Control of a Prosthetic Arm Using fNIRS, a Neural-Machine Interface

Development in the field of bio-mechatronics has provided diverse ways to mimic and improve the function of human limbs. Without an elbow joint, the hand remains stiff because all the muscles tension passes through this joint. Advanced myoelectric prosthetic devices are limited due to the lack of appropriate signal sources on residual amputee muscles and insufficient real-time control. Neural-machine interfaces (NMI) are representing a recent approach to develop effective applications. In this research study, an NMI is designed that presents real-time signal processing for command generation. The human brain hemodynamic responses are, therefore, translated into control commands for people suffering from transhumeral amputation. A novel and first of its kind scheme is proposed which utilizes functional near-infrared spectroscopy (fNIRS) to generate the control commands for a three-degree-of-freedom (DOF) prosthetic arm. The time window for fNIRS signals was set to 1 second. The average accuracy was found to be 82% which is a state-of-the-art result for such a technique. The accuracy ranged from 65 to 85% subject-wise. The data were trained and tested on both artificial neural network (ANN) and linear discriminant analysis (LDA). Eight out of 10 motions were correctly predicted in real time by both classifiers

Design of Portable Exoskeleton Forearm for Rehabilitation of Monoparesis Patients Using Tendon Flexion Sensing Mechanism for Health Care Applications

Technology plays a vital role in patient rehabilitation, improving the quality of life of an individual. The increase in functional independence of disabled individuals requires adaptive and commercially available solutions. The use of sensor-based technology helps patients and therapeutic practices beyond traditional therapy. Adapting skeletal tracking technology could automate exercise tracking, records, and feedback for patient motivation and clinical treatment interventions and planning. In this paper, an exoskeleton was designed and subsequently developed for patients who are suffering from monoparesis in the upper extremities. The exoskeleton was developed according to the dimensions of a patient using a 3D scanner, and then fabricated with a 3D printer; the mechanism for the movement of the hand is a tendon flexion mechanism with servo motor actuators controlled by an ATMega2560 microcontroller. The exoskeleton was used for force augmentation of the patient’s hand by taking the input from the hand via flex sensors, and assisted the patient in closing, opening, grasping, and picking up objects, and it was also able to perform certain exercises for the rehabilitation of the patient. The exoskeleton is portable, reliable, durable, intuitive, and easy to install and use at any time

Changes in the spatial distribution of COVID-19 incidence in Italy using GIS-based maps

Massive spreading of the pandemic Coronavirus Disease 2019 (COVID-19) in different continents [1, 2], have been observed. Analyses mostly focused on the number of cases per country and administrative levels, multiple times without considering the relevance of the incidence rates. These help to see the concentration of disease among the population in terms of cases per 100,000 inhabitants. Even more using geographical information systems (GIS)-based maps stakeholder may rapidly analyze changes in the epidemiological situation [3, 4]. Although the epidemic of COVID-19 caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in Italy on January 31, 2020, no reports on the use of GIS-based maps have been published to analyze the distinct differences in incidence rates across its regions and provinces during the last months. For these reasons, we have developed epidemiological maps of incidence rates using official populations, by regions and provinces, for COVID-19 in Italy using GIS.N/

Paenibacillus glacialis sp. nov., isolated from the Kafni glacier of the Himalayas, India

A novel strain of the genus Paenibacillus, KFC91<SUP>T</SUP>, was isolated from the Kafni glacier of the Himalayas. Phylogenetic analysis based on 16S rRNA gene sequences showed that strain KFC91<SUP>T</SUP> clustered with Paenibacillus antarcticus LMG 22078<SUP>T</SUP> (98.9%) and Paenibacillus macquariensis LMG 6935<SUP>T</SUP> (98.7%). The cell wall peptidoglycan contained meso-diaminopimelic acid as the diamino acid, anteiso-C<SUB>15:0</SUB> as the predominant fatty acid and MK-7 as the major isoprenoid quinone. Based on the phylogenetic analysis, chemotaxonomic characteristics and other phenotypic traits, strain KFC91<SUP>T</SUP> was assigned to the genus Paenibacillus. DNA-DNA hybridization experiments of KFC91<SUP>T</SUP> with P. antarcticus and P. macquariensis showed reassociation values of 39 and 52%, respectively. Thus, it is proposed that strain KFC91<SUP>T</SUP> should be assigned the status of a novel species of the genus Paenibacillus and the name proposed is Paenibacillus glacialis sp. nov., with KFC91<SUP>T</SUP> (=NCCB 100252<SUP>T</SUP>=DSM 22343<SUP>T</SUP>) as the type strain

