Miracle-dz/UniFAR-FTUs huggingface dataset:
Competition Analysis to Improve the Performance of Movie Box-Office Prediction

Although many studies tried to predict movie revenues in the last decade, the main focus is still to learn an efficient forecast model to fit the box-office revenues. However, the previous works lack the analysis about why the prediction errors occur, and no method is proposed to reduce the errors. In this paper, we consider the prediction error comes from the competition between the movies that are released in the same period. Our purpose is to analyze the competition value for a movie and to predict how much it will be affected by other competitors so as to improve the performance of movie box-office prediction. In order to predict the competition value, firstly, we classify its sign (positive/negative) and compute the probability of positive sign and the probability of negative sign. Secondly, we forecast the competition value by regression under the condition that its sign is positive and negative respectively. And finally, we calculate the expectation of competition value based on the probabilities and values. With the predicted competition, we can adjust the primal predicted box-office. Our experimental results show that predictive competition can help improve the performance of the forecast.
Bioluminescence Color-Tuning Firefly Luciferases: Engineering and Prospects for Real-Time Intracellular pH Imaging and Heavy Metal Biosensing

Firefly luciferases catalyze the efficient production of yellow-green light under normal physiological conditions, having been extensively used for bioanalytical purposes for over 5 decades. Under acidic conditions, high temperatures and the presence of heavy metals, they produce red light, a property that is called pH-sensitivity or pH-dependency. Despite the demand for physiological intracellular biosensors for pH and heavy metals, firefly luciferase pH and metal sensitivities were considered drawbacks in analytical assays. We first demonstrated that firefly luciferases and their pH and metal sensitivities can be harnessed to estimate intracellular pH variations and toxic metal concentrations through ratiometric analysis. Using Macrolampis sp2 firefly luciferase, the intracellular pH could be ratiometrically estimated in bacteria and then in mammalian cells. The luciferases of Macrolampis sp2 and Cratomorphus distinctus fireflies were also harnessed to ratiometrically estimate zinc, mercury and other toxic metal concentrations in the micromolar range. The temperature was also ratiometrically estimated using firefly luciferases. The identification and engineering of metal-binding sites have allowed the development of novel luciferases that are more specific to certain metals. The luciferase of the Amydetes viviani firefly was selected for its special sensitivity to cadmium and mercury, and for its stability at higher temperatures. These color-tuning luciferases can potentially be used with smartphones for hands-on field analysis of water contamination and biochemistry teaching assays. Thus, firefly luciferases are novel color-tuning sensors for intracellular pH and toxic metals. Furthermore, a single luciferase gene is potentially useful as a dual bioluminescent reporter to simultaneously report intracellular ATP and/or luciferase concentrations luminometrically, and pH or metal concentrations ratiometrically, providing a useful tool for real-time imaging of intracellular dynamics and stress.
Integrated Bioinformatics Analysis of Gene Expression Pro�les for Potential Biomarker Identi�cation Towards Early Therapeutic Intervention in Pancreatitis and Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is a malignancy associated with rapid progression and an abysmal prognosis. It has been reported that chronic pancreatitis can increase the risk of developing PDAC by 16-fold. Our study aims to identify the key genes and biochemical pathways mediating pancreatitis and PDAC. The gene expression datasets were retrieved from the EMBL-EBI ArrayExpress and NCBI GEO database. A total of 172 samples of normal pancreatic tissue, 68 samples of pancreatitis, and 306 samples of PDAC were used in this study. The differentially expressed genes (DEGs) identi�ed were used to perform downstream analysis for ontology, interaction, and associated pathways. Furthermore, hub gene expression was validated using the GEPIA2 tool and survival analysis using the Kaplan-Meier (KM) plotter. The potential druggability of the hub genes identi�ed was determined using the Drug-Gene Interaction Database (DGIdb). Our study identi�ed a total of 45 genes found to have altered expression levels in both PDAC and pancreatitis. Over-representation analysis revealed that protein digestion and absorption pathway, ECM-receptor interaction pathway, PI3k-Akt signaling pathway, and proteoglycans in cancer pathways as signi�cantly enriched. Module analysis revealed 15 hub genes with 92 edges, of which 14 were found to be in the druggable genome category. Through bioinformatics analysis, we identi�ed key genes and biochemical pathways disrupted in pancreatitis and PDAC. The results can provide new insights into targeted therapy and intervening therapeutically at an earlier stage can be used as an effective strategy to decrease the incidence and severity of PDAC.
mothers and their facial expressions, voice and physical contacts

