Miracle-dz/UniFAR-FTUs huggingface dataset:
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network

We present CO-Net, a cohesive framework that optimizes multiple point cloud tasks collectively across heterogeneous dataset domains. CO-Net maintains the characteristics of high storage efficiency since models with the preponderance of shared parameters can be assembled into a single model. Specifically, we leverage residual MLP (Res-MLP) block for effective feature extraction and scale it gracefully along the depth and width of the network to meet the demands of different tasks. Based on the block, we propose a novel nested layer-wise processing policy, which identifies the optimal architecture for each task while provides partial sharing parameters and partial non-sharing parameters inside each layer of the block. Such policy tackles the inherent challenges of multi-task learning on point cloud, e.g., diverse model topologies resulting from task skew and conflicting gradients induced by heterogeneous dataset domains. Finally, we propose a sign-based gradient surgery to promote the training of CO-Net, thereby emphasizing the usage of task-shared parameters and guaranteeing that each task can be thoroughly optimized. Experimental results reveal that models optimized by CO-Net jointly for all point cloud tasks maintain much fewer computation cost and overall storage cost yet outpace prior methods by a significant margin. We also demonstrate that CO-Net allows incremental learning and prevents catastrophic amnesia when adapting to a new point cloud task.
Determination of breeding criteria for gait proficiency in leisure riding and racing dromedary camels: a stepwise multivariate analysis of factors predicting overall biomechanical performance

To date, the biomechanical dynamics in camelids have not been addressed, although it might be a factor that can affect selection and breeding in this species. Therefore, the aim of this article is to conduct curve fitting and discriminant canonical analysis to identify the mathematical function that best captures the dynamics of camel locomotion and to study the impact of kinematic, morphometric, physiological, and phaneroptic variables on gait performance in leisure riding and racing activities in dromedaries, respectively. The cubic function emerged as the most suitable mathematical model to represent the locomotive behavior of camels. Various factors were found to play a pivotal role in the athletic performance of leisure riding and racing dromedary camels. Concretely, angular measurements at the distal fore and rear extremity areas, pelvis inclination, relative volume of the hump, impact forces of the front limbs, post-neutering effects, and the kinematic behavior of the scapula, shoulder, carpus, hip, and foot are the factors that greatly impact gait performance in leisure riding and racing camels. The biomechanical performance at these specific body regions has a profound impact on weight absorption and minimization of mechanic impact during camel locomotion, static/dynamic balance, force distribution, energy of propulsion, movement direction and amplitude, and storage of elastic strain in leisure riding and racing dromedaries. In contrast, other animal- and environment-dependent factors do not exert significant influence on camel gait performance, which can be attributed to species-specific, inherited adaptations developed in response to desert conditions, including the pacing gait, broad foot pads, and energy-efficient movements. The outcomes of our functional data analysis can provide valuable insights for making informed breeding decisions aimed at enhancing animal functional performance in camel riding and racing activities. Furthermore, these findings can open avenues for exploring alternative applications, such as camel-assisted therapy.
Analysis of Students Creative Thinking Abilities Through Project-Based Learning in Environmental Knowledge Courses

The competency of creative thinking for students is very important in the era of global competition because of the level of complexity. This is because creative thinking skills are included in the six competencies that must be possessed in competition in the 21st century. This is because creative thinking skills are included in the six competencies that must be possessed in facing competition in the 21st century. Project-based learning is one method that can be used to train and improve students' creative thinking skills. This research aims to analyze students' critical thinking abilities through a project-based learning model in environmental knowledge courses. The method used in this research is descriptive. The research subjects consisted of 38 participants. The instrument used in this research is an essay test, and four indicators of creative thinking skills are considered: fluency thinking, flexible thinking, original thinking, and elaboration ability. The data analysis technique used is descriptive. The research results show that students' creative thinking abilities in environmental knowledge courses are in the high (creative) category, with a total score for all indicators is 74,75. It indicates that project-based learning is an effective strategy adapted to train and improve students' creative thinking abilities. Project-based learning is an innovative student-centered learning method where students can work autonomously to construct their learning. This is thought to cause students' creative thinking ability scores in environmental knowledge courses to be in the high category.
Smart IoT-Based Diabetes Management System

