Miracle-dz/UniFAR-FTUs huggingface dataset:
Spontaneous, Voluntary, and Affective Behaviours in Rat Models of Pathological Pain

In pain patients affective and motivational reactions as well as impairment of daily life activities dominate the clinical picture. In contrast, many rodent pain models have been established on the basis of mechanical hypersensitivity testing. Up to today most rodent studies on pain still rely on reflexive withdrawal responses only. This discrepancy has likely contributed to the low predictive power of preclinical pain models for novel therapies. Here, we used a behavioural test array for rats to behaviourally evaluate five aetiologically distinct pain models consisting of inflammatory-, postsurgical-, cephalic-, neuropathic- and chemotherapy-induced pain. We assessed paralleling clinical expressions and comorbidities of chronic pain with an array of behavioural tests to assess anxiety, social interaction, distress, depression, and voluntary/spontaneous behaviours. Pharmacological treatment of the distinct pain conditions was performed with pathology-specific and clinically efficacious analgesics as gabapentin, sumatriptan, naproxen, and codeine. We found that rats differed in their manifestation of symptoms depending on the pain model and that pathology-specific analgesics also reduced the associated behavioural parameters. Based on all behavioural test performed, we screened for tests that can discriminate experimental groups on the basis of reflexive as well as non-sensory, affective parameters. Together, we propose a set of non-evoked behaviours with a comparable predictive power to mechanical threshold testing for each pain model.
Lexical and Structural Cues to Discourse Processing in First and Second Language

Discourse connectives are lexical items like “but” and “so” that are well-known to influence the online processing of the discourse relations they convey. Yet, discourse relations like causality or contrast can also be signaled by other means than connectives, such as syntactic structures. So far, the influence of these alternative signals for discourse processing has been comparatively under-researched. In particular, their processing in a second language remains entirely unexplored. In a series of three self-paced reading experiments, we compare the reading patterns of contrastive relations by native French-speakers and non-native speakers of French with English as a first language. We focus on the effect of syntactic parallelism and how it interacts with different types of connectives. We test whether native and non-native readers equally recruit parallelism to process contrast in combination with or without a connective (Experiment 1), with a frequent vs. infrequent connective (Experiment 2) and with an ambiguous vs. unambiguous connective (Experiment 3), thus varying the explicitness and ease of retrieval of the contrast relation. Our results indicate that parallelism plays an important role for both groups of readers, but that it is a more prominent cue for non-native speakers, while its effect is modulated by task difficulty for native participants.
Effects of Microglial Activation and Polarization on Brain Injury After Stroke

Stroke is one of the most common causes of death worldwide. The subsequent development of neuroinflammation and brain edema dramatically increases the risks associated with stroke, leading to a substantial increase in mortality. Although considerable progress has been made in improving cerebral perfusion in the acute phase of stroke, effective treatment options for the subacute and chronic phases associated with cerebral infarction are limited. Microglia, the innate immune cells of the central nervous system (CNS), can be activated and polarized to take on different phenotypes in response to stimulations associated with stroke, including pro-inflammatory and anti-inflammatory phenotypes, which affect the prognosis of stroke. Therefore, investigation of the activation and polarizing mechanisms of microglia plays a critical role in treating stroke. The aim of this article was to investigate the significance of microglial phenotype regulation in stroke treatment by summarizing the activation, polarizing mechanisms, and general microglia characteristics.
Serum Extracellular Vesicle–Derived miR-124-3p as a Diagnostic and Predictive Marker for Early-Stage Acute Ischemic Stroke

