bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent advances in treatment of breast cancers
Authors: Nerkar A.G. 
Published: May 2022

Growth factors receptors and hormones play an important role several cell minor cell types.With advent of advancement in Breast cancer (BC) treatment and therapies ther of there has been major advancement in this area after this discovery. The combined sciences of cellular biology and therapeutic fields have made the breast cancer a seized cure area for discoveries of new therapies and its design including the heterogeneity. This article reviews the numerous prospective innovative therapies for targeting major cell subtypes of BC cells, as well as the present therapeutic regimens. In the personalised BC drug, speedy scientific advancement of poly inhibitors (ADP-ribose) polymerase, cyclin-dependent kinases four and six, phosphatidylinositol 3-kinase / protein kinase b / mammalian target rapamycin pathway, histone deacetylation, multi-concentrated in tyrosine kinases, as well as antibodies. The Triple negative breast cancer (TNBC) has been the most challenging area for design of therapies and for drug discovery. For TNBC, as such there is no approved treatment and it is most dangerous type of BC. The article also discusses the TNBC heterogeneity and TNBC molecular subtyping. It could also help find medications to treat this terrible disease. The cell proliferation and propagation inhibitors for treatment-resistant strains also puts the invention of targets for small molecules of BC in concern.
THE RISK PERCEPTION OF TUBERCULOSIS INFECTED DIABETES MELLITUS PATIENTS
Authors: Novita Bernadette Dian , Wiyono Steven , Yuliastuti Maria , Widyarini Lydia Ari , Ongkodjojo Evelyn 
Published: May 2022

Introduction: The number of people with Diabetes Mellitus (DM) increases from year to year. Indonesia is in the sixth highest rank globally for the number of people with DM. Moreover, the level of risk of DM suffering TB is higher. The consequences can be prolonged if not treated immediately. However, the dangers of DM should be the concern of everyone. A non-healthy lifestyle such as high consumption of fast food and a sedentary lifestyle has a negative impact. DM will be worsened and can even lead to various diseases, including blindness, heart disease, kidney failure, stroke, or even amputation. Methods: This research was conducted in East Java and assessed the correlation between behavior, perception, perceived behavior control, and social support so that people can be motivated to seek information about the risk of TB in DM patients. This comprehensive community-based research combines quantitative and qualitative using a cross-sectional method on people who had been diagnosed with diabetes mellitus for at least one year. Information gathered concerning things to know for prevention and the desire to do the prevention. Result: The result of this research is the establishment of a brief video animation explaining the risk of TB in DM patients. Based upon data processing, DM patients diagnosed under five years are more active in seeking information about diabetes mellitus and its complications, including tuberculosis, as seen in table 3. Conclusion: The information is at their most plentiful access from social media (Facebook, Instagram), followed by radio, newspapers, television, and WhatsApp/ Line. Even more surprising, from the result of this research, it was found that the role of doctors or nurses was in the bottom two in providing information related to the risk of DM and TB. Similarly, health facilities (public health services, hospitals, clinics) are the third bottom after doctors and nurses. Of course, this is very unfortunate because the transfer of information from the primary source, in this case, health workers, did not occur properly. Keywords: Diabetes Mellitus; Tuberculosis; Perception; Risk of TB in DM Patients
HAZARD IDENTIFICATION OF WELDING IN CONFINED SPACE OF THE CEMENT PRODUCTION COMPANY
Authors: Mufaidah Vievi Ruldi , Dwiyanti Endang 
Published: May 2022

