ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Enhancing Inclusivity for LGBTQIA+ Student Survivors of Color Commentary: Creating a University Strategic Plan to Address Relationship Violence and Sexual Misconduct (RVSM): An Application of Principles-Focused Evaluation at Michigan State University

Campbell and colleagues propose a robust and rigorous strategic model to address and reduce Relationship Violence and Sexual Misconduct (RVSM) at Michigan State University, which significantly advances the field of RVSM prevention and education, particularly for survivors belonging to marginalized populations. While prior efforts have addressed RVSM on college and university campuses, Campbell and colleagues' model is groundbreaking in its ability to reduce RVSM against lesbian, gay, bisexual, transgender, queer/questioning, intersex, and asexual/agender (LGBTQIA+) students of color, by its principles of intersectional and trauma-informed action. This commentary highlights the contributions of Campbell et al.'s model and provides recommendations for enhancing programming and postassault services by addressing the totality of LGBTQIA+ survivors of color's identities.
Variation-Aware Delay Fault Testing for Carbon-Nanotube FET Circuits

Sensitivity to process variations and manufacturing defects are major showstoppers for the high-volume manufacturing of carbon nanotube field-effect transistors (CNFETs). These imperfections affect gate delay and may remain undetected when test patterns obtained using conventional test-generation techniques are used. We propose a new test generation method that takes CNFET-specific process variations into account and identifies multiple testable long paths through each node in a netlist. In contrast to state-of-the-art techniques, our method can also handle variations that have a nonlinear impact on the propagation delay. The generated test patterns ensure the detection of delay faults through the longest path, even under random CNFET process variations. The proposed method shows significant improvement in the statistical delay quality level (SDQL) compared with a state-of-the-art technique and a commercial ATPG tool for multiple benchmarks. We observed a minimum of 17.1% improvement in the SDQL offered by our patterns over a test set of the same size generated by the commercial tool. We also show that our method, when integrated with the conventional transition fault test flow, offers a significant improvement in the quality of test patterns under random variations. Moreover, the proposed method is flexible and can be easily extended to other emerging device technologies.
Complete mitochondrial genomes of Thyreophagus entomophagus and Acarus siro (Sarcoptiformes: Astigmatina) provide insight into mitogenome features, evolution, and phylogeny among Acaroidea mites

Mites from the Acaroidea (Sarcoptiformes: Astigmatina) are important pests of various stored products, posing potential threats to preserved foods. In addition, mites can cause allergic diseases. Complete mitochondrial genomes (mitogenomes) are valuable resources for different research fields, including comparative genomics, molecular evolutionary analysis, and phylogenetic inference. We sequenced and annotated the complete mitogenomes of Thyreophagus entomophagus and Acarus siro. A comparative analysis was made between mitogenomic sequences from 10 species representing nine genera within Acaroidea. The mitogenomes of T. entomophagus and A. siro contained 37 genes, including 13 protein-coding genes (PCGs), 22 transfer RNAs (tRNAs), two ribosomal RNAs (rRNAs), and one control region. In Acaroidea species, mitogenomes have highly conserved gene size and order, and codon usage. Among Acaroidea mites, most PCGs were found to be under purifying selection, implying that most PCGs might have evolved slowly. Our findings showed that nad4 evolved most rapidly, whereas cox1 and cox3 evolved most slowly. The evolutionary rates of Acaroidea vary considerably across families. In addition, selection analyses were also performed in 23 astigmatid mite species, and the evolutionary rate of the same genes in different superfamilies exhibited large differences. Phylogenetic results are mostly consistent with those identified by previous phylogenetic studies on astigmatid mites. The monophyly of Acaroidea was rejected, and the Suidasiidae and Lardoglyphidae appeared to deviate from the Acaroidea branch. Our research proposed a review of the current Acaroidea classification system.
Low power HEVC software decoder for mobile devices

In the context of mobile handheld devices, energy consumption is a primary concern and the process of video decoding is often among the most resource-intensive applications. Recent embedded processors are equipped with advanced features such as dynamic voltage frequency scaling (DVFS) in order to reduce their power consumption. These features can be used to perform low power video decoding when no hardware decoding support is available for a given standard. High efficiency video coding (HEVC) is a recent video standard offering state-of-the-art compression rates and advanced parallel processing solutions. This paper presents strategies for the power optimization of a real-time software HEVC decoder on NEON architecture. These strategies include the exploitation of data and task-level parallelism, as well as the use of a new frequency control system to optimize the processor DVFS, based on an estimation of the decoding complexity. Extensive power measurement results, based on a multi-core ARM big.LITTLE processor, are provided and compared to state-of-the-art. These results show that the proposed open-source implementation can reach an energy consumption below 21 nJ/px for HD decoding at 2.2 Mbits/s.
The agony of choice: Impact of the host animal species on the enzyme-linked immunosorbent assay performance for host cell protein quantification

