Miracle-dz/UniFAR-FTUs huggingface dataset:
An exploration of obstacles to identity play during unemployment

PurposeThis study seeks to explore the key themes in identity play during unemployment and the potential obstacles faced by unemployed individuals.Design/methodology/approachThis qualitative study is based on 23 interviews with unemployed individuals in Germany.FindingsThe authors identify three obstacles to identity play during unemployment: a lack of psychological safety to explore possible selves, a lack of opportunity to try out possible selves and a lack of social validation for possible selves. Several interviewees highlight the impact of social context, creating an absence of institutional support and a limited identity “playspace. ” As such, the authors illustrate that when faced with these obstacles, the unemployed individuals of this study predominantly focus on identity work instead of identity play. Only a few interviewees seem to engage in and sustain identity play. The authors propose that the elaborate nature of their possible selves and their focus on future opportunities may overshadow the present self and immediate obstacles.Originality/valueThe authors argue that identity play is not readily available to all individuals in all situations. Instead, they suggest that some psychologically and socially threatening contexts such as unemployment are characterized by obstacles that constrain individuals' identity play and prevent the adoption of new work identities. Hence, the authors call for a more balanced and localized understanding of identity play.
PROBIOTICS AND PREBIOTICS IN THE PREVENTION OF GASTROINTESTINAL ADVERSE REACTIONS RELATED TO DIABETES MELLITUS

It is of greatest significance today the extent of how chronic metabolic diseases are connected to the heterogeneity of bacterial dysbiosis. Type 2 Diabetes Mellitus (T2DM) is a major health problem and its prevalence has been considerable over the last years, with approximately 463 million adults suffering from diabetes in 2019, according to the International Diabetes Federation (IDF). Predictions in the 9 edition of the IDF Diabetes Atlas estimate an increased number of 578 million for the next decade. Concern that dysbiosis affects carbohydrate metabolism has emphasized the need to study the relationship between altered flora in the gastrointestinal tract and T2DM. Based on the evidence reviewed, the mechanism has been increasingly attractive and permitted to take into consideration new therapeutical options, such as probiotics and prebiotics in the prevention of gastrointestinal adverse reactions related to diabetes. Therefore, the aim of this article is to assert the association between the pathogenesis of T2DM, its treatment and the promising beneficial role of probiotics and prebiotics in the management of this disease.
The stakeholders' perspective on the factors contributing to construction disputes

PurposeWhile a considerable amount of research has been conducted on construction disputes, disputes remain prevalent in the construction industry and have still been a crucial problem in the Turkish construction industry as well. The purpose of this paper is to explore the perceptions of different stakeholders on key factors that contribute to construction disputes by adopting a qualitative approach.Design/methodology/approachThe qualitative approach adopted for the study provided gathering in-depth and rich information about the topic. To explore the phenomenon in-depth information, semi-structured interviews were conducted. A total of 38 interviews were conducted among experts and practitioners who engaged in construction disputes.FindingsContent analysis of interview data resulted in the emergence of varying categories relevant to the problems which result in construction disputes. By grouping related themes into main categories, the analysis yielded five major ones: clarity of the contract form, errors in contract documents, payments, changes, delays and not granting extension of time.Research limitations/implicationsThe major limitations are having interviewees from one country and results limited to the Turkish construction industry.Practical implicationsThe findings provide insight on the factors contributing to construction disputes as perceived by different stakeholders, which should provide guidance to determine the associated risks for dispute occurrence, make effort to mitigate disputes once they happen, take proper precautions for minimizing the effects and after all make a significant contribution in the successful accomplishment of completed construction projects.Originality/valueThe findings of the study contribute to a deeper understanding of the factors contributing to construction disputes through a qualitative approach which is limited in the related literature. Although the qualitative exploration only focuses on the Turkish construction industry, the study has added significantly to the body of knowledge within the subject area.
In Vivo Antifungal Effects of Coptis japonica Root-Derived Isoquinoline Alkaloids Against Phytopathogenic Fungi