Diabetes is a chronic disease with a rising number of patients that requires regular monitoring of blood glucose levels and analysis of lifestyle habits that may affect those levels. However, not all patients are able to track and analyze this data effectively. The proliferation of smartphones and the Internet of Things (IoT) has resulted in numerous health and fitness Apps that can help individuals manage their health. In this vein, a proposed smart IoT-based diabetes system incorporates IoT technology to assist diabetic patients in maintaining their blood sugar levels within a target range. The system includes an intelligent algorithm and three types of devices that measure blood sugar levels, physical activity, food intake, medication, sleep, and other factors. Patients can easily track their blood sugar levels and lifestyle habits without logging effort, while doctors can remotely monitor patient health via sensors embedded in smartphones and wearables. This system also incorporates a novel method of measuring blood glucose levels using the concentration of acetone in breath, without any non-invasive techniques. Overall, this smart IoT-based diabetes system could greatly improve blood sugar management and quality of life for diabetic patients.
Differential Effects of Aripiprazole on Electroencephalography-Recorded Gamma-Band Auditory Steady-State Response, Spontaneous Gamma Oscillations and Behavior in a Schizophrenia Rat Model

The available antipsychotics for schizophrenia (SZ) only reduce positive symptoms and do not significantly modify SZ neurobiology. This has raised the question of the robustness and translational value of methods employed during drug development. Electroencephalography (EEG)-based measures like evoked and spontaneous gamma oscillations are considered robust translational biomarkers as they can be recorded in both patients and animal models to probe a key mechanism underlying all SZ symptoms: the excitation/inhibition imbalance mediated by N-methyl-D-aspartate receptor (NMDAr) hypofunction. Understanding the effects of commercialized atypical antipsychotics on such measures could therefore contribute to developing better therapies for SZ. Yet, the effects of such drugs on these EEG readouts are unknown. Here, we studied the effect of the atypical antipsychotic aripiprazole on the gamma-band auditory steady-state response (ASSR), spontaneous gamma oscillations and behavioral features in a SZ rat model induced by the NMDAr antagonist MK-801. Interestingly, we found that aripiprazole could not normalize MK-801-induced abnormalities in ASSR, spontaneous gamma oscillations or social interaction while it still improved MK-801-induced hyperactivity. Suggesting that aripiprazole is unable to normalize electrophysiological features underlying SZ symptoms, our results might explain aripiprazole’s inefficacy towards the social interaction deficit in our model but also its limited efficacy against social symptoms in patients.
Evaluation of Single-Event Upset in FinFET Device

With the continuous development of the IC industry, planar MOSFET technology has reached its limits, especially at the 16nm and below process nodes. FinFET technology has become the mainstream technology. FinFET devices are characterized by high integration and high operating frequencies. With the growing demands of space applications, FinFET devices will undoubtedly be widely applied in the aerospace field. However, due to significant changes in device structures, a rigorous evaluation of FinFET devices is required before their application in the aerospace domain, to ensure their reliability and stability in space environments. In the space environment, SEU is one of the main factors affecting device reliability. Conducting radiation assessment on SEU of FinFET devices, studying the mechanism of SEU in FinFET devices, is significant for the radiation hardening of FinFET devices, and it will accelerate the development of FinFET devices in the aerospace application field.
Quantifying and understanding the tropical peatlands of the central Congo Basin

