Miracle-dz/UniFAR-FTUs huggingface dataset:
The research on hydrogen sensor based on nanofiber

Hydrogen is an important source used as an energy carrier and a chemical reactant or industrial material. However, if not handled properly, hydrogen content as low as 4% can lead to a life-threatening catastrophe. Hydrogen sensors with higher sensitivity, better selectivity, faster response, and wider dynamic range are of increasing importance in connection with the development. In this paper, a scheme of hydrogen sensor that satisfies these requirements with a single sensing element is proposed which is centered on a nanofiber. The sensor is based on stimulated Raman scattering spectroscopy but the tightly confined evanescent field associated with the nanofiber enhances the Raman gain per unitlength by a factor of more than 104 over free-space beams. In addition, the homemade signal processing circuit plays an important role in the whole sensing system instead of the commercial instruments, which makes it possible to develop a principle prototype. The circuit intergrates tne DFB laser driver circuit, the photoelectric detection circuit and the main control circuit which outputs modulation signal and acts as a digital lock-in amplifier. Several silica nanofibers operating in the telecom wavelength band has been manufactured and measured in an experiment that demonstrates hydrogen detection from hundreds parts per million to 100%. The reported sensor could be used in the field of new energy, electric power and aerospace for detection of hydrogen leakage or monitoring of transformer health conditions with advantages of low cost, small size and outstanding performance.
Noether's Problem for Abelian Extensions of Cyclic p-groups of Nilpotency Class 2

Let $$K$$ be a field and $$G$$ be a finite group. Let $$G$$ act on the rational function field $$K(x(g):g\in G)$$ by $$K$$-automorphisms defined by $$g\cdot x(h)=x(gh)$$ for any $$g,h\in G$$. Denote by $$K(G)$$ the fixed field $$K(x(g):g\in G)^G$$. Noether's problem then asks whether $$K(G)$$ is rational over $$K$$. Let $$p$$ be prime and let $$G$$ be a $$p$$-group of exponent $$p^e$$. Assume also that (i) $$K = p>0$$, or (ii) $$K \ne p$$ and $$K$$ contains a primitive $$p^e$$-th root of unity. In this paper we prove that $$K(G)$$ is rational over $$K$$ if $$G$$ is any finite $$p$$-group of nilpotency class $$2$$ which is an abelian extension of a cyclic group.
SubtStream: Online subtractive stream clustering algorithm

Real‐time stream data processing has gained high importance with the rapid rise of big data trends in different areas such as social media, finance, business, science, and bioinformatics. Stream data can be characterized as fast, unstable, and big data sets. Due to these properties of stream data, it cannot be processed effectively with traditional algorithms. Just like stream data processing, clustering is also a difficult task. However, researchers have attempted to classify stream data by modifying traditional algorithms or designing new ones. So, in previous studies, incremental methods were used for clustering the stream data. This paper highlights the need to develop an efficient real‐time clustering algorithm for data streams in the presence of concept high drift and an adaptive algorithm for different dimensions. The proposed clustering algorithm, SubtStream, combines decremental (subtractive property) and incremental (additivity property) strategies to overcome the high drift. It also introduces a new dimension‐based approach to adopt the dimension change. We use three radius parameters, Predefined User Parameter, Proactive Adaptive Parameter, and Reactive Adaptive Parameter, to achieve adaptability. The proposed method, SubtStream, showed better performance on synthetic and real data sets.
INVESTIGATION ON THE CAUSES AND EFFECTS OF VARIATION ORDERS IN THE CONSTRUCTION PROJECTS IN JORDAN

The construction industry nowadays faces several challenges that prevent it to be completed within the planned budget. the most effected challenge on the project cost is the variation orders, which became common on most construction projects. The variations in construction projects mean any change in quantity or quality of the project work. Based on various studies in the Jordanian construction industry it is found various sources of variation orders. Therefore, it is important to provide suitable recommendations to minimize variation orders during the project lifecycle. The aim of this study is to study the variation orders causes on the governmental construction project in Jordan. To meet that aim, a comprehensive literature review was conducted to locate and study the variation orders causes and its effect on construction projects worldwide. To achieve the study objectively the researcher adopted a structured questionnaire to gather the required data about the causes of VO. The collected data were analyzed statistically using the Relative Importance Index (RII). Based on the results of the study the critical causes of VO in construction projects in Jordan are grouped into main four groups such as causes related to owners, causes related to contractors, and causes related to consultants, causes related to unforeseen circumstances. The findings of the current study revealed that the critical causes of VO in the Jordanian construction industry are: unskilled laborers, inaccurate quantity take-off, shortage of human and equipment Resource, change of scope or plans by owners, absence of construction manuals and procedures , unavailability of the required labor skills , logistic delays , shortage of equipment and tools , technology changes , internal politics . Also, the results show that consultants are responsible for about 50% of the causes, 20% due to owners and unforeseen variations, and contractors are responsible for about 10% of the causes.
PENDEKATAN MODEL KANO PADA QUALITY FUNCTION DEPLOYMENT UNTUK PERBAIKAN KUALITAS KEGIATAN BELAJAR MENGAJAR

