bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human Emotion Recognition in Video Data Using Deep Learning Frameworks
Authors: Prasad Mal Hari , Swarnalatha P. 
Published: June 2022

Abstract
Human emotion recognition is a crucial application in human-computer interaction (HCI). This task is done using facial expressions as main modality. This work focuses on recognition of facial emotion expressions in video sequences and proposes an integrated and hybrid deep learning frameworks. Reasonable interaction is the basic form of interaction; it exists in social interaction, role interaction and symbolic interaction, interactive mode and has its particularity. The reason is the subject consciousness of autonomous interaction based on equality and full democratic conditions, because the main body needs and beliefs, purpose and value driven, between the main bodies in the subject. Between the main body and the social, emotional, attitude, a series of interactive response or change process of cognition and behavior. The structure of Ideological and political education reason interaction mechanism mainly from the sense of Ideological and political education interaction, process and mode, environment and other aspects of the ideological and political education structure is the main reason of interactive behavior, emotion, the cognitive nodes, multiple structure transmit information through language or symbols such as the ideological and political education; reasonable interaction process is in a certain environment, because of the need. There will be a series of patterns to interact with each other, and then interact with each other in order to form a series of patterns.
Impact of a NICU High Risk Follow up Clinic on Readmission rates and ER Visits in VLBW Infants
Authors: Chadive Deepika , Hoy Deborah , Desale Sameer , Ramasethu Jayashree 
Published: June 2022

Abstract
Objective
To compare rates of readmission and emergency room (ER) visits of very low birth weight (VLBW, birth weight ≤ 1500 grams) infants followed up in a NICU Follow Up Clinic (NFC) to those who did not.
Method
Email/ phone surveys of parents of VLBW infants discharged from a Level IV NICU between 2016–2018.
Result
Of 126 discharged VLBW infants, 94 infants who followed up in NFC were compared to 22 who did not. Ten patients (7.9%) were lost to follow up. NFC infants had significantly lower rates of unplanned admissions (17% vs 41%), ER/ urgent care visits (21% vs 82%) and multiple ER/ Urgent care visits (2% vs 41%) compared to infants who did not follow up at NFC.
Conclusion
NICU graduates who follow up in NFC had significantly lower rates of hospital admissions and ER/urgent Care visits compared to non-clinic patients, emphasizing the effectiveness of such a clinic.
Late-onset obstructive hydrocephalus associated with occipital encephalocele with large skull defect successfully treated by endoscopic third ventriculostomy: A case report
Authors: Munekata Yuki , Sugiyama Taku , Ueda Yuki , Mizushima Makoto , Motegi Hiroaki , Fujimura Miki 
Published: June 2022

Abstract
Background: Hydrocephalus is one of the most common presentations of occipital encephaloceles and usually develops within the first year of life. This case report presents a rare case of late-onset obstructive hydrocephalus associated with occipital encephalocele with an extraordinarily large occipital skull defect.Case Report: At birth, a newborn girl presented with an absence of a vast amount of occipital cranium and skin and was diagnosed with occipital encephalocele. Under meticulous sterile management, the affected area was successfully epithelialized, and the patient was discharged without infectious complication. Despite an obstructed cerebral aqueduct, she grew without any signs of hydrocephalus until the age of 7 years. Her gait gradually worsened, and imaging tests at the age of 8 years revealed markedly enlarged lateral and third ventricles but not the fourth ventricle. Endoscopic third ventriculostomy successfully relieved her symptoms with improvement of hydrocephalus. Conclusion: This is the first case of late-onset obstructive hydrocephalus associated with an occipital encephalocele characterized by large-scale cranial bony defects. Although further investigation is required to elucidate the mechanism of hydrocephalus, this rare phenomenon should be noted during neurological and radiological follow-up.
A Reliable DSR Protocol Using Link Availability Time Estimation for Wireless Ad hoc Networks
Authors: Malwe Shweta R , Taneja Naman , Nitesh Kumar 
Published: June 2022