Background: A delay in the diagnosis of acute ischemic stroke (AIS) reduces the eligibility and outcome of patients for thrombolytic therapy. Therefore, early diagnosis and treatment of AIS are crucial. The present study evaluated the sensitivity and accuracy of serum extracellular vesicle (EV)-derived miR-124-3p in the diagnosis and prediction of AIS. Methods: An miRNA expression profile was downloaded from Gene Expression Omnibus (GEO) database and analyzed by R software. EVs were harvested from the serum of AIS patients using a total exosome isolation kit and characterized by Western blotting, a transmission electron microscope, and the nanoparticle tracking analysis. BV2 microglia were pre-stimulated with lipopolysaccharide (LPS), followed by miR-124-3p treatment for 24 h and subsequent analysis of viability, apoptosis, and migration (scratch assay), and Western blotting. The relative expression of the selected genes was assessed by qRT-PCR. The phosphorylation of Erk1/2, PI3K/Akt, and p38MAPK in BV2 microglia cells was evaluated by Western blotting, while the luciferase reporter gene assay detected the correlation between key genes involved in the pro-inflammatory signaling pathways and miR-124-3p. Results: hsa-miR-124-3p was downregulated in AIS serum compared to the non-AIS serum (p < 0.05), and the gene expression of has-miR-124-3p in EVs was negatively correlated with serum pro-inflammatory cytokines and the NIHSS (p < 0.05). In addition, miR-124-3p promoted the viability and inhibited the apoptosis of LPS-induced BV2 microglia. Furthermore, miR-124-3p reduced the phosphorylation of Erk1/2, PI3K/Akt, and p38MAPK, and promoted the migration in LPS-induced BV2 microglia (p < 0.05). Conclusion: Serum EV-derived miR-124-3p serves as a diagnostic and predictive marker for early-stage AIS.
Explaining Caregivers' Perceptions of Palliative Care Unmet Needs in Iranian Alzheimer's Patients: A Qualitative Study

Introduction: The needs of Alzheimer's patients are very complex and diverse and many of them are considered unmet needs. Understanding and responding to the unmet and complex needs of Alzheimer's patients can affect the quality of care. Therefore, the present study aimed to explain the perception of formal and informal caregivers of the unmet needs of Iranian Alzheimer's patients. Methods: The present qualitative study employed a Directed Content Analysis approach and was conducted in Iran in 2020. This research was done through in-depth and semi-structured interviews with 19 qualified caregivers enrolled (11 informal caregivers and 8 formal caregivers) with the mean age of 46.05 ± 10.98 years in a purposive sampling method. Interviews continued until data saturation. Data analysis was performed simultaneously with data collection. After recording and transcribing, the data were analyzed using the Elo and Kyngas method based on the National Consensus Project framework (NCP). Data management was done with MAXQDA software. In order to achieve the accuracy and validity of the study, the criteria presented by Lincoln and Guba Credibility, Dependability, Confirmability, and Transformability were considered and used. Results: The mean age of participants was 46.05 ± 10.98. Participants in this study acknowledged that Alzheimer's patients need comprehensive needs management with a holistic approach to increase quality of life. This theme based on the NCP framework consists of seven main categories including “Structure and processes of care,” “Physical aspects of care,” “Psychological and psychiatric aspects of care,” “Social aspects of care,” “Cultural aspects of care,” “Care of the patient nearing the end of life,” and “Ethical and legal aspects of care” with 16 subcategories. Conclusion: The findings of this study provide a deep understanding of the unmet needs of Alzheimer's patients in Iran. Identifying the unmet needs of patients can pave the way for the treatment team to provide effective solutions to meet the needs and empower caregivers to provide comprehensive care for patients.
Systematic Conservation Planning at an Ocean Basin Scale: Identifying a Viable Network of Deep-Sea Protected Areas in the North Atlantic and the Mediterranean

