Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Internet Antitrust Law and Its Improvement Path: Based on the Comparison of China, the United States, and Europe

The monopoly problem of Internet companies is of great significance to economic development. How to define the relevant market, how to determine the abuse of market dominance, etc., are all vacant in Chinese legal time. To fill this gap, based on the comparison of China and the United States, China and Europe, combined with the in-depth interpretation of judicial practice, jurisprudence analysis, and other aspects, a comparative law study is carried out here.
The Role of Liquid Biopsy in the Diagnostic Testing Algorithm for Advanced Lung Cancer

The discovery of therapeutically targetable oncogenic driver alterations has led to marked improvements in NSCLC outcomes. Targeted agents have been approved for an expanding list of biomarkers. Consequently, the accurate and timely identification of targetable alterations with diagnostic molecular profiling is crucial. The use of multiplexed tissue assays, such as next-generation sequencing (NGS), has increased significantly. However, significant limitations with tissue NGS remain, such as insufficient tissue, scheduling limitations, the need for repeat biopsies, and long turnaround times. Liquid biopsies, using plasma circulating tumor DNA (ctDNA), have the potential to overcome these issues, with simpler sample processing requirements, greater convenience, and better patient acceptability. In particular, an early liquid biopsy may allow patients access to highly effective therapies faster, allow better symptom control and quality of life, prevent rapid clinical deterioration, and reduce patient anxiety at diagnosis. More broadly, it may also allow for the more cost-effective delivery of healthcare to patients.
Renal outcomes of suprarenal vs. infrarenal endograft fixation in endovascular abdominal aortic aneurysm repair: a narrative review

Background and Objective Abdominal aortic aneurysm (AAA) is a common pathology with a prevalence of 4.8%. AAA rupture is associated with significant mortality and so early diagnosis followed by regular monitoring is needed until treatment might be considered and plan intervention. Endovascular aneurysm repair (EVAR) is an established and effective alternative to open surgical repair (OSR) in the treatment of AAAs. Key parameters in defining conventional EVAR suitability include the infrarenal neck length and angulation for the fixation of the proximal graft component. Endograft fixation can be either suprarenal or infrarenal and much debate exists as to which approach is associated with optimum renal outcomes. This study aims to review the current literature with respect to the renal outcomes associated with conventional EVAR using suprarenal fixation (SRF) vs. infrarenal fixation (IRF). Methods A search was conducted from major search indices (PubMed, Google Scholar and EMBASE) to identify relevant literature pertaining to renal outcomes in EVAR. Recent papers comparing SRF and IRF were evaluated and their findings discussed. Key Content and Findings The mechanism of renal function decline (RFD) following EVAR is uncertain and likely multifactorial. Aortic morphology, endograft type and surgical technique may all contribute to RFD. There is a significant degree of heterogeneity within the literature regarding study design and definitions of RFD. Recent literature suggests that RFD is more acute for SRF than IRF in the first post-operative year, but the clinical significance of this decline in patients with normal kidney function is questionable. Studies indicate that SRF is associated with accelerated RFD at 5 years, and that the RFD is worse in patients who are female and who have pre-existing renal insufficiency. Conclusions SRF is associated with a greater decline in renal function than IRF in both short- and long-terms. Although clinically insignificant in the short-term, the limited available long-term evidence suggests that SRF results in a relatively accelerated decline in renal function when compared to IRF, but it is possibly partially explained by the higher prevalence of advanced degenerative/atherosclerotic disease in SRF cohorts. These trends are noted particularly in female patients and in patients with baseline renal insufficiency.
Decentralized Vehicular Mobility Management Study for 5G Identifier/Locator Split Networks

The identifier/locator split (ILS) architectures are highly promising to reduce the signaling latency of frequent handovers in fifth generation (5G) networks, while decentralized vehicular mobility management holds greater potential than the traditional centralized management to enhance the critical performance of highly dynamic and dense cell networks. By carefully exploiting ILS, dual connectivity, and multiaccess edge computing (MEC) concepts, this paper proposes a decentralized vehicular mobility management mechanism in the network with dense 5G Non-Standalone deployment. Under such a mechanism, we design an ILS-based local anchor handover management architecture to reduce signaling costs and handover latency. Specifically, we propose a quality of service- (QoS-) based handover decision algorithm using a long short-term memory- (LSTM-) based trajectory prediction method to obtain the cell sojourn time of connected vehicles (CVs) in predefined QoS coverage areas. Combining a built-in dynamic handover trigger condition, this algorithm can ensure a flexible load balance as well as low handover times. Extensive simulation results are presented to verify the effectiveness of the proposed mechanism in improving network performance.
Measuring the Influence of Environmental Conditions on Automotive Lidar Sensors