Background. Social and emotional development of infants and young children is largely based on the communicative interaction their The main modalities implied in this early communication are voice, facial expressions and gaze (Stern 1993). This study aims at analysing early mother-child interactions in the case of blind mothers, who do not have access to their children’s gaze and facial expressions. Methods. Spontaneous play interactions between seven blind mothers and their sighted children aged between 6 months and 3 years were filmed. These dyads were compared to a control group of sighted mothers and children analysing four modalities of communication and interaction regulation: gaze, physical contacts, verbal productions, facial expressions. Results. The blind mothers’ facial expressions differed from the ones of sighted mothers mainly with respect of forehead movements, leading to an impoverishment of conveyed meaning. Results regarding the other communicative modalities, suggest that blind mothers and their children use compensatory strategies to guaranty harmonic interaction despite the mother’s handicap: whereas gaze results the main factor of interaction regulation in sighted dyads, physical contacts and verbal productions assume a prevalent role in dyads with blind mothers. Moreover, blind mother’s children seem to be able to differentiate between their blind mother and sighted interaction partners, adapting differential modes of communication. Conclusions. The results of this study appear to be encouraging for blind women who are, or desire to become mother, inasmuch as they show that, in spite of the obvious differences in the modes of communication, blindness does not prevent a harmonious interaction with the child.
This paper is included in the Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation.

Modern cluster managers like Borg, Omega and Kubernetes rely on the state-reconciliation principle to be highly resilient and extensible. In these systems, all cluster-management logic is embedded in a loosely coupled collection of microservices called controllers . Each controller independently observes the current cluster state and issues corrective actions to converge the cluster to a desired state. However, the complex distributed nature of the overall system makes it hard to build reliable and correct controllers – we ﬁnd that controllers face myriad reliability issues that lead to severe consequences like data loss, security vulnerabilities, and resource leaks. We present Sieve, the ﬁrst automatic reliability-testing tool for cluster-management controllers. Sieve drives controllers to their potentially buggy corners by systematically and extensively perturbing the controller’s view of the current cluster state in ways it is expected to tolerate. It then compares the cluster state’s evolution with and without perturbations to detect safety and liveness issues. Sieve’s design is powered by a fundamental opportunity in state-reconciliation systems – these systems are based on state-centric interfaces between the controllers and the cluster state; such interfaces are highly transparent and thereby enable fully-automated reliability testing. To date, Sieve has efﬁciently found 46 serious safety and liveness bugs (35 conﬁrmed and 22 ﬁxed) in ten popular controllers with a low false-positive rate of 3.5%.
Effects of Meteorology Changes on Inter-Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China - Implications for PM2.5 Remote Sensing

PM2.5 retrieval from satellite-observed aerosol optical depth (AOD) is still challenging due to the strong impact of meteorology. We investigate influences of meteorology changes on the inter-annual variations of AOD and surface PM2.5 in China between 2006 and 2017 using a nested 3D chemical transport model, GEOS-Chem, by fixing emissions at the 2006 level. We then identify major meteorological elements controlling the inter-annual variations of AOD and surface PM2.5 using multiple linear regression. We find larger influences of meteorology changes on trends of AOD than that of surface PM2.5. On the seasonal scale, meteorology changes are beneficial to AOD and surface PM2.5 reduction in spring (1–50%) but show an adverse effect on aerosol reduction in summer. In addition, major meteorological elements influencing variations of AOD and PM2.5 are similar between spring and fall. In winter, meteorology changes are favorable to AOD reduction (−0.007 yr−1, −1.2% yr−1; p < 0.05) but enhanced surface PM2.5 between 2006 and 2017. The difference in winter is mainly attributed to the stable boundary layer that isolates surface PM2.5 from aloft. The significant decrease in AOD over the years is related to the increase in meridional wind speed at 850 hPa in NCP (p < 0.05). The increase of surface PM2.5 in NCP in winter is possibly related to the increased temperature inversion and more stable stratification in the boundary layer. This suggests that previous estimates of wintertime surface PM2.5 using satellite measurements of AOD corrected by meteorological elements should be used with caution. Our findings provide potential meteorological elements that might improve the retrieval of surface PM2.5 from satellite-observed AOD on the seasonal scale.
PRBM_A_363433 1451..1463

1School of Public Administrations, Hechi University, Hechi, Guangxi, 546300, People’s Republic of China; 2National Child Development Research Centre, Sultan Idris Education University, Tanjong Malim Perak, 35900, Malaysia; 3Department of Psychology and Counseling, Faculty of Human Development, Sultan Idris Education University, Tanjong Malim Perak, 35900, Malaysia; 4College of Humanities & Social Sciences, Huazhong Agricultural University, Wuhan, Hubei, 430070, People’s Republic of China
Interannual-to-Decadal Variability in the Bifurcation of the North Equatorial Current off the Philippines