Abstract
Dynamic topology and power-controlled lightweight mobile devices usually affect the performance of wireless ad hoc networks and have always been a major focus of research. Data transmission between a source-destination pair is governed by different types of routing protocols like proactive, reactive, hybrid, geographical, etc. Reactive routing techniques are highly preferred due to on-demand source-based routing with limited space requirements. The routing process should consider the link availability between the communicating nodes to get a stable route. If any two nodes along the route become unreachable, the communication could be interrupted. This could cause the receiver to lose data and experience longer delays. In this paper, we suggest a way to improve the existing DSR protocol. The focus is on choosing a stable route with less control overhead. During the route request phase, every participating node calculates its link availability time (LAT) for each adjacent link based on the current position of the neighbor and

receiving signal strength. Links with lesser LATs than a threshold are not considered for route setup hence the flooding of control packets is reduced. Simulation has been performed over the basic DSR and proposed improvements over DSR in terms of control overhead, successful data transmission rate, and the number of route errors generated in the network. The findings show that previous knowledge

of link availability during the routing phase aids in the discovery of more stable routes with lower control overhead, thereby promoting reliable data delivery and improving the overall network performance.
Biotechnological synthesis, immobilization, characterization and comparison of novel anti-viral drug as Protease Inhibitor from Bacillus subtilis-M15
Authors: Ilyas Mina , Noreen Bushra , Zahra Memoona , Anwar Muhammad Zeeshan , Hadi Faheem , Maqbool Tahir , Khawaja Ali Imran , Iqbal Zafar , Ali Qurban , Javed Muhammad Arshad , Haider Muhammad Saleem , Madni Muhammad Asadullah , Sumreen Laila , Shamim Tahira , Ali Iftikhar 
Published: June 2022

Abstract
Protease Inhibitors belong to class of drug which are used to cure or prevent infection by viruses like HIV and HCV. Protease Inhibitors from Bacillus subtilis-M15 prevent viral multiplication by inhibiting the activity of Trypsin and Pepsin. Pharmaceutically designed ion-exchange resins are proved as promising candidates to enhance the Inhibitory activities of Protease. The novel Biological anti-viral drugs are characterized by Hydrogen Peroxide, Dimethyl Sulfur, HCl, and Acidic-Alkaline Proteinase. When Protease Inhibitory activity of chemically formulated drug already available in market i.e. Lopinavir/Ritonavir are compared with novel anti-viral drug from Bacillus subtilis-M15 then Lopinavir/Ritonavir are proved as less effective than Biological drug due to their lower Inhibitory activity in terms of units per milliliter. Lopinavir/Ritonavir has 2446U/ml and 241U/ml Protease Inhibitory activities against trypsin and pepsin respectively whereas Biological drug from Bacillus subtilis-M15 has 2581U/ml and 3360U/ml Protease Inhibitory activities against Trypsin and Pepsin respectively. In this context Biological drug developing treatment has attracted much attention than chemically designed drug due to their high efficacy, least side effect, cost efficient and environment friendly nature. Hence we conclude the current application of novel anti-viral drug as a Protease Inhibitors from Bacillus subtilis-M15 and its future clinical prospects against targeted Protease based HIV and HCV therapy.
Genome-wide identification and expression pattern of sugar transporter genes in salt tolerant fungus Aspergillus sydowii H-1
Authors: Jie Zeng , Cao Yi 
Published: June 2022

Abstract
Aspergillus sydowii is a kind of fungus with rich metabolic capacity, halophilic and can cause coral disease. In this paper, 173 sugar transporter genes in A. sydowii H-1 genome were identified and divided into 9 subgroups by bioinformatics method. The transcription levels of these genes were analyzed under different fermentation time and different salt concentration. Combined with protein interaction network analysis, we identified that a glycerol transporter AsSTL1 gene interacted with five MAPK cascade genes: HOG, SSK22, STE11, PBS2 and FUS3. The abundant sugar transporter genes may be an important condition for A. sydowii to survive in extreme marine environment, and also indicate that these sugar transporters respond to low carbon source stress caused by prolonged fermentation cycle and salt stress.
Prevotella histicola inhibits neuroinflammation-induced activation of the Toll-like receptor 4 pathway by promoting the release of interleukin 10 from FoxP3+ Treg cells
Authors: Du Juan-Juan , Li Shi-Mo , Gu Yan-Lan , Zhuang Wei-Hao , Zhou Tao , Zhao Si-Yuan , Xu Ze-Ting , Lu Qiu-Xia , Pan Jing , Ren Yan-Hua , Chen Wei-Guang , Peng Peng , Liao Min 
Published: June 2022

