Miracle-dz/UniFAR-FTUs huggingface dataset:
MAP-IO, an atmospheric and marine observatory program onboard M arionDuf resne over the Southern Ocean

This article is devoted to the presentation of the MAP-IO observation program. This program, launched in early 2021, has enabled the observation of nearly 700 days of measurements over the Indian and Southern Ocean thanks to the equipment of 17 meteorological and oceanographic scientiﬁc instruments on board the ship MarionDufresne . Several observation techniques have been developed to respond to the difﬁculties of observations on board ships, in particular for passive remote sensing data, as well as quasi-autonomous data acquisition and transfer. The ﬁrst measurements made it possible to draw 5 up unprecedented climatological data of the Southern Ocean of the size distribution and optical thickness of aerosols, of the concentration of trace gases and greenhouse gases, of UV, and of integrated water vapor. High resolution observations of phytoplankton in surface waters have also shown a great variability in latitude, in terms of abundance and community structure (diversity). The operational success of this program and these unique scientiﬁc results all together establish a proof of concept and underline the need to transform this program into a permanent observatory.
A Study On Evaluating Service Quality Of Mumbai Metro Trains Using Servqual Model - Line 1, Line 2a And Line 7

The main aim of the study is to measure the service quality of Mumbai metro trains in general and to evaluate the service quality gap between the perception and expectation of commuters, as there are many metro lines under construction but the present study focuses only on 3 metro lines that are in operation currently, the two new lines of the Mumbai metro viz Line 2A - Andheri West to Anand Nagar and Line 7 - Gundavli to Dahisar started in January 2023 whereas line 1- from Ghatkopar to Versova has operated since 2014. The SERVQUAL Model is used to analyze the service quality gap, 5 constructs of the model were studied consisting of 3 factors in every i.e.15 questions of the SERVQUAL model were used in the study, Data has been collected from 120 Metro travelers of Mumbai City using Google forms. (Minimum sample required at 0.5 effect size, Alpha of 5%, and power of test 95% to apply paired t-test = 54) non-probability convenience sampling technique was used for the current study. Both primary and secondary data collection techniques have been used for the present study. SPSS 26 has been used for the current study, and the technique applied for the analysis is paired t–test. As per the findings of the research, there is no service gap in the constructs of Reliability, Tangibility, and Assurance but there exists a service gap in a few items of empathy and responsiveness.
Review of Tropical‐Extratropical Teleconnections on Intraseasonal Time Scales

The interactions and teleconnections between the tropical and midlatitude regions on intraseasonal time scales are an important modulator of tropical and extratropical circulation anomalies and their associated weather patterns. These interactions arise due to the impact of the tropics on the extratropics, the impact of the midlatitudes on the tropics, and two‐way interactions between the regions. Observational evidence, as well as theoretical studies with models of complexity ranging from the linear barotropic framework to intricate Earth system models, suggest the involvement of a myriad of processes and mechanisms in generating and maintaining these interconnections. At this stage, our understanding of these teleconnections is primarily a collection of concepts; a comprehensive theoretical framework has yet to be established. These intraseasonal teleconnections are increasingly recognized as an untapped source of potential subseasonal predictability. However, the complexity and diversity of mechanisms associated with these teleconnections, along with the lack of a conceptual framework to relate them, prevent this potential predictability from being translated into realized forecast skill. This review synthesizes our progress in understanding the observed characteristics of intraseasonal tropical‐extratropical interactions and their associated mechanisms, identifies the significant gaps in this understanding, and recommends new research endeavors to address the remaining challenges.
Effects of an Educational Intervention Program on Positional Cranial Deformity in Premature Infants

Positional cranial deformities are associated with prematurity evolving during the first 2 years of life due to the malleable characteristics of the skull, the first year being the main/primary therapeutic window for intervention. The objectives were (a) to describe health characteristics, peri- and postnatal pathologies, and positional cranial deformities in infants enrolled in an early intervention program and (b) to analyze the effects of a parent education-based intervention program on positional cranial deformity in premature infants. A quantitative, analytical, longitudinal study was conducted. It included 103 premature infants enrolled in an early intervention program (EIP) during the year 2017, all under 4 months of corrected age, to whom a parent education-based intervention program was applied. Cranial circumference, cranial width, diagonals, and anteroposterior diameter were measured, and the cranial asymmetry index (CAI) and cephalic index (CI) were calculated at baseline and during two subsequent evaluations separated by a 3-month period. The main results showed that 75.7% of the infants belonged to a very premature gestational age category, and 57.3% had an adequate weight for gestational age. The most frequent pathologies were premature jaundice, premature anemia, and hyaline membrane disease. The most frequent positional cranial deformity was plagiocephaly. The parent education-based intervention program resulted in (1) a significant decrease in the CAI and a significant increase in the IC, (2) plagiocephalies: an increase in the mild category and a decrease in the moderate + severe categories, (3) brachycephalies: a decrease in the absence category and an increase in the moderate + severe category, and (4) dolichocephalies: an increase in the absence category and a decrease in the mild category. In conclusion, the recommended first line of intervention was not enough for this population, and future studies should support the development of national clinical guidelines, where education is complemented with other therapeutic measures.
The ecology of edible mushrooms of the Nigerian savannah: Towards their optimal exploitation

