Miracle-dz/UniFAR-FTUs huggingface dataset:
XGBoost Formation Thickness Identification Based on Logging Data

Based on research on the response mechanism of formation and reservoir response to logging curves, 12 logging curves were selected in combination with formation depth characteristics, and 4 algorithms were used to identify the formation and reservoir: logistic regression (LR), support vector machine (SVM), random forest (RF), and XGBoost. In the study block, 57 wells out of 60 wells were selected for training and learning, and the remaining three wells were used as prediction samples. The recognition of formation thickness and reservoirs is performed by each of these four machine learning algorithms, and predictive knowledge is obtained separately. It was found that the accuracy of the four algorithms for formation thickness and reservoir layer identification reached over 90%, but the XGBoost algorithm was found to be the best in terms of the four scoring criteria of F1-score, precision, recall, and accuracy. The accuracy of formation thickness identification could reach over 95%, and the correlation analysis between the logging curve and formation thickness could be performed on this basis. The results show that RMN, RLLD, and RLLS have the most obvious response to the sandstone layer, off-surface reservoir, and effective thickness layer, while CAL has the least effect on formation and reservoir identification, which can provide an effective reference for the selection and downscaling of subsequent logging curves.
The Types of Learning Approaches Used by Engineering Students in Three Scenarios: An Adaptation of the R-SPQ-2F to China

Deep learning is a type of high-level learning that has received widespread attention in research on higher education; however, learning scenarios as an important variable have been ignored to some extent in past studies. This study aimed to explore the learning state of engineering students in three learning scenarios: theoretical learning, experimental learning, and engineering practice. Samples of engineering university students in China were recruited online and offline; the students filled in the engineering Education-Study Process Questionnaire, which was revised from the R-SPQ-2F. The results of clustering analysis showed four types of learning approaches in the three scenarios: typical deep learning, typical shallow learning, deep-shallow learning, and free learning. Engineering learners in different learning scenarios tended to adopt different learning approaches and showed gender differences. Due to factors such as differences in culture and choice of learning opportunities, the deep and shallow learners demonstrated excellent learning performance, which is in sharp contrast with the “learning failure” exhibited by such students abroad.
Towards Understanding the Geometry of Knowledge Graph Embeddings

Knowledge Graph (KG) embedding has emerged as a very active area of research over the last few years, resulting in the development of several embedding methods. These KG embedding methods represent KG entities and relations as vectors in a high-dimensional space. Despite this popularity and effectiveness of KG embeddings in various tasks (e.g., link prediction), geometric understanding of such embeddings (i.e., arrangement of entity and relation vectors in vector space) is unexplored – we fill this gap in the paper. We initiate a study to analyze the geometry of KG embeddings and correlate it with task performance and other hyperparameters. To the best of our knowledge, this is the first study of its kind. Through extensive experiments on real-world datasets, we discover several insights. For example, we find that there are sharp differences between the geometry of embeddings learnt by different classes of KG embeddings methods. We hope that this initial study will inspire other follow-up research on this important but unexplored problem.
- 1-DATABASE MERGING STRATEGY BASED ON LOGISTIC REGRESSION

With the development of network technology, the users looking for information may send a request to various selected databases and then inspect multiple result lists. To overcome such multiple inspections, the database merging strategy involves the merging of the retrieval results produced by separate, autonomous servers into an effective, single ranked list. To achieve this merging, this study is concerned with a particular situation within which only the rank of the retrieved records is available as a key to combine different result lists. Based on this rather limited information, this paper describes the theoretical foundation and retrieval performance of our database merging approach based on the logistic regression.
The Variation of Human Color Vision in Bogor