The world’s second largest tropical wetland is found in the central Congo Basin. Ambiguous grey-literature reports of peat, coupled with the large area of wetland suggest this region may be a globally significant carbon store. In this thesis I aim to establish whether this region, known as the Cuvette Centrale, harbours significant peatlands, to characterise them, compute the first estimate of peatland extent and C stocks based on ground data, to determine the factors which led to peat initiation and their maintenance today. Fieldwork within the Likouala Department, Republic of Congo, confirmed widespread peat presence. Peat-vegetation associations were recorded in the field, which combined with remotely sensed radar, optical and elevation data was used to estimate the area of peatland; at 145,529 km2 (95% CI, 134,720-154,732 km2), the Cuvette Centrale is the single most extensive tropical peatland complex in the world. The peat is shallow (maximum depth: 5.90 m) and characterised as non-domed, nutrient poor systems, occupying large interfluvial basins. Area measurements combined with those of peat depth, bulk density and C concentration, collected in the field, suggest a total peat C stock of 30.2 Pg C (90% CI, 27.8-32.7 Pg C). This increases the current global tropical peatland C stock estimate from 88.6 Pg C to 115.8 Pg C. Radiocarbon dates show peat initiated early Holocene (dated from 10555 cal yrs BP onwards), with a possible Mid- to Late-Holocene hiatus in peat accumulation, with both likely linked to changes in regional precipitation. Pressure transducers measuring the peatland water tables, rainfall estimates and water source geochemistry imply that the peatlands today are predominantly rain-fed systems. My discovery that the Congo Basin, not tropical Asia, is home to the world’s largest single peatland complex elevates the current global peatland C stock estimate from 88.6 Pg C to 115.8 Pg C and will require new regional management plans if the destructive fate of tropical Asian peatlands are to be avoided in central Africa.
Traslape en patrones de actividad entre grandes felinos y sus principales presas en el norte de Quintana Roo, México

Activity patterns have been explained as one of the axes that allow the niche segregation, which helps explain the coexistence of species, researchers have overlooked the relevance of these and their effects on the community dynamics. At northern Quintana Roo, Mexico, activity patterns of jaguar ( Panthera onca ), puma ( Puma concolor ) and 18 potential preys were evaluated by camera trapping in 2008, 2010 - 2012. The objectives were determining the overlap in circadian cycles between pumas, jaguars and potential prey to know if their activity patterns change over time. For the study only independent records of all species were considered, the overlap in activity patterns was evaluated using the coefficient of overlap ( d ). Bootstrap confidence intervals for coefficient of overlap were calculated at 95 % level based on 1,000 bootstrap replicates of the observed overlap coefficient. It is assumed that the activity data are generated by a circular distribution; thus activity patterns between pairs of species were compared by the nonparametric statistical test of Watson and Wheeler. Both predators were active throughout the day but are primarily nocturnal-twilight with estimated overlap coefficient of 0.87, their activity patterns changed over the years, factors like human activity and fair near to the reserve affect the activity, this factors modified the activity of both cats. Both cats had a temporal association with seven potential preys. The temporal segregation was given by the peaks of activity and spatial evasion. This study allows us understand temporal segregation strategies between felines and the factors that influencing changes in their activity patterns, although both cats have a high overlap in time. A detailed analysis shows that they modified their activity patterns through the years, this resulted after changes in the environment (human activity, fair near to the reserve, distribution and abundance prey), and this in turn causes a change in activity patterns of both felines evading each other.
Anaesthetic managements of 16 days’ neonate with large occipital meningeoencephalocele in a resource-limited setting, Ethiopia: a clinical case report and review of literature

