Miracle-dz/UniFAR-FTUs huggingface dataset:
INFLUENTIAL ROLE OF EMOTIONAL LABOR ON HIGH PERFORMANCE WORK SYSTEM TOWARDS BANKING INDUSTRIES IN NEYVELI

IJCRTD020004 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt. org 19 INFLUENTIAL ROLE OF EMOTIONAL LABOR ON HIGH PERFORMANCE WORK SYSTEM TOWARDS BANKING INDUSTRIES IN NEYVELI Dr. P. Balathandayutham, Assistant Professor Department of Business Administration, Annamalai University Dr. Anandanatarajan, Assistant Professor Department of Business Administration, Annamalai University Abstract The main objective of this study was to identify the influential role of emotional labour on high performance work system. Simple random sampling was adopted and population consisted of private bank staff in Neyveli. A total of 100 participants were used for the study. The data collected were analysed using multiple regression. The result concluded that the overall emotional labour significantly influenced the high performance work system.
Affine processes and Markov chains: Interest Rate-Dependent Transition Rates in Life Insurance

We obtain results for calculations of life insurance reserves where one can model policyholder behavior governed by stochastic intensities within hierarchical Markov chain models. We model the interest rate and the transition rates as affine processes, where we allow for dependence between the interest rate and the transition rates. For many years affine processes have been popular choices when modelling interest rates and mortality rates due to mathematical and computational tractability. Our main example of dependence is interest rate-dependent surrender rates, which are widely acknowledged in the literature, but the presented framework also allows for many other types of dependencies. The paper extends some results of transforms of affine presented Duffie et al. (2000). We find two representations of transforms of affine processes needed for calculation of life insurance reserves and discuss their differences.
Influence of Plant growth promoting Rhizobacteria on growth and Biochemical Parameters of Corn (Zea mays l.) Var. Seedlings

Impact of inoculations of eight individual strains (CN2, CSH4, Cu35, CMS7, CSH23, CSH27, CF18, and Cu47, two combinations (Comb 4A and Comb 4B) of four Bacillus strains and mixture of all strains (Mix) was studied. Various growth and biochemical parameters of maize plant were determined in pot trials. Strain Bacillus subtilis CN2 showed 49% maximum increase in shoot length. The blend of entire strains was observed to have their lenghth increased about 21 %. Bacillus subtilis CN2 showed maximum increase 155%, in fresh biomass and 233 % increase in dry weight. Bacillus amyloliquefaciens (Cu47) and Comb 4A and showed maximum peroxidase content of 163 % and 94 % as compared to uninoculated control. Comb 4B was shown to have significant higher content of acidphosphatase (811 %). Increase in all other physical and biochemical parameters were noticed. Therefore, Bacillus strains exhibited characteristic increased potential of plant growth and can have great application in innovative agricultural practices.
What is Missing in Existing Multi-hop Datasets? Toward Deeper Multi-hop Reasoning Task

Multi-hop machine reading comprehension 001 (MRC) is a task that requires models to read 002 and perform multi-hop reasoning over multi-003 ple paragraphs to answer a question. The task 004 can be used to evaluate reasoning skills, as 005 well as to check the explainability of the mod-006 els, and is useful in applications (e.g., QA 007 system). However, the current deﬁnition of 008 hop (alias step ) in the multi-hop MRC is am-009 biguous; moreover, previous studies demon-010 strated that many multi-hop examples contain 011 reasoning shortcuts where the questions can be 012 solved without performing multi-hop reason-013 ing. In this opinion paper, we redeﬁne multi-014 hop MRC to solve the ambiguity of its cur-015 rent deﬁnition by providing three different def-016 initions of the steps. Inspired by the assess-017 ment of student learning in education, we intro-018 duce a new term of In-depth multi-hop reason-019 ing task with three additional evaluations: step 020 evaluation, coreference evaluation, and entity 021 linking evaluation. In addition, we also ex-022 amine the existing multi-hop datasets based 023 on our proposed deﬁnitions. We observe that 024 there is potential to extend the existing multi-025 hop datasets by including more intermediate 026 evaluations to the task. To prevent reasoning 027 shortcuts, multi-hop MRC datasets should fo-028 cus more on providing a clear deﬁnition for the 029 steps in the reasoning process and preparing 030 gold data to evaluate them. 031
Classifying by Phenomena, Theories and Methods

