Miracle-dz/UniFAR-FTUs huggingface dataset:
The Geometrical Formulation of Quantum Mechanics

The approaches to Classical and Quantum Mechanics are quite different in many aspects, the most striking one being the linear structure which is present in the Hilbert space H and which is considered usually as one of the most relevant aspects of the formalism. There are also suggestive similarities, as has been noted often (see [31, 32, 41, 49]) but they have been approached mainly from the algebraic point of view. Our goal in this paper is to describe an alternative description of Quantum Mechanics which is formally analogue to the description of nonrelativistic Classical Mechanics from a geometrical perspective. We will also discuss the main advantages of this new approach, and the most significative differences. We also present two applications to physically relevant examples: the ability to discuss independence of quantum observables (in the context of entanglement witnesses) and a Hamiltonian description of Ehrenfest equations for molecular systems.
Prediction of Individual Level Income: A Machine Learning Approach

The use of machine learning models to improve prediction problems and handle increasingly large datasets is a rising trend in economics. Prediction plays a particularly important role in applied economics because it provides critical insights to assess market outcomes. This study builds on previous literature to showcase the relative power of these modelling methodologies in economics through the prediction of income. This research utilizes data from the Current Population Survey from 2017 – 2020, containing 467,811 observations and 264 variables. 2017-2018 data served as training data for the models and 2019-2020 served as data for the two testing sets. The results show that machine learning models performed better than traditional prediction approaches in predicting individual total income. The high performance of the machine learning models supports that these methodologies should be utilized alongside more traditional techniques to assist in economic research focusing on prediction. With further development, these models could be used with great effect to assist in both the public and private sectors.
Balanced Scorecard Model in the Banking Sector

: The performance measurement system aims to keep the individuals and organizational units in the company in line with the previously established plan. In order to set a long-term strategy of the company that will enable competitive success, it is necessary to use a tool or approach that will enable performance measurement and will provide a clear picture of the overall operation of the company for both financial and non-financial purposes. Hence the subject of this research, and that is the Balanced Score Card model, through which executives in the company use it for communication, information and leraning system. The purpose of this research is through analytical method to make a descriptive analysis of the balanced score card model, ie its application in the banking sector by proposing appropriate strategic activities, goals and key performance indicators for each of the perspectives.
Changes in belowground interactions between white lupin and wheat along nitrogen and phosphorus gradients

The positive effects of cereal-legume intercropping can occur through complementarity and 24 facilitation for the acquisition of soil nitrogen (N) and phosphorus (P). However, the magnitude design we the performance and underlying mechanisms of In a pot experiment, wheat ( Triticum aestivum L.) and white lupin ( Lupinus albus L.) were 30 grown separately or together on four levels of N combined with four levels of P. We compared 31 biomass, N content, P content, shoot-to-root biomass ratios and white lupin production of 32 cluster roots and nodules of sole crops with those of intercrops. We used the relative 33 interaction intensity index to determine how the nature of the interaction between the two 34 species changed along the two resource gradients.
INFLUENCE OF NON-FINANCIAL REWARDS ON EMPLOYEE PERFORMANCE IN THE STATE CORPORATIONS IN KENYA

: Kenya aspires to attain sustained and high growth in economy in line with employment by the government, creating wealth and reducing poverty to conform to 2030 vision. To achieve this, the public sector which is the biggest employer must monitor the performance of its employees. The main objective of the study was to establish the influence of financial rewards on Employee Performance in the State Corporations in Kenya. The study was guided by three theories which include; Abraham Maslow’s, Hertzberg’s, Vrooms’ expectancy, scientific management, Adams Equity Reinforcement and goal setting theories. The study used descriptive and explanatory research designs and targeted 6 respondents from the 107 sampled state corporations totaling to 642. The study undertook a pilot study to pretest and validates the questionnaire. The probability and non-probability sampling was adopted and the study used stratified sampling and purposive sampling. The findings showed that non-financial rewards are a strong predictor of employee performance. The study recommends that state corporations in Kenya needs to establish a reward management policy/system and involve employees in determining acceptable and affordable non-financial rewards based on achievement of performance targets and the organization’s ability to pay or provide for these rewards.
Magneto-mechanical analysis of magnetic gear pole pieces ring from analytical models for wind turbine applications

This article deals with the structural behavior of a multi-bar system which maintains pole pieces in a concentric magnetic gear. Simplified analytic magnetic and mechanical models of the system are proposed in order to be integrated in a multi-criteria global optimization for the sizing of a magnetic gear in wind power applications. For this purpose, the reduction of the computation time is taken into account. The geometry of the support bar subsystem is defined and a Q bar structure is proposed. The magnetic study is based on Maxwell’s equations and subdomain method in order to determine variable radial and tangential magnetic loads. The mechanical study is based on a multibody model with different bars stiffnesses which are determined from a one-dimensional model. Variable radial and tangential magneto-mechanical pole pieces loads (magnetic load and weight) are also considered. An example of a magnetic gear with 172 pole pieces (i.e. 6-MW wind turbine) is proposed to analyze the mechanical behavior and also the computation time.
Does Human Height Have a Correlation with the Risk of Knee Osteoarthritis: A Cross-Sectional Study?

