bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining the Effect of Cyber Twin and Blockchain Technologies for Industrial Applications Using AI
Authors: Manoharan Hariprasath , Teekaraman Yuvaraja , Kuppusamy Ramya , Kaliyan Naveenkumar , Thelkar Amruth Ramesh
Published: March 2022

In current generation the concept of cyber twin technology has been emerging as an improved platform for different applications. This paper emphasize on examining the effect of cyber twin technology for manufacturing equipment in Industry 4.0 applications by solving three different elementary objectives. For the proposed conception a new system model is identified for integrating triobjective cases with artificial intelligence algorithm. In addition, high security measures are also incorporated using blockchain technology which is one basic requirement for industrial applications for creating real twins. Both system model and algorithm have been combined for providing effective performance in real time using a physical entity. The effectiveness of the proposed model is tested with sensor prototype and simulated with four scenarios where the projected model provides better performance for more than 72% when compared with existing methodologies.
Predefined Time Synchronization Control for Uncertain Chaotic Systems
Authors: Liu Yun , Zhu Fang
Published: March 2022

In this study, the predefined time synchronization problem of a class of uncertain chaotic systems with unknown control gain function is considered. Based on the fuzzy logic system and varying-time terminal sliding mode control technology, the predefined time synchronization between the master system and the slave system can be realized by the proposed control method in this study. The simulation results confirm the theoretical analysis.
Chemical Composition and Nutritional Value of Three Sonchus Species
Authors: de Paula Filho Galdino Xavier , Barreira Tibério Fontenele , Pinheiro-Sant’Ana Helena Maria
Published: March 2022

Species of unconventional food plants of the genus Sonchus are widely consumed in rural populations living in the Brazilian Atlantic Forest. This study investigated the nutritional composition of S. oleraceus, S. asper, and S. arvensis species. The centesimal composition was investigated according to the norms of the Association of Official Analytical Chemists, the occurrence and concentration of carotenoids and vitamins through High-Performance Liquid Chromatography, and minerals with the aid of atomic emission spectrometry in inductively coupled plasma. There was no significant difference between the water content found in the three species. However, S. asper showed higher concentrations of lipids (1.32 g/100 g), carbohydrates (0.34 g/100 g), total carotenoids (5.58 mg/100 g), and Ca (96.25 mg/100 g), while S. arvensis had the highest concentration of vitamins E (72.98 μg/100 g) and K (604.85 mg/100 g). S. oleraceus showed higher concentrations of Fe (23.74 mg/100 g). Statistically, fibers and ash presented the same proportions in S. asper and S. arvensis, as well as proteins in S. oleraceus and S. asper species. The availabilities of these vegetables together with their high nutritional value are important factors that contribute to ensuring food security for families that have these species in their diet.
Management of a Novel Autoimmune Disease, COPA Syndrome, in Pregnancy
Authors: Ayyar Archana , Seaman Rachel D. , Guntupalli Kalpalatha , Tolcher Mary C.
Published: March 2022

Background. COPA syndrome is a rare autoimmune disease, demonstrating an autosomal dominant inheritance pattern with variable penetration that occurs more frequently in females than males. This disease manifests in childhood as pulmonary hemorrhage, arthritis, and renal disease. Case. We present a case of obstetric management of a 20-year-old nulligravida patient with a diagnosis of COPA syndrome. Her case was further complicated by multiple antepartum admissions for hypoxemia and a complex psychosocial history of substance use. On her first antepartum admission, rheumatology recommended management with hydroxychloroquine, inhaled corticosteroids (budesonide), and bronchodilators (albuterol inhaler) as needed. On admission for induction of labor, she was again noted to have oxygen desaturations. A chronic thrombus was noted on computed tomography (CT), and a multidisciplinary team was recommended against Valsalva. Thus, she had a primary cesarean delivery. Her postpartum course was only remarkable for improved oxygenation status. Conclusion. Management of COPA syndrome should be performed by a multidisciplinary team including maternal-fetal medicine, rheumatology, and pulmonology specialists. Traditionally, COPA syndrome is treated with immunomodulator therapy often used to treat autoimmune syndromes. However, many of these medications are not well studied or contraindicated in pregnancy. Preconception counseling is recommended both to ensure pregnancy safe medications being prescribed and to provide information on the genetic inheritance of this disease. At time of entry to care, patients should have a baseline work-up including a radiographic imaging, complete blood count, complete metabolic panel, lactate dehydrogenase, and a 24-hour urine protein collection for baseline. Although thought to be rare, COPA syndrome has an autosomal dominance pattern of inheritance with variable penetrance that is more common in females. Thus, incidence of COPA syndrome in pregnancy will likely increase in the future. Further case studies are warranted to optimize management of patients with COPA syndrome in pregnancy.
Plants in Anticancer Drug Discovery: From Molecular Mechanism to Chemoprevention
Authors: Siddiqui Arif Jamal , Jahan Sadaf , Singh Ritu , Saxena Juhi , Ashraf Syed Amir , Khan Andleeb , Choudhary Ranjay Kumar , Balakrishnan Santhanaraj , Badraoui Riadh , Bardakci Fevzi , Adnan Mohd
Published: March 2022