This paper shows how a variety of theories employed across a range of social sciences could be classifi ed in terms of theory type. In each case, notation within the Integrated Level Classifi cation is provided. The paper thus illustrates how one key element of the León Manifesto — that scholarly documents should be classifi ed in terms of the theory(ies) applied can be achieved in practice. The León Manifesto (http://www.iskoi.org/ilc/leon.htm) argues that interdisciplinary research would benefi t from a universal system of document classifi cation that classed each work in terms of the phenomena studied, the theory(ies) and theory types applied, and the method(s) applied. Classifi cation by phenomena, instead of disciplines, is being experimented with in the Integrative Level Classifi cation (ILC) project (http://www.iskoi.org/ilc/) (Hong 2005). In ILC, main classes of phenomena are represented by letter codes, such as: s communities u5 [capital facet] sf families u5b labour sm tribes u5q equipment t organizations u5s structures tn states v cultures, technological systems tr federations vd pastoralism tu supra-national unions vm farming u economies vt industry Theories and methods can be expressed in the form of facets, introduced by the digit indicators 04 and 03 respectively. Thus, the subject “states studied by theory x and method y” will be notated tn04x03y. The theory facet has been the least developed element in this approach. Only a dozen grand theories have been classifi ed (Szostak 2004). The purpose of this paper is to show that it is possible to classify documents employing narrowly focused theories. It will place theories from a variety of social science fi elds — some disciplinary and some interdisciplinary — into a typology, and develop ILC notation for classifying works using these theories. 1. Theories and theory types Theories present a challenge to document classifi cation because theory names are ambiguous: the same theory name can refer to quite different sorts of theoretical argument, while quite similar arguments may go under quite different names (especially in different disciplines). The researcher wondering if a particular theoretical argument has been applied to a particular set of phenomena will receive limited guidance if the literature is classifi ed only with respect to theory names. The recommended solution is that works also be classifi ed in terms of a typology of theory types (Szostak 2007, 2008). Szostak (2004) developed a simple fi ve-dimensional typology of theory types through recourse to one of the simplest classifi catory devices: asking the 5W questions, who, what, where, when, and why. These in the context of theory yield more precise questions proceedings_isko_vol-11.indd Paper31:203 2008-05-04 08:06:52
Impact of Traffic Flow on Pollution at Urban Intersections

Intersections are mainly considered as critical elements of road networks in terms of air quality impact, and their control type and geometric configuration can affect significantly vehicular emissions. This study aims mainly to investigate the effect of traffic flow on the level of pollution at a selected intersection in Kerbela city. Hence, the video camera has been installed for three normal days to investigate the traffic flow fluctuation for 24h. Then, Gasmet has been used for investigating the amount of emission for both CO2 and CO within the peak hour. A well-known SIDRA 8.0 has been used for analyzing the intersection. The results indicated that the CO2 is exceeded the acceptable limit with worse traffic operations for both selected intersections.
Modified Bridgeless Landsman Converter Fed EV Battery Charger with Improved Power Factor

This research work focuses on the design and construction of a novel Battery-powered Electric Vehicle (BpEV) and to enhance the power-factor of the input AC. This is accomplished by substituting the prevalent diode converter with a newer, high-quality Landsman converter that is equipped with power-factor tuning. The Flyback-isolated and PFC converters work together to let the EV battery to switch between constant current and constant voltage modes. The recommended PFC converter is regulated using a single entity to attain consistent DC-link voltage and to boost the power-factor close to unity, with simulation carried out using MATLAB. As per the findings, a minimum of 60V DC output is required for charging the battery and suppressing input harmonics. In comparison to the usual architecture, the suggested scheme could provide increased power quality, very little device stress, less ripple at both input and output, and significantly lower harmonics. To validate the simulation results, a prototype is developed and deployed to charge a 48V EV battery with a rating of 100Ah in order to make it compliant with the IEC 61000-3-2 standard, particularly in the case of high voltage spikes at the input. The charger’s performance has been deemed to be good in all conditions based on matlab simulation results.
CLSTMNet: A Deep Learning Model for Intrusion Detection

