Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed PV cluster partitioning strategy based on GAN data synthesis federation clustering

With the increasing scale of high-penetration distributed PV clusters in power systems, traditional PV sub-clustering methods can no longer meet the data privacy requirements of distributed PV multi-subjects. In this regard, this paper proposes a distributed PV cluster delineation framework based on federated learning synthetic clustering. Firstly, this paper addresses the data leakage problem of different distributed users in cluster partitioning by generating virtual data through a federated learning mechanism and GAN network. Secondly, the net load of distributed nodes, and the active and reactive regulation capacity of PV power supply are selected as the indexes for dividing PV clusters. Finally, a modularity function is used to measure the effectiveness of the distributed PV cluster partitioning results after considering data privacy protection. The simulation results show that the distributed PV cluster classification results obtained by the proposed method in this paper are highly reliable under the premise of privacy protection.
Beyond the Ring: Quantized Heterogeneous Consistent Hashing

Consistent hashing (CH) is a crucial building block for load-balancers. It enables packets of the same flow to keep being mapped to the same server whenever possible. Load- balancers implement heterogeneous CH to deal with the varying server speeds. However, they mostly rely on the old Ring algorithm, suffering from practical scalability and stability issues, as well as from a lack of theoretical stability guarantees. This paper presents a new framework for heterogeneous CH. The framework relies on quantization using virtual servers, and on a min-max fairness-based mapping algorithm denoted M3. The paper establishes necessary and sufficient conditions to guarantee stability for any arbitrary heterogeneous server service rate. We also explain why M3 presents better scalability properties than all heterogeneous CH alternatives, including a faster key lookup rate and a lower memory footprint. Finally, evaluations show that M3 also offers a significantly increased stability region.
Novel micro-structure design of dielectric layer for capacitive tactile sensor

This paper presents a novel design of planar capacitive tactile sensor with a dielectric layer with inverted pyramids of mixed-sizes. Because of this unique microstructure, a linear capacitance-pressure characteristic is achieved with of this tactile sensor, and the measurement range is extended compared with a sensor with same-size pyramids. The effect of the arrangement of the pyramids on the sensor performance is experimentally investigated. The dynamic response (~6.9 ms), repeatability and durability of the sensor are improved and also evaluated.
Modular Design of a Front-End and Back-End Speech-to-Speech Translation Application for Psychiatric Treatment of Refugees

One of the inevitable impacts happening in areas with political conflicts is the significant influx of displaced individuals. The psychological consequences on individuals enduring such events are profound. Therefore, the imperative of providing adequate mental health care to refugees coming from conflict areas becomes apparent. However, providing this necessary care faces two obstacles. On the one hand, not all this target population is expected to have an acceptable level of proficiency of the hosting country’s local language. On the other hand, finding enough number of suitable interpreters is a very challenging task. Moreover, even when the availability of the human interpreters is no problem, the refugees may hesitate to share their experiences with interpreters due to the associated stigma. To address these challenges and enhance mental health care for refugees, we propose the design of a modular front-end and back-end Speech-to-Speech translation system, with a focus on safeguarding patient data privacy. As our system is Speech-to-Speech, it also enables dialogue with dyslexic people and removes barriers for their treatment as well.
LLMs: A Promising New Tool for Improving Healthcare in Low-Resource Nations

This paper explores the potential of large language models (LLMs) in addressing healthcare inequalities, particularly in underserved nations with provider shortages, limited resources, and funding constraints. The UN’s Sustainable Development Goal 3 aims to achieve health and well-being for all, but disparities persist. Recent advancements in LLMs, exemplified by OpenAI’s GPT-4, demonstrate their ability to surpass human performance on certain medical exams, offering an opportunity to augment the limited number of physicians and meet unmet healthcare needs affordably. By customizing LLMs for healthcare, various applications become possible, including automating patient screening, assisting with diagnosis and treatment, enabling virtual health assistants to track health indicators and educate communities, supporting frontline health workers in addressing basic healthcare needs, translating medical knowledge for accessibility, and aiding multilingual healthcare providers. However, challenges such as inadequate data and infrastructure, risks of bias and privacy breaches, cost and access barriers, and security threats must be addressed to ensure that the benefits of LLMs reach communities facing the greatest challenges and threats. This paper highlights the potential benefits, challenges, and the need for collaboration to harness the power of LLMs effectively in healthcare and contribute to achieving the UN’s Sustainable Development Goal 3.
Classiﬁcation of Negotiation Thought Units using Supervised Learning