【The fungicidal activities of Coptis japonica (Makino) extracts and their active principles were determined against Botrytis cineria, Erysiphe graminis, Phytophthora infestans, Puccinia recondita, Pyricularia grisea, and Rhizoctonia solani using a whole plant method in vivo, and compared with natural fungicides. The responses varied according to the plant pathogen tested. At 2,000 mg/l, the chloroform and butanol fractions obtained from methanolic extracts of C. japonica exhibited strong/moderate fungicidal activities against B. cinerea, E. graminis, P. recondita, and Py. grisea. Two active constituents from the chloroform fractions and one active constituent from the butanol fractions were characterized as isoquinoline alkaloids, berberine chloride, palmatine iodide, and coptisine chloride, respectively, using spectral analysis. Berberine chloride had an apparent $LC_{50}$ value of approximately 190, 80, and 50 mg/l against B. cinerea, E. graminis, and P. recondita, respectively; coptisine chloride had an $LC_{50}$ value of 210,20, 180, and 290 mg/l against B. cinerea, E. graminis, P. recondita, and Py. grisea, respectively; and palmatine iodide had an $LC_{50}$ value of 160 mg/l against Py. grisea. The isoquinoline alkaloids were also found to be more potent than the natural fungicides, curcumin and emodin. Therefore, these compounds isolated from C. japonica may be useful leads for the development of new types of natural fungicides for controlling B. cinerea, E. graminis, P. recondita, and Py. grisea in crops. 】
Knowledge of Infant Development and Parent Well-Being: Cross-Sectional Analysis of Toddlers

This article has supplementary material on the web site: www.jdbp. org. ABSTRACT: Objective: Knowledge about child development is associated with parenting and children's outcomes. Parents with less accurate knowledge about developmental milestones may have unrealistic expectations for their child's behavior, which may affect parent well-being. Limited research has examined this topic relative to depression, but other aspects of parent well-being (e.g., parenting stress) are unexplored. Methods: Cross-sectional analysis of an ongoing prospective cohort study of 300 families in central Ohio enrolled when children were a mean (SD) calendar age of 18.2 (0.7) months. Children of all gestational ages at birth are included, and 37% were born preterm (<37 weeks' gestation.) Primary caregivers (93% mothers) completed the 20-item Knowledge of Infant Development Index (KIDI) and questionnaires for child temperament and 3 aspects of parent well-being (depressive and anxious symptoms, parenting stress, and general health). Covariate-adjusted regression models assessed relationships between the KIDI score and each well-being outcome. We hypothesized that parents with less knowledge would have more symptoms of depression and anxiety, greater parenting stress, and poorer health. Whether associations were stronger for parents of children born preterm or who had high negative affect was explored. Results: Knowledge of Infant Development Index scores were associated with sociodemographic characteristics, child temperament, and gestational age (more knowledge: higher socioeconomic position, less child negative affect, and full-term birth). KIDI scores did not predict any aspect of parent well-being, and there was no evidence that child temperament or preterm birth altered these findings. Conclusion: In this sample of parents of toddlers assessed in 2018/19, greater knowledge of infant development was not associated with parent well-being.
Pemanfaatan Computer Assisted Test sebagai alternatif Ujian Akhir Perkuliahan di era Pandemi

Di-era pandemi covid-19 berefek ke dunia pendidikan yang di mana semua dilakukan secara online salah satunya pelaksanaan ujian akhir perkuliahan. Mahasiswa harus bisa terbiasa di mana yang sebelumnya dilakukan secara manual (luring), sekarang harus dilakukan secara online (daring). Perancangan aplikasi ujian online berbasiskan web harus mengedepankan kebiasaan pengguna, sehingga mudah beradaptasi dan mudah untuk digunakan. Pengukuran dilakukan dengan menggunakan kuisioner UEQ, sehingga memiliki hasil bahwa CAT bisa digunakan sebagai alternatif aplikasi ujian online untuk ujian akhir perkuliahan di era Pandemi karena memiliki aspek yang sangat baik untuk pengguna berdasarkan hasil kuisioner.
Applying Automatic Translation for Optical Music Recognition’s Encoding Step

Optical music recognition is a research field whose efforts have been mainly focused, due to the difficulties involved in its processes, on document and image recognition. However, there is a final step after the recognition phase that has not been properly addressed or discussed, and which is relevant to obtaining a standard digital score from the recognition process: the step of encoding data into a standard file format. In this paper, we address this task by proposing and evaluating the feasibility of using machine translation techniques, using statistical approaches and neural systems, to automatically convert the results of graphical encoding recognition into a standard semantic format, which can be exported as a digital score. We also discuss the implications, challenges and details to be taken into account when applying machine translation techniques to music languages, which are very different from natural human languages. This needs to be addressed prior to performing experiments and has not been reported in previous works. We also describe and detail experimental results, and conclude that applying machine translation techniques is a suitable solution for this task, as they have proven to obtain robust results.
Development and Application of a Wide Dynamic Range and High Resolution Atmospheric Aerosol Water-Based Supersaturation Condensation Growth Measurement System

