An Efficient Interpretable Visualization Method of Multidimensional Structural Data Matching Based on Job Seekers and Positions

With the rapid development of Internet technology, millions of small, medium, and microenterprises are using Internet recruitment platforms to host their recruitment information. They have different job requirements and benefits positions. It is important to understand them for job seekers when choosing a position. Existing Internet recruitment platforms do not provide a detailed analysis of positions and visual methods for multidimensional matching of positions and job applicants. Candidates need to spend a lot of energy to screen out suitable positions. In this paper, we propose an efficient interpretable visualization method of multidimensional structural data matching based on job seekers and positions. First, we extract the keywords of the job seeker’s ability and benefits based on personal information, and we generate a job seeker ability table and a job seeker demand table. After that, we calculate the degree of the support, confidence, and promotion of each rule through the association rules generated by each frequent itemset of recruitment data to obtain the association rule table. We further explore the relationship between the skills required for the three types of positions based on the association rule. Finally, we use the regression method to build a salary forecasting model. On this basis, we predict the salary of job seekers based on the work experience, education, and work city provided by the job seeker. Simulation results show that our method has better performance on the job analysis and recommendation.

New species of Nearctic oak gall wasps (Hymenoptera: Cynipidae, Cynipini)

Twenty nine new species of cynipid oak gall wasps from the Nearctic region (America north of Mexico) are described: Andricus archboldi Melika & Abrahamson, sp. nov., A. catalinensis Melika, Nicholls & Stone, sp. nov., A. chapmanii Melika & Abrahamson, sp. nov., A. chiricahuensis Melika, Nicholls & Stone, sp. nov., A. coconinoensis Melika, Nicholls & Stone, sp. nov., A. columbiensis Melika, Nicholls & Stone, sp. nov., A. cooki Melika, Nicholls & Stone, sp. nov., A. fitzpatricki Melika & Abrahamson, sp. nov., A. highlandensis Melika, Nicholls & Stone, sp. nov., A. mellificus Nicholls, Stone & Melika, sp. nov., A. menkei Melika & Abrahamson, sp. nov., A. mogollonensis Melika, Nicholls & Stone, sp. nov., A. nichollsi Melika & Stone, sp. nov., A. schickae Nicholls, Melika & Stone, sp. nov., A. torreyaensis Melika & Abrahamson, sp. nov., A. williami Melika, Nicholls & Stone, sp. nov., Antron lovellae Melika, Nicholls & Stone, sp. nov., A.tomkursari Melika, Nicholls & Stone, sp. nov., Dryocosmus archboldi Melika & Abrahamson, sp. nov., Loxaulus virginianae Melika & Buss, sp. nov., Neuroterus alexandrae Nicholls & Melika, sp. nov., N. aliceae Melika, Nicholls & Stone, sp. nov., N. bussae Melika & Nicholls, sp. nov., N. oblongifoliae Nicholls, Stone & Melika, sp. nov., N. quaili Melika, Nicholls & Stone, sp. nov., N. rosieae Melika, Nicholls & Stone, sp. nov., N. stonei Melika & Nicholls, sp. nov., Zapatella abrahamsoni Melika, sp. nov., Z. brooksvillei Melika & Abrahamson, sp. nov.. Alternate asexual and sexual generations are described for four species, Andricus archboldi Melika & Abrahamson, sp. nov., A. fitzpatricki Melika & Abrahamson, sp. nov., A. schickae Nicholls, Melika & Stone, sp. nov., Neuroterus aliceae Melika, Nicholls & Stone, sp. nov.. Descriptions, diagnoses, plus information on biology and host associations are given for all new species. All taxa are supported by morphological data; matching of generations is established using DNA sequence data. We also demonstrate that Neuroterus niger var. alimas Kinsey should be considered as a nomen dubium.

Impact of Diagnosis-Related Group Payment System on the Variation in Hospitalization Expenditures: A Case-Control Study with a Propensity-Score-Matched Control Group

Background One of the important ways to reduce medical costs and improve quality of care is to enable physicians to provide standard medical services according to clinical guidelines, and the medical payment system is a significant means of guiding the behaviour of health service providers. This study aims to investigate whether the diagnosis-related group (DRG) payment system can improve the consistency of health services. Method Inpatients with three types of disease—chronic obstructive pulmonary disease (COPD), acute myocardial infarction (AMI) and cerebral infarction (CI)—were enrolled from 25 county-level hospitals in a DRG pilot city in China. Inpatients from hospitals that implemented DRG payment were selected as the intervention group, and similar inpatient cases from hospitals that still implemented fee-for-services (FFS) payment were designated as the control group. A propensity matching score (PSM) was used for data matching to control for age, gender and disease severity. The variation of hospitalization expenditures and their trends before and after implementation of the DRG policy were described by using these matched samples. Results After DRG implementation, the standard deviation (SD) of hospitalization expenditures in the COPD, AMI and CI intervention groups decreased by 11094 yuan, 4833 yuan and 425 yuan, respectively, which were 5972, 2484, and 2938 yuan more than that in the control group. In each year after DRG implementation, the interquartile range (IQR) of hospitalization expenditures was smaller in DRG group than that in FFS group. In most years, the degree of variation in costs of the intervention group decreased more than that of the control group. The medians of hospitalization expenditures of the intervention groups were lower than the fixed cost, while most medians of the control groups were higher than the fixed cost. Conclusion A comparison of patients with similar demographics and disease characteristics revealed that patients in the DRG group experienced a smaller degree of variation in hospitalization expenditures, and indicated the expenditures had a tendency to become progressively more concentrated over time. It is suggested that DRG system can promote better consistency in health services and reduce medical costs.

