Miracle-dz/UniFAR-FTUs huggingface dataset:
What do millennials really want ?

This new economic era is characterized by organizations managing a diverse workforce across different generations. These generations have different work values, goals, and expectations on their employer, which poses various challenges for human resource managers in managing and retaining employees from different generations. The most recent generation that is currently entering the workforce is generation Y, and they are described as the younger generation with high employee turnover and reluctance to pledge long-term work commitments. Therefore, it is in the interest of organizations to tailor reward schemes that resonate with generation Yers in fostering organizational commitment. Thus, this thesis aims to examine how extrinsic and intrinsic rewards affect organizational commitment in generation Y. To answer these questions, this thesis reviews previous literature and use the self-determination theory to see how the different rewards affect the organizational commitment of generation Y. This study has been conducted through interviews with employees that are born within the age spectrum of generation Y (1980-1999) to understand how reward systems affect organizational commitment in generation Y employees. This thesis found that intrinsic rewards affect organizational commitment in a far more positive manner than extrinsic rewards. Furthermore, intrinsic rewards resonate to a greater extent with the employees from generation Y and should, therefore, be a priority for organizations. Moreover, this thesis concludes that intrinsic rewards can more easily satisfy the basic psychological needs, which are, as according to the self-determination theory, crucial to foster organizational commitment.
DMSO_A_273396 4457..4468

1Department of Diabetes Care Medicine, Osaka University Graduate School of Medicine, Osaka, Japan; 2Shiraiwa Medical Clinic, Osaka, Japan; 3Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan; 4Department of Metabolism and Atherosclerosis, Osaka University Graduate School of Medicine, Osaka, Japan; 5Ikuyaku. Integrated Value Development Division, Mitsubishi Tanabe Pharma Corporation, Tokyo, Japan; 6Ikuyaku. Integrated Value Development Division, Mitsubishi Tanabe Pharma Corporation, Osaka, Japan Aim: Our aim was to investigate the effects of add-on canagliflozin with glimepiride dose adjustment or glimepiride dose adjustment on pancreatic beta cell function in patients with type 2 diabetes mellitus and inadequate glycemic control despite stable triple therapy (metformin, teneligliptin, and glimepiride) plus diet/exercise therapy. Methods: Forty patients on stable triple therapy were randomized to glimepiride dose adjustment without (glimepiride group) or with add-on canagliflozin 100 mg (canagliflozin group) for 24 weeks. The glimepiride dose was adjusted every 4 weeks based on continuous glucose monitoring over the previous 2 weeks according to a prespecified algorithm. After the 24-week treatment period, the patients returned to the pre-intervention regimen for 1 week (wash-out period). Patients underwent 75 g OGTTs at the start of the run-in period and at the end of the wash-out period. The primary endpoint was the change in disposition index (DI). Results: Thirty-nine patients completed the study (canagliflozin, n = 19; glimepiride, n = 20). The change in DI was +5.1% and −11.0% in the canagliflozin and glimepiride groups, respectively, with a between-group difference ratio of 18.0% (P = 0.330). HbA1c, fasting plasma glucose, body weight, and daily-life continuous glucose monitoring-derived parameters improved in the canagliflozin group. Hypoglycemia occurred in 60% (44 episodes) and 70% (79 episodes) of patients in the canagliflozin and glimepiride groups, respectively. The change in DI was significantly correlated with the changes in glycemic control and variability in overall cohort. Conclusion: Adding canagliflozin to the triple therapy improved beta cell function by 18%, but it did not reach statistical significance. This study also demonstrated a correlation between the change in DI and glycemic control. As canagliflozin improved both glucose level and variability with relatively lower risk of hypoglycemia compared with glimepiride dose adjustment, adding canagliflozin to the triple therapy may be clinically beneficial. Trial Registration: UMIN000030208/jRCTs051180036.
An Implementation of Battery Charging Methods for Electric Transportation Application

: A dual-inverter with an open-end winding motor arrangement is an attractive system to supply a higher voltage to a motor for electric motor vehicle (EV) applications. A topology utilizing two isolated dc sources. Although this design may need two battery chargers, in this study, the use of only one charger to a main battery was considered. The fundamental problem is to charge the secondary battery from the main battery by way of the motor, whether it is at a standstill or running. The results show that the proposed method is able to noticeably improve the power capability of the motor beyond its base speed. The unity-power-factor operation is shown to be useful to maximize the charging power. The proposed method is extensively simulated in simulated in MATLAB/SIMULINK.
Colonial palynomorphs from the Upper Ordovician of northeastern Iran:

