Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation

In this paper, we propose a new setting for generating product descriptions from images, augmented by marketing keywords. It leverages the combined power of visual and textual information to create descriptions that are more tailored to the unique features of products. For this setting, previous methods utilize visual and textual encoders to encode the image and keywords and employ a language model-based decoder to generate the product description. However, the generated description is often inaccurate and generic since same-category products have similar copy-writings, and optimizing the overall framework on large-scale samples makes models concentrate on common words yet ignore the product features. To alleviate the issue, we present a simple and effective Multimodal In-Context Tuning approach, named ModICT, which introduces a similar product sample as the reference and utilizes the in-context learning capability of language models to produce the description. During training, we keep the visual encoder and language model frozen, focusing on optimizing the modules responsible for creating multimodal in-context references and dynamic prompts. This approach preserves the language generation prowess of large language models (LLMs), facilitating a substantial increase in description diversity. To assess the effectiveness of ModICT across various language model scales and types, we collect data from three distinct product categories within the E-commerce domain. Extensive experiments demonstrate that ModICT significantly improves the accuracy (by up to 3.3% on Rouge-L) and diversity (by up to 9.4% on D-5) of generated results compared to conventional methods. Our findings underscore the potential of ModICT as a valuable tool for enhancing automatic generation of product descriptions in a wide range of applications. Code is at: https://github.com/HITsz-TMG/Multimodal-In-Context-Tuning
Comparison of ambient aerosol extinction coefficients obtained from in-situ, MAX-DOAS and LIDAR measurements at Cabauw

In the field, aerosol in-situ measurements are often performed under dry conditions (relative humidity RH<30-40%). Since ambient aerosol particles experience hygroscopic growth at enhanced RH, their microphysical and optical properties especially the aerosol light scattering are also strongly dependent on RH. The knowledge of this RH effect is of crucial importance for climate forcing calculations or for the comparison of remote sensing with in-situ measurements. Here, we will present results from a four-month campaign which took place in summer 2009 in Cabauw, The Netherlands. The aerosol scattering coefficient σsp(λ) was measured dry and at various, predefined RH conditions between 20 and 95% with a humidified nephelometer. The scattering enhancement factor f(RH,I") is the key parameter to describe the effect of RH on σsp(λ) and is defined as σsp(RH,I") measured at a certain RH divided by the dry σsp(dry,I"). The measurement of f(RH,I") together with the dry absorption measurement (assumed not to change with RH) allows the determination of the actual extinction coefficient σep(RH,I") at ambient RH. In addition, a wide range of other aerosol properties were measured in parallel. The measurements were used to characterize the effects of RH on the aerosol optical properties. A closure study showed the consistency of the aerosol in-situ measurements. Due to the large variability of air mass origin (and thus aerosol composition) a simple parameterization of (RH,? ) could not be established. If (RH,? ) needs to be predicted, the chemical composition and size distribution need to be known. Measurements of four MAX-DOAS (multi-axis differential optical absorption spectroscopy) instruments were used to retrieve vertical profiles of σep("). The values of the lowest layer were compared to the in-situ values after conversion of the latter ones to ambient RH. The comparison showed a good correlation of R<2 Combining double low line 0.62-0.78, but the extinction coefficients from MAX-DOAS were a factor of 1.5-3.4 larger than the in-situ values. Best agreement is achieved for a few cases characterized by low aerosol optical depths and low planetary boundary layer heights. Differences were shown to be dependent on the applied MAX-DOAS retrieval algorithm. The comparison of the in-situ extinction data to a Raman LIDAR (light detection and ranging) showed a good correlation and higher values measured by the LIDAR (R2 Combining double low line 0.82−0.85, slope of 1.69-1.76) if the Raman retrieved profile was used to extrapolate the directly measured extinction coefficient to the ground. The comparison improved if only nighttime measurements were used in the comparison (R2 Combining double low line 0.96, slope of 1.12). © 2011 Author(s).
Structures and functions of insect arylalkylamine N-acetyltransferase (iaaNAT); a key enzyme for physiological and behavioral switch in arthropods