Safety validation of automated driving functions is a major challenge that is partly tackled by means of simulation-based testing. The virtual validation approach always entails the modeling of automotive perception sensors and their environment. In the real world, these sensors are exposed to adverse influences by environmental conditions such as rain, fog, snow, etc. Therefore, such influences need to be reflected in the simulation models. In this publication, a novel data set is introduced and analyzed. This data set contains lidar data with synchronized reference measurements of weather conditions from a stationary long-term experiment. Recorded weather conditions comprise fog, rain, snow, and direct sunlight. The data are analyzed by pairing lidar values, such as the number of detections in the atmosphere, with weather parameters such as rain rate in mm/h. This results in expectation values, which can directly be utilized for stochastic modeling or model calibration and validation. The results show vast differences in the number of atmospheric detections, range distribution, and attenuation between the different sensors of the data set.
Studies on high performance rubber composites by incorporating titanium dioxide particles with different surface area and particle size

In this work, we incorporate titanium dioxide (TiO2) particles as fillers into room temperature vulcanized silicone rubber (RTV-SR) and fabricated the RTV-SR/TiO2 composites. Herein, the effect of various surface areas of TiO2 particles on the mechanical properties of RTV-SR/TiO2 composites was investigated. The particle size of different types of TiO2 particles (147 nm, 34 nm, and 29 nm) was measured by using scanning electron microscopy (SEM), whereas the Brunauer–Emmett–Teller (BET) surface area was measured through adsorption-desorption isotherms as 3, 50, and 145 m2/g, respectively. TiO2 particles reinforced RTV-SR composites were prepared by solution mixing method. TiO2 particles with smaller particle sizes and high BET surface area exhibited higher mechanical properties. The compressive moduli were obtained as 2.2 MPa for a virgin sample and increased to 2.6 MPa, 2.8 MPa and 3.24 MPa for 3, 50, and 145 m2/g samples respectively at 6 phr filler loading. Similarly, the fracture strain of the composite was 117% for a virgin sample and changed to 94%, 130%, and 205% for 3, 50, and 145 m2/g samples, respectively, at 8 phr filler loading. The surface area and particle size of the fillers showed significant effect on mechanical properties of the composites, but no significant effect was observed on the energy harvesting values of RTV-SR/TiO2 composites.
Point Cloud Registration With Object-Centric Alignment

Point cloud registration is a core task in 3D perception, which aims to align two point clouds. Moreover, the registration of point clouds with low overlap represents a harder challenge, where previous methods tend to fail. Recent deep learning-based approaches attempt to overcome this issue by learning to find overlapping regions in the whole scene. However, they still lack robustness and accuracy, and thus might not be suitable for real-world applications. Therefore, we present a novel registration pipeline that focuses on object-level alignment to provide a robust and accurate alignment of point clouds. By extracting and completing the missing points of the object of interest, a rough alignment can be achieved even for point clouds with low overlap captured from widely apart viewpoints. We provide a quantitative and qualitative evaluation on synthetic and real-world data captured with a Kinect v2. The proposed approach outperforms the current the current state-of-the-art methods by more than 29% w.r. t. the registration recall on the introduced synthetic dataset. We show that the overall performance and robustness increases due to the object-level alignment, while the baselines perform poorly as they take the entire scene into account.
The Chaperone System in Breast Cancer: Roles and Therapeutic Prospects of the Molecular Chaperones Hsp27, Hsp60, Hsp70, and Hsp90

Breast cancer (BC) is a major public health problem, with key pieces of information needed for developing preventive and curative measures still missing. For example, the participation of the chaperone system (CS) in carcinogenesis and anti-cancer responses is poorly understood, although it can be predicted to be a crucial factor in these mechanisms. The chief components of the CS are the molecular chaperones, and here we discuss four of them, Hsp27, Hsp60, Hsp70, and Hsp90, focusing on their pro-carcinogenic roles in BC and potential for developing anti-BC therapies. These chaperones can be targets of negative chaperonotherapy, namely the elimination/blocking/inhibition of the chaperone(s) functioning in favor of BC, using, for instance, Hsp inhibitors. The chaperones can also be employed in immunotherapy against BC as adjuvants, together with BC antigens. Extracellular vesicles (EVs) in BC diagnosis and management are also briefly discussed, considering their potential as easily accessible carriers of biomarkers and as shippers of anti-cancer agents amenable to manipulation and controlled delivery. The data surveyed from many laboratories reveal that, to enhance the understanding of the role of the CS in BS pathogenesis, one must consider the CS as a physiological system, encompassing diverse members throughout the body and interacting with the ubiquitin–proteasome system, the chaperone-mediated autophagy machinery, and the immune system (IS). An integrated view of the CS, including its functional partners and considering its highly dynamic nature with EVs transporting CS components to reach all the cell compartments in which they are needed, opens as yet unexplored pathways leading to carcinogenesis that are amenable to interference by anti-cancer treatments centered on CS components, such as the molecular chaperones.
STRATEGI KEBIJAKAN PENANGANAN STUNTING PROPINSI JAWA BARAT DI MASA PANDEMI COVID 19 (ANALISIS IMPLEMENTASI DAN SOLUSI) STRATEGY OF STUNTING HANDLING POLICY IN WEST JAVA PROVINCE DURING THE COVID-19 PANDEMI (ANALYSIS OF IMPLEMENTATION AND SOLUTION)

