Miracle-dz/UniFAR-FTUs huggingface dataset:
NUTRITIONAL COMPOSITION OF ANTHESISING MALE INFLORESCENCE OF OIL PALM Elaeis guineensis ESSENTIAL FOR DEVELOPMENT OF Elaeidobius kamerunicus Faust: FIRST REPORT

Rearing of Elaeidobius kamerunicus, the pollinator of oil palm, requires the anthesising male inflorescence of oil palm as the breeding and feeding ground. Various studies have reported on the weevils utilising the male inflorescence as feed to sustain its development. However, for routine rearing, the use of male inflorescence is inconvenient as it has to be continuously collected from the field. Thus, this pioneering study was conducted to determine the nutritional composition of anthesising male inflorescence of oil palm (Elaeis guineensis Jacq.) which is essential for E. kamerunicus life development. First, proximate analysis was performed to determine the nutritional composition of anthesising male inflorescence. Next, the nutritional profiles of amino acids, fatty acids and carbohydrates were determined and analysed separately. The average proximate analysis of anthesising male inflorescence of oil palm recorded a high moisture content of 75%, followed by carbohydrate, protein, fat and ash. The amino acid profile revealed the presence of 18 amino acids with lysine having the highest content. The spikelet also recorded a total of 32 fatty acids with oleic acid recording the highest value. Nevertheless, the carbohydrate profile was not determined as its presence was in trace amount only. This study provided new knowledge and reference standard on the nutritional composition of anthesising male inflorescence of oil palm that is essential for
Target-Aware Implicit Mapping for Agricultural Crop Inspection

Crop inspection is a critical part of modern agricultural practices that helps farmers assess the current status of a field and then make crop management decisions. Current crop inspection methods are labour-intensive tasks, which makes them rather slow and expensive to apply. In this paper, we exploit recent advancements in implicit mapping to tackle the challenging context of agricultural environments to create dense maps of crop rows with high enough fidelity to be useful for automated crop inspection. Specifically, we map strawberry and sweet pepper crop rows using RGB images captured by a wheeled mobile field robot inside a greenhouse and then use this data to build 3D maps to document the development of plants and fruits. Our Target-Aware Implicit Mapping system (TAIM) uses a SLAM-based pose initialization strategy for robust pose convergence, an efficient information-guided training sample selection framework for faster loss reduction, and focuses on exploiting training samples for fruit regions of the scene, which are critical for crop inspection tasks, to create more accurate maps in less time.
Energetic music is used for anger downregulation: A cross‐cultural differentiation of intensity from rhythmic arousal

Funding information Japan Society for the Promotion of Science Abstract Music is often used to “soothe the soul,” and one important function of music listening has been emotion regulation. In comparing consumption trends across cultures, past research has shown that individuals in Western countries, with typically higher prevalence of high arousal negative emotions, tend to listen to similarly high arousal rhythmic (danceable) music to cathartically discharge those emotions. However, other studies have shown that Spotify's energy feature, a measure of the intensity‐based arousal of a song, indicates the opposite effect: Energy was higher in songs in East Asian top‐50 charts than in Western ones. Combining evidence from reanalyses of secondary data (Pilot Analyses 1 and 2), sentiment analyses of lyrics from the US and Singapore (Study 1; N = 87 songs), and an emotion induction experiment in Japan and the US (Study 2; N = 353 participants), we show that collectivistic, East Asian cultures generally prefer songs with higher energy levels, and energetic songs are robustly associated with anger downregulation, over sadness and anxiety downregulation. We speculate that energy, as an intensity‐based musical arousal feature, may represent internalizing (control) regulation that one uses to “drown out” anger, which would be more prevalent in East Asian cultures due to sociocultural norms of emotion (non)expression. Conversely, this would be different from the externalizing regulation associated with rhythm‐based musical arousal (i.e., danceability).
Latest Ordovician age of the Spinachitina fragilis Chitinozoan Biozone in Baltoscandia

The global Spinachitina fragilis Chitinozoan Biozone has been considered the lower most Silurian zone in most publications. S. fragilis was first described from the Ohesaare drill core, Estonia, and utilised as a Baltic regional zonal taxon together with Ancyrochitina laevaensis. Despite its wide geographical occurrence, S. fragilis has remained poorly documented in its type region. This has created confusion in taxonomy and distribution of the species. Herein, we have restudied material from the type locality and supplementary sections in the East Baltic region. S. fragilis generally has a very short stratigraphic range, which, according to new data on carbon isotope chemostratigraphy, coincides with the falling limb of the Hirnantian carbon isotope excursion. This suggests the latest Hirnantian rather than the early Rhuddanian age of the Spinachitina fragilis Chitinozoan Biozone in Baltoscandia. Based on this view, we revise the latest Ordovician chitinozoan biozonal scheme for the region. Globally, the S. fragilis Biozone may span across the Ordovician–Silurian boundary.
Valorisation of Olive Pomace for the Production of Bio- Composite Adsorbents Applied in as Removal from Drinking Waters