Objective : The objectives of this study was to identify the various microhabitats in which edible mushrooms grow; to identify their fruiting pattern time; and to relate the findings to their optimal exploitation in a Nigerian savannah. Methodology and Results : The mushrooms were collected at the onset to the end of the rainy season. Mushrooms at different stages of growth were handpicked; photographed at different resolutions and their microhabitats and the month in which they were found was recorded. Species identification was archived by carefully examining the attributes of the sporocarps such as colour, shape, size, texture of the cap; and presence or absence of gills, etc. T-Test and Diversity Indices were conducted on the data. Thirty-one (31) different edible mushroom species were found in the study area. They largely belong to the families of Agaricaceae, Lyophyllaceae and Polyporaceae. They are found in 18 different microhabitats, which include Arable Lands; Fallow lands; soils around dead Tree Stumps; Woods; and 14 different living tree species. The highest species richness (15) and species diversity (Shannon Diversity index, SDI: 2.54) was found under Parkia biglobosa tree. The second was Tamarindus indica, having 8 species with 1.95 SDI; followed by Decaying Wood where 6 different mushroom species were recorded with SDI of 1.57. Collectively, the exotic trees habited 8 mushroom species, while the indigenous trees habited 18, which was significantly (p-value = 0.0001) different. Decaying Wood has the highest peculiar species, which was 5; Fallow have 4 species; followed by Parkia biglobosa that has 3 species. Out of the total 31 species 21 were found in the year 2016 and 24 in 2017, while only13 species were found in both 2016 and 2017, but the difference was not statistically significant (p-value = 0.961). Conclusion and Application of results : The study area is rich in diverse edible mushroom species, which comprises mostly of those species belonging to the family Agaricaceae, Lyophyllaceae and Polyporaceae. The microhabitats of these mushrooms include arable lands currently under cultivation; abandoned fallow lands; soils around dead tree stumps; decaying woods; and 14 different living tree species. The result of this study has important information that can be an indispensable guide for proper exploitation of edible mushrooms in this region and elsewhere. Keywords : Arable; Bauchi; Edible; Fallow; Microhabitat; Mushroom; Parkia biglobosa; Savannah Wood
A hitting time for Lévy processes, with application to dams and branching processes

ABSTRACT. - A simple derivation is presented for the density of the zero-hitting time of a spectrally positive Levy process. It is discussed in relation to existing proofs, and the result itself is discussed in relation to continuous time fluctuation theory. The time to emptiness of a dam fed by a subordinator is a particular case. For this, a new identity is given, and it is used to derive a simple expression for the density of the canonical measure of the regenerative phenomenon of emptiness. Several limit theorems are derived giving continuous analogues of known results for Lagrange laws.
QUALITY OF SURFACE WATER IN THE AGRICULTURAL DISTRICT LONJA FIELD (CROATIA)

The objective of this study was to estimate the impact of land use on the surface water quality. Water samples were collected in the main drainage channel, in the agricultural area of Lonja field, Croatia. Lonja field is the largest protected wetland in both Croatia and the entire Danube basin. It extends along the river Sava and the lower course of the river Lonja. Sampling was performed during the spring months in 2015, 2016 and 2017. Investigation was done through the measurements of physicochemical indicators: pH value, biochemical oxygen demand (BOD), concentration of oxygen, nitrate, phosphate, trace metals (Zn, Pb and Cd), dissolved organic carbon (DOC), and surface active fraction of DOC. The obtained results were compared with those of the Lonja and Sava rivers. The significant higher concentrations of DOC (up to about 13 mg C dm) have been observed in the water from main drainage channel. It is known that, high DOC concentrations in surface waters have negative effects on the water quality and water habitats.
An Internet-Based Intervention to Promote Mental Fitness for Mildly Depressed Adults: Randomized Controlled Trial