Intrusion detection as well distributed denial of service (DDoS) are vital in ensuring computer network security. Some researchers claim that current approaches cannot meet the requirements of today’s networks are either not workable or sustainable. In a more specific sense, these concerns are related to an increasing number of human interactions, along with reducing levels of detection ability. With our study, a novel deep learning model for intrusion detection is developed for addressing these issues. We proposed a novel deep learning classification algorithm constructed using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) named CLSTMNet. Our proposed model has been implemented and evaluated using the benchmark NSL-KDD datasets. Compared with many conventional machine learning algorithms, the satisfied outcomes have been obtained from our model.
Computer Vision and Image Processing the Challenges and Opportunities for new technologies approach: A paper review

Digital image processing has numerous applications in many sectors of the world. It expands from initial information registration into methods and thoughts combining pattern recognition, computer vision, and machine learning. The wide utilization has pulled in many researchers to integrate with a range of related specializations. This work gives a study of the latest development and theoretical ideas clarifying an improvement of computer vision particularly with pattern recognition and image processing, utilizing various regions of their field implementation. Digital image processing causes researchers to analyze images to get important data and comprehend information. It utilized a technique of multi-range implementation and huge information analysis. This work aims to focus on the latest studies related to image processing, pattern recognition, and computer vision. In this paper, Computer vision standard has been categorized into groups. For example, pattern recognition, image processing, and AI. Additionally, we give a short clarification of the forward-thinking data about the methods and their realization. This survey is restricted to computer vision, and more research can include detecting the conduct and properties of the object including people actions.
Structure and Interdigitation of Chain-Asymmetric Phosphatidylcholines and Milk Sphingomyelin in the Fluid Phase

We addressed the frequent occurrence of mixed-chain lipids in biological membranes and their impact on membrane structure by studying several chain-asymmetric phosphatidylcholines and the highly asymmetric milk sphingomyelin. Specifically, we report trans-membrane structures of the corresponding fluid lamellar phases using small-angle X-ray and neutron scattering, which were jointly analyzed in terms of a membrane composition-specific model, including a headgroup hydration shell. Focusing on terminal methyl groups at the bilayer center, we found a linear relation between hydrocarbon chain length mismatch and the methyl-overlap for phosphatidylcholines, and a non-negligible impact of the glycerol backbone-tilting, letting the sn1-chain penetrate deeper into the opposing leaflet by half a CH2 group. That is, penetration-depth differences due to the ester-linked hydrocarbons at the glycerol backbone, previously reported for gel phase structures, also extend to the more relevant physiological fluid phase, but are significantly reduced. Moreover, milk sphingomyelin was found to follow the same linear relationship suggesting a similar tilt of the sphingosine backbone. Complementarily performed molecular dynamics simulations revealed that there is always a part of the lipid tails bending back, even if there is a high interdigitation with the opposing chains. The extent of this back-bending was similar to that in chain symmetric bilayers. For both cases of adaptation to chain length mismatch, chain-asymmetry has a large impact on hydrocarbon chain ordering, inducing disorder in the longer of the two hydrocarbons.
Cellular Total Lipid Peroxidation, and Glutathione S Transferase Levels in Larvae and Pupae of Aedes Aegypti with Catalysts Preparation of Mg-doped tio2 Nanoparticles.