ABSTRACT Stunting in Indonesia has an equitably high prevalence. Indonesia is projected to experience peak productive population growth with a demographic bonus in 2035. However, this demographic bonus will not be useful or will even become a state burden if current under five high prevalence of stunting is not corrected. Stunting causes economic losses of 2-3% of Gross Domestic Product (GDP). Based on world bank data, Indonesia's GDP was 13,000 trillion in 2017, so the loss due to stunting was estimated at 260-390 trillion. Role of each region in contributing to stunting rates is also diverse, one of which is West Java Province, one of the provinces with the largest population in Indonesia. Efforts to reduce stunting rate in West Java have become even more difficult during the COVID-19 pandemic, where 83.9% of immunization services are estimated to be disrupted, and it is also estimated that the stunting rate will increase after this pandemic. Therefore, it is necessary to analyse the implementation strategy of stunting handling policy in West Java Province. The purpose of this study was to explore the real conditions of the policy implementation, so that it could be input to relevant stakeholders. This study used a qualitative approach. Data collection techniques were carried out by collecting secondary data, observation, and interviews. The results of the study showed that the content, process, context, and actors as the elements in the implementation of stunting handling policies in West Java worked in synergy with each other. Besides the four elements, leadership was another very important element. Leadership in West Java really determined the optimal role of content, process, context, and actors’ elements.Keywords: strategy, policy implementation, stunting, West Java Province
Strategies to improve collaboration in a problem-based learning environment : Alien Rescue

Abstract: There is an ever growing need to research and develop pedagogical strategies that cater to the 21st-century skills. Problem-Based Learning (PBL) is one such instructional strategy. There are currently many PBL environments, but for this report, I use a PBL environment called ‘Alien Rescue’ as an example. PBL has many goals that it wishes to achieve. In this report, I highlight the importance of ﬁve such goals. I then review the practices in Alien Rescue to see which goals it supports the best and which goal could need improvements. I then choose to focus on one of the very important goals, namely, collaboration. I again review the literature to ﬁnd strategies that support collaborative learning in PBL. Finally, I contextualize these strategies to Alien Rescue. I make speciﬁc suggestions that will improve collaboration, o ↵ er implementation tactics for these suggestions, and also give ways to evaluate the e ↵ ectiveness of the suggestions in Alien Rescue. I hope to help in the research and development process of Alien Rescue with this report.
Periodicity-Enabled Size Reduction of Symbol Based Predistortion for High-Order QAM

We experimentally demonstrate a novel size reduction approach for symbol-based look-up table (LUT) digital predistortion (DPD) of the transmitter impairments taking advantage of the periodicity in the pattern-dependent distortions. Compared to other reduced-size LUT schemes, the proposed method can significantly lessen the storage memory requirements with negligible performance penalty for high-order modulation formats. To further alleviate the storage memory restriction, a twice reduced-size LUT scheme is proposed to provide further size reduction. Importantly, given a targeted memory length, we verify the importance of averaging over sufficient occurrences of the patterns to obtain a well-performing LUT. Moreover, it is necessary to evaluate the performance of LUT-based DPD using random data. Finally, we demonstrate a neural network (NN) based nonlinear predistortion technique, which achieves nearly identical performance to the full-size LUT for all employed constellations and is robust against a change of modulation format. The proposed techniques are verified in a back-to-back transmission experiment of 20 Gbaud 64-QAM, 256-QAM, and 1024-QAM signals considering 3 and 5 symbol memory. The performance of the LUT-based DPD is further validated in a noise loading experiment.
Comparative analysis of haematological, biochemical and nutritional parameters of Dezhou donkey with healthy and weak foals (Equus asinus)