Introduction: Maintenance of a electrostatic precipitator cooler machine involving welding activities in confined spaces, so the company of cement production need to understand the existing hazard by conducting hazard identification. Welding are related with physical, chemical, mechanical, and electrical hazards that can cause accidents and occupational illnesses. When the welding is carried out in confined spaces, it can increasing the hazards include chemical hazards in the air, configuration of the building structure, poor airflow, or any combination of existing hazards. Methods: This research aimed to conduct hazard identification on welding activities in confined spaces. The research design used a descriptive observational with cross sectional approach. The research population was the workers who repair the electrostatic precipitator cooler machines. Sample of this research were selected using the Purposive sampling method, 2 welders in the rapping bar and 1 safetyman. Primary data was collected by conducting observation and interviews using checklist sheet, secondary data was obtained by collecting company profile and daily safety reports. Result: The results of the analysis showed that the identified hazards of welding activities in confined space are 5 of mechanical hazards, 4 of atmospheric hazards, 5 of ergonomics hazards, 5 of falling hazards, 6 of physical hazards, 5 chemical hazards, and 4 electrical hazards. Conclusion: The conclusion of this research was the dominant potential hazard come from physical hazards consisting of inadequate light, welding sparks, optical radiation, noise, high pressure gas and hoses. Some hazards inflict accidents and illness due to work on welding in confined space are welding sparks, fume, oxygen and asitelyn gases, as well as toxic and carcinogenic substance i.e. cement and coal dust. Keywords: confined space, hazard identification, welding
GENERAL POPULATION DISCRIMINATORY ATTITUDE TOWARDS ADULTS AND CHILDREN WITH HIV/AIDS IN INDONESIA
Authors: Prasiska Danik Iga , Yoon Sangchul , Lee Myunken , Kimm Heejin 
Published: May 2022

Introduction: HIV continues to be a major global public health issue. While the treatment of people with HIV is still being a challenge, social issues towards people with HIV/AIDS gradually growing. HIV stigma is prevalent worldwide being the barrier to HIV prevention and treatment including in Indonesia. The purpose of this research is to explore the association of social demographic and level knowledge about HIV/AIDS with the discriminatory attitudes towards adults and children with HIV/AIDS in the general population in Indonesia. Methods: The type of research is non-reactive research based on secondary data. Chi-square analysis and logistic regression statistics were performed to test the association. Result: The result reported that socio-demographic statistically had a significant association with the discriminatory attitude. Males (OR 0.993 [95% CI 0.990 – 0.995]) tend to have an inclusive attitude towards adults with HIV/AIDS but children with HIV/AIDS (OR 4.235 [95% 4.003 – 4.480]). People with no education (OR 1.625 [95% CI 1.143 – 2.310]), people with primary education (OR 1.465 [95% CI 1.363 - 1.575]), poorest people (OR 1.471 [95% CI 1.361 – 1.590]), and people with low incomplete knowledge about HIV prevention and transmission (OR 4.083 [95% CI 3.752 – 4.444]) significantly had a non-inclusive attitude towards adults with HIV/AIDS. Conclusion: The result of this research suggested that increasing general public knowledge about HIV prevention and transmission is one of the significant methods in reducing discriminatory attitudes towards adults and children with HIV/AIDS. Keywords: attitude, discriminatory, general, population, stigma
PREVALENCE AND RISK FACTORS OF THE HYPERTENSION OF TRUNYAN VILLAGE, BALI IN 2019
Authors: Yani Made Violin Weda , Dewi Ni Nyoman Gita Kharisma , Antara I Made Putra Swi , Widyakania Putu Nadira , Jelita Niluh Dika , Dewi Cokorde Istri Ayu Laksmi , Utari Ni Luh Ade , Supadmanaba I Gede Putu 
Published: May 2022

Introduction: Hypertension is the cause of 7.5 million deaths, equivalent to 12.8% of total deaths based on WHO data. Trunyan Village currently has limited access to health services, low public awareness of maintaining personal health and environmental health, and no descriptive or analytical data discussing hypertension prevalence and risk factors. Methods: Therefore, this study aims to determine hypertension prevalence and risk factors in Trunyan Village, Bangli. This study used a cross-sectional design, with the subject selection method using simple random sampling and blood pressure status as a dependent variable. The interview was conducted on 55 people, which used a questionnaire. Result: Data analyzed used the chi-square test, and the relationship between variables was considered significant with a p-value <0.05. The prevalence of hypertension in Trunyan Village is 52.7%, with female dominance (65.5%) and age ≤50 years (52.7%). There is a significant relationship between hypertension and age (p<0.01; PR=3.50), the habit of consuming sweet foods (p=0.02; PR=0.54), and family history of hypertension (p<0.01; PR=1.91). Conclusion: It can be concluded that hypertension has a significant relationship with risk factors for age, habits of consuming sweets foods, and a family history of hypertension. Further research needs to be carried out with a larger sample size to obtain more representative results. Keywords: Bali, hypertension, prevalence, risk factors, Trunyan village
A Machine Learning Approach to Benchmarking Operators Performance: A New Perspective Utilizing Factor Contribution Analysis
Authors: Tabatabaie S. Hamed , Burrough Toby , Rodriguez Cadena Camilo 
Published: May 2022