Cancer is one of the primary causes of mortality globally, and the discovery of new anticancer drugs is the most important need in recent times. Natural products have been recognized as effective in fight against various diseases including cancer for over 50 years. Plants and microbes are the primary and potential sources of natural compounds to fight against cancer. Moreover, researches in the field of plant‐based natural compounds have moved towards advanced and molecular level understandings from the last few decades, leading to the development of potent anticancer agents. Also, plants have been accepted as abundant and prosperous sources for the development of novel therapeutic agents for the management and prevention of different cancer types. The high toxicity of some cancer chemotherapy drugs, as well as their unfavorable side effects and drugs resistance, drives up the demand for natural compounds as new anticancer drugs. In this detailed evidence‐based mechanistic review, facts and information about various medicinal plants, their bioactive compounds with their potent anticancer activities against different cancers have been gathered, with further approach to represent the molecular mechanism behind the anticancer activity of these plants. This review will be beneficial for investigators/scientists globally involved in the development of natural, safe, effective, and economical therapeutic agents/drugs against various cancers. This might be an important contribution in the field of drug discovery, where drugs can be used alone or in combination to increase the efficacy of newly synthesized drugs.
Fuzheng Jiedu Decoction Induces Apoptosis and Enhances Cisplatin Efficacy in Ovarian Cancer Cells In Vitro and In Vivo through Inhibiting the PI3K/AKT/mTOR/NF‐κB Signaling Pathway
Authors: Yang Huadi , Li Hui , Lu Shenyi , Shan Shuangshuang , Guo Yong
Published: March 2022

Objectives. This study is aimed at investigating the anticancer activity of Fuzheng Jiedu decoction (FJD) alone or in combination with cisplatin in ovarian cancer (OC) models, as well as its underlying mechanisms of action. Methods. The anticancer activities of FJD, cisplatin, and the combination of the PI3K inhibitor (LY294002, LY) or activator (IGF‐1) were evaluated in OC cell lines in vitro and in a SKOV3 xenograft mouse model in vivo. The cell proliferation and invasion ability were measured using MTT, EdU, and transwell assays, respectively. The cell apoptosis was examined by flow cytometry and JC‐1 assays. The expression levels of the Bcl‐2 family and the PI3K/AKT/mTOR/NF‐κB pathway‐related proteins were analyzed by Western blot. Results. The in vivo and in vitro studies showed that FJD administration could significantly inhibit cell proliferation and promote cell apoptosis in two OC cell lines SKOV3 and 3AO and partially decreased the tumor volumes and weights. In addition, FJD could significantly downregulate the protein levels of p‐PI3K/PI3K, p‐AKT/AKT, p‐mTOR/mTOR, NF‐κB, p38, and Bcl‐2 and upregulate the Bax, Cyt‐C, and cleaved caspase‐3 in OC tumor tissues and cells. FJD cotreatment increased the efficacy of cisplatin, including inhibiting OC cell proliferation and invasion, promoting cell apoptosis, and inhibiting the PI3K/AKT/mTOR signaling pathway, while this enhancement was suppressed by IGF‐1. Similarly, LY also enhanced the anticancer efficacy of cisplatin. Conclusions. This study indicated that FJD could improve the efficacy of cisplatin by inhibiting the PI3K/AKT/mTOR/NF‐κB signaling pathway. It is suggested that FJD may be a valuable adjuvant drug for the treatment of OC.
Multiuser Computing Offload Algorithm Based on Mobile Edge Computing in the Internet of Things Environment
Authors: Chu Xiao , Leng Ze
Published: March 2022

As traditional cloud computing is not efficient enough to support large-scale computational task execution in IoT  environments, a task offloading and resource allocation algorithm for mobile edge computing (MEC) is proposed in this paper. First, a multiuser computation offloading model is constructed, including a communication model and computation offloading model, which is transformed into the minimization of users’ time delay and energy consumption (i.e., total system overhead) in the MEC system. Then, the task offloading model is formulated into a Markov decision process, and an offloading strategy based on a deep Q network (DQN) is designed to dynamically make fine tunings on the offloading proportion of each user so as to realize a low-cost MEC system. The proposed algorithm is analyzed based on the constructed simulation platform. The simulation results show that when the number of user terminals is 40, the average delay of the proposed algorithm does not exceed 0.9 s, and the average energy consumption tends to 65 J, which is better than the comparison method. Therefore, the proposed algorithm has certain application prospects.
Analysis of Potential Hub Genes for Neuropathic Pain Based on Differential Expression in Rat Models
Authors: Bai Jie , Geng Bin , Wang Xingwen , Wang Shenghong , Xia Yayi
Published: March 2022

Objective. Neuropathic pain (NP) is a type of intractable chronic pain with complicated etiology. The exact molecular mechanism underlying NP remains unclear. In this study, we searched for molecular biomarkers of NP. Methods. Differentially expressed genes (DEGs) were predicted by analyzing three NP-related microarray datasets in Gene Expression Omnibus with robust rank aggregation. A weighted gene coexpression network analysis was conducted to construct a network of differentially expressed genes, followed by the evaluation of correlations between gene sets and the determination of hub genes. The candidate genes from the key module were identified using a gene set enrichment analysis. Results. In total, 353 upregulated and 383 downregulated genes were obtained, among which five hub genes were determined to be related to pain phenotypes. Reverse transcription-quantitative polymerase chain reaction was performed to verify the expression of these hub genes in the dorsal root ganglia of rats with spared nerve injury, which revealed the decreased expression of EMC4. Hence, EMC4 was defined as a biomarker for NP development. Conclusions. The results of this study form a basis for further research into the mechanism of NP development and are expected to aid in the development of novel therapeutic strategies.
Combination of Stem Cells with Chinese Herbs for Secondary Depression in Neurodegenerative Diseases Based on Traditional Chinese Medicine Theories
Authors: Feng Jiahao , Liao Li , Xu Fangfang , Zhang Lin , Zhang Jun
Published: March 2022

