bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship between Farmer Characteristics and Gadget Using in Rural Area for Improving Regional Development
Authors: Aulia S S 
Published: August 2020

Abstract
This research aims to see the relationship between the farmers’ characteristics and their gadgets, such as mobile phone or smartphones in support of agricultural activities. This research used qualitative and quantitative research types namely qualitative research with a survey method of observation and semi-closed interviews. The data from the field survey was processed into useful information in seeing the characteristics of farmers and their relationship in utilizing their gadgets. Analysis of this relationship was analysed using quantitative chi-square methods. The significant value of the significance of the variable age, level of education, and saving ability is 0.001, 0.003, and 0.002. Variable age and education level are internal condition of farmers who are strongly associated with the ability of farmers in operating a mobile phone to search for a variety of agricultural information. The use of a mobile phone can affect the effectiveness and efficiency of farmers in terms of time, cost, and energy. However, the use of mobile phone can also the negative impact when the expenditure to buy credit phone is not controllable, so it can be related to the inability of farmers to save in the bank.
Implementing the Shortest Time Route Search Algorithm in Semarang Using the Best First Search Method
Authors: Wibowo N , Widodo C E , Adi K 
Published: August 2020

AbstractThe purpose of this research was to find the shortest route so that the search for the destination is more effective and efficient to avoid traffic jams using the best first search method. the best first search method is a search method by selecting the best value from different data. The aim was to find the shortest time route between regions in Semarang using the Best First Search algorithm according to the distance of each region, road width, and traffic density of motorized vehicles to get better time efficiency. Using the best first search usually tries to estimate the distance at the end of the path with a solution. The shortest time search system in the city of Semarang on traffic density, road width to determine the desired time efficiency. Analysis of the Best First Search algorithm by using the output of the path used as input in the search for the shortest route, between the starting point to the destination point. Conducting trials with the software as a result of recording data according to the field. the impact of the system on searching for route research becomes solution for road users to reach their destination a short time.
Experimental Study Improving The Friction in The Surface of Cold Form Steel Connections Using Adhesive
Authors: Setiyarto Y D 
Published: August 2020

Abstract
The purpose of this study is to test the strength of light steel joints using screws and the addition of adhesives to the surface of the joint. The addition of adhesive is done to increase the frictional force on the surface of the joint. The study was carried out experimentally by giving axial tensile strength to the specimens. The specimen is a mild steel connection made from a lip channel profile that is connected back to back with 2 screws and has 2 variables, namely adhesive and without adhesive. Each variable has 3 samples. The experimental results show that the addition of adhesives to the joint system is proven to increase friction. This shows that the joints that use adhesives have a greater strength of 17.20% than the joints without adhesives. The mechanism of collapse of the joint using adhesive starts from the collapse in the friction plane, then the screw undergoes tilting and subsequently experiences a collapse in the fused plane. From the results of this study it was concluded that the use of adhesives can be used as an alternative to increase the frictional force on the surface of the mild steel joints.
Maintenance Policy for Korin Filling Machines Using Overall Equipment Effectiveness (OEE) and Markov Chain
Authors: Andriani D , Santosa A , Depari D U M 
Published: August 2020

Abstract
The aim of this study is to measure the performance effectiveness, determine component replacement, and maintenance schedule for Korin filling machines that often experience downtime. The downtime can cause the performance of the machine to decline so that the production process does not run optimally, the product operating time decreases from the time of the targeted operation. This study used two methods, Overall Equipment Effectiveness (OEE) is a method used to measure the effectiveness of overall machine performance by measuring Availability, Performance, and Quality Level factors, meanwhile, Markov Chain is a method used to determine preventive maintenance schedules to obtain optimal time and costs for important components. The results of the Overall Effectiveness of Equipment on the Korin Filling machines are decreased. The value of the performance factor is at the lowest value. The results of the Markov Chain method yielded a machine maintenance schedule every five days.
Database Design for Distribution Simulation Game
Authors: Santosa A , Rinaldy A M , Andriani D 
Published: August 2020

Abstract
The purpose of this study is to obtain a database design for a distribution simulation game that will be used as a learning medium in a industrial engineering. Distribution simulation games have been used since the 1960s, since the invention of the Beer Game by Jay Wright Forrester. The method used in this research is the System Development Life Cycle including the steps of enterprise modeling, conceptual data modeling, logical database design, physical database design, and database implementation. The results of this study are in the form of a relational database design consisting of five entities namely GameTitle, Retailer, Wholesaler, Distributor, and Maufacturer. GameTitle is a strong entity that owns the other four entities. The design can be implemented well in a Database Management System such as Microsoft Access, MySQL, or others. This database is used as data storage during the game and then used as a data source to analyze the effectiveness of understanding the concept of learning in industrial techniques such as forecasting, inventory planning, and supply chain management. The main conclusion that can be drawn in this study is that the database design for the distribution simulation game can be implemented using Microsoft Access with the condition that transaction data between echelon is stored in a separate table to avoid conflicts when accessing simultaneously. With this database design, it is expected that everyone can develop a distribution simulation game application for improving the learning process in their respective fields of study.
Spatio-temporal characterization of ultrashort laser beams: a tutorial
Authors: Jolly Spencer W , Gobert Olivier , Quéré Fabien 
Published: August 2020