Summary
This study explains how production performance of the multifractured horizontal wells can be divided into two key contributing components: geographical location and completion strategy. Furthermore, we show how to quantify the contribution of these two independent components to production and to understand the variations in key performance drivers across the evaluated field. Being able to differentiate these contributions allows us to compare well performance in a consistent manner and identify potential upside opportunities, such as refracturing candidates, infill well development, and operator benchmarking. Further analysis uses multiple benchmarks to evaluate operator performance and assess how underperforming operators can optimize their completion strategies.
We use a novel machine learning approach—a combination of XGBoost and Factor Contribution Analysis (FCA)—that not only allows for fieldwide well evaluations, but also provides a quantifiable contribution of each feature to production. Our approach generates a production prediction model and accounts for the completion parameters and geological information for each well. The final model can be used to either predict future performance of a field/well or to understand reservoir and completion characteristics. This study focuses on the latter and provides an approach to understand the main influencing factors behind well performance as a result of location and completion strategies.
Our study is conducted on three major unconventional plays (Haynesville, Eagle Ford, and Bakken), where we demonstrate how different completion features (e.g. lateral length, proppant volume, and fluid volume) affect production data and what we could expect in terms of production should the well have been completed differently. We show how to combine the effect of individual controlling factors (e.g. location, depth, lateral length, proppant volume, fluid volume, and well spacing) to appropriately characterize the performance of each well in terms of two key components: location and completion. This enables us to quantify what portion of the production is a result of rock quality and how much is due to its completion strategy. This technique also allows us to quantify and relate each of these features, and highlight areas with desirable geological features, as well as good candidates for refracturing jobs. Moreover, we benchmark different operators’ performance as it relates to changing rock quality and completion strategies.
The Effect Of Access To Electronic Resources On Medical and Dental Students Scores In Summative Assessment: quasi experimental study
Authors: Sharbatti Shatha Al , Hamdy Hossam , Kassab Salah , Venkatramana Manda 
Published: May 2022

Abstract
BackgroundAccess to electronic (E) resources has become an indispensable requirement in medical education and practice. Objective: Our objective was to assess the effect of E-resources access on end-course-exam scores of health profession students Methods: A quasi-experimental study which included two cohorts of medical (n=106 & 85) and three cohorts of dental students (n= 66, 64 and 69) who took end-course- exams. Each exam was composed of two- parts (Part I and II), that encompassed equal number of questions and duration. Access to E-resources was allowed in part-II only. Items Difficulty Index (DI), Discrimination Index, (DisI), Point Biserial, (PBS) and cognitive level were determined. Results:The study included 390 students. The proportion of items at various levels of DI, DisI, and PBS and the average values for item DI, DisI in both parts of each exam were comparable. The average scores in part-II were significantly higher than part-I (P<0.001, <0.001 and 0.04) and lower-order cognitive-level items scores were higher in three exams (P<0.0001, 0.0001, 0.0001). Higher- order cognitive level items scores were comparable between part I and II in all courses. The significant factor for change in marks were questions cognitive level and type of the course Conclusions: Access to E-resources does not make a significant difference in scores of higher-order cognitive level items. Question cognitive level and course type were the significant factors for the change in exam scores when accessing E-resources. Time-restricted E-resources accessed tests that examine higher cognitive level item had no significant academic integrity drawback.
Prediction of the therapeutic efficacy of epirubicin combined with ifosfamide in patients with lung metastases from soft tissue sarcoma based on chest enhanced CT radiomics features
Authors: Miao Lei , Ma Shu-Tao , Jiang Xu , Zhang Huan-Huan , Wang Yan-Mei , Li Meng 
Published: May 2022