Background: Knee Osteoarthritis (KOA) is more prevalent in Asian population as compared to American and Europeans, and Obesity, measured by Body Mass Index (BMI) is said to be an important risk factor. Body weight alone has been, since ages, highlighted for changes in Body Mass Index (BMI) although BMI has two components: height and weight of the subjects. This study was, therefore, designed to identify the association of height and weight individually with the risk of KOA development. Method: Eighty non-obese primary KOA subjects were recruited. Anthropometric parameters viz; Height, Weight, BMI, MUAC, TSFT and WHR were recorded. Self- reported VAS score for knee pain and WOMAC scores for pain, stiffness and physical function were recorded to assess clinical severity. X-ray and MRI were performed to assess KL grade and Articular Cartilage Volume (ACV) for radiological severity. Results: VAS scores had a significant negative correlation with height and positive correlation with BMI. WOMAC pain positively correlated with age and WHR. WOMAC stiffness did not correlate with any of the anthropometric measures. WOMAC physical function and total WOMAC scores had significant negative correlation with WHR. ACV had significant negative correlation with age, BMI and WHR, whereas positive correlation with height. Weight, TSFT and MUAC were not associated with disease severity. Height was the only variable associated with KL grades as it increased lessening Conclusion: In contrary to all previous studies, Height, not Weight had significant association with the clinical and radiological severity in KOA. Ours would be the first study to report this finding and may offer an explanation that why KOA is more prevalent in Asian population, which is shorter in comparison to American and European.
Potential Of Syringodium Isoetifolium On Hela Cell Lines

Seagrass is a plant that lives in tidal areas, possesses unique secondary metabolites, which have roles as anticancer bioactive compounds. The aim of the present investigation was to evaluate the effect of in vitro anticancer and cytotoxic activity of the methanol extracts of Syringodium isoetifolium leaves, against the human HeLa cervical cancer cell line and to compare to the normal African green monkey kidney epithelial cell line (Vero) using the MTT colorimetric assay. Results showed that the methanol extract exhibits their potential as an anticancer agent. HeLa cell lethality by semi polar extract, polar extract and doxorubicin are 48.11%, 15.32 % and 48.75%, respectively. Ethyl acetic crude extract of fresh seagrass contain phytochemical compounds of alkaloid, terpenoid, polyphenol and flavonoid. The results suggest that the methanol extracts of S.isoetifolium exhibit greater activity on the HeLa cell line, meaning that these plant can be evaluated for potential promising anticancer activity.
Insight into Screening of Secondary Metabolites, Phenolic and Flavonoid Contents and Antioxidant Activity of Raphanus sativus L. Cultivated in Eastern Province of Saudi Arabia

Medicinal plants and vegetables are promising source of antioxidant products. The purpose of this study is to evaluate the phytochemicals and antioxidant activity of leaves and roots of Raphanus sativus of Saudi origin. Various phytochemicals were screened in n-hexane, chloroform, ethyl acetate and aqueous fractions of leaves and roots of Raphanus sativus using standard protocols and IR screening method. Total phenolic (TPC) and flavonoid (TFC) contents were assessed by Folin-Ciocalteau and aluminium chloride methods respectively. The antioxidant activity was evaluated by DPPH antioxidant protocol, using trolox as standard. Results demonstrated that Raphanus sativus chemically characterized by the availability of various constituents such as flavonoids, steroids, saponins, tannins and carbohydrates at different levels in fractions of leaves and roots of Raphanus sativus and the absence of cardiac glycosides, anthraquinones and alkaloids which was further confirmed using FTIR analysis. TPC was ranged from (8.92±1.01) and (211.80±1.57) mg GAE/g extract and TFC was ranged from (0.036±0.03) and (11.57±0.60) mg QE/g extract for leaves and roots extracts respectively. Due to the high phenolic and flavonoid content in aqueous and ethyl acetate fractions of leaves and roots extracts ‎ , results demonstrated high antioxidant activity with IC 50 : (56.3±1.3) and (69.7±1.8) for aqueous fractions and ‎ (47.2±1.5) and (58.7±0.7) ‎ for ethyl acetate fractions ‎ of leaves and roots extracts respectively Study revealed that ethyl acetate and aqueous fractions of leaves and roots of Raphanus sativus could ‎ develop a potential natural antioxidant ‎ herbal remedy. The study recommends future investigation to isolate and identify the bioactive secondary metabolites in Raphanus sativus .
A Bit-level Sparsity-aware SAR ADC with Direct Hybrid Encoding for Signed Expressions for AIoT Applications

