bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Keselamatan dan Kesehatan Kerja Menggunakan Metode Hazard Identification And Risk Assessment Pada Proyek Konstruksi
Authors: Sari Yusra Aulia , Baskara I Wayan Yoga , Riana I Nengah , Ariana Komang Agus 
Published: March 2023

The construction service sector is one of the many business fields that are classified as very prone to accidents. This research takes a case study, namely the Bali Kura-Kura Creative Campus Development Project which requires a lot of human resources and is of course prone to construction accidents due to negligence or human error. The purpose of this study is to determine the level of accident risk that occurs and provide K3 recommendations after knowing the level of accident risk. In this study the questionnaire was used as a data collection tool. Questionnaires were compiled from predetermined research variables. After knowing the variables and data, the next step is to apply the Hazard Identification and Risk Assessment (HIRA) method
The conclusion that can be drawn from this research is the calculation using the HIRA method, which is that there are activities with a low risk level of 3 (15%) sources in the excavation area. Then there are 5 sources (25%) that are included in the medium risk level and 10 sources (50%) of the risk that are included in the high risk category found in all activity areas. Meanwhile, in the extreme risk category, there are 2 sources (10%) found in the excavation area and based on the analysis, it can be seen that the recommendations for improvement proposals that can be made include tightening supervision on each worker activity, enforcing SOPs for each activity, providing safety signs on certain areas that may pose a potential hazard, provide personal protective equipment (PPE).
Application of Deep Reinforcement Learning to Major Solar Flare Forecasting
Authors: Yi Kangwoo , Moon Yong-Jae , Jeong Hyun-Jin 
Published: March 2023

Abstract
In this study, we present the application of deep reinforcement learning to the forecasting of major solar flares. For this, we consider full-disk magnetograms at 00:00 UT from the Solar and Heliospheric Observatory/Michelson Doppler Imager (1996–2010) and the Solar Dynamics Observatory/Helioseismic and Magnetic Imager (2011–2019), as well as Geostationary Operational Environmental Satellite X-ray flare data. We apply Deep Q-Network (DQN) and Double DQN, which are popular deep reinforcement learning methods, to predict “Yes or No” for daily M- and X-class flare occurrence. The reward functions, consisting of four rewards for true positive, false positive, false negative, and true negative, are used for our models. The major results of this study are as follows. First, our deep-learning models successfully predict major solar flares with good skill scores, such as HSS, F1, TSS, and ApSS. Second, the performance of our models depends on the reward function, learning method, and target agent update time. Third, the performance of our deep-learning models is noticeably better than that of a convolutional neural network (CNN) model with the same structure: 0.38 (CNN) to 0.44 (ours) for HSS, 0.47 to 0.52 for F1, 0.53 to 0.59 for TSS, and 0.09 to 0.12 for ApSS.
An annotated checklist of grasshoppers (Orthoptera, Acridoidea) from Mongolia
Authors: Gankhuyag Enkhtsetseg , Dorjsuren Altanchimeg , Choi Eun Hwa , Hwang Ui Wook 
Published: March 2023

Grasshoppers (Acridoidea, Orthoptera) are the dominant herbivores in grassland ecosystems worldwide. They can increase rangeland productivity by stimulating plant growth and accelerating nutrient cycling. This article presents a comprehensive checklist of grasshoppers in Mongolia. Until then, the available information was very scattered, based on old studies of Mongolian grasshoppers, recorded in a few international catalogues and databases, individual records and research work on agroecosystem communities. However, the available information on the composition of the Orthopteran fauna in Mongolia was sometimes unclear or non-existent and these dubious data were excluded from the present study. In addition, the grasshopper distribution analysis used the standardised personal collection of D. Altanchimeg. We also present a list of grasshoppers, as well as their distribution and abundance, in countries adjacent to Mongolia, such as Russia, China and South Korea. The surveys covered six types of natural zones: high mountain, taiga, forest-steppe, steppe, desert steppe and desert; desert steppe and steppe zones are the most widely distributed. We hope to have contributed significantly to the study of the distribution of grasshopper species in all these natural zones.In this study, a total of three families of Acridoidea belonging to eight subfamilies, 17 tribes, 52 genera and 128 species are reported for the various natural zones. The recorded species belong to eight subfamilies: Gomphocerinae are the most numerous with 56 species recorded, followed by Oedipodinae (51 species), Thrinchinae (nine species), Melanoplinae (six species), Calliptaminae (three species), Dericorythinae, Acridinae, Egnatiinae (one species each).
Histological analysis of TGFβ1 and VEGFR expression in cervical carcinoma treated with Rhodomyrtus tomentosa
Authors: Situmorang Putri Cahaya , Simanullang Rostime Hermayerni , Abdi Syahputra Rony , Hutahaean Masta Melati , Sembiring Hizkianta , Nisfa Lailatun , Sari Endang Ratna 
Published: March 2023