Abstract The study was conducted to compare the haematological, biochemical and nutritional parameters between healthy foals (HF) and weak foals (WF, malformation, lameness and drooping ears), and between the corresponding female donkeys to provide a reference for the assessment of healthy status. A total of 34 donkeys with HF (DHF) and 34 with WF (DWF) were selected. Compared to HF, WF had higher leukocyte, neutrophil, platelets (PLT) and the percentage of neutrophil, and their corresponding female donkeys showed the similar tendency; WF had lower birth weight and body measurements. The concentrations of serum urea, total protein, aspartate aminotransferase (AST), alanine aminotransferase (ALT), total cholesterol (TC), low-density lipoprotein cholesterol, β-hydroxybutyric acid (BHBA) and non-esterified fatty acid (NEFA) were increased in WF compared with HF, whereas serum glucose (GLU) was decreased. The concentrations of serum urea, total protein, AST, alkaline phosphatase (ALP), BHBA, NEFA, calcium and phosphorus were increased in DWF compared with DHF, whereas serum albumin (ALB), GLU, kalium, chromium, iron, manganese, lead and zinc were decreased. The hair concentrations of minerals had the same tendency as well, but calcium concentration of hair was opposite. There were significant correlations of kalium, copper, iron and zinc contents between serum and hair. In plasma, the contents of threonine, glutamic acid, alanine, arginine in DWF were greater than DHF, whereas valine content was lower. In conclusion, there were significant differences in some haematological, biochemical and nutritional parameters, which suggested that the malnutrition of the corresponding female donkeys was probably responsible for malformation, lameness and drooping ears of foals. Highlights Weak foals (WF) had higher leukocyte and neutrophil count, platelets (PLT) and the percentage of neutrophil than healthy foals (HF), and their corresponding female donkeys showed the similar tendency. WF had higher concentrations than HF in serum urea, total protein, aspartate aminotransferase (AST), alkaline phosphatase (ALP), β-hydroxybutyric acid (BHBA), non-esterified fatty acid (NEFA), but had lower concentration in serum glucose (GLU), and their corresponding female donkeys showed the similar tendency. Donkeys with WF had higher concentrations of threonine, glutamic acid, alanine, arginine in plasma than donkeys with HF, but lower concentrations of valine in plasma and some mineral elements in serum and hair.
New Insights into TRP Ion Channels in Stem Cells

Transient receptor potential (TRP) ion channels are cationic permeable proteins located on the plasma membrane. TRPs are cellular sensors for perceiving diverse physical and/or chemical stimuli; thus, serving various critical physiological functions, including chemo-sensation, hearing, homeostasis, mechano-sensation, pain, taste, thermoregulation, vision, and even carcinogenesis. Dysregulated TRPs are found to be linked to many human hereditary diseases. Recent studies indicate that TRP ion channels are not only involved in sensory functions but are also implicated in regulating the biological characteristics of stem cells. In the present review, we summarize the expressions and functions of TRP ion channels in stem cells, including cancer stem cells. It offers an overview of the current understanding of TRP ion channels in stem cells.
Alors on lit ? La littérature jeunesse à la portée des enfants à besoins complexes de communication grâce à la lecture interactive et à la communication alternative et/ou améliorée

Research has shown that 90% of children with complex communication needs (CCN) reach adulthood without functional skills in literacy. The intervention program presented in this article to help children with CCN to acquire these skills and common vocabulary through AAC. In this program, children books are read, repeatedly, to young children with CCN by using different modes of communication (wri tten words that are read aloud, gestures, pictograms and an application with speech output on a tablet). Each reading session was designed to allow specific and progressive learning processes. The child can use the code(s) corresponding to his/her needs and abilities, which promotes interactions based on the book.
Encefalitis del tallo cerebral y mielitis por Listeria monocytogenes

Brainstem encephalitis caused by Listeria monocytogenes is an uncommon form of central nervous system listeriosis; however, it is the most common presentation in immunocompetent individuals. Here, we describe an even more rare combination of rhombencephalitis with severe myelitis caused by L. monocytogenes in an immunocompetent patient. We report the case of a 21-year-old immunocompetent patient who consumed unpasteurized dairy products and experienced headache and vomiting that progressed to an impaired general condition, altered consciousness and ultimately death. The patient had presented to the Neurological Institute of Colombia (INDEC in Spanish) for consultation and was diagnosed with brainstem encephalitis and myelitis caused by Listeria monocytogenes . The differences between this particular case and those reported in the literature will be discussed. It is advisable to initiate antibiotic treatment for Listeria monocytogenes if a patient shows signs of brainstem compromise of possible infectious origin and quickly intensify treatment if there is no or minimal response. It is also necessary to extend radiological assessment to include the spinal column to rule out spinal cord involvement.