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Sperm Morphology

Abnormal spermatozoa have been historically associated with male subfertility and sterility. As early as 1927, an insightful report by Williams and Savage in the Cornell Vet stated that "the dimensions of sperm heads from good fertility bulls are remarkably uniform". This is still true. Presence of abnormal spermatozoa in semen is one of our most sensitive indications that spermatogenesis of a male has been impaired. In addition, occurrence of certain types of abnormal sperm are more dangerous, and can indicate that normal-appearing sperm in the same sample may also be abnormal or incompetent in fertilization or sustaining embryogenesis once initiated. In this paper, we will summarize current concepts of how sperm morphology impacts fertilization rate, as well as early embryogenesis, by examining their transport in the female and engagement of the ovum. Also discussed is the relationship of sperm morphology as we measure it in the breeding soundness exam to what we recognize as the two main components comprising seminal deficiencies in artificial insemination: 1) those deficiencies which can be overcome by raising the sperm dosage to the female (compensable) 2) and those deficiencies where subfertility exists regardless of sperm dosage (uncompensable).
Value creation and the circular economy: A tale of three externalities

By using resources more efficiently, resource users help to overcome the inherent resource scarcity on “spaceship earth. ” One strategy in this context is to close resource loops and to use resources circularly. With fewer resources wasted, a more circular use of resources should also increase the efficiency of resource use and create more value. However, when resource users aim for a greater degree of efficiency, inadvertently they might contribute to resources being used less rather than more circularly and, consequently, less instead of more efficiently. We show how to assess the value that is created by the efficient use of resources for the case of linear and circular resource use. This allows us to identify three distinct types of positive externalities related to the circular use of resources: (1) systemic static externalities; (2) idiosyncratic dynamic externalities; and (3) systemic dynamic externalities. We describe how the value created by these externalities can be assessed and argue that they need to be considered when evaluating environmental resource use.
Effectiveness of CS Unplugged Program in Developing Programming Skills for Eighth Grade Female Students

This study aims at identifying the effectiveness of CS Unplugged program for developing programming skills among eighth-grade female students. The study tools consist of a test to measure the cognitive side of programming skills in Scratch language, in addition to a product evaluation card to measure the performance aspect of programming skills in Scratch language. The sample of the study consisted of (14) female students from the eighth primary grade in Khan Yunis Preparatory Co. School "C". The study applies quasi-experimental design. The results indicated there are statistically significant differences between the ranks of the students’ grades in the programming skills pre- test application, and the ranks of their scores in the post application. The CS Unplugged program has a great impact on developing the cognitive aspect of programming skills. There are statistically significant differences between the ranks of the students’ grades in the product evaluation card in the pre application, and the ranks of their scores in the post application as the average of the positive ranks is greater than the average of the negative ranks. The CS Unplugged program has a great impact on developing the performance side of programming skills. The study concluded with the most important recommendations, as there is need for the Ministry of Education to adopt the CS Unplugged program in the plan of teaching programming curriculum for the various stages; especially in light of the limited capabilities of the Gaza Strip.
Locally resonant periodic acoustic media

Phononic crystals are composite media, with two different elastic materials modulated in a periodic fashion. The two-dimensional system under study is comprised of an array of cylindrical tubes arranged in a square Bravais lattice. The propagation of a time-harmonic acoustic Bloch waves is investigated experimentally and the findings compared with those obtained from the finite element method. The band structure, that is a well-known characteristic of Bloch wave dispersion, is also determined. This demonstrates the existence of band gaps of forbidden transmission at certain frequency ranges. These arise due to the interference when the wavelength of the incident wave is comparable to the periodic spacing of the modulated media. A second phononic crystal with slotted steel tubes is also studied. The opening in the tube permitting air to flow to the internal cavity, and constituting a Helmholtz resonator. The band structure of such a structure possesses additional band gaps, which arise due to the excitation of the resonators. Furthermore, it has recently been shown that periodically distributed Helmholtz resonator structures, can exhibit negative refraction phenomena. Using the transmission line technique, as outlined by Y.Cheng et al. we demonstrate this behaviour for our experimental system. It is shown that, at certain frequency ranges, the locally resonant phononic crystal exhibits negative effective density and bulk modulus, the two conditions required to obtain a negative index of refraction.
Dynamic and Stationary State Estimation of Fluid Cooled Three-Phase Inverters