In this work, we propose the first bit-level sparsity-aware SAR ADC with direct hybrid encoding for signed expressions (HESE) for AIoT applications. ADCs are typically a bottleneck in reducing the energy consumption of analog neural networks (ANNs). For a pre-trained Convolutional Neural Network (CNN) inference, a HESE SAR for an ANN can reduce the number of non-zero signed digit terms to be output, and thus enables a reduction in energy along with the term quantization (TQ). The proposed SAR ADC directly produces the HESE signed-digit representation (SDR) using two thresholds per cycle for 2-bit look-ahead (LA). A prototype in 65nm shows that the HESE SAR provides sparsity encoding with a Walden FoM of 15.2fJ/conv. -step at 45MS/s. The core area is 0.072mm2.
Modeling interface engineered phase-change memory cell

Due to its outstanding scalability, phase change memory is regarded as a promising memory technology to enhance non-volatile storage in ultra-small feature size. However high power consumption remains the biggest obstacle on its way to market. Although interface engineering has been proved experimentally to be an effective way for power reduction, the mechanism is not completely understood hence the effect has not been included to any model for circuit simulation. Investigation on current reduction mechanism by interfacial layer insertion is conducted based on cell structure and interfacial material property. Comparison between prediction and experimental data give insights to the most possible current reduction mechanism, which is further verified by cross check of resistance and threshold voltage change brought by additional layer. The selected mechanism provides solid base for further model development on interfacial effects. Prior to incorporating the effect of interface engineering, a general model for phase change memory cell with generic structure is proposed. The proposed general model is able to reveal of detail dimension of phase change region, which is the most crucial factor for storage status of the cell. The model is proved to be universal regardless of the cell geometry and the
Coincident Detection Significance in Multimessenger Astronomy Coincident Detection Significance in Multimessenger Astronomy

We derive a Bayesian criterion for assessing whether signals observed in two separate data sets originate from a common source. The Bayes factor for a common versus unrelated origin of signals includes an overlap integral of the posterior distributions over the common-source parameters. Focusing on multimessenger gravitational-wave astronomy, we apply the method to the spatial and temporal association of independent gravitational-wave and electromagnetic ( or neutrino ) observations. As an example, we consider the coincidence between the recently discovered gravitational-wave signal GW170817 from a binary neutron star merger and the gamma-ray burst GRB  170817A: we ﬁ nd that the common-source model is enormously favored over a model describing them as unrelated
Minimum Inter-Event Times for Rainfall in the Eastern Monsoon Region of China

Abstract.Minimum inter-event time (MIT) is an index used to delineate independent storms from sub-daily rainfall records. An individual storm is defined as a period of rainfall with preceding and succeeding dry periods less than MIT. The exponential method was used to determine an appropriate MITexp for the eastern monsoon region of China based on observed 1-min resolution rainfall data from 18 stations. Results showed that dry periods between storms greater than MITexp followed an exponential distribution. MITexp values varied from 7.6 h to 16.6 h using 1-min precipitation data, which were statistically not different from values using hourly data at p = 0.05. At least ten years of records were necessary to obtain a stable MIT. Values of storm properties are sensitive to the change in MIT values, especially when MIT values are small. Average precipitation depths across all stations were 45% greater, durations were 84% longer, maximum 30-min intensities were 27% greater, and average rainfall intensities were 20% less when using an MIT of 10 h, the average value of MITexp over 18 stations, compared to 2 h. This indicates that more attention should be paid to the use of the MIT index as it relates to storm properties. Keywords: China, Exponential method, Minimum inter-event time, Storm, Storm property.
Does Board Diversity Affect Corporate Dividend Policy?

