Miracle-dz/UniFAR-FTUs huggingface dataset:
Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification

The objective of the present study was to compare the differentiation between breast cancer and benign breast lesions and study regional distribution characteristics in various subtypes of breast cancer using intravoxel incoherent motion (IVIM) parameters. This retrospective study involved 119 patients with breast cancer and 22 patients with benign breast lesions, who underwent 3.0T breast magnetic resonance imaging examinations. The apparent diffusion coefficient (ADC) and IVIM parameters (slow ADC, fast ADC and fraction of fast ADC) were obtained from patients with breast cancer and benign lesions using diffusion-weighted imaging (DWI) with b-values of 0, 50, 100, 150, 200, 400, 500, 1,000 and 1,500 sec/mm2. Compared with patients with benign breast lesions, patients with breast cancer exhibited decreased ADC (P<0.001), slow ADC (P<0.001) and fast ADC (P<0.001) values, and higher fraction of fast ADC (P<0.001) values. Tumors with metastatic axillary lymph nodes demonstrated increased fraction of fast ADC values (P<0.001) and decreased slow ADC values (P<0.001) compared with tumors without metastatic axillary lymph nodes. The Fast ADC values of tumor tissues in estrogen receptor (ER) and progesterone receptor (PR) negative groups were higher than in positive groups (P<0.001), and the slow ADC values of tumor tissues were lower in ER and PR negative groups than positive groups (P<0.001). Luminal B (HER2- negative) tumor (P<0.001) and peritumor (P<0.001) tissues exhibited decreased fraction of fast ADC values, in comparison with other subtypes. Triple-negative breast cancer (TNBC) tumor tissue exhibited increased fast ADC (P<0.001) and fraction of fast ADC values (P<0.001), and decreased slow ADC values (P<0.001), when compared with other subtypes. The TNBC tumor edge tissues had increased fraction of fast ADC values compared with other subtypes (P<0.01) and TNBC tumor tissues (P<0.05). Therefore, the IVIM parameters of tumor, tumor edge and peritumor tissues in various subtypes of breast cancer may be useful for differentiation of breast cancer subtypes and to assess the invasive extent of the tumors.
Treatment of disability associated with chronic non-specific low back pain using core stabilization exercises in Pakistani population.

BACKGROUND Chronic non-specific low back is the most common musculoskeletal complaint that significantly affects the general population. Exercises are advocated as the main part of treatment for chronic low back pain. OBJECTIVE The purpose of this study was to compare the effects of workouts of the core musculature and routine physical therapy exercise training for the treatment of disability caused by chronic low back pain. METHODS In this single-blinded, randomized, controlled trial, 120 patients with non-specific low back pain were examined in Lahore, Pakistan. They were randomly allocated into treatment groups A and B. Group A performed core stabilization workouts and Group B had routine physical therapy. The Oswestry Disability Index (ODI) was used to evaluate the outcome of each treatment. Statistical analysis was performed using SPSS v16.0 and a p value < 0.05 was considered significant. RESULTS Significant reduction in disability was observed in both groups at the end of the second, fourth, and sixth week of treatment (p value < 0.05). The mean reduction in disability as measured by ODI score was 39.44 ± 14.64 for Group A and 31.91 ± 12.31 for Group B. CONCLUSION A larger reduction in disability was observed for subjects treated with core stabilization exercises in comparison to those treated with routine physical therapy.
A Parallel Criminisi Algorithm

Nowadays image repairing is widely used in a variety of areas. Inpainting algorithms play an important role in the image repairing process. Among all inpainting algorithms, Criminisi algorithm is a common used algorithm. In this paper, we modify the Criminisi algorithm in a parallel way. Our experimental results show that our parallelization makes the repairing process faster and still maintain good performance.
Dense neural networks as sparse graphs and the lightning initialization

