bluuebunny/crossref_metadata_2025 huggingface dataset:
Charge transport and impedance analysis of solution‐processed perovskite‐based device
Authors: Chaudhary Swati , Yadav Varsha , Negi Chandra Mohan Singh , Gupta Saral K.
Published: November 2019

Herein, this work scrutinises the charge transport properties of solution‐processed methylammonium lead iodide (MAPbI3) perovskite‐based hole only device through the DC current–voltage and AC impedance spectroscopy analysis. The device shows a significant increase in the current levels under illumination. Key diode parameters were estimated from the dark I–V curves. The dominance of Ohm's law at low bias, space charge limited conduction (SCLC) followed trap controlled SCLC at higher applied bias was observed from charge transport analysis. From the region dominated by the trap free SCLC, the hole mobility of 4.02 × 10−6 cm2 V−1 s−1 inside the perovskite layer was extracted. The measured impedance spectrum was analysed by fitting it with the equivalent circuit model, and the various physical parameters, such as charge transport resistance, recombination resistance and associated capacitance were approximated for the device.
One Versus Two Doses of Intravenous Tranexamic Acid in Total Knee Arthroplasty
Authors: Charette Ryan S. , Bernstein Jenna A. , Sloan Matthew , Nchako Corbyn M. , Kamath Atul F. , Nelson Charles L.
Published: November 2019

Tranexamic acid (TXA) has been shown to reduce blood loss and postoperative transfusions in total knee arthroplasty (TKA). There is no consensus on the ideal dosing regimen in the literature, although there is a growing body of literature stating there is little benefit to additional doses. Our study compared one versus two doses of TXA in primary TKA and its effect on postoperative transfusion rate. We retrospectively reviewed patients undergoing primary TKA at our two high-volume arthroplasty centers between 2013 and 2016. Patients were included if they underwent unilateral primary TKA, and received one or two doses of intravenous TXA. Patients receiving therapeutic anticoagulation were excluded. Our primary outcome was postoperative transfusion rate. Secondary outcomes included blood loss, length of stay, rate of deep vein thrombosis or pulmonary embolism (DVT/PE), readmission and reoperation.

A total of 1,191 patients were included: 891 received one dose and 300 received two doses. There was no significant difference in rate of transfusion, deep vein thrombosis or pulmonary embolism (DVT/PE), blood volume loss, and reoperation. There was a significantly higher risk of readmission (6.7 vs. 2.4%, odds ratio [OR] 2.96, p < 0.001) and reoperation (2.0 vs. 0.6%, OR 3.61, p = 0.024) in patients receiving two doses. These findings were similar with subgroup analysis of patients receiving only aspirin prophylaxis.

In unilateral TKA, there is no difference in transfusion rate with one or two doses of perioperative TXA. There was no increased risk of thromboembolic events between groups, although the two-dose group had a higher rate of readmission and reoperation. Given the added cost without clear benefit, these findings may support administration of one rather than two doses of TXA during primary TKA.
Improved Patient Satisfaction following Robotic-Assisted Total Knee Arthroplasty
Authors: Smith Austin F. , Eccles Christian J. , Bhimani Samrath J. , Denehy Kevin M. , Bhimani Rohat B. , Smith Langan S. , Malkani Arthur L.
Published: November 2019

Approximately 20% of the patients are dissatisfied with their total knee arthroplasty (TKA). Computer technology has been introduced for TKA to provide real time intraoperative information on limb alignment and exact flexion/extension gap measurements. The purpose of this study was to determine if patient satisfaction could be improved with the use of robotic-assisted (RA) technology following primary TKA. A total of 120 consecutive patients undergoing RA-TKA with real time intraoperative alignment and gap balancing information were compared with a prospective cohort of 103 consecutive patients undergoing TKA with manual jig-based instruments during the same time period. There were no differences between groups with age, gender, baseline Knee Society Score (KSS) knee and function scores, follow-up, and ASA scores. TKAs were performed using same technique, implant design, anesthesia, and postoperative treatment protocols. Patient satisfaction survey using KSS and Likert scoring system were obtained at 1-year follow-up. Likert scoring system demonstrated 94% of the patients in the RA group were either very satisfied or satisfied versus 82% in the manual instruments TKA group (p = 0.005). RA-TKA group had better average scores of all five satisfaction questions although not significant. RA-TKA group had a better average overall satisfaction score of 7.1 versus 6.6 in the manual instrument group, p = 0.03. KSS function scores were significantly better at 6 weeks and 1 year postoperatively (p = 0.02, 0.005), and KSS knee scores were significantly better at 1 year postoperatively (p = 0.046). There are multiple reasons for patient dissatisfaction following primary TKA. Using intraoperative computer technology with RA surgery for patients undergoing a primary TKA, a significant improvement in patient satisfaction was demonstrated compared with TKA using conventional manual jig-based instruments. RA surgery provides several advantages in TKA including real time information in millimeters to help obtain balanced gaps, accurate bone cuts, reduced soft tissue injury, and achieve the target alignment which may lead to improved patient satisfaction.
Imbalance between Fibrin Clot Formation and Fibrinolysis Predicts Cardiovascular Events in Patients with Stable Coronary Artery Disease
Authors: Neergaard-Petersen Søs , Larsen Sanne B. , Grove Erik L. , Kristensen Steen D. , Ajjan Ramzi A. , Hvas Anne-Mette
Published: November 2019

Background Despite long-term antiplatelet therapy with aspirin, recurrent cardiovascular events remain common in patients with coronary artery disease (CAD).