Depression is a common secondary symptom in neurodegenerative diseases (NDs) caused by the loss of neurons and glial cells. Recent research focuses on stem cell therapy to replace dead nerve cells, but the low efficiency of stem cell differentiation and short survival time are obstacles limiting the therapy’s effectiveness. Clinically, patients with different diseases cannot obtain the same effect by using the same cell therapy. However, traditional Chinese medicine (TCM) often uses syndrome differentiation to determine the treatment plan for NDs. Based on TCM syndrome differentiation and treatment, this article summarizes the advantages of Chinese herbal medicine combined with stem cell therapy, mainly for the effects of various herbs on diseases and stem cells, including prolonging the survival time of stem cells, resisting inflammation, and antidepressant-like effects. In particular, it analyzes the unique pathways of the influence of drugs and acupuncture on different therapies, seeking to clarify the scientific TCM system. This review mainly elaborates on the treatment of secondary depression in TCM and the advantages of a herbal combined stem cell therapy in various methods. We believe it can provide a new clinical concept for secondary depression to obtain good clinical effects and reduce the risks borne by patients.
Optimal Periods of Conducting Preventive Maintenance to Reduce Expected Downtime and Its Impact on Improving Reliability
Authors: Al-Duais Fuad S. , Mohamed A.-B. A. , Jawa Taghreed M. , Sayed-Ahmed Neveen
Published: March 2022

The present research mainly aims to use a mathematical formula to determine the optimal intervals for conducting preventive maintenance operations for machines to reduce the expected failure time when the malfunction data follow the Weibull distribution. The reliability function, failure rate, and the average time between machine failures were derived after performing preventive maintenance operations and before conducting preventive maintenance operations to state the amelioration that happens to machines. These rely on real data of performing preventive maintenance operations and the downtime required to repair machine or device faults that occur between preventive maintenance periods and the downtime necessary to perform preventive maintenance operations on the machine or device. Thus, the study concluded that preventive maintenance operations are working to increase the reliability of the machine and improve it, as well as to increase the average period of time for the machine to operate between faults.
[Retracted] Empirical Analysis of Apnea Syndrome Using an Artificial Intelligence‐Based Granger Panel Model Approach
Authors: Onyema Edeh Michael , Ahanger Tariq Ahamed , Samir Ghouali , Shrivastava Manish , Maheshwari Manish , Seghir Guellil Mohammed , Krah Daniel
Published: March 2022

Sleep apnea is a serious sleep disorder that occurs when a person′s breathing is interrupted during sleep. People with untreated sleep apnea stop breathing repeatedly during their sleep. This study provides an empirical analysis of apnea syndrome using the AI‐based Granger panel model approach. Data were collected from the MIT‐BIH polysomnographic database (SLPDB). The panel is composed of eighteen patients, while the implementation was done using MATLAB software. The results show that, for the eighteen patients with sleep apnea, there was a significant relationship between ECG‐blood pressure (BP), ECG‐EEG, and EEG‐blood pressure (BP). The study concludes that the long‐term interaction between physiological signals can help the physician to understand the risks associated with these interactions. The study would assist physicians to understand the mechanisms underlying obstructive sleep apnea early and also to select the right treatment for the patients by leveraging the potential of artificial intelligence. The researchers were motivated by the need to reduce the morbidity and mortality arising from sleep apnea using AI‐enabled technology.
Efficacy of Constructing Digital Hybrid Skull-Dentition Images Using an Intraoral Scanner and Cone-Beam Computed Tomography
Authors: Lee Joo-Hee , Byun Soo-Hwan , Yi Sang-Min , Park In-Young , Yang Byoung-Eun , Lee Hye-Lim
Published: March 2022

Cone-beam computed tomography (CBCT) can distort dentition, and additional imaging is often required. A plaster model to help digitize dental images has been widely used in clinical practice, but there are some inconveniences such as complexity of the process and the risk of damage. The aim of this study was to evaluate the potential for improving dentition imaging with CBCT scans using an intraoral scanner instead of a plaster model. The study used laser model-scanned images of plaster models, imaging from two intraoral scanners, and CBCT images from 20 patients aged 12-18 years. CS 3600 (Carestream Dental, Atlanta, USA) and i700 (Medit, Seoul, Korea) were used as intraoral scanners. The full arch was scanned at once or in three sections using intraoral scanners. The segmented scans were merged to obtain full-arch images. With i700, full-arch images were additionally acquired using its “smart stich” function. The virtual skull-dentition hybrid images obtained from intraoral scanners were superimposed with images obtained using a plaster cast. The difference and distance of coordinate values at each reference point were measured. The average distances from the images obtained with the plaster cast were smaller than 0.39 mm, which is the voxel size of CBCT. Scanning the complete or partial arch using CS 3600 or i700 satisfactorily complemented the CBCT when compared to the plaster model. The virtual skull-dentition hybrid image obtained from intraoral scanners will be clinically useful, especially for patients and surgeons who have difficulty in scanning the complete arch at once.
Novel Role of Prereplication Complex Component Cell Division Cycle 6 in Retinal Neovascularization
Authors: Kumar Raj , Rao Gadiparthi N.
Published: March 2022

Background:

The major aim of this study is to investigate whether CDC6 (cell division cycle 6), a replication origin recognition complex component, plays a role in retinal neovascularization, and if so, to explore the underlying mechanisms.