Introduction: Meningoencephalocele is a rare congenital neural tube defect that results in herniation of brain tissue, necessitating surgical treatment. However, anaesthetic management of meningoencephalocele is challenging because of the giant occipital mass in airway management, particularly for anaesthetists working in resource-limited settings. Therefore, this case report aimed to share the challenges encountered during the perioperative anaesthesia management of a giant occipital meningoencephalocele in Ethiopia. Case presentation: A 16-day-old female neonate was referred from a health centre in Ethiopia for surgical excision and repair of a giant occipital meningoencephalocele (GOM). The main challenges were hemodynamic instability and airway management due to the giant mass on neck movement and inability to achieve the optimal position for intubation. Methods: A single clinical case report discussed challenges encountered during perioperative anaesthesia management of GOM in a resource-limited setting in Ethiopia, and this work has been reported in line with the SCARE 2023 criteria. Conclusion: Anaesthesia management in neonates with GOM is challenging for anaesthetists in resource-limited settings because of the scarcity of different airway equipment and large masses. Another concern was to avoid pressure on the GOM due to rupture, which may result in hemodynamic instability and hypothermia. Therefore, attention should be paid to proper handling of the airway, hypothermia, and fluid loss. Generally, managing an occipital meningoencephalocele poses challenges for anaesthetists, particularly in terms of securing the airway. Despite these challenges, the authors managed with locally available resources.
The Domestic Livestock Resources of Turkey: Social Aspects, Genetic Resources and Conservation of Companion Animal Cats (Felis Catus)

Located at the boundaries of Europe and Asia, Turkey is home to an extraordinary variety of domestic animal species and breeds that include bees, camels, cats, cattle, dogs, domestic fowl, donkeys, ducks, goats, geese, horses, mules, pigs, rabbits, sheep, silkworms, water buffalo and several species of domestic birds (partridge, pheasant, pigeon and ostrich). In addition to the clearly distinct Angora and Van cat breeds a short-haired nondescript cat breed is found throughout Turkey. As well as private household ownership, Angora cats have been raised at Ankara Zoo which has belonged to the Ministry of Food, Agriculture and Livestock since 1939. The Van cat is raised at the Van Cat Research Centre at Yuzuncu Yil University in Van Province which also has a small clinic for the cats. There is a risk of extinction for the Angora and Van breeds but none for the short-haired nondescript type. This paper reviews social aspects, the genetic resources and conservation status of the native cat breeds of Turkey.
Efecto del tratamiento térmico sobre la composición química y minerales en semillas de lupinos silvestres Effect of thermal treatment on the chemical composition and minerals of wild lupin seeds

Wild lupine consumption has restrictions due to the presence of alkaloids; however, these components can be reduced with a suitable thermal treatment. The aim of this research was to determine the thermal effect on chemical composition and minerals of wild lupine. Lupinus mexicanus had a reduction in protein and fat contents of 34.76 to 33.11 and 6.10 to 5.41 g/100 g of sample respectively, and an increase in ash and dietary fi ber of 3.84 to 4.53 g/100g and 20.9 to 28.48 g/100 g respectively. L. mexicanus raw seeds revealed the highest Ca content (3,252 mg/ kg), L. elegans was the highest in Mg with 2,656 mg/kg. Highest Fe content was found in Lupinus rotundifl orus (82.8 mg/kg), and Lupinus exaltatus in Cu (184.4 mg/kg). All species showed similar Zn content of 73.3 mg/kg (Lupinus montanus) to 89.6 mg/kg (L. exaltatus). In all species the Cu content decreased, mainly in Lupinus elegans with a loss of 76,71 %.
Intentions Matter: The Role of Purpose in Excessive Social Media Usage and Smartphone Addiction

Social media offer a wide range of advantages, but excessive usage can result in negative, psychological and behavioral consequences, including addiction. This study aims to explore the role of intentions of excessive social media usage in smartphone addiction. The analysis included data from 483 respondents who answered an online survey. The results showed that intentions of excessive social media usage can be grouped into four categories: social motivations, mode modification, productive reasons, and peer pressure. The results of multiple linear regression analysis revealed that the using social media excessively for mode modification and for peer pressure were significant predictors of smartphone addiction. Additionally, multivariate analysis of variance (MANOVA) indicated significant age groups differences in intentions of excessive social media usage for peer pressure and for productive reason. Emerging adults used social media excessively for peer pressure and productive reasons compared to adults. Conversely, a significant gender-related differences in intentions of excessive social media usage for mode modification and for social motivation. Females used social media excessively for mode modification and for social motivation compared to male. These findings enhance our comprehension of the factors impacting smartphone addiction and emphasize the role of intentions of excessive social media usage in its development, overcoming the limitation of the literature on screentime, which has paid limited focus to the purpose of use.
The triggering of aftershocks by the free oscillations of the earth

