bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implementation of a home-made high accuracy pulsimeter and oximeter
Authors: Fernández-Alonso F.J. , Pau J.L. , Redondo-Cubero A. 
Published: October 2022

Abstract
Heart rate and blood oxygen saturation level are essential medical parameters that can be measured optically by photoplethysmography. However, certain individuals present variability in skin absorption that can affect the proper quantification of both pulse and blood oxygen level. In this work, we designed an optical device capable of measuring these variables, trying to improve the accuracy by means of different electronic signal processing. A final accuracy of 0.5 beats per minute and 0.5% was determined for the heart rate and the oxygen saturation measurements, respectively. The sensor was used in one practical study with more than 100 participants where the resting heart rate and the pulse waveform were analyzed. Resting heart rate was shown to decrease with age and increase with BMI. Overall, the device performance makes it suitable to be used in the medical field and sports science.
An assisted decision-making tool for synchrotron beamline alignment based on neural networks
Authors: Yan Ruyu , Yang Yiming , Xing Chengye , liu Peng , Chang Guangcai 
Published: October 2022

Abstract
To achieve an excellent focus quality, the parameters of optical elements (OEs) are, in most of the synchrotron beamlines, manually adjusted.
This procedure is not only time-consuming and experience-dependent but also extremely complex when various experimental requirements are involved.
Responding to this challenge, we propose a new beamline alignment tool based on neural network-assisted design.
This method can predict the parameters of OEs, according to experimental requirements.
Specifically, the artificial neural network (ANN) training set is generated, based on SHADOW3 and Synchrotron Radiation Workshop (SRW) in OASYS.
Then, the magnification factor (M) of the focusing lens and the position (P) of the secondary source is predicted, using the aforesaid tool.
Finally, the parameters are verified by substituting back to the OASYS.
The results show that learned NNs can predict the main parameters of the OEs with high accuracy (above 97%).
Then bring the parameters above back to the OASYS software to obtain the re-tracing results.
Furthermore, the final focused quality at the sample point satisfies the experimental design indicators.
Experimental design indicators are flux, full width at half-maximum (FWHM) at the sampling point and transmission efficiency.
Compared to other methods, this is a successful exploration of the ANN in the field of synchrotron beamline alignment, and
it is an important guide for the design of beamlines alignment.
Biohybrid robots: recent progress, challenges, and perspectives
Authors: Webster-Wood Victoria A , Guix Maria , Xu Nicole W , Behkam Bahareh , Sato Hirotaka , Sarkar Deblina , Sanchez Samuel , Shimizu Masahiro , Parker Kevin Kit 
Published: October 2022

Abstract
The past ten years have seen the rapid expansion of the field of biohybrid robotics. By combining engineered, synthetic components with living biological materials, new robotics solutions have been developed that harness the adaptability of living muscles, the sensitivity of living sensory cells, and even the computational abilities of living neurons. Biohybrid robotics has taken the popular and scientific media by storm with advances in the field, moving biohybrid robotics out of science fiction and into real science and engineering. So how did we get here, and where should the field of biohybrid robotics go next? In this perspective, we first provide the historical context of crucial subareas of biohybrid robotics by reviewing the past 10+ years of advances in microorganism-bots and sperm-bots, cyborgs, and tissue-based robots. We then present critical challenges facing the field and provide our perspectives on the vital future steps toward creating autonomous living machines.
Environmentally driven risk assessment for algal bloom occurrence in shallow lakes
Authors: Zhang Peipei , Mao Jingqiao , Cai Haibin , Huang Wenqin , Zhu Shijie , Hu Tengfei 
Published: October 2022