Methods:

In this study, we used a variety of approaches including cellular and moleculer biological methodologies as well as global and tissue-specific knockout mice in combination with an oxygen-induced retinopathy model to study the role of CDC6 in retinal neovascularization.

Results:

VEGFA (vascular endothelial growth factor A)-induced CDC6 expression in a time-dependent manner in human retinal microvascular endothelial cells. In addition, VEGFA-induced CDC6 expression was dependent on PLCβ3 (phospholipase Cβ3)-mediated NFATc1 (nuclear factor of activated T cells c1) activation. Furthermore, while siRNA-mediated depletion of PLCβ3, NFATc1, or CDC6 levels blunted VEGFA-induced human retinal microvascular endothelial cell angiogenic events such as proliferation, migration, sprouting, and tube formation, CDC6 overexpression rescued these effects in NFATc1-deficient mouse retinal microvascular endothelial cells. In accordance with these observations, global knockdown of PLCβ3 or endothelial cell–specific deletion of NFATc1 or siRNA-mediated depletion of CDC6 levels substantially inhibited oxygen-induced retinopathy–induced retinal sprouting and neovascularization. In addition, retroviral-mediated overexpression of CDC6 rescued oxygen-induced retinopathy–induced retinal neovascularization from inhibition in PLCβ3 knockout mice and in endothelial cell–specific NFATc1-deficient mice.

Conclusions:

The above observations clearly reveal that PLCβ3-mediated NFATc1 activation-dependent CDC6 expression plays a crucial role in VEGFA/oxygen-induced retinopathy-induced retinal neovascularization.
Early Clinical Experience With the TRICENTO Bicaval Valved Stent for Treatment of Symptomatic Severe Tricuspid Regurgitation: A Multicenter Registry
Authors: Wild Mirjam G. , Lubos Edith , Cruz-Gonzalez Ignacio , Amat-Santos Ignacio , Ancona Marco , Andreas Martin , Boeder Niklas F. , Butter Christian , Carrasco-Chinchilla Fernando , Estevez-Loureiro Rodrigo , Kempfert Jörg , Köll Benedikt , Montorfano Matteo , Nef Holger M. , Toggweiler Stefan , Unbehaun Axel , Werner Paul , Windecker Stephan , Praz Fabien
Published: March 2022

Background:

Patients with severe tricuspid regurgitation present late and are often ineligible for surgery or transcatheter repair systems. Transfemoral venous implantation of a bicaval valved stent has been proposed as therapeutic option in selected patients. The aim of this study was to summarize the early procedural and clinical outcomes of the novel TRICENTO system for the treatment of patients with symptomatic severe tricuspid regurgitation.

Methods:

All consecutive patients treated with the custom-made TRICENTO implant at the participating centers were included in this retrospective multicentre registry.

Results:

A total of 21 high-risk patients (mean age 76±7 years; 67% female) with severe or higher grade tricuspid regurgitation were analyzed. The majority of the patients were in New York Heart Association class III/IV (95%), had peripheral edema (95%), and previous hospitalization for right heart failure (67%). Technical success was 100%, and there was no case of in-hospital mortality. During follow-up (median 61 days), symptomatic improvement was observed (65% in New York Heart Association class I/II;
P
<0.001). Computed tomography revealed asymptomatic fractures of the TRICENTO prosthesis in 3 patients. Cardiac magnetic resonance imaging obtained in 7 patients showed a significant decrease (252±65 mm
3
at baseline versus 216±58 mm
3
at follow-up,
P
=0.006) of right ventricular end-diastolic volume. The overall-survival rate was 76% at 1 year.

Conclusions:

The present data indicate the feasibility of transfemoral bicaval valved stent implantation for the treatment of severe tricuspid regurgitation. Functional improvement and signs of right ventricular reverse remodeling were observed. Stent fractures did not impair valve function, but require refinement of prosthesis design and careful assessment of eligibility criteria.
Heteroplasmy of Wild-Type Mitochondrial DNA Variants in Mice Causes Metabolic Heart Disease With Pulmonary Hypertension and Frailty
Authors: Lechuga-Vieco Ana Victoria , Latorre-Pellicer Ana , Calvo Enrique , Torroja Carlos , Pellico Juan , Acín-Pérez Rebeca , García-Gil María Luisa , Santos Arnoldo , Bagwan Navratan , Bonzon-Kulichenko Elena , Magni Ricardo , Benito Marina , Justo-Méndez Raquel , Simon Anna Katharina , Sánchez-Cabo Fátima , Vázquez Jesús , Ruíz-Cabello Jesús , Enríquez José Antonio
Published: March 2022

Background:

In most eukaryotic cells, the mitochondrial DNA (mtDNA) is transmitted uniparentally and present in multiple copies derived from the clonal expansion of maternally inherited mtDNA. All copies are therefore near-identical, or homoplasmic. The presence of >1 mtDNA variant in the same cytoplasm can arise naturally or result from new medical technologies aimed at preventing mitochondrial genetic diseases and improving fertility. The latter is called divergent nonpathologic mtDNA heteroplasmy (DNPH). We hypothesized that DNPH is maladaptive and usually prevented by the cell.