Paper Received: 21 December 2022; Revised: 18 March 2023; Accepted: 4 June 2023 Please cite this article as: Altimari P., Di Caprio F. , Falcone I. , Coletta J., Moscardini E. , Astolfi M.L. , Brasiello A. , Pagnanelli F. , 2023, Valorisation of Olive Pomace for the Production of Bio-Composite Adsorbents Applied in as Removal from Drinking Waters, Chemical Engineering Transactions, 100, 457-462 DOI:10.3303/CET23100077 CHEMICAL ENGINEERING TRANSACTIONS
Capturing Mismatch between Textual and Acoustic Emotion Expressions for Mood Identification in Bipolar Disorder

Emotion is a complex behavioral phenomenon, which is expressed and perceived through various modalities, such as language, vocal and facial expressions. Psychiatric research has suggested that the lack of emotional alignment between modalities is a symptom of emotion disorders. In this work, we quantify the mismatch between emotion expressed through language and acoustics, which we refer to as Emotional MisMatch (EMM), as an intermediate step for mood identification. We use a longitudinal dataset collected from people with Bipolar Disorder (BP) and show that symptomatic mood episodes show significantly more EMM, compared to euthymic moods. We propose a fully automatic mood identification pipeline with automatic speech transcription, emotion recognition, and EMM feature extraction. We find that EMM features, although smaller in size, outperform a language-based baseline, and consistently provide improvement when combined with language and/or raw emotion features on mood classification.
Urogenital Fistula: Epidemioclinical and Etiological Aspects

Introduction: The objective of this study was to analyse the epidemiological, clinical and etiological aspects of urogenital fistula in our department. Materials and Method: Retrospective descriptive study was carried out in our urology department between 1 June 2020 and 30 June 2022. Result: Totally 71 cases of urogenital fistula have been collected. The mean age was 33.41± 11.09 (15 - 66 years). The main (98.6%) clinical symptom was continuous urine leakage, which appeared within 2-7days after normal or caesarean child delivery. Fistula due to obstructed labour is the predominant aetiological, accounting for 85.91%. The majority of patients were victims of this accident during their 1st childbirth. They were generally homemakers, illiterate and coming from remote area Mean childbirth labour duration: 42, 33 ± 21, 49(12-120 hours). This accident was associated to 92, 53% of stillbirth rate and lead to 7, 04% of divorce. Conclusion: Struggles against this pathology passes necessarily through promoting girls socio-economic condition and education, raising awareness against harmful religious and traditional practices.
Examining the Relationship between Relational e-HRM and Organizational Performance: A Study of the Banks of Lahore during the COVID-19 Pandemic

The current study empirically investigated the implementation of relational e-HRM practices in banks and examined their relationship with the overall organizational performance of the banks in Lahore during COVID-19 pandemic. It also highlighted the issues that managers face during the implementation of relational e-HRM practices. The mixed method approach was adopted to conduct this cross-sectional study. Commercial banks with their head offices in Lahore were chosen and 171 branches were selected randomly. The purposive sampling technique was used to collect qualitative data and semi-structured interviews of sixteen (16) branch managers were carried out online. Qualitative data was analyzed thematically while covariance-based structural equation modeling (CB-SEM) was used to understand the effect of e-HRM practices on organizational performance. Most of the banks were found to have implemented all the relational e-HRM practices except e-selection which was implemented only in two branches. Relational e-HRM practices showed a positive effect on the overall performance of banks during COVID-19 pandemic. Centralized decision- making, limited autonomy of bank branches, presence of senior, computer illiterate employees, and inadequate financial resources were found to obstruct the implementation of e-HRM practices. The current research added to the e-HRM literature and examined the association between relational e-HRM practices and overall organizational performance in the context of banks operating in Lahore which apparently was never done before. Only the top commercial banks operating in Lahore, one of the largest metropolitans in Pakistan, were included in this study. The generalizability of findings may be enhanced with further studies.
Aerosols and Climate

