Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced melatonin onset relative to sleep in women with unmedicated major depressive disorder

ABSTRACT Studies on circadian timing in depression have produced variable results, with some investigations suggesting phase advances and others phase delays. This variability may be attributable to differences in participant diagnosis, medication use, and methodology between studies. This study examined circadian timing in a sample of unmedicated women with and without unipolar major depressive disorder. Participants were aged 18–28 years, had no comorbid medical conditions, and were not taking medications. Eight women were experiencing a major depressive episode, nine had previously experienced an episode, and 31 were control participants with no history of mental illness. Following at least one week of actigraphic sleep monitoring, timing of salivary dim light melatonin onset (DLMO) was assessed in light of <1 lux. In currently depressed participants, melatonin onset occurred significantly earlier relative to sleep than in controls, with a large effect size. Earlier melatonin onset relative to sleep was also correlated with poorer mood for all participants. Our results indicate that during a unipolar major depressive episode, endogenous circadian phase is advanced relative to sleep time. This is consistent with the early-morning awakenings often seen in depression. Circadian misalignment may represent a precipitating or perpetuating factor that could be targeted for personalized treatment of major depression.
Change Management in Information Systems Projects for Public Organizations in Poland

It can be argued that public organizations, in order to provide the public with sufficient services in the current, highly competitive and continuously evolving environment, require changes. The changes that become necessary are often related to the implementation of information systems (IS). Moreover, when organizations are faced with changes, a change management (CM) process needs to be put in place. CM theories that are currently available to practitioners and academics are often contradictory; they mostly lack empirical evidence and are supported by unchallenged hypotheses concerning the nature of the contemporary CM. The aim of this paper is, therefore, to identify critical success factors (CFSs) for CM in IS projects. In order to reach this aim an explanation of changes in public organizations and the nature of CM are presented. Following this, a framework of CFSs for CM in IS projects are identified based on the literature review. The paper also examines two IS projects and uses them to demonstrate CFSs influencing CM in IS projects in Polish pubic organizations. A discussion of the research findings is provided and the paper concludes with a presentation of the study’s contributions and limitations as well as the stream of future work.
Research and Development of Zincoborates: Crystal Growth, Structural Chemistry and Physicochemical Properties

Borates have been regarded as a rich source of functional materials due to their diverse structures and wide applications. Therein, zincobrates have aroused intensive interest owing to the effective structural and functional regulation effects of the strong-bonded zinc cations. In recent decades, numerous zincoborates with special crystal structures were obtained, such as Cs3Zn6B9O21 and AZn2BO3X2 (A = Na, K, Rb, NH4; X = Cl, Br) series with KBe2BO3F2-type layered structures were designed via substituting Be with Zn atoms, providing a feasible strategy to design promising non-linear optical materials; KZnB3O6 and Ba4Na2Zn4(B3O6)2(B12O24) with novel edge-sharing [BO4]5− tetrahedra were obtained under atmospheric pressure conditions, indicating that extreme conditions such as high pressure are not essential to obtain edge-sharing [BO4]5−-containing borates; Ba4K2Zn5(B3O6)3(B9O19) and Ba2KZn3(B3O6)(B6O13) comprise two kinds of isolated polyborate anionic groups in one borate structure, which is rarely found in borates. Besides, many zincoborates emerged with particular physicochemical properties; for instance, Bi2ZnOB2O6 and BaZnBO3F are promising non-linear optical (NLO) materials; Zn4B6O13 and KZnB3O6 possess anomalous thermal expansion properties, etc. In this review, the synthesis, crystal structure features and properties of representative zincoborates are summarized, which could provide significant guidance for the exploration and design of new zincoborates with special structures and excellent performance.
Differences between experienced and recalled breathlessness: a review.