Cervical carcinoma is one of the most common malignant carcinomas around the world, including Indonesia. Rhodomyrtus tomentosa is an herbal medicine that is often used in Asia as a therapeutic agent to stop cancer metastases. The process of neoangiogenesis in cervical cancer depends on VEGFR activity. Increased TGFβ1 production is also linked to cervical cancer, suggesting that gene inactivation contributes to the emergence of cervical carcinoma.
Group C- was the control group, Group C+ was the cancer model group, CER100 was the group of rats with cancer + 100 mg/kg body weight (BW) of R. tomentosa, CER200 was the group of rats with cancer + 200 mg/kg BW of R. tomentosa, and CER400 was the group of rats with cancer + 400 mg/kg BWR. tomentosa. Rats were dissected after administration of R. tomentosa for 30 days. Immunohistochemical staining of the cervical tissue was performed with TGFβ1 and VEGFR antibodies. VEGFR expression was significantly different from TGFβ1 expression (p &lt; 0.01). The highest expression was observed at the lowest dose of R. tomentosa (100 mg/kg BW), and the lowest expression was observed at 200 and 400 mg/kg BW. The administration of R. tomentosa can repair tissue damage and decrease the expression of TGFβ1 and VEGFR via histopathological parameters, indicating the importance of the activity of these proteins in the development of neoangiogenesis in cervical cancer.
An Evaluation of Burnout Among US Rheumatology Fellows: A National Survey
Authors: McGoldrick Jenna , Molina-Ochoa Diego , Schwab Pascale , Edwards Samuel T. , Barton Jennifer L. 
Published: March 2023

ObjectiveTo evaluate levels of burnout and correlates of burnout among US rheumatology fellows.MethodsUS rheumatology fellows were invited to complete an electronic survey in 2019. Burnout was assessed using the Maslach Burnout Inventory. Measures of depression, fatigue, quality of life, and training year were also collected. Open-ended questions about perceived factors to promote resiliency and factors leading to increased burnout were included. Bivariate and multivariate regression analyses were used to examine correlates of burnout. Open-ended responses were analyzed using thematic analysis.ResultsThe response rate was 18% (105/582 pediatric and adult rheumatology fellows). Over one-third (38.5%) of postgraduate year (PGY) 4 and 16.7% of PGY5/6 fellows reported at least 1 symptom of burnout. Of PGY4 fellows, 12.8% met criteria for depression compared with 2.4% of PGY5/6 fellows. PGY4 fellows reported worse fatigue and poorer quality of life compared with PGY5/6. In multivariable models controlling for training year and gender, older age (> 31 years) was associated with lower odds of burnout. Thematic analysis of open-ended responses identified factors that help reduce burnout: exercise, family/friends, sleep, support at work, and hobbies. Factors contributing to burnout: pager, documentation, long hours, demands of patient care, and presentations and expectations.ConclusionThis national survey of US rheumatology fellows reveals that early trainee level and younger age are associated with worse levels of fatigue, quality of life, and burnout. Although awareness of and strategies to reduce burnout are needed for all fellows, targeted interventions for younger fellows and those in their first year of training may be of highest yield.
Biological Sex Inequality in Rheumatology Wait Times During the COVID-19 Pandemic
Authors: Katz Steven J. , Ye Carrie 
Published: March 2023

