Review on the enhancement and performance of continues helical baffles tie double pipe heat exchanger

This paper provides a review of the major work done on helical baf?es to improve the performance of shell and tube heat exchangers. Some of the major factors affecting the performance of shell and tube heat exchanger are discussed. The CFD modeling and experimental are showed from different studies that an increase in turbulence intensity could be one of the reasons for higher performance augmentation methods with the plain tubes heat exchanger. Heat transfer performance and flow resistance of the shell side of the double-pipe heat exchanger with helical baffle can be done investigated by using CFD numerical simulation software

比例筋電位制御に向けた筋シナジーの抽出、解釈、および応用の研究

Transfer of human intentions into myoelectric hand prostheses is generally achieved by learning a mapping, directly from sEMG signals to the Kinematics using linear or nonlinear regression approaches. Due to the highly random and nonlinear nature of sEMG signals such approaches are not able to exploit the functions of the modern pros- thesis, completely. Inspired from the muscle synergy hypothesis in the motor control community, some studies in the past have shown that better estimation accuracies can be achieved by learning a mapping to kinematics space from the synergistic features extracted from sEMG. However, mainly linear algorithms such as Principle Compo- nent Analysis (PCA), and Non-negative matrix factorization (NNMF) were employed to extract synergistic features, separately, from EMG and kinematics data and have not considered the nonlinearity and the strong correlation that exist between finger kine- matics and muscles. To exploit the relationship between EMG and Finger Kinematics for myoelectric control, we propose the use of the Manifold Relevance Determination (MRD) model (multi-view learning) to find the correspondence between muscular and kinematics by learning a shared low-dimensional representation. In the first part of the study, we present the approach of multi-view learning, interpretation of extracted non- linear muscle synergies from the joint study of sEMG and finger kinematics and their use in estimating the finger kinematics for the upper-limb prosthesis. Applicability of the proposed approach is then demonstrated by comparing the kinematics estimation accuracies against linear synergies and direct mapping. In the second part of the study, we propose a new approach to extract nonlinear muscle synergies from sEMG using multiview learning which addresses the two main drawbacks (1. Inconsistent synergistic patterns upon addition of sEMG signals from more muscles, 2. Weak metric for accessing the quality and quantity of muscle synergies) of established algorithms and discuss the potential of the proposed approach for reducing the number of electrodes with negligible degradation in predicted kinematics.九州工業大学博士学位論文 学位記番号：生工博甲第372号 学位授与年月日：令和2年3月25日1 Introduction|2 Related Work|3 Extraction of nonlinear synergies for proportional and simultaneous estimation of finger kinematics|4 An Approach to Extract Nonlinear Muscle Synergies from sEMG through Multi-Model Learning|5 Conclusion and Future Work九州工業大学令和元年

比例筋電位制御に向けた筋シナジーの抽出、解釈、および応用の研究

九州工業大学博士学位論文（要旨）学位記番号：生工博甲第372号 学位授与年月日：令和2年3月25

Effect of seaweed saps on growth, yield, nutrient uptake and economic improvement of maize (sweet corn)

A field experiment was conducted during the rabi season of 2012-13 at Research cum Instructional Farm of Indira Gandhi Krishi Vishwavidyalaya, Raipur (Chhattisgarh) to study the effects of seaweed saps on growth, yield, nutrient uptake and economic of maize (sweet corn) in Matasi soil of Chhattisgarh. The foliar spray of two different species (namely Kappaphycus and Gracilaria) was applied thrice at different interval of crop with different concentrations (0, 2.5, 5.0, 7.5, 10.0 and 15% v/v) of seaweed extracts. Foliar applications of seaweed extract significantly enhanced the growth, yield, nutrient uptake and B:C ratio parameters. The green cob yield (189.97 q ha-1) and fodder yield (345.19 q ha-1) were recorded highest under treatment (T8) 15% G Sap + recommended dose of fertilizer (RDF) which was significant similar with treatment 15% K Sap + RDF (185.24 q ha-1) in case of green cob yield. The highest N, P and K uptake by green cob and fodder were observed under 15% G Sap + RDF (T8). Treatment 15% G Sap + RDF (T8), recorded maximum gross return (Rs. 2,07,230 ha-1), net return (Rs. 1,38,756 ha-1) and B:C ratio (2.0), which was followed by treatment 15% K Sap + RDF (T4) with net return (Rs. 1,33,199 ha-1) and B:C ratio (1.95). Treatment 15% G Sap + RDF (T8) gave Rs. 45,996 ha-1 more as compared to Water spray + RDF (T9)