PURPOSE OF REVIEW Experienced breathlessness and recalled breathlessness are two different entities, which may be associated with different factors and might have different impacts on function for the individual. The aim was to review the knowledge from the last 2 years concerning experienced breathlessness and recalled breathlessness and related factors. RECENT FINDINGS Experienced breathlessness was most often induced or measured during exercise testing in a lab environment using a modified Borg scale. It was associated with both psychological factors, such as social rejection, presence of others, psychosocial stress and prenatal exposure to stress, as well as physical factors, such as hypoxia and frequent exacerbations.Recalled breathlessness was most often measured in epidemiological studies, most commonly using the modified Medical Research Council scale. It was associated with lung volumes, overweight, exercise training, frailty, smoking, personality traits, behavior and marital and occupational status. SUMMARY No studies during the review period had directly compared experienced breathlessness and recalled breathlessness. Several factors were related to either experienced breathlessness or recalled breathlessness but no clear differences between factors were found in this review. There is a need for comparative studies using the same measurement methods and in the same settings in order to examine their relation.
The Medical Therapy of Craniopharyngiomas: The Way Ahead.

CONTEXT Craniopharyngiomas which are categorized as adamantinomatous (ACP) or papillary (PCP) have traditionally been treated with surgery and/or radiotherapy, although when the tumors progress or recur further therapeutic possibilities are very limited. Following recent advances in their molecular pathogenesis, new medical therapeutic options have emerged. EVIDENCE ACQUISITION The search strategy that we selected to identify the appropriate evidence involved the following mesh terms: ("Craniopharyngioma"[Mesh] AND "Craniopharyngioma/drug therapy"[Mesh] NOT ("review"[Publication Type] OR "review literature as topic"[MeSH Terms] OR "review"[All Fields]) AND ("2009/05/01"[PDat]: "2019/04/28"[PDat]). EVIDENCE SYNTHESIS Mutations of β-catenin causing Wnt activation with alterations of the MEK/ERK pathway are encountered in the great majority of patients with ACP; specific alterations also stratify patients to a more aggressive behavior. In most PCP there is primary activation of the Ras/Raf/MEK/ERK pathway secondary to BRAF-V600E mutations. BRAF inhibitors, such as dabrafenib or vemurafenib, either alone or in combination with the MEK inhibitors trametinib and cobimetinib, have been administered to patients with PCP producing clinically useful and, in some cases, sustained responses. In contrast to PCP, drugs targeting β-catenin and its downstream MAPK pathway in ACP have so far only been used in in vitro studies, but appear to be promising new targets clinically. CONCLUSIONS The identification of specific genetic alterations in patients with craniopharyngiomas has expanded the therapeutic options, providing evidence for a a customized approach using newer molecular agents. More studies including a larger number of carefully selected patients are required to evaluate the response to currently available and evolving agents alone and in combination.
Natural compounds as potential adjuvants to cancer therapy: Preclinical evidence

Traditional chemotherapy is being considered due to hindrances caused by systemic toxicity. Currently, the administration of multiple chemotherapeutic drugs with different biochemical/molecular targets, known as combination chemotherapy, has attained numerous benefits like efficacy enhancement and amelioration of adverse effects that has been broadly applied to various cancer types. Additionally, seeking natural‐based alternatives with less toxicity has become more important. Experimental evidence suggests that herbal extracts such as Solanum nigrum and Claviceps purpurea and isolated herbal compounds (e.g., curcumin, resveratrol, and matairesinol) combined with antitumoral drugs have the potential to attenuate resistance against cancer therapy and to exert chemoprotective actions. Plant products are not free of risks: Herb adverse effects, including herb–drug interactions, should be carefully considered.
Plasmodium Genomics and Genetics: New Insights into Malaria Pathogenesis, Drug Resistance, Epidemiology, and Evolution