Methods:

We engineered and characterized DNPH mice throughout their lifespan using transcriptomic, metabolomic, biochemical, physiologic, and phenotyping techniques. We focused on in vivo imaging techniques for noninvasive assessment of cardiac and pulmonary energy metabolism.

Results:

We show that DNPH impairs mitochondrial function, with profound consequences in critical tissues that cannot resolve heteroplasmy, particularly cardiac and skeletal muscle. Progressive metabolic stress in these tissues leads to severe pathology in adulthood, including pulmonary hypertension and heart failure, skeletal muscle wasting, frailty, and premature death. Symptom severity is strongly modulated by the nuclear context.

Conclusions:

Medical interventions that may generate DNPH should address potential incompatibilities between donor and recipient mtDNA.
The Kingdom of Peace in Luke-Acts and What Glossolalia Has to Do with It
Authors: Wenk Matthias
Published: March 2022

The Acts 2 narrative is central for Pentecostal identity and theology, especially with its emphasis on speaking in tongues. In Luke’s overall narrative structure, Acts 2 also plays a crucial role in defining his vision of the kingdom of God as a kingdom of peace in contrast to other kingdoms during his time. However, since the term kingdom of God (as well as peace) refers to a concept that is part of the world of ideologies (utopia), it cannot be defined without language, for its final reality, like any reality in utopias, exists at first in linguistic symbols, hence, language is foundational for any understanding of the kingdom of God, and language (glossolalia) is, so the argument, a linguistic symbol of God’s kingdom of peace that renounces any form of violence for its realization. By understanding tongues as a linguistic symbol (sacrament) of the kingdom of peace, a Pentecostal missiology will always be fully incarnational and participating in the life of the other so that they may speak their own language (for themselves). Tongues also enable the ‘missionizing group’ to withhold from any form of power (verbal, emotional, physical, or status) that impairs the dignity and identity of the other.
The Third Pentecostal Phenomenon in Indonesia
Authors: Widjaja Fransiskus Irwan , Simanjuntak Fredy , Boiliu Noh Ibrahim
Published: March 2022

This article examines the Holy Spirit’s outpouring phenomenon in Indonesia, named as the ‘third Pentecost’ by Indonesian Pastor Niko Njotorahardjo from Gereja Bethel Church. Njotorahardjo suggests that the first Pentecost was reported in Acts 2, the second Pentecost occurred at the Azusa Street revival, and the third Pentecost is being poured out now. This research uses discourse analysis to study discourse collected from literature, sermons, conferences, and media recordings. While the analysis of the data used in this research is descriptive, this article is expected to provide constructive input to the global church in general and to the Pentecostal–Charismatic movement in particular.
Angels and What They Could Bring
Authors: Churchouse Matt
Published: March 2022

Angels are endemic to the pentecostal worldview, are currently in vogue in popular spirituality, and pentecostal scholars desire for their theology to be of benefit to the pentecostal and public communities as a whole. This article contends, therefore, that scholarly pentecostal theology on the topic of angels would be of much value. It provides a scholarly contribution to the topic by first reviewing the fullest angelology proffered by a pentecostal scholar to date – that of Amos Yong. It then offers a classic-contemporary pentecostal theology and definition of angels that is more consistent with modern experiences of angels, as well as the teaching of Scripture, tradition, and reason. Finally, it commends how this angelology could be applied practically in a way that feeds the intrigue of the popular imagination, functions as a resource for apologists, and gives the interested theologian several leads for further exploration of the topic.
Moses’ Embodied Encounter
Authors: Coetzee Narelle Jane
Published: March 2022

This article investigates the implications of Moses’ unshod feet within the Burning Bush pericope (Exodus 3.1–4.17). Traditionally, scholars observe that the act of removing one’s shoes is merely a sign of ancient honour, conveying to Moses that he is on holy ground. Here, the author suggests, however, that through a narrative-geographical reading, additional insights can be gleaned – specifically, that Moses is being asked to participate as an embodied person, with all his senses. He is literally being ‘grounded’ in this experience, through his unshod feet. The author also argues that a larger creational relationship is implied – expressly, that Moses is the new (re)creational partner (adam), and through this bare-footed encounter is being connected back to creational purposes, via the adamah. Finally, inasmuch as Pentecostal readers of the Bible seek an ongoing experience of the Spirit, the author suggests that this narrative-geographical reading complements and re-energizes our whole-bodied spirituality and expectations of divine encounter.
India’s Interface with East and Southern Africa: Strengthening People Connections
Authors: Ray Nivedita
Published: March 2022

In the area of international relations, people to people connection is an important form of interactions, which is essential for building a meaningful and long-term partnership between nations. It includes a wide gamut of exchanges and relations in areas such as culture, arts, history, education, media, diaspora, and tourism. With regard to India’s relations with countries of East African Community (EAC) and Southern African Development Cooperation (SADC), it is observed that though the relations between business and governments of both sides have deepened and diversified there is still so much lack of awareness about each other. In this context, the paper focuses on the significance of education collaboration, media interactions and diaspora linkages in strengthening people to people relations between both sides. It examines the imperatives for building these connections, the initiatives that have been taken so far and the ways how these connections can be further enhanced.
Anthurium tacotalpense (Araceae), a new species from Mexico
Authors: PÉREZ-FARRERA MIGUEL ÁNGEL , DÍAZ JIMÉNEZ PEDRO , CROAT THOMAS B. , HENTRICH HEIKO , PADILLA VEGA JOSÉ , AGUILAR-RODRÍGUEZ PEDRO A.
Published: March 2022