Abstract
Objective
To investigate the value of enhanced chest CT radiomics features in predicting the efficacy of epirubicin combined with ifosfamide in patients with pulmonary metastases from soft tissue sarcoma
Methods
In a retrospective analysis of 51 patients with pulmonary metastases from soft tissue sarcoma, all received the chemotherapy regimen of epirubicin combined with ifosfamide, and the efficacy was evaluated by the RECIST(1.1). Each patient selected 1 or 2 chemotherapy regimens. Lung metastases were used as target lesions (86 target lesions total), and the patients were divided into a progression group (n = 29) and a nonprogressive group (n = 57). The nonprogressive group included a stable group (n = 34) and a partial response group (n = 23). Information of lung metastases was extracted from enhanced CT images before chemotherapy, and all lesions were delineated by ITK-SNAP software manually or semiautomatically. The decision tree classifier had a better effect in all radiomics models. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive performance of the model for progression vs. non-progression.
Results
In total, 851 enhanced CT radiomics features were extracted for each target lesion and finally reduced to 2 radiomics features, which were used to construct a radiomics model. The areas under the curve (AUCs) of the model for predicting the progression of lesions were 0.917 and 0.856 in the training and test groups.
Conclusion
The model established based on the radiomics features of chest enhanced CT before treatment has certain predictive value for the chemotherapy efficacy of patients with soft tissue sarcoma lung metastases.
Upcycling canola meal as compared to soybean meal by fungal bioconversion for potential monogastric animal nutrition
Authors: He Sihong , Sun Xiao , Wei Wei , Hu Bo 
Published: May 2022

Abstract
Canola meal (CM) produced after oil extraction has potential to be used as nutrient-rich feeding ingredient for monogastric animals if its fiber, anti-nutritional factors can be reduced while essential amino acids can be improved. Fungal bioconversion provided a way of improving feeding value in CM for monogastric animals. This study explored the effects of three fungal strains namely, Rhizopus oryzae ( R. oryzae ), Mucor indicus ( M. indicus ), and Trichoderma reesei ( T. reesei ), via solid state fermentation, on profiles of amino acids, structure carbohydrates, sinapic acid, and in vitro dry matter digestibility (IVDMD) of CM with and without supplement of urea as nitrogen source. Soybean meal (SM) was investigated at the same condition as CM for comparison. Flask trials using each substrate with 70% moisture content were conducted for 192 h at 28°C. T. reesei was determined as the most effective fungal strain due to its higher improvement of total amino acids by 10.7%, and threonine (Thr), methionine (Met), and lysine (Lys) by 19.2%, 20.4%, and 14.4%, respectively, when 1% N urea was supplied. T. reesei also degraded more structural carbohydrates (up to 26.6%) and produced more digestible sugars, compared to other strains. In addition, T. reesei treated SM and CM showed higher IVDMD than non-treated compared with other fungi. This study demonstrated the feasibility of fungal strain in improving feeding value of CM and SM for better monogastric animal diet.
Minimum number and types of allergens for a skin prick test panel in Thai children with allergic respiratory diseases
Authors: Kulalert Prapasri , Poachanukoon Orapan , Nanthapisal Sira , Sritipsu Paskorn , Thanborisutkul Karnsinee , Termworasin Pasistha , Kornsawai Rungrawee , Punyashthira Patcharaporn 
Published: May 2022

