Miracle-dz/UniFAR-FTUs huggingface dataset:
Zeolitic polyoxometalate-based metal-organic frameworks (Z-POMOFs): computational evaluation of hypothetical polymorphs and the successful targeted synthesis of the redox-active Z-POMOF1.

The targeted design and simulation of a new family of zeolitic metal-organic frameworks (MOFs) based on benzenedicarboxylate (BDC) as the ligand and epsilon-type Keggin polyoxometalates (POMs) as building units, named here Z-POMOFs, have been performed. A key feature is the use of the analogy between the connectivity of silicon in dense minerals and zeolites with that of the epsilon-type Keggin POMs capped with Zn(II) ions. Handling the epsilon-Keggin as a building block, a selection of 21 zeotype structures, together with a series of dense minerals were constructed and their relative stabilities computed. Among these Z-POMOFs, the cristobalite-like structure was predicted to be the most stable structure. This prediction has been experimentally validated by the targeted synthesis of the first experimental Z-POMOF structure, which was strikingly found to possess the cristobalite topology, with three interpenetrated networks. Crystals of [NBu(4)](3)[PMo(V)(8)Mo(VI)(4)O(36)(OH)(4)Zn(4)(BDC)(2)]. 2H(2)O (Z-POMOF1) have been isolated under hydrothermal conditions from the reduction of ammonium heptamolybdate in the presence of phosphorous acid and Zn(II) ions. Tetrabutylammonium cations play the role of counterions and space-filling agents in this tridimensional interpenetrated framework. Moreover, the electrochemistry of the epsilon-Keggin POM is maintained and can be exploited in the insoluble Z-POMOF1 framework, as demonstrated by the electrocatalytic reduction of bromate.
Multi-View Super Resolution for Underwater Images Utilizing Atmospheric Light Scattering Model

The underwater environment is complex and the underwater light propagation undergoes absorption, scattering and reflection. This leads to the fact that the underwater light imaging cannot be generalized from land-based. How to use these imaging features to work better with super-resolution tasks for underwater imagery applications is still rarely studied. In this paper, we introduce the medium transmission (MT) maps to advance super-resolution tasks for underwater images. A multi-view network is designed to fuse information from the original underwater images and the MT maps, which provides information on the underlying physical properties of the water, such as the attenuation coefficients in different parts of water. By integrating information from multiple views, the proposed network can capture more of the underlying structure and features of the scene, leading to higher-quality super-resolved images. Besides, a new loss function, namely MT Loss, is developed according to the lack of details in special region of the underwater images. This loss function emphasizes the regions with less influence from the underwater environment during the underwater imaging process and therefore the network outputs a more detailed image. Finally, we compare our algorithm with state-of-the-art methods, and extensive results show that our network achieves better qualitative and quantitative performance.
Can a good tree bring forth evil fruit? The funding of medical research by industry.

BACKGROUND Systematic reviews analysing the influence of funding on the conduct of research have shown how Conflicts of Interest (COIs) create bias in the production and dissemination of data. SOURCES OF DATA The following is a critical analysis of current opinions in respect to COIs created by industry funding of medical research in academic institutions. AREAS OF AGREEMENT Effective mechanisms are necessary to manage COIs in medical research, and to prohibit COIs that clearly affect validity of research conduct and outcomes. AREAS OF CONTROVERSY While most hold that industry investment in university research is not a barrier to good science, there are questions about how securing funding opportunities might be prioritized over the risks of potential COIs. It is argued that COIs are inherent risks to research integrity, requiring the strengthening of current governance frameworks. GROWING POINTS The focus on COIs, created by the ostensibly categorical actions of industry, challenges the evolving research priorities within academic institutions. AREAS TIMELY FOR DEVELOPING RESEARCH Less well-defined COIs are equally culpable to financial ones, in terms of the systemic damage they do to science. So, are they appropriately managed as risks within university research settings?
FirmCVI: Taint Analysis-Based Component Version Identification Method for Large-Scale IoT Firmware

In recent years, numerous attacks on IoT device firmware caused by component vulnerabilities have occurred, they has attracted a great deal of attention from security researchers. Thus, identifying the component and version information in IoT device firmware is of great significance for conducting large-scale IoT device firmware vulnerability correlation analysis, security risk assessment and emergency response of the IoT. Existing methods may not dig deeper into the features of version information, resulting in missing recognition information, leading to insufficient recognition accuracy. Alternatively, existing methods rely on features such as CFG, which makes it difficult to accurately match components between different versions, leading to recognition errors. For these reasons, in this paper, we propose a taint analysis-based version identification method for IoT firmware components. Firstly, we use the feature information extracted from the binary file as the source point for taint analysis, then we perform reverse flow analysis based on the data flow of function calls, and then we find the memory address of the version information as the sink to identify the version information of the component. To evaluate our approach, we collected 312,330 firmware components from 10161 real firmware from 11 different vendors covering various architectures such as MIPS, ARM, X86, and PowerPC and various operating systems such as Linux and FreeBSD (32/64 bit). The experiments demonstrate that the FirmCVI does not require manually building a large-scale database, and achieves an average identification accuracy of up to 96.07% for IoT device firmware component versions, false positives within 5%. And the average time taken to identify component versions is about 0.19 seconds, which is 10 times more efficient than existing version identification tools. It provides powerful data and technical support for IOT device firmware vulnerability correlation analysis.
A Self-Iteration Code Generation Method Based on Large Language Models