The supersaturated condensation of atmospheric aerosol is important in the study of mechanisms of cloud condensation and even heavy air pollution. The existing technology cannot realize accurate dynamic control of wide range supersaturation, so it is difficult to study condensation growth characteristics of nanoparticles through different levels of supersaturation. Here, a supersaturated condensation growth measurement system with three-stage microscope pipes was developed. The resolution of supersaturated condensation system is 0.14, within the range of 0.92 to 2.33 after calibration. Stabilization time is only about 80 s for saturation range 0.92–1.01, which helps to control saturation rapidly, and the control deviation of saturation is no more than 0.06. Measurement of different supersaturated condensation growth control conditions showed that, the particle size increased significantly compared with hygroscopic growth at high humidity. For single-component particles, the increase in size increased to a similar size at the same saturation, with a difference within 7.4%. The increase in size for ammonium sulfate (AS) increased by 13.4–30.2% relative to that of glucose. For the mixed-component, the increase in size decreased about 15.9–25.0% with the increase of the glucose. Because the glucose coating on the surface of AS have hindered particle growth. This also shows that atmospheric ultrafine particles, especially inorganic salt particles, will rapidly grow into larger particles under supersaturated conditions such as increased environmental humidity, thus having some impact on environmental pollution and climate change.
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing

The operation and management of intelligent transportation systems (ITS), such as traffic monitoring, relies on real-time data aggregation of vehicular traffic information, including vehicular types (e.g., cars, trucks, and buses), in the critical roads and highways. While traditional approaches based on vehicular-embedded GPS sensors or camera networks would either invade drivers’ privacy or require high deployment cost, this article introduces a low-cost method, namely, SenseMag, to recognize the vehicular type using a pair of noninvasive magnetic sensors deployed on the straight road section. SenseMag filters out noises and segments received magnetic signals by the exact time points that the vehicle arrives or departs from every sensor node. Furthermore, SenseMag adopts a hierarchical recognition model to first estimate the speed/velocity, then identify the length of the vehicle using the predicted speed, sampling cycles, and the distance between the sensor nodes. With the vehicle length identified and the temporal/spectral features extracted from the magnetic signals, SenseMag classifies the types of vehicles accordingly. Some semiautomated learning techniques have been adopted for the design of filters, features, and the choice of hyperparameters. Extensive experiment based on real-word field deployment (on the highways in Shenzhen, China) shows that SenseMag significantly outperforms the existing methods in both classification accuracy and the granularity of vehicle types (i.e., seven types by SenseMag versus four types by the existing work in comparisons). To be specific, our field experiment results validate that SenseMag is with at least 90% vehicle type classification accuracy and less than 5% vehicle length classification error.
Clinical Analysis of Gut Barrier Dysfunction in Patients with Advanced Colorectal Cancer Undergoing Cytoreductive Surgery and HIPEC

Introduction: Hyperthermic intraperitoneal chemotherapy combinedwith cytoreductive surgery is a preferred treatment option for advanced colorectal cancer patients. However, little is known whether the HIPEC can cause the damage of gut barrier function.Methods: A total of 123 patients underwent surgical resection for advanced CRC. Sixty-five patients were treated HIPEC after cytoreductive surgery whereas 58 patients underwent surgery only. Gut barrier function were evaluated using the expression of serum DAO/D-la/ET on D1/D5/D10 after surgery. Both groups were compared for patient characteristics, perioperative data and gut barrier function. Moreover, rats received intraperitoneal injection of retetrexed to observe possible changes of colonic structure under optical microscope.Results: Both groups were comparable with respect to general patient characteristics and post-operative complications. The HIPEC+CRS group was associated with a higher postoperative serum level of DAO/D-la on D1/D5 (p < 0.05) and ET on D5 after surgery (p < 0.05) than that of the surgery only group. Ten days after surgery showed no statistical difference between the 2 groups (p > 0.05). A large area structure disorder, epithelial necrosis, glandular deformation and a large number of lymphocytes infiltration was found in the lamina propria in animals received intraperitoneal injection of retetrexed.Conclusion: In this study, CRS combined with HIPEC does have but only an irreversible impact on gut barrier for advanced CRC patients.
Reaction Kinetics of Ozonation of Trichloroethylene and Benzene in Gas and Liquid Phases

The kinetics of ozonation reactions of trichloroethylene (TCE) and benzene in gas and liquid phases at 101.3 kPa and 298 K was investigated in this paper. The ozonation of TCE is first order with respect to the ozone concentration and one and half order to TCE in the gas phase with the average rate constant 57.30 (mol·L-1)-1.5·s-1, and the TCE ozonation in aqueous medium is first order with respect to both ozone and trichloroethylene with the average rate constant 6.30 (mol·L-1)-1·-1. The ozonation of benzene in the gas phase is first order in ozone but independent of the benzene concentration with the average reaction rate constant 0.0011s-1. The overall kinetics of reaction between ozone and benzene in aqueous solution is found to be first order with one-half order in both ozone and bezene, with the average reaction rate constant 2.67s-1. It is found that the ozonation rate of pallutants is much quicker than that of self-decomposition of ozone in both gas and aqueous phase.
Detection of Disease and Pest of Kenaf Plant using Convolutional Neural Network