Analysis of the Loma Prieta aftershock sequence (mainshock: 18 October 1989) shows periodicities at the periods of two normal modes 0S2 and 0T2. About 10% of the small aftershocks in the fault zone are triggered by these two modes during the 6 days following the mainshock.
Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval

The performance of text-video retrieval has been significantly improved by vision-language cross-modal learning schemes. The typical solution is to directly align the global video-level and sentence-level features during learning, which would ignore the intrinsic video-text relations, i.e., a text description only corresponds to a spatio-temporal part of videos. Hence, the matching process should consider both fine-grained spatial content and various temporal semantic events. To this end, we propose a text-video learning framework with progressive spatio-temporal prototype matching. Specifically, the matching process is decomposed into two complementary phases: object-phrase prototype matching and event-sentence prototype matching. In the object-phrase prototype matching phase, the spatial prototype generation mechanism predicts key patches or words, which are aggregated into object or phrase prototypes. Importantly, optimizing the local alignment between object-phrase prototypes helps the model perceive spatial details. In the event-sentence prototype matching phase, we design a temporal prototype generation mechanism to associate intra-frame objects and interact inter-frame temporal relations. Such progressively generated event prototypes can reveal semantic diversity in videos for dynamic matching. Validated by comprehensive experiments, our method consistently outperforms the state-of-the-art methods on four video retrieval benchmark.1
Forcipomyia (Pterobosca) pinheyi nouvelle espèce de l'Ile Maurice parasite des ailes de libellules et nouvelles localisations du sous-genre [Diptera, Ceratopogonidae; Odonata]

Forcipomyia (Pterobosca) pinkeyi n.sp. est decrite de nouvelles localisations sont fournies pour F. (P.) mollipes (Guinee, Cote d'Ivoire), F. (P.) incubans (Guadeloupe) et F. (P.) fusicornis (Guadeloupe, Marie Galarte)
Left to Their Own Devices

New media provide college students with an unprecedented number of ways to spend their unstructured time. Research on decision making suggests that choosers low in self-control presented with proximate options will eschew tasks that provide delayed benefit in favor of immediate gratification and will experience guilt when they are aware of the tradeoff between immediate gratification and long-term benefits. A survey of college students (N = 458) suggests that users are aware of overuse of leisure media because of deficits in self-control, in particular two proximate media experience (social networking sites [SNS] and online video). Of these, only online video viewing is associated with less time spent on schoolwork. Though this study is correlational and thus does not definitively establish causality, the evidence suggests that the interaction between the high-choice media environment and users’ self-control may account for a decline in learning among college students.
Evolution progressive d'un glissement rotationnel en un courant de turbidité : cas du séïsme de 1929 des Grands Bancs (Terre Neuve)

In July 1990 the area near the epicentre of the 1929 M=7 Grands Banks earthquake was surveyed using the IFREMER high-resolution sidescan system (SAR) and in-situ geotechnical measurements were made with the Module Geotechnique. Thick Quaternary muds on Saint-Pierre Slope have failed by retrogressive sliding on slopes of 3 o . Local steep slopes of 10 o have erosional forms including a flute-like scour and channels are developed within 2 km of the heads of the retrogressive slides, indicating that turbidity currents evolved rapidly from the slides. Ignition of turbidity currents occured on local steep slopes. Progressive retrogression of slides initiated on steeper slopes provided a mechanism for maintaining a turbidity current for several hours after the 1929 earthquake, as required by the observed volume transport on the Laurentian Fan