Although large language models (LLMs) have demonstrated impressive performance in code generation, they still face challenges when dealing with complex code generation tasks. In the software development process, humans often refine complex tasks iteratively and continuously modify and improve them. Inspired by this, we propose a self-iteration code generation framework based on large language models like ChatGPT. To realize this idea, we incorporated software development methodologies into the self-iteration framework. We introduced four roles into each cycle, including analyst, designer, developer, and tester. Each role performs different tasks during the self-iteration cycle, with analyst and designer continuously improving requirements analysis and task design based on the testing feedback provided by tester, while developer are responsible for refactoring or modifying code until it passes testing, concluding the entire self-iteration process. We conducted extensive experiments on multiple benchmarks. The experimental results indicate: (1) The code generated by the self-iteration framework achieves up to a 21.3% relative improvement in Pass@1 compared to direct code generation. (2) The self-iteration framework also exhibits strong generalization performance, enhancing code generation quality for different large language models. "Failure is simply the opportunity to begin again, this time more intelligently. "- Henry Ford
Management of Stored Energy in Acoustic Wave Ladder Filters to Improve Yield

The design of acoustic wave ladder is strongly limited by the resonator material properties. That is why transmission zeros, return loss and cut-off frequency are usually controlled independently by adjusting the resonant frequencies of the resonators to meet specifications. However, when a solution has to be mass-produced, the sensitivity of the structure must also be taken into account so that the economical cost is feasible. Consequently, time-consuming post-optimizations are used through very slow statistical analysis to increase yield, leaving aside equiripple solution. This article improves the sensitivity of acoustic wave ladder synthesis so that it can be mass produced efficiently, considering the relationship between stored energy and sensitivity to obtain faster and better results in terms of yield with Generalized Chebyshev functions and even more so with Non-Equiripple functions.
The dynamical state of A548 from XMM-Newton data: X-ray and radio connection

Context. We present a detailed study of the X-ray properties of the galaxy cluster Abell 548b (z = 0.04), using XMM-Newton data, and discuss the connection between the thermal properties and the presence of two extended relic radio sources located at the cluster periphery. Aims. We wish to analyze the dynamical state of the cluster and confirm the presence of a major merger. We will discuss the merger effects on the extended nonthermal emission. Methods. We analyzed the X-ray brightness distribution, the surface brightness profiles in different directions, and the spectral properties in several cluster regions. Moreover, to better understand the dynamical history of this cluster, we performed an optical analysis of the cluster galaxies. Results. From the analysis of the temperature distribution and of the surface brightness profiles, we find evidence of a shock in the northern cluster region, just before the location of the two extended peripheral relics. From the optical analysis, we find that the cluster galaxies show a large σV , and two components are needed to fit their velocity distribution. Observational results were compared with a cluster simulation. The maps of gas temperature and density distribution from the simulation agree with the observational data in the case of a cluster merger nearly perpendicular to the plane of the sky and in the state after the maximum core collapse. Conclusions. We conclude that we are observing a galaxy cluster in a major merger phase, just after the maximum core collapse. The mass ratio is about 1:2, and the merger collision is nearly perpendicular to the plane of the sky. A shock is present in the northern cluster region, and it is very likely responsible for the electron reacceleration and the magnetic field amplification that will give cause the cluster relics. The relative position of the shock and the relics is strongly affected by projection effects.
Genomic Selection in Wheat Breeding using Genotyping‐by‐Sequencing

Genomic selection (GS) uses genomewide molecular markers to predict breeding values and make selections of individuals or breeding lines prior to phenotyping. Here we show that genotyping‐by‐sequencing (GBS) can be used for de novo genotyping of breeding panels and to develop accurate GS models, even for the large, complex, and polyploid wheat (Triticum aestivum L.) genome. With GBS we discovered 41,371 single nucleotide polymorphisms (SNPs) in a set of 254 advanced breeding lines from CIMMYT's semiarid wheat breeding program. Four different methods were evaluated for imputing missing marker scores in this set of unmapped markers, including random forest regression and a newly developed multivariate‐normal expectation‐maximization algorithm, which gave more accurate imputation than heterozygous or mean imputation at the marker level, although no significant differences were observed in the accuracy of genomic‐estimated breeding values (GEBVs) among imputation methods. Genomic‐estimated breeding value prediction accuracies with GBS were 0.28 to 0.45 for grain yield, an improvement of 0.1 to 0.2 over an established marker platform for wheat. Genotyping‐by‐sequencing combines marker discovery and genotyping of large populations, making it an excellent marker platform for breeding applications even in the absence of a reference genome sequence or previous polymorphism discovery. In addition, the flexibility and low cost of GBS make this an ideal approach for genomics‐assisted breeding.
The effect of anxiety on linguistic parameters of public speech: A verbal impairment model

