Miracle-dz/UniFAR-FTUs huggingface dataset:
Financial Management Practices in Malaysian Islamic Social Enterprise s (ISE)

This study examined the role of financial management practices consisting of financial disclosure, internal control, financial planning and budgeting and financial performance management in Islamic Social Enterprises (ISEs) in Malaysia. A survey method was used and 102 financial officers in Malaysian ISEs had responded. T-test analysis was used to examine the significant differences based on Malaysian ISEs attributes including years of operation, organisational size and income generation level. This study found that Malaysian ISEs had moderate financial management practices led by internal control (77.46%), followed by financial disclosure (75.93%), financial planning and budgeting (68.87%) and the least was financial performance management (62.06%). Specifically, this study found that Malaysian ISEs with more years of operation, bigger in size and self-sustained in income generation had high financial management practices. Empirical findings from this study will benefit ISEs management, authority and regulator for monitoring and governing purposes. The study contributes by becoming among the early attempts studying financial management practice aspects of Malaysian ISEs.
A Portrayal of His Life and Work

The main purpose is to present a biographical portrayal of Antonio Campillo López. In addition to the most relevant aspects of his life and academic career, we offer a panoramic view of his scientiﬁc work in ﬁelds such as singularity theory, commutative algebra, algebraic geometry, or coding theory. We also stress that his endeavors have been closely linked to an important work of research training, from which a thriving school has emerged. Finally, his vision and inﬂuence will be considered through his numerous institutional and scientiﬁc policy responsibilities at all levels. The experience acquired by the RSME, through Imaginary, Divulgamat or Arbolmat, among other initiatives, demonstrates how mathematical culture reinforces and stimulates both institutional relationships and communication. In particular, communication is one of the aspects that have stood out most during the celebration of the Centennial, and also continues to be valid both internally among the mathematical community, and externally in relation to the general public.
Effect of dietary supplementation of rice based Distiller Dried Grains with Solubles (rDDGS) on haemato-biochemical parameters and carcass traits of Kuroiler Chicken

An experiment on 160 day old chicks for eight weeks was conducted and were randomly divided into four equal groups (n=40, with four replicate of 10 birds per group). Feeding trial was designed into four dietary groups viz . T 0 (Control, without rDDGS), T 1 (7.5% rDDGS), T 2 (15% rDDGS) and T 3 (22.5% rDDGS) in different dietary groups along with basal corn soyabean diet. The study revealed that all the haemato-biochemical parameters were found to be non-significantly ( p> 0.05) influenced by feeding rDDGS except cholesterol which was found significantly ( p< 0.05) affected by varying levels of feeding rDDGS. Similarly, all the carcass traits were found to have non-significant ( p> 0.05) variations except gizzard which remained significantly ( p< 0.05) affected by feeding rDDGS. No significant ( p> 0.05) effect of feeding rDDGS was recorded for cut-up parts in Kuroiler chicken. Therefore, incorporation of rDDGS as alternative protein source can replaced soybean meal up to 15% in the diet of Kuroiler chicken without any effect on hematobiochemical and carcass traits.
Evaluation of pin plate combination for surgical management of comminuted diaphyseal femur fracture in dogs

Femoral fractures constitute approximately 20% to 25% of all fractures in dogs and represent 45% of all long-bone fractures. Various external coaptation methods for fracture immobilization are available but these conservation techniques are ineffective and generally not suited for femur fracture fixation due to abundant quadriceps musculature. This study was aimed to evaluate the outcome of a pin plate combination for repair of a comminuted diaphyseal femur fracture in dogs. This study was carried out in ten clinical cases of dogs presented to the clinics with a comminuted diaphyseal femur fracture. We used 3.5mm (7-11 holes) stainless steel locking compression plates (LCP) in combination with Steinmann pin measuring mean diameter of 37% (32-44%) of marrow cavity at isthmus. In six cases, ancillary cerclage wires were used to proximate widely apart fragments. The initial weight bearing was recorded as early as 3 days and as late as 10 days, with the mean of 6.11±0.81 days. The mean time required for full functional limb usage was 60±12.68 days with a range of 30-120 days and similarly the mean time taken to achieve radiographic union was 70±11.18 days, which ranged from 30-120 days. Plate dislodgement was observed in one case, and it was re-operated for interlocking nailing. A case of sciatic nerve paralysis was observed in one dog but it was resolved with physiotherapy and rehabilitation. The final outcome was excellent 40% (n=4) and good 30% (n=3). Therefore, the pin plate combination can be used successfully for diaphyseal comminuted femur fracture repair with good implant stability and satisfactory bone healing.
Model-Assisted Estimators with Auxiliary Functional Data