Kenaf fiber is mainly used for forest wood substitute industrial products. Thus, the kenaf fiber can be promoted as the main composition of environmentally friendly goods. Unfortunately, there are several Kenaf gardens that have been stricken with the disease-causing a lack of yield. By utilizing advances in technology, it was felt to be able to help kenaf farmers quickly and accurately detect which pests or diseases attacked their crops. This paper will discuss the application of the machine learning method which is a Convolutional Neural Network (CNN) that can provide results for inputting leaf images into the results of temporary diagnoses. The data used are 838 image data for 4 classes. The average results prove that with CNN an accuracy value of 73% can be achieved for the detection of diseases and plant pests in Kenaf plants.
Social policy responsiveness in multilevel contexts: How vertical diffusion of competences affects the opinion‐policy link

Funding information Bergens Forskningsstiftelse, Grant/Award Number: 811309 Abstract Do multilevel structures of governance affect representation? This study examines how regionalization and globalization are related to social policy responsiveness. It has been argued that the interests of nonpopular actors, such as international organizations or private corporations, have gained importance in determining public policies. Moreover, national governments have delegated decision-making capabilities down to subnational authorities. These developments might constrain governments in their policymaking, leading them to be less responsive to their citizens' preferences. I investigate whether the relation between public opinion and welfare state effort is affected by globalization and decentralization. To examine these relations and possible explanations, I analyze data from the European Social Survey (2002–2012) and from Eurostat using a time-series cross-sectional approach. Consistent with the expectations set out in this study, I find that decentralization facilitates, while globalization hinders, the responsiveness of welfare spending to public preferences. Received: 11 April 2019 Revised: 1 November 2019 Accepted: 21 December 2019
The case for tracking misinformation the way we track disease

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. Public health researchers supervise this process daily, and provide insights to practitioners across a range of disciplines. Through this work, we have gleaned three lessons to address misinformation. (1) Sources of vaccine misinformation are known; there is a need to operationalize learnings and engage the pro-vaccination majority in debunking vaccine-related misinformation. (2) Existing systems can identify and track threats against health experts and institutions, which have been subject to unprecedented harassment. This supports their safety and helps prevent the further erosion of trust in public institutions. (3) Responses to misinformation should draw from cross-sector crisis management best practices and address coordination gaps. Real-time monitoring and addressing misinformation should be a core function of public health, and public health should be a core use case for data scientists developing monitoring tools. The tools to accomplish these tasks are available; it remains up to us to prioritize them.
Enhancing Wake-Up Receivers Reliability through Preamble Filtering and Minimum Energy Coding

Wake-up Receivers (WuRs) represent one of the most promising solutions for allowing an ultra low power consumption in wireless sensor networks. However, WuRs have several limitations such as low sensitivity, inducing a miss-interpret of the wake-up signal, and thus a performance degradation of the whole system. This work introduces two complementary schemes, namely minimum energy coding and preamble filtering, in order to enhance the WuR reliability while being energy efficient. It is shown through experimental measurements an enhancement on the reliability up to 22% and a total energy saving of 42% while applying minimum energy coding. Moreover, a significant reduction of the false wake-up is realized through preamble filtering.
Identifying rename refactoring opportunities based on feature requests

Refactoring is a widespread practice of improving the quality of software systems by applying changes on their internal structures without affecting their observable behaviors. Rename is one of the most recurring and widely used refactoring operation. A rename refactoring is often required when a software entity was poorly named in the beginning or its semantics have changed and therefore should be renamed to reflect its new semantics. However, identifying renaming opportunities is often challenging as it involves several aspects including source code semantics, natural language understanding and developer's experience. To this end, we propose a new approach to identify rename refactoring opportunities by leveraging feature requests. The rationale is that, when implementing a feature request there are chances that the semantics of software entities could significantly change to fulfill the requested feature. Consequently, their names should be modified as well to portray their latest semantics. The approach employs textual similarity to assess the similarity between a feature request description and identifiers. The approach has been validated on the dataset of 15 open source Java applications by comparing the recommended renaming opportunities against those recovered from the refactoring history of the involved subject applications. The evaluation results suggest that, the proposed approach can identify renaming opportunities on up to precision and recall.