Miracle-dz/UniFAR-FTUs huggingface dataset:
Cooperative Opportunistic Scheduling in Multiple Antenna Cellular Networks

Multicell processing (MCP) techniques have attracted considerable research attention since they can effectively mitigate other-cell interference (OCI). However, the potential gain of MCP comes with several practical challenges including huge overhead and stringent synchronization requirements. In this paper, we propose cooperative opportunistic scheduling to coordinate OCI for downlink transmission in multiple antenna cellular networks, which incurs less overhead and relaxes synchronization requirements. As a baseline for comparison, we study the average throughput with noncooperative opportunistic scheduling and derive the throughput expression in closed form. We show that the scaling law of average throughput with noncooperative opportunistic scheduling follows the log log K form, where K is the number of users per cell. Furthermore, with the assumption that adjacent cells can exchange channel state information, we propose a cooperative opportunistic scheduler. Using extreme value theory, we obtain concise expression for the average throughput with the cooperative opportunistic scheduler, which is proven to scale like log K. Our analysis are verified by simulation results.
Three-Dimensional Map of Neonatal Arterial Ischemic Stroke Distribution From Early Multimodal Brain Imaging

Background and Purpose— Although neonatal arterial ischemic stroke (NAIS) location has considerable impact on long-term outcome, a map showing spatial distribution of NAIS is lacking. Our aim was to generate this distribution map, based on early magnetic resonance imaging data. Methods— Lesions from 34 consecutive neonates with NAIS from a single center were segmented using multimodal magnetic resonance imaging (median age at acquisition =5 days). Lesion masks for all subjects were registered onto a standard neonatal brain and then overlaid to generate a 3D map of NAIS distribution. Results— The region posterior to the central sulcus is the most frequently affected in neonates, with 24 of the 34 neonates (71%) showing lesions in this region in at least one hemisphere. Moreover, NAIS frequency is markedly higher in the left hemisphere. Conclusions— This is the first report of an NAIS distribution map. Regions posterior to the central sulcus present increased vulnerability. Our findings suggest that motor areas are not as frequently affected as has been previously reported. By contrast, we find high NAIS vulnerability in functional areas related to language. The distribution of ischemic strokes in neonates seems to be different from that seen in adults.
Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns

A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters’ Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators.
Optimized trajectory planning for mobile anchors in wireless sensor networks

A wireless sensor network is a huge number of distributed autonomous sensors embedded with nominal power wireless transceivers. The purpose of sensor networks is to monitor and sense the physical condition of the sensing field. In numerous applications the information of geographic region of the sensor nodes are crucial. Identifying the place of sensor nodes once deployed in the sensing field becomes difficult task in Wireless Sensor Networks (WSN). Hence localization is a prerequisite for WSN. Finding absolute position of sensor nodes without the aid of GPS in each node led to the introduction of anchor node. Mobile anchor node is preferably used to cover the entire sensing region with limited cost. In most localization algorithm, only a one mobile anchor has been customized for location identification as well as receiving the sensed data. Here we proposed a mechanism to utilize two mobile anchors with defined absolute trajectory. The trajectory of the two mobile anchor nodes depends on SCAN method. The anchor nodes travel in both forward and reverse directions to localize the sensor nodes and to receive the sensed data. The localization algorithm uses the geometric inference called at right angles bisector of two chords. Instead of single mobile anchor our proposed method achieves optimal localization within short time.
Beyond traditional evaluations: user's view in app stores

The choice of apps by users in App Stores is influenced by other users' ratings (reviews and star ratings). However, it is unclear what the relationship between user appraisal and an Usability and User eXperience (UUX) evaluation. In this paper, we will make the following investigations: i) what is the result of an UUX evaluation of mobile applications using user reviews in App Stores? ii) does the star rating represent the opinions of users about an app? and iii) is there a relationship between the ranking of apps and an evaluation of the UUX? Some results: i) the result of an UUX evaluation was different for the same app on different systems; ii) the star rating was in agreement with the opinions of the users, in two of the three apps tested; and iii) the results of an UUX evaluation are similar to the ranking of apps.
Multicriteria Decision Making Approach by Vikor Under Interval Neutrosophic Set Environment

The paper presents the extension of VIKOR method for the solution of the multicriteria decision making problems, namely VIKOR-IVNS. The original VIKOR method was proposed for the solution of the decision problems with the conflicting and non-common measurable criteria. In this paper, a new extension of the crisp VIKOR method has been proposed. This extension is developed in the context of interval-valued neutrosophic sets.
Rapid juvenile hormone downregulation in subordinate wasp queens facilitates stable cooperation