ObjectiveTo examine the effect of biological sex on wait times to first rheumatology appointment in a central triage system before and during the coronavirus disease 2019 (COVID-19) pandemic.MethodsDeidentified data of all referred patients between November 2019 and June 2022 were extracted from the electronic medical record. Variables, including time from referral to first appointment, biological sex, referral period, urgency status, age, and geographic location were collected and analyzed.ResultsTwelve thousand eight hundred seventeen referrals were identified. Wait times increased by 24.23 days in the peri-COVID period (P< 0.001). In the pre-COVID period, there was no significant difference in wait times by biological sex or age. Triage urgency was a predictor of wait time, with semiurgent referrals seen 8.94 days (95% CI −15.90 to −1.99) sooner than routine referrals and urgent referrals seen 25.42 days (95% CI −50.36 to −0.47) sooner than routine referrals. In the peri-COVID period, there was a significant difference in wait time by biological sex with women waiting on average 10.03 days (95% CI 6.98-13.09) longer than men (P< 0.001). Older patients had shorter wait times than younger patients, with a difference of −4.64 days for every 10-year increase in age (95% CI −5.49 to −3.78). Triage urgency continued to be a predictor of wait time.ConclusionWomen and younger patients appear to have been affected by wait time increases during the COVID-19 pandemic. This finding should be further investigated to determine its pervasiveness across other specialities and to better understand the underlying cause of this finding.
EVALUATING THE CLIMATIC POTENTIAL OF PASSIVE STRATEGIES FOR RESIDENCES IN FOUR CITIES UNDER THE WARM-HUMID CLIMATE OF SOUTH INDIA
Authors: Visakha Ar. Vishnubhotla Lakshmi , Srinivas Dr Tadepalli 
Published: March 2023

ABSTRACT
Design guidelines prescribed by climate analysis tools are broad and similar for various cities under the same climate zone overlooking the impact of altitude, latitude, and surrounding geographical features. Boundary conditions determined by International Standards underestimate the cooling potential of passive strategies in the free-running mode in warm-humid climates. Thus, a climate file-based study is conducted to determine city-specific requirements for the residential building program. Indices like Climatic Potential for Natural Ventilation and Climatic Cooling Potential are used in conjunction with the Indian Model for Adaptive Comfort to define boundary conditions for Natural Ventilation, Nocturnal Ventilation Potential, and Thermal Mass Potential in four inland and coastal cities in the warm-humid climate of South India. With the least Natural Ventilation Potential, mixed-mode operation of buildings is feasible in Nagercoil. Elevated airspeeds benefit Tiruchirappalli and Chennai during the day. With a Nocturnal Ventilation Potential of 10–20%, passive dehumidification is favorable in all cities. Results show that the climatic potential for each strategy varies with location and plays an important role in developing city specific design inputs for residences.
HABITAT SAFETY EVALUATION OF SUSTAINABLE HOUSING FROM THE PERSPECTIVE OF HOUSEHOLDS
Authors: She Yujun , Wu Shurui , Wang Yu , Zhu Yahui , Jiao Liudan 
Published: March 2023

ABSTRACTIn recent years, the housing market has developed rapidly during the process of urbanization. Since people require adequate housing safety, safety challenges associated with housing have received increasing attention. Although development of sustainable housing was rapid in the last few decades, insufficient studies considered households’ needs and examined the health and psychological safety issues in sustainable housing. This study aims to establish an indicator system and develop a model to evaluate habitat safety from three dimensions: physical safety, health safety, and psychological safety. This study develops an evaluation system containing 46 indicators to assess the safety performance of sustainable housing from households’ perspectives. In addition, criteria importance through intercriteria correlation (CRITIC) method is combined with the Cloud Model to provide systematic and visual evaluation results. A government-funded sustainable housing project in Chongqing, China, is selected as a case study and questionnaire surveys were delivered to collect the raw data of subjective ratings on the 46 safety indicators. The following findings are observed: (1) there is a prominent demand for improvement in psychological safety of sustainable housing, followed by health safety; (2) different age groups have different safety needs; and (3) regulations and standards are very important to improve the habitat safety of sustainable housing. The study considers safety issues from households’ perspectives and introduces a different idea of human safety in sustainable housing. It provides an effective method to evaluate housing safety and could be a useful reference for further development of sustainable housing.
AN OVERVIEW OF TRADITIONAL HEATING, VENTILATION, AND ILLUMINATION TECHNOLOGIES IN HISTORIC BATHS AND THEIR CONTEMPORARY INSPIRATIONS
Authors: Gülşen Dişli , İsmail Atan 
Published: March 2023