Effective prediction of lost circulation from multiple drilling variables: a class imbalance problem for machine and deep learning algorithms

Multiple machine learning (ML) and deep learning (DL) models are evaluated and their prediction performance compared in classifying five wellbore fluid-loss classes from a 20-well drilling dataset (Azadegan oil field, Iran). That dataset includes 65,376 data records with seventeen drilling variables. The dataset fluid-loss classes are heavily imbalanced (> 95% of data records belong to the less significant loss classes 1 and 2; only 0.05% of the data records belong to the complete-loss class 5). Class imbalance and the lack of high correlations between the drilling variables and fluid-loss classes pose challenges for ML/DL models. Tree-based and data matching ML algorithms outperform DL and regression-based ML algorithms in predicting the fluid-loss classes. Random forest (RF), after training and testing, makes only 35 prediction errors for all data records. Consideration of precision recall and F1-scores and expanded confusion matrices show that the RF model provides the best predictions for fluid-loss classes 1 to 3, but that for class 4 Adaboost (ADA) and class 5 decision tree (DT) outperform RF. This suggests that an ensemble of the fast to execute RF, ADA and DT models may be the best way to practically achieve reliable wellbore fluid-loss predictions. DL models underperform several ML models evaluated and are particularly poor at predicting the least represented classes 4 and 5. The DL models also require much longer execution times than the ML models, making them less attractive for field operations that require prompt information regarding rapid real-time decision responses to pending class-4 and class-5 fluid-loss events.

A Deep-Learning-Inspired Person-Job Matching Model Based on Sentence Vectors and Subject-Term Graphs

In this study, an end-to-end person-to-job post data matching model is constructed, and the experiments for matching people with the actual recruitment data are conducted. First, the representation of the constructed knowledge in the low-dimensional space is described. Then, it is explained in the Bidirectional Encoder Representations from Transformers (BERT) pretraining language model, which is introduced as the encoding model for textual information. The structure of the person-post matching model is explained in terms of the attention mechanism and its computational layers. Finally, the experiments based on the person-post matching model are compared with a variety of person-post matching methods in the actual recruitment dataset, and the experimental results are analyzed.

Clinical Characteristics, Laboratory Profiles, And Treatment Modalities for Familial Hypercholesterolemia in Egypt

Aims The aim of the Familial Hypercholesterolemia Research Collaboration (FHRC) is to collect date about the clinical, laboratory phenotypes, and treatment strategies of patients with FH all over the world. We present the Egyptian data of this international registry. Methods and Results An online electronic case report form (e-CRF) was prepared to collect data matching the protocol of the FHSC of the European Atherosclerosis Soci- ety (EAS). From August 2017 to March 2021, a total of 228 cases with FH (46% males, mean age 48 ± 14 years) were enrolled. About 71% of whom came from urban areas. The mean Body Mass Index (BMI) was 30 ± 4.9 kg/m2. The most commonly reported concomitant risk factor was hypertension (39%), followed by smoking (22%), and then DM (18%). Median time from diagnosis to enrolment was 7 (range 0.5-20) years. The vast majority (99.1%) were diagnosed based on the Dutch Lipid Clinic criteria, with 14%, 11% and 75% in the definite, probable, and possible categories respectively. Genetic test was performed in only 1 patient, in which the defect was heterozygous FH (defective ApoB). Mean baseline levels for total cholesterol was 316±86 mg/dl, median (ranges) for triglycerides was 190 (38-1400) mg/dl, for LDL-C was 237±77 mg/dl and for HDL-C was 47±14 mg/dl. Importantly, the mean Lp(a) was 42±12 mg/dl. All but one patient received lipid lowering therapy. Statins were prescribed in 226 out of 228 patients enrolled (99.1%). Statin prescriptions were equally distributed between Atorvastatin and Rosuvastatin (41% for each). Forty five percent received monotherapy and 56% received combination therapy (most commonly with Ezetimibe [55.7%], then with Fibrates [7.9%], then with proprotein con- vertase subtilisin/kexin type 9 (PCSK-9 inhibitors) [2.6%], and finally with Omega-3 fatty acids [0.9%]). Only one patient received lipoprotein apheresis. Conclusion The Egyptian part of the FHRC, to the best of our knowledge, is the first FH registry in Egypt. Our data show that the e-CRF system is feasible and reliable. The phenotype of enrolled FH cases showed higher female preponderance, very high lipoprotein levels, and unfortunately inadequate therapeutic interventions (with un- derutilization of PCSK-9 inhibitors). This is a call to action in order to mitigate these management gaps for this high-risk group.