Objective We aimed to determine whether fibrin network characteristics are predictive of vascular events in patients with stable CAD treated with aspirin monotherapy.

Methods We included 786 patients with angiographically documented CAD and either prior myocardial infarction, type 2 diabetes mellitus, or both. Median follow-up time was 3 years. At inclusion, fibrin clot properties were evaluated using a turbidimetric assay and the following clot parameters were studied: (1) maximum absorbance, a measure of clot density and fiber thickness; (2) lysis time, assessing fibrinolysis potential; and (3) area under the curve (AUC), a measure of clot formation and lysis. The primary endpoint was the composite of nonfatal myocardial infarction, ischemic stroke, and cardiovascular death. Hazard ratios (HRs) were estimated using multivariable Cox proportional hazards regression.

Results A total of 70 primary endpoints occurred. The primary endpoint occurred more frequently in CAD patients with increased clot AUC (crude HR for first vs. fourth quartile: 2.4 [95% confidence interval 1.2–4.6], p = 0.01). This finding remained significant after adjusting for potential confounders (adjusted HR: 2.4 [1.2–4.8], p = 0.01). Neither clot maximum absorbance nor lysis time showed significant association with future vascular events (adjusted HR for maximum absorbance 1.8 [0.9–3.7]; p = 0.09) and lysis time (1.6 [0.8–3.0]; p = 0.18).

Conclusion We demonstrate that increased clot AUC predicts future cardiovascular events in stable CAD patients receiving aspirin monotherapy.
Midterm Outcomes of Surgical Repair of Partial Anomalous Pulmonary Venous Connection to SVC
Authors: Hu Jie , Hu Renjie , Zhang Haibo , Zhang Lei , Zhang Wen , Chen Dian , Dong Wei
Published: November 2019

Objectives We explore midterm results after surgical treatment of partial anomalous pulmonary venous connection (PAPVC) to superior vena cava (SVC) in our institution.

Methods From 2008 to 2017, 78 patients underwent surgical repair for PAPVC to SVC. Patients were divided into three groups based on surgical techniques: Single-patch repair (n = 20, group A), double-patch repair (n = 31, group B), and Warden repair (n = 27, group C). Their median age was 1.9 years (range: 3 months–13.8 years); median weight was 11.4 kg (range: 4.4–39.7 kg). Clinical, electrocardiographic and echocardiographic were available for all patients.

Results There were no early or late mortality. The mean follow-up duration was 1.8 ± 2.1 years (range: 0.6 months to 8 years). No pulmonary venous obstruction occurred and no residual left-to-right shunts sustained during the follow-up. Reoperation for SVC obstruction was required: 1 (5.3%) in group A, 1 (3.2%) in group B, and 2 (7.4%) in group C (p = 0.78). Four patients (3 in group B, 1 in group C, p = 0.7) presented transient rhythm disturbance at discharge and one patient in group B remains nonsinus rhythm during follow-up. Pacemaker was not required in all patients.

Conclusion PAPVC to SVC can be safely managed by multiple techniques. Careful manipulation nearby sinus node must be emphasized during double-patch repair to prevent injury of sinus node. Obstruction of postoperative SVC stenosis should be paid attention to after Warden procedure. For young patients, operation should not be performed that early, but until preschool age.
Surgical Cytoreduction and HITOC for Thymic Malignancies with Pleural Dissemination
Authors: Markowiak Till , Neu Reiner , Ansari Mohammed Khalid Afeen , Großer Christian , Klinkhammer-Schalke Monika , Hofmann Hans-Stefan , Ried Michael
Published: November 2019

Background Objective of this study was to assess postoperative morbidity and mortality as well as recurrence-free and overall survival in patients with thymic malignancies and pleural dissemination undergoing surgical cytoreduction and hyperthermic intrathoracic chemotherapy (HITOC).

Methods Retrospective study between September 2008 and December 2017 with follow-up analysis in May 2018.

Results A total of 29 patients (male: n = 17) with thymic malignancies and pleural spread (primary stage IVa: n = 11; pleural recurrence: n = 18) were included. Surgical cytoreduction was performed via pleurectomy/decortication (P/D; n = 11), extended P/D (n = 15), and extrapleural pneumonectomy (EPP; n = 3). These procedures resulted in 25 (86%) patients with macroscopically complete (R0/R1) resection. Intraoperative HITOC was performed for 60 minutes at 42°C either with cisplatin (100 mg/m2 body surface area [BSA] n = 8; 150 mg/m2 BSA n = 6; 175 mg/m2 BSA n = 1) or with a combination of cisplatin (175 mg/m2 BSA)/doxorubicin (65 mg; n = 14). Postoperative complications occurred in nine patients (31%). Cytoprotective therapy resulted in lower postoperative creatinine levels (p = 0.036), and there was no need for temporary dialysis in these patients. The 90-day mortality rate was 3.4%, as one patient developed multiple organ failure. While recurrence-free 5-year survival was 54%, an overall 5-year survival rate of 80.1% was observed. Survival depended on histological subtype (p = 0.01).