Abstract
The temporal characterization of ultrafast laser pulses has become a cornerstone capability of ultrafast optics laboratories and is routine both for optimizing laser pulse duration and designing custom fields. Beyond pure temporal characterization, spatio-temporal characterization provides a more complete measurement of the spatially-varying temporal properties of a laser pulse. These so-called spatio-temporal couplings (STCs) are generally nonseparable chromatic aberrations that can be induced by very common optical elements—for example, diffraction gratings and thick lenses or prisms made from dispersive material. In this tutorial we introduce STCs and a detailed understanding of their behavior in order to have a background knowledge, but also to inform the design of characterization devices. We then overview a broad range of spatio-temporal characterization techniques with a view to mention most techniques, but also to provide greater details on a few chosen methods. The goal is to provide a reference and a comparison of various techniques for newcomers to the field. Lastly, we discuss nuances of analysis and visualization of spatio-temporal data, which is an often underappreciated and non-trivial part of ultrafast pulse characterization.
Grinding characteristics during ultrasonic vibration assisted grinding of alumina ceramic in selected dry and MQL conditions
Authors: Das Sreethul , Pandivelan C 
Published: August 2020

Abstract
Ultrasonic vibration assisted grinding (UAG) has proven to lower the forces and improve the ground surface quality while shaping difficult to grind materials such as ceramics. A systematic study of UAG of alumina ceramic using a metal bonded diamond grinding wheel has been performed here. Taguchi’s L18 array based experimentation has been performed to study the effect of UAG parameters. During UAG, the vibration amplitudes of 6 and 12 microns have been used and the frequency has been kept at 20 kHz. From these experiments, optimum parameters for UAG have been identified using Grey relational analysis. Mathematical models generated using regression analysis have been found to correlate the experimental data with good accuracy. A comparison of the grinding forces and roughness of the surfaces generated in dry and minimum quantity lubrication (MQL) conditions in both conventional grinding and optimal condition in UAG has been performed to identify the beneficial effects of providing vibration to the workpiece. The surface quality has been evaluated using 3D roughness data, 3D plots and SEM images of the ground surface. By examining nature of the ground surface and kurtosis (Sku) values of the surface profile, it has been concluded that UAG reduces brittle fracture and facilitates material removal by ductile mode for alumina. The desired condition of least machining forces and highest surface quality has been achieved during the combination of UAG and MQL.
Improved hydration resistance of MgO–2CaO·SiO2–3CaO·SiO2 composite refractory using low-grade minerals
Authors: Zhan Xuewu , Wu Xiaopeng , Xing Yiqiang , Cui Xinghui , Wang Shijie , Zhao Fei , Meng Wei , Ma Chengliang , Zhong Xiangchong 
Published: August 2020

Abstract
Three low-grade mineral raw materials, i.e., natural dolomite, high-silicon magnesite, and forsterite tailings were used to prepare a MgO–2CaO·SiO2–3CaO·SiO2 composite refractory, and its hydration resistance was essentially improved. Free CaO was converted into more stable calcium silicate which protected MgO from hydration, and low melting phases formed by impurities promoted densification. The composite refractory, predominantly composed of MgO, β-2CaO·SiO2, and 3CaO·SiO2 with a bulk density of 3.13 g cm−3 and apparent porosity of 4.6%, was obtained after being calcined at 1600 °C for 3 h. The prepared composite exhibited excellent hydration resistance with a weight increase of only 0.03% at 1600 °C. Microstructural analysis revealed that a dense matrix consisting of intergranular calcium–silicate phases, was dispersed by rounded MgO aggregates.
A simple algorithm to find the L-curve corner in the regularisation of ill-posed inverse problems
Authors: Cultrera Alessandro , Callegaro Luca 
Published: August 2020