Designing conservation networks requires a well-structured framework for achieving essential objectives such as connectivity, replication or viability, and for considering local management and socioeconomic stakes. Although systematic conservation planning (SCP) approaches are increasingly used to inform such networks, their application remains challenging in large and poorly researched areas. This is especially the case in the deep sea, where SCP has rarely been applied, although growing awareness of the vulnerability of deep-sea ecosystems urges the implementation of conservation measures from local to international levels. This study aims to structure and evaluate a framework for SCP applicable to the deep sea, focusing on the identification of conservation priority networks for vulnerable marine ecosystems (VMEs), such as cold-water coral reefs, sponge grounds, or hydrothermal vents, and for key demersal fish species. Based on multi-objective prioritization, different conservation scenarios were investigated, allowing the impact of key elements such as connectivity and conservation cost to be evaluated. Our results show that continental margin slopes, the Mid-Atlantic Ridge, and deeper areas of large and productive shelves housing fishing grounds appeared as crucial zones for preserving the deep-sea biodiversity of the North Atlantic, and within the limitations imposed by the data available, of the Mediterranean. Using biologically-informed connectivity led to a more continuous and denser conservation network, without increasing the network size. Even when minimizing the overlap with socioeconomic activities, the inclusion of exploited areas was necessary to fulfil conservation objectives. Such areas included continental shelf fishing grounds for demersal fish species, and areas covered by deep-sea mining exploration contracts for hydrothermal vent communities. Covering 17% of the study area and protecting 55% of each feature on average, the identified priority network held a high conservation potential. However, these areas still suffer from poor protection, with 30% of them benefiting from some form of recognition and 11% only from protection against trawling. Integrating them into current marine spatial planning (MSP) discussions could foster the implementation of a basin-scale conservation network for the deep sea. Overall, this work established a framework for developing large-scale systematic planning, useful for managing Areas Beyond National Jurisdiction (ABNJ).
Optical-Tactile Sensor for Lump Detection Using Pneumatic Control

Soft tactile sensors are an attractive solution when robotic systems must interact with delicate objects in unstructured and obscured environments, such as most medical robotics applications. The soft nature of such a system increases both comfort and safety, while the addition of simultaneous soft active actuation provides additional features and can also improve the sensing range. This paper presents the development of a compact soft tactile sensor which is able to measure the profile of objects and, through an integrated pneumatic system, actuate and change the effective stiffness of its tactile contact surface. We report experimental results which demonstrate the sensor’s ability to detect lumps on the surface of objects or embedded within a silicone matrix. These results show the potential of this approach as a versatile method of tactile sensing with potential application in medical diagnosis.
Development of Quantitative Calibration Method for Planar Laser Induced Exciplex Fluorescence Technique and Application on the Diesel Spray CharacteristicsI:Study of quantitative calibration method for fuel spray equivalence ratio

Quantitative calibration method for PLIEF was developed and established to acquire the relation between the fluorescence and fuel concentration in a fuel spray over wide range of ambient pressure and temperature.The relationship of the coefficient Kvapor in the Lambert-Beer law with ambient pressure and temperature was investigated.The results showed that Kvapor decreased with the increase of ambient pressure.The ambient gas components include CO2,N2 and H2O and have little influence on Kvapor.As ambient temperature increases,Kvapor is increased before 600 K and decreased after 600 K.A 3-D Map of Kvapor with ambient temperature and pressure was plotted,which was employed to calibrate the PLIEF image of equivalence ratio profile in the spray.
Max–min fair robust beamforming design for underlay device‐to‐device communications in cellular networks

This paper investigates the robust downlink beamforming designs based on max–min fairness and base station (BS) power consumption constraint for device‐to‐device (D2D) communications underlaying cellular network, under the assumption of imperfect channel state information (CSI) at the BS. Our objective is to maximize the minimum signal‐to‐interference‐plus‐noise ratio (SINR) or non‐outage probability of users while guaranteeing that the consumed power at the BS is less than a threshold. In particular, three max–min fairness scenarios are considered. In the first scenario, the worst‐case SINR of cellular users (CUs) is maximized where the D2D SINR is guaranteed to be above a specified predetermined threshold. In the second scenario, we extend the first scenario and maximized D2D SINR while maximizing CUs' SINR. In these two scenarios, it is assumed that the errors are upper bounded in their Frobenius norms. In the third scenario, the minimum non‐outage probability of users is maximized, while a probabilistic model is considered for the uncertainty of channel covariance matrices. Although such optimization problems are not convex, the semidefinite relaxation (SDR) approach is used to obtain the optimal beamforming matrix, which always complies the rank‐one constraint. Simulation results show that significant improvement in terms of minimum SINR of CUs, the minimum non‐outage probability of CUs, and the probability of feasibility and the fairness index can be achieved with our proposed algorithms in comparison with other beamforming schemes.
Healthcare workers’ (HCWs) attitudes and related factors towards COVID-19 vaccination: a rapid systematic review

