Miracle-dz/UniFAR-FTUs huggingface dataset:
11 Constituting Users in Requirements Techniques

This paper explores the concepts of the "user" and "user participation" in the infonnation systems (IS) literatures. It argues that categories such as future IS users are constituted by the processes of systems development such as requirements analysis techniques. The upshot of this argument is straightforward: qualitative research should not naively deploy categories such as users without acknowledging the considerable work that has gone into their constitution. This is not just an important academic nicety: constituting categories such as users and developers is shown to be a major concern of those engaged in systems development because it facili tates control of this process. The paper examines two well known ap proaches to systems development that involve users: ErnICS/QUICK ethics and the Scandinavian cooperative approach, to show their constitu tive effects. While agreeing that user participation is desirable, this paper makes four points that compromise many of the ambitions of user participation in systems development. First, that user participation is engaging in a political process in which issues of representation are cen tral; second, that users (and systems developers) are categories constituted by these processes of systems development; third, that the users' ability to speak for the organization is usually limited; and finally, that users need to be wary of how information technology is represented to them by
FROM HABITUAL TO COMPULSIVE BEHAVIOUR. 360 DEGREES AROUND SMARTPHONE AMONG THE GENERATION Y — EMPIRICAL STUDY

N owadays, mobile technologies have resulted in an emergence of new behaviour patterns among young consumers. Some of the behaviour types are highly welcome, but some can be defined as undesirable or even harmful. One such behaviour is smartphone usage, which today is becoming an inseparable attribute of the representatives of the Y generation. The usage of smartphones has increased rapidly in recent years (Demirci et al., 2015, p. 85). Their common use derived from many functional advantages, but mobile phone usage can be ‘dependency-forming, habitual and addictive’ (Shambare et al., 2012, p. 577). Even though the smartphone addiction has not been recognised in psychiatry and the official diagnostic criteria do not exist, it has been defined as the overuse of smartphone to the extent that it disturbs users’ daily live (Demirci et al., 2015, p. 85). Studies estimate that smartphone addiction ranges from anywhere between just above 0% and 35%, with one study reporting that 48% of undergraduate university students were smartphone addicts (Aljomaa et al., 2016, p. 159). Therefore, this research sheds light on the issues of consumer behaviour and the mobile product usage. The study provides a supportive source for an in-depth understanding of consumer behaviour regarding the mobile product usage and the directions of marketing management activities concerning a technological product development. The scientific problem concerns finding the answer to the question whether young consumers show an inclination to an addiction to the specific technological product. The scientific goal is to identify the tendency of the Y generation to demonstrate habitual and/or compulsory behaviour on the example of the smartphone usage. The research hypothesis states that among the Y generation smartphone users a phonoholism phenomenon exists. To achieve the research goal, the frequency of activities undertaken using the smartphone and actions that follow in the wake of the smartphone use were studied. Then, the original Consumer Phonoholism Inclination Scale was proposed and applied. To obtain research data, a PAPI survey was carried out among people at the age of 19–24 in 2017 in Poland. The study provides a supportive source for an in-depth understanding of a technological product use. Smartphone use in the light of habitual and compulsive behaviour
Surface cooling linked to increased glacial carbon storage via 1 changes in Antarctic sea ice 2

Paleoceanographic reconstructions indicate that the distribution of global 6 ocean water masses has undergone major glacial-interglacial rearrangements 7 over the past ∼ 2.5 million years. Given that the ocean is the largest carbon 8 reservoir, such circulation changes were likely key in driving the variations 9 in atmospheric CO 2 concentrations observed in the ice-core record. However, 10 we still lack a mechanistic understanding of the ocean’s role in regulating 11 CO 2 on these time scales. Here we show that glacial ocean-sea-ice numeri- 12 cal simulations with a single-basin general circulation model, forced solely by 13 atmospheric cooling, can predict ocean circulation patterns associated with 14 increased atmospheric carbon sequestration in the deep ocean. Under such 15 conditions, Antarctic Bottom Water becomes more isolated from the sea sur- 16 face as a result of two connected factors: reduced air-sea gas exchange under 17
Notice of Retraction: Final Resolution