Anthurium tacotalpense a new species of genus Anthurium sect. Andiphilum from Tabasco, Mexico is described and illustrated. The new species is morphologically similar to Anthurium cerrobaulense but it differs from that species in having adaxially flattened petioles, spadix up to twice as long and immature berries green, orange when mature.
Passiflora (Passifloraceae) in Taiwan
Authors: CHEN WEI-CHIH , CHUNG AN-CHING , WANG CHIH-CHIANG , YANG SHENG-ZEHN , CHEN PO-HAO
Published: March 2022

N/A
Safety of Drivers Against Drowsiness—An Urgent Need of Present Day World
Authors: Gandotra Sidhant , Mohan Sanjay
Published: March 2022

The risks associated with driving have resulted in severe tragedies and amongst these drowsiness is one such major risk. The state of drowsiness in drivers has led to accidents resulting in significant monetary losses, serious injuries and even deaths. Drivers involved in driving for
longer times and distances are more prone to the state of drowsiness. The issues related to drowsiness have encouraged many researchers to develop detection mechanisms so that accidents could be averted. Researchers have discovered that most common basis for the detection of drowsiness are
physiological based measures, behavioral based measures, subjective base measures and vehicle based measures. However, many researchers still endeavor to find more efficient solution for the detection of driver drowsiness. In this paper, major causes for drowsiness have been discussed. Various
systems based upon which drowsiness can be detected have also been elaborated. Moreover, the conclusion of this paper focuses upon the gaps which if worked upon will bring new ways and means for developing a better and reliable system for detecting drowsiness. This paper will significantly
contribute to the automobile industry as it will bring forth existing methods to detect drowsiness, and will also serve as a strong basis for the development of a robust drowsiness detection system which can be used as a safety feature for every automobile.
Implications of Smartphone Technology in Environmental Noise Monitoring in Indian Perspectives
Authors: Dhiman N. K. , Singh B. , Saini P. K. , Garg N.
Published: March 2022

The paper extensively reviews the recent studies conducted on environmental noise monitoring and control using smartphone applications. The methodologies and procedures adapted by several researchers utilizing smartphone technology has been summarized. The study also discusses the various
methods of calibration and the calibration factor observed for smartphone when compared to sound standard. This study concludes that the smartphone applications is an easy, cheap and convenient technology as compared to the conventional technology provided the calibration of smart phone microphone
is undertaken with reference to sound standard and free-field microphone for environmental noise measurements.
Mathematical Modeling of Reduction Zone of a Downdraft Biomass Gasifier
Authors: Srivastav Akshat , Arun P. , Muraleedharan C.
Published: March 2022

Gasification has become the most important biomass conversion processes in recent years. There is an imperative need of an accurate mathematical model that can save cost and time from performing expensive experiments. In this study, a one-dimensional model is developed and solved in
MATLAB to simulate a downdraft gasifier. The model incorporates the crucial effect of the pyrolysis fraction and char reactivity factor. The mass and energy balance are solved taking into account the kinetics of the reactions involved. The product composition, velocity, and pressure distribution
along with temperature profile in the reduction zone are then obtained. The results obtained from the model are in close agreement with the experimental results.
Novel Green Corrosion Protection for Mild Steel on Optimal Temperature and Pressure
Authors: Anbalagan S. , Ravisankar  , Govindhan R.
Published: March 2022

The green novel catalyst 1-[(4-nitrophenyl) methyl]-4-(pyridin-2-yl)piperazine (NMPP) polymer composite was synthesized by condensation polymerization. The polymer composite was characterized by Fourier transform infrared (FTIR), and high resolution scanning electron microscope (HR-SEM).
The inhibition action of the polymer composite was investigated by conventional weight loss method, and electrochemical impedance spectroscopy (EIS). The maximum corrosion inhibition efficiency of 88.34% was obtained at concentration level of 6% at 303 K. The results revealed NMPP as a mixed
type corrosion inhibitor, the thermodynamic and kinetic parameters also revealed adsorption of catalyst on to mild surface as exothermic and the adsorption was confirmed by conventional weight loss method. The morphology of mild steel coupons was investigated by HR-SEM. The HR-SEM results
showed novel catalyst to have inhibited corrosion on mild steel in 1 M HCL on CO2 environment.
Lightweight Materials for Automotive Applications: Aluminum and Magnesium Alloys
Authors: Sharma Shiv
Published: March 2022

