Miracle-dz/UniFAR-FTUs huggingface dataset:
The rise and fall of the South African peasantry

The first edition of this book was hailed as a major reinterpretation of South African history. It criticised the prevailing view that African agriculture was primitive or backward, and attacked the notion that poverty and lack of development were a result of 'traditionalism'. Bundy's work introduced the idea that by the late nineteenth and early twentieth century capitalist development in South Africa was increasingly hostile to peasant producers and a massive onslaught was launched against them - the understanding of this was vital to an understanding of both the South African past and present.
Role of telemedicine in obstetrics and gynecology: an experience at tertiary care center

ABSTRACT Background The telemedicine/telehealth is well established and rapidly evolving innovation in modern practice of medicine. It is used in nearly every aspect of obstetrics and gynecology. Telehealth intervention may reduce the need for in-person visits amongst high-risk obstetric patients. It is an effective innovation for chronic gynecological conditions. Research design and methods This was a prospective, observational study where the online platform ‘e-Sanjeevani’ was used. It was a health care worker to doctor (specialist) consultation regarding the patient. After an interaction, provisional diagnosis and management plan was made, and an electronic prescription for the same was generated and printed at the patient’s end. Results A total of 3219 patients were attended in 10 months. The majority of the cases had a gynecological problem (71.5%), with menstrual irregularity being the commonest. Among pregnant patients, consultations for early pregnancy complications were made in 29% of the cases. 5.8% were referred because of some surgical intervention. Conclusion Non-emergency patients who can be managed medically can be prevented from unnecessary visits to the hospital and managed through teleconsultation, which decreases the burden of patient load at the tertiary center.
Dust Properties of Comets Observed by Spitzer

As comets journey into the inner solar system, they deliver particulates and volatile gases into their comae that reveal the most primitive materials in the solar system. Cometary dust particles provide crucial information for assessing the physicochemical conditions in the outer disk from which they formed. Compared to the volatiles and soluble organics, the refractory dust particles are more robust and may be traceable to other small bodies. Using data from the Spitzer Heritage Archive, we present thermal dust models of 57 observations of 33 comets observed spectroscopically with the NASA Spitzer Space Telescope. This comet spectral survey offers the opportunity to study comets with data from the same instrument, reduced by the same methods, and fitted by the same thermal model using the same optical constants. The submicron dust tends to be dominated by amorphous carbon, and the submicron silicate mass tends to be dominated by amorphous silicate materials. We discuss the implications of these findings as they relate to Mg-rich crystalline silicates, which are high-temperature condensates, as well as to potential ion irradiation of amorphous Mg:Fe silicates prior to their incorporation into comets. These results impact our understanding of the protoplanetary disk conditions of planetesimal formation. Lastly, we cannot definitively conclude that a distinct difference exists in the dust composition between the Oort cloud and Jupiter-family comet dynamical population as a whole.
A Comparison of Study Behaviors and Metacognitive Evaluation Used by Biology Students

Student–study behaviors and metacognition are predictors of student-academic success. However, student metacognitive evaluation of their own study habit behavior use has been largely unexplored. To address this gap, we gave students enrolled in three different Biology courses (n = 1140) a survey that asked them to identify the study behaviors used to prepare for their first and third exams and to appraise the effectiveness of each behavior. We observed that, across all courses, students used different counts of active- and passive-study behaviors. However, there were no differences in performance across courses, and the use of effective (i.e., active) study behaviors resulted in improved exam performance for all students, regardless of course, while the use of ineffective (i.e., passive) study behaviors had no significant impact on exam performance. Finally, our qualitative analysis revealed that students across all courses demonstrated similar ability in identifying effective-study behaviors, but students could not explain why those behaviors were effective. Taken together, our study demonstrates that students use various study behaviors to prepare for exams without understanding their effectiveness. We encourage instructors to structure their courses to promote the development of metacognitive evaluation and effective-study behaviors.
Targeting enhanced neutralizing antibody responses via increased germinal center activity: early-phase vaccine trials with novel clinical designs