This study presents a new research paradigm designed to explore the effect of anxiety on semantic information processing. It is based on the premise that the demonstrated effect of anxiety on cognitive performance and apparent inconsistencies reported in the literature might be better understood in terms of linguistic properties of inner speech which underlies analytic (vs. intuitive) thought processes. The study employed several parameters of functional linguistics in order to analyse properties of public speech by high- and low-anxious individuals. Results indicate that anxiety is associated with greater use of associative clauses that take the speaker further away from the original starting point before coming back and concluding (identified as reduced semantic efficiency). This is accompanied by a speech pattern that includes greater amounts of factual information unaccompanied by elaborate argumentation. While these results are considered tentative due to methodological and empirical shortcomings, they suggest the viability of this approach.
Modified LMS/F Algorithm for Power Quality Improvement in Grid Connected PV system

This paper presents the execution analysis of threephase grid connected solar photovoltaic (SPV) using an improved LMS technique. The proposed work is based a ${L_p}$ norm using Sparse Least mean square/fourth (LMS/F) control algorithm for the switching action of voltage source inverter (VSI) in synchronization with grid connected solar PV system. The efficiency of the system is shown in terms of harmonic reduction. Results also show a seamless transition during unbalancing conditions of the system operation. Simulation of the proposed model is efficiently carried on MATLAB/Simulink.
Image-gradient-guided real-time stereo on graphics hardware

We present a real-time correlation-based stereo algorithm with improved accuracy. Encouraged by the success of recent stereo algorithms that aggregate the matching cost based on color segmentation, a novel image-gradient-guided cost aggregation scheme is presented in this paper. The new scheme is designed to fit the architecture of recent graphics processing units (GPUs). As a result, our stereo algorithm can run completely on the graphics board: from rectification, matching cost computation, cost aggregation, to the final disparity selection. Compared with many real-time stereo algorithms that use fixed windows, noticeable accuracy improvement has been obtained without sacrificing realtime performance. In addition, existing global optimization algorithms can also benefit from the new cost aggregation scheme. The effectiveness of our approach is demonstrated with several widely used stereo datasets and live data captured from a stereo camera.
Performance Measurement and Metric Manipulation in the Public Sector

This paper explores the circumstances that influence whether managers in the public services manipulate the measurement information that is used to assess performance; and if they do, what level of deception they might use. The realistic evaluation approach is adopted. A Delphi survey and the collection of critical incidents through interviews are used to identify possible configurations of contextsmechanismsoutcomes that provide possible explanations of information manipulation. A number of these configurations are discussed. In a later stage of the project these configurations will be further tested through another Delphi survey, with the intention of developing proposals for improved governance of performance measurement systems in the public services.
Characteristics of Foster Care History as Risk Factors for Psychiatric Disorders Among Youth in Care

This study evaluates foster care history characteristics as risk factors for psychopathology. We examine characteristics of youths’ foster care histories separately and as a gestalt (i.e., identification of latent classes). Six mental health disorders and lifetime suicide attempt were assessed via in-person interviews with a representative sample of older adolescents in California foster care (n = 706). Information on respondents’ foster care histories were obtained from state administrative data. Half of the sample (47.3%) screened positive for a psychiatric disorder and 1/4 (25.2%) had attempted suicide. When assessed individually, placement instability predicted posttraumatic stress disorder (PTSD), alcohol and substance use problems, and suicide attempt. Primary placement type and maltreatment type were also associated with 1 or more psychiatric disorders. When foster care characteristics were considered in concert, 6 latent classes were identified: veterans, returners, treated stayers, midrangers, late stayers, and disquieted drifters. Three latent classes (returners, late stayers, and disquieted drifters) were at increased risk of psychiatric problems relative to 1 or more of the other latent classes. Both separate foster care characteristics and the gestalt of youths’ foster care histories identified risks of psychiatric problems. Results from these analyses can inform the development of risk assessment tools.
God image and Five-Factor Model personality characteristics in later life: A study among inhabitants of Sassenheim in The Netherlands