In October 2003, I issued a Notice of Retraction (1) for an article by Eric Poehlman (2). I was acting on a letter from the provost of the University of Vermont describing the outcome of the university’s investigation of allegations of fraudulent conduct of research. This investigation found that Dr. Poehlman had published fabricated data in Annals of Internal Medicine and 2 other journals. At the time, Dr. Poehlman claimed that he had not published fabricated data, but I felt that the University of Vermont findings were enough to warrant retraction. Subsequently, the Office of Research Integrity of the National Institutes of Health conducted an investigation that corroborated the earlier investigation and found that Dr. Poehlman had also included fabricated data in several federal grant proposals. As part of a negotiated settlement of criminal charges related to the fraudulent grant proposals, Dr. Poehlman wrote a letter in which he stated that he had fabricated the data in his 1995 Annals article. His letter, which appears here, shows beyond any possible doubt that the findings in the Annals article are deceptive and false.
The Response of Pseudomonas aeruginosa PAO1 Efflux Pump-Defective Mutants to N -Octanoyl- L -Homoserine Lactone

N -Octanoyl- L -homoserine lactone (C8-HSL) is an acyl-homoserine-lactone signal utilized in the quorum-sensing (QS) systems of Burkholderia cenocepacia and other bacterial species. Although also produced by Pseudomonas aeruginosa , its role in this species has not been elucidated. Here, we report that C8-HSL modulated antibiotic resistance and pyocyanin production in a P. aeruginosa efflux pump-deficient mutant. The rhl/las quorum-sensing system and qscR gene were both shown to be nonessential in the C8-HSL-induced changes in ofloxacin resistance, suggesting that P. aeruginosa possesses a distinct pathway to respond to C8-HSL.
A Closed-Loop System for Improving Annotation Quality and Efﬁciency

We present a general system and approach to improve the quality and efﬁciency 1 of interactive annotation. A speciﬁc use case based on instance segmentation 2 of vehicles for autonomous driving is used as an illustration. Via incremental 3 AB testing and a custom analytics pipeline, we show how to optimize human-4 ML interaction to systematically improve annotation efﬁciency, and address the 5 shortcomings of ML models. 6
Dark stereo

It is often desirable or unavoidable to display Virtual Reality (VR) or stereoscopic content at low brightness. For example, a dimmer display reduces the flicker artefacts that are introduced by low-persistence VR headsets. It also saves power, prolongs battery life, and reduces the cost of a display or projection system. Additionally, stereo movies are usually displayed at relatively low luminance due to polarization filters or other optical elements necessary to separate two views. However, the binocular depth cues become less reliable at low luminance. In this paper, we propose a model of stereo constancy that predicts the precision of binocular depth cues for a given contrast and luminance. We use the model to design a novel contrast enhancement algorithm that compensates for the deteriorated depth perception to deliver good-quality stereoscopic images even for displays of very low brightness.
More Than Strength from Within: Cultivating Teacher Resilience During COVID-19

Significant added stressors during the COVID-19 pandemic are likely to compound and exacerbate historic concerns about burnout and turnover within the teaching profession. This study used a convergent mixed methods design to investigate experiences of teacher well-being in the beginning months of the COVID-19 pandemic. Specifically, quantitative surveys investigated relationships among stress, school connectedness, and teacher efficacy among 146 teachers. Interviews with 16 teachers explored their qualitative perceptions of well-being, how they personally navigated the challenges of teaching remotely, and what their school and/or districts did to support teacher well-being. Interviewed teachers could be classified as growing, coping, or discouraged. Findings suggest that both individual and environmental factors contributed to a sense of well-being among growing and coping teachers.
Solving the Elastic Net and Lasso Regression Problems