Purpose of review Recent advances in the understanding of the difficult immunologic requirements for the induction of broadly neutralizing antibodies for HIV have spurred interest in optimizing vaccine approaches intended to stimulate a robust germinal center reaction. In preclinical models, techniques to optimize the germinal center response have included alterations in the timing, dose, and delivery method of immunogens and have resulted in substantially enhanced germinal center responses in lymph nodes and neutralizing antibodies in serum. One of the most promising approaches involves splitting the initial dose of vaccine into a series of gradual escalating doses administration (“fractional escalating doses”). In principle, these techniques may have broad implications for vaccines targeting a robust antibody response. Recent findings We review the upcoming vaccine trials that will test these concepts in clinical practice. The trials include both HIV and non-HIV immunogens, and will involve testing these concepts in both healthy adults and immunocompromised persons. Summary There are multiple trials that will test whether techniques to alter vaccine delivery such as fractional escalating doses enhances immunologic outcomes.
Deep Learning for Optimization of Trajectories for Quadrotors

This letter presents a novel learning-based trajectory planning framework for quadrotors that combines model-based optimization techniques with deep learning. Specifically, we formulate the trajectory optimization problem as a quadratic programming (QP) problem with dynamic and collision-free constraints using piecewise trajectory segments through safe flight corridors [Liu et al. 2017]. We train neural networks to directly learn the time allocation for each segment to generate optimal smooth and fast trajectories. Furthermore, the constrained optimization problem is applied as a separate implicit layer for backpropagation in the network, for which the differential loss function can be obtained. We introduce an additional penalty function to penalize time allocations which result in solutions that violate the constraints to accelerate the training process and increase the success rate of the original optimization problem. To this end, we enable a flexible number of sequences of piece-wise trajectories by adding an extra end-of-sentence token during training. We illustrate the performance of the proposed method via extensive simulation and experimentation and show that it works in real time in diverse, cluttered environments.
Conservative World Models

Zero-shot reinforcement learning (RL) promises to provide agents that can perform any task in an environment after an offline pre-training phase. Forward-backward (FB) representations represent remarkable progress towards this ideal, achieving 85% of the performance of task-specific agents in this setting. However, such performance is contingent on access to large and diverse datasets for pre-training, which cannot be expected for most real problems. Here, we explore how FB performance degrades when trained on small datasets that lack diversity, and mitigate it with conservatism, a well-established feature of performant offline RL algorithms. We evaluate our family of methods across various datasets, domains and tasks, reaching 150% of vanilla FB performance in aggregate. Somewhat surprisingly, conservative FB algorithms also outperform the task-specific baseline, despite lacking access to reward labels and being required to maintain policies for all tasks. Conservative FB algorithms perform no worse than FB on full datasets, and so present little downside over their predecessor. Our code is available open-source via https://enjeeneer.io/projects/conservative-world-models/.
Is telestroke more effective than conventional treatment for acute ischemic stroke? A systematic review and meta-analysis of patient outcomes and thrombolysis rates