This research is about customer satisfaction related to service implementation of learning process at Faculty of Industrial Technology, Universitas Ahmad Dahlan Yogyakarta. The purpose was to determine the preference of students to services during the implementation of learning process and designing service quality implementation of learning process according to user preferences. The method to determine consumer preferences is the Kano model attributes, while for designing quality services used Quality Function Deployment method. The sampling technique method was simple random sampling. The design quality of service based on the preferences of the respondents carried out by: checking periodically, held training excellent service to employees, cleaning and checks on a regular basis, providing a suggestion box, checking the number of participants of the course, accelerate the schedule of lectures of the study program, setting internet connection in Wide Area Network and the provision of notice boards.
Vesceral Control on Electric Gadgets by Smartphones for Smart Abode Environment

Recently, many industries have developed many applications in order to control the electric devices by users through smart phones via wireless links. The main disadvantage of these developed applications is that the users must switch between the APPs to control the electronic devices. Here, we use individual applications for each electronic device. In this paper, we are developing a single android application to control the electric devices using smart phone. Here, when a user raises her smart phone and point a device, automatically the control panel of that particular device pops out, further, we can control the device. In a smart home, electric devices such as plugs, televisions, lights, and air conditioners will be controlled using wireless communication capabilities (e.g., Wi-Fi, Bluetooth, or ZigBee). With the progress of smart phones and internet there are more new products available in the market that allow users to use smart phones as remote controllers. Existing smart home remote controllers require users to traverse device lists to find the right ones that they wish to control. This control fashion is the most effective way of controlling home or industrial appliances. There are two simple ways . They are usage of commercial smart phones which has infrared modules and the other is to derive the relative locations between smart phones and electric devices.
Fast Remaining Capacity Estimation for Lithium‐ion Batteries Based on Short‐time Pulse Test and Gaussian Process Regression

It remains challenging to effectively estimate the remaining capacity of the secondary lithium‐ion batteries that have been widely adopted for consumer electronics, energy storage, and electric vehicles. Herein, by integrating regular real‐time current short pulse tests with data‐driven Gaussian process regression algorithm, an efficient battery estimation has been successfully developed and validated for batteries with capacity ranging from 100% of the state of health (SOH) to below 50%, reaching an average accuracy as high as 95%. Interestingly, the proposed pulse test strategy for battery capacity measurement could reduce test time by more than 80% compared with regular long charge/discharge tests. The short‐term features of the current pulse test were selected for an optimal training process. Data at different voltage stages and state of charge (SOC) are collected and explored to find the most suitable estimation model. In particular, we explore the validity of five different machine‐learning methods for estimating capacity driven by pulse features, whereas Gaussian process regression with Matern kernel performs the best, providing guidance for future exploration. The new strategy of combining short pulse tests with machine‐learning algorithms could further open window for efficiently forecasting lithium‐ion battery remaining capacity.
Book Review: Beating depression and bipolar disorder without drugs: A memoir of survival in a male-dominated world

Nathan T. Bitecofer is a PhD candidate at The University of Akron. Ronald F. Levant, EdD, MBA, ABPP, is Professor Emeritus of Psychology at The University of Akron; Past President of the American Psychological Association (APA) and APA Division 51, the Society for the Psychological Study of Men and Masculinities; and two-term Editor of APA Division 51’s quarterly journal, Psychology of Men & Masculinities. He is widely considered one of the key people responsible for creating the new field of the psychology of men and masculinities. His most recent book: Levant, R. F. , & Pryor, S. (2020). The tough standard: The hard truths about masculinity and violence. Oxford University Press.
Use of hydrogen fuel in drive systems of rail vehicles

The search for substitutes for modern fossil fuels incentivises the use of new propulsion systems (hybrid or electric) and the use of new fuels (gaseous, mainly hydrogen). The article discusses the basic issues related to hydrogen fuel: from its extraction, through the discussion of its properties to its use and applications. Analyzes of the energy consumption involved in its extraction or production were presented, classifying hydrogen in those terms. Great emphasis was placed on design solutions for the use of hydrogen in internal combustion engines, together with discussing the concept of its combustion. The methods of storing hydrogen in a condensed and compressed form were also presented, indicating at the same time the most modern solutions available, such as mixed systems – storage in cryo-compressed form. It has been shown that the combustion of hydrogen in internal combustion engines increases their efficiency, and at the same time significantly reduces the exhaust emissions of toxic gases – including the emission of nitrogen oxides.
How Does Whiteness "Show Up" in Responses to Racist Harm? A Selective Literature Analysis and Framework for Practice