Background Depression is a worldwide problem warranting global solutions to tackle it. Enhancing well-being has benefits in its own right and could be a good strategy for preventing depression. Providing well-being interventions via the Internet may have synergetic effects. Objective Psyfit (“mental fitness online”) is a fully automated self-help intervention to improve well-being based on positive psychology. This study examines the clinical effects of this intervention. Methods We conducted a 2-armed randomized controlled trial that compared the effects of access to Psyfit for 2 months (n=143) to a waiting-list control condition (n=141). Mild to moderately depressed adults in the general population seeking self-help were recruited. Primary outcome was well-being measured by Mental Health Continuum-Short Form (MHC-SF) and WHO Well-being Index (WHO-5); secondary outcomes were depressive symptoms, anxiety, vitality, and general health measured by Center for Epidemiological Studies Depression Scale (CES-D), Hospital Anxiety and Depression Scale Anxiety subscale (HADS-A), and Medical Outcomes Study-Short Form (MOS-SF) vitality and general health subscales, respectively. Online measurements were taken at baseline, 2 months, and 6 months after baseline. Results The dropout rate was 37.8% in the Psyfit group and 22.7% in the control group. At 2-month follow-up, Psyfit tended to be more effective in enhancing well-being (nonsignificantly for MHC-SF: Cohen’s d=0.27, P=.06; significantly for WHO-5: Cohen’s d=0.31, P=.01), compared to the waiting-list control group. For the secondary outcomes, small but significant effects were found for general health (Cohen’s d=0.14, P=.01), vitality (d=0.22, P=.02), anxiety symptoms (Cohen’s d=0.32, P=.001), and depressive symptoms (Cohen’s d=0.36, P=.02). At 6-month follow-up, there were no significant effects on well-being (MHC-SF: Cohen’s d=0.01, P=.90; WHO-5: Cohen’s d=0.26, P=.11), whereas depressive symptoms (Cohen’s d=0.35, P=.02) and anxiety symptoms (Cohen’s d=0.35, P=.001) were still significantly reduced compared to the control group. There was no clear dose–response relationship between adherence and effectiveness, although some significant differences appeared across most outcomes in favor of those completing at least 1 lesson in the intervention. Conclusions This study shows that an online well-being intervention can effectively enhance well-being (at least in the short-term and for 1 well-being measure) and can help to reduce anxiety and depression symptoms. Further research should focus on increasing adherence and motivation, reaching and serving lower-educated people, and widening the target group to include people with different levels of depressive symptoms. Trial Registration Netherlands Trial Register (NTR) number: NTR2126; http://www.trialregister. nl/trialreg/admin/rctview.asp? TC=2126 (archived by WebCite at http://www.webcitation.org/6IIiVrLcO).
Deception at a Distance: Long-Distance Deception and Romantic Relationships

: Research on long-distance relationships has focused on how to achieve successful long-distance relationships (LDRs), the limitations of LDRs, and the satisfaction level in long-distance relationships. Further, deception studies have focused on the nonverbal cues of deception and the effects of deception. However, few studies have researched the interaction of long-distance relationships and deception behaviors in romantic relationships. This study examined how deception comes into play in long distance relationships. There were 161 participants in this study. Specifically, we looked at how uncertainty affects deception frequency as well as gender differences. In addition, we looked at relationship length and the amount of deception as well as the frequency of deception. Results revealed that gender highly impacts the perception of deception.
Analysis of a wastewater based low temperature district heating system with booster heat pumps for new and existing residential buildings

District heating networks play a key role in the transition towards sustainable cities, due to their ability to efficiently provide space heating and domestic hot water to buildings located in urban areas. Although an increasing number of buildings is being refurbished, a significant portion of the building stock during next decades will still be made by old buildings with low thermal insulation. The potential of recovering energy from a low temperature heat source and to efficiently supply it to both new and existing residential buildings through a heat pump based district heating system (HPDH) is here investigated on the case study of Abano Terme (Italy), where a large volume of wastewater is discharged to the environment at the temperature range 35-55°C. In particular, an analysis is carried out to compare a district heating system with distributed heat pumps (d-HPDH) to a more conventional one with central heat pump and auxiliary gas boiler (c-HPDH). Simulation of neighborhood heat demand and district heating operation are based on internally developed models in MATLAB/Simulink. A brief description of the models is given here. A real neighborhood consisting of 98 buildings of different age classes has been simulated. Both HPDH systems bring a sharp drop in primary energy consumption with regard to the current situation made of individual gas boilers. The efficiency improvement of the d-HPDH over the c-HPDH is expected to increase with growing number of new and recently constructed buildings. When the latter consume 21% of heat demand, the seasonal coefficient of performance of dHPDH is 4% higher than c-HPDH.
ANNALES DE L’INSTITUT FOURIER