Deep convective clouds (DCCs) are associated with the vertical ascent of air from the lower to the upper atmosphere. They appear in various forms such as thunderstorms, supercells, and squall lines. These convective systems play important roles in the hydrological cycle, Earth’s radiative budget, and the general circulation of the atmosphere. Changes in aerosol (both cloud condensation nuclei and ice-nucleating particles) affect cloud microphysics and dynamics, and thereby influence convective intensity, precipitation, and the radiative effects of deep clouds and their cirrus anvils. However, the very complex dynamics and cloud microphysics of DCCs means that many of these processes are not yet accurately quantified in observations and models. This chapter outlines the main ways in which changes in aerosol affect the microphysical, dynamical, and radiative properties of DCCs. Aerosol interactions with DCCs depend on aerosol properties, storm dynamics, and meteorological conditions. When aerosol particles are light-absorbing, such as soot from industry or biomass burning, the aerosol radiative effects can alter the meteorological conditions under which DCCs form. These radiative effects modify temperature profiles and planetary boundary layer heights, thus changing atmospheric stability and circulation, and affecting the onset and development of DCCs. These large-scale effects, such as the effect of anthropogenic aerosol on the East and South Asian monsoons, can be simulated in coarse-resolution models. These processes are described in Chapter 13. This chapter is concerned with aerosol interactions with DCC systems ranging from individual clouds to mesoscale convective systems. Increases in cloud condensation nuclei (CCN) can enhance cloud droplet number concentrations and decrease droplet sizes, thereby narrowing the droplet size spectrum. For DCCs, a narrowed droplet size spectrum suppresses warm rain formation (rain derived from non-ice-phase processes), allowing the transport of more, smaller droplets to altitudes below 0°C. This may result in (i) freezing of more supercooled water, thereby enhancing latent heating from icerelated microphysical processes and invigorating storms (ice-phase invigoration); (ii) modification of ice-related microphysical processes, which changes cold pools, precipitation rates, and hailstone frequency and size; (iii) expansion of the mixed-phase zone and decreases in the cloud glaciation temperature; and (iv) slowing down of cloud dissipation, resulting in larger cloud cover and cloud depth in the stratiform and anvil regions due to numerous smaller ice particles. The increased cloud cover and cloud depth constitute an influence of aerosol on the cloud radiative effect. Reduced diurnal temperature variation has been observed and simulated as a result of enhanced daytime cooling and nighttime warming by expanded anvil cloud area in polluted environments. However, the global radiative effect of aerosol interactions with DCCs remains to be quantified.
A modal logic for uncertainty: a completeness theorem

In the present paper, we axiomatize a logic that allows a general approach for reasoning about probability functions, belief functions, lower probabilities and their corresponding duals. The formal setting we consider arises from combining a modal S5 necessity operator (cid:3) that applies to the formulas of the infinite-valued Łukasiewicz logic with the unary modality 𝑃 that describes the behaviour of probability functions. The modality 𝑃 together with an S5 modality (cid:3) provides a language rich enough to characterise probability, belief and lower probability theories. For this logic, we provide an axiomatization and we prove that, once we restrict to suitable sublanguages, it turns out to be sound and complete with respect to belief functions and lower probability models.
Children’s Acquisition of the Concept of Antonym Across Different Lexical Classes

Understanding abstract relations, and reasoning about various instantiations of the same relation, is an important marker in human cognition. Here we focus on development of understanding for the concept of antonymy. We examined whether fourand five-year-olds (N= 67) are able to complete an analogy task involving antonyms, whether language cues facilitate children’s ability to reason about the antonym relation, and how their performance compares with that of two vector-based computational models. We found that explicit relation labels in the form of a relation phrase (“opposites”) improved performance on the task for five-year-olds but not four-year-olds. Five-year-old (but not four-year-old) children were more accurate for adjective and verb antonyms than for noun antonyms. Two computational models showed substantial variability in performance across different lexical classes, and in some cases fell short of children’s accuracy levels. These results suggest that young children acquire a solid understanding of the abstract relation of opposites, and can generalize it to various instantiations across different lexical classes. These developmental results challenge relation models based on vector semantics, and highlight the importance of examining performance across different parts of speech.
Communication via Biotremors in the Veiled Chameleon (Chamaeleo Calyptratus): Part I- Biotremor production And Response to Substrate-Borne Vibrations.

Biotremors are vibrations, usually surface waves along the boundary of a medium, produced by an organism. While substrate-borne vibrations are utilized by different reptile species, true conspecific communication via biotremors has not yet been demonstrated in lizards. Recent research revealed that the veiled chameleon (Chamaeleo calyptratus) produces biotremors. The prerequisites for any communication system are the ability of an organism to produce and detect a signal. We tested C. calyptratus behavioral responses to vibrations by placing them on a dowel attached to a shaker, emitting vibrations of 25, 50, 150, 300, and 600 Hz and compared their locomotory velocity before and after the stimulus. Adult chameleons exhibited a freeze response to 50 and 150 Hz, while juveniles exhibited a similar response to frequencies between 50-300 Hz. In a second experiment, chameleons were induced to produce biotremors via experimenter contact. These biotremors ranged in mean fundamental frequency from 106.4 to 170.3 Hz and in duration from 0.06 to 0.29 s. Overall, two classes of biotremors were identified, "hoots" and "mini-hoots," which differed significantly in mean relative signal intensity (-7.5 and -32.5 dB, respectively). Juvenile chameleons two months of age were able to produce biotremors, suggesting this behavior may serve a wide range of ecological functions throughout ontogeny. Overall, the data demonstrate that C. calyptratus can both produce and detect biotremors that could be used for intraspecific communication.
Tactile Tool Manipulation /Author=Shirai, Yuki; Jha, Devesh K.; Raghunathan, Arvind; Hong, Dennis /CreationDate=May 2, 2023 /Subject=Robotics