In these notes we investigate methods for solving the elastic net regression problem. The lasso regression problem is the special case of the elastic net regression problem where only the `-norm of the weight vector is penalized. The elastic net regression problem has a unique minimal solution. This solution can be found directly from the primal program using ADMM, using a simple extension of the method used to solve lasso. For all of these problems we seek a minimal solution (w, b) where w is the weight vector and b is the intercept (we deal with the intercept directly, rather than by “centering” of the data). Using the trick where we replace the `-norm ‖w‖1 of the weight vector w occurring in the objective function by the sum 1n of the components of a vector and adding the inequalites w − ≤ 0 and −w − ≤ 0, which are equivalent to |wi| ≤ i for i = 1, . , n, we avoid having to use subgradients and we obtain an explicit form of the dual program in terms of the Lagrange multipliers associated with the above inequalities. This dual program can be solved using ADMM, and also yields the solution of the primal. This is because the matrix occurring in the quadratic part of the objective function is symmetric positive definite. However, in the special case of lasso, this matrix is singular if the data matrix X does not have full rank. In this case, it is not possible to find an explicit formula for the dual function in terms of the Lagrange multipliers (associated with the inequalities w − ≤ 0 and −w − ≤ 0). We elucidate the relationship between the Lagrange multipliers and the subgradients of the `-norm function occurring as a penalty term in lasso. We investigate the uniqueness of the solutions of lasso. We find sufficient conditions involving a notion of affine independence weaker than the standard notion of affine independence. We also characterize the space of minimal solutions. It is a polytope arising as the intersection of various hyperplanes related to the kernel of the matrix [X 1m] with a simplex contained in a special hyperplane.
THE STATE OF THE CARDIOVASCULAR SYSTEM IN CHILDREN WITH GASTROINTESTINAL DISORDERS

A rapid increase in development of preventive medicine based on measures taken to avoid occurrence of diseases or to diagnose and treat existent diseases at early stages has been observed recently. Numerous risk factors for cardiovascular diseases (CVD) are divided into modified and unmodified ones [1]. Modified risk factors include such factors as smoking, dyslipidemia (increased LDL, triglycerides, reduced HDL), high blood pressure, diabetes, obesity, dietary factors, low level of physical activity, alcohol abuse. Unmodified risk factors are personal life history and family history [2]. Generally accepted criteria used to identify the severity of CVD risk implicate the so-called new lipid and nonlipid factors. New lipid risk factors comprise elevated triglycerides, lipoprotein remnants, small particles of LDL, HDL subtypes, apolipoproteins B and A-I, cholesterol LDL/cholesterol HDL ratio [3].
Effects on apoB-100 secretion and bile acid synthesis by redirecting cholesterol efﬂux from HepG2 cells

This study determined the effects of apoA-I, HDL3, or hydroxy- (cid:2) -cyclodextrin on apoB-100 secretion and bile acid synthesis by HepG2 cells. The principal observations were that: 1 ) ApoB-100 secretion into the medium was signiﬁcantly less after the addition of any of the three agents. 2 ) Triglyceride mass was not signiﬁcantly changed from control in the medium but was signiﬁcantly, although modestly, reduced in the cells. 3 ) Neither free cholesterol (FC) nor cholesteryl ester (CE) mass in the medium was changed; by contrast, CE mass was reduced within the cells although FC was not. 4 ) Although the total mass of cholesterol in the medium was unaffected, the proportion associated with apoB-100 was reduced, whereas the proportion associated with the non-apoB-100 fraction was increased. 5 ) There was also an unanticipated, but substantial, increase in bile acid synthesis induced by apoA-I, HDL3, or hydroxy- (cid:2) -cyclodextrin, which was time and concentration dependent, and which was associated with marked increases in cholesterol 7 (cid:3) -hydroxylase activity. There were no signiﬁcant changes in ACAT activity and only modest increases in HMG-CoA reductase activity. These ﬁndings support previous clinical observations that an elevated apoB-100 can ac-company a low HDL cholesterol in normotriglyceridemic subjects. They also point to physiologically important,
A Social Approach for the Assessment of Transition Farms: Taking Steps toward Whole-System Organic Certification in Mexico