Conclusion Surgical cytoreduction with HITOC is feasible in selected patients and offers encouraging survival rates. The application of cytoprotective agents appears to be effective for the prevention of postoperative renal insufficiency.
A 17-Year-Old Male with Large Retropharyngeal Neurofibroma as the Only Symptom of Neurofibromatosis Type 1 (NF1): A Case Report and Review of Literature
Authors: Voss-Hoynes Heather A. , Mahfooz Naeem , Ostwani Waseem
Published: November 2019

Retropharyngeal neurofibromas are rarely described in the literature and are commonly associated with severe airway-related symptoms. We report a unique case of a large retropharyngeal plexiform neurofibroma in an asymptomatic 17-year-old male patient. This patient was asymptomatic and presented for lower lip edema secondary to an insect bite. Head and neck imaging demonstrated an extensive retropharyngeal neurofibroma measuring 5.7 cm × 2.2 cm × 6.8 cm. Because of extensive involvement of cervical vasculature, the lesion was not resected in our institution and his care was referred to a large neurofibromatosis type I center.
LEOPARD Syndrome with PTPN11 Gene Mutation in Three Family Members Presenting with Different Phenotypes
Authors: Alfurayh Nuha , Alsaif Fahad , Alballa Nouf , Zeitouni Leena , Ramzan Khushnooda , Imtiaz Faiqa , Alakeel Abdullah
Published: November 2019

LEOPARD syndrome (LS) is a rare autosomal dominant disorder that is characterized by multiple lentigines and various congenital anomalies. The clinical diagnosis of LS requires molecular confirmation. The most frequently reported mutations in LS patients are in the protein tyrosine phosphatase nonreceptor type 11 gene, PTPN11. Herein, we report the cases of three family members from two generations who are affected by LS and all carry the PTPN11 mutation c.836A > G (p.Tyr279Cys), identified by next-generation sequencing, while exhibiting different phenotypes.
The promise and perils of alternative market-based finance: the case of P2P lending in the UK
Authors: Bavoso Vincenzo
Published: November 2019

The collapse of the global financial industry in 2008 and the subsequent decay of most Western economies into a period of prolonged economic stagnation have represented a springboard for the progressive growth of alternative channels of financial intermediation. The reluctance and inability of mainstream banks in the post-crisis years to provide credit facilities to the real economy, most critically to start-ups and small and medium-sized enterprises, propelled the latest wave of financial innovation, this time under the guise of FinTech. Much has been written on the rise of FinTech in recent years, but there is still insufficient clarity about the benefits that this phenomenon is bringing to the real economy and the potential risks that can arise from its growth. This paper maps the development of FinTech lending platforms in the UK and reconceptualises the rationale for their growth. In doing that, this study focuses on the structure and operation of the main UK platforms, recognising that while some are effectively banks that adopt a technology-based business model, many platforms operate under the P2P business model. The question then is to assess the policy and regulatory approach that is relevant to UK P2P platforms. Interestingly, the emergence of P2P securitisation raises a number of regulatory and policy questions, because longer intermediation chains typical of securitisation may well defy the social and economic purposes under which the idea of P2P developed. Furthermore, questions of systemic risk inevitably resurface in these types of transactions. Ensuing problems related to the best way to regulate these new channels of financial intermediation lead to critically evaluate the initiatives launched by the UK FCA, initially under the Innovation Hub, and more recently under the consultation for a new regulatory framework.
Learning optimal decisions with confidence
Authors: Drugowitsch Jan , Mendonça André G. , Mainen Zachary F. , Pouget Alexandre
Published: November 2019

Significance

Popular models for the trade-off between speed and accuracy of everyday decisions usually assume fixed, low-dimensional sensory inputs. In contrast, in the brain, these inputs are distributed across larger populations of neurons, and their interpretation needs to be learned from feedback. We ask how such learning could occur and demonstrate that efficient learning is significantly modulated by decision confidence. This modulation predicts a particular dependency pattern between consecutive choices and provides insight into how a priori biases for particular choices modulate the mechanisms leading to efficient decisions in these models.
Label-free visualization and characterization of extracellular vesicles in breast cancer
Authors: You Sixian , Barkalifa Ronit , Chaney Eric J. , Tu Haohua , Park Jaena , Sorrells Janet Elise , Sun Yi , Liu Yuan-Zhi , Yang Lin , Chen Danny Z. , Marjanovic Marina , Sinha Saurabh , Boppart Stephen A.
Published: November 2019

Despite extensive interest, extracellular vesicle (EV) research remains technically challenging. One of the unexplored gaps in EV research has been the inability to characterize the spatially and functionally heterogeneous populations of EVs based on their metabolic profile. In this paper, we utilize the intrinsic optical metabolic and structural contrast of EVs and demonstrate in vivo/in situ characterization of EVs in a variety of unprocessed (pre)clinical samples. With a pixel-level segmentation mask provided by the deep neural network, individual EVs can be analyzed in terms of their optical signature in the context of their spatial distribution. Quantitative analysis of living tumor-bearing animals and fresh excised human breast tissue revealed abundance of NAD(P)H-rich EVs within the tumor, near the tumor boundary, and around vessel structures. Furthermore, the percentage of NAD(P)H-rich EVs is highly correlated with human breast cancer diagnosis, which emphasizes the important role of metabolic imaging for EV characterization as well as its potential for clinical applications. In addition to the characterization of EV properties, we also demonstrate label-free monitoring of EV dynamics (uptake, release, and movement) in live cells and animals. The in situ metabolic profiling capacity of the proposed method together with the finding of increasing NAD(P)H-rich EV subpopulations in breast cancer have the potential for empowering applications in basic science and enhancing our understanding of the active metabolic roles that EVs play in cancer progression.
Thermal reaction and luminescence of long-lived N
2
D in N
2
ice
Authors: Lo Jen-Iu , Chou Sheng-Lung , Peng Yu-Chain , Lu Hsiao-Chi , Cheng Bing-Ming
Published: November 2019