Herd immunity through vaccination is a key measure to control COVID-19 pandemic. However, vaccine hesitancy remains a public health threat, which is still common among healthcare workers (HCWs). This systematic review aimed to synthesise evidence on HCWs’ attitudes towards COVID-19 vaccination and analyse associated factors to provide information for vaccine policy development and practice. We searched PubMed, Embase, ScienceDirect, Web of Science and three Chinese databases for literature published on 12 February 2021. Two researchers screened the literature independently, and 13 studies were included in the systematic review. Vaccine acceptance varied widely and ranged from 27.7% to 77.3%. HCWs had positive attitudes towards future COVID-19 vaccines, while vaccine hesitancy was still common. Demographic variables such as men, older age and physicians were positive predictive factors. Women and nurses had more vaccine hesitancy. Previous influenza vaccination and self-perceived risk were facilitators. Concerns for safety, efficacy and effectiveness and distrust of the government were barriers. Influences of direct (COVID-19) patient care towards vaccination intention were less conclusive. Tailored communication strategies were needed to increase the uptake rate of COVID-19 vaccines among HCWs. More importantly, more data and information on the safety and efficacy of vaccines should be provided with transparency.
Comparison of Volatile Profile of Moringa oleifera Leaves from Rwanda and China Using HS-SPME

Moringa oleifera leaf samples from China and Rwanda were used for volatile profile analysis. Volatile compounds were analyzed using the Headspace-Solid Phase Microextraction (HS-SPME)-Gas Chromatography-Mass Spectrometry (GC-MS). A total of 93 volatiles consisting of aldehydes, alcohols, ketones, hydrocarbons, esters, terpenoids and acids were identified. While a total of 61 compounds were contained in the sample from China with acetic acid (12.54% of total volatiles) as the most abundant volatile compound, Rwandan sample contained 59 compounds having hexanoic acid (19.81% of total volatiles) as the most abundant one. Chinese sample showed a higher amount of fat (3.56%) and protein (29.54%) than Rwandan sample fat (3.48%) and protein (25.26%). The ash content was found to be higher in Rwandan sample than in Chinese sample 17.26% and 13.44% respectively. The total polyphenol and total flavonoid contents of Chinese and Rwandan samples were respectively as follow Chinese sample (24.65 mg GAE/g dry weight basis and 39.08 mg Rutin Eq/g dry weight basis) and Rwandan sample (30.01 mg GAE/g dry weight basis; 52.78 mg Rutin Eq/g dry weight basis).
How Self-fulfilling Prophecy Can Impact New Product Development

OVERVIEW: In new product development (NPD), practitioners and researchers have explored a variety of organizational factors, such as market orientation and firm innovativeness, that drive product success. They have not explored the role of expected outcomes on NPD. Using a social psychology perspective—a hitherto missing perspective in the NPD literature—we describe how expected outcomes can drive new product success. Specifically, we highlight how self-fulfilling prophecies are likely to impact the performance of new products favorably. Surprisingly, our results indicate that expected outcomes mediate the relationship between predicted product success and actual success, leading to improved new product performance. Introducing a social psychological perspective can impact how innovative firms accomplish new product success.
Intake of the Artificial Sweetener Acesulfame-Potassium Alone and in Combination with a High-Fat Diet Leads to Differential and Sex-Specific Effects on Metabolic Function in Mice