Humans can effortlessly perform very complex, dexterous manipulation tasks by reacting to sensor observations. In contrast, robots can not perform reactive manipulation and they mostly operate in open-loop while interacting with their environment. Consequently, the current manipulation algorithms either are inefficient in performance or can only work in highly structured environments. In this paper, we present closed-loop control of a complex manipulation task where a robot uses a tool to interact with objects. Manipulation using a tool leads to complex kinematics and contact constraints that need to be satisfied for generating feasible manipulation trajectories. We first present an open-loop controller design using Non-Linear Programming (NLP) that satisfies these constraints. In order to design a closed-loop controller, we present a pose estimator of objects and tools using tactile sensors. Using our tactile estimator, we design a closed-loop controller based on Model Predictive Control (MPC). The proposed algorithm is verified using a 6 DoF manipulator on tasks using a variety of objects and tools. We verify that our closed-loop controller can successfully perform tool manipulation under several unexpected contacts. IEEE International Conference on Robotics and Automation (ICRA) 2023 c © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Mitsubishi Electric Research Laboratories, Inc. 201 Broadway, Cambridge, Massachusetts 02139 Tactile Tool Manipulation Yuki Shirai1, Devesh K. Jha2, Arvind U. Raghunathan2, and Dennis Hong1 Mechanics Offline Planning Online Estimation and Control Tactile
SEAGULL: An Embodied Agent for Instruction Following through Situated Dialog

The growing demand for advanced AI necessitates the development of an intelligent agent capable of perceiving, reasoning, acting, and communicating within an embodied environment. We introduce SEAGULL, an interactive embodied agent designed for the inaugural Alexa Prize SimBot Challenge, which can complete complex tasks in the Arena simulation environment through dialog with users. SEAGULL is engineered to be efficient, user-centric, and continuously improving. To achieve these goals, we develop a modular system that combines neural and symbolic components. Our natural language understanding module employs a hierarchical pipeline to convert user utterances into logical symbolic representations of their intentions and semantics. Meanwhile, a neural vision module detects object classes, states, and spatial relations. These multi-sensory inputs are then processed by a state tracker to update the agent’s beliefs regarding the world state, user intentions, and task progress. A central policy interprets the neuro-symbolic beliefs and selects one of several available skills, including navigation, planning, and dialog. We place particular emphasis on optimizing dialog flow and user experience, ensuring that users have a responsive, natural, informative, and engaging interaction with our bot. Furthermore, we have developed tools and pipelines to augment our vision and language data, continually enhancing our system’s robustness and performance.
First Episodic Atmospheric Deposition of Nutrients to Utah Lake: Statistical Analysis and Characterization

Atmospheric deposition (AD) is a significant but poorly understood source of nutrients to many aquatic systems around the world. Accurate characterization of the nutrient budgets of aquatic systems is critical to good management decisions, so a better understanding of AD-related nutrient loads is essential, especially for water bodies where nutrient loads from atmospheric deposition are significant. Due to its large surface area, proximity to Great Basin dust sources, high values of atmospheric particulates due to inversions, and the high phosphorus content of local soils, Utah Lake, in the semi-arid Utah Valley, USA, experiences significant phosphorus loading from AD. The lake is eutrophic and has a history of impaired water quality and HABs, which has motivated significant study and debate over nutrient loads to the lake. Previous studies that measured phosphorus AD to Utah Lake showed a large portion of the AD was associated with a few high-volume deposition events, with the data exhibiting unexpectedly high peaks at some locations on a few dates. These issues cast doubt on the data. We used statistical analyses and machine learning models to characterize AD to Utah Lake. In addition to determining the distribution of AD events, we analyzed the relationship between phosphorus AD and local weather events. We used this analysis to determine whether the high phosphorus measurements were outliers due to sampling errors or represented actual conditions. Our analysis shows that AD events followed an XXX distribution, similar to the distribution of precipitation events on the lake. We found the high phosphorus deposition events were correlated with instances of high wind occurring when the ground was dry. We also observed regular cycles of higher and lower measurements throughout the year that are like measures of atmospheric particulate matter. We conclude that atmospheric phosphorus deposition on Utah Lake is episodic and driven by weather conditions around the lake, with the most important factors being the number of hours with high winds during a collection period and the percentage of those hours where the ground was dry during a collection period followed by dry deposition from particulate matter. This is an important finding for the management of Utah Lake and also has implications for the management of other eutrophic lakes in which atmospheric deposition of nutrients impacts water quality.