Significance

N
2
is present as ice in cold outer space. In this work, photochemical experiments with concurrent detection of infrared absorption and visible emission spectra provide evidence for the generation of energetic products N
2
D atom and
l
-N
3
radical after photolysis of icy N
2
with vacuum-ultraviolet radiation. We found that the photolysis of icy N
2
may also produce the long-lived N
2
D
long
atom which can be triggered to release emission or to induce the synthesis of
l
-N
3
upon raising of the temperature. This work enhances our understanding of the transformation of nitrogen species in cold astroenvironments; the results also open a window into photochemical processes in solid state.
The retrograde signaling protein GUN1 regulates tetrapyrrole biosynthesis
Authors: Shimizu Takayuki , Kacprzak Sylwia M. , Mochizuki Nobuyoshi , Nagatani Akira , Watanabe Satoru , Shimada Tomohiro , Tanaka Kan , Hayashi Yuuki , Arai Munehito , Leister Dario , Okamoto Haruko , Terry Matthew J. , Masuda Tatsuru
Published: November 2019

The biogenesis of the photosynthetic apparatus in developing seedlings requires the assembly of proteins encoded on both nuclear and chloroplast genomes. To coordinate this process there needs to be communication between these organelles, but the retrograde signals by which the chloroplast communicates with the nucleus at this time are still essentially unknown. The
Arabidopsis thaliana genomes uncoupled
(
gun
) mutants, that show elevated nuclear gene expression after chloroplast damage, have formed the basis of our understanding of retrograde signaling. Of the 6 reported
gun
mutations, 5 are in tetrapyrrole biosynthesis proteins and this has led to the development of a model for chloroplast-to-nucleus retrograde signaling in which ferrochelatase 1 (FC1)-dependent heme synthesis generates a positive signal promoting expression of photosynthesis-related genes. However, the molecular consequences of the strongest of the
gun
mutants,
gun1
, are poorly understood, preventing the development of a unifying hypothesis for chloroplast-to-nucleus signaling. Here, we show that GUN1 directly binds to heme and other porphyrins, reduces flux through the tetrapyrrole biosynthesis pathway to limit heme and protochlorophyllide synthesis, and can increase the chelatase activity of FC1. These results raise the possibility that the signaling role of GUN1 may be manifested through changes in tetrapyrrole metabolism, supporting a role for tetrapyrroles as mediators of a single biogenic chloroplast-to-nucleus retrograde signaling pathway.
HERES, a lncRNA that regulates canonical and noncanonical Wnt signaling pathways via interaction with EZH2
Authors: You Bo-Hyun , Yoon Jung-Ho , Kang Hoin , Lee Eun Kyung , Lee Sang Kil , Nam Jin-Wu
Published: November 2019

Wnt signaling through both canonical and noncanonical pathways plays a core role in development. Dysregulation of these pathways often causes cancer development and progression. Although the pathways independently contribute to the core processes, a regulatory molecule that commonly activates both of them has not yet been reported. Here, we describe a long noncoding RNA (lncRNA), HERES, that epigenetically regulates both canonical and noncanonical Wnt signaling pathways in esophageal squamous cell carcinoma (ESCC). For this study, we performed RNA-seq analysis on Korean ESCC patients and validated these results on a larger ESCC cohort to identify lncRNAs commonly dysregulated in ESCCs. Six of the dysregulated lncRNAs were significantly associated with the clinical outcomes of ESCC patients and defined 4 ESCC subclasses with different prognoses. HERES reduction repressed cell proliferation, migration, invasion, and colony formation in ESCC cell lines and tumor growth in xenograft models. HERES appears to be a transacting factor that regulates
CACNA2D3
,
SFRP2
, and
CXXC4
simultaneously to activate Wnt signaling pathways through an interaction with EZH2 via its G-quadruple structure-like motif. Our results suggest that HERES holds substantial potential as a therapeutic target for ESCC and probably other cancers caused by defects in Wnt signaling pathways.
Design and analysis of high speed low area-power semi-custom standard library cells using 90nm MOCMOS technology
Authors: Veera Boopathy E , Usha M , Swathi R , Usha A , Subhashree N
Published: November 2019

In this project, we are designing a standard library cell with 90nm technology using GNU/Electric with MOCMOS technology. The library cell consists of 24 cells with each cell having the following views: Icon, Schematic and Layout. The standard library cell includes Basic Gates, Adder circuits, Flip-flops, Latches and Multiplexers. The parameters: Rise Time, Fall Time and Area for all these cells are calculated and listed in a table. Area of each cell in this library is compared with 180nm (CMOS Cells) and 300nm (MUDD Library) technologies. Simulation of each cell is done using LT-SPICE software. GDS file is generated for these cells and 3D view of the layouts is also shown.
Force Measurement in Patellofemoral Joint for Osteoarthritis Patients Using Labview
Authors: Devapriya S , Ashokkumar D , Raj Karthik
Published: November 2019