Protozoan Plasmodium parasites are the causative agents of malaria, a deadly disease that continues to afflict hundreds of millions of people every year. Infections with malaria parasites can be asymptomatic, with mild or severe symptoms, or fatal, depending on many factors such as parasite virulence and host immune status. Malaria can be treated with various drugs, with artemisinin-based combination therapies (ACTs) being the first-line choice. SUMMARY Protozoan Plasmodium parasites are the causative agents of malaria, a deadly disease that continues to afflict hundreds of millions of people every year. Infections with malaria parasites can be asymptomatic, with mild or severe symptoms, or fatal, depending on many factors such as parasite virulence and host immune status. Malaria can be treated with various drugs, with artemisinin-based combination therapies (ACTs) being the first-line choice. Recent advances in genetics and genomics of malaria parasites have contributed greatly to our understanding of parasite population dynamics, transmission, drug responses, and pathogenesis. However, knowledge gaps in parasite biology and host-parasite interactions still remain. Parasites resistant to multiple antimalarial drugs have emerged, while advanced clinical trials have shown partial efficacy for one available vaccine. Here we discuss genetic and genomic studies of Plasmodium biology, host-parasite interactions, population structures, mosquito infectivity, antigenic variation, and targets for treatment and immunization. Knowledge from these studies will advance our understanding of malaria pathogenesis, epidemiology, and evolution and will support work to discover and develop new medicines and vaccines.
High Prevalence of Hepatitis E Virus Infection in Imported Cynomolgus Monkeys in Japan.

Cynomolgus monkey is an important experimental animal for hepatitis E virus (HEV) infection. In Japan, cynomolgus monkeys are imported mainly from Asian countries for use at animal facilities and institutions. However, the status of HEV infection in cynomolgus monkeys remains unclear. A total of 187 pairs of serum and fecal samples were collected from cynomolgus monkeys (Macaca fascicularis) imported from China and Cambodia to detect anti-HEV IgG and IgM antibodies as well as HEV RNA. Based on an enzyme-linked immunosorbent assay using HEV-like particles derived from genotype 3 HEV as the antigen, 184 of 187 (98.4%) and 102 of 187 (54.5%) samples were found to be positive for anti-HEV IgG and IgM antibodies, respectively. In contrast, all 45 serum samples collected from cynomolgus monkeys bred and grown at the Tsukuba Primate Research Center, Japan, were negative for both antibodies. However, real-time quantitative reverse transcription polymerase chain reaction detected no HEV RNA in any of the 187 serum and fecal samples. These results strongly indicated that HEV infection is common in imported cynomolgus monkeys. A source of HEV-free monkeys for HEV studies is urgently needed.
Rapid Communication: Cardiac and Skeletal Muscle Myosin Exert Procoagulant Effects.

INTRODUCTION Trauma-induced coagulopathy (TIC) and the tissue injury-provoked procoagulant profile are prevalent in severely injured patients, but their mechanisms remain unclear. Myosin, exposed by or released from tissue injury, may play a role in promoting thrombin generation and attenuating fibrinolysis. The objective of the study is to examine the effects of cardiac and skeletal muscle myosins on coagulation in whole blood using thrombelastography (TEG). MATERIALS AND METHODS Whole blood was collected from healthy adult volunteers (n=8) and native TEGs were performed to evaluate the global coagulation response in the presence of cardiac or skeletal muscle myosin by measuring reaction (R) time (minutes), clot angle (), and maximum amplitude (MA, mm). TEG measurements were compared using paired t-tests. RESULTS Cardiac and skeletal muscle myosins decreased R, from 10.8 min to 8.0 min (p<0.0001) and 6.9 min (p=0.0007), respectively. There were no effects observed on clot propagation (angle) or clot strength (MA) with myosin addition. In the presence of tPA, both cardiac and skeletal muscle myosins shortened R from 11.1 min to 8.62 min (p=0.0245) and 7.75 min (p=0.0027), respectively), with no changes on angle or MA. CONCLUSIONS Cardiac and skeletal muscle myosins exhibit procoagulant effects in TEG assays. These whole blood TEG results support the hypothesis that cardiac and skeletal muscle myosins may be either pro-hemostatic or prothrombotic depending on context.
Nanomaterials in Plants: A Review of Hazard and Applications in the Agri-Food Sector