Background: Telestroke systems operate through remote communication, providing distant stroke evaluation through expert healthcare providers. The aim of this study was to assess whether the implementation of a telestroke system influenced stroke treatment outcomes in acute ischemic stroke (AIS) patients compared with conventional in-person treatment. Aims: The study group evaluated multiple studies from electronic databases, comparing telemedicine (TM) and non-telemedicine (NTM) AIS patients between 1999 and 2022. We aimed to evaluate baseline characteristics, critical treatment times, and clinical outcomes. Summary of review: A total of 12,540 AIS patients were included in our study with 7936 (63.9%) thrombolyzed patients. Of the thrombolyzed patients, 4150 (51.7%) were treated with TM, while 3873 (48.3%) were not. The mean age of TM and NTM cohorts was 70.45 ± 4.68 and 70.42 ± 4.63, respectively (p > 0.05). Mean National Institute of Health Stroke Scale scores were comparable, with the TM group reporting a non-significantly higher mean (11.89 ± 3.29.6 vs. 11.13 ± 3.65, p > 0.05). No significant difference in outcomes was found for symptoms onset-to-intravenous tissue plasminogen activator (ivtPA) times (144.09 ± 18.87 vs. 147.18 ± 25.97, p = 0.632) and door-to-needle times (73.03 ± 20.04 vs. 65.91 ± 25.96, p = 0.321). Modified Rankin scale scores (0–2) were evaluated, and no significant difference was detected between cohorts (odds ratio (OR): 1.06, 95% confidence interval (CI): 0.89–1.29, p = 0.500). Outcomes did not indicate any significance between both cohorts for 90-day mortality (OR: 1.16, 95% CI: 0.94–1.43, p = 0.17) or symptomatic intracranial hemorrhage (OR: 0.99, 95% CI: 0.73–1.34, p = 0.93). Results between groups were also non-significant when analyzing the rate of thrombolysis with ivtPA (30.86%± 30.7 vs. 20.5%± 18.6, p = 0.372) and endovascular mechanical thrombectomy (11.8%± 11.7 vs. 18.7%± 18.9, p = 0.508). Conclusion: The use of telestroke in the treatment of AIS patients is safe with minimal non-significant differences in long-term outcomes and rates of thrombolysis compared with face-to-face treatment. Further studies comparing the different methods of TM are needed to assess the efficacy of TM in stroke treatment.
Degenerate Interpretations of O3 Spectral Features in Exoplanet Atmosphere Observations Due to Stellar UV Uncertainties: A 3D Case Study with TRAPPIST-1 e

TRAPPIST-1 e is a potentially habitable terrestrial exoplanet orbiting an ultracool M dwarf star and is a key target for observations with the James Webb Space Telescope. One-dimensional photochemical modeling of terrestrial planetary atmospheres has shown the importance of the incoming stellar UV flux in modulating the concentration of chemical species, such as O3 and H2O. In addition, three-dimensional (3D) modeling has demonstrated anisotropy in chemical abundances due to transport in tidally locked exoplanet simulations. We use the Whole Atmosphere Community Climate Model Version 6 (WACCM6), a 3D Earth system model, to investigate how uncertainties in the incident UV flux, combined with transport, affect observational predictions for TRAPPIST-1 e (assuming an initial Earth-like atmospheric composition). We use two semiempirical stellar spectra for TRAPPIST-1 from the literature. The UV flux ratio between them can be as large as a factor of 5000 in some wavelength bins. Consequently, the photochemically produced total O3 columns differ by a factor of 26. Spectral features of O3 in both transmission and emission spectra vary between these simulations (e.g., differences of 20 km in the transmission spectrum effective altitude for O3 at 0.6 μm). This leads to potential ambiguities when interpreting observations, including overlap with scenarios that assume alternative O2 concentrations. Hence, to achieve robust interpretations of terrestrial exoplanetary spectra, characterization of the UV spectra of their host stars is critical. In the absence of such stellar measurements, atmospheric context can still be gained from other spectral features (e.g., H2O), or by comparing direct imaging and transmission spectra in conjunction.
Current Evidence for Hybrid Constructs

It is not surprising that the utilization of hybrid constructs, combining cervical disc arthroplasty with anterior cervical disc arthroplasty, has steadily increased over the last decade. Known limitations exist with multi-level anterior cervical disc arthroplasty and cervical disc arthroplasty procedures. Hybrid surgery offers the possibility to address patient-specific pathology in a more tailored manner by restoring functional mobility and promoting fusion where appropriate. This review discusses the current evidence, both biomechanical and clinical, of hybrid surgery for 2-level and 3-level cervical disease.
Epidemiology and Pattern of Pediatric Maxillofacial Trauma: A 5-Year Retrospective Study