Osteoarthritis (OA), is a joint disease which is consider as incurable in nature. The OA causes results in joint damage. Knee osteoarthritis is one of the major disease which causes damages in the cartilage between femur and tibia. The patellofemoral region is mainly involved in knee osteoarthritis. The main aim of this study is to measure the forces during the walking movement in left and right part of patello femoral joint for OA patients and normal subjects. The objective is to design a circuit to measure forces and to test the difference between OA patients and normal subjects. The hardware circuit was designed using NI ELVIS ( National Instrument Educational Laboratory Virtual Instrumentation Suite), which is used to interface the sensors with the labVIEW software. The labVIEW software is used to acquire data from the sensors. The circuit was designed using two FSR sensors (Force Sensitive Resistor) which are fitted to the upper part of the patellofemoral joint on right and left knee separately. The forces which are obtained by the walking movement within the duration of three minutes. The measured output shows a decrement in force compare to normal and OA subjects and it also has been identified that right knee force is greater than left knee force.
Associative Receptive Sensor Network Routing Protocol for VANETs
Authors: Shushmita S , Ojha Adarsh , Amaran Sibi , Balachander T , Indhu G
Published: November 2019

The Vehicular Ad hoc Networks are a different type of ad hoc network, which contain communicating entities that are in motion with different velocity along with lacking in infrastructure. Hence, this work needs the establishment of more consistent end-to-end communicating pathways and efficiently transferring data. We have presented a new security-aware routing algorithm called Deep learning-based prediction. The presented scheme is more efficient and reliable against different kinds of attacks such as black hole and malicious node penetration attempts to the entire network. It basically depends upon route link error recover and shortest path by using Dijkstra’s algorithm. The aim of this scheme is to identify malicious data and black hole nodes. The simulation results of eDC-NC are compared with already existing techniques called COPE in terms of Energy consumption (EC), throughput and network lifetime (NLT). This helps to achieve better performance and filter unwanted data by applying deep learning filtering technique.
Integrative Approach of Voice and Gesture Recognition for Interactive Robot
Authors: Senthamilarasi N. , Rebecca T. , Saraniya S. , Swetha B.
Published: November 2019

The instructing technique is never again reasonable for the creation mode with human – robot cooperation. A web based showing technique with the combination of discourse and motion, this application is described by the educator to control the robot camera based video data or using MEMS hardware interface using Zigbee – voice heading can be seen using Android application. The training procedure is never again sensible for the creation mode. An electronic appearing with the blend of discourse, change of the endeavor is to teach the robot to compose by giving three evident sources of information like Voice direction, Camera based information or utilizing MEMS equipment interface utilizing Zigbee. Voice direction can be perceived utilizing android application.
Privacy Concerns in Social Networks
Authors: Devi Renuka , Swathi R , Narayanan Bharath
Published: November 2019

The current trend circulates around posting personal photos and other information on social network sites. Although this seems fun and is used by numerous youngsters, photos and information can be easily misused. In order to protect privacy and to have control over it, we introduce an algorithm. The algorithm first checks if the user has a valid original profile, then accesses information on the viewer and then displays the information which is related between the two. A higher level of privacy can be enforced by only displaying this common information between the two profiles.
Influence of weed management and planting methods for improving yield of dry seeded rice
Authors: Krishnaprabu S.
Published: November 2019

A field experiment was conducted to evaluate the effect of planting methods and weed management in direct dry-seeded rice during summer season of 2017 and 2018 at Experimental Farm, Annamalai University. The treatment comprised of five rice planting treatments, viz. conventional tillage normal spacing [row to row (R × R) -18 cm], conventional tillage square planting (R×R-20 cm, plant to plant (P × P)-20 cm), conventional tillage paired row (9-27-9 cm), reduced tillage paired row (9-27-9 cm), reduced tillage square planting (R × R -20 cm, P×P-20 cm) in main plot and sub-plot consisted of four weed management treatments, viz. weedy, two hand weeding, pendimethalin 1.0 kg/ha fb azimsulfuron 17.5 g/ha + bispyribac 25 g/ha (tank mixed) at 15 DAS fb one hand weeding (HW), oxadiargyl 50 g/ha fb metsulfuron-methyl 2 g/ha + chlorimuron-ethyl 2 g/ha (ready mix) at 20 DAS fb 1 HW. Significant reduction in weed density and biomass was recorded in two hand weeding fb pendimethalin 1.0 kg/ha fb azimsulfuron 17.5 g/ha + bispyribac 25 g/ha (tank mixed) at 15 DAS fb 1 HW which resulted in improved growth and yield attributes and yield of rice. Amongst rice planting methods, conventional tillage normal spacing (R × R −18 cm) and conventional tillage paired row (9-27-9 cm) were able to compete with weeds more as compared to other rice planting methods resulting in lower weed density and weed biomass, enhanced rice growth and yield attributing characters and yield.
Studies on tillage, water regimes and weed management methods on weeds and transplanted rice
Authors: Krishnaprabu S.
Published: November 2019