Satellite altimeter sea surface height (SSH) data from the past 17 yr are used to investigate the interannualto-decadal changes in the bifurcation of the North Equatorial Current (NEC) along the Philippine coast. The NEC bifurcation latitude migrated quasi decadally between 108 and 158N with northerly bifurcations observed in late 1992, 1997–98, and 2003–04 and southerly bifurcations in 1999–2000 and 2008–09. The observed NEC bifurcation latitude can be approximated well by the SSH anomalies in the 128–148N and 1278–1308E box east of the mean NEC bifurcation point. Using a 1 1⁄2-layer reduced-gravity model forced by the ECMWF reanalysis wind stress data, the authors find that the SSH anomalies in this box can be simulated favorably to serve as a proxy for the observed NEC bifurcation. With the availability of the long-term reanalysis wind stress data, this helps to lengthen the NEC bifurcation time series back to 1962. Although quasi-decadal variability was prominent in the last two decades, the NEC bifurcation was dominated by changes with a 3–5-yr period during the 1980s and had low variance prior to the 1970s. These interdecadal modulations in the characteristics of the NEC bifurcation reflect similar interdecadal modulations in the wind forcing field over the western tropical North Pacific Ocean. Although the NEC bifurcation on interannual and longer time scales is generally related to the Niño-3.4 index with a positive (negative) index corresponding to a northerly (southerly) bifurcation, the exact location of bifurcation is determined by wind forcing in the 128–148N band that contains variability not fully representable by the Niño-3.4 index.
Non-exponential tunneling ionization probability distribution as a function of different laser beam profiles

In this paper, we discussed the probability distribution of exponential and non-exponential tunneling ionization of atoms, taking into account that the tunneling is not instantaneous, but requires a very short time interval. Also, it was investigated how different laser beam profiles affect the probability distribution. These physical situations are analyzed for the valence electron of potassium atom exposed to a strong laser field in a wide range of intensities (1012 -1015 W/cm2). We use ADK theory formalism to compute probability distributions. The results demonstrate that the probability distribution in the non-exponential mode has a significantly lower value than in the exponential mode, calculated under the same conditions. We showed that various laser beam profiles on these probability distributions produce different tunneling time intervals.
Sliding mode control for multi‐agent systems under stochastic communication protocol

This article investigates the consensus problem for the multi‐agent system (MAS) via a sliding mode control method. The stochastic communication protocol (SCP) obeying Markovian chain is adopted to schedule the information transmission among agents, by which only one state component of each agent is stochastically selected and transmitted to other agents at each transmission instant. Through the use of the merging technique, a joint Markovian chain is introduced to model the multi‐agent consensus error system. And then, a distributed sliding mode controller is designed to achieve the stochastic consensus of the MAS. Meanwhile, the desired controller gain matrix is obtained via solving a minimization problem. Finally, a numerical example has been provided to illustrate the proposed results.
The synergy of fiber surface treatment and nanoclay on the static mechanical and tribological behaviors of Palmyra fruit fiber/Montmorillonite nanoclay reinforced polyester hybrid composites

This research paper aims to present the combined effect of fiber surface chemical treatments and Montmorillonite nanoclay addition on the mechanical and tribological properties of Palmyra fruit fiber reinforced polyester composites. The polyester composite specimens are made of untreated and chemically surface treated Palmyra fruit fiber as primary reinforcement and Montmorillonite nanoclay as secondary reinforcement. The mechanical properties such as tensile, flexural, and impact behaviors and tribological properties such as specific wear rate and coefficient of friction are evaluated. The results are compared with specimens made without Montmorillonite nanoclay. The worn surface morphologies of the wear-tested samples are analyzed through scanning electron microscopic images to study the various wear mechanisms that persisted.
A new extraction flow of the small‐signal switch‐HEMT model based on the parasitic resistance scanning algorithm

Recent research interest in switch High Electron Mobility Transistor (HEMT) modeling revealed the special modeling requirement that is a parasitic capacitance shell surrounding the equivalent circuit. Despite the robust determination of parasitic capacitances, one still may face several problems when extracting a small‐signal switch‐HEMT model. Practical switch‐HEMT test structures include different configurations of gate network with additional microstrip lines, large‐value resistors, and via‐holes. Ignoring parts of these networks results in unfavorable errors when comparing measured and simulated results. Another problem may arise when extracting the switch‐HEMT equivalent circuit parameters from the measured S‐parameters of the grounded gate test structures: obtained parasitic resistances can be exaggerated, resulting in negative values of intrinsic channel resistance (conductance). This paper presents a new switch‐HEMT extraction flow intended to address the mentioned challenges. To eliminate an excessive gate inductance attributed to via‐hole, we introduce a concept of the gate network de‐embedding. A negative channel resistance (conductance) problem is handled by applying a new parasitic resistance scanning algorithm that allows finding the model parameter vector with reasonable positive values in the vicinity of the S‐parameters modeling error minimum. Accurate S‐parameters modeling results verify the proposed extraction flow. Obtained small‐signal switch‐HEMT models are validated by designing and manufacturing a 2 dB digital step attenuator section.
Approach in Managing Conflict in A Long Distance Marriage