Abstract
We propose a simple algorithm to locate the ‘corner’ of an L-curve, a function often used to select the regularisation parameter for the solution of ill-posed inverse problems. The algorithm involves the Menger curvature of a circumcircle and the golden section search method. It efficiently finds the regularisation parameter value corresponding to the maximum positive curvature region of the L-curve. The algorithm is applied to some commonly available test problems and compared to the typical way of locating the l-curve corner by means of its analytical curvature. The application of the algorithm to the data processing of an electrical resistance tomography experiment on thin conductive films is also reported.
Association of a Clinician’s Antibiotic-Prescribing Rate With Patients’ Future Likelihood of Seeking Care and Receipt of Antibiotics
Authors: Shi Zhuo , Barnett Michael L , Jena Anupam B , Ray Kristin N , Fox Kathe P , Mehrotra Ateev 
Published: August 2020

Abstract

Background
One underexplored driver of inappropriate antibiotic prescribing for acute respiratory illnesses (ARI) is patients’ prior care experiences. When patients receive antibiotics for an ARI, patients may attribute their clinical improvement to the antibiotics, regardless of their true benefit. These experiences, and experiences of family members, may drive whether patients seek care or request antibiotics for subsequent ARIs.

Methods
Using encounter data from a national United States insurer, we identified patients &lt;65 years old with an index ARI urgent care center (UCC) visit. We categorized clinicians within each UCC into quartiles based on their ARI antibiotic prescribing rate. Exploiting the quasi-random assignment of patients to a clinician within an UCC, we examined the association between the clinician’s antibiotic prescribing rate to the patients’ and their spouses’ rates of ARI antibiotic receipt in the subsequent year.

Results
Across 232,256 visits at 736 UCCs, ARI antibiotic prescribing rates were 42.1% and 80.2% in the lowest and highest quartile of clinicians, respectively. Patient characteristics were similar across the four quartiles. In the year after the index ARI visit, patients seen by the highest-prescribing clinicians received more ARI antibiotics (+3.0 fills/100 patients (a 14.6% difference), 95% CI 2.2–3.8, P &lt; 0.001,) versus those seen by the lowest-prescribing clinicians. The increase in antibiotics was also observed among the patients’ spouses. The increase in patient ARI antibiotic prescriptions was largely driven by an increased number of ARI visits (+5.6 ARI visits/100 patients, 95% CI 3.6–7.7, P &lt; 0.001), rather than a higher antibiotic prescribing rate during those subsequent ARI visits.

Conclusions
Receipt of antibiotics for an ARI increases the likelihood that patients and their spouses will receive antibiotics for future ARIs.
Thoracic surgery during the coronavirus disease 2019 (COVID-19) pandemic in Madrid, Spain: single-centre report
Authors: Hoyos Mejía Lucas , Romero Román Alejandra , Gil Barturen Mariana , Córdoba Pelaez Maria del Mar , Campo-Cañaveral de la Cruz José Luis , Naranjo José Manuel , Crolwey Carrasco Silvana , Tanaka Shin , Sánchez Calle Alvaro , Varela de Ugarte Andrés , Gómez de Antonio David 
Published: August 2020

Abstract

OBJECTIVES

We reviewed the incidence of coronavirus disease 2019 cases and the postoperative outcomes of patients who had thoracic surgery during the beginning and at the highest point of transmission in our community.

METHODS
We retrospectively reviewed patients who had undergone elective thoracic surgery from 12 February 2020 to 30 April 2020 and were symptomatic or tested positive for severe acute respiratory syndrome coronavirus 2 infection within 14 days after surgery, with a focus on their complications and potential deaths.

RESULTS
Out of 101 surgical procedures, including 57 primary oncological resections, 6 lung transplants and 18 emergency procedures, only 5 cases of coronavirus disease 2019 were identified, 3 in the immediate postoperative period and 2 as outpatients. All 5 patients had cancer; the median age was 64 years. The main virus-related symptom was fever (80%), and the median onset of coronavirus disease 2019 was 3 days. Although 80% of the patients who had positive test results for severe acute respiratory syndrome coronavirus 2 required in-hospital care, none of them were considered severe or critical and none died.

CONCLUSIONS
These results indicate that, in properly selected cases, with short preoperative in-hospital stays, strict isolation and infection control protocols, managed by a dedicated multidisciplinary team, a surgical procedure could be performed with a relatively low risk for the patient.
Is Cortical Activation During Walking Different Between Parkinson’s Disease Motor Subtypes?
Authors: Orcioli-Silva Diego , Vitório Rodrigo , Beretta Victor Spiandor , da Conceição Núbia Ribeiro , Nóbrega-Sousa Priscila , Oliveira Anderson Souza , Gobbi Lilian Teresa Bucken 
Published: August 2020