Abstract:In this paper, I offer a conceptual framework for examining how racism and white supremacy might be manifested through a textual discourse of whiteness in student affairs responses to racist harms. I define a textual discourse of whiteness as how various peoples' interactions and work with texts within an institutional setting create a social reality that avoids and minimizes the historical and contemporary nuances of racism (Cabrera et al., 2017; Leonardo, 2009; Smith, 1993). To examine the textual discourse of whiteness in student affairs practice, I analyze literature about responding to racist harms in these settings. Based on my analysis of the literature, I offer a framework for examining whiteness within institutional practices for responding to racist harms. I conclude by proposing an institutional ethnographic approach for helping researchers and practitioners shed new light on how whiteness operates within student affairs efforts for racial equity.
Developing Privacy Extensions: Is it Advocacy through the Web Browser?

In 2015, Edward Snowden recommended that ordinary citizens use adblocking software and an encryption-oriented privacy extension for their web browser to protect against surveillance. This paper critically explores how the development of privacy extension software for web browsers can be situated in relation to privacy advocacy. Privacy advocates are individuals who act on behalf of the citizenry to speak to governments and corporations about how our data are collected and processed. While the Snowden revelations began in 2013 and the Cambridge Analytica scandal broke in 2018, privacy extensions remain underexplored in the literature on privacy advocacy. This paper shares findings from ethnographically informed interviews conducted with thirty developers and other knowledgeable experts who created twenty-six named privacy extensions. The privacy extensions explored included anti-tracking, hypertext transfer protocol secure (HTTPS), and privacy policy and password-related functionalities. Although privacy extensions are an imperfect set of tools to protect privacy, we argue that production of this software demonstrates an array of privacy advocacy strategies. Privacy extensions can be scaffolded upon previous resistance moves to surveillance by individuals, while also sometimes intersecting with traditional and expanded notions of collective action in the digital age.
Moringa oleifera Seed Treated Sanitized Water Effect on Growth and Morpho-physiology of Commonly Consumed Vegetables of Malaysia

Moringa oleifera seed solution was used in this study to treat municipal wastewater that were used as the treatment in this study. There were 3 treatments used; treated wastewater, normal tape water and untreated wastewater. The wastewater were collected at main drainage at Batu 7 (5o52’57.2’’N 118o02’39.7”E) and diagnosed based on the pH and EC. Data on plant height (cm), number of leaves, leaves length (cm), chlorophyll, and number of primary branches were taken every week until week 4. For root length (cm), fresh weight (g), dry weight (g) and moisture were taken after the harvesting. The data collected were analyzed by using Statistical Analysis Software (SAS) version 9.4 computer program with experimental design was Randomized Complete Block Design (RCBD). The means were separated and compared using Duncan’s Multiple Range Test (DMRT) at 0.05 significant level. M. oleifera seeds solution treated irrigation exhibited positive outcomes for most of the parameters recorded, but response of different vegetables were also different on varied parameters. The increase of pH from untreated waste water (6.40) to sanitized/treated waste water (6.73) and reduction of EC from untreated waste water (367.9) to sanitized/treated waste water (359.1) is the proof of making nutrients more available for plants uptake. From the overall study it is proved that M. oleifera seeds are suitable as the replacement and an alternative besides chemical coagulant to treat wastewater which is cheaper, eco-friendly and sustainable to be used in agricultural irrigation based on all the parameters evaluated in this study.
Biogeographic and evolutionary history of Crotonoideae based on pollen evidence from Indian Late Cretaceous and Paleogene sediments

Euphorbiaceae Juss. is a globally distributed angiosperm family with considerable diversity. It is divided into five subfamilies, each of which possesses pollen of distinct morphology. The subfamily Crotonoideae, occurring in evergreen, moist deciduous as well as dry deciduous forests of the world, shows a disjunct distribution pattern in Gondwana and Southeast Asia. This subfamily underwent multiple speciation and extinction events during the northward voyage of the Indian Plate during the Late Cretaceous‐early Paleogene. We studied Crotonoideae fossil pollen from the Late Cretaceous Deccan Intertrappeans (Central India) and early Paleogene sediments from the western Indian lignite mines, and as a result, report 10 pollen fossils showing similarity with the extant genera Blachia, Croton, Endospermum, Jatropha, Klaineanthus, and Tetrorchidium, representing 4 tribes of Crotonoideae viz. Adenoclineae, Codiaeae, Crotoneae, and Jatropheae. Fossil evidences from the present study suggest a Gondwanan origin for Crotonoideae. Based on the extant and fossil species, Africa could be the place of origin for most of the Crotonoideae lineages that later dispersed to India via the Kohistan‐Ladakh Island Arc during the late Maastrichtian‐Paleocene time. The former distribution of Crotonoideae in mid‐high latitudinal regions is due to the dispersal of the subfamily from Africa to mid latitudinal regions of northern hemisphere during the early Paleogene via the boreotropical dispersal route. This study also corroborates the “Out of India” hypothesis for the dispersal of Crotonoideae from India to Southeast Asia. The present deep‐time fossil records from India discussed in this study substantiate the evolutionary and biogeographic history of subfamily Crotonoideae.
A video target detection method based on temporal redundancy