ABSTRACTPassive heating, lighting, and ventilation techniques in historic buildings and their sustainability in conjunction with new designs are essential to maintaining a greener, ecological environment. This article describes a framework for identifying and disclosing the passive survival strategies and resulting solutions applied to historic baths in Anatolia. The aim is to first increase knowledge and awareness of ancient systems and to discuss and examine their contemporary inspirations and considerations of existing and new construction technologies. A total of four baths from the Roman, Byzantine, Principalities and Ottoman periods in Anatolia were selected. Their original heating, lighting, and ventilation systems were determined largely through on-site observations, literature review, and archival sources. The results indicate that in today’s modern residential, industrial or commercial buildings, reflections of these ancient technologies and traditional concepts can be observed as the main source of inspiration. They can be seen either in the form of light pipes, underfloor heating systems, or a double-skin façade. The old technologies and solutions of historic baths are mostly sustainable and ecological. Looking back at these historic technologies can inspire further ecological design developments and symbiotic implementation possibilities in new building designs.
Braiding groups of automorphisms and almost-automorphisms of trees
Authors: Skipper Rachel , Zaremsky Matthew C. B. 
Published: March 2023

AbstractWe introduce “braided” versions of self-similar groups and Röver–Nekrashevych groups, and study their finiteness properties. This generalizes work of Aroca and Cumplido, and the first author and Wu, who considered the case when the self-similar groups are what we call “self-identical.” In particular, we use a braided version of the Grigorchuk group to construct a new group called the “braided Röver group,” which we prove is of type
$\operatorname {\mathrm {F}}_\infty $
. Our techniques involve using so-called d-ary cloning systems to construct the groups, and analyzing certain complexes of embedded disks in a surface to understand their finiteness properties.
Evaluation of the triglyceride glucose index as a marker of insulin resistance in adults with isolated impaired glucose metabolism
Authors: KIRTIL Gül , ALPDEMİR Medine , ALPDEMİR Mehmet Fatih , ŞENEŞ Mehmet 
Published: March 2023

Background: The triglyceride to glucose index (TyG) has been proposed as a reliable and simple alternative for the evaluation of insulin resistance (IR). By analyzing long-term laboratory data, we aim to evaluate the relationship between the TyG index and HOMA-IR in the Turkish adult population with isolated IFG, which is a major risk factor for T2DM. Furthermore, it is also to determine the cut off value of the TyG index in our population to estimate the IR.
Materials-methods: In this study, the data collected from medical records of the total of 440 adults with IFG and control subjects, were evaluated retrospectively. Fasting glucose, lipid panel and insulin levels were analyzed with commercially reagents. (Roche Cobas C701, Roche Diagnostic, Germany). High-Performance Liquid Chromatography (HPLC) method was used for HbA1C (Lifotronic H9, Lifotrophic Technology, Shenzhen, China). TyG, HOMA-IR, and TG/HDL-C were calculated. IR was defined as HOMA-IR >2.5.
Results: A total of 440 patients, 230 of whom were controls and 210 of whom had IFG, were included in our study. The average age of the subjects was 42.5 ±12.0 years for the control and 44.7 ± 10.7 years for IFG. Glucose, total cholesterol, TG, LDL-C, insulin, HbA1C, TG/HDL-C, HOMA-IR, and TyG index were found to be significantly higher in the IFG patient group (p
Predicting the intensity of blocking events using machine and deep learning
Authors: Sahin Emir , Caulkins Juliana , Joykutty Leya 
Published: March 2023