Approach to Multi-Attribute Decision-Making Methods for Performance Evaluation Process Using Interval-Valued T-Spherical Fuzzy Hamacher Aggregation Information

Interval-valued T-spherical fuzzy set (IVTSFS) handles uncertain and vague information by discussing their membership degree (MD), abstinence degree (AD), non-membership degree (NMD), and refusal degree (RD). MD, AD, NMD, and RD are defined in terms of closed subintervals of [0,&nbsp;1] that reduce information loss compared to the T-spherical fuzzy set (TSFS), which takes crisp values from [0,&nbsp;1] intervals; hence, some information may be lost. The purpose of this manuscript is to develop some Hamacher aggregation operators (HAOs) in the environment of IVTSFSs. To do so, some Hamacher operational laws based on Hamacher t-norms (HTNs) and Hamacher t-conorms (HTCNs) are introduced. Using Hamacher operational laws, we develop some aggregation operators (AOs), including an interval-valued T-spherical fuzzy Hamacher (IVTSFH) weighted averaging (IVTSFHWA) operator, an IVTSFH-ordered weighted averaging (IVTSFHOWA) operator, an IVTSFH hybrid averaging (IVTSFHHA) operator, an IVTSFH-weighted geometric (IVTSFHWG) operator, an IVTSFH-ordered weighted geometric (IVTSFHOWG) operator, and an IVTSFH hybrid geometric (IVTSFHHG) operator. The validation of the newly developed HAOs is investigated, and their basic properties are examined. In view of some restrictions, the generalization and proposed HAOs are shown, and a multi-attribute decision-making (MADM) procedure is explored based on the HAOs, which are further exemplified. Finally, a comparative analysis of the proposed work is also discussed with previous literature to show the superiority of our work

Induction of apoptosis in AK-5 cells by rotenone involves participation of Caspases

77-81AK-5 tumour cells undergo apoptosis after treatment with rotenone an electron transport inhibitor and oligomycin which inhibits mitochondrial ATPases. Apoptotic process involves the induction of caspases 2 and 3, whereas caspase 1 does not seem to be participating in rotenone/oligomycin induced apoptosis.DEVD which is a specific inhibitor of caspase 3, inhibited apoptosis in AK-5 cells. We have also observed a significant lowering of intracellular pH in AK-5 cells which are induced into the apoptotic process by rotenone. These results suggest an important role for mitochondrial electron transport in the induction of apoptosis in AK-5 tumour cells. </span

fNIRS-Based Upper Limb Motion Intention Recognition Using an Artificial Neural Network for Transhumeral Amputees

Prosthetic arms are designed to assist amputated individuals in the performance of the activities of daily life. Brain machine interfaces are currently employed to enhance the accuracy as well as number of control commands for upper limb prostheses. However, the motion prediction for prosthetic arms and the rehabilitation of amputees suffering from transhumeral amputations is limited. In this paper, functional near-infrared spectroscopy (fNIRS)-based approach for the recognition of human intention for six upper limb motions is proposed. The data were extracted from the study of fifteen healthy subjects and three transhumeral amputees for elbow extension, elbow flexion, wrist pronation, wrist supination, hand open, and hand close. The fNIRS signals were acquired from the motor cortex region of the brain by the commercial NIRSport device. The acquired data samples were filtered using finite impulse response (FIR) filter. Furthermore, signal mean, signal peak and minimum values were computed as feature set. An artificial neural network (ANN) was applied to these data samples. The results show the likelihood of classifying the six arm actions with an accuracy of 78%. The attained results have not yet been reported in any identical study. These achieved fNIRS results for intention detection are promising and suggest that they can be applied for the real-time control of the transhumeral prosthesis

Expression of CD34 and α-SMA Markers in Oral Squamous Cell Carcinoma Differentiation. A Histological and Histo-Chemical Study