Host cell proteins (HCPs) are inevitable process-related impurities in biotherapeutics commonly monitored by enzyme-linked immunosorbent assays (ELISAs). Of particular importance for their reliable detection are the anti-HCP polyclonal antibodies (pAbs), supposed to detect a broad range of HCPs. The present study focuses on the identification of suitable host animal species for the development of high-performance CHO-HCP ELISAs, assuming the generation of pAbs with adequate coverage and specificity. Hence, antibodies derived from immunization of sheep, goats, donkeys, rabbits, and chickens were compared concerning their amount of HCP-specific antibodies, coverage, and performance in a sandwich ELISA. Immunization of sheep, goats, donkeys, and rabbits met all test criteria, whereas the antibodies from chickens cannot be recommended based on the results of this study. Additionally, a mixture of antibodies from the five host species was prepared to assess if coverage and ELISA performance can be improved by a multispecies approach. Comparable results were obtained for the single- and multispecies ELISAs in different in-process samples, indicating no substantial improvement for the latter in ELISA performance while raising ethical and financial concerns.
Same-day and rapid initiation of antiretroviral therapy in people living with HIV in Asia. How far have we come?

Human immunodeficiency virus (HIV) continues to be a major public health issue, and the effectiveness of HIV prevention, diagnosis, treatment, and care varies, particularly in the Asia-Pacific region. The rapid initiation of antiretroviral therapy (ART) is important to control the HIV epidemic and to optimize the health of people living with HIV; many guidelines now recommend ART initiation within 7 days of HIV diagnosis, with same-day initiation for people diagnosed with HIV who feel ready. Many countries in the Asia-Pacific region have already implemented or are moving towards implementation of rapid or same-day ART initiation. However, there are many obstacles and challenges to its implementation, which vary substantially across the region. This article summarizes the latest evidence on rapid and same-day ART initiation and discusses lessons learned and barriers to implementation in Asian countries, particularly focusing on Taiwan, Thailand, Singapore, and the Republic of Korea.
Sparse tree structured representation for re-identification

Finding substantial features for image representation is one of the keys to cope with the challenges of person re-identification given video streams. The important features for re-identification can be found by image saliency computation and subject appearance modeling. State-of-the-art models explore this direction by balancing between the global low-level features and the features from local patches. We proposed a novel nested patch tree for a tree structured feature representation, and the feature representation is used to match between a probe image and a gallery image to solve the re-identification problem. The feature representation is learned based on an unsupervised approach, which is different from the majority of the community when they work on finding similar subjects. Usually, the video streams for the same figure may have highly repetitive information, and the pseudo repetitiveness should be useful for a center-learning based method. We further improve the prediction accuracy by learning components by components for the same subject and working in the multi-color space. We evaluate the proposed method for person re-identification on the VIPeR and GRID datasets. The result shows that the proposed method is indeed superior to other state-of-the-art methods. (C) 2016 Elsevier Ltd. All rights reserved.
Effects of pre-slaughter showering and ventilation on stress, meat quality and metabolite concentrations of broilers in summer

Effects of pre-slaughter showering and ventilation on stress, meat quality and energy metabolism of broilers in summer were investigated. After transport, 84 Arbor Acres broilers were randomly divided into four treatment groups: (i) control group without ventilation and showering (C); (ii) 10 min ventilation without showering (VWS); (iii) 10 min showering without ventilation (SWV); (iv) 5 min showering and then 5 min ventilation (SV). Compared with the control group, plasma lactate dehydrogenase and creatine kinase activities in the other three treatment groups were (P < 0.05) lower; however, the plasma glucose level did not show any significant changes among all the groups. The breast meat in the SV group had significantly (P < 0.05) higher pHu , glycogen content, lower L*, ΔpH, drip loss, cook loss, R-value and lactate content than the control group; however, there was no significant difference in shear force values among all the groups. In conclusion, this study indicated broilers in the SV group showed a lower stress level and greater meat quality, which suggest that showering and ventilation after transportation may be a good measure to relieve stress caused by transport under high temperature and improve the meat quality of broilers.
Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems

In this paper, we study aspects of single microphone speech enhancement (SE) based on deep neural networks (DNNs). Specifically, we explore the generalizability capabilities of state-of- the-art DNN-based SE systems with respect to the background noise type, the gender of the target speaker, and the signal-to-noise ratio (SNR). Furthermore, we investigate how specialized DNN-based SE systems, which have been trained to be either noise type specific, speaker specific or SNR specific, perform relative to DNN-based SE systems that have been trained to be noise type general, speaker general, and SNR general. Finally, we compare how a DNN-based SE system trained to be noise type general, speaker general, and SNR general performs relative to a state-of-the- art short-time spectral amplitude minimum mean square error (STSA-MMSE) based SE algorithm. We show that DNN-based SE systems, when trained specifically to handle certain speakers, noise types and SNRs, are capable of achieving large improvements in estimated speech quality (SQ) and speech intelligibility (SI), when tested in matched conditions. Furthermore, we show that improvements in estimated SQ and SI can be achieved by a DNN-based SE system when exposed to unseen speakers, genders and noise types, given a large number of speakers and noise types have been used in the training of the system. In addition, we show that a DNN-based SE system that has been trained using a large number of speakers and a wide range of noise types outperforms a state-of-the- art STSA-MMSE based SE method, when tested using a range of unseen speakers and noise types. Finally, a listening test using several DNN-based SE systems tested in unseen speaker conditions show that these systems can improve SI for some SNR and noise type configurations but degrade SI for others.
Spillover and crossover effects of working time demands on work-life balance satisfaction among dual-earner couples: the mediating role of work-family conflict

To examine the spillover and crossover effects of working time demands (specifically, work contact in leisure time, evening work, and long work hours) on satisfaction with work-life balance among dual-earner couples, path analyses were conducted using data from the 2017/2018 German Family Panel (pairfam; N = 1,053 dual-earner couples). Working time demands were measured based on (a) answering work emails/phone calls in leisure time, (b) evening work, and (c) weekly work hours. High working time demands impaired workers' work-life balance satisfaction due to higher levels of work-life conflict. They indirectly affected partners' work-life balance satisfaction through two pathways: (a) workers' and partners' work-life conflict and (b) workers' work-life conflict and work-life balance satisfaction. These findings indicate that high working time demands negatively impact the work-life balance satisfaction of workers and their partners because of work-life conflict experienced either by the workers only or by both partners. In an increasingly digitalized labor market, measures are needed to reduce working time demands-and thus work-life conflict-for workers and their partners.
Estimation of Maximum Speed-Up in Multicore-Based Mobile Devices

This letter proposes an effective speed-up estimation method for modern mobile devices. Unlike existing approaches, the proposed method uses a task graph to extract multiple parallelizable fractions of real-world mobile scenarios. Then, it uses the extracted parallelizable fractions to estimate the theoretical maximum speed-up of mobile devices. In experiments, the proposed method estimated the maximum speed-up of mobile devices more accurately than the state-of-the-art speed-up estimation method.
Flexible Lead-Free Piezoelectric Composite Materials for Energy Harvesting Applications

Vibrational piezoelectric energy harvesters are being investigated to replace batteries in embedded sensor systems. The energy density that can be harvested depends on the figure of merit, d(33)g(33), where d(33) and g(33) are the piezoelectric charge and voltage coefficient. Commonly used piezoelectric materials are based on inorganic ceramics, such as lead zirconium titanate (PZT), as they exhibit high piezoelectric coefficients. However, ceramics are brittle, leading to mechanical failure under large cyclic strains and, furthermore, PZT is classified as a Substance of Very High Concern (SVHC). To circumvent these drawbacks, we fabricated quasi 1-3 potassium sodium lithium niobate (KNLN) ceramic fibers in a flexible polydimethylsiloxane (PDMS) matrix. The fibers were aligned by dielectrophoresis. We demonstrate for the structured composites values of d(33)g(33) approaching 18 pm(3) J(-1), comparable to that of state-of-the-art ceramic PZT. This relatively high value is due to the reduced inter-particle distance in the direction of the electric field. As a confirmation, the stored electrical energy for both material systems was measured under identical mechanical loading conditions. The similar values for KNLN/PDMS and PZT demonstrate that environmentally friendly, lead-free, mechanically compliant materials can replace state-of-the-art environmentally-less-desirable ceramic materials in piezoelectric vibrational energy harvesters.
ON THE ENVIRONMENTAL DESIGN ILLUMINATION: TEACHER'S ATTITUDE

As a special professional discipline the design of lighting is a part of learning program of the department of Environmental Design in Moscow State Stroganov Academy of Design and Applied Arts. The training of designers working with light and lighting equipment requires the special methodize, and the elaboration of such methodize becomes more and more urgent in modern school. We see solution in the combination of traditional art studies and environmental design with modern digital design technologies. All the factors of the lighting content of our environment such as lighting technique and technologies are considered during the learning process. Those branches of professional training are closely connected with the whole design culture and that gives us an opportunity to use a multidisciplinary approach. The study in the lighting design takes one term. That's enough for the concept of the fragment of urban environment including the elements of the lighting content. The basics of art and the skills of creative thinking also help to achieve a high level of final design and to develop aesthetic skills of students. The new horizons of the lighting design are opened with the new profile of education on our department: a Multimedia Design providing an extensive digital ground for design process. All these means can help us to create a unique ground for the design education, for the contacts between students and possible customers, and also to attract some new, talented tutors.
Transnational technology transfer networks for SMEs. A review of the state-of-the art and an analysis of the European IRC network