Abstract
Background: Patterns of aeroallergen sensitization vary by countries. Testing with the minimum number of allergens is important to identify sensitized patients for a cost-effective approach. We aimed to assess the minimal skin prick test (SPT) panel to identify sensitized children with allergic respiratory diseases. Methods: The SPT results from January 2020 to December 2021 in children aged 2–18 years with symptoms of asthma or allergic rhinitis or both were retrospectively reviewed. All children received 11 allergen extracts (Dermatophagoides pteronyssinus [Der p], Dermatophagoides farinae [Der f], American cockroach, German cockroach, cat, dog, Bermuda grass, careless weed, Timothy, Acacia, and molds). The conditional approach was used to determine the allergen selection for the SPT panel. Results: A total of 688 children were enrolled (mean age = 8.14 ± 3.91 years). The sensitization results were Der p (57.85%), Der f (55.09%), German cockroach (18.02%), American cockroach (17.01%), cat (11.77%), Acacia (3.49%), Bermuda grass (3.34%), molds (3.05%), Timothy (2.33%), dog (1.89%), and careless weed (1.60%). Der p, Der f, and German cockroach were required to detect at least 95% of sensitized children. If the SPT panel added Acacia, cat, American cockroach, Bermuda grass, and careless weed, sensitization was detected in 99–100% of cases. Conclusions: Indoor allergens (Der p, cockroach, and cat) were common causes of sensitization in Thai children with allergic respiratory diseases. Eight allergens were sufficient for sensitization identification in Thai children with asthma or allergic rhinitis or both in clinical practice.
Risk Stratification of Patients with Acute Respiratory Distress Syndrome Complicated with Sepsis Using Lactate Trajectories
Authors: Zhang Haoyue , Li Ziping , Zheng Weiqiang , Zhang Linlin , Yang Tianqi , Xie Keliang , Yu Yonghao 
Published: May 2022

Abstract
Background: No consensus has been reached on an optimal blood lactate evaluation system although several approaches have been reported in the literature in recent years. A group-based trajectory modeling (GBTM) method could better stratify patients with acute respiratory distress syndrome (ARDS) complicated with sepsis in the intensive care unit (ICU).Methods: 762 patients from the comprehensive ICU of Tianjin Medical University General Hospital with ARDS complicated with sepsis were eligible for analysis. Serial serum lactate levels were measured within 48 h of admission. In addition to the GBTM lactate groups, the initial lactate, peak lactate level, the area under the curve of serial lactate (lactate AUC), and lactate clearance were also considered for comparison. The short- and long-term outcomes were the 30- and 90-day mortality rates, respectively. Results: Three lactate groups were identified based on GBTM, with group 3 exhibiting the worse short- (hazard ratio (HR): for 30-days mortality: 2.26, 95% CI: 1.75 to 2.92, P <0.001) and long term (HR for 90-day mortality: 3.06, 95% CI: 1.78 to 5.27, P <0.001) outcomes followed by group 2 [HR for 30-day mortality: 1.79, 95% confidence interval (CI): 1.30 to 2.47, P <0.001] and HR for 90-days mortality: 1.73, 95% CI: 1.30 to 2.31, P <0.001). GBTM lactate groups exhibited significantly improved diagnostic performance of initial lactate + SOFA scores/APACHE II scores models. Based on the multivariable fractional polynomial interaction (MFPI) approach, GBTM lactate groups could better differentiate high-risk patients than the initial lactate groups in short- and long-term outcomes.Conclusions: To the best of our knowledge, this is the first report that GBTM-based serial blood lactate evaluations significantly improve the diagnostic capacity of traditional critical care evaluation systems and bring many advantages over previously documented lactate evaluation systems.
Numerical simulation of dynamic analysis of molten pool in the process of direct energy deposition
Authors: Xu Kaikai , Gong yadong , Zhang Qiang 
Published: May 2022

Abstract
Laser direct energy deposition (L-DED) can improve the forming efficiency of parts by controlling laser power, scanning speed, powder flow rate and spot size. It is a good way to complete the processing and repair of complex parts. In this paper, a three-dimensional numerical model is established to study the dynamic cladding process (pool geometry, energy transfer and dynamic solidification) of IN718 alloy during direct energy deposition. The fluid of volume (VOF) method is used to track the free surface of the melt pool, and the powder source model is established by discrete method. The results show that the molten pool size (area, width, height, depth) of the model is relatively uniform, and can predict the shape of the molten pool well. The energy transfer in the molten pool is disturbed to some extent by the metal powder flow. The temperature gradient and cooling rate of the cladding layer are relatively large near the mushy area during the solidification process.