Even though dense networks have lost importance today, they are still used as final logic elements. It could be shown that these dense networks can be simplified by the sparse graph interpretation. This in turn shows that the information flow between input and output is not optimal with an initialization common today. The lightning initialization sets the weights so that complete information paths exist between input and output from the start. It turned out that pure dense networks and also more complex networks with additional layers benefit from this initialization. The networks accuracy increases faster. The lightning initialization has two parameters which behaved robustly in the tests carried out. However, especially with more complex networks, an improvement effect only occurs at lower learning rates, which shows that the initialization retains its positive effect over the epochs with learning rate reduction.
A large aperture row column addressed probe for in vivo 4D ultrafast doppler ultrasound imaging

Four-dimensional (4D) Ultrafast ultrasound imaging was recently proposed to image and quantify blood flow with high sensitivity in 3D as well as anatomical, mechanical or functional information. In 4D Ultrafast imaging, coherent compounding of tilted planes waves emitted by a 2D matrix array were used to image the medium at high volume rate. 4D ultrafast imaging, however, requires a high channel count (>1000) to drive those probes. Alternative approaches have been proposed and investigated to efficiently reduce the density of elements, such as sparse or under-sampled arrays while maintaining a decent image quality and high volume rate. The row–columns configuration presents the advantage of keeping a large active surface with a low amount of elements and a simple geometry. In this study, we investigate the row and column addressed (RCA) approach with the orthogonal plane wave (OPW) compounding strategy using real hardware limitations. We designed and built a large 7 MHz 128 + 128 probe dedicated to vascular imaging and connected to a 256-channel scanner to implement the OPW imaging scheme. Using this strategy, we demonstrate that 4D ultrafast Power Doppler imaging of a large volume of up to depth, both in vitro on flow phantoms and in vivo on the carotid artery of a healthy volunteer at a volume rate of 834 Hz.
Defective Vagal Innervation in Murine Tbx1 Mutant Hearts

Haploinsufficiency of the T-box transcription factor TBX1 is responsible for many features of 22q11.2 deletion syndrome. Tbx1 is expressed dynamically in the pharyngeal apparatus during mouse development and Tbx1 homozygous mutants display numerous severe defects including abnormal cranial ganglion formation and neural crest cell defects. These abnormalities prompted us to investigate whether parasympathetic (vagal) innervation of the heart was affected in Tbx1 mutant embryos. In this report, we used an allelic series of Tbx1 mouse mutants, embryo tissue explants and cardiac electrophysiology to characterise, in detail, the function of Tbx1 in vagal innervation of the heart. We found that total nerve branch length was significantly reduced in Tbx1+/− and Tbx1neo2/− mutant hearts expressing 50% and 15% levels of Tbx1. We also found that neural crest cells migrated normally to the heart of Tbx1+/−, but not in Tbx1neo2 mutant embryos. In addition, we showed that cranial ganglia IXth and Xth were fused in Tbx1neo2/− but neuronal differentiation appeared intact. Finally, we used telemetry to monitor heart response to carbachol, a cholinergic receptor agonist, and found that heart rate recovered more quickly in Tbx1+/− animals versus controls. We speculate that this condition of decreased parasympathetic drive could result in a pro-arrhythmic substrate in some 22q11.2DS patients.
Social Navigation Planning Based on People's Awareness of Robots

When mobile robots maneuver near people, they run the risk of rudely blocking their paths; but not all people behave the same around robots. People that have not noticed the robot are the most difficult to predict. This paper investigates how mobile robots can generate acceptable paths in dynamic environments by predicting human behavior. Here, human behavior may include both physical and mental behavior, we focus on the latter. We introduce a simple safe interaction model: when a human seems unaware of the robot, it should avoid going too close. In this study, people around robots are detected and tracked using sensor fusion and filtering techniques. To handle uncertainties in the dynamic environment, a Partially-Observable Markov Decision Process Model (POMDP) is used to formulate a navigation planning problem in the shared environment. People's awareness of robots is inferred and included as a state and reward model in the POMDP. The proposed planner enables a robot to change its navigation plan based on its perception of each person's robot-awareness. As far as we can tell, this is a new capability. We conduct simulation and experiments using the Toyota Human Support Robot (HSR) to validate our approach. We demonstrate that the proposed framework is capable of running in real-time.
PACE: Penalty Aware Cache Modeling with Enhanced AET