In many cooperatively breeding animals, subordinate group members have lower reproductive capacity than dominant group members. Theory suggests subordinates may downregulate their reproductive capacity because dominants punish subordinates who maintain high fertility. However, there is little direct experimental evidence that dominants cause physiological suppression in subordinates. Here, we experimentally test how social interactions influence subordinate reproductive hormones in Polistes dominula paper wasps. Polistes dominula queens commonly found nests in cooperative groups where the dominant queen is more fertile than the subordinate queen. In this study, we randomly assigned wasps to cooperative groups, assessed dominance behaviour during group formation, then measured levels of juvenile hormone (JH), a hormone that mediates Polistes fertility. Within three hours, lowest ranking subordinates had less JH than dominants or solitary controls, indicating that group formation caused rapid JH reduction in low-ranking subordinates. In a second experiment, we measured the behavioural consequences of experimentally increasing subordinate JH. Subordinates with high JH-titres received significantly more aggression than control subordinates or subordinates from groups where the dominant's JH was increased. These results suggest that dominants aggressively punished subordinates who attempted to maintain high fertility. Low-ranked subordinates may rapidly downregulate reproductive capacity to reduce costly social interactions with dominants. Rapid modulation of subordinate reproductive physiology may be an important adaptation to facilitate the formation of stable, cooperative groups.
Temporal-spatial variations monitoring of soil moisture using microwave polarization difference index

Soil moisture is a key variable that influences the redistribution of the radiant energy and the runoff generation and percolation of water in soil. Knowledge of soil moisture temporal-spatial variations is important in a wide range of studies. This study aims to investigate the temporal-spatial variations of soil moisture using microwave polarization difference index (MPDI). The AMSR-E/Aqua Daily Global Quarter-Degree Gridded Brightness Temperature at 10.65 GHz channel was used to calculate the MPDI. In addition, the AMSR-E/Aqua Daily L3 Surface Soil Moisture was used in this study. The temporal and spatial patterns between the MPDI and soil moisture were analyzed. The results indicate that the temporal and spatial patterns of the MPDI are consistent with those of soil moisture. The MPDI reflects the temporal and spatial variations of soil moisture.
Differences in the Load-Velocity Profile Between 4 Bench-Press Variants.

PURPOSE To compare the load-velocity relationship between 4 variants of the bench-press (BP) exercise. METHODS The full load-velocity relationship of 30 men was evaluated by means of an incremental loading test starting at 17 kg and progressing to the individual 1-repetition maximum (1RM) in 4 BP variants: concentric-only BP, concentric-only BP throw (BPT), eccentric-concentric BP, and eccentric-concentric BPT. RESULTS A strong and fairly linear relationship between mean velocity (MV) and %1RM was observed for the 4 BP variants (r2 > .96 for pooled data and r2 > .98 for individual data). The MV associated with each %1RM was significantly higher in the eccentric-concentric technique than in the concentric-only technique. The only significant difference between the BP and BPT variants was the higher MV with the light to moderate loads (20-70%1RM) in the BPT using the concentric-only technique. MV was significantly and positively correlated between the 4 BP variants (r = .44-.76), which suggests that the subjects with higher velocities for each %1RM in 1 BP variant also tend to have higher velocities for each %1RM in the 3 other BP variants. CONCLUSIONS These results highlight the need for obtaining specific equations for each BP variant and the existence of individual load-velocity profiles.
Emotion Detection using Machine Learning

- As we all know the human trait, we can guess the emotion of a human just by looking at the nature of their face, have you ever wondered what it would be like if a computer can do the same. Changes in the position of the muscles which are under the skin in the face of a person is called facial expression. These expressions convey the exact mood of the person in a non-verbal form. Since machine learning is training the machine to act like humans; we can do the same and teach the computer to recognize human emotions. ; what if it turns out better than we can perceive the emotions of others. The computer if first trained with 20,000 images, then the computer gains the capacity to classify the input images according to different. The main components of Emotion Detection are
The Beneficial Effects of Trimetazidine on Reperfusion–Induced Arrhythmia in Diabetic Rats