Few studies focus on the application of functional data to the ﬁeld of design-based survey sampling. In this paper, the scalar-on-function regression model-assisted method is proposed to estimate the ﬁnite population means with auxiliary functional data information. The functional principal component method is used for the estimation of functional linear regression model. Our proposed functional linear regression model-assisted (FLR-assisted) estimator is asymptotically design-unbiased, consistent under mild conditions. Simulation experiments and real data analysis show that the FLR-assisted estimators are more efﬁcient than the Horvitz-Thompson estimators under different sampling designs.
Impacts of international transport infrastructure: evidence from Laos households

This study investigates the impact of international transport infrastructure on household living standards. We propose that a change in the share of food expenditure to total expenditure is a valid indicator of the improvement in living standards by infrastructure in developing countries. We apply this notion to the case of an international bridge between Laos and Thailand and explore its effects on Laos households. Our estimation results by difference-in-differences analysis and propensity score matching method show that establishing an international bridge decreases the share of food expenditure, suggesting that the living standards of the households close to the bridge were improved. Our main results are robust to alternative treatment measurements. Finally, we explored the heterogeneity of the treatment effects using a machine learning approach. We found that although the initial level of the total expenditure affected households’ ability to benefit from the bridge, all households, regardless of their characteristics, could benefit if they were in the districts close to the
The Micro Elasticity of Substitution between Clean and Dirty Energy with Technological Bias

The elasticity of substitution between clean and dirty energy inputs and the direction of technological change, either dirty-energy-augmenting or clean-energy-augmenting, are central parameters in discussing one of the most challenging questions facing the world today, climate change. Despite their importance, there are few studies that empirically estimate these key parameters. In this paper, I attempt to ﬁll this gap in the literature by estimating the elasticity of substitution between clean and dirty energy inputs from micro data, jointly with technological parameters that capture the direction of technological change within the energy aggregate. I ﬁnd estimates of the micro elasticity of substitution larger than unity. Technological progress appears to have been largely dirty-energy-augmenting over the period of 1994-2015. However, I ﬁnd evidence that government interventions had an impact on the direction of technological change – technological progress associated with clean energy occurring faster with changes in the relative energy prices and higher subsidies for clean energy in recent years.
Does the Social Exchange Theory (SET) Work Effectively for New Employees? An Empirical Study of Contingent Worker in Indonesia

Empirical studies should deal with the very important issue of organizational justice and citizenship behavior in contingent workers. This study aimed to determine the role of the leader-member exchange (LMX) theory and perceived organizational support (POS) as a mediator separately against the relationship between organizational justice (OJ) and organizational citizenship behaviors (OCB). The population of the study included 150 non-permanent lecturers at five private universities in Indonesia. Survey methods were used for data collection. Factor analysis output proved that OJ relates to four factors. These four dimensions have various relationships with OCB directed towards the organization (OCBO) and OCB directed towards supervisor (OCBS) separately. The result of the structural equation modeling showed that POS and LMX cannot play a mediating role in the relationship between OJ and OCB in the context of non-regular workers.
Qualitative Estimates For Partial Differential Equations: An Introduction

Part I Preliminaries and Fundamental Issues Estimates Based on First Order Differential Inequalities 1: Liapunov Method Estimates Based on First Order Differential Inequalities 2: Volume Integral and Other Methods Estimates Based on Second Order Differential Inequalities Identities Holding Along Solutions to Partial Differential Equations: Lagrange Identity Method Weighted Integral Methods Part II Elliptic Equations Parabolic Equations Hyperbolic, Related Equations, and Others Appendix: Fundamental Inequalities
Generalized Least Squares Model Averaging

In this article, we propose a method of averaging generalized least squares estimators for linear regression models with heteroskedastic errors. The averaging weights are chosen to minimize Mallows’ Cp-like criterion. We show that the weight vector selected by our method is optimal. It is also shown that this optimality holds even when the variances of the error terms are estimated and the feasible generalized least squares estimators are averaged. The variances can be estimated parametrically or nonparametrically. Monte Carlo simulation results are encouraging. An empirical example illustrates that the proposed method is useful for predicting a measure of firms’ performance.
Genetic Variability in Ginger ( Zingiber officinale Rosc.) Stress Management