Blocking events are high pressure systems that occur in the middle to upper latitudes, diverting the flow of the jet stream and preventing the regular progression of the weather. Blocking events can persist for days to weeks, potentially causing extreme weather events such as droughts or heatwaves. Due to the harmful effects associated with the weather conditions that blocking events can cause, there have been ongoing efforts to forecast them. One such effort includes the Global Ensemble Forecast System (GEFS), which has been reported to underestimate the intensity of stronger blocking events by approximately ten percent. In the current study, one deep learning and three machine learning models were developed to predict the intensity of newly formed blocking events at onset. It was hypothesized that the models would have comparable percent error to the GEFS while using less time and computational resources, that there would be a strong correlation between predicted and actual blocking intensity, and that the deep learning model would have lower error than the machine learning models. The results showed that the models did indeed have comparable error to the GEFS and that there was a statistically significant correlation between predicted and actual blocking intensity for all four models, thus supporting the first two parts of the hypothesis. The third part was not supported since there was no statistically significant difference in error between any of the models, however the deep learning model was noted for not overfitting unlike the machine learning models.
Gender Roles and Careers: Perceptions of Youth
Authors: Lalchandani Naina , Pardasani Manoj 
Published: March 2023

The world is rapidly changing with respect to role expectations and gender norms. More women, than ever before, are seeking higher education and careers in fields traditionally dominated by men. Among 25- to 34-year-olds, women are more likely to have a tertiary degree than men in all 38 countries that are members of the Organization for Economic Cooperation and Development (Wolfers, 2021). This study explored the perceptions of youth (ages 14-19) with respect to gendered roles and career aspirations. Approximately 100 students from an international high school, reached through social media and snowball sampling, responded to an online survey. Responses demonstrated a move on egalitarian approach to expectations of men and women regarding family and work responsibilities.
Telomeres and Telomerase in Cancer: Overview and Therapeutic Potential
Authors: Kim Taei , Tarangelo Amy 
Published: March 2023

Telomeres are specialized structures of eukaryotic chromosomes that protect the tips of the chromosomes. Telomeres prevent chromosomes from losing base pair sequences at their ends, and also stop chromosomes from fusing together. Telomerase is an enzyme that rebuilds telomeres and maintains genomic stability by extending telomeres after each cell division. Telomerase activity prevents cellular aging, also known as senescence. Immortal cell lines can be created by inducing expression of telomerase in cells that normally lack telomerase. Cells need to maintain genomic integrity to prevent mutations that can lead to cancer. Such activation of telomerase mentioned above can often lead to cancer development by preserving genomic stability in rapidly dividing cells. If a cell keeps dividing and overcomes the limitations of telomeres, a cancerous tumor can form. In healthy cells, telomeres achieve the healthy balance between limiting cellular lifespan and keeping cancer growth at bay.
It has been established that telomerase activity is a biomarker of cancer and tumorigenesis. This makes telomerase an attractive target for cancer therapy, and studies indicate that methods of treatment such as oligonucleotides, immunotherapies, and stabilization of G-quadruplexes all hold immense possibilities in the field of oncology. Such discoveries provide insight on the potential of telomeres to play a significant role in the prevention of cancer before tumorigenesis, or the treatment of cancer after diagnosis. Therefore, telomerase is a viable cancer biomarker and a therapeutic target, and an area of interest in the field of cancer study.
Solar Bicycle Project
Authors: Kumar Rishi 
Published: March 2023

This study sought to investigate the making of a sustainable solar-powered electric bicycle. The idea of sustainable development has gained significant traction over the last few decades. As reserves of coal, natural gas, and petroleum deplete, it is becoming ever more imminent to switch to renewable sources of energy. The objective of this study was to determine the reliability and cost efficiency of a solar-powered electric bicycle in daily life. This descriptive study involves a design making phase, a phase where spare parts are procured, a product development phase, and a testing phase.
The prototype bicycle now has a top speed of 35-40 km/h and can travel up to 40 kilometres in a single charge. The bicycle can be fully charged in 3 hours with the standard lithium ion battery and in about 5.5 hours via the attached solar panel.
This bicycle can be built at an approximate cost of USD 467 and is quite apt for warm environments such as the Middle East and Mid-Asia, where sunlight is abundantly available; in the United Arab Emirates, considering current electricity tariffs, the driving cost of the bicycle will be around USD 0.035 per every 40 kilometres.