Catalysed-microwave based Pretreatment of Lignocellulosic Biomass of Camelina Sativa L. for Bio-Fuel Production

Lignocellulosic biomasses are promising alternative resource for bio-fuel production. But due to the recalcitrant nature of lignin and hemicellulose, necessitates an efficient pre-treatment process to improve the yield of reducing sugars and maximising the enzymatic hydrolysis efficiency. Catalysed-microwave pre-treatment may be a good alternative as compared to other methods since it can reduce the time and improve the enzymatic activity during hydrolysis. The aim of this study was to evaluate the efficiency of the catalysed-microwave based pre-treatment of lignocellulosic biomass of Camelina sativa straw (CSS) to overcome the recalcitrant nature of cellulosic biomass. The microwave-alkaline (2 % NaOH) pre-treatment of CSS at 250 W for 10 min yields maximum (~422 mg/g) total soluble sugars (TSS) production during hydrolysis. Likewise, the maximum glucose content (~294 mg/g) was measured in 2 % alkaline-microwave pre-treatment for 10 min at RT. However, slight increase in lignin degradation was observed with the increase in alkaline hydroxide concentration and microwave irradiation exposure time. The maximum degradation in lignin content (~83 %) was measured in 3 % alkaline-microwave pre-treatment for 20 min at RT. Our results suggest that the microwave-alkaline pre-treatment approach may be employed for comprehensive utilisation of CSS biomass of Camelina sativa L. cv. Calena (EC643910) for bio-fuel production

Congenital absence of lunate and triquetrum with hypoplastic scaphoid – a case report and review of literature

The absence or hypoplasia of bones or deformities associated with various bones have been documented in the past by various authors. These absent or hypoplastic carpal bones have mostly been associated with various congenital syndromes and anomalies. Here, a case is reported with absent lunate and triquetrum with hypoplastic scaphoid bone without any congenital anomaly or syndrome

Extraction of Nonlinear Synergies for Proportional and Simultaneous Estimation of Finger Kinematics

Objective: Proportional and simultaneous estimation of finger kinematics from surface EMG based on the assumption that there exists a correlation between muscle activations and finger kinematics in low dimensional space. Methods: We employ Manifold Relevance Determination (MRD), a multi-view learning model with a nonparametric Bayesian approach, to extract the nonlinear muscle and kinematics synergies and the relationship between them by studying muscle activations (input-space) together with the finger kinematics (output-space). Results: This study finds that there exist muscle synergies which are associated with kinematic synergies. The acquired nonlinear synergies and the association between them has further been utilized for the estimation of finger kinematics from muscle activation inputs, and the proposed approach has outperformed other commonly used linear and nonlinear regression approaches with an average correlation coefficient of 0.91±0.03. Conclusion: There exists an association between muscle and kinematic synergies which can be used for the proportional and simultaneous estimation of finger kinematics from the muscle activation inputs. Significance: The findings of this study not only presents a viable approach for accurate and intuitive myoelectric control but also provides a new perspective on the muscle synergies in the motor control community

A Review on Role of Shankhpushpi Kalka and Yashtimadhu Taila Shirodhara towards the Management of Anidra

Insomnia (Anidra) is one of the common health issues of current global scenario and number of such patients increases day by day sue to the diversified living pattern. The disease mainly associated with mental anxiety, grief, anger, depression and presence of other disease conditions. The modern medical science utilizes antipsychotic, sedatives and anti-depressant medicine for the management of insomnia while Ayurveda focuses to pacify disease pathology through Shodhna; Shirodhara, Nasya karma, Murdhni Chikitsa, use of natural herbs and Ayurveda formulations. The Ayurveda formulations containing herbs like Shankhpushpi and Yashtimadhu offers beneficial effects in Anidra, therefore in present article we emphasizes role of some classical therapies for the management of Anidra. Keywords: Ayurveda, Anidra, Shankhpushpi, Shirodhara, Yashtimadh