Miracle-dz/UniFAR-FTUs huggingface dataset:
On Low-Resolution ADCs in Practical 5G Millimeter-Wave Massive MIMO Systems

Nowadays, mmWave MIMO systems are favorable candidates for 5G cellular systems. However, a key challenge is the high power consumption imposed by its numerous RF chains, which may be mitigated by opting for low-resolution ADCs, while tolerating a moderate performance loss. In this article, we discuss several important issues based on the most recent research on mmWave massive MIMO systems relying on low-resolution ADCs. We discuss the key transceiver design challenges, including channel estimation, signal detector, channel information feedback and transmit precoding. Furthermore, we introduce a mixed-ADC architecture as an alternative technique of improving overall system performance. Finally, the associated challenges and potential implementations of the practical 5G mmWave massive MIMO system with ADC quantizers are discussed.
Finite element simulations to evaluate deformation of polyester tubular braided structures

The use of narrow tubular braided structures for biological tissue support has made it possible to produce highly flexible and robust soft tissue reinforcement structures. These attributes make the braids ideal in supporting ruptured and broken tissues during healing and regeneration. There have been continued efforts to improve the design in order to reinforce tissues while still maintaining their flexibility; this has been undertaken by exploring the deformation behavior of these structures. Mechanical modeling, which provides an in-depth understanding of the deformation mechanism of structures, plays an important role in designing structural changes in tubular braids. This paper reports the results of numerical and experimental investigations into the radial contraction and deformation mode of two types of tubular braided fabrics—single and double braided—subjected to uniaxial tensile loading under quasi-static conditions. Realistic geometrical structures were developed for mechanical modeling of tubular braids in terms of tensile loads, elongation, radial contraction and braid angle. The results indicated that there was a good match between experimental and simulated tensile behavior of the braided structures. It was established that the amount of braided yarns within the structure had the likelihood of influencing the radial contraction and braid angle in the braided structure under uniaxial tensile deformation. The results portrayed that braided structures would undergo large deformations at low loads. It was also established that there would be more structural stability as the yarns increased, evidenced by more loads in the double-braided structure as compared to the single-braided tubular structure.
AFCEE PROTOCOL FOR ENHANCED ANAEROBIC BIOREMEDIATION USING EDIBLE OILS

Distribution of edible oils in the subsurface is a very promising approach for stimulating in situ biodegradation of chlorinated solvents and other anaerobically bio- degradable contaminants (e.g., nitrate, perchlorate, RDX, etc.). The oil provides a slow- release carbon source and electron donor to support long-term anaerobic biodegradation. In addition, chlorinated solvents will partition into the oil, reducing the mass flux of dissolved contaminants and the risk to downgradient receptors. Capital costs for this approach are expected to be much lower than competing technologies since most of the injection equipment can be reused at multiple sites. Long-term operation and mainte- nance costs should also be lower since much less frequent substrate addition would be required. To aid users of this process, the Air Force Center for Environmental Excellence (AFCEE) has developed a detailed technical protocol for design, field implementation and monitoring of edible oil bioremediation projects. This protocol provides detailed guidance on: (1) the effects of edible oils on the fate and transport of chlorinated solvents in the subsurface; (2) approaches for source area treatment and barrier installation; (3) methods for distribution of edible oils as a NAPL or as an oil- in- water emulsion; and (4) pilot test planning, execution and data analysis. Design i ssues addressed in the pro- tocol include: (a) determining the amount of oil to inject and area to be treated (barrier length, width, and depth); (b) identifying the best approach for distributing the oil includ- ing appropriate injection point spacing, volume of chase water, injection pressure and flow rate; and (c) the effect of oil injection on formation permeability, soil gas emissions, and downgradient water quality. BACKGROUND Enhanced anaerobic bioremediation can be a cost-effective approach for treating a variety of groundwater contaminants including certain heavy metals, nitrate, perchlorate, acid mine drainage and chlorinated organics. Chlorinated solvents amenable to in situ anaerobic bioremediation include tetrachloroethene (PCE), trichloroethene (TCE), cis-
14-3-3ζ Overexpression is Associated with Poor Prognosis in Ovarian Cancer