This paper will review the effectiveness of the network approach to technology transfer. It will consider the current state-of-the-art, and examine specifically the results and status of the latest development of the IRC technology transnational transfer network supported by the European Commission. It will also draw from the practical experiences of Japan to stimulate innovation among SMEs; the experience of other informal networks of technology transfer professionals and commercial technology transfer companies. In Europe the IRC network currently consists of 68 offices covering 31 countries. This network was started in 1995 and it is a distinct case of an operating innovation virtual network covering a multicultural area. How such a network was set up with a top down approach will be discussed as well as the outcome and future of the network in view of a recent review study. Of utmost importance is its focus on SMEs as part of the, up to now, successful policy towards the promotion of co-operative innovation in the SME environment. Its offer-focused model will also be analysed and consideration given as to whether this offer-focused model, as opposed to a demand-focused model, can be sustained. The influences that the different socio-economic environments across Europe have been playing in the network performance will also be discussed.
Detection of Face Spoofing Using Visual Dynamics

Rendering a face recognition system robust is vital in order to safeguard it against spoof attacks carried out using printed pictures of a victim (also known as print attack) or a replayed video of the person (replay attack). A key property in distinguishing a live, valid access from printed media or replayed videos is by exploiting the information dynamics of the video content, such as blinking eyes, moving lips, and facial dynamics. We advance the state of the art in facial antispoofing by applying a recently developed algorithm called dynamic mode decomposition (DMD) as a general purpose, entirely data-driven approach to capture the above liveness cues. We propose a classification pipeline consisting of DMD, local binary patterns (LBPs), and support vector machines (SVMs) with a histogram intersection kernel. A unique property of DMD is its ability to conveniently represent the temporal information of the entire video as a single image with the same dimensions as those images contained in the video. The pipeline of DMD + LBP + SVM proves to be efficient, convenient to use, and effective. In fact only the spatial configuration for LBP needs to be tuned. The effectiveness of the methodology was demonstrated using three publicly available databases: 1) print-attack; 2) replay-attack; and 3) CASIA-FASD, attaining comparable results with the state of the art, following the respective published experimental protocols.
Metastases to the nail unit and distal phalanx: a systematic review

Metastases to the nail unit/distal phalanx (NU/DP), although rare, carry a poor prognosis and are frequently misdiagnosed due to variable clinical presentation. Metastases to the NU/DP may be the initial presenting sign of a new or recurrent malignancy. Since the most recent systematic review of case reports (133 patients total) was conducted in 2001, we conducted a systematic review from 1900 to 2021 (244 patients total) to assess any changes in trends in demographics, clinical presentation, and morphology and to report on more updated differential diagnoses. We also examined cases for age, sex, race, ethnicity, Fitzpatrick skin type, laterality, distribution, and diagnostic methods. The PubMed database (1900-2021) was used to detect case-level data per Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We found that the most common primary tumors were lung, kidney, and esophagus. A NU/DP metastasis was the presenting sign of malignancy in 31.00% of patients without a former cancer diagnosis. Male to female ratio was 2:1, with average age at diagnosis 58 years. Metastases most often affected a single digit (79.91%), particularly the thumb, followed by the fourth digit. This systematic review corroborates that metastases to the NU/DP may be the initial presenting sign of a new or recurrent malignancy and provides updated diagnostic guidelines. NU/DP metastasis should be considered in both healthy patients and patients with a former malignancy diagnosis presenting with nail changes involving a single digit. Prompt diagnosis and treatment may improve prognosis.
Novel Combined Load Frequency Control and Automatic Voltage Regulation of a 100% Sustainable Energy Interconnected Microgrids

Frequency and voltage deviations are two main problems in microgrids, especially with the increase in the penetration level of renewable energies. This paper presents novel techniques to apply combined the load frequency control and automatic voltage regulation of two interconnected microgrids. The two microgrids are operated by solar energy and bioenergy technologies and include energy-storage facilities. The control is applied using a novel accelerating PID controller (PIDA), which is compared to state-of-the-art control schemes. The controllers are designed using a new doctor and patient optimization technique (DPO), which is compared to state-of-the-art techniques. The combined design of load frequency controllers and automatic voltage regulators is also compared to a standalone design. The comparisons are carried out by testing the system performance at each operation condition in addition to indicators such as integral absolute error for frequency and voltage and integral time absolute error for frequency and voltage. The results show that a combined DPO-PIDA design of LFC-AVR schemes for fully sustainable microgrids has better performance than other standalone designs and other control and optimization alternatives.