping with soybeans significantly increased the length of summer shoots and significantly reduced leaf moisture content as well as the content of potassium, calcium, and copper. Intercropping with chili peppers significantly increased the length of summer shoots and significantly reduced leaf moisture content and potassium, copper, and zinc content. (5) Intercropping treatments significantly increased the yields and benefits of walnuts. Among these treatments, intercropping with chili peppers provides the highest benefits, while intercropping offers the lowest. However, retaining grass resulted in no output or benefits from agro-crops. Intercropping planting patterns not only significantly improve the soil environment and promote walnut growth but also increase yield and benefits. Additionally, retaining grass contributes to the improvement of soil environment to a certain extent, further promoting walnut growth.