Abstract This paper integrates a methodology for an assessment previous to organic certification of transition farms. The methodology was designed and applied to a farm in the municipality of Villaflores, Chiapas. Research consisted of grouping certification standards from different certification agencies into an integrated methodology for evaluating the farm prior to it being submitted to the certification process. The norms proposed by the International Federation of Organic Agriculture Movements and the Mexican certifier of ecological products were utilized—both of these accredited by the German certification program—as well as the Japanese Ministry of Agriculture’s principles of organic agriculture. The methodology was based on a systemic approach and applied using agricultural anthropology. Field research was conducted from January-May 2012, through interviews, field observations and triangulation of information. Results indicated that within the agricultural sub-system of the farm, 77% of indicators meet the norms of organic certification and within the animal subsystem only 74%. This study permits the pre-assessment of farms and the progress quantification toward organic certification. Given the cost of taking on the certification process, this pre-assessment represents an important tool to help small farmers develop their capacity to identify farm components and interactions, keep records on all farm activities and plan organic transitions.
A Dataset and Explorer for 3D Signed Distance Functions

Reference datasets are a key tool in the creation of new algorithms. They allow us to compare different existing solutions and identify problems and weaknesses during the development of new algorithms. The signed distance function (SDF) is enjoying a renewed focus of research activity in computer graphics, but until now there has been no standard reference dataset of such functions. We present a database of 63 curated, optimized, and regularized functions of varying complexity. Our functions are provided as analytic expressions that can be efﬁciently evaluated on a GPU at any point in space. We also present a viewing and inspection tool and software for producing SDF samples appropriate for both traditional graphics and training neural networks.
Taxonomic trees of fluidic oscillators

Fluidic no-moving-part oscillators generating pulsation in fluid flow became recently a very popular subject of investigations. The reason is their capability to increase efficiency of various chemical and physico/chemical processes. Also control of flows past bodies is more effective with the pulsation. Advantages of fluidic oscillators used for the task are low cost, robustness, long life, no maintenance, and other similar factors associated with absence of mechanical components. New oscillator principles - as well as old, nearly forgotten and now re-discovered - are currently developed. Sheer number of possible alternatives makes them difficult to survey. This paper attempts at clarifying the situation.
A SIW‐DGS wideband bandpass filter with a sharp roll‐off at upper stopband

In this article, a wideband bandpass filter is proposed, which combines substrate integrated waveguide (SIW) with four improved dumbbell defected ground structure (DGS) cells. The novel DGS, as a resonator on the metal ground, can produce two transmission zeros, aiming to improve the frequency selectivity and extend the upper stopband. The roll‐off at the upper side is extremely sharper (about 58 dB/GHz). Therefore, the filter shows advantages in terms of the compact size, stopband rejection, good bandpass, and high frequency selectivity. The filter was fabricated and measured. The measured 3 dB bandwidth is from 6.85 to 11.11 GHz, representing a fractional bandwidth of 47.4% at a center frequency of 8.98 GHz. Within the passband, the insertion loss is 1.5 dB and the return loss is better than 18 dB, including the loss from two SMA connectors. The measured results and simulation results are in good agreements. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:789–792, 2017
Experience of various materials for design and manufacture of bellows for nuclear industry