Fluid based heat sinks are often used in compact packaging areas in the automotive industry for limiting the temperature of insulated gate bipolar transistors (IGBTs). However, due to the closed cooling circuit and multiple heat sources, thermal conditions of the coolant are getting more important in order to maintain subsequent cooling tasks. This article firstly presents a steady state approach to estimate the coolant inlet temperature by a Kalman filter and the volume flow based on the information of the module-inclusive NTC (negative temperature coefficient) thermistors. Secondly, a nonlinear thermal model is derived and used in connection with an unscented Kalman filter for the dynamic estimation of the volume flow. The thermal model captures the temperatures of the IGBTs, NTCs, and fluid of the three phases of the module. The state estimators are validated and compared in stationary and highly dynamic FEM (finite element method) simulations as well as using measurements on a test bench.
Intranet indexing using semantic document clustering

This thesis presents a system that applies automatic indexing techniques to large, dynamic, networked information collections, and which has been applied to a corporate intranet. The structure of the intranet is sought and an attempt is made to explore the underlying semantics of the intranet’s constituent documents in order to provide an overview. An important objective is to facilitate easier navigation than is possible today. We propose a system that creates a hierarchical index and which allows for browsing at different granularity levels. The main focus is however on the indexing techniques, and most of the work is based on the theory of Information Retrieval. A prototype has been implemented and evaluated, and we conclude that the techniques applied are valuable and usable for the proposed domain. Intranet indexing using semantic document clustering _______________________________________________________________________________________________________ _______________________________________________________________________________________________________ Peter Ljungstrand 2 Henrik Johansson Intranet indexering med semantisk dokumentklustring
How Can the Modern Chinese Family Retirement Function Be Separated and Sustainable?

In the context of hybrid changes taking place in population and family structures, it is widely perceived that the function of the family as a place where older people retire has weakened. Family support has lost its vitality and has been replaced by public support. However, since the elderly are inseparably connected to their family, it is relevant to rethink and analyze how modern families’ pension functions can be sustainable. Based on structural functionalism and the family modernization theory, we construct an analytical framework to understand how the family ageing function operates separately. Fieldwork was carried out in Nantong, a place where the population has drastically aged. We documented different types of households to explain the changes and differences in modern family ageing. The results show that it is not simply a general weakening, but that a differentiated development pattern has separated the family functions and that there is a functional alternative path to compensate for sustainable development. That is, the economic function is strengthened and compensates for the weakened service function. Based on our research, we argue that families and the government should share the responsibility of meeting the diversified and specialized needs of older people in families where economic functions have strengthened and service functions have weakened. In families where both sets of functions have weakened, the government needs to overtake those functions. Today, family retirement function has been revitalized and redeveloped.
Evaluation of different power tracking operating strategies considering turbine loading and power dynamics

Abstract. This work focuses on the design, implementation, and implications of different operational strategies for wind turbines when providing a power tracking functionality. Power tracking is necessary for the contribution to stabilization of the electrical grid. Specifically, two different operational strategies are used as the foundation for a model-based control design that allows the turbine to follow a given power demand. The first relies on keeping a constant rotational speed while varying the generator torque to match the power demand. The second approach varies both the generator torque and the rotational speed of the turbine equally to yield the desired power output. In the power reduction mode, both operational strategies employ the pitch to maintain the desired rotational speed of the turbine. The attainable power dynamics of the two closed-loop systems with varying power demands are analyzed and compared. Reduced-order models formulated as transfer functions and suitable for integration into an upper-level control design are proposed. It is found that the first strategy involving only the generator torque while keeping a constant rotational speed provides significantly faster power control authority. Further, the resulting fatigue loading in turbulent wind conditions is discussed for the two operational strategies, where constant operational storage is emulated to enable a bidirectional variation in the power output. Without any additional load-reducing control loops, the results suggest that the first operational strategy involving variation in the generator torque only is more favorable with regard to the resulting loading of the turbine structure. The simulation studies are conducted for NREL's 5 MW reference turbine using FAST.
The Effect of Dislocation and Interface-Roughness Scattering on Electron Mobility in the MgZnO/ZnO Heterostructure