Past cache modeling techniques are typically limited to a cache system with a fixed cache line/block size. This limitation is not a problem for a hardware cache where the cache line size is uniform. However, modern in-memory software caches, such as Memcached and Redis, are able to cache varied-size data objects. A software cache supports update and delete operations in addition to only reads and writes for a hardware cache. Moreover, existing cache models often assume that the penalty for each cache miss is identical, which is not true especially for software cache targeting web services, and past cache management policies that aim to improve cache hit rate are no longer sufficient. We propose a more general cache model that can handle varied cache block sizes, nonuniform miss penalties, and diverse cache operations. In this paper, we first extend a state-of-the-art cache model to accurately predict cache miss ratios for variable cache sizes when object size, updates and deletions are considered. We then apply this model to drive cache management when miss penalty is brought into consideration. Our approach delivers better results than a recent penalty-aware cache management scheme, Hyperbolic Caching, especially when cache budget is tight. Another advantage of our approach is that it provides predictable and controllable cache management on cache space allocation, especially when multiple applications share the cache space.
How to run on rough terrains

Stability of running on rough terrain depends on the propagation of perturbations due to the ground. We consider stability within the sagittal plane and model the dynamics of running as a two-dimensional body with an alternating aerial and stance phase. Stance is modeled as a passive, impulsive collision followed by an active, impulsive push-off that compensates for collisional losses. Such a runner has infinitely many strategies to maintain periodic gaits on flat ground. However, these strategies differ in how perturbations due to terrain unevenness are propagated. Instabilities manifest as tumbling (orientational instability) or failing to maintain a steady speed (translational instability). We find that open-loop strategies that avoid sensory feedback are sufficient to maintain stability on step-like terrains with piecewise flat surfaces that randomly vary in height. However, these open-loop runners lose orientational stability on rough terrains whose slope and height vary randomly. Only by avoiding tangential collisions is orientational stability recovered. Tangential collisions may be avoided through leg-retraction to match foot and ground speed at touch down. By analyzing the propagation of perturbations, we derive a single dimensionless parameter that governs stability and guides the design and control of both biological and robotic runners.
Prognostic value of NM23 in patients with gastric cancer: A systematic review and meta-analysis

Aim of Study: NM23, as a possible biomarker of prognosis in malignant tumors, has generated remarkable interest in this critical period of the high morbidity and mortality of malignancies. Thus, we launched this meta-analysis to investigate the predictive value of NM23 expression in patients with gastric cancer. Materials and Methods: We searched PubMed, Embase, and Web of Science for relevant articles. The pooled odds ratios (ORs) and corresponding 95% confidence interval (CI) were calculated to evaluate the prognostic value of NM23 expression in patients with gastric cancer and the association between NM23 expression and clinicopathological factors. We also performed subgroup analyses to find the source of heterogeneity. Results: Exactly, 2674 patients were pooled from 19 available studies in total. The incorporative OR combined by 11 studies with overall survival (OS) showed no significance (OR = 0.90, 95% CI: 0.51–1.58, P = 0.71). Although we failed to find any significance in N status and tumor node metastasis (TNM) staging (P = 0.23 and P = 0.74, respectively), elevated NM23 expression was related to well tumor differentiation (OR = 0.62, 95% CI: 0.41–0.95, P = 0.03). However, in the subgroup analyses, we could not find any potential source of heterogeneity. Conclusion: The results showed that statistically significant association was found between NM23 expression and the tumor differentiation of patients with gastric cancer, but no significance was found in OS, N status, and TNM staging. More and further researches should be conducted to reveal the prognostic value of NM23.
An Evaluation of the Potential of NMR Spectroscopy and Computational Modelling Methods to Inform Biopharmaceutical Formulations