Abstract Trimetazidine (TMZ), as an anti-ischemic drug, plays a critical role in protecting against cardiovascular complications induced by diabetes. This study was therefore aimed to evaluate the protective effects of TMZ on reperfusion-induced arrhythmias in the diabetic rats. Male Sprague-Dawley rats (250±20 g) were randomly assigned to four (n=8): control rats (C), alloxan induced diabetic rats (D), diabetic rats treated with TMZ (10 mg/kg, D+T10), diabetic rats treated with TMZ (30 mg/kg, D+T30). TMZ was treated orally once daily for 8 weeks. Diabetes was induced by a single intraperitoneal injection of alloxan (120 mg/kg). Ischemia-reperfusion (I/R) was carried out via 30 min of ischemia and following120-min reperfusion. The magnitude and score of arrhythmia, the left ventricular function, infarct size, lactate dehydrogenase (LDH), myocardial creatine kinase (CK-MB) and troponin (cTnI) were measured. The findings were evaluated by two-way repeated measures and one-way ANOVA followed by LSD post hoc test and Fisher's exact test for incidence percentage. The duration, incidence and score of arrhythmia (p<0.001), infarct size (p<0.01) were significantly increased, the cardiac contractility (±dp/dt), LDH, CK-MB (p<0.001) and cTnI (p<0.05) were significantly decreased in the diabetic rats in comparison with the control group. However, treatment with TMZ in the diabetic rats was significantly improved the duration (p<0.001), incidence and score of arrhythmia,±dp/dt LDH, CK-MB, cTnI (p<0.05) and infarct size (p<0.01) in comparison with the untreated diabetic group. The present study indicates anti-arrhythmic effect of TMZ in reducing arrhythmias induced by reperfusion in the diabetic rats.
The Use of Virtual Reality Technology in the Treatment of Anxiety and Other Psychiatric Disorders

Learning objectives After participating in this activity, learners should be better able to: • Evaluate the literature regarding the effectiveness of incorporating virtual reality (VR) in the treatment of psychiatric disorders • Assess the use of exposure-based intervention for anxiety disorders Abstract Virtual reality (VR) allows users to experience a sense of presence in a computer-generated, three-dimensional environment. Sensory information is delivered through a head-mounted display and specialized interface devices. These devices track head movements so that the movements and images change in a natural way with head motion, allowing for a sense of immersion. VR, which allows for controlled delivery of sensory stimulation via the therapist, is a convenient and cost-effective treatment. This review focuses on the available literature regarding the effectiveness of incorporating VR within the treatment of various psychiatric disorders, with particular attention to exposure-based intervention for anxiety disorders. A systematic literature search was conducted in order to identify studies implementing VR-based treatment for anxiety or other psychiatric disorders. This article reviews the history of the development of VR-based technology and its use within psychiatric treatment, the empirical evidence for VR-based treatment, and the benefits for using VR for psychiatric research and treatment. It also presents recommendations for how to incorporate VR into psychiatric care and discusses future directions for VR-based treatment and clinical research.
Five-factor model in bereaved adults with and without complicated grief

ABSTRACT Knowledge about what psychological characteristics underlie complicated grief (CG) is limited. The current study examined the five-factor personality traits in 81 bereaved adults with (n = 51) and without (n = 30) CG. A trained doctoral-level clinician evaluated participants using a structured, diagnostic psychiatric interview, and they completed self-report measures of grief and personality. A multiple regression model indicated that higher levels of neuroticism were associated with greater CG symptom severity, implicating neuroticism in the development of CG. Future prospective studies confirming it as a risk factor for the development of CG are warranted.
Influence of Nebulized Unfractionated Heparin and N-Acetylcysteine in Acute Lung Injury After Smoke Inhalation Injury

To determine whether the combination of aerosolized unfractionated heparin and N-acetylcystine reduces 28-days mortality and lung injury scores (LISs) in adult patients with smoke inhalation injury requiring mechanical ventilation. The study was a single-center retrospective study with historical control. The authors included 30 mechanically ventilated adult subjects who were admitted within 48 hours of their bronchoscopy confirmed smoke inhalation injury over a 5-year period. The experimental group was treated with nebulized heparin sulfate, N-acetylcystine, and albuterol sulfate. Controls received ventilation support and albuterol sulfate. The authors calculated acute physiology and chronic health evaluation (APACHE)-III scores on admission in addition to daily LIS for 7 days. The experimental group was divided into five APACHE-III subgroups and matched with inhalation lung injury patients in the historical control group. There was no significant difference in initial APACHE-III scores or LISs between groups (&agr; = 0.05) upon entry to the study. The experimental group showed significant improvement in LISs, respiratory resistance and compliance measurements, and hypoxia scores as compared with controls throughout the duration of the study. There was a statistically significant survival benefit in the experimental group that was most pronounced in patients with APACHE-III scores >35. Survival for the control vs experimental group was 0.5714 ± 0.1497 vs 0.9375 ± 0.0605, respectively, (risk ratio −0.0055; 95% confidence interval −0.0314-0.0204; hazard ratio 1.003; number needed to treat 2.7). The use of aerosolized unfractionated heparin and N−acetylcystine attenuates lung injury and the progression of acute respiratory distress syndrome in ventilated adult patients with acute lung injury following smoke inhalation.
Factors Affecting Prognosis of Inhalation Injury