The evolution of N-acetyltransfeases (NATs) seems complex. Vertebrate arylalkylamine N-acetyltransferase (aaNAT) has been extensively studied since it leads to the synthesis of melatonin, a multifunctional neurohormone prevalent in photoreceptor cells, and is known as a chemical token of the night. Melatonin also serves as a scavenger for reactive oxygen species. This is also true with invertebrates. NAT therefore has distinct functional implications in circadian function, as timezymes (aaNAT), and also xenobiotic reactions (arylamine NAT or simply NAT). NATs belong to a broader enzyme group, the GCN5-related N-acetyltransferase superfamily. Due to low sequence homology and a seemingly fast rate of structural differentiation, the nomenclature for NATs can be confusing. The advent of bioinformatics, however, has helped to classify this group of enzymes; vertebrates have two distinct subgroups, the timezyme type and the xenobiotic type, which has a wider substrate range including imidazolamine, pharmacological drugs, environmental toxicants and even histone. Insect aaNAT (iaaNAT) form their own clade in the phylogeny, distinct from vertebrate aaNATs. Arthropods are unique, since the phylum has exoskeleton in which quinones derived from N-acetylated monoamines function in coupling chitin and arthropodins. Monoamine oxidase (MAO) activity is limited in insects, but NAT-mediated degradation prevails. However, unexpectedly iaaNAT occurs not only among arthropods but also among basal deuterostomia, and is therefore more apomorphic. Our analyses illustrate that iaaNATs has unique physiological roles but at the same time it plays a role in a timezyme function, at least in photoperiodism. Photoperiodism has been considered as a function of circadian system but the detailed molecular mechanism is not well understood. We propose a molecular hypothesis for photoperiodism in Antheraea pernyi based on the transcription regulation of NAT interlocked by the circadian system. Therefore, the enzyme plays both unique and universal roles in insects. The unique role of iaaNATs in physiological regulation urges the targeting of this system for integrated pest management (IPM). We indeed showed a successful example of chemical compound screening with reconstituted enzyme and further attempts seem promising.
Beyond Barbie and Mortal Kombat: New Perspectives on Gender and Gaming

Ten years after the groundbreaking From Barbie to Mortal Kombat highlighted the ways gender stereotyping and related social and economic issues permeate digital game play, the number of women and girl gamers has risen considerably. Despite this, gender disparities remain in gaming. Women may be warriors in World of Warcraft, but they are also scantily clad "booth babes" whose sex appeal is used to promote games at trade shows. Player-generated content has revolutionized gaming, but few games marketed to girls allow "modding" (game modifications made by players). Gender equity, the contributors to Beyond Barbie and Mortal Kombat argue, requires more than increasing the overall numbers of female players. Beyond Barbie and Mortal Kombat brings together new media theorists, game designers, educators, psychologists, and industry professionals, including some of the contributors to the earlier volume, to look at how gender intersects with the broader contexts of digital games today: gaming, game industry and design, and serious games. The contributors discuss the rise of massively multiplayer online games (MMOs) and the experience of girl and women players in gaming communities; the still male-dominated gaming industry and the need for different perspectives in game design; and gender concerns related to emerging serious games (games meant not only to entertain but also to educate, persuade, or change behavior). In today's game-packed digital landscape, there is an even greater need for games that offer motivating, challenging, and enriching contexts for play to a more diverse population of players. Contributors: Cornelia Brunner, Shannon Campe, Justine Cassell, Mia Consalvo, Jill Denner, Mary Flanagan, Janine Fron, Tracy Fullerton, Elisabeth Hayes, Carrie Heeter, Kristin Hughes, Mizuko Ito, Henry Jenkins, Yasmin B. Kafai, Caitlin Kelleher, Brenda Laurel, Nicole Lazzaro, Holin Lin, Jacki Morie, Helen Nissenbaum, Celia Pearce, Caroline Pelletier, Jennifer Y. Sun, T. L. Taylor, Brian Winn, Nick Yee. Interviews with: Nichol Bradford, Brenda Braithwaite, Megan Gaiser, Sheri Graner Ray, Morgan Romine.
Stochastic topology cognition in heterogeneous networks

