Miracle-dz/UniFAR-FTUs huggingface dataset:
Integration of industry and management education: future of india

Globalization and Industrialization is responsible for liberalization of management education in India. Different classifications have been done for the Business Schools in India. But it is very difficult to understand the bases for these classifications as these classifications and ratings do not reflect the true performance of many institutions. There is a wide gap between the performance of top 10 B-Schools and rest B- Schools. One important reason for the difference is poor integration of industry and management education institutions. This study is an attempt to understand the need for industry academia partnerships, identifying the factors to be included in management education from industry point of view, analyzing current level of management education's competency as per requirements of industry.
Measuring Happiness in Adolescent Samples: A Systematic Review

Background: Happiness is a phenomenon that relates to better mental and physical health and even longevity. There has been an increase in surveys assessing subjective well-being as well as happiness, one of the well-being components that reflect one’s feelings or moods. Happiness is mostly measured in adult samples. There is a lack of an overview of the tools used to evaluate adolescent happiness, so this paper aimed to review them. Methods: A literature search was performed in the PubMed and PsycArticles databases (2010–2019). In total, 133 papers met the eligibility criteria for this systematic review. Results: The results are grouped according to the type of measure, single or multiple items, that was used in a study. Almost half of the studies (64 of 133) evaluated subjective happiness using single-item measures. The most commonly used scales were the 4-item Subjective Happiness Scale and the Oxford Happiness Questionnaire. Among the 133 articles analyzed, 18 reported some validation procedures related to happiness. However, in the majority of cases (14 studies), happiness was not the central phenomenon of validation, which suggests a lack of happiness validation studies. Conclusions: Finally, recommendations for future research and for the choice of happiness assessment tools are presented.
Characterization of SiC power transistors for power conversion circuits based on C-V measurement

Power switching devices are required for power electronics to regulate and distribute the power and energy from power conversion circuits. Silicon carbide (SiC) as a wide band gap semiconductor is the promising material for power switching device applications due to their inherent material characteristics. In present, SiC power transistors, especially SiC power MOSFETs and JFETs, are the most possible power switches for high switching frequency power conversion circuits due to fast turn-off capability. Transient behavior in switching operation of SiC power transistors responds to charge/discharge phenomenon of terminal capacitances in the devices. The differential capacitance in a semiconductor device varies with the applied voltage in accordance with the depleted region thickness. In this dissertation, we developed the C-V characterization system for high-voltage power transistors, which realizes the selective measurement of a specified capacitance from among several capacitances integrated in one device. Three terminal capacitances are evaluated to specify device characteristics–the capacitance for gate-source, gate-drain, and drain-source. The input, output, and reverse transfer capacitances are also evaluated to assess the switching behavior of the power transistors in the circuit. Next, we characterized the voltage dependence of terminal capacitances of the SiC power MOSFET, lateral-type SiC JFET, and vertical-type SiC JFET, and also characterized the static I-V characteristics of the power devices. Then, we evaluated the switching operation of the power devices with considering the charge/discharge behavior of terminal capacitances of the devices. Their device structures decide the voltage dependence of the capacitance characteristics, so that the C-V characteristics govern their switching behaviors. The results give us a clue to understand the switchi ing dynamics of the power devices. The simulated switching behavior of the power devices is validated with the experimental results. It is clearly shown that the simulated results in switching behavior of the power devices coincided with experimental results suitably. In the end, we demonstrated the operation of the SiC power MOSFET in a high frequency switching converter circuit for evaluating its performances The experiment results showed smooth waveforms of the current and voltage. Therefore, the SiC power MOSFET can be suitably used in the high frequency switching converter circuit to regulate the output voltage.
Selective influence of dopamine on electrocortical signatures of error monitoring: a combined EEG and immersive virtual reality study in Parkinson’s disease