Aiming at the problems of poor real-time performance of image target detection algorithm in airborne video and unused inter frame redundancy features, this paper proposes OFYOLOX method. For continuous airborne video, the key frame and non key frame are distinguished, and the YOLOX target detection algorithm without anchor box is used on the key frame, which improves the adaptability and simplicity of various targets; ON non-key frames optical flow estimation and feature transformation are used to obtain detection features, which achieves higher real-time requirements and the accuracy is 85.1%. It provides a reference for airborne video target detection.
Use of digital educational equipment experiment as a
current problem of environmental education

Already today, the spread of the IoT network is gaining momentum. The obvious benefits of connecting IP in the daily life of society are monetized in a significant reduction in costs, and therefore relevant. In addition, the use of such technologies leads to the actualization of certain skills of IoT users, the emergence / development of new competencies, the formation of which, in our opinion, can be done at the first year of higher education or even secondary education. The article gives examples of the use of digital measuring computer systems Einstein, LabDisc, Pasco, Relab, L-micro, FourierEdu – NOVA Link, NOVA 5000, COBRA 4. The advantages of working with digital equipment for teachers and students are identified. The ways of IoT development, as well as the implementation of his ideas in the educational process are outlined.
Year and Plant Population Density Effects on Ear Initial Development and Grain Yield

Year and Plant Population Density Effects on Ear Initial Development and Grain Yield Graham C. Moum Advisor: University of Guelph, 2014 Dr. Elizabeth A. Lee Maize early ear development is a portion of grain yield allocation that is not well understood. Recent work suggests that not all florets develop properly and at high planting densities a larger proportion of these florets do not develop normally. Ear initial and grain yield traits for nine genotypes were analyzed over three years using five plant population treatments. The number of normally developed florets was not significantly different from the number of kernels found on an ear but correlation analysis demonstrated that the relationship was not consistent across treatments. Grain yield was also not explained to the expected extent by floret morphology one week prior to silking. Both of these observations suggest that further study is required for a better understanding of floret development and it’s relation to kernel number. Data for kernel weight (KW) demonstrated both source and sink components are important for KW determination.
Assessment Of Investment Strategy With A Utility-Based Approach

The purpose of this study is to analyze the assessment of investment strategies with a utility-based approach. The rise of investment at this time has the aim of increasing welfare in the present and in the future. Investing is expected to have the best investment strategy and be supported by investment knowledge. Investment strategy requires consideration of economic factors, business intuition, experience. Approaching retirement age, investments are made more determined by psychological factors, therefore, it is necessary to manage the financial portfolio of retirement income with the right strategy. How to manage investments in a retirement portfolio. People who have entered retirement age always want to get the maximum utility from the pension money they have earned so far. When money has been invested in certain assets, under which conditions are formed: (1) the safest investment withdrawal rate (2) can be used in the possibility of running out of money which is considered to have failed to plan as the main measure of investment performance in a pension fund portfolio.
Integrated photonic computation accelerator based on a cascaded array of Mach-Zehnder interferometers

Artificial neural networks have dramatically improved performance for many data processing tasks, including speech and image recognition. Today’s hardware based on von Neumann computering scheme is inefficient at implementing multiply-accumulate operations in neural networks. To tackle this issue, several kinds of electronic architectures have been developed, including GPU, FPGA and ASICs. However, with the gradual end of Moore's law, these architectures still encounter bottlenecks in terms of computation speed and power efficency. Recent years, optical computing technology has attracted much attention for its large bandwith and low latency, and significant effort has been made. Here we propose an integrated photonic chip that is capable of accelerating multiply-accumulate operations. The chip contains a cascaded array of 16 Mach–Zehnder interferometers which can be programmed to perform arbitrary 4×4 matrix. The theory simulation results of the device design are demonstrated.
Aperture-scanning Fourier ptychography for super-resolution macroscopic imaging

We study a super-resolution synthetic aperture imaging scheme called macroscopic fourier aperture scanning imaging. By scanning the aperture on the Fourier plane of the optical system, we get a series of low resolution images of the scene. Then, the collected images are synthesized iteratively in the frequency domain. In the initial stage of recovery, the highresolution complex wave front is recovered without any phase information. The mathematical model of the imaging system is established, and the scene super-resolution imaging and phase recovery are realized through simulation. This macroscopic fourier superposition imaging technology has broad application prospects in the fields of long-distance highresolution imaging, remote sensing detection and so on.