Abstract
An algal bloom is a complex hydro-biological phenomenon driven by multi-attribute environmental processes and thus is still difficult to predict. In this paper, a comprehensive modelling framework for forecasting algal bloom risks in shallow lakes is presented, which is based on long-term field observation and modelling of eutrophic shallow lakes. In the procedure, the major factors and their suitable ranges are investigated, and the individual influence of various driving factors is evaluated quantitatively, using an integrated approach of orthogonal design and regression analysis. By analysing the possible combined effects of the major driving factors and the relationship between algal bloom risk and major bloom-driving factors, a cost-effective environmentally driven risk assessment model is developed to forecast the likelihood of algal bloom occurrence, through a parameter optimization and prediction comparison routine. The risk model has been calibrated and validated against long-term field observations of algal blooms in Taihu Lake, with the prediction accuracy higher than 70%, which only requires readily available meteorological and water quality data. It is noted that for the closed shallow lake, the influence of hydrodynamics can be indirectly reflected by the variation of wind speed; and, total phosphorus, water temperature, photosynthetically active radiation, and average wind speed could be used as major bloom-driving factors in Taihu Lake generally. This study provides a practical framework for the development of algal bloom early warning schemes for shallow lakes and helps to understand the combined function of complex bloom-driving factors.
Soil moisture-vegetation interaction from near-global in-situ soil moisture measurements
Authors: Li Shuping , Sawada Yohei 
Published: October 2022

Abstract
Although the interactions between soil moisture (SM) and vegetation dynamics have been extensively investigated, most of previous findings are derived from satellite-observed and/or model-simulated SM data, which inevitably include multiple sources of error. With the effort of many field workers and researchers in in-situ SM measurement and SM data integration, it is now possible to obtain the integrated in-situ SM dataset in the global range. Here we used the in-situ SM dataset of the International Soil Moisture Network to analyze the anomaly correlation between SM and leaf area index (LAI). We found that positive (negative) correlations exist between SM (LAI) and temporally lagged LAI (SM). The peak correlation and lagging time to reach it (often less than 3 months) depends on climate, land cover and rooting depths. The high SM-LAI anomaly correlation prevails in water-limited regions, e.g. dryland, where plant physiology has strong sensitivity to subsurface water stress. Dynamics of vegetation with deeper maximum rooting depths are not always correlated with SM in deeper soil layers, and vegetation dynamics with shallower maximum rooting depth may strongly correlate with SM in deeper soil layers. Overall, we highlight the potential of the global in-situ SM observation network to analyze the interactions between SM and vegetation dynamics.
Identification of Groundwater Potential Zone using Multi-Influence Factor Technique (Study Case: Brantas Groundwater Basin, East Java, Indonesia)
Authors: Masitoh Ferryati , Ar-Rouf Ferdian Budi , Rusydi Alfi Nur 
Published: October 2022

Abstract
Brantas Groundwater Basin is the biggest groundwater basin in East Java Province, Indonesia. It is covering 22 regencies/cities which have high water need. Mostly people water need is supplied from groundwater. Identification of Groundwater Potential Zone (GWPZ) is required to ensure sustain groundwater supply for fulfilling that water need. One technique for that is Multi-Influence Factor (MIF). It considers influence factors of groundwater such as rainfall, geology, geomorphology, slope, lineament density, drainage density, soil texture, and land-use/landcover. Raster data obtained from Google Earth Engine (GEE), Aster DEM, and Geological Map of East Java were included as the research data. They had score and were estimated by using MIF technique. GEE and open-sourced GIS were used in computational raster data processing of MIF technique. Identification result of GWPZ showed that Brantas Groundwater Basin consist of zones which are very poor (2% area), poor (24% area), good (47% area), and very good (17% area). The result can assist hydrogeologist and local authorities to formulate further policy of GWPZ management.
The Effect of Land Use Changes on Land Surface Temperature in Malang City’s on 2016 - 2020
Authors: Azizah Vischawafiq , Deffinika Ifan , Arinta Dicky 
Published: October 2022