The saliency of detecting errors in one’s own and other’s actions is likely linked to the discrepancy between intended or expected and produced or observed output. Salient events seem related to dopamine, the balance of which is profoundly altered in Parkinson’s disease (PD). EEG studies in healthy participants indicate that the occurrence of errors in observed actions triggers a variety of electrocortical indices (like mid-frontal theta activity and the Error Positivity, oPe), that seem to map different aspects of error detection and performance monitoring. Whether these indices are differently modulated by dopamine in the same individual has never been investigated. To explore this issue, we recorded EEG markers of error detection by asking healthy controls (HCs) and PD patients to observe ecological reach-to-grasp a glass actions performed by a virtual arm seen in first person perspective. PD patients were tested under their dopaminergic medication (‘on-condition’), and after dopaminergic withdrawal (‘off-condition’). HCs showed a clear oPe and an increase of theta power during the observation of erroneous vs. correct actions. In PD patients, oPe responses were always preserved. Crucially, however, an error-related increase of theta power was found in ‘on’ but not in ‘off’ state PD patients. Thus, different EEG error signatures may index the activity of independent systems and error related theta power is selectively modulated by dopamine depletion. Our findings may pave the way to the discovery of dopamine-related biomarkers of higher-order motor cognition dysfunctions that may have crucial theoretical and applied implications. Significance Statement Dopaminergic neurons respond to salient events during performance monitoring. Yet, the impact of dopamine depletion on the human reactivity to observed errors is still unclear. We recorded EEG in patients with Parkinson’s Disease (PD) under dopaminergic treatment (‘on-condition’) and medication withdrawal (‘off-condition’) while they observed correct and erroneous goal-related actions performed by a virtual limb. Analysis of Error Positivity (oPe) and theta power increase, two markers of physiological error-monitoring, indicates that while the former was intact, the latter was preserved in the ‘on’ and altered in the ‘off’ condition. Thus, different EEG markers of error monitoring likely rely on independent circuits. Moreover, mid-frontal theta activity alterations may represent a marker of dopamine-related neurophysiological impairments of higher-order cognition.
miR-497-5p-RSPO2 axis inhibits cell growth and metastasis in glioblastoma

Numerous studies have found a relationship between cancer formation and aberrant microRNA expression, however the biological significance of miR-497-5p in glioblastoma (GBM) is still unknown. Compared to normal brain glial cells, miR-497-5p expression in GBM tissues was substantially lower in our study. The microRNA miR-497-5p targets R-spondin 2 (RSPO2) only when it is present. RSPO2 silencing has the same effect on GBM cells as miR-497-5p silencing, as demonstrated before. Additional mechanistic investigations have shown that miR-497-5p suppresses the Wnt/β-catenin signaling pathway by targeting RSPO2 to reduce cell proliferation, migration, and invasion. A negative correlation was discovered between MiR-497-5p and RSPO2 in 37 of the GBM tumors studied. MiR-497-5p-RSPO2 axis controls Wnt/β-catenin signaling and plays a function in GBM carcinogenesis, suggesting that it may be a therapeutic target to reduce GBM growth, as shown by our research findings.
Measuring Robustness and Coverage of Transportation Networks with Multiple Routes and Hubs

Robustness, or the resilience of a system to failures and attacks without changing its mode of operation, is an increasingly important characteristic of networks. Even though there are several measures of network robustness, they are not applicable to networks with several links between the same pair of nodes (multiline networks), such as transportation systems. A local index and a set of global indexes are introduced to capture the robustness of having multiple connections between the same nodes. These new indexes are designed to uncover the potential vulnerabilities of network components (i.e., hubs, terminals, and lines) to possible malfunctions that might not be well identified with traditional connectivity matrix–based methods. Results of these measures are compared with traditional network connectivity and robustness indexes for both simulated networks that vary topologically and are each composed of multiple lines that overlap in connectivity and a set of representative rail systems in the United States. A discussion of the applicability of these new multiline robustness measures for decision makers and transportation planners to prioritize the development, protection, or maintenance of network components is provided.
Limitations of Networked Controlled Systems

OF DISSERTATION Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Engineering The University of New Mexico Albuquerque, New Mexico December, 2008 Limitations of Networked Controlled Systems by Ivan Lopez Hurtado Industrial Physics Engineering, Tecnológico de Monterrey, 1995 M.S., Automation, Tecnológico de Monterrey, 1998 Ph.D., Engineering, University of New Mexico, 2008
A New Reduced Common-mode Voltage SVM Method for Indirect Matrix Converters with Output Current Ripple Minimization