— In his work on representations of Thompson’s group F , Vaughan Jones defined and studied the 3-colorable subgroup F of F . Later, Ren showed that it is isomorphic to the Brown–Thompson group F 4 . In this paper we continue with the study of the 3-colorable subgroup and prove that the quasi-regular representation of F associated with the 3-colorable subgroup is irreducible. We show in addition that the preimage of F under a certain injective endomorphism of F is contained in three (explicit) maximal subgroups of F of infinite index. These sub-groups are different from the previously known infinite index maximal subgroups of F , namely the parabolic subgroups that fix a point in (0 , 1), (up to isomorphism) the Jones’ oriented subgroup ⃗F , and the explicit examples found by Golan. Résumé. — Vaughan Jones a introduit et étudié un sous-groupe F du groupe de Thompson F dit le sous-groupe 3-colorable , apparu naturellement dans son travail sur les représentations unitaires de F . Ren a montré que ce sous-groupe est isomorphe
NusaBERT: Teaching IndoBERT to be Multilingual and Multicultural

Indonesia's linguistic landscape is remarkably diverse, encompassing over 700 languages and dialects, making it one of the world's most linguistically rich nations. This diversity, coupled with the widespread practice of code-switching and the presence of low-resource regional languages, presents unique challenges for modern pre-trained language models. In response to these challenges, we developed NusaBERT, building upon IndoBERT by incorporating vocabulary expansion and leveraging a diverse multilingual corpus that includes regional languages and dialects. Through rigorous evaluation across a range of benchmarks, NusaBERT demonstrates state-of-the-art performance in tasks involving multiple languages of Indonesia, paving the way for future natural language understanding research for under-represented languages.
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

Multimodal Large Language Model (MLLMs) leverages Large Language Models as a cognitive framework for diverse visual-language tasks. Recent efforts have been made to equip MLLMs with visual perceiving and grounding capabilities. However, there still remains a gap in providing fine-grained pixel-level perceptions and extending interactions beyond text-specific inputs. In this work, we propose {\bf{AnyRef}}, a general MLLM model that can generate pixel-wise object perceptions and natural language descriptions from multi-modality references, such as texts, boxes, images, or audio. This innovation empowers users with greater flexibility to engage with the model beyond textual and regional prompts, without modality-specific designs. Through our proposed refocusing mechanism, the generated grounding output is guided to better focus on the referenced object, implicitly incorporating additional pixel-level supervision. This simple modification utilizes attention scores generated during the inference of LLM, eliminating the need for extra computations while exhibiting performance enhancements in both grounding masks and referring expressions. With only publicly available training data, our model achieves state-of-the-art results across multiple benchmarks, including diverse modality referring segmentation and region-level referring expression generation.
MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model

The body movements accompanying speech aid speakers in expressing their ideas. Co-speech motion generation is one of the important approaches for synthesizing realistic avatars. Due to the intricate correspondence between speech and motion, generating realistic and diverse motion is a challenging task. In this paper, we propose MMoFusion, a Multi-modal co-speech Motion generation framework based on the diffusion model to ensure both the authenticity and diversity of generated motion. We propose a progressive fusion strategy to enhance the interaction of inter-modal and intra-modal, efficiently integrating multi-modal information. Specifically, we employ a masked style matrix based on emotion and identity information to control the generation of different motion styles. Temporal modeling of speech and motion is partitioned into style-guided specific feature encoding and shared feature encoding, aiming to learn both inter-modal and intra-modal features. Besides, we propose a geometric loss to enforce the joints' velocity and acceleration coherence among frames. Our framework generates vivid, diverse, and style-controllable motion of arbitrary length through inputting speech and editing identity and emotion. Extensive experiments demonstrate that our method outperforms current co-speech motion generation methods including upper body and challenging full body.
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?

The industry is rich in cases when we are required to make forecasting for large amounts of time series at once. However, we might be in a situation where we can not afford to train a separate model for each of them. Such issue in time series modeling remains without due attention. The remedy for this setting is the establishment of a foundation model. Such a model is expected to work in zero-shot and few-shot regimes. However, what should we take as a training dataset for such kind of model? Witnessing the benefits from the enrichment of NLP datasets with artificially-generated data, we might want to adopt their experience for time series. In contrast to natural language, the process of generation of synthetic time series data is even more favorable because it provides full control of series patterns, time horizons, and number of samples. In this work, we consider the essential question if it is advantageous to train a foundation model on synthetic data or it is better to utilize only a limited number of real-life examples. Our experiments are conducted only for regular time series and speak in favor of leveraging solely the real time series. Moreover, the choice of the proper source dataset strongly influences the performance during inference. When provided access even to a limited quantity of short time series data, employing it within a supervised framework yields more favorable results than training on a larger volume of synthetic data. The code for our experiments is publicly available on Github \url{https://github.com/sb-ai-lab/synthesize_or_not}.