In this paper we apply natural language processing and machine learning techniques to a corpus of transcripts from Imai and Gelfand [4] in order to develop classi-ﬁers that can be used to automate coding of negotiation thought units. The models we used include multinomial Naive Bayes, maximum entropy, and a ﬁrst-order conditional random ﬁeld. We demonstrate that such clas-siﬁers perform signiﬁcantly better than a baseline that samples from the observed probability distribution over labels. However, our results suggest that the existing corpus suﬀers from sparseness and that training a clas-siﬁer with accuracy high enough to eliminate the need for manual coding requires a much larger corpus.
A better representation of VOC chemistry in WRF-Chem and its impact on ozone over Los Angeles

The declining trend in vehicle emissions has underscored the growing significance of Volatile Organic Compound (VOC) emissions from Volatile Chemical Products (VCP). However, accurately representing VOC chemistry in simplified chemical mechanisms remains challenging due to its chemical complexity including speciation and reactivity. Previous studies have predominantly focused on VOCs from fossil fuel sources, leading to an underrepresentation of VOC chemistry from VCP sources. We developed an integrated chemical mechanism, RACM2B-VCP, that is compatible with WRF-Chem and is 5 aimed to enhance the representation of VOC chemistry, particularly from VCP sources, within the present urban environment. Evaluation against the Air Quality System (AQS) network data demonstrates that our model configured with RACM2B-VCP
Investigating the challenges facing effective implementation of free primary education in Bo District, Southern Sierra Leone

This paper aims to examine the obstacles hindering the successful implementation of Free Primary teaching in Kakua chiefdom, Bo district, Southern Sierra Leone, focusing on the adequacy of funding and provision of educational resources to schools. The research employed a survey design with a cross-sectional approach, involving the collection of both qualitative and quantitative data from various respondents simultaneously. The target population consisted of 600 participants, including 20 school leaders, 575 teachers, and 5 education officers from the Bo district. The sample, comprising 120 responses, included one deputy director (DD), two zonal executives of the Sierra Leone Teachers Union (ZESLTU), nine school leaders, and 108 teachers. The DD and ZESLTU executives were selected through purposive sampling, while school leaders and teachers were chosen through proportionate sampling. Interviews were scheduled with the Sierra Leone Teachers Union's zonal executives and DD. The results revealed that a majority of teachers reported overcrowded classrooms attributed to free primary education, aligning with findings from other research. The necessary number of classrooms exhibited variation, with an average deficit of 2 per school. Teachers reported inadequacies in classrooms, urinals, toilets, desks, and textbooks. However, other teaching and learning aids were generally rated as sufficient. This highlights a lack of resources in schools, potentially impeding the efforts of teachers and school administrators. Therefore, the study recommends that the government should allocate adequate funding, time, and resources to ensure the effective implementation of free primary school education without compromising quality.
Journal of Ecology and The Natural Environment

Epiphytes constitute an element of climate regulation in the tropical zone. In Cameroon, the decline in forest area of about 220,000 ha, partly due to urbanization, has been observed. The research aim was to characterize the epiphytic flora of the urban ecosystem of Douala. Four zones represented by nine neighbourhoods were chosen for the surveys. Four transects of a maximum distance of 500 m were scanned on each neighbourhood. Epiphytes were checked by direct visual observation on the host trees. Epiphytes’s life forms were determined, and the fixation zone was established using the Johanson method. A total of 72 species of epiphytes were identified, dominated by Polypodiaceae. Casual epiphytes were the most abundant life-form, and true epiphytes were the least, divided into Polypodiaceae, Dryopteridaceae, and Orchidaceae within the genus Calyptrochillium . Twenty-two species of host trees were inventoried in the study area. Rutaceae was the most represented family with six species. True epiphytes were abundant in seaside and peripheral areas, while Casual and Hemiepiphytes were in the central sectors. The domestication of epiphytes must be initiated in order to preserve their diversity in urban ecosystem.
Containment