Abstract
Background
Accumulating evidence indicates that intestinal microbiota not only influence development and behavior but also play important roles in the pathogenesis of neurodegenerative diseases. However, the relationships between gut bacteria and diseases of the nervous system remain to be fully explored. Microglial activation has been identified as an important factor affecting the progression of many degenerative diseases. Therefore, we aimed to investigate the effects of Prevotella histicola on neuroinflammation and associated mechanisms in an animal model of dopaminergic neuron death caused by microglia activation.
Methods
We used the Toll-like receptor 4 (TLR4) agonist lipopolysaccharide (LPS) to establish an animal model of dopaminergic neuron death induced by microglia activation. LPS was injected into the mouse substantia nigra, followed by gavage with P. histicola.
Results
P. histicola inhibited LPS-induced microglia activation by increasing the proportion of peripheral regulatory T cells (Treg), thereby increasing the secretion of interleukin (IL)-10, reducing dopaminergic neuron damage, stimulating activation of anti-inflammatory M2 type microglia, and improving exercise capacity. Interestingly, P. histicola treatment suppressed the expression of SUMO-specific protease 3 (SENP3), which plays an important role in LPS-stimulated inflammatory TLR4 signaling. P. histicola treatment also downregulated inflammatory factors including IL-1, IL-6, IL-12, and tumor necrosis factor-alpha (TNFα).
Conclusion
These results suggest that P. histicola inhibits the TLR4 inflammatory signaling pathway and release of inflammatory factors by regulating the release of IL-10 from FoxP3 + Treg cells in the spleen. Our findings may provide insight into a new therapeutic avenue for attenuating the progression of degenerative diseases involving microglial activation.
Knowledge Extraction and Question Formation from Transcripts of Video using WebRTC and YAKE
Authors: Dhingra Glen , Solkar Ahmed , Shah Shreyas , Sawant Vaishnavi , Patade Ashok 
Published: June 2022

Abstract
With the advancements in communication technology we now have access to more sophisticated and effective methods of communication. People can interact with one another through electronic mediums and this has paved the way for corporations and businesses to connect better with partners and employees. Video conferencing is a type of distance conferencing where two or more number of people can visually connect and interact with each other. The face of video communication has changed dramatically due to the global pandemic. The ban on travel has limited the reach of the enterprises in the foreign market, which in turn, has increased the adoption of video conferencing software.If some users miss the conference or get disconnected or want to review the conference again ,going through the recorded video of the conference becomes a hassle. Also there is a problem of language barrier in video conferencing. The presented system overcomes all these problems. The system firstly generates the transcript of the meeting in language which was used in the meeting by using speech to text recognition and stores it. Some meetings may be conducted for a long duration of time hence reading these transcripts becomes time consuming and is not feasible. So to handle these situations the system generates a summary of each meeting by extracting the important sections of the meeting by using YAKE keyword extractor. In addition to this a question answer based format is also generated in the selected language so the users may search the questions they want the answer to ,instead of reading the whole summary which saves time. The presented system helps the end user by understanding the essential part of the meeting in their preferred language.
Predictors of response for percutaneous balloon compression for the treatment of recurrent trigeminal neuralgia following surgical procedures: a retrospective study
Authors: Liu Lu , Sun Zhe , Zhang Yan , Ma Guofeng , Luo Fang 
Published: June 2022