This paper presents a new space vector modulation (SVM) method for indirect matrix converters (IMCs) to reduce commonmode voltage as well as minimize output current ripple in a high voltage transfer ratio. In the proposed SVM, the three-vector modulation scheme is used in the rectifier stage, while the nonzero state modulation technique, where the three nearest active vectors are selected to synthesize the desired output voltage, is applied to inverter stage to reduce the CMV. The proposed SVM method can significantly reduce the output current ripple and common-mode voltage of the IMC without any extra hardware. Simulated results are provided to demonstrate the effectiveness of the proposed SVM method.
Cost of energy for offshore wind turbines with different drive train types

Drive train configurations differ in many of the modern MW scale wind turbines available. These differences occur from manufacturer to manufacturer and even within a single manufactures own portfolio. The wind energy industry aims to reduce the cost of ene rgy (CoE) for offshore wind turbines to make it cost competitive with ot her forms of energy generation (gas, coal, onshore wind etc.) This paper aims to assist with t hat CoE reduction by modelling four wind turbine types with different drive trains to dete rmine which turbine type offers the lowest CoE.
Assessing Workplace Stress Among Nurses Using Heart Rate Variability Analysis With Wearable ECG Device–A Pilot Study

This study aims to measure workplace stress of nurses using heart rate variability (HRV) analysis based on data derived from wearable ECG heart rate monitors. The study population consists of 17 nurses at a major public hospital in China. Data was collected from 7 DON nurses (department of neurosurgery; all females; mean age: 31.43 ± 4.50), and 9 ICU nurses (intensive care unit; 8 females and 1 male; mean age: 31.33 ± 5.43). Each participant was asked to wear a wireless ECG heart rate monitor to measure stress level during work, and to complete the Chinese Nurses Stress Response Scale (CNSRS) after work as subjective response criteria. Demographic information, body posture, heart rate, R-R intervals (RRI), low frequency components (LF) and high frequency components (HF) were collected. LF%, LnHF and the squared root of the mean squared differences of successive NN intervals (RMSSD) based on HRV analysis were used to estimate the stress level of nurses. DON nurses reported a higher LF%, lower LnHF and lower RMSSD than ICU nurses. Work shifts were shown to have significant effects on LF%, LnHF and RMSSD respectively, with nurses in long shifts and night shifts reported high stress levels. Higher LF%, lower LnHF and lower RMSSD were found during work shift. Posture analysis revealed negative correlations with LnHF and RMSSD in walking and standing/sitting positions, and a significant negative correlation with LF% in lying-down position. Nurses with higher LF% reported higher CNSRS scores in all subscales, whereas nurses with lower LnHF or RMSSD reported higher CNSRS scores in social phobia and fatigue subscales. The results of this study support the idea that HRV can be used to investigate workplace stress among nurses under real work condition, and can serve as a preventive measure for identifying stress-related illnesses among nurses.
Identification of Nutrient Distribution at Abandoned Livestock Manure Handling Site Using Electromagnetic Induction

Movement of nutrients from livestock manure handling sites has the potential to negatively impact the environment. This study was conducted to determine whether electromagnetic induction (EMI) could be used to identify regions of nutrient build-up beneath an abandoned compost site. A trailer mounted EM-38, coupled with a global positioning satellite system, was towed across an area used for composting of feedlot manure. The resulting maps gave clear indication of the location of the composting rows. The identified rows were cored and compared with the region between the rows. The rows demonstrated significantly greater soluble salts (1.6 times greater), NO3 (6.0 times greater), and Cl (2.0 times greater) compared to the area between the rows to a 1.5m depth (P<0.05). The use of EMI for mapping of sites having a history of livestock waste application was effective in locating high nutrient buildup areas.
TÜRK İNŞAAT SEKTÖRÜNDE GRUP DAVRANIŞI VE GRUP YÖNETİMİ