In this work, the electron mobility in the MgZnO/ZnO heterostructure at room temperature is theoretically studied by considering interface roughness (IFR), dislocation (DIS), and polar optical phonon (POP) scattering. Analytical formulae are introduced to calculate the critical thickness and dislocation density in the barrier layer of MgZnO/ZnO heterostructures. The calculated critical thickness for the MgZnO/ZnO heterostructure is much smaller than that for the AlGaN/GaN heterostructure system. At room temperatures, POP scattering is found to be the most important scattering mechanism. On the other hand, the change of electron mobility limited by IFR as a function of the barrier thickness in the MgZnO layer is found to be quite different to that limited by DIS. High-density (> 10 13 c m − 2 ) 2DEG can be obtained in the MgZnO/ZnO interface by increasing the thickness and Mg composition in the MgZnO layer.
Index construction for sustainable development investing

ABSTRACT We implement the definition for Sustainable Development Investing (SDI) developed by the Global Investors for Sustainable Development (GISD) Alliance to construct an investable global SDI-aligned equity index. To this end, we create a proprietary methodology to rate companies’ SDI contribution using the Sustainable Development Goals (SDGs) as the appropriate unit of measurement. We find that the inclusion of SDI preferences in a multi-objective portfolio yields similar risk-return characteristics as a benchmark portfolio. This article informs institutional investors and index providers about practical approaches to implement the SDI definition with recently developed commercial data solutions. In this context, we review and provide an overview of data availability for the classification of companies’ alignment to the SDGs based on their products and services.
Prediction of Travel Time Reliability on Interstates Using Linear Quantile Mixed Models

Under the Moving Ahead for Progress in the 21st Century Act (MAP-21), state Departments of Transportation (DOTs) are responsible for reporting travel time reliability and also setting targets and showing progress toward those targets. To know how to improve travel time reliability and what to expect from investments in transportation infrastructure, state DOTs need a better understanding of the factors that affect travel time reliability and methods to predict future travel time reliability. This paper proposes linear quantile mixed models (LQMMs) to quantify travel time reliability impact factors and predict selected reliability measures (level of travel time reliability [LOTTR] and the 90th percentile) to address these needs. The method was demonstrated using probe vehicle data from interstate segments in Virginia that had been partitioned into approximately homogeneous clusters based on the similarity of their cumulative distribution functions (CDFs) of travel times. Using clustered data meant that LQMMs were only necessary for a limited number of clusters rather than for hundreds of individual segments, thus making the process more efficient and manageable. The LQMMs showed that frequencies of non-recurrent events, such as incidents and weather, were correlated with higher travel time percentiles. The prediction performance of LQMMs was compared with trend line predictions, a common method used in practice. The results showed that LQMMs significantly improved prediction accuracy.
Proposing the combination of spatial components to build residential buildings at levels of details in 3D space

In the long historical development of urban architecture is always diverse in terms of type, style, and color. This is a major challenge for GIS researchers of 0-1-2-2.5-3-3.75-4D space. How can they perform residential buildings in a 2D computer screen? This great challenge is reflected in such aspects as shapes of buildings, storage of space of buildings, update the space of buildings, and query the space of buildings. This article systematizes the related researches, classifies existing GIS models, reviews and recommends the combination of spatial components for the construction of residential buildings at the detailed level (LODs) in three-dimensional (3D) space, so receivable result is a GIS new data model, this new model is called IOLODs. The paper installs experimental combinations of spatial components to become residential buildings. This experimental setup is deployed on Oracle 11G and C#, resulting in a visual representation of residential buildings at LODs in 3D space. The empirical results show that integrating spatial components into the construction of residential buildings in new urban planning is a practical and correct work.
Classification of objects buried in inhomogeneous medium by artificial neural network using data obtained by impulse GPR with 1 Tx+ 4Rx antenna system

The detection of objects in random inhomogeneous medium by processing signals received by means of ground penetrating radar using artificial neural network is presented in the work. The simulation of impulse wave propagation through inhomogeneous medium and reflection from an object is carried out by FDTD method. The medium is a model of a soil with inclusions of random placement, size, and permittivity. The buried objects are the model of real antipersonnel mines. Four-element antenna system produces four different signals used after discretization as input data for artificial neural networks. The network is trained to recognize the object and its position for different models of random inhomogeneities of the medium. Its work is checked for the case of presence of Gaussian noise in received signals.