As care for burn injuries continue to improve, inhalation injuries have become a more significant cause of death. The purpose of this study was to evaluate factors affecting prognosis in patients with inhalation injuries. We undertook a retrospective chart review of all 829 consecutive patients admitted to our burn unit from January 2000 to September 2004. The 600 patients with thermal injury and no inhalation injury had a mortality of 3% (20/600). The 229 (28%) patients with an inhalation injury had an overall mortality of 16% (36/229; P < .001). Of these patients, 22 (10%) died in the first 48 hours, 90 (39%) were discharged in the first 48 hours, and 117 (51%) required hospitalization of at least 48 hours. Of the remaining 117 patients with inhalation injury the mortality was 12%. No difference in mortality (5% vs 3%) or length of stay (18 days vs 14 days) was seen between patients with an isolated inhalation injury and those with an inhalation injury plus an associated burn of less than 10% (P > .05). A significant difference was noted after the associated burn was larger then 10% (P < .05). The mortality rate and length of stay appear to be increased primarily by the severity of the associated burn in patients with inhalation injury andburns.
Comparison of oxidative stress biomarkers in hypertensive patients with or without hyperhomocysteinemia

ABSTRACT Hyperhomocysteinemia is an independent risk factor for cardiovascular impairment in hypertension. Oxidative stress is important in the molecular mechanisms associated with hypertension, but there are few studies focusing on the comparison of oxidative stress biomarkers in hypertensive patients with or without hyperhomocysteinemia. The study included 50 newly diagnosed hypertensive patients with hyperhomocysteinemia, 50 newly diagnosed hypertensive patients without hyperhomocysteinemia, and 50 age-matched healthy controls. Serum levels of malondialdehyde, nitric oxide, 8-isoprostane-F2ɑ, superoxide dismutase, catalase, and glutathione peroxides were compared. Levels of malondialdehyde and 8-isoprostane-F2ɑ were higher in both hypertensive groups than in the control group (8.3 ± 1.8 μmol/L vs. 6.5 ± 1.3 μmol/L vs. 4.3 ± 1.2 μmol/L, P < 0.05; 23.5 ± 12.1 pg/mL vs. 17.4 ± 10.3 pg/mL vs. 13.9 ± 7.5 pg/mL, P < 0.05), while levels of superoxide dismutase and catalase were lower in both hypertensive groups than in the control group (120.5 ± 13.7 U/mL vs. 131.3 ± 18.2 U/mL vs. 149.1 ± 14.6 U/mL, P < 0.05; 23.8 ± 7.4 U/mL vs. 24.6 ± 9.2 U/mL vs. 33.5 ± 8.2 U/mL, P < 0.05). In hypertensive subgroups, serum malondialdehyde levels were higher in the hyperhomocysteinemia group than the other group (8.3 ± 1.8 μmol/L vs. 6.5 ± 1.3 μmol/L; P < 0.05), and superoxide dismutase activities were lower in the hyperhomocysteinemia group than the other group (120.5 ± 13.7 U/mL vs. 131.3 ± 18.2 U/mL; P < 0.05). Moreover, in hypertensive patients, homocysteine levels were significantly correlated with malondialdehyde (r = 0.39, P < 0.01), 8-isoprostane-F2ɑ (r = 0.47, P < 0.05), superoxide dismutase (r = −0.51, P < 0.01), and catalase (r = −0.51, P < 0.05), respectively. Our ﬁndings demonstrated oxidative stress was more severe in hypertensive patients with hyperhomocysteinemia than those hypertensive patients without it. Besides, there were strong relationships between homocysteine activities and oxidative/antioxidative parameters, which indicated that homocysteine might aggravate the oxidative stress in hypertension to produce contributory effects on cardiovascular impairment.
Scale-aware hierarchical loss: A multipath RPN for multi-scale pedestrian detection

Pedestrians with different spatial scales exhibiting dramatically differences, the serious performance decline with decreasing resolution is the major bottleneck for current pedestrian detection. Considering the local feature differences for multi-scale pedestrians, a scale-aware multipath region proposal network is exploited to improve the recall rate, which is divided into several branches to generate a proper object proposal for target with specific scale range. Moreover, motivated by the visual semantic concepts of different convolutional layers, a scale-aware hierarchical loss model is introduced to minimize the error rate for pedestrians with different scales, in which the hierarchical features of higher convolutional layers are jointed to calculate a multi-task loss to learn scale-aware weighting of multipath region proposal network for each object proposal. Finally, compared to state-of-the-art methods, experimental results on the challenging ETH and Caltech benchmark show the superiority of the proposed method for large variance in instance scales.