Bellows find wide applications in reactor systems such as in bellows sealed valves as primary leak tight barriers and in piping systems to absorb differential thermal expansions. Reliable operation of bellows is strongly dependent of proper material selection. Various candidates for material of the bellows are austenitic stainless steels (such as SS316, SS304, SS316Ti, SS304L etc.), precipitation hardened stainless steels (such as AM350) and Nickel base alloys such as Inconel-718 and Inconel-625. This paper presents the review of the operating experience, mechanical & neutronic properties of various materials for bellows in nuclear industry. In this work, it is observed that Inconel alloys have superior mechanical properties than austenitic stainless steels but exhibit neutron embrittlement. Hence, use of Inconel bellows is limited to low neutron fluence applications. Precipitation hardened steels such as AM350 have high mechanical strength but lesser ductility. Though AM350 is not suitable for formed bellows, it has excellent operating experience for welded disc bellows in nuclear applications. Austenitic stainless steels have large operating experience. Variants of SS316 are used for high temperature and variants of SS304 are used for temperatures below creep range. ‘L’ grades or stabilized grades are used for resistance to sensitization during welding. Based on the present review work, guidelines for selection of material for bellows are drawn, satisfying the selection criterion. Copyright © 2017 VBRI Press. Material of construction of bellows, austenitic stainless steels, Inconel 718, Inconel 625, AM350.
On the Convention Bureau's Evaluation of its Regional Characteristics and Convention Facilities

Convention industry produces great economic impact because, when a conference held, delegates stay longer than pleasure travelers with other purposes. Many different stakeholders are involved in convention industry as it is an essential factor in promoting inbound tourism in Japan. This study focuses on the evaluation of convention bureau, taking into account its regional characteristics and convention facilities. The questionnaire survey was conducted at the 24th international Meetings Expo (IME 2014) held on December 9-10, 2014, at the Tokyo International Forum, Japan. Researchers distributed questionnaires directly to the convention bureaus during the IME 2014. The respondents' evaluation about their region and convention center was measured and also, the binary logistic regression was adopted to clarify how the duration of service affect their evaluation. This model is utilized in the case of a situation where mainly two possible results are expected. The results showed that there were some significant difference in duration of service.
DEEP CONVOLUTION NEURAL NETWORKS WITH RESNET ARCHITECTURE FOR SPECTRAL-SPATIAL CLASSIFICATION OF DRONE BORNE AND GROUND BASED HIGH RESOLUTION HYPERSPECTRAL IMAGERY

Abstract. Drones have been of vital importance in the fields of surveillance, mapping, and infrastructure inspection. Drones have played a vital role in acquiring high-resolution images and with the present need for precision farming, drones have helped in crop classification and monitoring various crop patterns. With the recent advancement in computational power and development of robust algorithms to carry out deep feature learning and neural network, based learning such techniques have regained prominence in contemporary research areas such as classification of common 2-D and 3-D images, object detection, etc. In our research, we propose a deep convolutional neural network architecture (CNN) for the classification of aerial images captured by drones and high-resolution Terrestrial Hyperspectral (THS or HSI) which includes 6-layers and with weights optimized along with the input layer, the convolutional layer, the max-pooling layer, the fully connected layer, softmax probability classifier, and the output layer. We have acquired THS (using Cubert-GmbH data) and drone agricultural data of seasonal crops sowed during the months of March-June for the year 2017. Crop patterns include Cabbage, Eggplant, and Tomato with varying nitrogen concentrations in the region of Bangalore, Southern India. To study the influence and impact of CNN, the ResNets model has been applied. ResNets model and architecture are combined with a deep learning network followed by a recurrent neural learning network model (RCNN). The HSI input layer with corresponding ground truth data for the region is fed into the ResNets model with a spectral and spatial residual network for the 7*7*139 input Hyperspectral Imagery (HSI) volume. The network includes two spectral and two spatial residual blocks. An average pooling layer and a fully connected layer transform into a 5*5*24 spectral-spatial feature volume further to a single output feature vector. At present we use an RMSProp optimizer for error loss minimization which when applied to the drone data was able to achieve an overall accuracy of 97.16%. Similarly, for cabbage, eggplant and tomato acquired through the same method we achieved overall accuracy at 87.619%, 89.25%, and 80.566% respectively in comparison to ground truth labels. Drones and ground-based datasets equipped with good computational techniques have become promising tools for improving the quality and efficiency of precision agriculture today.