To enable ultra-dense random deployments of fem-tocells toward the fifth generation (5G) cellular networks, effectively autonomous interference mitigation has been regarded as the key for providing unprecedented levels of network capacity and coverage. From recent research and engineering efforts, achieving this goal relies on two promising technologies of cognitive radio (CR) to fully utilize the time-frequency domain radio resources, and stochastic geometry to capture physical distances among nodes (and thus the power domain radio resources). To fully exploit radio resources in all domains of time, frequency, and power, existing schemes impose a strong assumption on the availability of node densities for autonomous resource allocations. To practically validate this assumption, femtocells need to estimate densities of femtocell base stations. However, subject to limited coverage ranges of femtocells, each femtocell can only acquire limited samples insufficient for an accurate estimation. As a result, femtocells need to cooperate with each other. One possible cooperation scheme is selecting a femtocell as fusion center to collect partial information of node densities from all femtocells. This scheme is, however, vulnerable to the fusion center failure and is costly. To provide a robust and efficient scheme, in this paper, we integrate technical merits of CR and stochastic geometry to propose a stochastic network topology cognition framework for femtocells. Our scheme adopts a local processes/estimations of partial information to achieve a competitive performance as compared with that of a unrealistic fusion center, to practically enable a full radio resource utilization in all domains.
Symbol Grounding Problem

INTRODUCTION The topic of representation acquisition, manipulation and use has been a major trend in Artificial Intelligence since its beginning and persists as an important matter in current research. Particularly, due to initial focus on development of symbolic systems, this topic is usually related to research in symbol grounding by artificial intelligent systems. Symbolic systems, as proposed by Newell & Simon (1976), are characterized as a high-level cognition system in which symbols are seen as " [lying] at the root of intelligent action " (Newell and Simon, 1976, p.83). Moreover, they stated the Physical Symbol Systems Hypothesis (PSSH), making the strong claim that " a physical symbol system has the necessary and sufficient means for general intelligent action " (p.87). This hypothesis, therefore, sets equivalence between symbol systems and intelligent action, in such a way that every intelligent action would be originated in a symbol system and every symbol system is capable of intelligent action. The symbol system described by Newell and Simon (1976) is seen as a computer program capable of manipulating entities called symbols, 'physi-cal patterns' combined in expressions, which can be created, modified or destroyed by syntactic processes. Two main capabilities of symbol systems were said to provide the system with the properties of closure and completeness, and so the system itself could be built upon symbols alone (Newell & Simon, 1976). These capabilities were designation – expressions designate objects – and interpretation – expressions could be processed by the system. The question was, and much of the criticism about symbol systems came from it, how these systems, built upon and manipulating just symbols, could designate something outside its domain. Symbol systems lack 'intentionality', stated John Searle (1980), in an important essay in which he described a widely known mental experiment (Gedan-kenexperiment), the 'Chinese Room Argument'. In this experiment, Searle places himself in a room where he is given correlation rules that permits him to determine answers in Chinese to question also in Chinese given to him, although Searle as the interpreter knows no Chinese. To an outside observer (who understands Chinese), the man in this room understands Chinese quite well, even though he is actually manipulating non-interpreted symbols using formal rules. For an outside observer the symbols in the questions and answers do represent something, but for the man in the room the symbols lack intentionality. The man in the room acts like a symbol system, …
Drivers of archaeal ammonia-oxidizing communities in soil