Abstract
Parkinson’s disease (PD) is often classified into tremor dominant (TD) and postural instability gait disorder (PIGD) subtypes. Degeneration of subcortical/cortical pathways is different between PD subtypes, which leads to differences in motor behavior. However, the influence of PD subtype on cortical activity during walking remains poorly understood. Therefore, we aimed to investigate the influence of PD motor subtypes on cortical activity during unobstructed walking and obstacle avoidance. Seventeen PIGD and 19 TD patients performed unobstructed walking and obstacle avoidance conditions. Brain activity was measured using a mobile functional near-infrared spectroscopy–electroencephalography (EEG) systems, and gait parameters were analyzed using an electronic carpet. Concentrations of oxygenated hemoglobin (HbO2) of the prefrontal cortex (PFC) and EEG absolute power from alpha, beta, and gamma bands in FCz, Cz, CPz, and Oz channels were calculated. These EEG channels correspond to supplementary motor area, primary motor cortex, posterior parietal cortex, and visual cortex, respectively. Postural instability gait disorder patients presented higher PFC activity than TD patients, regardless of the walking condition. Tremor dominant patients presented reduced beta power in the Cz channel during obstacle avoidance compared to unobstructed walking. Both TD and PIGD patients decreased alpha and beta power in the FCz and CPz channels. In conclusion, PIGD patients need to recruit additional cognitive resources from the PFC for walking. Both TD and PIGD patients presented changes in the activation of brain areas related to motor/sensorimotor areas in order to maintain balance control during obstacle avoidance, being that TD patients presented further changes in the motor area (Cz channel) to avoid obstacles.
Daily Physical Activity Patterns and Their Association With Health-Related Physical Fitness Among Aging Workers—The Finnish Retirement and Aging Study
Authors: Stenholm Sari , Pulakka Anna , Leskinen Tuija , Pentti Jaana , Heinonen Olli J , Koster Annemarie , Vahtera Jussi 
Published: August 2020

Abstract

Background
This study aimed to identify accelerometer-measured daily physical activity patterns, and to examine how they associate with health-related physical fitness among aging workers.

Methods
The study population consisted of 263 participants (mean age 62.4 years, SD 1.0) from the Finnish Retirement and Aging study, who used wrist-worn ActiGraph accelerometer for at least 1 week including both workdays and days off. Health-related physical fitness measures included body composition (waist circumference, bioimpedance), cardiorespiratory fitness (bicycle ergometer test), and muscular fitness (push-up and chair rise tests).

Results
Based on the latent class trajectory analysis, 6 trajectories were identified for workdays showing variation in activity level on working hours and on evening hours. Moderate activity during working hours and increase of activity level in the evening was associated with the most favorable health-related fitness in comparison to low activity throughout the workday: waist circumference 90.0 cm (95% confidence interval [CI] 85.5–94.5) versus 99.5 cm (95% CI 96.8–102.3), fat mass 13.9 kg (9.3–18.5) versus 23.8 kg (20.2–27.4), cardiorespiratory fitness 33.4 mL/kg/min (95% CI 31.4–35.3) versus 29.1 mL/kg/min (95% CI 27.8–30.3) (adjusted for age, sex, days off activity, smoking, and alcohol). For the days off, 2 different trajectories were identified, but they differed only in terms of level and not by timing of physical activity.

Conclusions
A large variation in the workday physical activity patterns was observed among aging workers. Independent of worktime activity, people who were more active in the evenings had more favorable health-related physical fitness than those who were less active throughout the day.
Day-to-Day Variability in Subjective Age and Ageist Attitudes and Their Association With Depressive Symptoms
Authors: Bodner Ehud , Shrira Amit , Hoffman Yaakov , Bergman Yoav S 
Published: August 2020

Abstract

Objectives
Evidence of daily fluctuations in subjective age and their association with older adults’ well-being was recently obtained. Yet, neither the simultaneous tracking of two daily views on aging (i.e., daily subjective age and daily ageist attitudes) nor their interactive effect on mental health (i.e., depressive symptoms) has been explored. We hypothesized that (a) at days on which older adults feel older or report high ageist attitudes they would report higher depressive symptoms, (b) combined older subjective age and high ageist attitudes will be associated with the highest daily depressive symptoms.

Method
Community-dwelling older adults (N = 134, mean age = 69.66) completed measures of subjective age, ageist attitudes, and depressive symptoms for 10 consecutive days.

Results
Daily older subjective age and higher ageist attitudes were related to higher depressive symptoms, but there was no combined effect of both on depressive symptoms. There was a significant three-way interaction between subjective age, ageist attitudes, and chronological age, demonstrating the interactive effect of subjective age and ageist attitudes on depressive symptoms only among the old-old respondents. Time-lagged analyses further showed that ageist attitudes during previous days predicted feeling older and more depressed on following days, but not vice versa.

Discussion
Results suggest that old-old individuals are more susceptible to a combination of negative views on aging on daily basis. Findings further support a daily assimilation process, whereby previous-day stereotypes are assimilated and manifested into one’s identity and mental health, so that one feels older and more depressed on subsequent days.