Abstract
Recurrent trigeminal neuralgia (TN) after surgical procedures can be rather difficult to treat, and standardized treatment measures are not available yet. It is unclear whether percutaneous balloon compression (PBC) can be used as the preferred surgical treatment for postoperative recurrent TN. To determine the efficacy of PBC and identify the predictors of response of PBC for the treatment of recurrent TN following TN-related surgeries, we retrospectively collected and analyzed the data of patients with recurrent TN following surgical treatments who underwent PBC under three-dimensional computed tomography (3D-CT) guidance at the department of Pain Management of Beijing Tiantan Hospital, Capital Medical University from January 2018 to January 2022. We found, within one month after PBC, the total efficacy of PBC on recurrent TN following TN-related surgeries was 86.7%. Based on the effectiveness of PBC one month postoperatively, patients were divided into the effective group (130, 86.7%) and the ineffective group (20, 13.3%). Fourteen (10.8%) patients in the effective group had undergone RFT before, which was significantly lower than that in the ineffective group (6, 30%, p = 0.02). In the crude, adjust I and adjust II models, previous RFT was considered to be a significant predictor of poor outcome at 1 month’s follow-up (non-adjusted, OR 0.28; adjust I, OR 0.28; adjust II, OR 0.30, respectively). Thus, PBC was found to be a moderately effective and safe treatment for recurrent TN after TN-related surgery. However, previous RFT procedure may predict a slightly worse outcome after PBC.
The Role of Companion Animals in Advanced Cancer: An Interpretative Phenomenological Analysis
Authors: McGhee William R.G , Dempster Martin , Graham-Wisener Lisa 
Published: June 2022

Abstract
Background:There is evidence that a companion animal (CA) or ‘pet’ can be helpful during the management of chronic illness. However, the psychological effects of CAs and the mechanism by which they can be beneficial to individuals managing life-limiting conditions is unknown. This study addresses this gap and provides the first examination of the lived experience of CAs among community-dwelling adults with advanced cancer. Methods:Semi-structured interview study consisting of a homogenous sample of 6 individuals with an advanced cancer diagnosis, who either self-selected to the study or were recruited through a regional charity that supports palliative and end-of-life care patients in maintaining a connection with their CA. Data were transcribed verbatim and analysed using Interpretative Phenomenological Analysis. Results: Four superordinate themes occurred in the data: a protective relationship, positive behavioural change, facilitating meaningful social connections and increased loss-orientated cognitions. The findings suggest that CAs offer de-arousing and stress-buffering supports that mitigate physical and psychological sequalae experienced by people with advanced cancer. However, as their illness progresses, individuals may also experience negative effects associated with their CA and increased loss-orientated cognitions. Conclusions:CAs provide emotional, practical and social supports to individuals diagnosed with advanced cancer that can improve individual psychological wellbeing. Consequently, it is important that CAs are considered in advance care planning processes and that services are available to mitigate any negative effects of CA ownership, in order to maximise the benefits CAs confer to individuals managing advanced cancer.
Dynamic Spectrum Optimization for Internet-of-Vehicles with Deep-Learning-Based Mobility Prediction
Authors: Li Feng , Sun Zhongming , Lam Kwok-Yan , Sun Lianzhong , Shen Bowen , Peng Bao 
Published: June 2022

Abstract

Internet-of-Vehicles (IoV) plays an important part of Intelligent Transportation Systems, and is widely regarded as one of the most strategic applications in smart cities development. Next generation wireless network is especially crucial for meeting the connectivity and bandwidth demands of IoVs. Smart spectrum resource management has received much attention of the research community as it is believed to be a promising approach for solving the spectrum resource challenge of IoV and Intelligent Transportation Systems. In this article, we propose a smart spectrum optimization technique based on a deep learning method for user mobility prediction. For this purpose, based on the Exploration and Preferential Return (EPR) model which can be used to investigate the movement trend and aggregation behavior of the target, we adopt the D-Exploration and Preferential Return (D-EPR) model as a deep learning technique to train a Long-Short Term Memory (LSTM) recurrent neural network (RNN) in order to predict the future locations of IoV nodes. With predicted user’s mobility, a graph theoretic algorithm is then applied to achieve spectrum reuse and optimization. Besides, our proposed deep-learningbased user mobility prediction is able to identify the user position. This paper then compares the performances of mobility prediction by traditional method and our proposal. The outcomes of spectrum efficiency and network capacity are also provided to show the effectiveness of the proposed solution.
Nitazoxanide and Azithromycin for the early Treatment of Covid-19: A Multi-Spectroscopic, Biochemical and Computational Drug-Drug Interaction Study
Authors: Ali Syed Abid , Abid Muhammad , Ahmed Ayaz , Wadood Abdul , Ahmad Shakil 
Published: June 2022