Field experiments were conducted during 2017 seasons study the effect of tillage, water regimes and weed management methods on weeds and transplanted rice. The design was split plot with combinations of tillage and water regimes as main plot treatments and weed management methods as subplot treatments. The weed biomass was significantly reduced and the rice performance was superior under intensive tillage (three ploughings followed by(fb)puddling), when compared to the conventional farmers practice of land preparation. Among the water regimes, continuous deep water ponding (> 7.5 cm water) either till panicle initiation or grain filling stage suppressed weed growth better than that under the recommended practice of maintaining about 5 cm water level with intermittent drainage. Weed control efficiency (WCE) was maximum under azimsulfuron 35 g/ha applied at 15 days after transplanting (DAT), followed by pre-plant application of oxyflourfenfbone hand weeding at 20 DAT.
Reliable, Highly Secure, Low Power Hardware based passcode generator using Memristor
Authors: devi G. Saranya , Singh Aishwarya , Singh Akanksha , Priyanka R. , Khan P. Simran , Ramya N.
Published: November 2019

Secret sharing schemes can be useful in creating and distributing authentication secrets over multiple servers for resisting dictionary attacks at the server side. Design of lightweight cryptography is evaluated in the model. The main advantage of this approach is that it does not need the computational expensive cryptographic techniques. Lightweight encoding algorithms such as LDPC is used to increase the entropy and remove erasures. In the proposed system, Design of CPLD based RTL memristor is developed in which N number of Memristor values are stacked inside the Memory of CPLD, which acts as a Digital Memristor. Random numbers generated through memristor are used as a key for Lightweight cryptography in this model.
Double Encryption, Decryption Process Using Graph Labeling Through Enhanced Vigenere Cipher
Authors: Jaya Shruthy V. N , Maheswari V.
Published: November 2019

In this paper, we promote Double encryption process of our secret text initially through Difference Labeling of Signed Graphs and then through the Vigenere Cipher technique. Thus we propose Double encryption and their corresponding decryption process thereby making prediction of secret text complicated.
A Review of Anode Material for Lithium Ion Batteries
Authors: Pradeep N , Sivasenthil E. , Janarthanan B. , Sharmila S.
Published: November 2019

In this study an attempt has been made to review the use of anode material for Li ion batteries, with a special focus on Cobalt Ferrite. The review includes a discussion of historical background, review of Cobalt Ferrite and some yesteryear anode materials.
Power Monitoring and Theft Detection System using IoT
Authors: Meenal R , Kuruvilla Kevin M , Denny Adrin , Jose Rejin V , Roy Renoy
Published: November 2019

Electricity thefts are increasing every year across domestic as well as industrial domains which affect the economic status of the country. Various wireless communication systems are available to detect the power theft, but lacks the required infrastructure needed to employ them. The project’s aim is to design a system to monitor the power consumed by load and to detect and eliminate the power theft in transmission lines and energy meters. This work is also focused on communicating the theft information to Electricity Board (EB) through IoT. As a network of devices is connected like sensors it has the ability to exchange real time information through internet. In this project Raspberry Pi is utilized to detect power theft and send command to GSM module which sends the theft information message to EB. The implementation of this system will help save large amount of electricity.
Literature Study and Simulation of Screw-type Elevators
Authors: Matthew Palmer G , Kumar B Ajay , Angel Michael Prawin
Published: November 2019

Innovating and discovering new ideas and implementing new methodology has led engineering to develop new products for convenient and comfortable living. These innovative ideas and methods led to development in mechanical system by replacing the existing mechanism with newly found ideas. Among those developments, a new elevation mechanism created a platform for screw type elevators. This paper gives the working of the screw type elevators along with structural design of the mechanism and superstructure, the designs were simulated using SolidWorks. The simulated structural modules and the operation of screw type elevators along with its advantages over the existing pulley mechanism are detailed in this paper. Thus the objective of the paper is in two folds, (i) Proves that the screw type elevator is best suited for domestic purpose, (ii) Proposed new drive mechanism performs comparatively better than the existing screw type belt coupled elevators.
An analysis of dropout students in education system of Kerala
Authors: Manoj Vishnu , Sarika S G , Raji P , Thomson Lincy
Published: November 2019

at a time when Kerala achieved hundred percentage primary education status, the state Education Department has reported a sharp increase in the dropout rates of Dalit students in the state. Educational experts criticize that the lack of coordination and poor realization of schemes by the government were the reasons for the rising number of dropouts from schools. The highest dropout rate was recorded in the border districts of Wayanad, Idukki and Kollam. The overall aim of this paper is to provide the scenario of drop outs students of scheduled cast (boys and girls). Also, we interpret the analysis of variance among the drop out students in different classes.
Case Study – How to Bridge the gap between present Education System and employability in Kerala State
Authors: Nair Akil M , Prasad Sidharth S , Sreelatha K S
Published: November 2019

The talent and competency of students in Kerala are widely accepted all over the country. The IQ and EQ level are more than that of national average. Students who passed out from professional institutes are with distinction but majority are unemployed. Hypothesis test is carried out within group and between groups to identify whether the internship is necessary in industries for an Engineering graduate to get a placement in an organisation. The study analyses to bridge the gap between education system and employability in Kerala.
IoT Based Sign Language Interpretation System
Authors: Jeyasheeli P Golda , Miss Annapoorani K
Published: November 2019