Sugar-sweetened beverages are associated with metabolic dysfunction, particularly in those with increased risk factors. Artificial sweeteners (AS) are often promoted as a healthier alternative, yet findings remain conflicting as to their effects on metabolic function. Further, there is a lack of data exploring the interaction between AS and high-fat diets (HFD). We therefore examined the effects of HFD and the AS Acesulfame-potassium (Ace-K) on glucose intolerance and adipose tissue physiology in male and female C57BL/6 mice. 40 mice were randomised to receive either a) a control diet (CDCon; standard control diet/water), b) control diet and Ace-k (CDAS; CD/7.5mM AS in drinking water), c) HFD (HFCon; HFD (45%kcal from fat)/water), or d) HF and AS (HFAS; HFD/7.5mM AS in drinking water) for 6 weeks. A HFD increased body weight in male and female mice independently of AS supplementation. AS induced sex-specific effects protecting against HFDinduced hyperglycaemia and adipocyte hypertrophy in male mice and reducing inflammatory gene expression in the adipose tissue. Conversely in females, AS induced hyperinsulinemia in HFD mice and increased expression of immune-related genes. These findings suggest that supplementation of HFD with AS exacerbates metabolic dysfunction in female mice. This work supports the importance of studying sexually dimorphic responses to an altered nutritional environment and highlights the need for further investigation into the intake of AS, particularly in those already at risk of metabolic disease such as the obese or overweight.
Response of Prefrontal Cortex to Executive Function Tasks in Early Childhood: An Exploratory Case Study for Childcare

Executive function (EF) development is remarkable in early childhood. EF is an ability that provides a foundation for future success; accordingly, supporting children during their early childhood is crucial. So far, there have been many findings on EF in early childhood based on behavioral observation. This exploratory case study examines the measurement of prefrontal cortex activity during the performance of EF tasks using functional near-infrared spectroscopy (fNIRS). This study aims to explore the following hypothesis. (1) The prefrontal cortex during early childhood becomes more active as a task becomes more difficult. (2) However, brain activity decreases and stabilizes as time progresses. (3) The evaluation can be easily measured with two-channel fNIRS. Experimental results showed that the preschooler and the child in lower elementary school displayed high levels of brain activity in the order of increasing difficulty in terms of behavioral indicators. Moreover, the preschooler showed higher levels of reaction than the child in lower elementary school. This result is useful and will broaden the perspectives of scholars in the fields of psychology, pedagogy, and neuroscience, those involved in child support.
Supplementary Materials for Towards Compact CNNs via Collaborative Compression

Yuchao Li1,2∗, Shaohui Lin*, Jianzhuang Liu, Qixiang Ye, Mengdi Wang Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji1,7,8† Media Analytics and Computing Laboratory, Department of Artificial Intelligence, School of Informatics, Xiamen University, Alibaba Group, East China Normal University Huawei Noah’s Ark Lab, University of Chinese Academy of Sciences, Huawei TechnologiesCo. ,Ltd Institute of Artificial Intelligence, Xiamen University, Peng Cheng Laboratory
Indonesia-Based Study of the Clinical and Cost-Saving Benefits of Subcutaneous Allergen Immunotherapy for Children with Allergic Rhinitis in Private Practice

Background: Until now, the cost of allergy treatment in the insured public health care system and the non-insured self-financing private health care system in Indonesia has not been well documented and published, as well as the cost of allergy treatment with subcutaneous immunotherapy. Objective: To evaluate the clinical and cost benefits of allergic rhinitis treatment in children with subcutaneous immunotherapy in a non-insured self-financing private health care system. Methods: A retrospective cohort study conducted from 2015 until 2020 that compared the clinical improvement and health care costs over 18 months in newly diagnosed AR children who received SCIT versus matched AR control subjects who did not receive SCIT, with each group consisting of 1098 subjects. Results: A decrease in sp-HDM-IgE level (kU/mL) from 20.5 + 8.75 kU/mL to 12.1 + 3.07 kU/mL was observed in the SCIT group. To reduce the symptom score of allergic rhinitis by 1.0 with SCIT, it costs IDR 21,753,062.7 per child, and for non-SCIT, it costs IDR 104,147,878.0 per child. Meanwhile, to reduce the medication score (MS) by 1.0 with SCIT, it costs IDR 17,024,138.8, while with non-SCIT, it costs IDR 104,147,878.0. Meanwhile, to lower combination symptoms and medication score (CSMS) by 1.0, with SCIT, it costs IDR 9,550,126.6, while with non-SCIT, it costs IDR 52,073,938.9. Conclusions: In conclusion, this first Indonesia-based study demonstrates substantial health care cost savings associated with SCIT for children with AR in an uninsured private health care system and provides strong evidence for the clinical benefits and cost-savings benefits of AR treatment in children.