RULLY SETIANA. The Variation of Human Color Vision in Bogor. Supervised by KANTHI ARUM WIDAYATI and BAMBANG SURYOBROTO. Human trichromacy depend on three different opsin types. The absence of one opsin type causes dichromacy. Human dichromacy has been studied for its variation and frequency. In this study, I observed human color vision variation and frequency in Bogor. There was no exact data about human color vision and its frequency in Indonesia, especially in Bogor. I used cross sectional sampling method to analyze 443 male and 579 female respondents to determine the frequency of color vision variation. The respondesnt were examined using Ishihara Test. The result showed that the frequency of human dichromacy in Bogor was 1.86%. The frequency of male dichromacy was 4.06% and female dichromacy was 0.17%, and only 31.57% of them aware that they were a dichromat. This number was similiar or higher than another Asian and Eastern people dichromacy but lower than European, American, and other Western people. Keyword: color vision, Bogor, variation. Skripsi sebagai salah satu syarat untuk memperoleh gelar Sarjana Sains pada Departemen Biologi THE VARIATION OF HUMAN COLOR VISION IN BOGOR
Effect of Rumen-protected Choline Addition on Milk Performance and Blood Metabolic Parameters in Transition Dairy Cows

This work was conducted to study the effect of rumen-protected choline (RPC) addition on milk performance and blood metabolic parameters in transition dairy cows. In Experiment 1, fourteen Chinese Holstein dairy cows were supplemented with 0 or 20 g/d of RPC from 7 d before expected calving to 21 d post partum. Feeding of RPC tended to increase milk yield and milk protein percentage, while milk fat and lactose percentage were not changed. Plasma concentrations of glucose tended to increase as cows consumed RPC, while plasma concentrations of triglycerides, very low density lipoproteins, cholesterol and nonesterified fatty acids were not significantly different between the two groups. In Experiment 2, thirty-six Chinese Holstein dairy cows were supplemented with 0, 30, 60 or 90 g/d RPC from 15 d before expected calving to 15 d post partum. Feeding of RPC tended to increase yield of milk and 4% fat-corrected milk for all the lactating cows, and milk composition was similar among the four groups. Plasma concentrations of glucose were remained at a higher level in 30 or 60 g/d RPC-supplemented groups, and nonesterified fatty acids were decreased in the 30 g/d group. Concentrations of triglycerides tended to reduce in 30 and 90 g/d RPC-supplemented animals, and cholesterol was reduced in 0 or 30 g/d group. 'these results suggest that RPC addition tended to increase milk yield and improve blood metabolic parameters during transition dairy cows, and feeding 30 g/d of RPC may be the optimal.
Cigarette Mainstream Smoke: The Evolution of Methods and Devices for Generation, Exposure and Collection

SUMMARY The objective of this review is to support tobacco scientists when evaluating information published on smoking machines, and on cigarette mainstream smoke (in vivo and in vitro) exposure systems and collection devices. The intriguing development of smoking machines (mainly for cigarettes) is followed for more than 170 years - from the first simple set-ups in the 1840s to the sophisticated and fully automated analytical smoking machines available today. Systems for the large-scale production of smoke (condensate) for preparative work are equally considered. The standardization of machine smoking methods and test pieces has solved several technical problems and produced sensible rules but, at the same time, given rise to new controversies like the compatibility of artificial and human smoking, and the implementation of more intense machine smoking regimes. Adequate space is allotted for the discussion of configurations for in vivo smoke exposure of rodent and non-rodent species and the machines generating the required smoke (condensate). Covered as well is the field of in vitro toxicity testing, including the increasingly informative new techniques of air-liquid interface exposure, which are becoming more and more refined with the use of organotypic cultures and genetic analyses. The review is completed by the examination of the considerable variety of mainstream smoke collection devices (filters and traps) developed over time - some for very specific purposes - and refers to the perpetual problem of artifact formation by aging.
Trajectories of Limitations in Instrumental Activities of Daily Living in Frail Older Adults With Vision, Hearing, or Dual Sensory Loss.