Harmony in the household is essential for the well-being of a family institution. Despite this, conflicts are natural occurrences but can negatively influence the family, particularly in households where long-distance marriage is practised. The purpose of this article is to discuss the causes of marital conflict in long-distance marriages and strategies for dealing with it. This qualitative study of five wives and five husbands who practise long-distance marriage were collected using an online questionnaire and purposive sampling. The study revealed that disputes in the households of couples who practise long-distance marriage emerge from a variety of external and internal factors. Internal factors that cause conflict include stress, a lack of communication, limited affection, minimal support, and a lack of trust. While external factors include an intruding third party and financial concerns. Long-distance marriage conflicts can be handled using one's role, middlemen, and authority. Spirituality, encounters, communication, and support systems have been identified as four significant themes in conflict management approaches as shared by the informants. The findings provide benefits in reducing conflicts that occur in the household so that the collapse of the family institution can be avoided by understanding and exercising appropriate conflict management
Effectiveness of a physically active learning program on indicators of physical activity, well-being and academic performance in students

The aim was to analyse the effects of a programme made of physically active lessons on primary education students' level of school physical activity, physical fitness, school life satisfaction and academic performance. A quasiexperimental methodology was applied and 50 fifth-year primary education students (Mage = 10.62; SD = 0.57) participated. The experimental group (n = 25) enrolled in a physically active learning programme within the bilingual Science subject for eight weeks. One physically active lesson was included per week, in addition to the two Physical Education sessions. The results revealed that the physically active learning programme generated a significant increase in students' physical activity during school time (p < .05), several physical fitness variables, the student-teacher relationship, the interest in the subject and perceived health. These findings evidenced the importance of including physically active lessons during school hours, in order to improve the low physical activity levels currently shown by primary school students.
A Fundamental Investigation of Decarburization Reactions in the Argon–Oxygen Decarburization Converter Using Coupled Computational Fluid Dynamics and Thermodynamics Databases

Metallurgical converters such as the argon–oxygen decarburization (AOD) converter generally utilize gas blowing for the mixing and refinement of liquid steel. Due to the harsh environment of the complex and opaque system, it is common practice to study the stirring of the process through physical and numerical models. Effective mixing in the bath has an important role in refinement such as decarburization and has been vividly studied before. However, high‐temperature chemical reactions that also play a major role are sparsely investigated. With the help of modeling, a computational fluid dynamics model coupled with chemical reactions is developed, allowing the study of both dynamic fluid transport and chemical reactions. Herein, the chemical reactions for a single gas bubble in the AOD are investigated. The study shows that a 60 mm oxygen gas bubble rapidly reacts with the melt and is saturated with carbon in 0.2–0.25 s at low‐pressure levels. The saturation time is affected by the pressure and the composition of the injected gas bubble. The impact of ferrostatic pressure on the reactions is more significant at larger depth differences.
The Association of Death Anxiety, Loneliness, and Hopelessness with Clinical Features and Qualityof Life in Palliative Radiotherapy Patients

OBJECTIVE The incidence of adjustment disorder, anxiety, and depression in cancer patients is 40–50%. These disorders may lead to an impairment in quality of life (QoL). Radiotherapy is an essential part of palliative care that relieves symptoms in advanced cancer patients. The cancer patients may have the opportunity to be evaluated regarding psychosocial morbidity in radiation oncology departments (RODs).
Optimal group consensus control for the second‐order agents in the coopetition networks via adaptive dynamic programming and event‐triggered methods

This article investigates the optimal group consensus control problem for the second‐order multi‐agent systems by using event‐triggered and adaptive dynamic programming methods. The proposed method only uses the interaction information among the agents. Comprehensively considering the coopetition coupling interactions among the agents, a novel tracking error function is addressed for meeting the requirement of group consensus. On this basis, we use the Bellman optimality principle to formulate the optimal group consensus problem. To implement the proposed method, the actor–critic neural networks are used to approximate the iterative performance index functions and the control policies in real time. Meanwhile, the event‐triggered condition with filter function is installed for each agent to reduce the control cost. Therefore, the weights of actor–critic networks are updated only at the event‐triggered instants. The weight estimation errors and the control policy estimation errors are proved uniformly ultimately bounded and the Zeno behavior in the system can be avoided. Finally, the comparative simulation results show that the proposed method can greatly reduce the update times of the control policy of the system.