Protein-based therapeutics are considered to be one of the most important classes of pharmaceuticals on the market. The growing need to prolong stability of high protein concentrations in liquid form has proven to be challenging. Therefore, significant effort is being made to design formulations which can enable the storage of these highly concentrated protein therapies for up to 2 years. Currently, the excipient selection approach involves empirical high-throughput screening, but does not reveal details on aggregation mechanisms or the molecular-level effects of the formulations under storage conditions. Computational modelling approaches have the potential to elucidate such mechanisms, and rapidly screen in silico prior to experimental testing. Nuclear Magnetic Resonance (NMR) spectroscopy can also provide complementary insights into excipient–protein interactions. This review will highlight the underpinning principles of molecular modelling and NMR spectroscopy. It will also discuss the advancements in the applications of computational and NMR approaches in investigating excipient–protein interactions.
What psycho-social factors determine intimate partner violence of men against women? A social cognitive theory-based study

Abstract Despite the multidimensionality of intimate partner violence (IPV) against women, there is a lack of research on the perspectives of men toward the phenomenon. Our aim in this cross-sectional study was to examine the predictability of social cognitive theory in explaining men’s violent behaviors against women. We find among a sample of 576 Iranian married men showed a reciprocal determinism between outcome expectancy, attitude toward IPV, and observational learning in formation of men's IPV against women. Therefore, the interactive associations of cognitive and environmental factors, as a comprehensive approach, should be considered while studying the determinants of IPV against women among men.
Immune Response to Dengue Virus Infection in Pediatric Patients in New Delhi, India—Association of Viremia, Inflammatory Mediators and Monocytes with Disease Severity

Dengue virus, a mosquito-borne flavivirus, is a causative agent for dengue infection, which manifests with symptoms ranging from mild fever to fatal dengue shock syndrome. The presence of four serotypes, against which immune cross-protection is short-lived and serotype cross-reactive antibodies that might enhance infection, pose a challenge to further investigate the role of virus and immune response in pathogenesis. We evaluated the viral and immunological factors that correlate with severe dengue disease in a cohort of pediatric dengue patients in New Delhi. Severe dengue disease was observed in both primary and secondary infections. Viral load had no association with disease severity but high viral load correlated with prolonged thrombocytopenia and delayed recovery. Severe dengue cases had low Th1 cytokines and a concurrent increase in the inflammatory mediators such as IL-6, IL-8 and IL-10. A transient increase in CD14+CD16+ intermediate monocytes was observed early in infection. Sorting of monocytes from dengue patient peripheral blood mononuclear cells revealed that it is the CD14+ cells, but not the CD16+ or the T or B cells, that were infected with dengue virus and were major producers of IL-10. Using the Boruta algorithm, reduced interferon-α levels and enhanced aforementioned pro-inflammatory cytokines were identified as some of the distinctive markers of severe dengue. Furthermore, the reduction in the levels of IL-8 and IL-10 were identified as the most significant markers of recovery from severe disease. Our results provide further insights into the immune response of children to primary and secondary dengue infection and help us to understand the complex interplay between the intrinsic factors in dengue pathogenesis.
Preoperative platelet-lymphocyte ratio is an independent prognostic factor in ampullary carcinoma following pancreaticoduodenectomy

The objective of the present study was to evaluate whether preoperative platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) could predict the prognosis for curative resected ampullary carcinoma. A total of 94 patients were retrospectively included over a 6-year period in which consecutive cases underwent pancreaticoduodenectomy for ampullary malignancy. Preoperative blood results were available in the 94 cases of resected ampullary carcinoma. Preoperative PLR and NLR cut-off values of 226.8 and 2.58 were determined to represent the optimal cut-off values in the cases for survival analysis. PLR remained a significant independent predictor of survival in multivariate analysis (Cox, P<0.001) in addition to tumor differentiation (P<0.001), nodal status (P<0.001) and stage (P<0.001). While NLR failed to serve as a prognostic factor in univariate (P=0.0637) and multivariate (P=0.164) survival analysis. Furthermore, the nodal involvement rate was higher in high PLR group (74.2 vs. 19.05%, P<0.001). Preoperative PLR and NLR merit further evaluation as a prognostic index in curative resected ampullary carcinoma. Additionally, it is a candidate predictor for the lymph node metastasis.
Secure and Energy-Efficient Transmissions in Cache-Enabled Heterogeneous Cellular Networks: Performance Analysis and Optimization