Agricultural food crop plants interact with engineered nanomaterials (ENMs) from the application of agri-food nanotechnologies and from unintentional emissions originating from other nanotechnologies. Both types of exposure present implications for agricultural yield and quality, food chain transfer, and environmental and human health. In this review, the most recent findings from agricultural plant-ENM studies published in 2017 and 2018 are summarized. The aim of this is to identify the current hazard potential of ENMs for plants grown under typical field conditions that originate from both intentional and unintentional exposures and to contribute to knowledge-based decisions on the application of ENMs in food-agriculture. We also address recent knowledge on ENM adsorption, internalization, translocation, and bioaccumulation by plants, ENM impacts on agricultural crop yield and nutrition, and ENM biotransformation. Using adverse effect level concentrations and data on ENM accumulation in environmental matrices, the literature analyses revealed that C-, Ag-, Ce-, and Ti-based ENMs are unlikely to pose a risk to plants grown under typical field conditions, whereas Cu- and Zn-based ENMs require surveillance. Since multiple factors (e.g., ENM concentration, route of exposure, and plant type) influence the effects of ENMs on plants, biomonitoring is recommended for tracking ENM environmental exposure in the future.
A Novel Approach for Secure Data DEDuplication in Cloud Storage

Information deduplication is the strategy used to expel the rehashed duplicates of records in the cloud benefit which is utilized to decrease the volume of storage room and the limit. During the time spent deduplication for complex information for ensuring the protection of the information the joined encryption strategy is proposed for encryption of information before the outsourcing. Deduplication gives a considerable measure of advantages of security and protection. To better ensure the information security, in this makes the primary endeavor to authoritatively address the issues of the approved information deduplication and it is Different from the conventional deduplication frameworks, the differential benefits of clients are additionally measured in copy check too the information itself. We likewise exhibit a few new deduplication developments supporting the approved copy check in a half breed cloud engineering. we actualize an energy of proprietorship (POW) for ensured copy check plan and direct testbed tests utilizing our model. We demonstrate that our proposed approved copy check conspire brings about insignificant overhead contrasted with customary operations.
Cortical activation in generalized seizures

Patients with generalized epilepsy exhibit different epileptiform events including asymptomatic interictal spikes (IS), absence seizures with spike‐wave discharges (SWDs), and myoclonic seizures (MS). Our objective was to determine the spatiotemporal patterns of cortical activation in SWDs, IS, and MS in the Gabra1+/A322D juvenile myoclonic epilepsy mouse.
2D V‐V Binary Materials: Status and Challenges

2D phosphorene, arsenene, antimonene, and bismuthene, as a fast‐growing family of 2D monoelemental materials, have attracted enormous interest in the scientific community owing to their intriguing structures and extraordinary electronic properties. Tuning the monoelemental crystals into bielemental ones between group‐VA elements is able to preserve their advantages of unique structures, modulate their properties, and further expand their multifunctional applications. Herein, a review of the historical work is provided for both theoretical predictions and experimental advances of 2D V‐V binary materials. Their various intriguing electronic properties are discussed, including band structure, carrier mobility, Rashba effect, and topological state. An emphasis is also given to their progress in fabricated approaches and potential applications. Finally, a detailed presentation on the opportunities and challenges in the future development of 2D V‐V binary materials is given.
A Survey on Emerging Integration of Cloud Computing and Internet of Things

In this global era of technology, ambient intelligence links all real-life objects to internet, allowing us to collect all their data for information extraction and even its transformation into knowledge. With the rapid growth of Internet of Things (IoT), arises the need of more storage and computation power, which makes it essential for IoT to go along with distributed computing due to the enormous proportion of data IoT may produce. The virtually unlimited processing and storage resources of distributed systems are the minuscule solution to IoT’s resource issues and will also assist in mining potentially valuable statistics to help create smart applications for the users. In this survey, we are focusing on the consolidation of Cloud Computing and IoT, which is what we call Cloud of Things (CoT). Numerous researchers have studied Cloud computing & IoT on an individual premise and, their fundamental things, highlights and stifled technologies. In this paper, we offer a survey on the consolidation of Cloud and IoT. Beginning by examining the foundations of each IoT and Cloud Computing, we will in general discuss their fundamental technologies, their complementarity, and particularization and then finally we will be heading to their joining. The Cloud of Things concept has brought a variety of realizations to life. In this paper we have discusses some of the key problems that ascend from cloud and IoT integration and a few views on how to counter these issues.
User Response Based Information Quality Assessment of Social Media News Posts