BACKGROUND This study investigated the trajectories of decline in individual instrumental activities of daily living (IADL) with aging and the effect of hearing loss, vision loss, or dual sensory loss on these trajectories in community-living frail older persons. METHOD This longitudinal population-based study was conducted in 9,319 community-living frail Dutch persons aged 60 years and older. Self-reported hearing loss, vision loss, or dual sensory loss and nine IADL were assessed in 15 studies of the Dutch National Care for the Elderly Program (The Older Persons and Informal Caregivers Survey Minimum Dataset). Probabilities of limitations in IADL, odds ratios (per 5 years) for binary, and rate ratios (per 5 years) for score outcomes were calculated using mixed logistic and negative binomial models with age as the underlying timescale, stratified by sensory loss, and corrected for confounders. RESULTS At baseline, the number of IADL limitations was higher in dual sensory loss (2.00 [interquartile range 1.00-4.00]) and vision loss (2.00 [interquartile range 1.00-4.00]) compared to no sensory loss (1.00 [interquartile range 0.00-2.00]) or hearing loss (1.00 [interquartile range 0.00-3.00]). Trajectories of individual IADL showed an increase in limitations in all IADL with age. Household tasks, traveling, shopping, preparing a meal, and walking showed the most rapid decline. Handling finances, traveling, and walking followed a different pattern of decline based on sensory loss status. CONCLUSIONS The age effect on limitations in IADL appears to be similar across all types of sensory loss, with the exception of handling finances, traveling, and walking. At baseline, persons with self-reported sensory loss had higher levels of self-reported functional limitations. Trajectories depict a decline in IADL competence with age.
The Incidence of Glenohumeral Bone and Cartilage Lesions at the Time of Anterior Shoulder Stabilization Surgery: A Comparison of Patients Undergoing Primary and Revision Surgery

Background: Intra-articular glenohumeral joint changes frequently occur after shoulder instability events. Purpose: (1) To compare demographic characteristics, baseline patient-reported outcomes, and intraoperative findings for patients undergoing primary or revision shoulder stabilization surgery and (2) to determine the incidence of glenohumeral bone and cartilage lesions in this population while identifying factors independently associated with these lesions. Study Design: Cross-sectional study; Level of evidence, 3. Methods: The Multicenter Orthopaedic Outcomes Network (MOON) Shoulder Group shoulder instability database was used to identify all prospectively enrolled patients undergoing shoulder stabilization surgery for anterior instability between October 2012 and September 2016. Any patient who underwent surgery for posterior or multidirectional shoulder instability or concomitant rotator cuff repair surgery was excluded. Patient demographic characteristics, preoperative patient-reported outcomes, and intraoperative findings, including glenohumeral bone and cartilage lesions, were compared for patients undergoing primary and revision shoulder stabilization surgery. Additionally, patients with and without glenohumeral bone and cartilage lesions were compared and independent associations determined using multivariate analysis. Results: There were 545 patients available for analysis (461/545 [84.6%] primary; 84/545 [15.4%] revision). Patients undergoing revision surgery were older (P = .001), were more frequently smokers (P = .022), had a greater number of instability events before surgery (P = .047), more frequently required reduction assistance (P < .001), and had lower Short Form–36 (SF-36) Mental Component Summary (P = .020) and Western Ontario Shoulder Instability Index (WOSI) (P = .026) scores preoperatively. Additionally, patients undergoing revision surgery had a higher frequency of bone and cartilage lesions than those undergoing primary surgery (47.6% vs 18.4%, respectively; P < .001). Male sex, revision surgery, black race, increasing body mass index, increasing patient age, and lower preoperative SF-36 Physical Component Summary score were independently associated with the presence of glenohumeral bone and cartilage lesions at the time of shoulder stabilization surgery. Revision surgery was strongly associated with the presence of glenohumeral bone and cartilage lesions (odds ratio [OR], 4.381 [95% CI, 2.591-7.406]) and glenoid bone loss greater than 10% (OR, 9.643 [95% CI, 5.128-18.134]) or 20% (OR, 13.076 [95% CI, 5.113-33.438]) of the glenoid width. Conclusion: Glenohumeral bone and cartilage lesions are common at the time of shoulder stabilization surgery, occurring more frequently in patients undergoing revision surgery as compared with primary surgery. On the basis of these findings, future prospective studies should aim to compare the clinical outcomes in these 2 groups.
Six-Month Effectiveness of Remote Activity Monitoring for Persons Living With Dementia and Their Family Caregivers: An Experimental Mixed Methods Study