country including one recommended variety Himgiri as check. These genotypes had shown considerable variability for all the parameters studied. The observations were recorded on emergence, number of tillers and leaves plant -1 , leaf length and breadth, plant girth and height, length, girth, core diameter and weight of mother, primary and secondary rhizomes, number of primary and secondary rhizomes plant -1 , yield plant -1 plot -1 ha -1 , incidence of rhizome rot, dry matter and oleoresin content. The genotypic coefficients of variability (GCV) were moderate for number of secondary rhizomes plant -1 , weight of primary and secondary rhizomes and yield plant -1 plot -1 ha -1 , whereas, the phenotypic coefficients of variability (PCV) were moderate for emergence, number of tillers and leaves plant -1 , number of secondary rhizomes plant -1 , weight of mother, primary and secondary rhizomes, yield plant -1 plot -1 ha -1 , oleoresin content and incidence of rhizome rot. High heritability coupled with high and moderate genetic gain was observed for yield plot -1 ha -1 and weight of mother, primary and secondary rhizomes indicating the importance of these characters for selection. It indicated that these traits were amenable to selection. The overall assessment showed that there was wide variability among ginger genotypes which has important implication for breeding ginger for yield and quality attributes. ABSTRACT Ginger, heritability,
Hydroelastic response of submerged wave energy devices †

—This study is concerned with hydroelastic interaction of water waves with a fully-submerged wave energy device. The oscillating component of the submerged energy device is a circular, horizontal disc. Wave interaction with the horizontal disc results in for-mation of time-dependent pressure differential above and below the disc, and consequently a periodic vertical force. The wave-induced force on the disc results in vertical oscillations of the horizontal disc. Rigid-body motion of the disc is restricted to vertical oscillations only by use of the guide rails that are attached to the main frame of the energy device, secured on the seaﬂoor. The vertical oscillations of the disc is converted to electricity by use of a direct-drive power take off system. In this study, the effect of wave and structural conditions on the oscillations are studied. The disc may undergo some elastic deformation due to the wave loads, and this may effect the performance of the wave energy device. The hydroelastic deformations of the disc, and its effect on the oscillations is also considered by combining the three-dimensional linear potential theory with the structural ﬁnite element analysis. The wave-induced responses of the wave energy device, including oscillations, and structural deformations are presented for a range of wave frequencies, and results are compared with existing laboratory measurements. The elastic deformations are studied for the discs built of different materials and results are compared and discussed. The responses are analyzed for various PTO and control systems.
A constraint-based theory of phonological markedness and simplification procedures

La Grammaire Universelle contient des listes organisees hierarchiquement de contraintes sur les co-occurences de traits, incluant les specifications marquees, qui caracterisent certaines configurations de traits comme etant phonologiquement complexes. Si une specification marquee est active dans une langue, le segment identifie est rejeter. Quand un locuteur rencontre un tel segment il utilise des procedures de simplification pour reparer la configuration de ce segment. Les specifications marquees fournissent les bases pour la definition des traits marque et contrastif
The Web of False Information

A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false-information campaigns with targeted manipulation of public opinion on specific topics. These false-information campaigns can have dire consequences to the public: mutating their opinions and actions, especially with respect to critical world events like major elections. Evidently, the problem of false information on the Web is a crucial one and needs increased public awareness as well as immediate attention from law enforcement agencies, public institutions, and in particular, the research community. In this article, we make a step in this direction by providing a typology of the Web’s false-information ecosystem, composed of various types of false-information, actors, and their motives. We report a comprehensive overview of existing research on the false-information ecosystem by identifying several lines of work: (1) how the public perceives false information; (2) understanding the propagation of false information; (3) detecting and containing false information on the Web; and (4) false information on the political stage. In this work, we pay particular attention to political false information as: (1) it can have dire consequences to the community (e.g., when election results are mutated) and (2) previous work shows that this type of false information propagates faster and further when compared to other types of false information. Finally, for each of these lines of work, we report several future research directions that can help us better understand and mitigate the emerging problem of false-information dissemination on the Web.
Predicting Asset Prices with Machine Learning

This study examines whether machine learning techniques such as neural networks contain predictability when modeling asset prices and if they can improve on asset pricing prediction compared to traditional OLS-regressions. This is analyzed through measuring and comparing the out-of-sample R 2 to find each models’ predictive power. Furthermore, we establish the loss metrics of root mean squared error and mean bias error to assess model strength. A sample of Swedish stocks ranging over a 40-year period is considered the dataset. We provide an analysis of various models to find indications of which models perform better from an economic viewpoint. Although we do not test for statistical significance, as forecasting returns infrequently exert this, the economic gains can prove relevant. We find that several neural networks outperform linear OLS regression in terms of out-of-sample R 2 . We believe that this might not be enough information to profitably transact upon as a considerable number of factors such as transaction costs are still unaccounted for. Our conclusion is therefore that further studying is required to fully allow for all factors to be considered.
Waves generated by moving disturbances on the seaﬂoor