This article examines children’s agency in their interactions with social workers during statutory encounters in a child protection context. It draws from a UK wide ethnographic study . It finds that much of social workers’ responses to children’s agency in this context are best understood as a form of ‘containment’. In doing so, it offers an original and significant contribution to the theoretical understanding of children’s agency, as well as its application in social work practice.
Aliso: A Journal of Systematic and Floristic Botany Aliso: A Journal of Systematic and Floristic Botany

ABSTRAcr A comparative study of the leaf anatomy ofthree species of three genera of Goetzeaceae (Henoonia, Goetzea, and Espadaea) revealed a number of characteristics common to all genera, viz. anomocytic stomata, sinuous anticlinal epidermal walls, both glandular and uniseriate nonglandular trichomes, crystal sand and druses in the mesophyll (often in the same cell), and intraxylary phloem. The mid veins of these species exhibit secondary growth and parenchymatous rays. The unifying anatomical features of this family are, however, not uncommon in the Solanaceae. The results of this study support placement of the Goetzeaceae in or very near Solanaceae. The ecology of the species studied is reflected in the anatomy of the leaves. The leaves of Henoonia exhibit a number ofxeromorphic features; the leaves of Goetzea are mesomorphic; while those of Espadaea are intermediate.
Aliso: A Journal of Systematic and Floristic Botany Aliso: A Journal of Systematic and Floristic Botany

An experiment was conducted to determine the effects of nutritional level and flower location on factors related to flower, pollen, and ovule production, and to determine what developmental patterns would be modified to mediate any observed changes. Plants subjected to high nutrient levels developed larger leaves, more branches, more flowers on both the main stem and the branches, and opened their first flowers 6 days sooner than plants at lower levels of nutrients. Total flower number increased from 72.2 to 626.8 per plant, with most of the increase produced on the primary branches. The number of pollen grains in the entire androecium averaged 14,685, but significantly increased with higher nutrient levels and decreased with the stage of plant maturity (nodal position on the plant). The number of ovules also increased with nutrient level and decreased with maturity stage. Average ovule number decreased from about 129 in flowers at nodes produced early in the growth cycle to about 100 in flowers produced at later nodes. Despite highly significant plasticity in numbers of both pollen and ovules, the Pollen/Ovule Ratio (average 132.7) did not vary significantly with either nutrient level or plant maturity stage. Path analysis, which decomposes correlation coefficients into direct and indirect effects of factors influencing development, indicated that nutrient level had a very strong direct effect on the number of primary branches and on the number of primary-branch flowers, as well as very strong indirect effects on the latter. The primary-branch flowers directly determined over 67% of the total flower number, and indirectly determined about 24%jointly with secondary-branch flowers, and over 3% jointly with main-stem flowers. The direct effects of secondary-branch flowers and main stem flowers were 3.8% and 0.3%, respectively. The relationship among components of yield is slightly additive. Direct determination of yield was 74.6% by the number of flowers per plant, 0.6% by the number of ovules per flower, 3.8% by the number of seeds per ovule, and 1.1 % by the weight per seed. The proportion of yield jointly determined by flower number and the developed seeds per ovule was 15.3%. It was concluded that allocation of resources increases to both male and female functions under conditions of high nutrient levels, and pollen/ovule ratios are consistent within a plant despite significant plasticity in numbers of pollen grains and ovules.
FOR ENSURING ECONOMIC AND RESOURCE SECURITY OF UKRAINE