Genel olarak grup, iki veya daha fazla kisinin belirli rolleri ustlenmesi ile olusmaktadir. Gruplar, cogu kez grup bireylerinin kisisel dusunce ve davranislarini etkileyerek veya tamamen donusturerek kendi norm ve kulturlerini olusturmaktadirlar. Bu nedenlerle, yonetim bilimi, bireyler kadar, grup psikolojisi ve davranislariyla da ilgilenir. Insaat isleri disiplinler arasi isbirligi ve cok sayida grubun katilimi ile gerceklestirilen emek yogun bir uretim seklidir. Yapi uretiminin beklenen kalite, maliyet ve surede sonuclanmasinda, uretime katilan gruplarin anlayis ve davranislari onem arz etmektedir. Bu calismada, yapi uretiminde etkinligi fazla olan tasarim, denetim ve taseron gruplarinin birbiri ile iliskisi ve etkilesimlerinin arastirilmasi amaclanmistir. Bu cercevede ifade edilen gruplar hakkinda anket yoluyla veri toplanmistir. Elde edilen verilerde her uc grubun proje eksikligi, denetim yetersizligi ve uygulama hatalari ile ilgili onemli ve celiskili tespitleri olmustur.
The Effects of Acceptance and Commitment Therapy With and Without Compassion on Spiritual Fatalism and Depression in Diabetic Patients

Background and Objectives: There exists a relationship between spirituality and depression. Moreover, psychological interventions are effective in this regard. Thus, this study aimed to investigate the effects of Acceptance and Commitment Therapy (ACT) with and without compassion on spiritual fatalism and depression in non-clinically depressed diabetic patients. Methods: This was a quasi-experimental study with a pre-test, post-test and follow-up and a control group design. The statistical population included all non-clinical depressed patients with type 2 diabetes in the welfare centers of Mashhad City, Iran, in 2020. To form 3 research groups using the purposive sampling method, 33 subjects were selected and randomly divided into the study groups. Moreover, after 2 months, a follow-up test was performed on the research groups. The research instruments included the Patient Health Questionnaire (Depression) by Arbi et al. and the Diagnosis Scale of Egede and Ellis Diabetes. Results: The repeated measures analysis of variance data suggested that the ACT approaches with and without compassion intervention were effective in increasing spiritual fatalism (P<0.05) and reducing depression (P<0.05) in the explored nonclinical depressed diabetic patients. Moreover, the follow-up data revealed the stability of the collected results (P<0.05). Conclusion:ACT, as an effective intervention can be used in medical centers to increase spiritual fatalism and reduce depression in diabetic patients with depression vulnerability.
Compact tri‐band bandpass filter with controllable frequencies

In this paper, we present a compact tri‐band bandpass filter (BPF). The resonator, which consists of a main transmission line, a center‐loaded open stub and a side‐loaded open stub, is utilized to obtain the three resonance frequencies. After selecting the impedance of each stub at this resonator, the passband frequencies can be controlled individually. Four transmission zeros are generated to enhance the selectivity. For demonstration, a compact tri‐band BPF is implemented. Good agreement between the measured and simulated results is presented to verify the theoretical predication. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:573–577, 2016
Applying GQM Method in Balanced Scorecard System for Iranian University Performance Appraisal

Rapid development in academic instruction sector has resulted in changes in the supply and demand of higher education graduates and influenced on the quality of education. Hence, if the performance assessment of a university is done in an effective manner, the university may identify internal strong and weak points and provide the chance of improvement. The aim of this article is to apply Balanced Scorecard Systems to access the performance of a sample in Iran’s universities. On the other hand, this article describes how to apply GQM method to obtain the suitable metrics of measurement in Balanced Scorecard System assessment to improve the efficiency.
Host-based Intrusion Detection System (HIDS)

This paper presents the data analysis and feature extraction of KDD dataset of 1999. This is used to detect signature based and anomaly attacks on a system. The process is supported by data extraction as well as data cleaning of the above mentioned data set. The dataset consists of 42 parameters and 58 services. These parameters are further filtered to extract useful attributes. Every attack in the dataset is labeled either with “normal” or into four different attack types i.e. denial-of-service, network probe, remote-to-local or user-to-root. Using different machine learning algorithms, the work tries to compare the individual accuracy, True Positive and False positive rate of every algorithm with every other algorithm. The work focuses its attention to increase security through detection of static as well as dynamic attack.
Accumulation of dysfunctional tumor-infiltrating PD-1+ DCs links PD-1/PD-L1 blockade immunotherapeutic response in cervical cancer