Abstract
The land use structure in Malang City has experienced the addition of built-up areas (conversion of built-up land) to areas that are not designated, either naturally or planned. The higher the number and density of the population in Malang, which is accompanied by the need for space for living and activities, is one of the causes of land conversion. buildings and asphalt in urban areas contribute greatly to high surface temperatures. This study aims to see changes in land use that occurred in Malang City in 2016-2020, as well as their effect on soil surface temperature. The data used in this study is Landsat 8 OLI/TIRS Imagery (2016-2020) used to generate land cover, building density, vegetation density, and land surface temperature. This study uses land cover classification methods, Normalized Difference Built-Up/Barren Index (NDBI), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST). The results show that the change in land use into built-up land is an increase in ground surface temperature, where in 2016 the minimum temperature was at 14.8°C to 20.2°C in 2020. Land Surface Temperature has a positive correlation with building density, and negative correlation with vegetation density.
Composing The Map of Ambon Island to Strengthen the History Student’s Spatial Thinking Skills
Authors: Suprapta B , Wijaya D N , Wahyudi D Y 
Published: October 2022

Abstract
This paper aims to guide how the history teacher facilitates his student to compose their map and develop their spatial thinking skill. This paper is divided into three sections of Hikayat Tanah Hitu, visualizing the narrative map of Ambon and teaching how to compose the historical map to strengthen student’s spatial thinking skills. The first deals with the historical context and the characteristics of Hikayat Tanah Hitu. Second, the researchers aim to narrate their experience to compose a digital map, by Geographical Information System (GIS), based on the narrative map of Hikayat Tanah Hitu (Hitu Chronicle). The last refers to the researchers’ suggestion for history teachers to teach their students. The researchers also suggest that the next researcher analyze all place names mentioned in Hikayat Tanah Hitu and visualize them into several digital maps.
Development of Android-Based Tourism Information System Prototype at Purwodadi Botanical Garden
Authors: Rizky Maulidatur R , Binti Muti’atul A , Tillah Mardha , Mayang W.K , Radite W.A , Wagistina Satti , Komang Astina I 
Published: October 2022

Abstract
Purwodadi Botanical Gardens is one of the dry lowland plant conservation. The number of tourist attractions and a large area of the botanical gardens raise two main problems among visitors regarding information about the Purwodadi Botanical Garden, especially the system information. This research and development aim to solve this Purwodadi Botanical Garden information system by making a tourism information system prototype that can be access by using the tourist gadget everywhere and anywhere. The system development contains information about the facilities map in Purwodadi Botanical Garden. There are two types of data used in this research development namely primary (the coordinates point of sites and facilities) and secondary data (about the site function). The primary data collect by using the application named GPS essential, and the secondary data obtained from related agencies named LIPI. Figma used for the prototype system development by the researcher. The next existing application prototype can be developed further by adding features and menus according to the needs and changes that occur every time. Researcher hopes that with the development of this prototype, the management can follow up in terms of developing a tourism information system at Purwodadi Botanical Gardens.
Eco-Anxiety and Environmental Concern as Predictors of Eco-Activism
Authors: Jain Nishtha , Jain Prashasti 
Published: October 2022

Abstract
The earth is under a great threat of destruction due to careless and exploitative anthropological actions. The current research explored the relationship between eco- anxiety (EAn), eco-activism (EAc) and environmental concern (EC) while determining the extent to which eco-activism gets determined by eco-anxiety and environmental concern. Three scales, namely, Hoggs Anxiety Scale, Pro Environmental Behaviour Scale and Taj Environmental Attitude scale were used. Pearsons correlation and regression were used for statistical analysis. A significant (0.01 level) mild positive correlation of 0.22 between eco-activism and eco-anxiety and of 0.33 between eco- activism and environmental concern was found. Regression analysis showed that eco- anxiety and environmental concern significantly predicted eco-activism. The relationship between the variables was further explained in the discussion section.
Clean drinking water solution for rural India: Portable sip-up
Authors: Ahmad Meraj , Sharma Arti , Mujtaba Quadri S. , Yadav Saurabh , Kulkarni Ritwik , Satankar Raj Kumar , Gupta Sandeep , Nighojkar Amrita K , Chhabra Meenu , Dixit Ambesh , Plappally Anand 
Published: October 2022