This scientific article examines the problems of economic and resource security in Ukraine and emphasises the importance of using disruptive technologies to achieve sustainable development. It was found that disruptive tech - nologies lead to radical changes in production technologies, work organisation, and the socio-economic landscape. They affect the structure of the economy, the labour sphere, and social relations, which contribute to industrial revolu - tions. Scientists describe the Third, Fourth and Fifth industrial revolutions, which affect the development of the green economy, cyber-physical systems and the harmony between man and technology. Ukrainian researchers are also studying the concept of Industry 4.0 and disruptive technologies, including digital technologies, artificial intelligence, the Internet of Things, and production automation, to increase the competitiveness of the industrial sector and the development of the economy. During their research, the authors discuss four disruptive technologies: renewable energy, cyber security, artificial intelligence and blockchain, and their potential to ensure the country's economic and resource security. Renewable energy can reduce dependence on traditional energy sources and promote sustain - able development. Cybersecurity is an essential aspect of the digital world, and disruptive technologies in this field can ensure the adequate protection of information systems. Artificial intelligence can improve productivity and quality of life by automating processes and developing innovative solutions. Blockchain technology can ensure the security and transparency of data management and improve the efficiency of supply chain management. The integration of these disruptive technologies into the economy and resource management of Ukraine can have a significant impact on the country's sustainable development and security. These technologies can increase productivity, reduce risk, improve resource efficiency, and better protect against cyber threats. Disruptive technologies are a critical factor in achieving the economic and resource well-being of Ukraine.
THUIR at the NTCIR-17 FairWeb-1 Task: An Initial Exploration of the Relationship Between Relevance and Fairness

The fairness of search systems has become an important research topic for the IR community. This paper presents and discusses the efforts of the THUIR team in developing effective and fair retrieval models and ranking algorithms in the NTCIR-17 FairWeb-1 Task [22]. Specifically, we utilize several different methods in all 5 submitted runs including reranking, learning-to-rank, and search result diversification algorithms to deal with the group fairness problem in web search. The final report of the FairWeb-1 Task indicates that our methods have outperformed other competitors on both result relevance and fairness. In terms of the GFR (Group Fairness Relevance) metric, our methods respectively outperform the second-ranked team by 9.74%, 17.8%, and 19.8% on three topics of queries.
Effects of Heterogeneous Vegetation on the Surface Hydrological Cycle

用气候因素的水文学模型和连续插值走近的三层的可变渗入能力(VIC-3L )(SIA ) ，作者在表面水文循环上学习了不同土地覆盖类型的效果。 从 1992to 的每日的气候数据 2001 并且遥远地察觉到的叶面指数(LAI ) 在模型被使用。 模型被用于 Baohe 硫，长江盆的潜水艇盆，中国，与 2500 km~2 的一个区域。 在 Baohe 硫的 Thevegetation 盖子类型主要由混交林类型组成(～ 8 5%) 。 有观察分泌物数据的建模的结果的比较建议那：(1 ) 在 1992-2001 的时期上的 Dailydischarges 与遥远地察觉到的土地覆盖数据的输入模仿了数据能通常生产的 andLAI 观察分泌物变化，和建模的 annual 总计分泌物与一个平均数同意观察 1.4% 的差别。 遥感图象的使用也做土壤水分蒸发蒸腾损失总量的建模的空间分布身体上有意义。 (2 ) 当脱落林地盖住的同类的阔叶烟草为分水岭被假定时，年度平均分泌物的 Therelative 计算错误(RCE ) 是 -24.8% 。 当一个同类的农田封面被假定时，错误是 21.8% 并且 -14.32% 当土地覆盖印射的 REDC (中国的资源和环境数据库) 被使用时。 当一个遥远地察觉到的土地覆盖 at1000-m 决定被使用时，错误被归结为 1.4% 。
Genetic diversity, gene flow, and landscape resistance in a pond‐breeding amphibian in agricultural and natural forested landscapes in Norway