In India about 31% of peoples are deaf or mute. One third of them are both deaf and mute. Gesture is a simple and important mode of interpersonal communication, which can simulate language and behaviour to express particular feelings and words. In this paper we have proposed a method that gives a method for improving Sign Language Interpretation system. In this method, we will use flex sensors along with pressure sensor which are incorporated on a glove to detect the gestures and convert it to text with in an Android Smart Phone. The text-to-speech module is also added in android application to improve the way of communication for deaf and mute peoples.
Skolem Mean like Labeling for Three Star Graph
Authors: Shainy V. Shendra , Balaji V.
Published: November 2019

In this paper, the connected three star graph

G
=

K

1
,

ϕ
1

∧

K

1
,

ϕ
2

∧

K

1
,

ϕ
3

is a skolem mean like graph if and only if

|

ϕ
2

−

ϕ
3

|
≤

ϕ
1

+
4

and

ϕ
1

+

ϕ
2

+
4
≤

ϕ
3

≤

ϕ
1

+

ϕ
2

−
2

, where

ϕ
1

=
1
,
2
,
3…
,

ϕ
2

=
1
,
2
,
3
,
…

. with the condition

ϕ
1

≤

ϕ
2

<

ϕ
3

is proved. 2010 Mathematical Subject Classification Number: 05C78
Mean Cordial Labeling For Three Star Graph
Authors: Shainy V. Shendra , Vinothkumar L. , Balaji V.
Published: November 2019

If

β
1

<

β
2

<

β
3

, the three star graph

K

1
,

β
1

∧

K

1
,

β
2

∧

K

1
,

β
3

is a mean cordial graph

|

β
2

−

β
3

|
≤
3

β
1

+
7

for

3

β
1

+

β
2

−
7
≤

β
3

≤
3

β
1

+

β
2

+
7

; if and only if

β
1

=
1
,
2
,
…
a
n
d

β
2

=
2
,
3
,
…

is proved in this paper. 2010 AMS SUBJECT CLASSIFICATION—05C78.
Accuracy Prediction Using Analysis Methods and F-Measures
Authors: El Fiorenza Caroline J , Parmar Prateek , Tiwari Shivam , Dixit Ayush , Gupta Arjun
Published: November 2019

Accuracy prediction is basically used in machine learining for evaluating the accuracy of data to get better results during analysis of data for various purposes like financial analysis, credit card fraud detection and sales prediction. Predicting the accuracy of data is necessary for making better decisions in field of business, engineering, medical science and analytics. We introduce a methodology for analysis that improves the accuracy of data while ensuring that the performance of the algorithm also improves so that it improves decision making so that it can be used in real world applications. The analysis involves three phases, first is product analysis phase which involves product analysis and SWOT analysis. Then comes analysis phase where we use various techniques like Straight line method of depreciation, moving average technique, simple linear regression and multiple linear regression. These methods are used for analyzing the trend in data and for comparison. Then comes the next phase where we calculate accuracy and find optimal value. For that we first add more data, then we select essential features for getting accurate results. For that we use multiple algorithms. Multiple algorithms basically consists of algorithms that are used for clustering, classification and comparison. These algorithms are used for creating a better machine learning model by using ensemble method. Ensemble method is basically a method of combining various weak algorithms to create a more accurate algorithm that gives better performance. For checking and performance and getting an accurate value we use Algorithm tuning. Algorithm tuning is used for getting an improved algorithm that gives less error percentage is assists in making predictions. This gives an accurate and optimized model for training the data.
Installation of IR Camera in Smart Watches for Facial Expression Recognition
Authors: Sathish K. , Mojamill Shaikh , Priya G. Sai , Krishna Raguram B. S. , Sahoo Sapna
Published: November 2019

IR camera, with its various advantages, can be found in many different fields. The most important application of an IR camera is that it can be used even in the dark, unlike an ordinary camera. Using this plus point, we can integrate this with other technologies to help us locate obstacles in the dark. This is due to the fact that IR cameras can detect heat instead of just capturing and since everything on this planet gives off heat, these IR cameras can detect these obstacles. Many methods have been implemented to deal with such problems but there are not easily available and are quite expensive. IR camera have been used in as surveillance cameras and also in movies to make the inanimate idealistic. However, they have not been integrated with smart watches which are easily available nowadays and are much cheaper than any other alternatives. The idea is to integrate this IR camera with a smart watch that would make it portable and easy to use anywhere. Not only is this technology aimed to help the general public but also the blind. Detection of any facial expression would alert the watch wearer that someone is in vicinity. Since IR camera can sense heat, they would be better recognizers of different expressions. This would not only allow them to navigate on their own, but also inform about the whereabouts of the user to their close friends and family in case of emergency.
Refinements of Nash equilibrium in a Pentagonal Fuzzy Bimatrix Game
Authors: Karthi C. , Selvakumari K.
Published: November 2019