Soil ammonia-oxidizing archaea (AOA) are highly abundant and play an important role in the nitrogen cycle. In addition, AOA have a significant impact on soil quality. Nitrite produced by AOA and further oxidized to nitrate can cause nitrogen loss from soils, surface and groundwater contamination, and water eutrophication. The AOA discovered to date are classified in the phylum Thaumarchaeota. Only a few archaeal genomes are available in databases. As a result, AOA genes are not well annotated, and it is difficult to mine and identify archaeal genes within metagenomic libraries. Nevertheless, 16S rRNA and comparative analysis of ammonia monooxygenase sequences show that soils can vary greatly in the relative abundance of AOA. In some soils, AOA can comprise more than 10% of the total prokaryotic community. In other soils, AOA comprise less than 0.5% of the community. Many approaches have been used to measure the abundance and diversity of this group including DGGE, T-RFLP, q-PCR, and DNA sequencing. AOA have been studied across different soil types and various ecosystems from the Antarctic dry valleys to the tropical forests of South America to the soils near Mount Everest. Different studies have identified multiple soil factors that trigger the abundance of AOA. These factors include pH, concentration of available ammonia, organic matter content, moisture content, nitrogen content, clay content, as well as other triggers. Land use management appears to have a major effect on the abundance of AOA in soil, which may be the result of nitrogen fertilizer used in agricultural soils. This review summarizes the published results on this topic and suggests future work that will increase our understanding of how soil management and edaphoclimatic factors influence AOA.
Ixodes ricinus and Its Endosymbiont Midichloria mitochondrii: A Comparative Proteomic Analysis of Salivary Glands and Ovaries

Hard ticks are hematophagous arthropods that act as vectors of numerous pathogenic microorganisms of high relevance in human and veterinary medicine. Ixodes ricinus is one of the most important tick species in Europe, due to its role of vector of pathogenic bacteria such as Borrelia burgdorferi and Anaplasma phagocytophilum, of viruses such as tick borne encephalitis virus and of protozoans as Babesia spp. In addition to these pathogens, I. ricinus harbors a symbiotic bacterium, Midichloria mitochondrii. This is the dominant bacteria associated to I. ricinus, but its biological role is not yet understood. Most M. mitochondrii symbionts are localized in the tick ovaries, and they are transmitted to the progeny. M. mitochondrii bacteria have however also been detected in the salivary glands and saliva of I. ricinus, as well as in the blood of vertebrate hosts of the tick, prompting the hypothesis of an infectious role of this bacterium. To investigate, from a proteomic point of view, the tick I. ricinus and its symbiont, we generated the protein profile of the ovary tissue (OT) and of salivary glands (SG) of adult females of this tick species. To compare the OT and SG profiles, 2-DE profiling followed by LC-MS/MS protein identification were performed. We detected 21 spots showing significant differences in the relative abundance between the OT and SG, ten of which showed 4- to 18-fold increase/decrease in density. This work allowed to establish a method to characterize the proteome of I. ricinus, and to detect multiple proteins that exhibit a differential expression profile in OT and SG. Additionally, we were able to use an immunoproteomic approach to detect a protein from the symbiont. Finally, the method here developed will pave the way for future studies on the proteomics of I. ricinus, with the goals of better understanding the biology of this vector and of its symbiont M. mitochondrii.
Loop-free convergence using ordered FIB updates: Analysis and routing optimization

Intradomain IP routing protocols like OSPF or IS-IS are robust against failures. New fast reroute mechanisms can minimize packet loss directly after an outage by temporarily detouring packets around the failed network element. This buys time for a loop-free convergence, which brings the topology to a new stable path layout without causing temporary micro-loops. We analyze the link utilizations during this loop-free convergence phase using the ordered FIB updates (OFIB) mechanism. We show that depending on the router update order, OFIB can temporarily increase the utilization on certain links in the network. To minimize the temporary load increase, we present a heuristic link cost optimization that minimizes the link utilizations both during failure-free routing and all phases of a failure recovery process. As OFIB does not define a unique global update order but provides only local constraints, it is difficult to calculate the highest possible link utilizations. We introduce a tight upper bound to the maximum link utilization, independent of the actual update order. It can quickly be calculated and allows us to perform link cost optimization including the loop-free convergence phase. We show that this results in a routing configuration that avoids additional overload during the OFIB phase without impairing normal routing performance.
Combining Unit Tests for Data Race Detection