ABSTRACT Various predictive biomarkers are needed to select candidates for optimal and individualized treatments. Tumor‐infiltrating immune cells have gained increasing interest in cancer research for the prediction of therapeutic response and survival. However, the role of dendritic cells (DCs) in PD-1 blockade immunotherapy remains unclear. In this study, we identified a population of PD-1+ DCs in the tumor microenvironment (TME) of cervical cancer (CC). The accumulation of PD-1+ DCs in cervical tumors was correlated with advanced stages, elevated preoperative squamous cell carcinoma antigen levels and lymph-vascular space invasion. PD-1 expression was induced on activated tumor-associated DCs (TADCs) in vitro compared with their resting counterparts. This PD-1+ DC population was characterized by reduced secretion of cytokines (IL-12, TNF-α, and IL-1β) and dysfunctional induction of T cell proliferation and cytotoxic reaction. PD-1 blockade significantly reinvigorated PD-1+ DCs to release IL-12, TNF-α, and IL-1β compared with PD-1- DCs. TILs from samples with higher PD-1+ DC infiltration could be induced to achieve a greater killing effect of PD-1 blockade treatment. Our findings suggested a role for PD-1+ DCs in immune surveillance dysfunction and CC progression. PD-1+ DC density in the TME may serve as a diagnostic factor for predicting the optimal beneficiaries of PD-1/PD-L1 blockade immunotherapy in CC. Graphical abstract
Many-Body Mechanochemistry: Intra-molecular Strain in Condensed Matter Chemistry

Mechanical forces acting on atoms or molecular groups can alter chemical kinetics and decomposition paths. So called mechanochemistry has been proposed to influence a variety of processes, from the formation of prebiotic compounds during planetary collisions to the shock-induced initiation of explosives. It has also been harnessed in various engineering applications such as mechanophores and ball milling in industrial applications. Experimental and computational tools designed to characterize the effect of mechanics on chemistry have focused exclusively on simple linear forces between pairs of atoms or molecular groups. However, the mechanical loading in condensed matter systems is significantly more complex and involves many-body deformations. Therefore, we propose a methodology to characterize the effect of many-body intra-molecular strains on decomposition kinetics and reaction pathways. We combine four-body external potentials with reactive molecular dynamics and show that many body strains that mimic those observed in condensed matter encourage bond rupture in a spiropyran mechanophore and accelerate thermal decomposition of condensed TATB, an energetic material. The approach is generalizable to a variety of systems and can be used in conjunction with ab initio molecular dynamics, and the two examples utilized here illustrates both the versatility of the method and the importance of many-body mechanochemistry.
Abies webbiana Mediated Zinc Oxide Nanoparticles and Its Anti-inflammatory Activity

Introduction: Green nanoparticle synthesis provides a number of advantages, including being environmentally friendly, taking less time, being less expensive, being more stable, and, most significantly, not requiring the use of harmful chemicals. Aim: The aim of the present study is to evaluate the anti-inflammatory activity of zinc oxide [ZnO] nanoparticles prepared using Abies webbiana extract. Materials and Methods: In this study, ZnO nanoparticles were characterised using ultraviolet-visible spectroscopy and inhibition of albumin denaturation assay using A. webbiana extract. Results: The biosynthesised ZnO particles exhibited potent anti-inflammatory activity to inhibit COX activity. ZnO nanoparticles can be developed as a novel medicine and can be used as an alternative to commercially available anti-inflammatory agents, thus reducing the major health problems. Conclusion: Using A.webbiana extract, the findings suggest a cost-effective and environmentally friendly production of ZnO nanoparticles. ZnO nanoparticles mediated by A. webbiana showed promising properties. More investigations are required to understand the properties of these nanoparticles, which have a wide range of medical and dental applications.