Aim: synthesis, characterization, and application of modifying nanocomposite TiO2 doped with Magnesium for photodegradation of antioxidant system Larvae and Pupae of Aedes Aegypti Catalysts Preparation of Mg-doped TiO2 to determine activity of oxidative stress (MDA) and glutathione S Transferase, were known as a parameter of defense system resistance and immune maintained. This study was undertaken to assess the potential role of growth of stages of Aedes Aegypti correspondence with oxidant and antioxidant balance triggered by nanoparticle exposure. The amounts of these parameters in cellular samples were investigated using the following materials and procedures, intake 100 larvae and 100 pupae as subjects with (study subjects) and 3-9 days’ age-matched with healthy subjects as controls. at the second of the admission, as a marker of lipid peroxidation, and therefore an indicator of the activity of standard free radicals Nanoparticles Photo Catalysts, TiO2 doped with Mg, the standard prepared Nanopowder changes from the forbidden band TiO2 standard doping with atoms of Mg ،Mg) using the sol-gel method, for Mg-doped TiO2 nanoparticles, the estimated band gap energy is 2.92 eV. Tissue MDA was used to estimate thiobarbituric acid reactive substances (TBARS), and liquid glutathione reductase activity was assessed using Goldberg DM’s method. Results: When compared to controls, there was a dramatic rise in MDA content and glutathione s transferase efficiency in larvae and pupae populations exposed to photo catalyst modified nanoparticles. Conclusion: Increased MDA support to oxidative stress in larvae and pupae samples supports enhanced oxygen-free radical generation, as indicated by our findings. Increased antioxidant enzyme activity could be a compensatory mechanism in response to increased oxidative stress. The findings point to glutathione s transferase’s antioxidant activity in response to increasing oxidative stress in the treated group.
Surface modification of Zirconium based alloys for bio application by Micro-arc oxidation process: A Review

Because of their superior mechanical properties, metal implants are the ideal choice for long-term reconstruction of hard tissues like the hip and knee joints. Zr and its alloys are widely recognized as biocompatible metal implants because of the self-regulating oxide coating that prevents the surface from corrosion and restricts ion release. The Osseo incorporation of these critical elements requires surface modification. The surface of metal implants is modified via micro-arc oxidation (MAO). The goal of this study is to give a summary of contemporary Micro-arc oxidation (MAO) research on zirconium and related alloys in biometal implants.
Chirurgická léčba těžké obezity – bariatrie

Chirurgická léčba obezity – bariatrie – začíná tam, kde konzervativní terapie těžké obezity opakovaně selhává. K bariatrické operaci jsou obecně indikováni dospělí pacienti od 18 do 60 let s obezitou 3. stupně (BMI > 40 kg/m2), případně 2. stupně (BMI > 35 kg/m2), u kterých jsou přítomna obezitou podmíněná závažná přidružená onemocnění (diabetes mellitus 2. typu, arteriální hypertenze, dyslipidemie nebo těžké postižení nosných kloubů. Téměř všechny bariatrické operace jsou dnes prováděny laparoskopickou metodou. Současná bariatrie používá metody restriktivní, malabsorpční nebo kombinované. Cílem těchto výkonů je výrazné zmenšení objemu přijímané stravy a zmenšení plochy resorpce živin ze střeva jeho vyřazením nebo kombinace obou principů těchto metod. Mezi čistě restriktivní operace lze zařadit adjustabilní žaludeční (gastrickou) bandáž, vertikální gastrickou plikaci. Další, v současnosti nejčastěji používanou metodou, je restriktivní metoda sleeve gastrectomy, tubulizace žaludku, která má částečný hormonální efekt. Biliopankreatická diverze je považována za čistě malabsorpční operaci. Další bariatrickou metodou jsou gastrické bypassy, které jsou většinou autorů považovány za restriktivně malabsorpční metodu. Klíčová slova: bariatrie, diabetes, obezita.
Improving Emergency Preparedness and Response in Rural Areas

The unique socio-economic structure of rural communities makes them particularly vulnerable to emergencies. However, rural emergency preparedness and response (EPR) significantly lag behind their urban counterparts. A key obstacle to timely dissemination of emergency information is limited broadband, which in turn limits agencies’ abilities to (i) disseminate preparedness and response information to residents and (ii) coordinate in the face of a disaster. We aim to improve rural EPR services by aggregating information from national, state and county-based sources and disseminating it in rural communities with limited broadband by leveraging first responders’ and residents’ mobility. To this end, we co-design and develop an emergency smartphone app (EApp) in collaboration with a rural community in New York State. We study EApp’s performance in the lab and through deployments, focusing on energy use, required socio-physical interactions and timeliness of information access. Our findings elucidate critical limitations of off-the-shelf Android platforms to support hands-free opportunistic networks. To address these limitations, we design protocols on top of Wi-Fi direct enabling near 100% success rate in peer-to-peer (P2P) information exchange. Our results inform an optimal end-to-end design and deployment of a rural P2P information dissemination platform.
DETERMINATION OF OXIDATION BYPRODUCTS OF CARBARYL IN HONEY BY LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY

Honey is a ‘natural product’ and EU regulates honey under the Council Directive 2001/110/EC. According to the European Union (EU); the food Codex Alimentarius and various other international honey standards honey stipulates a pure product that does not allow for the addition of any other substance. Honey bees fly two to three miles from their hive to find sources of food (nectar and pollen). They will usually forage during daylight. Pollen and nectar are collected from certain flowering plants, carried back to the hive, stored in wax cells, and used as a protein-rich food source for the colony members. Bees may be killed while foraging on blooming plants that have been treated by certain pesticides. The greatest hazard, however, is from insecticides, such as carbaryl (Sevin), Methyl parathion (Penncap-M) and others that may be unintentionally carried with pollen back to the hive. Some of these pesticides are not stable in the environment or metabolised to different forms and this is probably the main reason why they were detected rarely and at lower concentrations in beehive products. Therefore, identification and confirmation of metabolites of pesticides in honey matrix are also equally relevant. Mass spectrometry technique based on nominal mass is proposed for the screening and identification of metabolites while high resolution mass spectrometry can be effectively used for confirmation of identified metabolites. This study intended to design a workflow in order to Identify and confirm major metabolites/degradation products of pesticides used/ significant in apiculture namely carbaryl in honey matrix. By Nominal mass and accurate mass LC-MS/MS, 3 degradation products of carbaryl is identified and their structural relationship with carbaryl is established by comparing the fragmentation pattern.
Continuous-Flow Monolithic Silica Microreactors with Arenesulphonic Acid Groups: Structure–Catalytic Activity Relationships

The performance of monolithic silica microreactors activated with sulphonic acid groups and a packed bed reactor with Amberlyst 15 resin were compared in the esterification of acetic acid with n-butanol. The monolithic microreactors were made of single silica rods with complex pore architecture, differing in the size of mesopores, and in particular, flow-through macropores which significantly affected the flow characteristic of the continuous system. The highest ester productivity of 105.2 mol·molH+−1·h−1 was achieved in microreactor M1 with the largest porosity, characterized by a total pore volume of 4 cm3·g−1, mesopores with 20 nm diameter, and large flow-through macropores 30–50 μm in size. The strong impact of the permeability of the monoliths on a reaction kinetics was shown.
CS 244 ’18: Recreating and Extending Pensieve

For our CS 244 final project, we present the recreation of two results from the paper Neural Adaptive Streaming with Pensieve . First, we present a recreation of Figure 11, which compares Pensieve to other ABR algorithms across three different network types. Next, we present a recreation of Figure 13, which compares Pensieve algorithms trained on multiple simulated videos to Pensieve algorithms trained on a single test video. In order to gain additional insight into the robustness and flexibility of Pensieve ABR algorithms, we extended the experiments conducted by the original authors. Specifically, we tested each algorithm in Figure 11 on additional network types, and we trained and evaluated Pensieve algorithms using additional test videos beyond the lone video discussed in the original paper. An in depth discussion of our recreation and additional experiments
A Periodic Regulation of the Na/H Exchanger (NHE1) and PH values in Breast Cancer Metastasis

The pH gradient in normal cells is tightly in tumor progression with regard to ion flux, the controlled by the activity of various pH-regulatoryregulation of its activity on a molecular level is membrane proteins including the isoform proteinonly recently becoming evident. The membrane of the Na/H exchanger (NHE1). NHE1 isdomain of NHE1 is sufficient for ion exchange. constitutively active in a neoplasticHowever, its activity is regulated through the microenvironment, dysregulating pH homeostasisphosphorylation of key amino acids in the and altering the survival, differentiation, andcytosolic domain as well as by its interaction with proliferation of cancer cells, thereby causing themother intracellular proteins and lipids. Here, we to become tumorigenic. Cytoplasmic alkalinizationreview the importance of these regulatory sites and in breast cancer cells occurs as a result of what role they may play in the disrupted increased NHE1 activity and, while much isfunctionality of NHE1 in breast cancer metastasis. known about the pathophysiologic role of NHE1