This paper studies physical-layer security for a cache-enabled heterogeneous cellular network comprised of a macro base station and multiple small base stations (SBSs). We investigate a joint design on caching placement and file delivery for realizing secure and energy-efficient transmissions against randomly distributed eavesdroppers. We propose a novel hybrid “most popular content” and “largest content diversity” caching placement policy to distribute the files of different popularities. Depending on the availability and placement of the requested file, we employ three cooperative transmission schemes, namely, distributed beamforming, frequency-domain orthogonal transmission, and best SBS relaying. We derive analytical expressions for the connection outage probability and secrecy outage probability for each transmission scheme. Afterward, we design the optimal transmission rates and caching allocation successively to achieve a maximal overall secrecy throughput and secrecy energy efficiency, respectively. Numerical results verify the theoretical analyses and demonstrate the superiority of the proposed hybrid caching policy.
Diet and Physical Activity as Determinants of Lifestyle Chosen by Women from Southern Poland

The aim of the study was to assess the relationship between the lifestyle of Polish women (characterized by the quality of diets and levels of reported physical activity) and their characteristics such as age, place of residence, physical activity at work or school, reported health status, and BMI. The sample consisted of 882 women from Southern Poland. Diet quality and the level of physical activity were evaluated by the Nutrition Beliefs Questionnaire established by the Polish Academy of Sciences. The lifestyle category (healthy, moderate, or unhealthy) was based on “Prohealthy Diet Index-10” and participant’s self-assessed physical activity during their leisure-time. The lifestyle category was significantly associated with age, BMI, physical activity at work/school, and health. Moderate lifestyle (high or moderate levels of physical activity combined with low prohealthy diet) was the most commonly found classification in examined women. Age (>35 years old) and overweight are the main factors determining unhealthy lifestyle behavior. Healthy lifestyle is more often chosen by the women from big cities. More intensive efforts should be undertaken to increase the knowledge and awareness of the health benefits of a healthy lifestyle. The main goal should be concentrated on increasing the level of physical activity, especially in leisure time, and promoting the tenets of a well-balanced diet.
An Empirical Study on NVM-based Block I/O Caches

This paper presents an empirical study on block I/O caches when combining the performance benefits of emerging NVM storages and the cost-effectiveness of secondary storages. Current state-of-the-art I/O caching solutions are designed around the performance characteristics of SSDs, and our study reveals that using them with NVM storages does not fully reap the benefits of I/O devices with near-DRAM latencies. With fast NVM storages, locating data must be handled efficiently, but the sophisticated yet complex data structures used in existing designs impose significant overheads by substantially increasing the hit time. As this design approach is suboptimal for accessing fast I/O devices, we suggest several architectural designs to exploit the performance of NVM storages.
Mechanistic/mammalian target of rapamycin: Recent pathological aspects and inhibitors

The mechanistic/mammalian target of rapamycin (mTOR), also known as the mechanistic target of rapamycin, regulates many normal cell processes such as transcription, cell growth, and autophagy. Overstimulation of mTOR by its ligands, amino acids, sugars, and/or growth factors leads to physiological disorders, including cancer and neurodegenerative diseases. In this study, we reviewed the recent advances regarding the mechanism that involves mTOR in cancer, aging, and neurodegenerative diseases. The chemical and biological properties of recently reported small molecules that function as mTOR kinase inhibitors, including adenosine triphosphate‐competitive inhibitors and dual mTOR/PI3K inhibitors, have also been reviewed. We focused on the reports published in the literature from 2012 to 2017.