To reduce morbidity and mortality rates of OSCC cases, early diagnosis, assessment of behavior and prognostic estimates are vital. This study analyzed the expression of CD34 and alpha smooth muscle actin (&alpha;-SMA) in OSCC, to establish their significance in diagnosis and prognosis. Primary cases of OSCC, diagnosed with excisional biopsy at multiple cancer treatment centers, were included. Tissue sections were embedded and stained with H &amp; E for histological differentiation and invasion of tumor vessel. Immunohistochemistry was performed using antibodies against CD34 and &alpha;-SMA. The chi-square and Pearson correlation coefficient (r) tests were applied for data analysis. Eighty patients with fifty males (62.5%) and thirty females (37.5%) and mean age of 45 &plusmn; 14.1 years were evaluated. Buccal mucosa was the most common site for OSCC lesions [36 (45%)]; 47.5% of lesions were moderately differentiated and 33.8% were well-differentiated lesions. Invasion of tumor vessels was observed in 35% of specimens. A significant association was seen between CD34 expression and histological grading of OSCC (p &lt; 0.002). Among all poorly differentiated OSCC specimens, expression of CD 34 was low and &alpha;-SMA was high. CD 34 is a critical prognostic factor in OSCC diagnosis and increased &alpha;-SMA-positive myofibroblasts may indicate aggressive OSCC behavior

Medicinal Biospecificity of Ginger and Its Efficacious Bioactive Compounds in the Context of Its Biological Activities Against Predominant Health Issues: Current Study and New Avenues

There is a multitude of life-threatening and widespread health issues worldwide, regarding weak immunity, severe inflammation, viral infections, bacterial infections as well as antimicrobial resistance (AMR), high free radicals generation, and cancer. Ginger, a perennial plant of the Zingiberaceae family with several authentic nutritional and medicinal values used in many countries as traditional medicine. That is why, the study was designed to highlight recent studies about medicinally most efficacious bio-active compounds of ginger along their biological significance related to immuno-stimulatory, anti-inflammatory, anti-viral, anti-bacterial, anti-oxidant, and anti-cancer effects. Our study also recognized future gaps in research. The study included professional research data under duration from 2001-2022 appearing in books and scholarly journals, collected from scientific database platforms via PubMed, Web of Science, Google Scholar, Springer Nature, Science Direct and Scopus. The present study includes the medicinal effects of almost 44 most influential ginger compounds like phenolics, terpenoids, flavonoids, and vinyllyl ketonic compounds etc. Our results revealed the strong alleviating effects of gingerols, shogaols, paradols, and polyphenols. Moreover, the ginger essential oil has proven to be very effective both for antiviral and antibacterial activity. However, no data is available in previous literature for components of ginger involved in immuno-stimulatory, effects. There is also a need to explore components for antibacterial activity. However, research has been conducted on ginger for only a few viruses despite its strong alleviating effects. Besides this, more study is needed to comprehend the comprehensive mechanism of action (especially at the molecular level) regarding the anti-bacterial and anti-viral activity of ginger and its constituents

Diagnostic performance of GeneXpert MTB/RIF assay compared to conventional Mycobacterium tuberculosis culture for diagnosis of pulmonary and extrapulmonary tuberculosis, Nepal

Tuberculosis is an infectious disease caused by the Mycobacterium tuberculosis. It is a global health problem and major cause of death in resource-limited countries like Nepal. Timely diagnosis with sensitive testing methods could assist in early management of the disease. This study was conducted to compare the diagnostic performance of GeneXpert MTB/RIF and conventional acid-fast staining with M. tuberculosis culture. The study was carried out in the Department of Microbiology, Shree Birendra Army Hospital, Nepal. Samples (n=500) were tested with a GeneXpert MTB/RIF assay and acid-fast bacilli (AFB) smear microscopy. All samples were sent for M. tuberculosis conventional culture by the German-Nepal Tuberculosis Project, Kathmandu, Nepal (GENETUP). Out of a total 500 pulmonary and extrapulmonary samples tested, 97 samples were positive for M. tuberculosis by GeneXpert MTB/RIF assay. Out of the positive samples, only 95 samples were found positive by the culture method. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of AFB microscopy was 45.3%, 99.5%, 99.5% and 88.5%, respectively. The sensitivity, specificity, PPV and NPV of GeneXpert MTB/RIF was found to be 100%, 99.5%, 97.5% and 100%, respectively compared to the gold standard culture method. The GeneXpert MTB/RIF test was comparable with culture diagnosis of both pulmonary and extrapulmonary tuberculosis cases