Background and Objectives This study aimed to evaluate if and how remote activity monitoring (RAM) improves caregiver outcomes for family members providing care for persons living with Alzheimer's disease or a related dementia (ADRD). Research Design and Methods We conducted an embedded experimental mixed methods study of 132 persons living with ADRD and their family caregivers (n = 64 randomly assigned to RAM treatment condition). In addition to baseline and 6-month quantitative survey data on context of care, primary objective stressors, resources, self-efficacy/competence, and distress collected from caregivers, 6-month RAM review checklists contained open-ended, qualitative information on perceived acceptability of the technology. Results The RAM system did not exert statistically significant effects on caregiving outcomes over a 6-month period. However, qualitative analyses identified several potential moderators of RAM technology effectiveness that were subsequently tested in post-hoc repeated measures analyses of variance. Caregivers who utilized RAM technology and cared for relatives with: (a) less severe cognitive impairment; and (b) difficulty navigating around the home were more likely to indicate statistically significant increases in competence and self-efficacy, respectively. Discussion and Implications We found that the early months spent calibrating and modifying RAM are potentially challenging for families, which may prevent this technology from improving caregiving outcomes during initial months of use. Remote activity monitoring may work optimally for caregivers of persons living with ADRD in specific situations (e.g., earlier stages of dementia; wandering risk), which suggests the need for appropriate needs assessments that can better target such innovations.
Improving the identification and treatment of depression in low-income primary care clinics: a qualitative study of providers in the VitalSign6 program.

QUALITY PROBLEM Despite its global burden and prevalence, Major Depressive Disorder often goes undetected and untreated, and is particularly pervasive in the primary care setting. INITIAL ASSESSMENT One in four Texans lack health insurance, and people with behavioral health disorders are disproportionately affected. It is possible to provide high-quality depression treatment in primary care settings with outcomes equal to those provided by specialty care. The Center for Depression Research and Clinical Care offered an opportunity to transform service delivery practices in underserved primary care practices to improve quality, health status, patient experience and coordination. CHOICE OF SOLUTION A point-of-care, web-based, self-report based software program, VitalSign6, was developed to provide universal depression screening in primary care practices and assist providers in monitoring and treating patients' symptoms using principles of Measurement-Based Care. IMPLEMENTATION Implementation included a multi-faceted training program designed to build confidence and competence in participating clinics' medical providers and staff as well as ongoing performance improvement delivered by the VitalSign6 team. EVALUATION Primary care providers (N = 11) were interviewed, using a semi-structured interview guide, with a focus on barriers and challenges to full integration, perceptions of the most/least valuable aspects of the program, and the program's impact on knowledge, attitudes and behaviors about depression screening and treatment. LESSONS LEARNED More efficient technology is needed to reduce time wasted, as is training to reduce stigma and correct misconceptions about antidepressant medications. Provider buy-in is essential. CONCLUSIONS Despite barriers, VitalSign6 increased knowledge, changed attitudes and enhanced providers' depression screening and treatment skills over time.
Fatigue driving detection with modified ada-boost and fuzzy algorithm