Moving disturbances on the seafloor have been used by e.g., Tuck & Hwang (1972) to generate long waves to study tsunami run-up. Bottom moving disturbances can also be used as wave-makers to generate long waves in laboratory e.g., by Jamin et al. (2015). In principle, waves may be generated by a bottom disturbance, moving or oscillating in the vertical or horizontal direction. The bottom disturbance may be a continuous surface or discrete (in the case of a piston located on the seafloor). In this study, waves generated by moving disturbances on the sea floor are studied by use of the Level I Green-Naghdi (GN) equations. Attention is confined to waves generated by continuous bottom surface which is allowed to move in either vertical or horizontal direction. Results are compared with existing laboratory experiments and available numerical data. The model is then used to study waves generated by oscillatory bottom disturbances.
The Effect of Service Quality, Perceived Usefulness of Mobile Banking, and Customer Trust during Pandemic Covid-19 on Customer Loyalty through Customer Satisfaction in the Banking Sector

but is 43 The Abstract The Covid-19 pandemic is not only a global health problem but also has an impact on various sectors of the global economy, including the banking sector. One of the impacts of Covid-19 on the banking sector is a significant decrease in the number of customers. The decline was experienced by Bank BRI Unit Kota Tegal. The problem that occurs in this research is how to increase customer satisfaction and loyalty which will maintain the number of customers and have an impact on increasing the number of customers of Bank BRI Unit Kota Tegal. The variable data used in this study were obtained from two hundred and twenty customers of Bank BRI Unit Kota Tegal who were given questionnaire data containing questions. The data is then forwarded to be processed using the SEM analysis technique and then forwarded using the AMOS analysis tool. The results showed that the influence of the service quality variable on the customer satisfaction variable was 4,368 where this value was greater than 1.96 and also the p value was much smaller than 0.05, and the customer trust variable on the customer satisfaction variable was 3,218 where this value was greater. of 1.96 and also the p-value of 0.001 which is smaller than 0.05, the customer loyalty variable of 3.827 where this value is greater than 1.96, and also the p value is much smaller than 0.05. This means that service quality, customer trust, and customer satisfaction are factors that can maintain and influence the increase in the number of customers of Bank Rakyat Indonesia Tegal City Unit. new government. This to provide services, innovations and breakthroughs to make it easier for customers to transact during the pandemic. perceived usefulness of mobile banking for bank customers in India affects customer satisfaction. Mobile banking helps increase customer productivity by reducing costs and saving time. The results of this study are also supported by research conducted by (Mulia et al., 2020) which shows that the perceived usefulness of mobile banking affects customer satisfaction. Technological advances in the banking world such as the creation of mobile banking will increase customer satisfaction because it helps customers make financial transactions.
Estimation of zero-intelligence models by L1 data

A unit volume zero-intelligence (ZI) model is defined and the distribution of its L1 process is recursively described. Further, a generalized ZI model allowing non-unit market orders, shifts of quotes and general in-spread events is proposed and a formula for the conditional distribution of its quotes is given, together with a formula for price impact. For both the models, MLE estimators are formulated and shown to be consistent and asymptotically normal. Consequently, the estimators are applied to data of six US stocks from nine electronic markets. It is found that more complex variants of the models, despite being significant, do not give considerably better predictions than their simple versions with constant intensities.
COVID-19 induced birth sex ratio changes in England and Wales

Background The sex ratio at birth (male live births divided by total live births) may be a sentinel health indicator. Stressful events reduce this ratio 3-5 months later by increasing male fetal loss. This ratio can also change 9 months after major population events that are linked to an increase or decrease in the frequency of sexual intercourse at the population level, with the ratio either rising or falling respectively after the event. We postulated that stress caused by the COVID-19 pandemic may have affected the ratio in England and Wales. Methods Publicly available, monthly live birth data for England and Wales was obtained from the Office for National Statistics up to December 2020. The sex ratio at birth for 2020 (global COVID-19 onset) was predicted using data from 2012-2019. Observed and predicted values were compared. Results Three months after COVID-19 was declared pandemic (March 2020), there was a significant fall in the sex ratio at birth to 0.5100 in June 2020 which was below the 95% prediction interval of 0.5102-0.5179. Nine months after the pandemic declaration, (December 2020), there was a significant rise to 0.5171 (95% prediction interval 0.5085-0.5162). However, December 2020 had the lowest number of live births of any month from 2012 to 2020. Conclusions Given that June 2020 falls within the crucial window when population stressors are known to affect the sex ratio at birth, these findings imply that the start of the COVID-19 pandemic caused population stress with notable effects on those who were already pregnant by causing a disproportionate loss of male fetuses. The finding of a higher sex ratio at birth in December 2020, i.e., 9 months after COVID-19 was declared a pandemic, suggests that lockdown restrictions initially spurred more sexual activity in a subset of the population in March 2020.