: We find that firms with gender/racial diversity in their boards are more likely to pay larger dividends than are firms with non-diverse boards. Our results suggest that board diversity has a significant impact on dividend payout policy. The impact of board diversity on dividend payout policy is particularly conspicuous for firms with potentially greater agency problems of free cash flow, suggesting that a diverse board helps to mitigate the free cash flow problem. Our findings are consistent with the argument that board diversity enhances the monitoring function of directors and the shareholder-manager conflict resolution for the benefit of shareholders.
Implementation of a Lean Model in Manufacturing Industry

Value Stream Mapping technique involves flowcharting the steps, behavior, material flows, interactions and other process elements that are involved with a procedure or transformation. With respect to Value stream mapping helps an association to recognize the non-value-adding elements in a targeted process and brings an invention or a group of products that use the same resources throughout the main flows, from raw material to the arms of customers. In this study, a practical study carried out in a manufacturing industry for the manufacture of Machining center is discussed. The major aim was to draw the modern state value stream mapping for the main Components like Base, Column, Cross Slide, Milling Head and Table. Additional the paper has identified some of the processes which can be approved out by the sub service provider and recommended measures to be taken up by the higher level management in reducing the non value added process. It discusses the reduction in the set up time and cycle time that can be obtained during the implementation. This paper also discusses the plan of action for humanizing the Future State Value Stream Mapping (FVSM). A FVSM for the manufacture of Base is drawn.
Cloth Manipulation and Perception Competition

—In the last decade, several competitions in robotic manipulation have been organised as a way to drive scientific progress in the field. They enable comparison of different approaches through a well-defined benchmark with equal test conditions. However, current competitions usually focus on rigid-object manipulation, leaving behind the challenges that suppose grasping deformable objects, especially highly-deformable ones as cloth-like objects. In this paper, we want to present the first competition in perception and manipulation of textile objects as an efficient method to accelerate scientific progress in the domain of domestic service robots. To do so, we selected a small set of tasks to benchmark in a common framework using the same set of objects and assessment meth-ods. This competition has been conceived to freely distribute the Household Cloth Object Set to research groups working on cloth manipulation and perception and participate on the challenge. In this work, we present an overview of the tasks that are proposed in the competition, detailed descriptions of the tasks and more information on the scoring and rules are provided in the website http://www.iri. upc.edu/groups/ perception/ClothManipulationChallenge/ .
COLLECTIVE EXPERT APPRAISAL : SUMMARY AND CONCLUSIONS regarding the expert appraisal on recommending occupational exposure limits for chemical agents on the evaluation of biomarkers of exposure and recommendation of biological limit values and biological reference values for styrene oxide

On 12 June 2007, AFSSET, which became ANSES in July 2010, was requested by the Directorate General for Labour (DGT) to carry out the necessary assessment for setting occupational exposure limits for styrene oxide. France does not currently have any occupational exposure limits for styrene oxide. The DGT asked the Agency to propose occupational exposure limits based on health considerations. The Agency thus assessed the available data to decide on the relevance of recommending the monitoring of one or more biomarkers and to establish, where appropriate, biological values for the biological monitoring of occupational exposure to styrene oxide.
Comments on the Public Workshop : 2022 Scoping Plan Update – Building Decarbonization Workshop

Southern California Gas Company (SoCalGas) appreciates the opportunity to provide public comments on the California Air Resources Board (CARB) 2022 Scoping Plan Update – Building Decarbonization Workshop held December 13, 2021. We thank you for also extending the deadline to submit public comments. California is seeking to achieve carbon neutrality goals by 2045; however, there is currently no blueprint or consensus on the path to get there. Collaborative and fact-based engagement among all stakeholders is essential to achieve these goals. Effective building decarbonization solutions that serve and advance the public interest must also be carefully designed and based on empirical scientific data to avoid the imposition of inequitable affordability effects.
Good Corporate Governance and The Impact on Earning Management Actions

This research aimed to examine the effect of managerial ownership, independent commissioners, and audit committees which are proxies of Good Corporate Governance (GCG), and their effect on earnings management in the population of companies listed on the IDX with a research sample of 11 companies for the 2015 – 2019 periods . From the results of purposive sampling, 55 samples of data were obtained from basic and chemical industrial manufacturing companies. Quantitative methods were used in this study. Data analysis was performed by using SPSS software with multiple Linear Regression analyses where managerial ownership and the Audit Committee do not affect Earnings Management practice. However, the composition of the Independent Board of Commissioners has a significant negative effect on Earnings Management.
KITTI 360 Pose Dataset Details

In this supplementary material, we provide additional information to further understand our proposed coarse-to-fine language-based localization model – Text2Pos. In Sec. 1, we provide more details about our KITTI360Pose dataset such as the query position sampling mechanism and the clustering and describing of scene object instances. Next, we describe implementation details about the cell database construction, data augmentation, model training and PointNet++ pre-training in Sec. 2. We further present thorough ablation experiments to study the impact of data variations on the localization performance in Sec. 3. There we also prove our concept of utilizing street names (when available) to better overcome the ambiguity in descriptions caused by the fact that many locations have semantically similar or equal surroundings. Finally, Sec. 4 shows qualitative results of top-k candidate cells retrieved during the coarse localization stage. We will release our code upon the paper’s acceptance.