Abstract Genetic diversity is a key part of biodiversity, threatened by human activities that lead to loss of gene flow and reduction of effective population sizes. Gene flow is a result of both landscape connectivity and demographic processes determining the number of dispersing individuals in space and time. Thus, the effect of human impact on processes determining the level of genetic diversity must be interpreted in the context of basic ecological conditions affecting survival and recruitment. When the intensity of human impact and habitat suitability correlate, the effect on genetic diversity and gene flow may be challenging to predict. We compared genetic diversity, gene flow and landscape resistance in two contrasting landscapes in Norway for the pond‐breeding amphibian Triturus cristatus: a highly human‐impacted, agricultural landscape with ecologically productive habitats, and a forested landscape with less productive habitats and lower levels of human impact. Our results show that genetic diversity was higher and gene flow lower within the forested landscape. Microclimatic moisture conditions and vegetation cover were important determinants of landscape resistance to gene flow within both landscapes. There were indications that landscape resistance was increased by minor roads in the forested landscape, which was not the case for the agricultural landscape, suggesting a higher vulnerability to human interference within the landscape matrix for the populations in less productive habitats. Our findings suggest that the effect of human impact on genetic diversity may not be straightforward but modulated by the ecological conditions underlying local demographic processes. Populations within both landscapes seem to be vulnerable to loss of genetic diversity, but due to different mechanisms. This has implications for the choice of relevant management actions, that is, increasing population stability may be more relevant within an agricultural landscape still permeable for dispersal, while conserving dispersal corridors may be more appropriate in the forested landscape, to avoid isolation and increased genetic drift.
Provence-Alpes-Côte d'Azur. Plus de 850 000 personnes vivent sous le seuil de pauvreté

En Provence-Alpes-Cote-d'Azur, plus de 850 000 personnes, soit 17,3 % de la population, vivent sous le seuil de pauvrete en 2013. La region presente le plus fort taux de pauvrete apres la Corse et les Hauts-de-France. Les departements de Vaucluse et des Bouches-du-Rhone sont les plus touches. Les fortes inegalites de revenus dans la region se traduisent par une exposition tres variable des communes a la pauvrete. Elle concerne plus d'une personne sur cinq a Avignon, Marseille et Nice. Dans la region comme au niveau national, les jeunes et les familles monoparentales sont les plus exposes a la pauvrete.
Revealing the Secrets of Radio Embedded Systems: Extraction of Raw Information via RF

This article discusses the critical issue of the remote extraction of information from radio-enabled embedded systems, and focuses on sources emanating from micrometer wavelengths. These sources include intra-chip or inter-device buses and board-level routing traces, within tens of centimeters of the system’s transmission antenna or front end (FE). Traditionally, side-channel analysis (SCA) attacks center on micrometer-level signal that emanate direct near-field information detectable within centimeters. Simple power analysis (SPA) attacks focus similarly over stronger signals and fewer statistics. Here, however, we turn to typically larger elements corresponding to larger wavelengths than previously reported. Recent discoveries reveal that radio-enabled systems can transmit data over far-field distances, which can be analyzed via SCA-like methods. Studies have also described direct data extraction from centimeter to tens of centimeters-scale sources such as SATA, USB, and others. These sources act as substantial transmission antennas. This article differs considerably from these works, since it targets intermediate wavelengths which find their way to leak into the RF-FE. We document a significant security challenge: nearly all signals within embedded systems, even serial ports, DMA-controlled memory access, and others, leak what can be considered to practically be raw information with high-SNR over tens of centimeters to the RF-FE. This has strong implications for signal integrity, security, and standards related to electromagnetic compatibility (EMC), signal shielding, and interference (EMI, RFI). We show that onboard signals with galvanic connections to the RF-FE-chip and onboard signals without galvanic connections to the RF-FE-chip are coupled, amplified and transmitted with high SNR, which enables quasi-raw extraction. We further demonstrate how sophisticated adversaries can build code-injection gadgets that can carry sensitive data and modulate the stream to be optimally extracted by the RF-channel. Practical demonstrations using commercial and low-cost equipment reinforce our claims. Specifically, we show that without concrete interference and isolation standards designed with security in mind, mitigating these leakages remains a challenge.