Multithreaded programs are subject to data races. Data race detectors find such defects by static or dynamic inspection of the program. Current race detectors suffer from high numbers of false positives, slowdown, and false negatives. Because of these disadvantages, recent approaches reduce the false positive rate and the runtime overhead by applying race detection only on a subset of the whole program. To achieve this, they make use of parallel test cases, but this has other disadvantages: Parallel test cases have to be engineered manually, cover code regions that are affected by data races, and execute with input data that provoke the data races. This paper introduces an approach that does not need additional parallel use cases to be engineered. Instead, we take conventional unit tests as input and automatically generate parallel test cases, execution contexts and input data. As can be observed, most real-world software projects nowadays have high test coverages, so a large information base as input for our approach is already available. We analyze and reuse input data, initialization code, and mock objects that conventional unit tests already contain. With this information, no further oracles are necessary for generating parallel test cases. Instead, we reuse the knowledge that is already implicitly available in conventional unit tests. We implemented our parallel test case generation strategy in a tool called Test Merge. To evaluate these test cases we used them as input for the dynamic race detector CHESS that evokes all possible thread interleavings for a given program. We evaluated Test Merge using six sample programs and one industrial application with a high test case coverage of over 94%. For this benchmark, Test Merge identified all previously known data races and even revealed previously unknown ones.
The Rationale for Insulin Therapy in Alzheimer’s Disease

Alzheimer’s disease (AD) is the most common form of dementia, with a prevalence that increases with age. By 2050, the worldwide number of patients with AD is projected to reach more than 140 million. The prominent signs of AD are progressive memory loss, accompanied by a gradual decline in cognitive function and premature death. AD is the clinical manifestation of altered proteostasis. The initiating step of altered proteostasis in most AD patients is not known. The progression of AD is accelerated by several chronic disorders, among which the contribution of diabetes to AD is well understood at the cell biology level. The pathological mechanisms of AD and diabetes interact and tend to reinforce each other, thus accelerating cognitive impairment. At present, only symptomatic interventions are available for treating AD. To optimise symptomatic treatment, a personalised therapy approach has been suggested. Intranasal insulin administration seems to open the possibility for a safe, and at least in the short term, effective symptomatic intervention that delays loss of cognition in AD patients. This review summarizes the interactions of AD and diabetes from the cell biology to the patient level and the clinical results of intranasal insulin treatment of cognitive decline in AD.
Personality and Psychopathology: a Theory-Based Revision of Eysenck’s PEN Model

The principal aim of this paper is to investigate whether it is possible to create a personality taxonomy of clinical relevance out of Eysenck’s original PEN model by repairing the various shortcomings that can be noted in Eysenck’s personality theory, particularly in relation to P or Psychoticism. Addressing three approaches that have been followed to answer the question ‘which personality factors are basic? ’, arguments are listed to show that particularly the theory-informed approach, originally defended by Eysenck, may lead to scientific progress. However, also noting the many deficiencies in the nomological network surrounding P, the peculiar situation arises that we adhere to Eysenck’s theory-informed methodology, but criticize his theory. These arguments and criticisms led to the replacement of P by three orthogonal and theory-based factors, Insensitivity (S), Orderliness (G), and Absorption (A), that together with the dimensions E or Extraversion and N or Neuroticism, that were retained from Eysenck’s PEN model, appear to give a comprehensive account of the main vulnerability factors in schizophrenia and affective disorders, as well as in other psychopathological conditions.