Facial features is the most important and obvious characteristics for the fatigue driving detection. This paper uses the modified Ada-Boost algorithm to detect face and to locate eyes and mouth precisely. The adaptive threshold is used to extract the characteristics of the eyes and mouth status. At last, fuzzy algorithm is used to judge the fatigue status which combined with PERCLOS rules. Experiments show that the proposed method has stronger robustness, faster speed, more accurate precision and meet the real-time demand.
(±) Cochlearoids N–P: three pairs of phenolic meroterpenoids from the fungus Ganoderma cochlear and their bioactivities

Abstract Three pairs of meroterpenoids (±) cochlearoids N–P (1–3) were isolated from the fruiting bodies of Ganoderma cochlear. Their structures including absolute configurations were assigned by spectroscopic techniques. All the isolated compounds were tested for their inhibitory activities toward BRD4, human cancer cells, and micro-organisms. The results show that the enantiomers of (±)-1 are BRD4 inhibitors, (−)-1 and (+)-3 are cytotoxic against human cancer cells (K562) with IC50 values of 7.68 and 6.68 μM, respectively. Besides compounds (±)-2 and (±)-3 exhibit potent inhibitory activity against Staphylococcus aureus with IC50 values in the range of 5.43–17.99 μM.
A novel dual-cytokine–antibody fusion protein for the treatment of CD38-positive malignancies

A novel dual-cytokine-antibody fusion protein, consisting of an antibody directed against CD38 [a tumor-associated antigen mainly expressed on the surface of multiple myeloma (MM) cells], simultaneously fused to both tumor necrosis factor ligand superfamily member 10 (TRAIL) and interleukin-2 (IL2), was designed, expressed and purified to homogeneity. The novel fusion protein, termed IL2-αCD38-αCD38-scTRAIL, was able to selectively recognize its cognate antigen expressed on the surface of MM and lymphoma cell lines, as evidenced by flow cytometry analysis. Moreover, the targeted version of TRAIL was able to induce cancer cell death in vitro, both with MM cell lines and with fresh isolates from the bone marrow of MM patients. The experiments provide a rationale for possible future applications of IL2-αCD38-αCD38-scTRAIL for the treatment of patients with MM or other CD38-positive malignancies.
Accounting Information Systems Research Opportunities Using Personality Type Theory and the Myers-Briggs Type Indicator

The cognitive science paradigm, with its computational and information processing models of the human mind, dominates much of current accounting information systems (AIS) research. While these models aid our understanding of cognition, it is unclear how much of the mind they explain. Personality type theory (PTT) is one supplement to cognitive science. PTT is especially useful for AIS researchers because an extensively tested and validated psychometric instrument based on PTT, the Myers‐Briggs Type Indicator (MBTI), is available for use in practice and research. We provide an overview of PTT and the MBTI and discuss how AIS researchers can use PTT to complement and extend current research initiatives. We highlight opportunities for PTT‐based AIS research by posing research questions, the investigation of which contributes to the AIS literature.
Organophosphate and Organochlorine Resistance in Larval Stage of Aedes albopictus (Diptera: Culicidae) in Sabah, Malaysia

Abstract The present study aims to investigate the susceptibility status of Aedes albopictus (Skuse) collected from residential areas in Sabah, Malaysia towards eight WHO-recommended dosages of larvicides representing the classes of organophosphates and organochlorines. Field and reference strains of Ae. albopictus larvae were bioassayed in accordance to WHO standard methods using diagnostic dosages of bromophos, malathion, fenthion, fenitrothion, temephos, chlorpyrifos, dichlorodiphenyltrichloroethane (DDT), and dieldrin.The results revealed that Ae. albopictus was resistant (mortality < 90%) towards malathion, temephos, and DDT. In addition, most of the Ae. albopictus strains exhibited a wide range of susceptibilities against bromophos, with mortality ranged from 49.33 to 93.33%. On the contrary, only dieldrin was able to induce 100% mortality against all strains of Ae. albopictus. Tolerance to fenitrothion, fenthion, and chlorpyrifos, with mortality ranging from 81.33 to 97.33%, was also observed in this study.