Purpose 14-3-3ζ regulates cell signaling, cell cycle progression, and apoptosis, and its overexpression is associated with disease recurrence and poor clinical outcomes in some solid tumors. However, its clinicopathological role in ovarian cancer is unknown. Our goal was to investigate whether 14-3-3ζ is associated with ovarian cancer prognosis. Materials and Methods We examined 14-3-3ζ expression by immunohistochemistry in ovarian cancer tissues obtained from 88 ovarian cancer patients. The examined tissues were of various histologies and stages. 14-3-3ζ expression was also analyzed by western blot in seven ovarian cancer cell lines and a primary ovary epithelial cell line. Cell viability was measured using an MTS-based assay following cisplatin treatment. Results Among the ovarian cancer samples, 53.4% (47/88) showed high 14-3-3ζ expression, and 14-3-3ζ overexpression was positively correlated with more advanced pathologic stages and grades. 14-3-3ζ overexpression was also significantly associated with poor disease-free survival (DFS) and overall survival (OS) of ovarian cancer patients. Median DFS and OS were 1088 and 3905 days, respectively, in the high 14-3-3ζ expression group, but not reached in the low 14-3-3ζ expression group (p=0.004 and p=0.033, log-rank test, respectively). Downregulating 14-3-3ζ by RNA interference in ovarian cancer cells led to enhanced sensitivity to cisplatin-induced cell death. Conclusion 14-3-3ζ overexpression might be a potential prognostic biomarker for ovarian cancer, and the inhibition of 14-3-3ζ could be a therapeutic option that enhances the antitumor activity of cisplatin.
Inferior tarsal muscle-conjunctivectomy for reverse ptosis repair: A novel technique

ABSTRACT We describe a new technique for treatment of reverse ptosis in a patient with Horner Syndrome by means of excision of conjunctiva and inferior tarsal muscle. Surgery with eversion of inferior ptotic eyelid, placement of the Putterman ptosis clamp on the conjunctiva under inferior tarsus, suturing under incarcerated tissue and resection of 6mm of conjunctiva and inferior tarsal muscle was done under local anaesthesia in a short operating time with good cosmetic results without eyelid malposition or skin scar.
When Is Hub Gene Selection Better than Standard Meta-Analysis?

Since hub nodes have been found to play important roles in many networks, highly connected hub genes are expected to play an important role in biology as well. However, the empirical evidence remains ambiguous. An open question is whether (or when) hub gene selection leads to more meaningful gene lists than a standard statistical analysis based on significance testing when analyzing genomic data sets (e.g., gene expression or DNA methylation data). Here we address this question for the special case when multiple genomic data sets are available. This is of great practical importance since for many research questions multiple data sets are publicly available. In this case, the data analyst can decide between a standard statistical approach (e.g., based on meta-analysis) and a co-expression network analysis approach that selects intramodular hubs in consensus modules. We assess the performance of these two types of approaches according to two criteria. The first criterion evaluates the biological insights gained and is relevant in basic research. The second criterion evaluates the validation success (reproducibility) in independent data sets and often applies in clinical diagnostic or prognostic applications. We compare meta-analysis with consensus network analysis based on weighted correlation network analysis (WGCNA) in three comprehensive and unbiased empirical studies: (1) Finding genes predictive of lung cancer survival, (2) finding methylation markers related to age, and (3) finding mouse genes related to total cholesterol. The results demonstrate that intramodular hub gene status with respect to consensus modules is more useful than a meta-analysis p-value when identifying biologically meaningful gene lists (reflecting criterion 1). However, standard meta-analysis methods perform as good as (if not better than) a consensus network approach in terms of validation success (criterion 2). The article also reports a comparison of meta-analysis techniques applied to gene expression data and presents novel R functions for carrying out consensus network analysis, network based screening, and meta analysis.
Evaluating Word String Embeddings and Loss Functions for CNN-Based Word Spotting

The recent past has seen CNNs take over the field of word spotting. The dominance of these neural networks is fueled by learning to predict a word string embedding for a given input image. While the PHOC (Pyramidal Histogram of Characters) is most prominently used, other embeddings such as the Discrete Cosine Transform of Words have been used as well. In this work, we investigate the use of different word string embeddings for word spotting. For this, we make use of the recently proposed PHOCNet and modify it to be able to not only learn binary representations. Our extensive evaluation shows that a large number of combinations of word string embeddings and loss functions achieve roughly the same results on different word spotting benchmarks. This leads us to the conclusion that no word string embedding is really superior to another and new embeddings should focus on incorporating more information than only character counts and positions.
Study on microarc oxidation processes for Mg alloy