Purpose: To analyze the epidemiology, pattern, and prevent measurement of pediatric maxillofacial trauma in Xinjiang, China. Patients and Methods: Clinical records of patients aged 0 to 18 years with maxillofacial trauma over the 5 years were reviewed. Epidemiological features of data were collected for the cause of injury, age and sex distribution, frequency and type of injury, localization and frequency of soft tissue injuries, facial bone fractures, and presence of associated injuries. Statistical analyses performed included descriptive analysis, χ2 test, and logistic regression analyses. Results: Among the 450 patients, 333 were male and 117 were female, with a male-to-female ratio of 3.8:1, the mean age was 9.2±5.4 years; 223 cases were soft tissue injuries and 227 cases were maxillofacial fractures. The 16 to 18-year-old group was the highest, with the prevalence of maxillofacial fractures. The most common cause of pediatric maxillofacial trauma was traffic injuries. Conclusion: The incidence of maxillofacial trauma in pediatric patients correlates with a number of factors, including age, sex, and etiology of trauma. The 16 to 18-year-old group is the most prevalent group for maxillofacial trauma in pediatric patients, and traffic accidents are the leading cause of maxillofacial trauma in pediatric patients.
Compass and Gyroscope: Integrating Science and Politics for the Environment, Kai N. Lee. 1993. Island Press, Washington, DC. 290 pages. ISBN: 1-59963-197-X. $25.00

Using the Columbia River Basin in the Pacific Northwest as a case study, Kai Lee describes the concept and practice of "adaptive management," as he examines the successes and failures of past and present management experiences. Throughout the book, the author delves deeply into the theoretical framework behind the real-world experience, exploring how theories of science, politics, and cognitive psychology can be integrated into environmental management plans to increase their effectiveness.
A shot in the dark? Developing a new conceptual framework for thanatourism

Whilst tourists’ fascination with visiting sites associated with death and human tragedy has received considerable academic and media attention, the scholarly literature on so-called ‘dark’ or thanatourism remains fragmented. Thus, this paper synthesises the extant literature and discusses the differing definitions of thanatourism, particularly highlighting the key differences between the terms dark tourism and thanatourism. The paper’s substantive contribution to the field, however, is its development and presentation of a conceptual framework of thanatourism which attempts to bring greater coherence to this fascinating but diverse area of tourism inquiry.
Hydraulic redistribution by plants and nutrient stoichiometry: Shifts under global change

Hydraulic lift, water movement from deep to upper soil layers by roots, is a widespread process in temperate and semi‐arid environments. It can contribute 17–81% of total water transpired and favour the uptake of nutrients available mainly from soil organic matter decomposition (e.g. N). Downward siphoning, water movement from upper to deep soil layers, can represent 10–60% of total transpired water, favouring the uptake of nutrients supplied mainly from the leaching of bedrock minerals (e.g. P and K). These vertical water movements also can affect the N : P ratio of runoff waters when, in the case of hydraulic lift, they open the possibility for a given pulse of water to circulate multiple times across the N‐rich upper soil layers. Plants, thus, affect the stoichiometry of nutrients in soils and groundwater not only through the physical protection of the soil and through the water uptake but also through water redistribution. Soil water redistribution can also play an outstanding role in the ecosystem responses to global change drivers. The increase in soil patchiness in current and future arid lands modifies runoff fluxes, hydraulic lift and downward siphoning, allowing plants to dispose of higher water and nutrient availabilities. The higher use of hydraulic lift and/or downward siphoning by alien species is a possible cause of alien plant success. Further mechanistic and quantitative research is thus warranted to discern the plant role in water and nutrient cycling and in the responses to global change. Copyright © 2014 John Wiley & Sons, Ltd.
Cyber Security Requirements for Platforms Enhancing AI Reproducibility

Scientific research is increasingly reliant on computational methods, posing challenges for ensuring research reproducibility. This study focuses on the field of artificial intelligence (AI) and introduces a new framework for evaluating AI platforms for reproducibility from a cyber security standpoint to address the security challenges associated with AI research. Using this framework, five popular AI reproducibility platforms; Floydhub, BEAT, Codalab, Kaggle, and OpenML were assessed. The analysis revealed that none of these platforms fully incorporates the necessary cyber security measures essential for robust reproducibility. Kaggle and Codalab, however, performed better in terms of implementing cyber security measures covering aspects like security, privacy, usability, and trust. Consequently, the study provides tailored recommendations for different user scenarios, including individual researchers, small laboratories, and large corporations. It emphasizes the importance of integrating specific cyber security features into AI platforms to address the challenges associated with AI reproducibility, ultimately advancing reproducibility in this field. Moreover, the proposed framework can be applied beyond AI platforms, serving as a versatile tool for evaluating a wide range of systems and applications from a cyber security perspective.
Orange peels and Chlorella vulgaris supplementation ameliorate gamma radiation‐induced oxidative stress by regulating TGF‐β and NOX2/NOX4 signaling pathways