To mitigate climate change and environmental protection industries have been putting emphasis on reduction in carbon dioxide (CO2) emissions. The transportation industry is one of the largest contributor of greenhouse gas (GHG) emissions. The European Union has set targets
of 20% reduction in GHG by 2020 compared with 1990 levels. In order to meet the rigorous requirements for more desirable fuel efficiency and emission control, there is an emerging trend to deploy Al and Mg alloys in place of usual steels and cast irons in automobiles. These materials (Al and
Mg) are however, more expensive than the steels and cast irons. Cast aluminium and magnesium components compared with cast irons and steel are potentially less expensive to produce because of their ease of machining and reduced manufacturing cycle times. Wrought aluminium and magnesium components
as compared with their ferrous counterparts are more expensive to produce. This article compares the uses of aluminium and magnesium alloys as substitutes for steels, cast irons for applications in the automotive industry.
Radiomic Signature as a Diagnostic Factor for Classification of Histologic Subtypes of Lung Cancer
Authors: Yao Xiang , Mao Ling , Yi Ke , Han Yuxiao , Li Wentao , Xiao Yingqi , Ji Jun , Wang Qingqing , Ren Ke
Published: March 2022

Objectives:
 To discuss the application of radiomics using Computerized Tomography (CT) analysis, for improving its diagnostic efficacy in lung, specifically in distinguishing Squamous Cell Carcinoma (SCC), lung Adenocarcinoma (ADC),
and Small Cell Lung Cancer (SCLC).

Methods:
 The pathology of 189 identified cases of lung cancer was analyzed, retrospectively (60 patients with SCC, 69 patients with lung ADC and 60 patients with SCLC). A neural network was used
to determine whether the pulmonary or mediastinal window was selected to extract effective radiomic features. The key features of radiomic signature were retrieved by a Least Absolute Shrinkage and Selection Operator (LASSO) multiple logistic regression model. Next, receiver operating characteristic
curve and Area Under the Curve (AUC) analysis were used to evaluate the performance of the radiomic signature in both, training(129 patients) and validation cohorts (60 patients).

Results:
 About 295 features were extracted from
a manually outlined tumor region. Features extracted from mediastinal window CT scans had a better prognostic ability than pulmonary window scans. The average accuracy for mediastinal window scans was 0.933. Our analysis revealed that the radiomic features extracted from mediastinal window
scans had the potential to build a prediction model for distinguishing between SCC, lung ADC, and SCLC. The performance of the radiomic signature to diagnose SCC and SCLC in validation cohorts proved effective, with AUC values of 0.869 and 0.859, respectively.

Conclusions:

A unique radiomic signature was constructed as a diagnostic factor for different histologic subtypes of lung cancer. Patients with lung cancer may benefit from this proposed radiomic signature.
Medical Surgical Video Recognition and Retrieval Based on Novel Unified Approximation
Authors: Sathiyaprasad B. , Seetharaman K.
Published: March 2022

Video retrieval recognition is a linear characterized action constituted by many frame similarity-based videos. This medical video recognition and classification can be a great extent in medical research, such as Endoscopic, radiological, pathological, and applied health informatics. General Video Retrieval Recognition (GVRR) cannot address a problem with recognition alone. GVRR can be solving the Multi-Input-Multi-Output (MIMO) interface mixed video retrieval system. To generalize the conventional video retrieval interface like Multi-user MIMO, WiMAX MIMO, single-user MIMO, several types of research made excused. In fine-tuning existing video retrieval, this research gives the authentic procedure for a frame-based cognitive operation called Secure Approximation and sTability Based Secure Video Retrieval recognition (SAT-SR) recognition proposed. In this research article, the process of recognition has three processes generalized by the video retrieval system. Initially, the virtual dissection and connection weights of input video were established using the mathematical and numerical analysis of interpolation estimation. Secondly, the interpolation approximation and activation function were figured out using the Open Mcrypt Stimulus (oMs) for video security fragments. Similarly, systematic investigations are accomplished for approximation error computation. The result for this widely circulated utilization of three processes on the video retrieval recognition prevents the occurrence of the cybercrime abuse of stored video registers. The proposed technique was used to identify the virtual dissection, interpolation, and activation function for decoding the videos. Using this information, the abusers identified cybercrime rate might be reduced considerably.
Advances in the Subseasonal Prediction of Extreme Events: Relevant Case Studies across the Globe
Authors: Domeisen Daniela I. V. , White Christopher J. , Afargan-Gerstman Hilla , Muñoz Ángel G. , Janiga Matthew A. , Vitart Frédéric , Wulff C. Ole , Antoine Salomé , Ardilouze Constantin , Batté Lauriane , Bloomfield Hannah C. , Brayshaw David J. , Camargo Suzana J. , Charlton-Pérez Andrew , Collins Dan , Cowan Tim , del Mar Chaves Maria , Ferranti Laura , Gómez Rosario , González Paula L. M. , González Romero Carmen , Infanti Johnna M. , Karozis Stelios , Kim Hera , Kolstad Erik W. , LaJoie Emerson , Lledó Llorenç , Magnusson Linus , Malguzzi Piero , Manrique-Suñén Andrea , Mastrangelo Daniele , Materia Stefano , Medina Hanoi , Palma Lluís , Pineda Luis E. , Sfetsos Athanasios , Son Seok-Woo , Soret Albert , Strazzo Sarah , Tian Di
Published: March 2022