In order to optimize the production regime for microarc oxidation coating of required thickness on Mg alloy,the orthogonal design was made to select best microarc oxidation process parameters.The thickness and microhardness of each tested microarc oxidation coatings were examined to evaluate the influence of each factor by synthetical equity.Results of XRD,SEM and EDS showed that Mg alloy were coated with a uniform,thickness over 30 μm and silver-gray ceramic coating which was composed of MgAl2O4 and little MgO and Al2O3 from a solution with 100 g/L NaOH,40 g/L aluminate,at 35 voltage and at 35 ℃ after 60 minutes micarc oxidation.The coating could be separated to a compact layer and a loose layer.The results of hardness and corrosion test also indicated the ceramic coating had higher hardness and better corrosion resistance than Mg alloy substrate.
Dynamics of chromatin marks and the role of JMJD3 during pancreatic endocrine cell fate commitment

ABSTRACT Pancreatic endocrine lineages are derived from pancreatic progenitors that undergo a cell fate transition requiring a switch from low to high Ngn3 expression. However, the underlying chromatin regulatory mechanisms are unclear. Here, we performed epigenomic analysis of gene regulatory loci featuring histone marks in cells with low or high level of Ngn3 expression. In combination with transcriptomic analysis, we discovered that in Ngn3-high cells, the removal of H3K27me3 was associated with the activation of key transcription factors and the establishment of primed and active enhancers. Deletion of Jmjd3, a histone demethylase for H3K27me3, at the pancreatic progenitor stage impaired the efficiency of endocrine cell fate transition and thereafter islet formation. Curiously, single-cell RNA-seq revealed that the transcriptome and developmental pathway of Ngn3-high cells were not affected by the deletion of Jmjd3. Our study indicates sequential chromatin events and identifies a crucial role for Jmjd3 in regulating the efficiency of the transition from Ngn3-low to Ngn3-high cells. Summary: Epigenomic and transcriptomic analyses reveal that the histone demethylase Jmjd3 regulates the transition from Ngn3-low to Ngn3-high cells, a key event in deriving pancreatic endocrine progenitors.
BUCCO-ADHESIVE DELIVERY SYSTEM FOR AN ANTI-MIGRAINE DRUG: IN-VITRO/EX-VIVO EVALUATION

Mucoadhesion was employed for improving performance and bioavailability of many drugs. Different dosage forms were developed based on this principle. This study aims to prepare bucco-adhesive tablets of anti-migraine drug zolmitriptan as a suitable candidate for improving its oral bioavailability and therapeutic efficacy and to evaluate them for many pre/post-formulation parameters in-vitro/exvivo. The bucco-adhesive tablets containing 2.5 mg zolmitriptan were prepared using carbopol 934LR as a primary polymer alone or in combination with chitosan or xanthan gum as secondary polymers by direct compression. Drug-excipients compatibility and micromeritics study were carried out. Tablets were evaluated for physico-chemical parameters, surface pH, ex-vivo residence time, in-vitro swelling study, ex-vivo mucoadhesive strength, in-vitro drug release study, ex-vivo permeation study and physical stability in human saliva. No interactions were found between drug and excipients. Tablets had good physico-chemical characters. Formulation containing carbopol 934LR and chitosan in a ratio of 1: 3 approximately was the optimum one. It swelled by only 37.67±0.65% after 5 h and showed a nearly neutral surface pH. Ex-vivo residence time was long enough for delivery of the drug for more than 8 h. Ex-vivo mucoadhesive strength was 32.7±2.1 g. Drug release was 86.93±3.73 % after 7 h following zero order kinetics and permeation flux was 0.045 mg/cm 2 h. Tablets were physically stable
Evaluation of NeuroPage as a memory aid for people with multiple sclerosis: A randomised controlled trial

ABSTRACT Memory problems are reported in 40%–60% of people with multiple sclerosis (MS). These problems affect independence and may limit the ability to benefit from rehabilitation. Our aim was to evaluate the effectiveness of NeuroPage for people with MS living in the community. A multicentre, single-blind, randomised controlled crossover trial was conducted. The intervention comprised the NeuroPage service, which sends reminder messages to mobile phones at pre-arranged times. In the control condition participants received “non-memory texts”, that is, messages not aimed at providing a reminder; for example, supplying news headlines or sport updates. Outcome measures were completed using postal questionnaires after each condition. There were 38 participants aged 28 to 72 (mean 48, SD 11) and 10 (26%) were men. There were no significant differences between NeuroPage and control conditions on the Everyday Memory Questionnaire (p = 0.41, d = 0.02). The number of daily diary items forgotten in the NeuroPage condition was significantly less than in the control (9% vs. 31%, p = 0.01, d = −0.64). Psychological distress was less in the NeuroPage condition than control (p = 0.001, d = −0.84). Further evaluation of the effect on everyday memory is required.
Let the Cat Out of the Bag: A Holistic Approach Towards Security Analysis of the Internet of Things