Affective or emotional aspects of religiousness are considered to be crucial in the association between religiousness and well-being, especially in later life. Such affective aspects can be understood as pertaining to the God–object relationship, corresponding to feelings of trust towards God or to religious discontent. Personality characteristics, such as those defined by the Five-Factor Model of Personality, are expected to correspond with God image. A small sample of older mainline church members in Sassenheim, The Netherlands (n = 53), aged 68–93, filled out a questionnaire, including 120 items of the NEO-PI-R, the Questionnaire God Image, frequency of prayer, church attendance, and depressive symptoms. Neuroticism was associated with feelings of anxiety towards God as well as discontent towards God. Agreeableness was associated with perceiving God as supportive and with prayer. These findings persisted after adjustment for depressive symptoms. For the other three personality factors, no clear patterns emerged. Results were compared with those from studies of God image and the Five-Factor Model of personality among younger people.
Read My Lips

It is well known that the right side of the mouth moves more than the left during speech, but little is known about how this asymmetry affects lipreading. We investigated asymmetries in the visual expression and perception of speech using the McGurk effect—an illusion in which incongruent lip movements cause listeners to misreport sounds. Thirty right-handed participants watched film clips in which the left, the right, or neither side of the mouth was covered. The McGurk effect was attenuated when the right side of the mouth was covered, demonstrating that this side is more important to lipreading than is the left side of the mouth. Mirror-reversed images tested whether the asymmetry was the result of an observer bias toward the left hemispace. The McGurk effect was stronger in the normal than in the mirror orientation when the mouth was fully visible. Thus, observers attend more to what they think is the right side of the speaker's mouth. Asymmetries in mouth movements may reflect the gestural origins of language, which are also right lateralized.
Family sex communication orientation

The United States leads all industrialized countries in unintended teenage pregnancies, teenage births, teenage abortions. Despite the seriousness of this problem, family communication researchers so far, for all practical purposes, have excluded it from the discipline's research agenda. Our study was designed to consolidate and examine a measure of children's attitudes toward family sex communication on the dimensions of comfort, information, and value — the Family Sex Communication Quotient scale (FSCQ) — and to test this orientation against other potential mediators of sex discussion in the family. Our tentative findings suggest: (1) family sex communication in general is infrequent and ineffective, (2) frequent and effective family sex communication may serve as a contextual model for children's communication patterns, (3) a strong family sex communication orientation, particularly as measured by the FSCQ which tested out to be a reliable measure and a significant and consistent mediator, seems to fac.
A Cutting-Edge Implementation of IoT-Based Monitoring for Floating Solar Cells with Dual-Axis Tracker

Solar power has emerged as a significant and vital renewable energy sector, finding diverse applications such as in commercial settings, solar heaters, and solar pumps. Its adoption has contributed to mitigating the shortage of integrated grid electricity. However, the key challenge remains in optimizing energy extraction from solar sources. A promising solution lies in the utilization of Dual Axis tracker-based solar panels, which facilitate efficient solar energy utilization. Presently, conventional solar power plants necessitate vast land areas and exhibit certain limitations. Considering the context of overpopulated countries like Bangladesh, floating solar power plants offer a more viable alternative to land-based counterparts. This paper delves into the investigation and implementation of Floating Solar Cells (FPV) equipped with dual-axis tracker technology to maximize solar energy capture. The dual-axis tracking capability allows for precise sun tracking, resulting in a significantly higher energy yield. To analyze the photovoltaic (PV) and current-voltage (IV) curves, a MATLAB Simulink model is employed, while meteorological data is collected using Homer Software. The research focuses on the implementation of the project at the Teesta Barrage in Lalmonir Hat Zila. Additionally, an Internet of Things (IoT) integration enables remote plant monitoring and real-time data acquisition. Our investigation concludes that dual-axis trackers represent the optimal solution for maximizing energy harvesting from available resources, and the adoption of Floating Solar Power Plants stands as an efficient means of sustainable energy generation, particularly in densely populated nations like Bangladesh.
Proceedings of Olkc 2007 – " Learning Fusion " Reconciling Learning Paradoxes through Improvisation

We present a systematic review of the literature that led to the identification of two categories of learning paradoxes: the " novelty-continuity " paradox and the " transfer-imitation " paradox. In the former, the dilemma faced by managers is: How to take advantage of existing capabilities and routines, while embracing the need to continually innovate? In the latter, the dilemma is: How to transfer learning within the firm, while impeding imitation from competitors? We describe the nature of the tradeoffs, the dysfunctional dynamics associated with an emphasis on extremes, and ways in which past research has proposed to balance the tensions. Furthermore, we acknowledge that the two paradoxes are connected in day-today life in organizations and propose the process of improvisation as a mechanism to transcend learning paradoxes in real time. In particular, we describe how in improvisation, the combination of minimal constraints, experimental culture, information resources, and teamwork skills allow the interaction of novelty, continuity, and tacit and explicit knowledge.