Extreme weather events have devastating impacts on human health, economic activities, ecosystems, and infrastructure. It is therefore crucial to anticipate extremes and their impacts to allow for preparedness and emergency measures. There is indeed potential for probabilistic subseasonal prediction on time scales of several weeks for many extreme events. Here we provide an overview of subseasonal predictability for case studies of some of the most prominent extreme events across the globe using the ECMWF S2S prediction system: heatwaves, cold spells, heavy precipitation events, and tropical and extratropical cyclones. The considered heatwaves exhibit predictability on time scales of 3–4 weeks, while this time scale is 2–3 weeks for cold spells. Precipitation extremes are the least predictable among the considered case studies. ­Tropical cyclones, on the other hand, can exhibit probabilistic predictability on time scales of up to 3 weeks, which in the presented cases was aided by remote precursors such as the Madden–Julian oscillation. For extratropical cyclones, lead times are found to be shorter. These case studies clearly illustrate the potential for event-dependent advance warnings for a wide range of extreme events. The subseasonal predictability of extreme events demonstrated here allows for an extension of warning horizons, provides advance information to impact modelers, and informs communities and stakeholders affected by the impacts of extreme weather events.
Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude?
Authors: Coburn Jacob , Pryor Sara C.
Published: March 2022

Wind gusts, and in particular intense gusts, are societally relevant but extremely challenging to forecast. This study systematically assesses the skill enhancement that can be achieved using artificial neural networks (ANNs) for forecasting of wind gust occurrence and magnitude. Geophysical predictors from the ERA5 reanalysis are used in conjunction with an autoregressive term in regression and ANN models with different predictors, and varying model complexity. Models are derived and assessed for the warm (April–September) and cold (October–March) seasons for three high passenger volume airports in the United States. Model uncertainty is assessed by deriving models for 1000 different randomly selected training (70%) and testing (30%) subsets. Gust prediction fidelity in independent test samples is critically dependent on inclusion of an autoregressive term. Gust occurrence probabilities derived using five-layer ANNs exhibit consistently higher fidelity than those from regression models and shallower ANNs. Inclusion of the autoregressive term and increasing the number of hidden layers in ANNs from 1 to 5 also improve the model performance for gust magnitudes (lower RMSE, increased correlation, and model standard deviations that more closely approximate observed values). Deeper ANNs (e.g., 20 hidden layers) exhibit higher skill in forecasting strong (17–25.7 m s−1) and damaging (≥25.7 m s−1) wind gusts. However, such deep networks exhibit evidence of overfitting and still substantially underestimate (by 50%) the frequency of strong and damaging wind gusts at the three airports considered herein.

Significance Statement

Improved short-term forecasting of wind gusts will enhance aviation safety and logistics and may offer other societal benefits. Here we present a rigorous investigation of the relative skill of models of wind gust occurrence and magnitude that employ different statistical methods. It is shown that artificial neural networks (ANNs) offer considerable skill enhancement over regression methods, particularly for strong and damaging wind gusts. For wind gust magnitudes in particular, application of deeper learning networks (e.g., five or more hidden layers) offers tangible improvements in forecast accuracy. However, deeper networks are vulnerable to overfitting and exhibit substantial variability with the specific training and testing data subset used. Also, even deep ANNs reproduce only half of strong and damaging wind gusts. These results indicate the need for future work to elucidate the dynamical mechanisms of intense wind gusts and advance solutions to their prediction.
Without Role Models: A Few Pioneering Women Engineers in Asia
Authors: Chowdhury Fahmida N.
Published: March 2022

The importance of role models in inspiring and influencing the career paths of young people cannot be overstated, particularly in the fields where certain population segments are under-represented. However, when there are no role models, a few exceptional people become pioneers; these are people who carve out their own paths. Most research in early history of women in engineering focuses on the Western world, with relatively little information from the other parts of the globe. This paper presents the stories of a few Asian women who went against the odds, against social norms and expectations, without role models, and ventured into the field of engineering.
Cardiovascular Manifestations, Imaging, and Outcomes in Systemic Lupus Erythematosus: An Eight-Year Single Center Experience in the United States
Authors: Ming Wang Tom Kai , Chan Nicholas , Khayata Mohamed , Flanagan Patrick , Grimm Richard A , Griffin Brian P , Husni M. Elaine , Littlejohn Emily , Xu Bo
Published: March 2022

Systemic lupus erythematosus (SLE) is a challenging autoimmune and multi-system condition. With advances in cardiovascular screening and therapies for SLE patients, we evaluated the cardiovascular characteristics, multi-modality imaging, and outcomes of SLE at our tertiary referral center over an 8 year period. Consecutive patients from our SLE registry from April 2012 to March 2020 were retrospectively analyzed. Data pertaining to cardiovascular manifestations, investigations, management, and outcomes were assessed. We studied 258 SLE patients (mean age 42.2 ± 14.7 years); 233 (90.3%) were female. The main cardiac manifestations at index SLE clinic were pericardial disease in 33.3%, valve disease in 18%, cardiomyopathy in 9.6%, and stroke in 7.4%. During a mean follow-up of 3.0 ± 2.2 years after index SLE clinic, there were 5 (1.9%) deaths, 24 (9.3%) cardiovascular events, and 44 (17.1%) SLE-related hospitalizations. A history of stroke and hypertension were independently associated with cardiovascular events, hazard ratio (HR) (95% confidence intervals (CI)) of 5.38 (1.41–20.6) and 3.31 (1.02–10.7), respectively, while younger age and lower albumin predicted SLE-related hospitalizations. Cardiovascular manifestations are prevalent in SLE, especially for pericardial, valvular, and atherosclerotic diseases. With contemporary SLE and cardiovascular management, subsequent adverse cardiovascular events were infrequent in this study.