The exponential increase of Internet of Things (IoT) devices have resulted in a range of new and unanticipated vulnerabilities associated with their use. IoT devices from smart homes to smart enterprises can easily be compromised. One of the major problems associated with the IoT is maintaining security; the vulnerable nature of IoT devices poses a challenge to many aspects of security, including security testing and analysis. It is trivial to perform the security analysis for IoT devices to understand the loop holes and very nature of the devices itself. Given these issues, there has been less emphasis on security testing and analysis of the IoT. In this paper, we show our preliminary efforts in the area of security analysis for IoT devices and introduce a security IoT testbed for performing security analysis. We also discuss the necessary design, requirements and the architecture to support our security analysis conducted via the proposed testbed.
The CASIA Phrase-Based Machine Translation System

In this paper we propose a phrase-based translation system. In the system, we use phrase translation model instead of word-based model. An improved method to compute phrase translation probability is studied. A phrase-based decoder we developed employs a beam search algorithm, in which some target language words that have both high frequency of appearance and also fertility zero are introduced to make the result more reasonable. We improve the previously proposed tracing back algorithm to get the best path. Some experiments concerned are presented.
Affective and physiological response to a novel parent–adolescent conflict stressor

Abstract Few laboratory paradigms exist that expose adolescents to conflict that might commonly be experienced in parent–adolescent relationships. Given the continued importance of parent–adolescent relationships on adolescent development, as well as the changing expectations in these relationships, we examined the effect of a novel parent–adolescent conflict paradigm on physiological and affective response in a sample of 52 adolescents. The parent–adolescent conflict stressor (PACS) involved adolescent participants (50% girls; M = 14.75, SD = 0.88) watching a 12-minute scripted video that asked youth to imagine that they were the teenager in the video, which consisted of parent and adolescent actors having discussions about conflict in their relationship and solving this conflict in either a positive, typical, or hostile manner. Cortisol, alpha amylase, and self-report of negative and positive affect were collected at baseline, following the video, and during a recovery period. Heart rate also was taken continuously while adolescents watched the videos. Hierarchical linear modeling (HLM) analyses indicated significant linear change in alpha amylase and linear and quadratic change in negative affect to the PACS. There also was a significant linear and quadratic change in heart rate during the portion of the video where teens and parents discussed issues of personal responsibility. The PACS marks a preliminary but important first step in developing a parent–adolescent conflict paradigm that can be used across studies to understand the impact of parent–adolescent conflict on affective and physiological markers associated with stress response.
Biomimetic Micropatterning of Electrospun Scaffolds for Tissue Engineering

The nanostructure of the extracellular matrix (ECM) can direct cell attachment, alignment, and organization. Similarly, ECM microstructures such as tubes and branched networks organize cells into larger functional units. To mimic this complex cellular microenvironment in tissue engineered scaffolds, we need new fabrication methods capable of constructing structures on both the nano- and micro-scale. Furthermore, these methods should be compatible with a variety of biomaterials to allow tailoring of mechanical and degradation properties. Electrospinning is a useful technique for creating fibrous scaffolds, but there have been few reports introducing microstructures. This dissertation describes the development of a new versatile fabrication approach that combines electrospinning with a fused deposition modeling (FDM) 3D printer to create microstructures that mimic tissues. We hypothesized that these structures would improve cell migration and positioning within electrospun scaffolds. We tested this hypothesis by patterning scaffolds for peripheral nerves and microvascular networks. We first demonstrate the feasibility of templated electrospinning for generating linear channels in fibrous nerve guides that mimic the endoneurial/fascicular tubes of nerve and promote faster Schwann cell infiltration. This micropatterning technique was combined with FDM production of branched templates to create microvascular networks within fibrous scaffolds. Finally, material properties were improved by developing a technique to fabricates scaffolds with electrospun poly(glycerol sebacate)(PGS).
Use of Artificial Neural Networks for Modelling the Drape Behaviour of Woollen Fabrics Treated with Dry Finishing Processes

The relationship between fabric drape, low stress mechanical properties and finishing processes is relatively complex. This paper demonstrates the possibility of using artificial neural networks to identify the fabric drape of woollen fabrics treated with different dry fin ishing processes (stenter, decatising, superfinish, formula, KADE strong/weak - autoclave decatizing). The mechanical and surface properties of woollen fabrics were measured by both the KES-FB and FAST systems, and then the results obtained were applied to artifi cial neural network (ANN) modelling. ANN models were compared by verifying the Mean Square Error (MSE) and Correlation coefficient (R-value). The results indicated that each model is capable of making quantitatively accurate drape behaviour predictions for wool fabrics (Rmin = 0.92, MSEmin = 0).