Abstract
Ceramic water filters (CWFs) have been used in India due to their low expense, ease of manufacture, and livelihood sustenance features. However, the use and throw character of such systems has not been achieved. The purpose of this study is to develop and investigate the portable CWF variant named Sip-up, which can be attached to any commercially available bottle-based containers. These are porous functional structures made of a distinct volume fraction combination of salty clay, sawdust, and marble powder wet mix, formed into cylindrical shapes and baked at 650°C. The influent and filtrate water samples were analyzed. After filtration, the pH, on average, significantly improves from 8.2 to 7.4. The TDS level, conductivity, and salt content have been reduced by 8.43%, 6.89%, and 5.83%, respectively, which conforms to the WHO limits. A 99% reduction of E. Coli bacteria through CWF was also observed. This portable water filter will be accessible to the people at the lowest economic pyramid.
Integrating Digital Mission and Sustainable Development Goal-9 for Building Technologies: A study of Navratna Companies of India
Authors: Mahajan N , Singh V , Kaur N , Gupta A 
Published: October 2022

Abstract
The study focuses on 10 Navratna companies based in India that come under the central public sector enterprises. The study focuses on the Digital Mission by the Government of India, its impact on the industries operating in India and how technologies have affected the overall productivity of Indian enterprise with their approach to achieve SDG-9. The study finds that the Navratna companies have been successfully working towards achieving the goals of SDG-9 for building resilient infrastructure, sustainable industrialisation and fostering innovation but still they need to use the technologies to their maximum potential in terms of improving their overall productivity and delivery. The data for the study has been collected through secondary resources like websites, annual reports, research materials and company websites. The implication of the study is that other companies operating in India and abroad can learn about implementing the sustainable development goal in their day-to-day practices to increase productivity and improve infrastructure, thereby fostering innovation and growth. This will help India reach its goal of becoming a major manufacturing hub and a digitally advanced nation.
Performance evaluation of the Absorbing Plate of a Hybrid Solar Dryer for Potato Drying
Authors: Behera Debashree Debadatta , Mohanty R.C. , Mohanty A.M. , Das Shiv Sankar , Nayak Bijaya Bijeta 
Published: October 2022

Abstract
The present study is to develop a long-term livelihood program for drying food products using solar technology and a hybrid type solar dryer. The present study is to analyze of absorbing plate of the dryer for getting maximum temperature by both experimental and simulation procedures. The dryer is made up of aluminium sheet and SS304 grade stainless steel perforated trays and has a capacity of 20 kg/day for drying potatoes. The main objective of this study is to simulate the steady-state thermal analysis using ANSYS software of the absorbing collector plate fabricated with corrugated Aluminium sheet. The maximum temperature, total heat flux, and directional heat flux are found as 88.311°C, 0.131333 W/mm2, and 0.0765 W/mm2 respectively. Experimentally highest temperature of the absorbing plate is reached as 89°C. Performance indicators such as drying efficiency, drying rate, coefficient of performance, and heat utilization factor are evaluated as 43%, 0.607 kg/hr, 0.22, and 0.7948.
Soil dissolved organic carbon leaching characteristics of the coastal saline seepweed wetlands in the Wuleidaowan national wetland
Authors: Zhang Yijie , Zhang Haotian , Zhang Yihang , Xiujun Tian 
Published: October 2022