Information on social media platform suffers from lack of monitoring. So the evaluation of information credibility on the social media platform is an important subject. Specifically, social media have become popular for news consumption. News in its purest form, unbiased and trustworthiness is a big challenge. Through social media the information spread at such a fast rate, that false information perceives potential to cause real-world impacts on millions of users within a minute. Despite its importance, research has not taken its upliftment to mitigate the factors influencing information quality. In this paper, we will review the content dimension by studying Information quality of news on social media. We discuss this problem by presenting a dimension and levels to IQ. We test and validate the proposed model by computing IQI through distribution. The results show that based on user responses we can provide an IQ index to the news article. Providing a scale to measure the credibility of content. The prediction that a particular news article to what extent it is trustworthy based on the analysis of user responses to the dimension of IQ can be an important step to fight against digital misinformation.
Real-time intelligent fault diagnosis using deep convolutional neural networks and wavelet transform

As an important part of the ship, the failure of the rotating machinery directly affects the safe navigation of the ship. Traditional fault diagnosis methods require manual feature extraction or selection which brings great limitations to the practical application. In our paper, a real-time intelligent fault diagnosis method is proposed based on wavelet transform algorithm and deep convolution neural network (DCNN) model. Firstly, original vibration signals of different kinds of fault is collected. Then, original signals are converted into time frequency image using wavelet transform method. Finally, these time-frequency images are fed into the DCNN to train the constructed model, and real-time signals are input into the trained model to achieve classification of the running state of the bearing. A real experiment is provided to estimate the effectiveness of the approach. The results demonstrate that the proposed method has high diagnostic accuracy and efficiency.
May I Keep an Eye on Your Training? Gait Assessment Assisted by a Mobile Robot*

A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the lessons taught by physiotherapists. While doing this, immediate feedback to the patient about deviations from physiological gait patterns during training is important. Such immediate feedback also concerns the correct usage of forearm crutches in three-point gait. In the project ROGER, a mobile Socially Assistive Robot (SAR) to support patients after surgery in hip endoprosthetics is going to be developed. The current implementation status of the robotic application developed for the use in a real-world scenario is presented below.
Numerical research on hydrodynamic characteristics of fish-like flexible oscillating hydrofoil

Hydrofoil is a common structure of underwater machinery and has good hydrodynamic performance. At present, most of the studies on oscillating hydrofoils are on rigid hydrofoils, but few on hydrodynamics of flexible oscillating hydrofoils. In this paper, the kinetic model of flexible hydrofoil is established by imitating tuna swimming. Then the relationship between the hydrodynamic coefficients and the flexibility of hydrofoil was analyzed. At last, the effects of the pressure distribution and the vortex distribution on the thrust of the flexible hydrofoil were analyzed. The research will do favor in the fish-like propulsor design.
Innovative Collaborative Learning Strategies for Integrated Interactive E-Learning in the 21st Century.

There is a constant challenge for online programs, instructional designers and instructors to tailor eLearning materials for different learning styles. We examined this issue by closely looking at the innovative interactive learning models at the previous AACE Conferences (Son & Goldstone, 2011, Son & Goldstone, 2012, Son & Simonian, 2013, Son & Simonian, 2014). At the current Conference, we will discuss how learner-centered collaborative learning should be designed to improve these models using the example of a global online MBA course at Anaheim University. Using international economics as the subject matter, we will closely examine innovative collaborative learning strategies which are vital in cultivating highly active, engaging and applied learning in global economic classrooms in the 21 century.