In this paper, we introduce the concept of symmetric pentagonal fuzzy bimatrix and constant pentagonal fuzzy matrix for which we define the existence of Nash equilibrium in both pure and mixed strategies along with some numerical illustrations. By applying Ranking to the pay-offs, we convert the fuzzy valued game problem to crisp valued game problem. Therefore, Solution concept of perfect equilibrium for normal form game is reviewed and a new concept of proper equilibrium of pentagonal fuzzy bimatrix game is discussed.
Coronary Heart Disease (Cad) Monitoring System Based On Wireless Sensors
Authors: Esther Grace M , Sobitha Ahila S. , Kumar P.Hari
Published: November 2019

An intelligent cardiac auscultation is the process of monitoring the heart beat signals variations of a patient monitoring system for monitoring the patients’ health condition automatically through sensors based connected networks in Internet of Things (IoT). The critical condition of a patient is detected by processing sensors data and instantly provides push notification to doctors. In our proposed system, coronary heart disease monitoring based on wireless sensors are used to monitor without any human intervention for cardiac patients using piezoelectric sensors which is used to measure artery thickness by the flow of blood vessels and extract the waveform. The waveforms can be classified as normal and abnormal. These abnormal waveform is sent to mobile app where the data is received and plots the signal curves. The mobile app acts as the display device and uploads the data into the cloud platform for further analysis and an intimation is sent to the cardiologist. The authorized Cardiologist can access the datasets and results from the cloud.
Reconfigurable Adaptive Mems Storage for Real Time Data Tuning
Authors: Kumar D.Manoj , cheedella Jaya Krishna , Nikhil J. Sai , Tharun M. Sai , Narayan TS.Midhun , Bhaskar G.
Published: November 2019

RECONFIGURABLE devices, a representative of which is field programmable gate array (FPGA), are picking up their notoriety as a method for the integrated system implementation since the nonrecurring designing expense of use Application specific integrated circuits (ASICs) is raising as the fabrication technology becomes finer and finer. In the existing system, The architecture utilizes the FEoL layers for a fine-grained look into coarse-grained number arithmetic/memory units for up execution and similarity with shifted applications. A contextual analysis of use mapping demonstrates the proposed design can decrease the array region by 21.7%. In the proposed system, a MEMS based resistivity variable Memory architecture is developed in which the tunable Index utilizes the speed of accessing the memory units very fast and can be varied by tuning the digital inputs of the FPGA. The application to be developed here is the development of Hardware based memristor circuit and Memory design in FPGA. By using this we can decrease Area and power consumption.
Design and Implementation of Solar Powered Automatic Pesticide Sprayer for Agriculture
Authors: Anuradha T , Ramya K , Selvam R.
Published: November 2019

An automatic pesticide mixing and water level control of irrigation system powered by solar, using PLC and nrf24l01 module is focussed. The proposed system consist of pesticide mixer which automatically mixes the pesticide and water in particular ratio and the mixer is automatically sprayed to the field on the programmed date with the help of PLC. This system will also be useful in monitoring the soil moisture condition and level of the water in the field via moisture sensors and ultrasonic sensor which is connected in the transmitter side of the RF module. The system proposes a soil moisture sensor and ultrasonic sensor at each place in the field where the moisture content of the soil and water level in the field has to be monitored which is powered by solar. When moisture content in the soil is low or water level in the field is below certain level, the transmitter RF sends a signal to the receiver RF and accordingly the motor is turned ON/OFF with the help of PLC.
DIFFERENCE MODULO LABELING
Authors: Rekha S. , Maheswari V.
Published: November 2019

In this paper, We prove that cycle Cn
is a difference modulo labeled graph. We investigate the graph

P
n
2

and

C
3

(
t
)

is a difference modulo labeling. Here, the formulated edge labeling is considered as plaintext and with the help of affine cipher, we investigate a method of encryption and decryption of a message for the system of secured communication.
Patient Specific Coronary Stent Designing and its Computational Analysis using Ansys
Authors: Thrinayan M , Mishra Shubhanvit , Mahesh Ch Murali Naga , Muthu P
Published: November 2019

The optimal patient-specific stent technique for minimizing/eliminating coronary artery blockage is an ambitious field of medical science and technology. Patient specific stents are the type of stents which are designed according to the dimensions of one particular individual, hence they vary from person to person. With the amelioration of computational simulations, it is quite useful as we can produce or manufacture a stent that is of a specific size, strength and more tenacious to suit the patient’s specific requirement, not only that but it is also a cost-effective method. It is very compatible and is a time tested structure with hemodynamic results in order to suit patients’s requirements based on their anatomical structure. In this study the coronary artery of a patient was constructed using Mimics and 3-Matic software (Materialise,NV), with reference to patient’s MRI angiography, subsequently with the help of the coronary artery measurements we formulated patient-specific coronary artery stents using Autocad-2016 and we used Finite Element anlysis to find the structural strength of the designed patient-specific coronary artery stent. With the help of ANSYS we constructed a few sample stents using different biocompatible materials and we used Finite Element Analysis method to find the most compatible/adaptable biomaterial, simultaneously we carried out the process of assessing the mechanical properties which are associated with restenosis. We created a simulation using Computational Fluid Dynamics (CFD) and we tested the accuracy of the stent in an artery with blood flow. The pre-operative computational simulations results are helpful in diminishing the chances of stent failure without performing actual Angioplasty which is both cost-effective as well as beneficial to reduce post-operative trauma faced by cardiac surgery patients.