Abstract
As the most active component of soil TOC (Total Organic Carbon), DOC (Dissolved Organic Carbon) is either adsorbed by the soil and used by plants or transported by soil water into the water column, where it participates in the broader carbon cycle. As a substantial "mobile carbon pool" in soils, its leaching process is an essential pathway for the loss of soil TOC. This paper analysed the investigated the leaching characteristics of soil DOC by simulating leaching in an indoor soil column based on the spatial distribution of soil TOC and DOC contents in order to reveal the leaching and migration characteristics of soil DOC at different depths and its main influencing factors. The DOC content of soil leachate varies somewhat under conditions such as PH and soil phosphorous content. However, the overall trend is that the DOC content of soil leachate generally increases with the depth of the soil layer. The DOC content in the soil leachate gradually decreased with increasing leaching time. In the absence of exogenous carbon recharge, the loss of TOC from the upper layers of the soil was significantly more remarkable due to the prolonged leaching. In addition, soil TOC loss declined after leaching and decreased significantly with increasing soil depth. Because the soil DOC is adsorbed and trapped in other layers during leaching, the DOC in the upper layer was always lost during the leaching test. The experiments used highly concentrated DOC solutions as drench solutions. According to the analysis of the intensity of the fluorescence centres of each soil layer in the three-dimensional fluorescence pattern of the drench solution of each soil layer, the ability of different soil layers to adsorb and retain organic matter of different fractions differs. In addition, the selected soil layers planted with Saline seepweed show a general decreasing trend in the ability to adsorb and retain organic matter as the depth increases.
The Uptake of Environmental Management System by Small and Medium Enterprises (SMEs) in India
Authors: Sharma H P , Kumar K 
Published: October 2022

Abstract
The purpose of this study to scrutinize the drivers that impact the acceptance and execution of EMP in SMEs companies in India. To identify the various enablers exploratory research method was used. A total of 356 senior executives were surveyed from 89 manufacturing organizations located in NCR, India. Based on factor analysis, four factors were identified responsible for the adoption of environmental management actions in Indian SMEs. These factors were the most important enablers for application of management systems in the organization. These finding will be useful for the practitioners, policymakers and academicians to work upon these enablers to promote application of management system for environment in the organization.
Sustainable Energy Efficient Green Campuses: A Systematic Literature Review and Bibliometric Analysis
Authors: Pandya Chintan , Prajapati Saurabh , Gupta Rupam 
Published: October 2022

Abstract
A sustainable university campus uses energy that does not produce carbon dioxide, protects natural ecosystems, cuts down on the use of natural resources, and recycles or reuses waste in a useful way. The first steps toward a sustainable campus initiative are to use less energy from fossil fuels, use more energy sources that do not rely on carbon, use more energy-efficient technology, recycle waste, and add more greenery to the campus. The Higher Learning Institutes also have a social duty to help people understand the idea of sustainability better. This paper’s primary objective is to study the research and development trends in the realm of sustainable development objectives as they pertain to university campuses. The researchers have undertaken a comprehensive literature study and bibliometric analysis of the pertinent articles. Comprehensive use of the VOSviewer software to map current studies on sustainable energy-efficient green campuses. 707 scientific papers (published between 2012 and 2021) were obtained from SCOPUS for the bibliometric analysis for the influential authors, top-cited articles, and co-citation analysis, while 31 articles published in the United States and India were selected for the systematic literature review to assess the trends and future research directions on this subject. According to the findings, the most researched topics are carbon-neutral campuses, smart technology, food and waste management, transportation, and sustainable campuses, with future research focusing on less explored topics such as energy-efficient campus planning, green infrastructure, and landscape design, and photovoltaics. Since it identifies current research hotspots and new study routes, this paper will be a great resource for academics and practitioners interested in sustainable and energy-efficient green campuses.
Low frequency Vibration Energy Harvester using Compliant Mechanism driven Rosen-type Piezoelectric Transformer
Authors: Bhattacharjee Sanniva , Kanu Aryan , Chowdhury Arnab Roy , Mondal Soumyadeep , Chattaraj Nilanjan , Hui Nirmal Baran 
Published: October 2022

Abstract
This paper represents an energy harvesting technique using a compliant mechanism driven Rosen type piezoelectric transformer from low frequency (3-10 Hz) reciprocal gripping motion. The finite element model of the compliant structure is synthesized using topology optimization implementing the density model and is coupled with a piezoceramic transformer to operate it by human hands. The mechanism can also be operated with the help of external mechanisms. As a case study, the proposed compliant mechanism is modelled considering acrylic plastic material. The mechanism can produce a maximum power of 62.7 μW for a 10 Hz gripping frequency while operating at its optimal conditions. The paper also discusses the resonance condition of the structure to check its marginal state. The harvested energy can be extracted across a load resistances attached at both primary and secondary side of the piezoelectric transformer.