Numerous studies revealed that Chlorella vulgaris and orange peels are potential sources for many valuable compounds such as flavonoids, which are natural polyphenols with antioxidant capacities that lessen oxidative stress via suppressing ROS levels. Thus, this study was designed to investigate their radioprotective efficiency either alone or in combination as natural food supplements. Sixty‐four male Albino rats were divided into eight groups (n = 8) as follows: control, orange peel (10% in diet), C. vulgaris (1% in diet), orange peel + C. vulgaris, gamma irradiated (2Gy twice per week up to 8Gy), orange peel + gamma irradiation, C. vulgaris + gamma irradiation, and orange peel + C. vulgaris + gamma irradiation. After the experiment, blood serums were collected for biochemical analysis, whole bloods were collected for blood picture, bone marrows were collected for GSH, MDA, TGF‐β, NOX2 and NOX4, and liver tissues were collected for histopathological evaluation. Current study revealed that exposure to gamma irradiation induced a significant disturbance in liver function markers (ALT and AST), kidney function markers (urea and creatinine), cholesterol and triglycerides levels in serum. In addition, a significant decrease in WBCs, RBCs, PLT, and Hb in blood of irradiated rats. Moreover, a significant elevation in TGF‐β, NOX2, NOX4 activities, and MDA level, while showed a marked decrease in GSH concentration. Furthermore, hepatic inflammation appeared in the histopathological examination. Orange peels or C. vulgaris treatments showed acceptable amelioration in all measured parameters, combination between orange peels and C. vulgaris showed statistically significant additive amelioration in radiation induced disturbance.
Capitalist Diversity on Europe's Periphery. Cornell Studies in Political Economy

struggle for establishing an independent state, Russia has managed to compromise both’ (p. 273). Although the state has thus far proven to be more durable than democracy, there are still limits to the state project that work against the establishment of fully-fledged authoritarian rule. Bunce’s consequent claim of an ‘unstable equilibrium’ (p. 273) in the spheres of both state and regimebuilding is mirrored in Protsyk and Harzl’s assessment of the ethno-political sphere, which argues that Russia does not fit easily into either the integrationist or the power-sharing models of diversity management and, moreover, lacks any ‘grand design’ in its approach to the issue (p. 10). While many of the contributions to this volume outline possible future scenarios and offer interesting prescriptions for policy development in particular areas, one is left wondering where Russia might possibly go from here.
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

Large-scale text-to-image generative models have been a ground-breaking development in generative AI, with diffusion models showing their astounding ability to synthesize convincing images following an input text prompt. The goal of image editing research is to give users control over the generated images by modifying the text prompt. Current image editing techniques are susceptible to unintended modifications of regions outside the targeted area, such as on the background or on distractor objects which have some semantic or visual relationship with the targeted object. According to our experimental findings, inaccurate cross-attention maps are at the root of this problem. Based on this observation, we propose Dynamic Prompt Learning (DPL) to force cross-attention maps to focus on correct noun words in the text prompt. By updating the dynamic tokens for nouns in the textual input with the proposed leakage repairment losses, we achieve fine-grained image editing over particular objects while preventing undesired changes to other image regions. Our method DPL, based on the publicly available Stable Diffusion, is extensively evaluated on a wide range of images, and consistently obtains superior results both quantitatively (CLIP score, Structure-Dist) and qualitatively (on user-evaluation). We show improved prompt editing results for Word-Swap, Prompt Refinement, and Attention Re-weighting, especially for complex multi-object scenes.