Abstract
Current investigation presented an experimental and theoretical drug-drug interaction study between nitazoxanide (NTZ) and azithromycin (AZT) in aqueous solution. Understudy drugs alone, in combination, and with other drugs are widely prescribed for the early treatment of COVID-19. Interaction was primarily studied by using UV/Vis, fluorescence, ATR-FTIR and CD spectroscopy. While molecular docking studies was performed to established the drugs interaction computationally. Two drugs when allowed to interact, the bright yellow color was observed giving hyper chromic band at 420 nm. The rate of absorbance was linearly increased with increasing drug concentrations and in a time-dependent manner. Stability of the interaction complex (i.e. NTZ: AZT) was measured at variable temperature (25–80 °C), pH (5.0–10.0) and ionic strength (0.05-2.0 M NaCl), and not only proved stable but also retain antimicrobial potential with reduced cellular toxicity. Mole ratio and Job`s method of continuous variation were used to established the binding stoichiometry between NTZ and AZT and found to be 2:1. While, the calculated binding constant (kb = 8400 M− 1) and Gibb’s free energy (ΔG° = -22.4 KJ/mol) were also suggested the energetically favorable interaction. FTIR spectra of NTZ: AZT complex in comparison with two drugs alone revealed significant interactions which was also complemented from molecular docking studies. The interaction was also successfully demonstrated in presence of carrier protein HSA and by spiking the two drugs in real samples of fresh human plasma and urine. Cumulatively, present study provided new protocol for drug’s interaction, functional efficacy and bioavailability in combination therapy.
A Proposal for a Robust Validated Weighted General Data Protection Regulation-based Scale to Assess the Fairness of Privacy Policies of Mobile Health Applications: a Delphi Study
Authors: Benjumea Jaime , Ropero Jorge , Dorronzoro-Zubiete Enrique , Rivera-Romero Octavio , Carrasco Alejandro 
Published: June 2022

Abstract
Nowadays, the health sector is involved in a digital transformation. The use of technological systems supporting in the health care are becoming common among all stakeholders. The COVID-19 pandemic has also accelerated this process increasing the use of digital tools, devices, and services supporting patients in the self-management and/or in the communication with healthcare providers. In such circumstances, mobile health (mHealth) has also experienced a significant growth because of the potential benefits of its use in health self-management. However, the quality of the mHealth solutions is not always high enough reducing its adoption and acceptance. This study is focused on one of the components of the quality of mHealth solutions, privacy, particularly on the fairness of the privacy policies. Following a modified Delphi method, we assessed the robustness of a General Data Protection Regulation-based privacy scale, identified new tentative items to be included, and define weights to items according to their relevance. This Delphi study was conducted in two rounds through two online questionnaires that a selected expert panel filled out. Most of the experts considered all the items defined in the original scale as “important” or “very important” (4 and 5 in a 5-point Likert scale, respectively). An original item was reworded, and two new items were added. Regarding weight assignment, 11 of the 16 items in the scale were considered "very important", so that they were assigned a weight of 1, while the other 5 were considered "important", and were assigned a weight of 0.5. As a result, a new robust scale to assess the fairness of the privacy policy of a mHealth solution is defined. The Benjumea privacy scale is a new tool to assess a key component of privacy, privacy policy, providing a deeper and complementary analysis to other scales that assesses the general quality of mHealth solutions. Also, this robust scale provides a guideline for development of high-quality privacy policies of mHealth solutions.